Sign in to view Dharmesh’s full profile
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
Sign in to view Dharmesh’s full profile
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
San Ramon, California, United States
Sign in to view Dharmesh’s full profile
Dharmesh can introduce you to 10+ people at Google
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
3K followers
500+ connections
Sign in to view Dharmesh’s full profile
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
View mutual connections with Dharmesh
Dharmesh can introduce you to 10+ people at Google
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
View mutual connections with Dharmesh
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
Sign in to view Dharmesh’s full profile
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
About
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
Activity
3K followers
-
Dharmesh Patel shared thisDiscover a secure Agent-to-Agent (A2A) approach for external system access in our upcoming Cloud onAir session. Learn how to manage real-time permissions and usage with special guest Tollbit, ideal for Gemini Enterprise builders and developers. Secure your spot to gain these valuable insights. https://google.smh.re/5S4U
-
Dharmesh Patel shared thisHow do you win the traveler with 6 tabs open? From dynamic pricing to Gemini-powered concierges, hotel brands use Google Cloud to drive direct bookings. It’s about more than speed - it’s about using AI to make every guest feel like the only guest. Whether you’re running a boutique stay or a global franchise, learn how to level the playing field and scale personalization without the massive overhead. Check out how we're helping hospitality leaders move faster and stay personal. #googlecloud https://google.smh.re/5RT4
-
Dharmesh Patel shared thisFinancial institutions shouldn’t have to choose between cloud innovation and data residency. We’re excited to showcase a hybrid AI solution with Red Hat that delivers the best of both worlds for loan decisioning: 🔹 Vertex AI (Google Cloud) handles high-scale initial processing and "gatekeeper" modeling. 🔹 OpenShift AI keeps sensitive logic and interest-rate calculations on-premise. 🔹 Llama 3 (via Red Hat AI Inference Server) provides customers with transparent, natural-language explanations. It’s a unified, open foundation for building compliant, intelligent applications at scale. #GoogleCloud #VertexAI #RedHat #OpenShift #HybridCloud #Fintech #GenAIHybrid loan-decisioning with OpenShift AI and Vertex AI on Google CloudHybrid loan-decisioning with OpenShift AI and Vertex AI on Google Cloud
-
Dharmesh Patel shared thisHow agentic AI is rewriting the rules for logistics providersHow agentic AI is rewriting the rules for logistics providers
-
Dharmesh Patel shared thisAchieving breakthrough performance with AI goes beyond working faster. It’s about moving from efficiency to innovation. 🚀 Research shows that organizations transformed by AI see a 2x improvement in creativity and focus. How can your team get there? We’ve rounded up 11 practical ways to use Gemini across Google Workspace, including: 🔹 Writing "power prompts" that deliver better results. 🔹 Using NotebookLM to synthesize complex research instantly. 🔹 Automating project trackers and slide designs. Ready to lead your team’s AI transformation? Check out our new guide, "Introduction to Gemini at Work," for the full list of tips. → https://goo.gle/4ssJ6er11 Tips to Work Smarter with Gemini in Google Workspace11 Tips to Work Smarter with Gemini in Google Workspace
-
Dharmesh Patel shared thisJoin developers, IT leaders, and innovators for three days of hands-on learning, keynotes, and deep dives into the latest breakthroughs in AI, data, and security. Explore the session library and register today → http://goo.gle/3L9qob4
-
Dharmesh Patel shared thisReady to build your next big idea? Dive into expert-led sessions and solution-focused keynotes at #GoogleCloudNext. Explore the session library and register today → http://goo.gle/3L9qob4
-
Dharmesh Patel reposted thisDharmesh Patel reposted thisAs we look toward #HIMSS26, the conversation in healthcare has shifted from what AI could do to what AI is trusted to do. Industry is leaning into the Agentic Moment, proud to be working alongside industry leaders Tony Ambrozie from CVS Health, Richard Clarke Highmark Health and Chris Schremser Waystar as they are leading the way in moving from data to agentic action. Imagine: • A patient with an intelligent assistant helping them navigate symptoms, coverage, and care options....like the launch of CVS Health’s Health100, an AI-native engagement platform that makes navigation seamless and proactive. • A clinician getting their “pajama time” back as documentation and follow-ups happen seamlessly...like HCA Healthcare Nurse hand-off • Health plans processing claims and prior authorizations faster and more accurately...like Highmark Health, whose "Sidekick" platform has realized $27M+ in value by easing the cognitive load for 16,000 users. • Imagine each repetitive chore automated... like Waystar, which