Sandeep Jain

Provocative but not accurate: Cisco's Jeetu Patel reacts to Vinod Khosla jibe about company Khosla, founder of Khosla Ventures, had said at the India AI Impact Summit that somebody who has worked at Cisco for 15 to 20 years would be considered “unemployable”, arguing that people tend to get ossified in large organisations and fail to keep up with change. “Vinod is provocative in ways sometimes that are interesting, but not completely accurate,” Jeetu Patel told Moneycontrol responding to the remark at the India AI Impact Summit in New Delhi. https://lnkd.in/guupKHPu

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𝗪𝗵𝗮𝘁 𝗜 𝗹𝗲𝗮𝗿𝗻𝗲𝗱 𝗳𝗿𝗼𝗺 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗦𝗮𝗻𝗱𝗲𝗲𝗽 𝗞𝗮𝗶𝗽𝘂 𝗮𝗯𝗼𝘂𝘁 𝗔𝗜 𝗮𝗻𝗱 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 Every once in a while, you come across a leader whose perspective reframes how you think about tech and leadership. I recently had the chance to speak with Sandeep Kaipu, on our Conversive Talk. Sandeep leads platform services for VMware Cloud Foundation (VCF) at Broadcom, shaping the private cloud and AI infrastructure that power some of the world’s largest enterprises. What stood out to me about Sandeep wasn’t just his deep technical knowledge, but 𝗵𝗼𝘄 𝗰𝗹𝗲𝗮𝗿𝗹𝘆 𝗵𝗲 𝘁𝗵𝗶𝗻𝗸𝘀 𝗮𝗯𝗼𝘂𝘁 𝗽𝗲𝗼𝗽𝗹𝗲.  He says it best: “𝘛𝘳𝘶𝘦 𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 𝘭𝘦𝘢𝘥𝘦𝘳𝘴𝘩𝘪𝘱 𝘪𝘴𝘯’𝘵 𝘢𝘣𝘰𝘶𝘵 𝘣𝘶𝘪𝘭𝘥𝘪𝘯𝘨 𝘪𝘴𝘰𝘭𝘢𝘵𝘦𝘥 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘦𝘴, 𝘪𝘵’𝘴 𝘢𝘣𝘰𝘶𝘵 𝘢𝘳𝘤𝘩𝘪𝘵𝘦𝘤𝘵𝘪𝘯𝘨 𝘦𝘤𝘰𝘴𝘺𝘴𝘵𝘦𝘮𝘴 𝘵𝘩𝘢𝘵 𝘦𝘯𝘢𝘣𝘭𝘦 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯 𝘵𝘰 𝘧𝘭𝘰𝘶𝘳𝘪𝘴𝘩. 𝘛𝘩𝘢𝘵’𝘴 𝘢𝘴 𝘵𝘳𝘶𝘦 𝘧𝘰𝘳 𝘤𝘰𝘥𝘦 𝘢𝘴 𝘪𝘵 𝘪𝘴 𝘧𝘰𝘳 𝘱𝘦𝘰𝘱𝘭𝘦.” His upcoming book, 𝘈𝘐 𝘌𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 𝘓𝘦𝘢𝘥𝘦𝘳𝘴𝘩𝘪𝘱 (2025), explores that intersection beautifully: balancing logic and empathy, systems and storytelling, technology and trust. 𝗔 𝗳𝗲𝘄 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝘁𝗵𝗮𝘁 𝘀𝘁𝗮𝘆𝗲𝗱 𝘄𝗶𝘁𝗵 𝗺𝗲:  • Infrastructure is no longer plumbing, it’s the foundation of insight and creativity.  • Leadership is service, helping others see their own potential more clearly.  • Curiosity is the only sustainable strategy. If you’re passionate about AI, engineering, or leading teams through transformation, this conversation is a must-read. https://lnkd.in/guNgwqNQ #ConversiveTalks #Leadership #AI #Engineering #TeamCulture #AIEngineering

