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  • Chinese Internet Growth is Staggering and is Still an Enormous Business Opportunity

    Chinese Internet Growth is Staggering and is Still an Enormous Business Opportunity

    South China Morning Post CEO Gary Liu recently gave a Ted Talk explaining the staggering growth of the Chinese internet and how it is rapidly changing millions of lives for the better. What’s especially fascinating is how impactful their internet growth has been for the Chinese migrant workers and the poor and how this is only the beginning.

    There are still 600 million Chinese offline, their wages are rising too which means their spending power is a huge opportunity for internet startups. 

    South China Morning Post CEO Gary Liu talks about the impact of 772 million Chinese that are now on the internet:

    Technology is Changing China

    Once every 12 months, the world’s largest human migration happens in China. Over the 40 day travel period of Chinese New Year 3 billion trips are taken as families reunite and celebrate. The most strenuous of these trips are taken by the country’s 290 million migrant workers for many of whom this is the one chance a year to go home and see parents and children they left behind.

    Travel options are very limited with plane tickets costing nearly half of their monthly salary, so most of them choose the train. Their average journey is 700 kilometers, the average travel time is over 15 hours and the country’s tracks now have to handle 390 million travelers every Spring Festival.

    Until recently, migrant workers would have to queue for long hours, sometimes days, just to buy tickets often only to be fleeced by scalpers and they still had to deal with near stampede conditions when travel day finally arrived, but technology has now started to ease this experience. Mobile and digital tickets now account for 70% of sales, greatly reducing the lines at train stations, digital ID scanners have replaced manual checks expediting the boarding process, and artificial intelligence is deployed across the network to optimize travel routes.

    New solutions have been invented, China’s largest taxi hailing platform Didi Dache launched a new service called Hitch which matches car owners are driving home with passengers looking for long-distance routes. In just its third year Hitch served 30 million trips in this past holiday season, the longest of which was further than 1500 miles. That’s about the distance from Miami to Boston.

    China’s “Need Economy” is Driving Innovation

    About a year and a half ago I moved from my home in New York City to Hong Kong to become the CEO of the South China Morning Post and from this new vantage point. I’ve observed something that is far less familiar to me, propelling so much of China’s innovation and many of its entrepreneurs is an overwhelming need economy that is serving an underprivileged populace which has been separated for thirty years from China’s economic boom.

    The stark gaps that exist between the rich and the poor, between urban and rural, or the academic and the unschooled, these gaps form a soil that’s ready for some incredible empowerment. When capital and investment become focused on the needs of people who are hanging to the bottom rungs of an economic ladder that’s when we will start to see the internet truly become a job creator.

    Because of the country’s sheer scale and status as a rising superpower, the needs of its population have created an opportunity for a truly compelling impact. When explaining the rapid growth of the Chinese tech industry, many observers will cite two reasons. The first is the 1.4 billion people that call China home.

    Chines Government: “Active Participation” or “Pervasive Intervention”

    The second is the government’s active participation, or pervasive intervention, depending on how you view it. The central authorities have spent heavily on network infrastructure over the years creating an attractive environment for investment at the same time they’ve insisted on standards and regulation, which has led to fast consensus and therefore fast adoption.

    The world’s largest pool of tech talent exists because of the abundance of educational incentives. Local domestic companies in the past have been protected from international competition by market controls. Of course, you cannot observe the Chinese internet without finding widespread censorship and very serious concerns about dystopian monitoring.

    Yet, the Internet Has Continued to Grow

    Yet the Internet has continued to grow and it is so big, much bigger than I think most of us realize. By the end of 2017, the Chinese internet population had reached 772 million users. It’s larger than the populations of the United States, Russia, Germany, United Kingdom, France, and Canada combined. Also,  98 percent of them are active on mobile and 92 percent used messaging apps. There are now 650 million digital news consumers and 580 million digital video consumers.

    The country’s largest ecommerce platform Alibaba now boasts 580 million monthly active users. It’s about 80 percent larger than Amazon. On-demand travel between bikes and cars now account for 10 billion trips a year in China. That’s two-thirds of all trips taken around the world. So it’s a very mixed bag the internet exists in a restricted, arguably manipulated from within China, yet it is massive and has vastly improved the lives of its citizens. Even in its imperfection, the growth of the Chinese Internet should not be dismissed and it’s worthy of our closer examination.

    As the Chinese Internet continues to grow, even in its imperfection and restrictions and controls, the lives of its ones forgotten populations have been irrevocably elevated. There is a focus on populations of need, not of want, that has driven a lot of the curiosity, the creativity, and the development that we see. There’s still more to come.

    An Enormous Opportunity: 600 Million Chinese Offline

    In America, internet penetration has now reached 88 percent. In China, the Internet has still only reached 56 percent of the populace. That means there are over 600 million people who are still offline and disconnected. That’s nearly twice the US population and an enormous opportunity.

    Wherever this alternative fuel exists, be it in China or Africa or Southeast Asia or the American heartland we should endeavor to follow it with capital and with effort driving both economic and societal impact all over the world. Just imagine for a minute what more could be possible if the global needs of the underserved become the primary focus of our inventions.

  • How to Use Data to Become Incredibly Customer Centric

    How to Use Data to Become Incredibly Customer Centric

    Steve Stone, former CIO of L Brands and Lowes, recently discussed how retailers can use data to serve their customers better and become incredibly customer-centric:

    Retail Grew Up Differently

    When you think about retail, retail grew up differently. We started with stores and then we eventually added e-commerce. We were also very much notorious best-of-breed in the way we build our applications. Over time, you’ve got this technical debt where information about the customer and information about the product is stored in many different places.

    When you’re trying to build an integrated seamless frictionless customer experience it’s very hard to do that if your information is disjointed. One of my favorite sayings is if the plumbing isn’t right it doesn’t matter how nice the experience is it just isn’t going to work. This is a huge challenge for retailers and it’s where technology really has to play a role, not only to combine the information but to find ways to add speed and agility to the entire process.

    Data Key to Meaningful Customer Experiences

    I’ve always said data governance isn’t exactly sexy but it’s it’s what really drives the ability to deliver those types of meaningful customer experiences. With the focus now today on the customer experience with the Internet of Things and with all these new technologies coming at us and especially with the advent of AI and machine learning, we now see that data has to be right, the hygiene has to be great. Suddenly, master data has become a vogue term in retail and in consumer products.

    I think the biggest problem a lot of companies find is they’ve got to find a place to start. You’ve got to get that starting point. Picking an experience, an experience that you want for the customer, and then flowing back through, where are all the interaction points of data, where does it originate, and where is it getting corrupt? Cleansing that and building that one experience we’ll start you on your journey.

    Be Customer Centric, Not Product Centric

    After that, it’s really getting into the plumbing and understanding your data and understanding the customer. It’s always amazing when we build these great customer experiences, but they’re built more for us and not for the customer. At L Brands we always put the customer first. Be customer centric, not product-centric. How do we integrate, how do we become customer first in everything that we do?