has prevented over $15B in denials by moving toward an autonomous revenue cycle. This is how AI begins to democratize healthcare access — by reducing complexity across the system. As the industry is moving from AI that simply "suggests" to Agentic AI that acts, it requires a foundation of absolute trust. You cannot have "agency" without rigorous security, identity, and access management. At Google Cloud, we believe this shift requires an enterprise-grade ecosystem. Gemini Enterprise is designed as that "single pane of glass"—a unified agentic platform serving as the secure "front door" for the healthcare workplace. It moves us beyond simple task assistance to full, orchestrated workflow automation. The full blog here: https://lnkd.in/g9wKei2j Grateful for this community of purpose. How is AI "compounding" impact in your world? #AgenticAI #GoogleCloud #HIMSS26 #HealthTech Cc Ravi Rajamani Ramakrishna (Ramki) Gummadi (Ph.D.) Olivia Cornejo Alison Pinter Raghvender Arni Arnab Biswas Rob Birdsong Carrie Tharp Anil Jain James Archambault Chris Sakalosky Toby Brown Kim Victory Ryan A. Terry Kyle J. Jessen Jason Klotzer Will Rosenfeld Dharmesh Patel Oliver ParkerHelping healthcare move from data to agentic action | Google Cloud BlogHelping healthcare move from data to agentic action | Google Cloud Blog
-
Dharmesh Patel shared thisSpeedoc is bringing hospital-level healthcare to homes everywhere. Co-founder and CEO of Speedoc, Dr Shravan Verma, shares how the company uses Gemini to optimise workflows and deliver faster, smarter healthcare. Watch now ⬇️
-
Dharmesh Patel liked thisDharmesh Patel liked thisWe are proud to deepen our long-term partnership with Merck as they transform into an Agentic AI enterprise. By scaling Gemini-powered agents across their global operations, Merck is unlocking new value—accelerating drug discovery, boosting productivity, and modernizing how they work. This collaboration is a powerful example of how a shared vision for AI transformation can empower teams to focus on high-impact science and bring breakthroughs to patients faster than ever before. 🧬☁️ #GoogleCloud #Merck #AgenticAI #GenAI #LifeSciences #Innovation #GoogleCloudNext #GoogleCloudNext26 https://google.smh.re/5UKx
-
Dharmesh Patel liked thisDharmesh Patel liked thisIt was a privilege to join a panel of extraordinary minds in #Biotech and #Healthcare to tackle AI questions at Biocom, many thanks to Ena Cratsenburg CBO at Ginkgo Bioworks , Sergey Edunov CTO at Genesis Molecular AI and Beth Rogozinski CEO Oncoustics . In the enterprise world, progress is often measured by the pace of process. However, our mission is to move at the pace of possibility. We are united by a shared passion to #cure #cancer and a collective commitment to #innovating at scale. For me, the focus is clear: #AI is far more than a tool for efficiency , it is the master key to unlocking a new era of discovery. By breaking through operational bottlenecks, we can transform #biotech from a series of workflows into a series of life-changing breakthroughs. My sincere thanks to the organizers for their vision and leadership in organizing such a conference, and to my fellow panelists for such an inspiring exchange of ideas. #HealthcareAI #BioTech #AIForGood #Google
-
Dharmesh Patel liked thisDharmesh Patel liked thisPeople, Purpose, and 30,000 Steps a Day 👟 Google Next ’26 is in the books. Yes, the “Agentic Era” was front and center. The announcements were bold. The scale—35,000 people in person and millions watching the keynote—was incredible. And my legs are still recovering from 30,000+ steps a day—but what’s staying with me isn’t just the tech or the miles… it’s the moments. The real highlight? The people. Those moments don’t make the keynote, but they’re the ones that stick. It’s the people who bring technology to life—and make it matter. The pride on my customers' faces as they walk onto the stage, ready to share their story. The trust built in small moments—introductions, conversations, simply showing up to support their ideas. Connecting them with the right partners who can help move those ideas forward. Walking side by side between sessions, where quick chats turn into something deeper. And that spark of shared curiosity when a new capability finally clicks. These moments are a reminder that as much as it is about the technology, it’s also about what people do with it—how they solve real problems, help others, and create something that didn’t exist before. That’s what made this week meaningful for me. Not just what we’re building—but who we’re building it with. Leaving energized, grateful, and reminded that progress is, at its core, human. CC: Madhu Narasimhan, Madhavan Vasantham, Venkat Alladi, Nithin Seshadri, Vish Tipirneni, Rajeev Ranjan, Danny Brakebill, sam ghosh, Damon Crouch, Venka Bhogasamudram, Jason Morton, Alex Silva, Rishabh Ginotra, Rory Headon-Weeks, Aashima Gupta, Arnab Biswas, Jesse Edelsberg, Gaurav Tambar, Karl Smayling, Harpreet Kaur, Dev Tagare, Bei Li, Piyush Mathur, Jagan Athreya, Jeff Sosa, Girish Baliga, Vaibhav Govil, Vance W., Scott J., Vijay Shah, Saurabh Sule, Rajeev Singh Thanks Onix Team: Saurabh Sule, Rajeev Singh, Cloudnyx.ai Team: Vance W., Scott J., AMD: Alex Silva and all the partners for hosting our customers to your social events. Leaving energized, grateful, and reminded that progress is, at its core, human. If you missed the event, here’s a great recap of the key announcements: https://lnkd.in/gCTUMhtJ #GoogleNext26 #GoogleCloud #HumanConnection #Leadership #Innovation
