AI Engineering is a robust discipline that enables people, processes, and technology to drive speed, reduce costs, and mitigate risk. According to recent research performed by Gartner “By 2025, the 10% of enterprises who establish AI engineering best practices will generate at least three times more value with their AI efforts than the 90% of enterprises who do not.” Time is of the essence and now is the time to get started. Join CognitiveScale to learn more about this topic from experts in the field of AI.
Key Takeaways:
- Establish AI Engineering practices to drive speed, efficiency and business value
- Enable seamless, end-to-end orchestration with AI Engineering in the ecosystem
- Mitigate risk, drive decision intelligence and scale results
Speakers:
Matt Sanchez, Founder and CTO at CognitiveScale
Dr. Mark Ritzmann, Professor and AI Engineer at Columbia University and CognitiveScale