Ram Venkatesh

CTO @ Ex-CTO Cloudera. AI Agents FTW. Data Nerd. GemStone.SQLServer.BigData. Views my own

[Ram Venkatesh @ramvzz]

At Sema4 we have found the agent UX and the agent supervisor UX to both be valuable for humans and agents to collaborate. Evaluating the work for alignment with objectives, or, its corollary, divergence, is greenfield from a UX standpoint but its importance is clear from our first set of production deployments

[Ram Venkatesh @ramvzz]

@gokulr The crux of your argument is about the change implied by the agentic model, MCP just makes it 10x easier. If the agentic model gains traction, there is a new layer between the business user and the apps regardless of what the app vendors want. Cue agent-washing apps now.

[Ram Venkatesh @ramvzz]

@langchain Thank you @langchain Appreciate the shout-out and looking forward to the session tomorrow!

[Ram Venkatesh @ramvzz]

@JamesMaguire Thank you @JamesMaguire this was fun!

[Ram Venkatesh @ramvzz]

A8. Baby steps. Don’t start with the ‘family jewels’ as your first deployment. Your people need to build up an understanding of applicability, alignment and steering LLMs which will take time. #eWEEKchat.

[Ram Venkatesh @ramvzz]

A6. Context matters. A lot. Use patterns like Retrieval Augmented Generation to safely inject enterprise context into your LLMs. #eWEEKchat.

[Ram Venkatesh @ramvzz]

A7. Think about a future government audit of your AI-driven decisions; would they hold up for privacy and fairness? #eWEEKchat

[Ram Venkatesh @ramvzz]

@PhilipAWCooper @JamesMaguire ^This. GenAI is a great example where controlling your data can create value that you were not aware of six months ago

[Ram Venkatesh @ramvzz]

A4. Work on the use cases outside in, build up competency, think long term. Having a robust AI strategy for the long term is going to be more valuable than any short term hype cycle considerations. #eWEEKchat

[Ram Venkatesh @ramvzz]

A3. All of the above. Data & analytics have two decades of what good governance looks like, the entire generative AI stack needs the same treatment, from collecting and managing the data to audit and traceability of outcomes. #eWEEKchat

[Ram Venkatesh @ramvzz]

A2: Many of our existing customers with mature AI/ML programs are accelerating their efforts to include genAI. Their investments in AI are validated and now suddenly “mainstream” #eWEEKchat

[Ram Venkatesh @ramvzz]

A1. It has already disrupted as mindshare, now whether it lives up to its hype is up to us. No pressure. #eWeekchat

[Ram Venkatesh @ramvzz]

Hi everyone, Ram Venkatesh CTO @ Cloudera here. On with @JamesMaguire on Generative AI with #eWEEKchat

[Ram Venkatesh @ramvzz]

If you are not multicloud, you are all-in, choose wisely #eweekchat https://t.co/zl3Am6JCRs

[Ram Venkatesh @ramvzz]

A8: Portability will get easier. Data egress costs will come down (come on lets be bold, we have the Easy Button). Multicloud will get simpler as a consequence. #eweekchat https://t.co/bHt0DDHGEi

[Ram Venkatesh @ramvzz]

Autonomy is like entropy, there is only one direction in reality, central teams need to accept this and plan for it. More governance, less mandates #eweekchat https://t.co/lC05U7bEJL

[Ram Venkatesh @ramvzz]

A5 Establish the right metrics so you can tell if multicloud is the right option for your company, and if your implementation is actually yielding the results you are after. #eweekchat https://t.co/Ndx9rKaHn7

[Ram Venkatesh @ramvzz]

A5 @bernardgolden great point. Don't use least common denominator thinking to stay "cloud neutral", its about "cloud being "cloud leveraged" to help your business get the best outcome #eweekchat https://t.co/NdkE9ERLMp

[Ram Venkatesh @ramvzz]

If your use cases warrant multicloud, embrace it. Optimize for the business outcome rather than platform feature / function type tradeoffs. #eweekchat https://t.co/P0eZaxYWnY

[Ram Venkatesh @ramvzz]

@JamesMaguire Open source has its challenges too, but in this context, its powerful, especially compared to the alternative #eweekchat https://t.co/L0Sn1eaRze