    We’re really at the point now where the technology exists to do this right. The integration platforms such as MuleSoft are really strong now that allows you to stitch together your applications plus build an extensible layer where applications can change quickly. That experience becomes one where if I’m a customer and I walk into a store and you don’t have the product I want there’s no problem. The product will still be at my doorstep the next day or hopefully that day.

    Knowing Your Customer

    I’m online and I want this product and I don’t want to have to wait for it to come from your distribution center in Detroit or Wisconsin. I want it and I’m in California and I get it in a couple of hours because the retailers are able to use the inventory in those local stores.

    As a customer, you know me regardless of the channel, whether I came to you via the call center or whether I came to you in a store or online. You know me and that’s to me where retailers have to be. I don’t think that’s differentiating as much anymore, instead, I think that’s becoming the table stakes.

    You can’t compete against the past, you’ve got to compete against what the future is going to be. I see retail changing so much from inventory, from the customer, and even the whole level of personalization that we’re trying to offer to the customer now. The customer is going to be asking for things that we would never have dreamed possible and yet in a few years we’re going to be delivering it.

    The Best Retailers Cater to Their Customers

    Retailers that I really admire are Costco, Lilly Pulitzer, Ulta Beauty, Tractor Supply, they have a really great connection with their customer. They cater to that customer and they’re building out technology capabilities that really allow that customer to operate on their terms, not on the retailer’s terms, and I just think that’s so powerful.

  • Study Says Half of All Tasks Will Be Automated… Are We Facing a Jobless Future?

    Study Says Half of All Tasks Will Be Automated… Are We Facing a Jobless Future?

    Is artificial intelligence going to replace our jobs? That’s the question a panel of experts discussed at the Salesforce Dreamforce conference. James Manyika, Director of the McKinsey Global Institute, says that about half of all job tasks and activities are going to be replaced by AI. Are we facing a jobless future?

    James Manyika, Chairman, and Director of the McKinsey Global Institute talks about the impact of AI on jobs:

    When we think about AI, first it’s important to recognize that this is actually an extraordinary time and we’ve made so much progress in AI in the last five years or 10 years, much more than the last 50 years. Of course, these questions about work become very important to us. Rather than start with jobs, we should think about activities and tasks because what we all do is actually composed of tasks and activities. In fact, if we take any of our occupations they’re made up of a variety of tasks that we do every day and AI and other automation technologies are starting to be able to automate those tasks.

    We’ve looked at something like over 2000 activities and tasks that make up what people do in the economy and you look at what’s now possible to automate based on AI and automation technologies, you very quickly come to the conclusion that it looks like it’s going to be possible to automate close to about half the tasks that people do. That’s a lot, but it’s important to recognize these are tasks, not jobs because any job also constituent activities.

    If you then take this task view and then you try and map it back into occupations, the Bureau of Labor Statistics (BLS) tracks about 828 occupation categories. If you map these back to those occupations, you suddenly realize that about 10 percent of occupations look like they have nearly 100 percent of their tasks that can be automated. Approximately 60 percent of occupations have about a third of their constituent activities that can be automated. That means that many more occupations are going to be augmented by technology than will be automated away.

    It’s natural to wonder, so are we facing a jobless future? We concluded with the research that we’ve done that yes, of course, there will be jobs lost, but there will also be jobs gained, and also jobs changed. In some ways, the jobs that are going to be gained and changed are probably a much larger number. So do I worry about a jobless future, I actually don’t. That’s actually the least of my worries.

  • LA Times Owner Slams Facebook saying “Social Media is the Cancer of Our Times”

    LA Times Owner Slams Facebook saying “Social Media is the Cancer of Our Times”

    The billionaire owner of the Los Angeles Times, Patrick Soon-Shiong,  says that social media is the cancer of our times and a form of metastasis of news. He particularly slammed Facebook, calling it “fake news.” He also wants to embed more technology into the news business in the form of cloud computing, AI, and predictive modeling in order to make the news product more compelling to the consumer.

    He also believes fervently that the subscription model must replace the free model prevalent on the internet today in order to make the news industry sustainable.

    Patrick Soon-Shiong made his case for the news business on CNBC this afternoon:

    It’s Essential that News Media is Sustainable

    I don’t see the newspaper industry as philanthropic at all. I think it’s essential that it’s sustainable and not as a newspaper but as a news media. I see this as journalism doing incredibly important stories, and that’s basically storytelling. How we publish these stories, whether it be a podcast, digital, video, over-the-top, or newspaper is where we need to go as an industry.

    We need to take cloud computing, artificial intelligence, predictive modeling to create something of value to you, not from an advertising model but as an educational inspirational model. The opportunity to inspire, educate and inform is where I see our newspaper going. It has to be a subscription model by the way.

    Social Media is the Cancer of Our Times

    I think it’s either an unintended or an intended consequence of advertising. If you look at Facebook, it’s an advertising facing organization which then really cannot differentiate from the so-called fake news, opinion news, and real news.

    This short attention span that we’re now creating within this millennium is actually very dangerous. It’s an unintended consequence of social media and it’s a cancer of our times and social media is the form of metastasis of news. We need to change that paradigm.

  • Ford CEO: A New Cloud-Based System Being Developed to Control All Driverless Cars

    Ford CEO: A New Cloud-Based System Being Developed to Control All Driverless Cars

    The automobile business has become a technology business with the advent of driverless cars that learn on their own via artificial intelligence. Now we have learned that Ford is involved in working on a cloud-based central monitoring system that will revolutionize transportation. There are privacy implications too, where governments will know where your car is at 24 hours a day.

    From a technology standpoint, this cloud system will help prevent accidents, keep traffic moving, enable smart intersections and promote environmental advantages by bringing more efficiency to every transport mile.

    Ford Motor Company President and CEO James Hackett discussed this concept this morning at the Bloomberg Global Business Forum in New York:

    Three Transformative Technologies

    Ford’s advantage in the future is that it’s got in its hand in three technologies that have been transformative. The first is the nature of propulsion which is moving from gas to electric. It might surprise you that less than 5 percent of the market right now is electric, but it’s estimated to be 30 percent in the near future.

    The second technology has to do with robotics. You’ve heard about AI where the vehicle is so smart that it can drive itself in the future. The third technology, which isn’t as public, is the notion of a cloud-based system over the vehicles. The confluence of the three of these technologies means that we can now design transportation systems differently and with a system that enables and empowers a better CO2 outcome.

    A New Cloud-Based System Being Developed to Control All Driverless Cars

    This cloud-based structure is something that hasn’t been here and what it allows is the vehicle and the city to now have a connection. I was in a discussion yesterday with Prime Minister Trudeau and he asked while we were sitting in a traffic light late in the evening when there is nobody in the intersection, why does the red light stay on. In the future, the vehicle will be mediated through intersections like that with this smart system.

