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Your Guide to AI and Machine Learning at re:Invent 2018 Amazon Web Services

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As you plan your agenda, artificial intelligence (AI) is undoubtedly a hot topic on your list. This year we have a lot of great technical content on AI, machine learning (ML), and deep learning (DL)--with over 200 breakout sessions, hands-on workshops, deep-dive chalk talks, and more. You'll hear success stories about machine learning on AWS firsthand from customers and partners such as Sony, Moody's, NFL, Intuit, 21st Century Fox, Toyota, and more. This year's re:Invent also includes the AI Summit, where thought leaders in the academic community will share their perspectives on the future of AI. Here are a few highlights of this year's lineup from the re:Invent session catalog to help you plan your event agenda.


A glimpse into the future of AI enterprise applications

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Microsoft's 2019 data and AI tech immersion workshop demonstrated the vendor's strategy to democratize AI by providing a small group of about 30 journalists, industry analysts and other tech industry experts with hands-on experience in programming AI bots using the cognitive services in the Microsoft Azure public cloud platform. It provided meaningful glimpses of the future of AI in enterprise applications, from prebuilt AI models in Azure and machine teaching efforts of today to a future quantum coprocessor that will one day function as Azure's sidekick in a hybrid computing model. The immersion approach of the workshop, which I attended, mimics the real-world experience of AI users who aren't data scientists. Most attendees did not own or have access to the massive data sets needed to complete the exercises on a variety of real-life AI use cases. The software giant overcame that obstacle by providing an open remote desktop connection app on our individual workstations, giving us access to the immersion environment and preloaded data sets in Azure.


Artificial Intelligence and Machine Learning in Industry 4.0

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Science is about precise principles, and technology is the goal of success. Business acumen should contribute to technology implementation. Above all, innovative creations should have effective applications. In recent years, there has been a lot of buzz around Artificial Intelligence (AI) and the Internet of Things (IoT) & AI SERVICES. To read about: Top 10 best companies that use Artificial Intelligence (AI) to augment manufacturing processes in the era of Industry 4.0 IoT mainly deals with big data, predictive analytics, and cloud computing.


Why Every Business Should Care About Machine Learning

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Recent advancements in machine learning are reaching a level of sophistication that are exceeding the expectations of industry analysts and executives alike. We're familiar with Google DeepMind's AlphaGo that bested the greatest masters of the ancient Chinese game "Go" 10 years earlier than expected. More recently, a new exhibition at the New York Gallery Metro Pictures depicts machine-made images to people using algorithms. Retailers are redefining customer experiences with real-time personalization and convenience. Even most stock trades are governed by automated analysis of market outcomes and determination of future trends faster and more accurately than humans alone.


SAPVoice: Why Every Business Should Care About Machine Learning

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Recent advancements in machine learning are reaching a level of sophistication that's exceeding the expectations of industry analysts and executives alike. We're familiar with Google DeepMind's AlphaGo that bested the greatest masters of the ancient Chinese game "Go" 10 years earlier than expected. More recently a new exhibition at the New York Gallery Metro Pictures depicts machine made images to people using algorithms. Retailers are redefining customer experiences with real-time personalization and convenience. Even most stock trades are governed by automated analysis of market outcomes and determination of future trends faster and more accurately than humans alone.