Sayali Patil

AI Product Manager | Customer Experience @Cisco(CXC) | TechSpeaker | Innovator 💻 | President @Toastmasters | Mentor @GHC

[Sayali Patil @patilksayali]

https://t.co/BcWwJBBeUv

[Sayali Patil @patilksayali]

@kidtsang @Transform_Sec @VentureBeat Exactly right, Keith. The governance failure isn't just operational, it's a leadership visibility problem. When agent actions aren't classified as chaos events, they never surface in the risk reporting that executives actually see. The blast radius stays invisible until it isn't.

[Sayali Patil @patilksayali]

@kannagoldsun @VentureBeat Thank you for sharing this, Kannan. The chaos engineering and agentic AI communities have been operating as separate disciplines for too long. I appreciate you helping bridge that conversation.

[Sayali Patil @patilksayali]

@Corix_JC Thank you for sharing this, @Corix_JC. Appreciate it!

Every autonomous agent action is effectively a chaos event.

The real risk is when technically correct actions happen with incomplete system context, and the resulting blast radius gets treated as a normal infra incident.

[Sayali Patil @patilksayali]

@VentureBeat The incident that motivated this piece never made it into a postmortem as an agent failure. It was logged as a connection pool saturation.

The agent was invisible in the record, and what you can't see in your incident history, you can't govern going forward.

[VentureBeat @VentureBeat]

AI agents are quietly generating chaos engineering failures enterprises don’t track yet
https://t.co/xCMkd3UM83

[VentureBeat @VentureBeat]

There is a category of production incident that engineering teams are not tracking yet — because it doesn't fit any existing postmortem template. #AI #ArtificialIntelligence #GenerativeAI

https://t.co/paXeO1hvgn

[commslink @commslinknews]

Vendor lock-in is the most underestimated risk in modern telecoms procurement ⚠️

Read more 👇
https://t.co/vCrbOyefEh

[Sayali Patil @patilksayali]

Everyone's debating IBM Bob vs Claude Code.
Wrong question.

They're solving different problems at different layers.
@TFinitive @timdanton
Check out:
https://t.co/yn1s1gsQeX

[Towards Data Science @TDataScience]

In a top-notch TDS debut, Sayali Patil brings clarity to the complexities of chaos engineering and explains why it might just be the next big thing for AI systems in production. https://t.co/g9D49wuZo6

[Sayali Patil @patilksayali]

The Leaders Who Fear AI Are Already Losing. So Are the Ones Who Don’t.: https://t.co/Is6vlBZiyI

@AmericanBizMag

[Sayali Patil @patilksayali]

If you can’t explain the design without the code, you don’t own the system, you’re just hosting it. Read more on the hidden costs of AI-generated debt

@nexairi_mentis :https://t.co/iah4A1lJgX

[Sayali Patil @patilksayali]

The gender gap in AI isn’t just a social issue, it’s an architectural one.

As an Ai Infrsatrcture reliability Specialist, recently spoke with @TechRoundUK https://t.co/OI1nU8tqmT

[HackerNoon | Learn Any Technology @hackernoon]

AI systems can detect, diagnose, and repair failures automatically. - https://t.co/fQOhvGMuAG #aiinfrastructure #machinelearning

[Sayali Patil @patilksayali]

Shared some thoughts with @nojitter_ about AI deployment ≠ adoption, and that gap is where most teams lose momentum.

Great piece by @terricoles_

https://t.co/lLOGWhg8MJ

[CIO.com @CIOonline]

Most AI post-mortems start the same way: the model metrics looked great. So what went wrong?

Sayali Patil has lived that moment. In her latest piece for CIO, she makes the case that model accuracy is the wrong thing to optimize for in production, and that the real failure points lie in the pipelines, feedback loops, and architectures surrounding the model.

She outlines three operational signals CIOs should be tracking right now: system behavior under real load, feedback loop maturity, and failure containment.

Read it before your next deployment:
https://t.co/HUOjcqSq6l

#FoundryExpert #EnterpriseAI

[HackerNoon | Learn Any Technology @hackernoon]

Netflix chaos-tests their infrastructure. Nobody is chaos-testing their AI. That gap is going to be expensive — and the methodology to close it already exists. - by @patilksayali https://t.co/Ge5TQ6FScP #aireliability #aichaosengineering

[Sayali Patil @patilksayali]

I’m grateful to be part of the #WomenBreakingBarriers campaign on @Topmate.

I’ve learned so much from mentors and peers along my journey, and this feels like a small way to give back by sharing what I’ve experienced in tech.

Knowledge grows when it’s shared. 🌸

[Elon Musk @elonmusk]

Impressive

[Sayali Patil @patilksayali]

Just launched my Medium blog! 🚀

I��ll be sharing thoughts on entrepreneurship, product management, and the latest in tech. Follow me for updates and insights! ✨ #Medium #Entrepreneurship #tech4nature

https://t.co/0JhlJ7LQEW