AI and Machine Learning startups often face a fair amount of engineering and data challenges, which tends to make it expensive to build the product. It is difficult to build such a company as a lean startup. A natural question that comes to mind is how to get such startups off the ground? This question along with other similar questions will be addressed by speaker Sramana Mitra during this event. Come prepared with your questions and REGISTER HERE.
Steve takes us deep into the field of high performance computing and how AI is impacting it.
Sramana Mitra: Let’s start by having you introduce yourself a little bit as well as Cray’s activities in the domain of AI currently.
Steve Scott: I’m the Chief Technology Officer at Cray. I’ve been with Cray most of my career. I actually was a summer intern here for two years during grad school and have been here ever since except for a three-year walkabout I took a few years back. I went and spent two years as the CTO of the Tesla GPU computing Group at Nvidia and spent a year in the platforms group at Google and then came back in 2014. >>>
John provides a great synthesis of how the AI movement is evolving and where the long-term business building and wealth creation opportunities really are. Also, a great discussion on the jobs of the future.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Dell EMC and its work in the realm of artificial intelligence.
John Roese: I’m the Global Chief Technology Officer for Dell EMC. We’re the largest infrastructure technology provider in the world now. It’s a collection of companies from the coming together of Dell and EMC about two years ago. The >>>
This interview explores the machine augmented human capabilities of an AI-driven future that we’re marching towards.
Sramana Mitra: I want to double-click down on some of the work that you’ve done in human-machine interaction and where that is going. Where are the new jobs going to be? What would be the types of new jobs? I suggest we start with maybe one or two use cases and double-click on those.
Paul Daugherty: It’s good to be great back on. Last time, we had a fantastic discussion. I’m sure this will be the same. I just wrote a book called Human + Machine: Reimagining Work in the Age of AI. At the heart of it, the plus side illustrates the view >>>
Ankit Jain is Founding Partner at Gradient Ventures, Google’s AI venture fund.
Have you started thinking about explainable AI yet? Well, you should. Read on for more.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as FollowAnalytics.
Samir Addamine: I have an engineering degree. I studied in France where I was born and raised. I started my first company in 2005, which was a mobile boutique in Paris. I was trying to develop new services on mobile and games on mobile. In 2008, this company started to really take off, thanks to the app stores and the fact that brands were starting to get interested in having a presence in the app stores. >>>
By Guest Author Paul Daugherty and H James Wilson
Human+Machine: Reimagining Work in the Age of AI is a new book by Paul R. Daugherty and H. James Wilson that discusses how AI gives businesses the power to reimagine and transform their processes. Here is an excerpt from the book, reprinted by permission of Harvard Business Review Press. >>>
Accenture is deeply entrenched in innovation as technology moves at a breakneck pace, and their clients all need to stay apace. Read how Paul and his organization structures continuous innovation.
Sramana Mitra: Tell us a bit about how you are thinking about corporate innovation at Accenture from a broad framework point of view.
Paul Daugherty: The way my job and my role is shaped is to look ahead a couple of years and make sure that we’re always moving Accenture’s business in the direction technology is going so we are better positioned and even more relevant in the future than we are today. Accenture is a big company. We have about 440,000 people and about $35 billion in revenue. It’s a big >>>