    If you are an investor looking at this it will be over an $11 trillion industry. This is why the tech industry is so interested in our business because it’s a systems play of the smart technologies of the vehicle and the environment coming together. It’s talking about building bandwidth so the vehicles can communicate, 5G is really important. It’s also about making smart intersections so that the navigation of the vehicles are safe.

    Then a third idea is parking where we can have the vehicle communicate with parking spaces. You lose more fuel efficiency trying to find a parking space than you do being stuck in traffic.

    Combination of Vehicles and Technology Now Defines the Car Business

    I look at the car business as a combination of vehicles and technology which is what’s defining it in the future, versus just thinking about it as a pure vehicle. Think of it this way, the cars have a number of computers and software in them today but the way they are in the future is really rolling computers. You have to think of the business differently because of that.

    Ford Committed to be “In Market” with a Driverless Car by 2021

    Ford is committed by 2021 to be in market with a driverless electric car. But this is a marathon, the cars will be super smart and they learn. The way they learn is by being driven. When they hit the market they will be safe, probably have narrow assignments as to what they can do, but over time they will expand.

    The great thing is that when you hear about serving the world, this is going to allow us to do things because the vehicle is intelligent, like getting goods to people that couldn’t get it, helping people have jobs that don’t have transportation today or helping take older people to the doctor. This kind of assistance will be available with that technology.

    This aspect of the car business is one where there is no profit yet, the technology is new, the design of the systems is emerging, but it’s where all the future will be.

  • Marriott Using Salesforce Einstein to Reinvent the Hotel Experience

    Marriott Using Salesforce Einstein to Reinvent the Hotel Experience

    Salesforce Co-founder & CEO Marc Benioff announced at the Dreamforce conference a new partnership with Marriott that is going to bring the power of artificial intelligence into the hotel room via a phone app. This new Marriott app will connect directly with a Salesforce Einstein powered customer database that knows the customer’s preferences and will be accessible via Siri and other voice recognition platforms.

    Marc Benioff provided some interesting details of the Marriott and Apple partnership and in a discussion with CNBC’s Jim Cramer at the Dreamforce conference:

    Marriott Using Salesforce Technology to Reinvent the Hotel Experience

    Every company has to rethink who they are in the fourth industrial revolution. This includes Marriott, that’s why Arne Sorenson is here, the CEO of Marriott, and you are going to see in the keynote a whole new vision for the future of Marriott. All the technology, everything they need to do to connect with their customer in a whole new way via Salesforce.

    That includes the ability to check into a Marriott with your digital key right on your phone, and then the ability to talk to Siri and order your favorite sandwich. In the Salesforce customer database, we will know you want a turkey sandwich and we are going to bring it to your room. Then if you tell Siri to lower the lights and put the room temperature to 67 degrees the lights go down and the temperature adjusts.

    Salesforce Einstein Radically Empowering the Customer

    How does it know, where does it get all the data, how does it have the customer background, it comes from Salesforce, we’re the backend. This is what the conference is about, helping these incredible people, our trailblazers, know how to build these systems. We had to build something amazing first. This isn’t voice recognition that we did. We had to build something called Salesforce Einstein, the number one artificial intelligence platform in enterprise applications. We now are doing billions of Einstein transactions every day giving the ability for our customers to radically use artificial intelligence to make them more productive and smarter about their customers.

    We are connecting Einstein to Siri or Einstein to any other voice platform, then we take that voice recognition and we are able to move it to the database. Don’t forget, when I say I want my favorite sandwich, Siri knows what I’m saying with my voice, but then we have to take that and retrieve it or insert into the customer database. That’s the magic, that’s Einstein Voice, it is the glue, the middleware that links all the voice systems that you are using in your home and your phone with the number one CRM in the world Salesforce.

    Marc Benioff Say the Economy is Ripping

    The economy is ripping. There is incredible demand from customers to rebuild their systems, they’re benefitting from the tax breaks, they are benefitting from a huge economy that is growing at rates they’ve never seen before. Even here in San Francisco, our unemployment now is below 3 percent. That’s amazing!

  • How to Write Code 10-20 Times Faster

    How to Write Code 10-20 Times Faster

    Writing code is at the heart of software and it’s what makes applications like Google, Facebook, and Tinder work. The problem for startups and large enterprises alike is that writing code is a tremendous undertaking, costs a lot of money and takes a lot of time. For years, companies have been trying to create code-writing software with limited success.

    Appian CEO and founder Matt Calkins says that their code writing platform is a generational improvement that will literally, according to an independent study, enable developers to write code 10-20 times faster because it takes the code writing out of code writing.

    Matt Calkins explains how their revolutionary code writing platform works in an interview this morning on Squawk Box:

    We Can Write Code 10-20 Times Faster

    These days companies compete based on the software they write, that’s how they impress us. As customers, every company has to be more efficient but also more appealing. It used to be just back office and now it’s front office too, now it’s appealing to everybody and differentiating from their competition.

    Every company’s got to write a lot of software and they need a faster way. We can write code 10-20 times faster because instead of writing it by lines you draw it like a picture. It’s a flowchart with boxes and arrows and you depict your intentions in the software and then we translate that into code. It’s an interpretation layer, you could think of it as a code already existing but it’s not blocks of code because that wouldn’t be smart.

    Built-In Artificial Intelligence

    The is absolutely AI in there, but AI is not the translation it’s just an augmentation. AI isn’t smart enough yet to actually write your code. The important thing here is there’s never an authoritative layer that you can go down to and modify. We’re interpreting your instructions, so you express what you want in software and then we interpret that on every mobile device and on any cloud in a scalable way.

    You write something in Appian and it’s going to end up being in a native app on your phone. It’s going to be a native app on every phone and every device. Appian is going to translate your intentions that you expressed in a flowchart in drag and drop ways into a piece of software that’ll run on your phone.

    What’s Missing in Code Writing is Simplicity

    Over the years there have been a lot of attempts to create an easy way to write software and this is the latest generation and I think it’s gone a lot further than the other generations. You can tell that because we’re being run by the biggest organizations in mission-critical ways, unlike these old attempts that kept it simple and weren’t powerful enough to do the top job. We’ve got some of the top firms in almost every industry around the world running multi-million dollar applications on the Appian platform which shows that it’s really industrial strength stuff.

    My mission is simplicity, with the organization too, everything about creating code should be simpler in order to allow people to develop more of it and change it faster. I think that’s what’s really missing in code.

  • The Case for Amazon Hitting $2 Trillion First

    The Case for Amazon Hitting $2 Trillion First

    Keith Fitz-Gerald, an experienced trader, and analyst for Money Map Press was asked by Stuart Varney on Fox Business today to explain his rationale for Amazon hitting a $2 trillion valuation before Apple:

    “There are four key businesses here, artificial intelligence, entering your home, big data, and distribution into advertising. That’s the four business segments that are going to move Amazon faster and farther than Apple, which is now under Tim Cook’s leadership falling behind in the home market.

