Prabhjot Singh

TODAY’S HOT TAKE: IBM and ElevenLabs just signaled a shift: Enterprise AI is finding its voice. They’re moving beyond clunky bots to agentic voice workflows by integrating human-like TTS into watsonx. For our clients, intelligent voice automation like AiVA handles complex healthcare or real estate calls with the nuance of a real team member. Scale no longer has to mean sounding like a machine. Are you building a voice brand? #ZentricAi #IBM #ElevenLabs #VoiceAI #EnterpriseAutomation https://lnkd.in/eiJFpf85

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Median ARR growth rates by category for the 35 SaaS Co's we track. Breakdown of the companies in each category below: Business Apps: PegaSystems Klaviyo Monday Atlassian Veeva ServiceNow Hubspot Procore Appian Workday UIPath Asana Docusign Salesforce Box Zoom ZoomInfo Security: Cloudflare SentinelOne Zscaler Crowdstrike Palo Alto Networks Okta Data: Confluent Snowflake MongoDB Pure Storage Dev Tools: DataDog Nutanix Elastic PagerDuty

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One of the reasons I’m part of @Operator Collective is because of the ability to share real operator insights from trusted peers. Their new State of AI Transformation Report reflects candid insights from leaders across finance, product, GTM, and engineering who are actively driving AI adoption. This is the kind of community-driven research the ecosystem needs more of. Take a look. I have sent this report to numerous CEOs https://lnkd.in/gHWpYTPc

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Big news: Zendesk has acquired HyperArc, an AI-native analytics platform known for real-time, GenAI-powered insights. This marks a major step forward in our analytics journey, with immediate enhancements and powerful AI-native capabilities coming soon. Excited for what’s ahead! https://bit.ly/44HOwHJ

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Had an incredible conversation on the LeaderSHOP podcast with Dr. Rodger Dean Duncan about AI-augmented leadership and what the future of work really looks like. 🎙️ One of the key points I emphasized: AI isn't here to replace our critical thinking—it's here to enhance it. If we allow AI to replace our thinking, we become "dum dums." But if we use it strategically, like every other tool that's improved our lives, we stay in control. The choice is ours: will we control AI, or let it control us? I also shared my perspective that every job is going to change, but few will actually disappear. Even the HVAC technician or plumber isn't being replaced—AI will just make their scheduling easier, help them be more preventative rather than reactive. Every task will see some level of transformation. It reminded me of asking executives: "What was life like before PowerPoint?" Remember those plastic overhead projector sheets? That was cutting-edge technology once! 😄 The real winners will be those who learn to augment what they do with AI, not fight against it. Thanks to Dr. Duncan for the thoughtful conversation about navigating this transformation. Listen to our full discussion here: https://lnkd.in/gatTWux2 #Leadership #AI #AIStrategy #FutureOfWork #LeaderSHOP #Podcast #ExecutiveCoaching #LeadershipDevelopment #Productivity

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As an Adobe employee and shareholder, I’m frequently asked for my take on the company’s valuation. I think this article explains it best: the market often overlooks the depth and complexity of the enterprise business while overestimating the momentum of VC‑backed companies fueled by the AI hype cycle. https://lnkd.in/eb63sa4A

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How should you pitch a CIO? First, get a warm introduction, says Saket Srivastava, CIO of Asana. When CIOs are getting spammed with hundreds of outreach emails a day, a referral from another human stands out and builds initial trust. It also reframes the dynamic: instead of a vendor pitching, you arrive as a peer being recommended.

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I've been sending around this HBR article (in the comments) on why transformation stalls at the "last mile". The article identifies seven structural frictions blocking AI transformation: productivity gaps, tribal knowledge, architectural complexity, and governance. What was underweighted for me in the list of frictions: change management and risk management. The article frames the identity problem as a knowledge capture challenge. How do you get what's in people's heads into the system? But there's a deeper issue. When you ask someone who has built their career around being the person who knows to hand that knowledge to a machine, you're asking them to redefine their professional identity. That requires trust, time, and intentional change management. The same is true for risk. The governance section is framed operationally: things like who can create agents and where accountability sits. But organizations scaling AI are also taking on new categories of risk: model bias, decision transparency, regulatory exposure, and reputational harm. Those deserve to be first-class considerations in any transformation. Great technology, poorly managed, creates great problems at scale. #AI #DigitalTransformation #ChangeManagement #Leadership #RiskManagement #Experient