-
Dharmesh Patel liked thisDharmesh Patel liked thisLast week had a great time in Vegas at Google Cloud Next. If I were to summarise it in one sentence this is what stood out for me - Google is now the only player delivering a complete, top to bottom AI stack. From the TPU 8i hardware all the way up to the new Gemini Enterprise Agent Platform. They have built a vertical that covers the entire agent lifecycle. They made 260+ announcements last week, but the real story is that Agentic AI is finally hitting maturity. If you are an enterprise leader working with point AI solution vendors right now, you need to ask them one blunt question: What does our 5 year AI roadmap look like with you? If they can't give you a clear answer on how their agents integrate with your core data or scale over that horizon, you aren’t building a strategy. You are just stacking up architectural debt. You’re building a prototype that’s going to break by Q3. The industry is moving fast. It was great to connect with the Google team and so many forward thinking business leaders. Manoj Agrawal Tom Stoner Carla Cerqueira Torres Kimberly Thomas Unnayan Jain Dharmesh Patel Naresh R. Jasotani Noam Feinstein P.S. AI is even making the morning latte personal. Got mine with the Jamaican(spring break hangover) beach vibe using Gemini #GoogleCloudNext #AgenticAI #EnterpriseAI #TheAgenticFactory #CloudStrategy #GenerativeAI
-
Dharmesh Patel liked thisThe project I have been proudly working with an amazing team here at Google!Dharmesh Patel liked this🚀 BigQuery Agent Analytics is now GA! (Live from Google Next '26) Building an AI agent is easy. Moving it to production with total confidence? That’s the hard part. I’m thrilled to share that BigQuery Agent Analytics has officially reached General Availability! To help you go beyond simple dashboarding, we’ve released the BigQuery Agent Analytics SDK—an open-source toolkit designed to turn your raw agent telemetry into actionable engineering insights. Check the Google Next Video here https://lnkd.in/gnwuSQxc 🛠️ Why does this matter? Most teams stop at monitoring latency and tokens. But for ML engineers and platform teams, "it works on my machine" isn't enough. You need to know: Did my prompt change cause a logic regression? Is my agent taking 3x more steps to solve the same problem? Is the "hallucination rate" spiking on real production traffic? The SDK connects your agent_events directly to BigQuery SQL, enabling a rich set of evaluation and observability capabilities. 📚 Getting Started: A BigQuery Agent Analytics Blogposts Series I’m launching a series of blogposts to help you master agentic analytics: 1️⃣ The 10-Minute Tour: Turn raw agent_events rows into readable, beautiful trace graphs. Your BigQuery table is actually a graph—here is how to see it. 🔗 https://lnkd.in/guAWqtDa 2️⃣ The CI/CD Gate for Agent Quality: Use GitHub Actions and production traces to block latency and quality regressions before they merge. Stop guessing if your agent is getting slower. 🔗 https://lnkd.in/g_b4vYQK 3️⃣ Scalable LLM-as-a-Judge via BigQuery: Level up your evaluation. Use AI.GENERATE and yesterday’s production traces to automate gates for hallucination and sentiment directly in BigQuery. 🔗 https://lnkd.in/gkaNSusb 🔮 What’s Next? We aren't stopping here. Stay tuned for upcoming features on: Self-evolving agents that learn from their own traces. Long-term context memory derived from historical sessions. Decision trace via BigQuery Graph for complex traces from the multi-agents orchestration. 👉 Get Started: BigQuery Agent Analytics SDK on GitHub https://lnkd.in/g9fRwMbs 👉 Documentation: BigQuery Agent Analytics https://lnkd.in/g3KyZ8SH #GoogleCloudNext #BigQuery #AIAgents #GenAI #LLMOps #DataEngineering #GoogleCloud Wu Jiaxun Sandeep Karmarkar Rachael Deacon-Smith Ganesh Kumar Gella
-
Dharmesh Patel liked thisDharmesh Patel liked thisJust walked out of the Google Cloud Next keynote. A lot to process. ✨ Sundar's message set the tone. Grounded, clear, and forward-looking as always. A few things that genuinely excited me as someone who builds in this space: 🤖 Enterprise Agent Platform This one landed hard. Build, Scale, Govern, all in one place. Agent Studio, Agent Registry, Skills and Tools Registry, Agent Marketplace, A2A Orchestration (both generative and deterministic patterns), Agent Identity, Gateway, and Observability. This is the infrastructure layer agentic AI has been missing. The pieces exist. Now there's a cohesive blueprint. 💡 Gemini Enterprise Not just a model upgrade. Positioned as the new front door to AI for every employee and every workflow. Projects coming soon. This signals something bigger about how AI gets embedded into how organizations actually operate day to day. 