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𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘇𝗲 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘃𝗮𝗹𝘂𝗲 𝗮𝗰𝗿𝗼𝘀𝘀 𝘁𝗵𝗲 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗶𝗻 𝗮𝗻 𝗔𝗜-𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝘄𝗼𝗿𝗹𝗱? That is the question we will tackle in an interactive Innovation Workshop at the SuccessLab Executive Forum on March 24 at NetApp in San Jose. Last Friday, I had a terrific planning session with Alex Schrager and Kasha Leese, of Ecosystems.io, Anurag Goel of Red Hat, and Matt Collier of Planhat as we shared the workshop: 𝗗𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗩𝗮𝗹𝘂𝗲-𝗖𝗲𝗻𝘁𝗿𝗶𝗰 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀 Rather than a presentation-heavy session, this will be a collaborative working exchange among senior peers focused on one of the most important challenges facing post-sales leaders today. Together, we will explore: ▪ How leading organizations are embedding value realization into daily workflows ▪ How Success, Sales, and Product align around measurable outcomes ▪ How teams move from AI experimentation to real enterprise impact ▪ How post-sales leaders scale value with limited resources ▪ How value creation connects to expansion, retention, and durable ARR What makes this workshop compelling is the combination of research insights, practical examples, peer exchange, and collaborative exercises. Participants will gain actionable takeaways and playbooks shaped by the collective thinking in the room and shared with the broader community. Thank you again to Alex, Kasha, Anurag, and Matt for helping shape what will be a thoughtful and highly relevant session. We welcome leaders in Customer Success, Product, Services, IT, and AI to join us on March 24. More info and registration: https://lu.ma/css324 #AI #CSS #CVC #CustomerValue #Ecosystems #SuccessLab

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I recently interviewed Harshit Omar, Co-Founder & CTO of FluidCloud, and asked him three direct questions about what recent cloud outages really mean for enterprises. His answers cut through the noise — on:
• Why “multi-cloud” often isn’t truly resilient
• Where most enterprises are still exposed to risk
• What real cloud portability actually looks like in practice Great read!

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🚨 𝑩𝒆𝒊𝒏𝒈 𝑰𝒏𝒕𝒓𝒆𝒑𝒊𝒅 NEW EPISODE: AI Upskilling and Innovation with Cisco CLO Marci Paino 🎙️ What if your learning strategy started with your business strategy and shipped value 𝘧𝘢𝘴𝘵 by delivering “minimum loveable products”? These are the core disciplines Marci Paino and her team practice at Cisco.    Marci and I covered a lot of ground talking about learning as a driver for innovation, AI upskilling, AI for learning and more in this episode but two ideas really stood out to me.     First, while Cisco’s AI skills research identifies the need to fill myriad technical skill gaps, upskilling the “everyday worker” on AI was their biggest priority. Everyone, from individual contributors to leaders and even board members, needs a safe, practical on-ramp to relevant, targeted AI upskilling.     Second, embrace design thinking, take the time to understand your customer’s pain, ship a “minimal lovable product,” and iterate. Product quality improves when the learning team models the behaviors they’re teaching the rest of the company.    How are you anchoring learning to your company’s core business strategy? And how do you deliver quality learning products?  Tune in and share your thoughts!   Watch or listen here: https://lnkd.in/guUHTUBp  #LearningInnovation #AIDrivenLearning #DesignThinking #MinimumLovableProduct #BeingIntrepid #AIUpskilling #LearningDesign #BusinessStrategy

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Why aren't tech companies building more solar power? Yes, the Amazon AWS outage was impactful - for a day - and the cause (DNS) is interesting - but what stands out to me is data center increasingly heavy needs for electricity. According to this article, in Virginia 25% of the energy usage is by data centers; and they are building more. We need more solar and wind, we need more guidance from politicians, and more ethical focus by these companies. China, by example, is WAY ahead of the US now in the pace of building new large-scale solar installations. https://lnkd.in/dVtawPk5 #DataCenters #Electricity #power #Energy #ethics #Environment

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I just wrapped a high-impact conversation with Padmini Murthy and Chani Modi on the #BrandMatters podcast about how AI is radically transforming Product Management. Listen to it here:https://lnkd.in/gKmemxsp Key takeaways: The days of static frameworks are over. Here are the critical shifts PMs need to act on now: 1. Technical Fluency in LLMs/RAG is now a core PM competency. 2. Dynamic Prioritization fueled by real-time data is replacing RICE (and other traditional) frameworks. 3. The Human Factor is Essential: AI handles analysis, but strategic PMs must bring the wisdom, intuition, and courage for decisions—especially when dealing with data scarcity, cultural resistance, or AI ethics. What data or culture blockers are you seeing slow down AI-accelerated product transformations in your organization? #ProductManagement #AI #ProductStrategy #FutureOfWork

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