IBM Innovation Preview: Advances in AI and Lifecycle Automation
Scaling AI engineering and ModelOps to realize the full potential of AI investments
featuring IBM Research
AI has been playing a vital role in accelerated discovery, improved prediction, resource optimization, and risk mitigation With increased availability of automated AI tools, organizations can expand the talent pool for AI development and scale AI implementations much faster than ever before. In particular, AI engineering is a discipline that brings together DevOps, ModelOps and DataOps practices. This confluence of operational disciplines can help transform how a business can operate, scale and innovate in this volatile business environment.
At IBM, we invent things that matter to the world. We are pioneering the most promising and disruptive technologies in AI to help build, train, deploy and manage AI models faster and more securely. In this special 60 minute live session, we will share some of the exciting innovations in AI and explore how to unify the tools, processes and talent to drive AI-powered digital transformation. You can engage in live Q&A during this live session.
Key Takeaways:
- Get up to speed on the latest innovations in AI
- Explore how IBM Research is working on scaling and automating AI engineering with new AI models & data types
- Discover opportunities for accelerating and enriching training with SnapML and Federated Learning
- Improve ways of automating and validating ModelOps models through Pipelines and FactSheets
- Learn how you can take advantage of research and innovation pipelines for IBM Watson Studio on Cloud Pak for Data
Register now and get ready to learn about the latest AI research and insights that you can use to advance your AI engineering practice.
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