    I’m still working on the math, it varies with each earning season, but I’m saying 24 months, possibly less.”

    “Unbelievably, many investors still think of Amazon as a “shopping” company,” noted Fitz-Gerald in his investor report. “I get it – my family and I seem to single-handedly support the company’s shopping revenues. And, like many people, I’m saying that only halfway in jest! But Team Bezos is much more than that, and the fact that most investors can’t see beyond the packing tape is a huge opportunity for you to jump in… before the markets recognize the profit potential we’re about to discuss.”

    He says that many analysts believe that the single biggest driver will be Amazon Web Services (AWS), but he believes the real value creator is artificial intelligence (AI) led by Alexa:

    “Voice-driven technology is going to be an $18 billion market in under five years, according to Markets and Markets, but I think that is far too conservative. $30 billion is probably far more likely. That’s because Alexa learns from everything it hears.”

    Fitz-Gerald added: “Imagine telling Alexa… “I want a doctor’s appointment on Tuesday morning and my test results slated for midday. Oh… and I’d like my medicine delivered to my home that afternoon – all at 10% or less of what I’ve paid in the past.””

    Read his full investor report on how Amazon will hit a $2 trillion market cap first here.

  • Oracle’s Autonomous Database Cloud is a Huge Technological Advantage

    Oracle’s Autonomous Database Cloud is a Huge Technological Advantage

    The release by Oracle of its AI-powered Autonomous Database Cloud earlier this year and just adding Transactional Processing to its abilities last week is huge for Oracle and its customers who need this cutting edge technology. Oracle considers the Autonomous Cloud a generational release because it literally is the first database in the world that can build itself and update itself without human help.

    Oracle CEO Mark Hurd recently spoke to CNBC’s “Squawk Alley” about it:

    Oracle Autonomous Database Is a Generational Release

    Probably our most important generational database release is the Autonomous Database. This is where the database is integrated with AI and machine learning that really just self-patches and self-tunes. It actually creates a position where your security issues go down, you get higher uptime, and you pay less money. We really never in our history had a database release that had as many positive business outcomes as opposed to just technology.

    This is a place where you get better performance, more uptime and you will eliminate tons of labor. Most of our customers, for example, I know this has become a bigger issue with C-Suites now where the amount of time it actually takes to patch software can be months for most of our customers.

    This release of the Autonomous Database literally eliminates that need to patch. This is a generational release for us as we bring it to market.

    Oracle BYOL Explained

    Let me explain BYOL (Bring Your Own License). That is simply where you can buy a license and you can use it on-premise or in the cloud, so it’s basically a currency that you can move across platforms. We’re one of the very few companies that allow you to do that, so we believe it’s an advantage for our customers and what they want and that’s why we utilize that strategy.

    Second,  I think you need to divide up what’s happening in the applications market versus what’s happening in the infrastructure and platform market. In the applications market, there’s an opportunity now for most companies to modernize all of their systems.

    ERP is Moving to the Cloud

    Let’s start with the back office systems, the biggest category of back-office applications is called ERP. ERP is basically companies financial supply chain manufacturing systems, etc.

    All of those are really going to get replaced over the next several years as companies move to the cloud where there are much more innovation and much more work done by somebody else as opposed to by the customer. We’re in the very early innings of that market.

    Oracles Technology is a Competitor Differentiator 

    We have a significant lead technology wise in ERP and we went through a ton of customer wins in the quarter. That market is going to over the next several years be very exciting. The technology infrastructure market, that’s as you move further up the stack, meaning from compute and storage to database to other tools and systems, Oracle gets more differentiated from competition the further you move up the stack.

    Just replacing somebody’s computer with somebody’s infrastructure, while that’s interesting, the more technology you have and the more IP differentiates Oracle. Oracle has always been differentiated by doing the hardest jobs the best, by investing in R&D and investing in innovation.

    Oracle Autonomous Database for Transactional Processing Announced

    Larry Ellison, Oracle Co-Founder, CTO, and Executive Chairman, made the announcement:

    We’re announcing the immediate availability of the Oracle Autonomous Database transactional processing. Now the machine learning based technology not only can optimize itself for queries for database warehouses and Data Marts, but it also optimizes itself for transactions.

    It can run batch programs, reporting, Internet of Things, simple transactions, complex transactions, and mixed workloads. Between these two systems, the system that is optimized for data warehousing and the system that’s optimized for transaction processing, the Oracle Autonomous Database now handles all of your workloads. All of them.

    Larry Ellison also recently gave his take on the Autonomous Database Cloud:

    The cool thing about the Autonomous Database Cloud is because it is autonomous the database is fully automated.  Human Beings don’t create the database, the database creates itself. Human Beings don’t tune the database, the database tunes itself.

  • How Adobe is Using AI to Transform the Customer Experience

    How Adobe is Using AI to Transform the Customer Experience

    Adobe has now integrated their artificial intelligence platform Adobe Sensei into Photoshop and most of their creative products. “Adobe Sensei is an AI and machine learning platform that deeply understands how our users work and delivers a lot of simple workflow that makes that magical moment happens in any of our applications,” noted Abhay Parasnis, CTO & EVP at Adobe. “What makes Sensei so unique is that Adobe is the only company in the industry that can marry art of content and creative expression and science of delight on a massive scale.”

    “The key areas we focus on are content intelligence, computational creativity, and the experience which is related to understanding events related to how content is delivered,” commented Scott Prevost, VP Engineering of Adobe Sensei and Search in an Adobe explanation of the product.

    “If I can go all the way from how I create content in the creative tool and then have the ability to personalize it at scale to Adobe Experience Cloud, then have the ability to measure it through analytics and feed the measurement back into the creative workflow, saying these designs work better, that actually is the holy grail in what customers tell us they want,” says Parasnis.

    Shantanu Narayen, Adobe CEO, recently commented on CNBC about how this is helping to improve the Adobe customer experience:

    On the creativity side, everybody fears the blank page, so if AI can start to infer what people want to do in terms of using either Photoshop or one of our creative products and when you can speak to the computer and it understands and infers what you want to do and makes our products and tools more accessible, that’s a huge win. Then you can attract a tremendous amount of customers.

    At the other end of the spectrum, when you have millions of customers hitting your website, the AI that we have on the Digital Experience Cloud being able to infer intelligence from the trillions of transactions and ensure that you get the right offer that was meant for you in real time, that’s something that humans cannot do.

    Those are two really good examples at different ends of the spectrum of how AI enables our customers to do more with our technology.

  • How IBM Watson AI Technology Was Used at the US Open

    How IBM Watson AI Technology Was Used at the US Open

    At the Streaming Media East 2018 conference, David Clevinger, Senior Director, Product Management & Strategy, IBM Cloud Video, discussed how Watson’s AI technology was used at the recently concluded US Open Tennis Championship:

    The typical use case that we’ve been seeing is media entities that have large back catalogs of content that was originally created when they didn’t have complex metadata toolsets, didn’t have necessarily the right people applying metadata, didn’t think of all the use cases on the output side, such as historical content.

