Service and CRM CTO @IBM

Atlanta, GA
Joined September 2009
Chat models are built to write text for people. My code needs a decision it can act on. With a free-form answer, my code has to check the label and hope it matches. And the text usually does not say how sure the model is. Jev, an early-access model from TypeSafe AI, is built for that gap. TypeSafe calls it a System One model, after the fast, intuitive thinking in the book Thinking, Fast and Slow. You give it plain text, and it returns an answer from your own list, with a probability for every option. What I walk through: - The three question shapes: noul (yes or no), choice and score - Confidence from 0 to 1, and when code acts, a person confirms or a person decides - Two demos I built in Salesforce: case triage and lead rating Where in your automations do you still read a model's text to get a label? #AI #Salesforce youtu.be/Dwm6-dmOAFo
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Salesforce says a flow's test coverage shows that all elements and paths ran successfully. That is from the Winter '27 Flow Test Mode beta. You save a test scenario with an assertion, run it, and the Test Scenarios panel shows coverage, 100% in my org. Salesforce adds that failed tests don't count toward coverage, so a scenario that fails its assertion adds nothing. What has tracking flow test coverage told you that a manual run didn't? #Salesforce #SalesforceAdmin #Winter27 youtu.be/VfyvKGc8e5I
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What is Agentforce, and when are Flow and Apex still the better tool? How agents are built, how they reason, what they can call, three real jobs, best practices and a three-month learning plan. #Agentforce #Salesforce youtu.be/LEXephBvPeQ
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Salesforce calls admins the backbone of every org. Which explains why everyone leans on you. What admins do every day, which tools to learn first, and where #AI fits in. #Salesforce #SalesforceAdmin
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Should an LLM control a 6G network? Our IEEE VTC2026-Fall paper says: not on its own. The LLM turns an operators goal into structured objectives. Guardrails check them, and deterministic controllers run only what passes. In our 260-intent benchmark that cut the unsafe accept rate from 100% to 0.8%, with a 4.6% false-reject rate and a 50% escalation rate. Paper: Safe Intent Compilation for 6G Network Orchestration Using Guardrailed LLMs, with @amit_sfdc . #6G #LLM #IEEE
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🇮🇳🇮🇳🇮🇳
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Jitendra Zaa retweeted
Happy Ganesh Chaturthi
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Also, this is my favorite OpenAI video so far. It makes me excited for the future!
This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.
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A guy in India bought a Sony Bravia TV. It developed green lines under warranty. Sony's service team called it "external damage" and refused replacement. So he registered SonyBravia.com and posted the entire saga — emails, service records, photos. Sony's response? A 6-page legal notice demanding he delete everything, apologize in 7 days, or face a ₹5 crore civil + criminal claim. Indian Gen Z really isn't sparing billion-dollar brands. 😭
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Welcome Claudeforce. ❤️
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Meta Wanted To Replace Engineers With AI Agents - Literally Everything Went Wrong - Internal docs show a 60% planned cut - AI was supposed to do most work - Zuck changed his mind, last minute - Only did a 10% lay off - Employees staged a huge revolt - AI slop generated 40% more security incidents The most surprising part of this story is assuming that humans wouldn't revolt 😲
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Since 1992, we've teamed up with the @USTA to bring advanced digital experiences to millions of tennis fans. For the 2026 @USOpen, we're taking it further with a suite of new AI-powered app features 🧵
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AI will take over the jobs in India meanwhile AI in india-
🤖 Made with AI
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Today, we are announcing a series of updates that give customers frontier-grade security at half the cost. MAI-Cyber-1-Flash is our first cybersecurity model, built ground up to find the most challenging vulnerabilities in complex code bases. When combined with MDASH, it delivers world-class performance at 50 percent of the cost of leading models. We are bringing this capability to market through Project Perception, a complete agentic security offering grounded in real-world signals and security workflows. Teams of specialized agents work together to simulate attacks, detect and triage/investigate, and fix and remediate. This is the benefit of building the harness, context/signals, and action space separate from one model family. By combining specialized models and data with the right agents, tools, security context, and harness, we can advance the frontier of cost to outcome.
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ORBIT ACHIEVED. 🚀 Vikram-1 Test Flight-1 has reached orbit. India's first privately developed orbital rocket has completed its final burn and injected its payloads into a ~450 km orbit, making India the third country in the world with private orbital launch capability. History is made. 🇮🇳 #Vikram1 #JourneyToOrbit #SkyrootAerospace
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Just Another Argentina Match🔥
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A 15-year-old dream has come true today. I started a PhD with the dream of creating a system that chants any Sanskrit shloka perfectly. And here I am opening sourcing 𝐕𝐚𝐠𝐝𝐡𝐞𝐧𝐮 - 𝐀 𝐯ṛ𝐭𝐭𝐚 (𝐦𝐞𝐭𝐞𝐫) 𝐚𝐰𝐚𝐫𝐞 ś𝐥𝐨𝐤𝐚-𝐭𝐨-𝐜𝐡𝐚𝐧𝐭 𝐭𝐞𝐱𝐭-𝐭𝐨-𝐬𝐩𝐞𝐞𝐜𝐡 (TTS) 𝐬𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐒𝐚𝐧𝐬𝐤𝐫𝐢𝐭. This is the world's first vrutta-aware, open-source TTS for Sanskrit Chanting.
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