Eric joined Talend as Chief Information Officer in 2018. Prior to Talend, he was the CIO of DocuSign, where he built the company's IT vision, infrastructure design, and led its global organization. Er… (show all) Eric joined Talend as Chief Information Officer in 2018. Prior to Talend, he was the CIO of DocuSign, where he built the company's IT vision, infrastructure design, and led its global organization. Eric spent more than a decade at Informatica in increasingly senior IT roles, most recently as Senior Vice President and CIO.

In the future, personalized AI assistants will use knowledge of our behaviors to inform us of goings-on and do chores, and as we grow older, they'll provide companionship and assistance when caregivers aren't around. These assistants will not only chart our calendars and supply answers to questions, but will help administer medical treatments, assist us in making difficult decisions, and connect us with the people we care deeply about. That's the vision the Computing Community Consortium (CCC), an organization representing over 220 North American academic departments, industrial research labs, and professional societies, articulated in a draft of its 20-year roadmap for AI research in the U.S., which was published this month. Its organizers -- who include University of Southern California director of knowledge technologies Yolanda Gil and Dr. Fei-Fei Li, a Stanford professor and formerly Google's chief AI scientist -- picture personal assistants that will fundamentally transform human lives around the world for the better. "[AI] will enable an elderly population to live longer independently, AI health coaches will provide advice for lifestyle choices, [and] customized AI tutors will broaden education opportunities," according to the report.

Digital marketing is experiencing a transformative shift to automated, personalized marketing and prescriptive, machine learning recommendation engines. Wire Stone is a leading provider of integrating marketing solutions and experiences, maintaining client relationships that span many years and, in some cases, decades. Wire Stone is uniquely qualified to assist marketing leaders and decision makers at every level of the various industries we work with: technology, telecommunications, automotive, aeronautics, sports retail, financial, and others. We're a unique mix of strategists, creatives, programmers, data analysts, engineers and architects--obsessed with the art and science of crafting integrated approaches and optimizing meaningful connections that few agencies can match. Wire Stone's Data Science team provides intelligence products and services to some of the world's largest and most innovative companies.

Voicesense makes an intriguing promise to its clients: give us someone's voice, and we'll tell you what they will do. The Israeli company uses real-time voice analysis during calls to evaluate whether someone is likely to default on a bank loan, buy a more expensive product, or be the best candidate for a job. It's one of a crop of companies looking for the personal insights contained in our speech. In recent years, researchers and startups have taken note of the rich trove of information that can be mined from voice, especially as the popularity of home assistants like Amazon's Alexa make consumers increasingly comfortable talking to their devices. The voice technology market is growing and is expected to reach $15.5 billion by 2029, according to a report by business analytics firm IdTechEx.

Voicesense makes an intriguing promise to its clients: give us someone's voice, and we'll tell you what they will do. The Israeli company uses real-time voice analysis during calls to evaluate whether someone is likely to default on a bank loan, buy a more expensive product, or be the best candidate for a job. It's one of a crop of companies looking for the personal insights contained in our speech. In recent years, researchers and startups have taken note of the rich trove of information that can be mined from voice, especially as the popularity of home assistants like Amazon's Alexa make consumers increasingly comfortable talking to their devices. The voice technology market is growing and is expected to reach $15.5 billion by 2029, according to a report by business analytics firm IdTechEx.

AI is entering our everyday lives. We can ask a computer to order a pair of Converse sneakers, book a hotel, or schedule a romantic dinner with our spouse. Shouldn't we also be able to pay for stuff with our voices? Industries from eCommerce to banking harness voice technologies with every new piece of software released. Voice-enabled virtual assistants gain more recognition each year, and the financial sector is among the top beneficiaries of this innovation.

For generations healthcare has been episodic – someone gets sick or breaks a bone, they see a doctor, and then they might not see another one until the next time they get sick or injured. Now, as emerging technologies such as artificial intelligence open up new possibilities for the healthcare industry in the Fourth Industrial Revolution, policymakers and practitioners are developing new ways to deliver continuous healthcare for better outcomes. Consumers already expect access to healthcare providers to be as smart and easy as online banking, retrieving boarding passes and making restaurant reservations, according to Kaiser Permanente CEO Bernard J Tyson. Nearly three-quarters of Americans with health insurance (72%), for example, say it's important that their health insurance provider uses modern communication tools, such as instant message and two-way video. Innovative healthcare organizations such as Kaiser Permanente are listening.

Artificial Intelligence or, in short, AI, is slowly becoming a part of our everyday lives. While we don't yet have the perfect AI system, that can think and make decisions for itself, there are advanced artificial neural networks that can collaborate on solving difficult situations. Furthermore, modern AI systems are capable of observing and learning based on the information provided. For instance, the voice assistants most of us love to use (Siri, Alexa, Google) use AI algorithms that process the information you provide (searches, discussions, browsing history) and learn about your specific behavior. This way, they advance in the relationship with us and create a more human-like experience.

Modeling item complementariness and user preferences from purchase data is essential for learning good representations of products and customers, which empowers the modern personalized recommender system for Walmart's e-commerce platform. The intrinsic complementary relationship among products captures the buy-also-buy patterns and provides great sources for recommendations. Product complementary patterns, though often reflected by population purchase behaviors, are not separable from customer-specific bias in purchase data. We propose a unified model with Bayesian network structure that takes account of both factors. In the meantime, we merge the contextual knowledge of both products and customers into their representations. We also use the dual product embeddings to capture the intrinsic properties of complementariness, such as asymmetry. The separating hyperplane theory sheds light on the geometric interpretation of using the additional embedding. We conduct extensive evaluations on our model before final production, and propose a novel ranking criterion based on product and customer embeddings. Our method compares favorably to existing approaches in various offline and online testings, and case studies demonstrate the advantage and usefulness of the dual product embeddings as well as the user embeddings.

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