Accelerating AI Model Velocity [SS33155]
Data scientists are highly skilled individuals charged with, and trained in, the art and science of uncovering patterns from massive amounts of data. They should be spending their time building strategic models that offer deep insights into today’s biggest challenges instead of selecting and building infrastructure to support their needs. This session looks at the best “MLOps” tools and processes for accelerating AI modeling velocity so data scientists can maximize personal and organizational efficiency.
Head of Business Development
A technology executive and leader with over 18+ years of cross-functional experience in early and growth stage technology companies, John is currently the head of business development and strategic alliances at VAST Data, focused on enabling AI, big data analytics, and cloud use-cases for large global enterprises. Prior to joining VAST, John led product management and product strategy teams across a wide range of technology verticals including cloud infrastructure, network and application performance management, custom hardware (silicon), big data / analytics, storage and hyper-converged infrastructure. Starting his career as a database engineer provided an onramp into the world of unlocking meaningful insight from large datasets, a passion he still possesses today. John holds a B.S. in Computer Science from the University of Texas.
Chief Product Officer, AI
With over 20 years’ experience in engineering in large companies and tech startups, Ian has expertise in software, engineering, UI/UX, systems architecture, product development, machine learning/artificial intelligence, and leading successful teams. Ian has a healthy obsession with end-user experience, high performance computing, and massive parallel systems. He joined Microsoft in 2004 as a senior software design engineer lead and received five promotions in 10 years. While there, Ian developed the architecture and implementation of Bing Ads, created the world’s first real-time bidding exchange, successfully launched the Windows 8 Ads-in-Apps, and launched the largest cloud deployment.