AI in the real world: Tech leaders consider practical issues.

Three years ago, Jeff Bezos announced that drones are eventually going to deliver Amazon orders. In the past year, he brought out Amazon's Alexa artificial intelligence service, which understands speech well enough that you can say, "Alexa, I really need a waffle cone maker," and she'll put one in your Amazon online shopping cart, even though nobody needs a waffle cone maker. Both of these technologies--drones and cloud AI--are exciting today, yet still wobbly works in progress. But in coming years, Amazon or some other company is going to put them together. And that, finally, will evolve into a technology that could become as significant to humans as domesticated dogs.

"…radically optimized processes and marketplaces that leverage Watson, IBM Cloud, IBM Systems, Blockchain, deep domain expertise and ecosystems of partners and developers." Three years ago, Jeff Bezos announced that drones are eventually going to deliver Amazon orders. In the past year, he brought out Amazon's Alexa artificial intelligence service, which understands speech well enough that you can say, "Alexa, I really need a waffle cone maker," and she'll put one in your Amazon online shopping cart, even though nobody needs a waffle cone maker. Hey guyz, i wanted to know about ensembling, and are we allowed to that on this training set, because the title mentions only random forest as a predictive algorithm. Kawasaki is establishing artificial intelligence for motorbike that will enable future bikes to chat with their riders, and even enable them to control the cycles using their voice.

With the advent of artificial intelligence and machine learning, companies are going to great lengths to understand human behavior. Between virtual assistants and platforms that predict our needs, humans barely have to lift a finger to get what they need done. One person who has seriously contributed to building out products that streamline our life is Eric Colson. At Innovate! and Celebrate 2016 in September, you'll have the chance to hear him speak about everything from machine learning to shopping. Eric Colston is currently the chief algorithm officer at Stitch Fix, a women's clothing retail website that prides itself on providing personalized shopping experiences to everyone that click on their link.

Shoppers at San Francisco area Lowe's stores are about to encounter a new kind of customer service worker: The LoweBot. It might: Lowe's Innovation Labs first showed off an autonomous shopping assistant at CES 2015. Back then it was called OSHBot (for Orchard Supply Hardware), and it was still a work in progress. Not anymore -- the LoweBot is scheduled to make its public debut this fall at 11 Bay Area hardware stores. The LoweBot is designed to cover the most basic retail customer service task: helping shoppers find the item they're looking for.

Everybody wants to look beautiful. We all like to be well dressed and keep up with fashion trends, but most times this is not possible. We are constrained by time, money and the skill to put together trendy outfits. The problem gets compounded when we go shopping online. Every store has 1000's of items in each category.

Christophe Dubach received his Ph.D in Informatics from the University of Edinburgh in 2009 and holds a M.Sc. He is currently an RAEng/EPSRC Research Fellow in the Institute for Computing Systems Architecture at the University of Edinburgh.

Olivier Curé is an associate professor of computer science at the Université Paris-Est in France and is researching at the CNRS LIGM lab. He holds a Ph.D. in Artificial Intelligence from the Université de Paris V, France and has published three book chapters, eight journal articles and more than 50 papers in international, peer-reviewed conferences in the fields of databases, semantic web and ontologies. Professor Curé has organized workshops including Ambient Data Integration (ADI) at On the Move (OTM) conference in 2008, 2009 and 2010. He has received three cooperative research grants to work with the Database and Information System research team of Pr. In 2013, Professor Curé received a grant for a France-Stanford collaboration to conduct research with Stanford's BioMedical Informatics Research (BMIR) laboratory.

Is Anthony, CIO at a leading grocery retailer, well prepared to manage the changes in his workplace? The Age of the Wearable Anthony is looking closely at the potential for wearables to monitor the health of employees and reduce not just sickness levels, but health insurance costs. He's also considering how customers will use wearables to enhance their shopping experience. Employers will find themselves with a goldmine of information about employee performance and customer behavior, which can be used to personalize services to customer context and requirements in real time. Alongside HR, IT leaders will play a critical role in shaping how their business approaches the arrival of wearables in the workplace.

Michael Covert, CEO, Analytics Inside LLC, has significant experience in a variety of business and technical roles. Michael is a mathematician and computer scientist and is involved in machine learning, deep learning, predictive analytics, graph theory, and big data. He earned a bachelor's of science degree in mathematics with honors and distinction from The Ohio State University. He also attended it as a PhD student, specializing in machine learning and high-performance computing. Michael is a Cloudera Hadoop Certified Developer.