📊 Agentic Data Cloud This one hits closest to home for me. Knowledge Catalog as a universal context engine. Data Agent Kit bringing Gemini-powered data engineering into the tools data practitioners already use. MCP support for BigQuery and the broader Google Cloud ecosystem. For anyone building data pipelines or agentic RAG systems, this changes what's possible. And the line that stuck with me most from the keynote: "The era of pilots is over." Not the era of AI. The era of small experiments that never ship. The expectation now is real production systems, real business value, real accountability. The customer stories: Liverpool's shopping assistant, Home Depot’s Magic Apron, NASA's Artemis 2 work, made that concrete. These aren't demos. These are live. Lots to dig into over the next few days here. More reflections coming. 🚀 #GoogleCloudNext #GoogleCloud #AIAgents #DataEngineering #GenAI
-
Dharmesh Patel liked thisDharmesh Patel liked thisWhat an absolute blast it has been at #GoogleCloudNext in Las Vegas this week. Beyond the electric atmosphere of the announcements on Agentic Enterprise, the true highlight has been the incredible opportunity to learn from our incredible customers, thoughtful partners, and brilliant colleagues who bring the best of Google to NEXT. The moment for Agentic Enterprise is NOW driven by an "outcome-first" transformation approach. #GoogleCloudConsulting
-
Dharmesh Patel liked thisDharmesh Patel liked thisSampath Koppole has taken on the role of HCLS Lead – Inception & Startups, EMEA at NVIDIA. He brings deep experience at the intersection of healthcare, life sciences, and technology, with a strong focus on enabling innovation in highly complex, data-driven environments. Over the course of his career, Sampath has worked closely with organizations across the life sciences ecosystem, combining strategic advisory with technical expertise to drive transformation and innovation. In his new role, he will lead NVIDIA’s Inception and Startups initiatives for Healthcare and Life Sciences (HCLS) across EMEA, focusing on empowering early-stage innovators, scaling ecosystem partnerships, and driving go-to-market strategies for cutting-edge AI-driven solutions. His work will center on accelerating the adoption of AI and advanced computing in areas such as drug discovery, medical imaging, and patient care. With a strong emphasis on ecosystem building and high-touch engagement, Sampath will play a key role in supporting the next generation of healthcare and life sciences startups leveraging AI. 👉Read More: https://lnkd.in/gGUXjHw3 #sampathkoppole #hcls #lead #inception #startups #emea #nvidia #leader #leadershipannouncement
-
Dharmesh Patel liked thisDharmesh Patel liked thisToday at #GoogleCloudNext we're sharing new innovations across our integrated stack to to help transform your organization to an Agentic Enterprise: - Gemini Enterprise Agent Platform is our new, comprehensive platform that has everything your technical teams need to build, orchestrate, govern and optimize agents. - Gemini Enterprise app includes a new Agent Designer, Inbox for managing agent activity, long-running agents, Skills, Projects and more. - Our 8th Generation TPUs, including TPU 8t for accelerated training and TPU 8i for cost-effective, near-zero latency inference. - Agentic Data Cloud introduces a new, AI-native architecture that allows your data to be utilized at AI speed, including Knowledge Catalog, Data Agent Kit, and a cross-cloud, AI-native Lakehouse. - Agentic Defense delivers a number of new agents for threat detection, detection engineering, remediation and more, along with Wiz's AI Application Protection Platform (AI-APP), providing autonomous protection from code to cloud to runtime across multicloud, hybrid, and AI environments. - The Agentic Taskforce delivers a frictionless journey for your customers and helps employees be more effective. It includes our Gemini Enterprise for Customer Engagement Suite and Workspace Intelligence that streamlines productivity by providing a unified context layer across Workspace apps. We deliver all of this with a commitment to openness, and interoperability so you can choose what’s best for your business - whether it comes from us, or one of our many partners. Read more on our blog: https://lnkd.in/e4Rd8ZP4
Experience & Education
-
Google
******** ********* ********* * **********
-
******* ****** **********
** undefined undefined
-
-
********** ***** **** **********
** undefined
-
View Dharmesh’s full experience
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
Licenses & Certifications
Volunteer Experience
-
Volunteer
Doxa House Building
- Present 8 years 7 months
Social Services
Built a home for less privileged family in Tijuana, Mexico during 2017 thanksgiving week. An activity organized by DOXA House Building (www.doxaserves.org)
-
Coach
Destination Imagination
- 11 months
Education
I coached a team of middle school students for the Destination Imagination contest. The team made it to the global finals.