    Teaching Watson About Tennis

    A very concrete example is work that we’ve done for the US Open. We actually took hundreds of thousands of video clips and photos and news articles and vocabulary terms and proper names and fed it to Watson and helped Watson to understand what tennis was about. This was so that it could do things like when you heard the word “ash” it was capital ASHE, Arthur Ashe, as opposed to lowercase. There was a lot of training around that.

    The output then became our ability to create clips based on what was happening within an event but also to describe historical video as well. That’s critical for companies with large media back catalogs who then need to optimize that before. You can apply it to live, of course, but that’s a typical use case that we see.

    It’s a Recursive Learning System

    It’s a recursive learning system where we took a cross-section of a set of video assets, described it to Watson, said this is what’s going on, this is who this player is, and this is what is being said. We were then able to turn it loose really on other unstructured assets, have it say what it thought it was finding, and then we were able to correct it.

    We were able to basically train it up to understand tennis specifically.

    Teaching Watson to Score Excitement

    Then the output was we could then turn it loose on a bunch of different kinds of outputs for the client. The outputs are closed captioning, video clips, and excitement scoring. We were able to do things like listen for crowd noise and then say this must be really exciting because the crowd is making a lot of noise at this moment, so we were able to turn that into an excitement score.

    We wouldn’t be able to do that if we didn’t really help the algorithm understand what it was looking at and how it should be thinking about that body of work. Then we just turned it loose and let it go.

    That’s the idea, to get it to the point where you can just turn it loose and let it run.

  • For HR, the Key to the Future is Embracing Technology for the Betterment of Humans

    For HR, the Key to the Future is Embracing Technology for the Betterment of Humans

    “The thing about human resources that I’ve noticed is that I think we are really approaching the time where the end of business as usual is happening and human resources and business follows as a consequence,” noted Gerd Leonhard, Futurist and Author of ‘Technology vs Humanity‘ in a recent talk at the 2018 BeyondHR forum in Amsterdam. “When we talk about people, what do we do in the future? All of the mechanics of today’s business, salaries, hiring, firing, vetting, taxes, etc., I think machines can do a lot of that.” Of course, he’s talking about very intelligent machines that learn via machine learning and utilize cognitive computing enabling the reviewing billions of data points within seconds in order to make recommendations and in some cases actual decisions that impact humans.

    Social Responsibility of HR and Technology

    “Clearly, the more connected we become, the stronger we must think about responsibility, ethics, design, social contracts. When HR moves to the cloud, and many of you are already in the cloud, the possibilities are endless but the responsibility is also increasing. It’s a very powerful tool, so if something goes wrong it can also have very powerful consequences. The primary moving count is that we should put human flourishing first, put the human inside. We should never ask the question if technology can do something, just because it can. Right now, that’s still a question, but in ten years technology can literally do anything. Once we have quantum computing, that’s roughly 5-7 years to really happen, then we have unlimited juice where we could do anything. Humanity will change more in the next 20 years than it has in the previous 300 years!”

    So How Does This Impact HR?

    “Anything that cannot be automated or digitized becomes more valuable and that is going to be the tough part for HR,” says Leonhard. “How in the world would you measure people based on those KPI’s, so to speak, the KPI of compassion? In a way, you do that now but you do it in a non-scientific way, you do it personally. And how do you teach somebody emotional intelligence?” We are moving to a world where emotional intelligence is becoming just as important as IQ for HR managers, according to the author.

    “We should embrace technology but not become it. I think for HR that holds the key to the future, embracing technology but in such a way that we can still serve humans.

  • What Are Businesses Trying to Accomplish with AI-Powered Customer Support?

    What Are Businesses Trying to Accomplish with AI-Powered Customer Support?

    Everyone hates automated customer support… right? Actually, every customer hates automated customer support. Companies love it because it saves them money that they assume is pure overhead. However, what if automated support could be beneficial to both customers and companies? That’s the promise of AI-powered automated customer support.

    “A big part of what we need to be able to do at a call center is to help our clients gain that insight to go away with something they didn’t even know they needed before they came into the situation,” noted Rob High, Chief Technology Officer of IBM Watson. “Creating a conversational system within a call center is not something that you simply drop into place and expect on day one to have everything answered that you are trying to accomplish.”

    What Are Businesses Trying to Accomplish with Conversational AI Customer Support?

    1. Automating tasks better and faster.
    2. Augmenting experiences in order to orchestrate activities.
    3. Transform and improve your business.

    “Ultimately, what many of us are looking for the ability to transform our businesses, to really achieve something greater than what we are able to do today,” says High. “This is to address our clients needs in ways that perhaps haven’t really been considered in the past or that will result in us being able to differentiate ourselves as a business.” That progression, he says, is one that needs to be taken a step at a time because as each step is taken you are increasing the complexity and the data that are needed to bring value.

    Evaluating the Conversational Support Option

    It’s a long (and often expensive) process to implement AI-powered conversational support into your business call center. So how does your company justify going down this road? IBM’s Rob High thinks there are five concerns to consider:

    1. Business Value – Address a clearly recognized business opportunity or pain point. “Do you really have a business value proposition that you are trying to address?” asks High. “Is there value that you can identify out of the results that you are trying to create? Can you measure that both quantitatively as well as qualitatively? Are there quantify values that you can associate with the outcome of this effort, such as reducing the first customer time to resolution or increasing net promoter score? Any of those kinds of qualitative and quantitative measurements that are important to you that you can identify use to measure value will allow you then to determine that this is a worthwhile effort.”
    2. Viable Data – You will need to analyze the availability, accessibility, and quality of your data. It is absolutely key to the implementation of successful conversational support that you think about your data first.
    3. Technical Feasibility – IBM’s CTO asks, “Do you have access to the technologies that are necessary to achieve the results you are producing? Are you able to get access to the AI systems, the conversational services, and even the data processing that is necessary in order for you to have a successful project.”
    4. Speed to Implement – The longer it takes to do something and the longer it takes to generate a result can kill support for a key project like conversation AI support. It not only raises costs but it also drives concerns within the enterprise that it will ultimately be successful and critical to future success. “Finding a way of delivering this project quickly by starting simply and getting those results back so that you can build on the value that you are creating is a key element to success here,” said High.
    5. Alignment with Corporate Initiatives – This comes down to reviewing existing company initiatives to see if AI-powered conversational support is already in alignment. Can you join an existing initiative? If you can it is often the quickest way to get things started.

  • How Artificial Intelligence Will Affect eCommerce in the Future

    How Artificial Intelligence Will Affect eCommerce in the Future

    Over the past decade, there has been an exponential rise in the integration of artificial intelligence in many areas of our daily lives. You encounter it every time Amazon recommends a product for you, or when Google predicts what you are looking for before you’re done typing it in the search box. AI is also likely to be the first thing you talk to when you call your bank to check your account.