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This research doesn’t surprise me—I’ve seen it firsthand. We often talk about “digital transformation” as if new technology alone will solve problems. But when middle managers are stretched thin or unsupported, even the best AI or cloud programs stall. Middle managers sit in the toughest spot: translating strategy into day-to-day execution while absorbing pressure from above and shielding teams below. If they don’t have the right mix of time, tools, and training, the whole transformation slows down. A few lessons I’ve learned: • Treat investing in middle managers as part of the transformation budget, not a side program. • Simplify their workload—don’t bury them in admin while asking them to lead culture change. • Measure success in sustainable outcomes, not just short-term adoption metrics. Yes, tech is critical. But without supported middle managers, the ROI never materializes. When they’re equipped and confident, the organization doesn’t just adopt technology—it actually changes.

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An exciting day for Athena Technology Solutions and twinzo! The first #reseller agreement has been signed! Athena Technology Solutions will represent twinzo in the US and India markets, bringing the industry-leading #3D #DigitalTwin technology of twinzo to the #hightech markets! Customers will be able to supplement their #MES and #WMS apps with twinzo's #realtime #logistics tracking capabilities to bring #operations and the #warehouse #visibility, #tracking, #analytics. For more info, please visit https://lnkd.in/gnW3yYhH.

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CNBC anchor Jon Fortt discusses with Dheeraj Pandey and Vinod Khosla, the disruption AI is bringing to enterprise software. They hit some of the key topics - the approach of the legacy SaaS vendors, the approach of the LLMs, among other insights. https://lnkd.in/eAKTKqEB

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90 seconds on where OKRs fit in your operating cadence -- they're great for aligning on strategic priorities, but it's a fast cadence of measurement and conversation that propels results achievement. Get the sound bite: https://lnkd.in/ggu8vmst #strategyexecution #RotB #OKRs #leadership

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The next phase of enterprise AI will be defined by the ability to move from conversation to action. Zoom's agentic AI platform is designed to orchestrate action across systems, turning every meeting, call, and customer interaction into a trigger for workflow automation.

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Check out this session that Prashanth Nanjundappa and I had with TechGig which included topics such as Agentic RAG and how it's one of the best usecases to get started with AI, but also why it can get hard to move to production - and also about how we are leveraging maturity models to meet teams where they are to ensure everyone is fully enabled with AI.

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Been listening to this amazing conversation with Andrej Karpathy on Dwarkesh Patel podcast: Andrej Karpathy on The Cognitive Revolution: https://lnkd.in/gQ-kzGCt It’s a long one, but totally worth it — Andrej is such a fantastic educator. I’ve only made it through the first 1.5 hours, but there are already so many gems: 🧠 On Reinforcement Learning: RL sucks — it’s like "sucking supervision through a straw.” But it's the best we have. Such a good analogy and evocative imagery. 💡 On the future of models: The best future models will learn to extract the cognitive core of intelligence — separating reasoning and generalization from the rote memorization that defines current LLMs. You can already see glimpses of that shift as smaller models begin outperforming larger ones. 🤖 On Agentic AI: He compares agentic AI to compilers — tools that make humans better programmers of thought. Will we get to AGI? No definitive answer, but I like the framing. I'm still only 70% through the episode, but it’s packed with insights like these. I’ll share more takeaways as I go — this one’s definitely worth a listen.

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If you are working on Agentic AI, you will find this panel interesting. Let's create some dialog about this even if you disagree with some of the statements in the podcast.

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New CR Pulse from Chirag Mehta : @Pendoio is evolving from product analytics to an AI-augmented software experience system—reshaping how enterprises connect product, dev, & customer success. Full report: http://bit.ly/3INmPX4 #AI #ProductExperience

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BIG NEWS: Between Two Founders with Wade Foster is live! Wade went all-in on a distributed company long before it was fashionable, and it ended up defining how Zapier operates. He joins me to break down how they scaled without the usual Silicon Valley playbook, how he’s steering Zapier into the AI era by pairing deterministic guardrails with agentic intelligence, and why they never raised another round after their first. It’s a distinctive company arc, built quietly and entirely on its own terms. Full conversation linked below!

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#Anthropic: Agentic AI for Enterprise Integration - Moving from chat to active software integration increases the "stickiness" of its AI, directly challenging legacy enterprise workflows. Unveiled AI agents for financial services and enabled Claude to integrate directly with software like Excel and Outlook using MCO (Moody's) and DNB (Dun & Bradstreet) data.

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