Publications
-
Use Generative AI for Utilization Management
Google Cloud
See publicationThis document describes a reference architecture for health insurance companies who want to automate prior authorization (PA) request processing and improve their utilization review (UR) processes by using Google Cloud. It's intended for software developers and program administrators in these organizations. This architecture helps to enable health plan providers to reduce administrative overhead, increase efficiency, and enhance decision-making by automating data ingestion and the extraction of…
This document describes a reference architecture for health insurance companies who want to automate prior authorization (PA) request processing and improve their utilization review (UR) processes by using Google Cloud. It's intended for software developers and program administrators in these organizations. This architecture helps to enable health plan providers to reduce administrative overhead, increase efficiency, and enhance decision-making by automating data ingestion and the extraction of insights from clinical forms. It also allows them to use AI models for prompt generation and recommendations.
-
The future of clinical data: building an intelligence engine with Augmedix & Google Cloud
Google Cloud Community Blog
See publicationThis blog documents a Clinical Intelligence Engine architecture template to integrate data generated by Augmedix into a data lake deployed by a healthcare enterprise based on the Google Cloud services. Clinical Intelligence Engine is a Google Cloud-based data analytics solution that proactively generates clinical intelligence and care recommendations for population care. The solution enables health systems to take action to improve their performance in terms of cost and quality. It can provide…
This blog documents a Clinical Intelligence Engine architecture template to integrate data generated by Augmedix into a data lake deployed by a healthcare enterprise based on the Google Cloud services. Clinical Intelligence Engine is a Google Cloud-based data analytics solution that proactively generates clinical intelligence and care recommendations for population care. The solution enables health systems to take action to improve their performance in terms of cost and quality. It can provide insight and intelligence, making it an essential tool for health systems pursuing clinical transformation.
-
Care Gaps on FHIR to improve quality of patient care
Google Cloud
See publicationThe solution outlined in this blog post helps providers and health plans to receive better scores and star ratings from the government, with significant medicare financial incentives, and it enables providers to deliver personalized and contextual care for better patient outcomes.
Languages
-
English
-
-
Hindi
-
-
Gujarati
-
Recommendations received
7 people have recommended Dharmesh
Join now to viewView Dharmesh’s full profile
-
See who you know in common
-
Get introduced
-
Contact Dharmesh directly
Other similar profiles
-
Neil Rolland
Neil Rolland
Rolland Health Care Advisors, LLC
5K followersGreater Minneapolis-St. Paul Area -
Soleh Ayubi, Ph.D
Soleh Ayubi, Ph.D
International Vaccine Institute (IVI)
12K followersJakarta, Indonesia
Explore more posts
-
Sharon Gadonniex
Capital One • 2K followers
Our own EVP, Chief Scientist & Head of Enterprise AI Prem Natarajan recently spoke to TechTarget about Capital One’s partnership with the National Science Foundation (NSF), which will help launch five new National AI Research Institutes to drive breakthroughs in high-impact areas across society like material and computational sciences, economics, and mental health. https://bit.ly/3JQDWYm
15
1 Comment -
Benjamin Storz
3K followers
🍔🚗 Wendy’s is reinventing the drive-thru — with the power of generative AI. In partnership with Google Cloud and Accenture, Wendy’s launched FreshAi, an AI-powered assistant built on Vertex AI that takes drive-thru orders with speed, accuracy, and a touch of personality. While Google Cloud brings cutting-edge AI capabilities like natural language processing and real-time data insights via BigQuery and Looker, Accenture plays a key role in integrating these technologies at scale — helping Wendy’s turn its nearly 6,000 drive-thrus into smarter, faster digital experiences. The result? Happier crews, more accurate orders, and an even fresher experience for every customer. 🎥 Watch how Wendy’s is transforming fast food with AI innovation.