    Because of AI’s efficiency and ability to give consumers a one-to-one experience, its use will continue to grow. A Gartner Study predicts that by 2020, as much as 85 percent of all customer interactions will be done without humans.

    If you own an eCommerce store, it’s essential to make yourself aware of these trends and decide on how you will apply them to your business.

    Take a look at some of the ways AI is changing eCommerce:

    Provides More Personalized Customer Experience

    One big advantage of using AI is how much it can personalize a customer’s shopping experience. A good example is The North Face’s collaboration with IBM to assist customers in finding the right jacket.

    [Image of user interface via TheNorthFace.com]

    When customers visit The North Face website, IBM’s Watson pops up to ask where and when the jacket will be used. The AI will also ask follow-up questions based on the answers the customer gives. Once it has enough data, it will scan The North Face’s inventory and recommend several jackets based on its relevance to the client’s answers.

    Boosts Customer Trust and Exposes Fake Reviews

    Online reviews have a big impact on whether a consumer will make a purchase. Unfortunately, not all reviews are made by people who legitimately bought a product. This can affect a site’s algorithms and result in mistrust between buyers and sellers. AI can combat this dilemma. Let’s take Amazon’s example. Its AI puts more weight on verified customer purchases while also taking into account reviews that are marked “helpful” or new.

    Making sure that the reviews consumers read on your site regarding your products are trustworthy is essential to building your reputation and brand loyalty. Customers will also be more willing to return and buy more if they know the reviews they’re reading are genuine.

    Makes Search Easier and More Customer Focused

    As a consumer, you’ve probably experienced seeing something that you want but have no idea what it’s called, who makes it, or even if it’s on sale. AI is now making it easier for you to find the information you need, thanks to its enhanced capabilities to interpret, classify, and understand images.

    Pinterest has already been making use of AI technology with its enhanced visual search tool. Now, if a cool pair of shoes catches your eye while looking at Pinterest, you’ll be shown items that are visually similar to it.

    Image result for pinterest visual search tool gif

    The tool reduces the time a consumer will spend searching for an item. It also boosts conversion rates and retargeting options for businesses that market their items via the platform.

    Improves Inventory Management

    AI is also making a big difference in how companies manage their inventories. People who work in retail understand how difficult it is to keep shelves stocked, track everything accurately, and ensure that inventory is up-to-date.

    Inventory management traditionally utilized a hindsight perspective, something that doesn’t work in today’s dynamic online marketplace. AI technology uses predictive analysis to assess what demands will likely rise and gathers key information about factors that are driving this demand.

    AI’s machine learning feature also means that the longer the company uses it, the more it learns about the business, its customers, and site visitors. It will then get better at accurately predicting what items the company requires in its present inventory and what it will need in the future.

    AI is becoming a driving force in how businesses cater to their clients’ interest and needs. With it, eCommerce platforms can give more personalized services, provide better recommendations on products and improve trust between the customer and the brand. 

    [Featured image via Pixabay]

  • Walmart Joins Forces With Microsoft to Fend Off Amazon

    Walmart Joins Forces With Microsoft to Fend Off Amazon

    In its bid to overtake its largest rival, Walmart announced a strategic partnership with Microsoft on Tuesday. According to the biggest US retailer, the company inked a five-year deal with the tech giant to speed up its digital transformation for a faster shopping experience online. Walmart will be utilizing an array of Microsoft’s cloud solutions as its preferred provider.

    It’s no secret that Walmart and Microsoft are two of Amazon’s closest rivals in retail and cloud computing, respectively. In an interview with The Wall Street Journal, Microsoft CEO Satya Nadella said that the battle against Amazon was “absolutely core” to his company’s teamup with Walmart. He further stated, “How do we get more leverage as two organizations that have depth and breadth and investment to be able to outrun our respective competition?”

    Under the deal, Walmart will use Microsoft’s machine learning and AI technologies to optimize the retailer’s entire supply chain and improve its delivery system. With the Internet of Things platform on Microsoft’s Azure, the retailer can better manage which products should go on the shelves from the ones that go into the refrigeration units. This is one way to reduce costs in operating its physical stores.

    Utilizing technology to assess operations seems to be one of Amazon’s strong suits, one that Walmart appears to lack. Over the past few years, the online retailer has developed its cloud computing business, Amazon Web Services, to become the leading cloud service provider. Microsoft, however, remains second in terms of market share with Azure, but still a worthy alternative for other companies.   

    Although Walmart has developed its own cloud computing operation, it wasn’t as extensive as Amazon’s or Microsoft’s. The retailer only began using Azure recently when it acquired Jet.com, whose operations ran entirely on Microsoft’s cloud platform.  

    Walmart has been more open to the idea of working with tech firms to enhance its systems and improve shopping experience. Last year, it teamed up with Google by adding some of its Walmart.com products on Google Express to allow for voice-ordered purchases, directly competing with Amazon’s Alexa. And for its back-to-school offering, Walmart has also launched its app for faster location of items in-store.   

    Microsoft, on the other hand, has been teaming up with other brick-and-mortar retailers, such as Macy’s and Marks & Spencer, for better retail experience using artificial intelligence.

    Despite the strategic alliance, Walmart won’t be using the tech giant’s services for its planned cashierless stores – another area where Amazon has taken an early lead with its Amazon Go store in Seattle. Microsoft, however, is still keen on developing hardware and software solutions for automated grocery stores, even if it’s not for Walmart.

    [Featured image via Walmart.com]

  • Microsoft Surpasses Google’s Alphabet to Become World’s Third Biggest Company

    Microsoft Surpasses Google’s Alphabet to Become World’s Third Biggest Company

    Microsoft gained a lead over Google parent Alphabet for the first time in three years, becoming the third most valuable company following market close on Tuesday.

    Over the past 12 months, Microsoft’s stock price continued its rally and surged by 40 percent to $98 per share. Valued at $753 billion, it finally surpassed Alphabet’s $739 billion market capitalization. It is still behind online retailer Amazon’s market value of $782 billion and Apple’s $924 billion as the largest publicly traded US companies.

    More investors were willing to bet on Microsoft’s cloud-first strategy under current CEO Satya Nadella. When he assumed the top post in 2014, the tech company focused on cloud computing instead of manufacturing phones. Since then, its stock price has been on an uptrend but continued to trail Google’s after the latter’s restructuring in 2015.

    Microsoft and Google continue to be direct competitors in several technological advancements, such as artificial intelligence and cloud computing. Second only to Amazon Web Services, Microsoft’s public cloud business under the Azure platform and Office 365 subscription remains relatively bigger than Google’s.

    Although the tech giant has always been associated with the Windows operating system, Microsoft announced a reorganization of its legacy Windows and Devices Group back in March. This prompted the company to reallocate resources from Windows to its cloud infrastructure and artificial intelligence businesses.

    It looked like the gamble paid off as third-quarter revenue increased by 16 percent to $26.8 billion compared to prior year, largely driven by the Microsoft Cloud segment. Net income amounted to $7.4 billion, 35 percent higher than 2017’s third fiscal quarter.  

