Doug Zeman, Personalis; Darryl Smith, Dell EMC; Matt Hausmann, Dell EMC
As organizations fight for a competitive edge in an increasingly digital global economy, Artificial Intelligence (AI) is garnering a lot of attention. The concept isn’t new, however only in the last few years has AI’s business potential driven it to the top of technology decision makers to-do lists. According to Gartner, AI promises to be the most disruptive class of technologies during the next 10 years driven by increases in computational power, advances in storage technology, availability of new data, and ubiquity of deep learning toolkits.
Not surprisingly, AI initiatives are springing up in almost every industry and Gartner predicts that AI augmentation will generate $3.9 Trillion in business value by 2022 alone. But, turning the promise of AI into value isn’t as easy as flipping a switch. Organizations are faced with a multitude of complex choices related to data, skill-sets, software stacks, analytic toolkits and infrastructure components; each with significant implications on the time to value associated with these initiatives.
Join us for this webinar to learn from two organizations who will share details of their journey to AI and the underlying technologies they leveraged to get there.
- Personalis employs AI insights to accelerate the delivery of personalized life-saving cancer therapies
- Dell Technologies evolved their data lake into a deep learning AI platform to drive better business outcomes
- Highlight the flexible, high-performance scale-out infrastructure powering the AI revolution