GenAI promises to fundamentally change IT operations and help organizations increasingly leverage their data estate. AI can theoretically make IT more efficient, effective, scalable, correct and possibly cheaper even as our IT environments get more complex, distributed and dynamic. Most significantly, AI should be able to address challenges and solve IT problems that legacy solutions simply can’t figure out! Yet today’s GenAI is also nearing the peak of it’s broader business hype cycle. Many are starting to realize that the truly effective application of AI models (like LLM's) needs to be properly scoped, fenced and integrated.

Come to our practical review and discussion about the state of the art in AI for IT. We’ll examine how GenAI is already being applied productively within IT solutions for Storage and Data Protection. We’ll dive deeper into AI in IT storage and data protection operations:

- Machine Learning (ML) v GenAI vs agentic AI vs AGI - where is there real value?
- Good vs. Bad practical uses of GenAI for IT and their organizations - more than a chatbot, less than a human?
- How to leverage GenAI specifically within and for Storage and Data Protection?
- What is RAG and how might we best take advantage of it?
- What to watch out for when deploying AI in data-centric operations - does AI know about IP, Privacy, Security and all the governance we care about?
- Is agentic AI going to someday replace IT?