    Back in March, investment bank Morgan Stanley gave a bullish outlook on Microsoft’s growth forecasts, underscoring the increasing preference of several businesses for cloud computing over local network services. According to the analysts, the software company is on track to reach the $1 trillion market cap within a year’s time if it maintains its dominant position on the public cloud market. Furthermore, its stock price was expected to reach $130 from the previous forecast of $110.

  • Twitter Tackles Harassment by Tweaking Its Algorithm, Hides Mean Tweets

    Twitter Tackles Harassment by Tweaking Its Algorithm, Hides Mean Tweets

    In its latest effort to rein in trolling on the micro-blogging platform, Twitter has announced a new approach to hiding mean tweets by tweaking its algorithm. This move is part of the company’s ongoing attempt at addressing rampant harassment and abuse on the platform, according to CEO Jack Dorsey.  

    Trolls are known for sparking heated debates with their abusive replies, so Twitter is now factoring in negative signals to rank tweets. With the upcoming update, replies to conversations and search will appear based on several factors and data. Some of these signals include the number of accounts registered to a user’s IP address as well as users who repeatedly send tweets to people who don’t follow them.

    Other signals help determine whether an account has a confirmed email address or is involved in a coordinated attack. Take for example the involvement of several social media platforms that were used in coordinated campaigns for the 2016 US presidential election.  

    Based on the updated algorithm, tweets that are deemed “bad” will not be deleted but pushed down instead to the “show more replies” section where fewer people can read them. According to Twitter, the content of these replies often do not violate policy but have the tendency to distort the conversation. It is an approach entirely different from Facebook and Google, both relying on artificial intelligence for automatic content removal.

    Early worldwide testing of the new approach revealed that there was a four percent decrease in abuse reports for search while abuse reports in conversations dropped by roughly eight percent. Given the success of the results results, Twitter users will likely see less of those bad tweets in their feed.

    Because the algorithmic signals are impartial to the contents of tweets, the company is spared from making difficult decisions based on the ambiguous tone or intent of certain content.  This should work in Twitter’s favor as the company has been widely criticized for its murky policies and erratic enforcement, struggling to rein in abusive accounts and monitor content on the site.  

    Despite the much-touted benefits of its algorithm, Twitter also acknowledged it has inherent weaknesses that could cause some problems. Del Harvey, Twitter’s vice president of trust and safety, said that the company will consider releasing reports on the enforcement actions undertaken across the platform.  

    Global rollout of the new updates will happen within the week and comes months after Twitter put out a call for measuring and improving public conversations on the platform. There were about a hundred proposals from researchers and academics, and Twitter will announce its next course of action in the coming few weeks.

  • How EMVs Made Credit Card Processing More Secure

    How EMVs Made Credit Card Processing More Secure

    Due to rising incidents of fraud and data theft, credit card issuers and merchants switched to using EMV technology to authenticate transactions. Taking its name from Europay, Mastercard, and Visa, EMV was developed as far back as the mid-1990s, but the technology was only widely adopted in the US with the advent of the liability shift in October 2015. This shift meant that the least EMV-compliant party in a payment process would be the one held liable for fraudulent transactions. 

    The use of cards with magnetic strips slowly gave way to the use of the newer more secure EMV cards.

    EMV uses small chips or microprocessor to store information, perform processing, and generate dynamic data for every transaction. This makes it nearly impossible to replicate transaction code and create counterfeit cards. Meanwhile, mag stripe cards store unchanging data on sensitive cardholder information that are easy to duplicate.

    Because of its security features, EMV-enabled cards significantly reduced fraud-related incidents. According to Visa, merchants accepting ‘chip cards’ reported a drop in counterfeit fraud losses by 58 percent in December 2016 when compared to December of the previous year. Similarly, Mastercard fraud data also saw a 54 percent decline in counterfeit fraud from April 2015 to April 2016.

    The migration to chip technology may be slow but looks encouraging. During the recent Secure Technology Alliance Payments Summit, keynote speaker Stephanie Ericksen of Visa revealed that 96 percent of the company’s payment volume at point-of-sale (POS) use EMV cards. In addition, 59 percent of POS terminals in the US accept chip cards—an impressive growth since the liability shift.

    Fraud reduction is the biggest benefit for merchants upon shifting to EMV technology. Compliance with the standard also limits the financial liability of business owners if they process a fraudulent transaction. Customers also seem to prefer using EMV-enabled terminals that offer more security. In fact, a 2016 survey by NerdWallet revealed that 43 percent of respondents prefer using chip cards for in-store purchases.

    Chip technology helped combat fraud in face-to-face settings, like grocery stores checkout lanes, that use counterfeit cards. But it did not completely eliminate data theft and other types of fraud. Fraudsters have shifted their focus to card-not-present (CNP) fraud on transactions done via phone or online. The threat becomes even more significant as the eCommerce in the US grows at an exponential pace.    

    According to Brett McDowell of the FIDO Alliance, 50 percent of reported fraudulent transactions are attributed to CNP fraud. The majority of data breaches in 2016 were due to weak or stolen passwords. This indicates the need for stronger authentication and identity verification processes to better secure the overall payments system, including the EMV ecosystem.  

    Despite the achievements and progress in EMV migration of the payments industry, business leaders acknowledge that there is more work to be done. They are also upbeat on the next step in the chip card transition—contactless payments.

    Dual-interface EMV cards can also have contactless card reading or near field communication (NFC) features. Consumers only have to tap their card on the terminal scanner for faster checkout. However, there are several hurdles to this technology, such as lack of acceptance, confusion among users, and few companies issuing NFC-capable cards.

    There is more to the future of payments, including embedding biometric readers on cards to verify a cardholder’s identity. Industry leaders are also looking at cryptocurrencies, artificial intelligence, and blockchain as other forms of payment technologies. 

    [Featured image via creditcards.com YouTube]

  • China is Home to the World’s Most Valuable AI Startup, SenseTime is Valued at $4.5 Billion

    China is Home to the World’s Most Valuable AI Startup, SenseTime is Valued at $4.5 Billion

    The artificial intelligence community received a major boost recently with SenseTime’s history-making funding round.

    The Chinese startup recently announced that it has raised $600 million in funding, a feat that has made SenseTime the most valuable AI startup in the world. A Bloomberg report also pegged the company to have a $4.5 billion valuation, easily dwarfing that of its rivals.

    The Series C funding round is said to have been led by the Alibaba Group. Singapore’s Temasek and Chinese company Suning.com reportedly also invested heavily in the company.

    Joe Tsai, executive vice chairman of the Alibaba Group, said in a press release that they are impressed by SenseTime’s pioneering AI work and R&D capabilities in visual computing and deep learning.

    “Our strategic partnership with SenseTime will spark more innovation and create value for society,” Tsai added.

    The massive investment appears to be further proof of how committed some companies and governments are in AI research and development, even if some academics and technology leaders have raised warnings about how the fast-growing technology could be susceptible to abuse.

    The warnings didn’t seem to deter companies like Facebook and Google from investing more resources into AI. Apple even went so far as to poach Google’s AI head in a bid to improve its own chances.

    SenseTime is known for developing facial-recognition technology that has been used in various industries, like security and financial technology. SenseTime is also the power by China’s impressive surveillance system. The company’s software assists in processing data accumulated by the country’s 170 million strong CCTV cameras. It’s also integrated into 100 million and more mobile devices.

    SenseTime tech is also utilized in customer analysis systems and checkout-less lanes. There are even reports that the company is developing a program that can analyze data from thousands of live camera feeds.

    The funding the company received will reportedly be used to bolster its AI platform and further its business ventures. The startup has revealed that it has already secured partnerships with about 400 companies, including Qualcomm on smart technology and Honda on an autonomous driving system.

    The news that a Chinese-based company has been recognized as the highest valued AI company in the world might serve as a wake-up call for American AI startups. After all, China boldly announced last July that it aims to be the world leader in artificial intelligence by 2030 and now it seems the country is well on its way to achieve just that.

  • Microsoft is Now Offering AI Certification Courses, Job-Ready Skills and Real-World Experience Included

    Microsoft is Now Offering AI Certification Courses, Job-Ready Skills and Real-World Experience Included

    Professionals wanting to polish their skills or add machine learning to their resume can now do so via the Microsoft Professional Program. Recognizing the need for companies to train their employees in the latest AI trends, the software giant is now offering a series of courses to the public that comes with “a digitally shareable, résumé-worthy credential.”

    The new program is called the Microsoft Professional Program for AI where, as promised by Microsoft, participants will get “job-ready skills and real-world experience.” The seminar is targeted to engineers who want to improve their data science and artificial intelligence skills.

    The online courses will be under the guidance of expert instructors as well as hands-on labs. The AI program consists of nine skills where each skill is estimated to take between eight and 16 hours for participants to complete. There is also a final project that each student must complete to pass the course.

    The program emphasizes hands-on learning where students are taught “how to work with data to build and train machine learning models that power interactive bots.” In addition, the series covers a variety of topics that are relevant in today’s workplace such as ethics in AI, using Python as the programming language for manipulating data and different types of machine learning models and how to create them.

    However, participants do not have to complete each segment in one go. Students can opt to complete each module within three months while the final project has a six-week deadline. Each segment or course is only offered four times in one year.

    Enrollees earn credit for finishing a course or segment. Should they require it, they can get Verified Certificates from edX.org.

    AI skills are becoming increasingly useful in today’s workplace. As explained by Microsoft  Research AI assistant director:

    “AI is increasingly important in how our products and services are designed and delivered and that is true for our customers as well. Fundamentally, we are all interested in developing talent that is able to build, understand and design systems that have AI as a central component.”

    For employees, getting AI certified is time well spent. With salaries for AI professionals going through the roof it should be considered a worthwhile investment in their future earning potential.

    [Featured image via Microsoft]

  • 5 Ways Artificial Intelligence Benefits eCommerce Businesses

    5 Ways Artificial Intelligence Benefits eCommerce Businesses

    Over the past few years, more people have turned to online shopping instead of brick-and-mortar stores because of convenience. In 2017, eCommerce businesses accounted for 9.1 percent of US retail sales during the fourth quarter, higher than the 8.2 percent share of the previous year.

    Amidst online sales growth and positive prospects of eCommerce, nearly half of the industry’s revenue comes from Amazon. This prompted other online retailers to tap into artificial intelligence, or AI, in gaining an edge over the eCommerce giant through personalized shopping experience. In utilizing AI for their businesses, retailers gain critical analytical data on consumers, allowing them to improve customer experience.

    From effective marketing strategies to efficient sales process, here’s a look at how using AI will benefit online retailers.

    1. Easier Product Searching

    Most sales online begin with a search, and if the results displayed are not relevant, this can prompt customers to look somewhere else. Keyword-based search is the usual method for websites to return a list of items based on entered words and description. However, this might not be the most accurate way to generate relevant results.

    To address this, a visual search engine powered by AI allows customers to send an image instead and discover similar products on your website. High-end retailer Neiman Marcus first announced said feature on its mobile app in 2015, recognizing the customer’s need to find related results based on photos.  

    Related image

    Image via Neiman Marcus website

    2. Better Customer Understanding

    Feedback, whether posted on social media or review sites, allows businesses to quickly gain valuable insights about their products. Although 40 percent of sales and marketing leaders acknowledge that word of mouth is crucial to a brand’s success on social media, less than half of these companies use this information for their customer analytics.

    By using AI and natural language processing (NLP), retailers can sift through every online feedback, be it positive, negative, or neutral, to learn more about customer expectations and respond accordingly.   

    3. Personalized Marketing Strategy

    AI-powered recommendation engines filter relevant information from numerous data about a buyer’s interest, preference, and behaviors on the site. Based on timely insights gathered, an online merchant suggests items uniquely patterned after your recent activity and past purchases on the site.

    This shopping experience mimicking the personal feel of brick-and-mortar stores translates to customer satisfaction and spending. In fact, retailers with personalized strategies have observed sales growth of 6-10 percent, two to three times faster than others that don’t, according to Boston Consulting Group study.

    4. Immediate Customer Service

    Chatbots and virtual shopping assistants, powered by AI, provide direct and quick customer engagement. For eCommerce businesses, chatbots can be used to automate customer service messages, send order-related information, resolve issues, and interact with clients in real-time. By using NLP to understand meaning and context of your customers’ messages, these virtual assistants can take on your brand’s personality and voice in creating human-like interaction.

    Image result for chatbot customer service

    Image via livingactor.com

    In a survey done by Oracle on 800 sales and marketing leaders, about 80% want to use chatbots in their businesses by 2020 as a way to automate some processes and improve customer experience.

    5. Systematic Sales Process

    Prior to social media, sales strategies include cold-calling and ad placements in the hopes of targeting the right market. These days, AI is used to gather patterns and numbers to help businesses convert queries to actual sales through data-driven feedback.

    Nowadays, people turn to social media platforms like Facebook and Instagram for shopping inspiration—a trove of data for AI companies like Yotpo to utilize in developing digital marketing tools. With proper use of user-generated content, customers discover products in a subtler, more natural way.  

    “Artificial intelligence programs can scan through millions of events to find patterns and correlations that we just would not notice on a day to day basis. So it might notice a correlation between sending a specific pitch deck to prospective clients before calling them results in better conversions,” Uzi Shmilovici, chief executive officer of Base CRM, explained.

    Digitally native retailers have recognized the importance of creating personalized shopping experience through the use of AI as a way to give them an edge over others offering the same products. By leveraging AI-driven innovations, smaller eCommerce businesses, as well as bigger retailers like Amazon, get the leg up in attracting and retaining their customers.