1
-
Sean Harrison
Acentra Health • 2K followers
Big Step, Daniel! SAMA’s 2025 momentum is clear: Version 1.0 of the use cases, risk evaluation framework, and implementation guide is now adopted. Participation includes 170+ participants across 35 states. Next up is a model state Medicaid AI policy aligned to NIST and built for real program operations. If your team wants a walkthrough or to learn more about SAMA, message me or Daniel and we'll set it up. #Medicaid #AI #ResponsibleAI #NIST #SAMA #AIinHealthcare
11
1 Comment -
Nicko Trataris
AI Agents LLC • 11K followers
AI at Kaiser Permanente - This AI Decision by Kaiser Permanente Ends the Healthcare AI Debate Kaiser Permanente just deployed AI scribes to 24,000 physicians across 40 hospitals and 600+ medical offices — in a single move. by AskAIAgents.com This wasn’t a pilot. This wasn’t an experiment. It’s the largest ambient AI documentation rollout in healthcare history. Doctors spend an average of 16 minutes documenting for every patient visit — nearly two hours of typing for every hour of patient care. At Kaiser’s scale, that adds up to 48,000 hours of documentation every day. Now imagine reclaiming even half of that time. This moment marks a turning point. AI in healthcare is no longer a “nice to have.” When the largest integrated health system in the U.S. goes all-in, AI becomes standard clinical infrastructure — right alongside EHRs and stethoscopes. 2026 isn’t the year we debate AI in healthcare. It’s the year AI stopped being optional. The real question now isn’t whether to adopt AI — It’s how fast you can scale it. #HealthcareAI #ArtificialIntelligence #DigitalHealth #HealthTech #AIinHealthcare https://lnkd.in/gKUaytQx
1
-
Kapil Gupta
JioHotstar • 5K followers
As conversations at #AIImpactSummit2026 revolve around scaling AI responsibly, I’m especially proud of the rigorous work our Data Science team has delivered. Our latest write-up dives into how we built a scalable validation framework for video generation - measurable & production-grade evaluation across visual consistency, deformity detection and consistencies for script alignment. In the AI media space, generation is only half the problem. Validation is the real differentiator. Kudos to the Data Science team (Shreya Singh Preetham Gali Akshay Sharma Sanjai L Janani Ramaswamy), led by Sagar Tekwani for bringing scientific rigor to creative AI workflows. This is the kind of foundation that enables AI to move from experimentation to dependable production systems. Shoury Bharadwaj Vijay Seshadri #GenerativeAI #AIMedia #DataScience #ResponsibleAI
29
-
Rohit Thekkanal
Amazon • 1K followers
Proud to see our work with Nimbus Therapeutics featured in the AWS re:Invent keynote! Our team developed drug-discovery aware LLMs using Nova Forge, combining Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT) to create custom model tailored for Nimbus. Thanks Andy Lapastora Krishnateja Killamsetty Elyse (Jiali) Zhang and Clement PERROT for the exceptional work. Also thanks to the wonderful AGI and Nimbus team for making this collaboration a success. cc: Hannah Marlowe, PhD Sri Elaprolu Taimur Rashid Sharlina Keshava Caleb Wilkinson Alexandra Fedorova
46
1 Comment -
Umair K.
Amazon Web Services (AWS) • 2K followers
I'm excited to announce our new blog on AI-enabled Medical Coding on Amazon Web Services (AWS) is now live! 🚀 Healthcare Providers face significant challenges with medical coding - it's time-consuming, error-prone, and directly impacts revenue. Our solution leverages Large Language Models on AWS to transform this critical process. In this technical blog, we demonstrate how to: 🤖 Automate medical coding using Amazon Bedrock and AWS HealthLake 🔍 Extract accurate ICD-10 and CPT/HCPCS codes from clinical documentation 📝 Generate compliant CMS-1500 claims with human-in-the-loop verification 🔄 Create a self-improving system that enhances accuracy over time This solution helps providers 💻 reduce coding errors, ⏱️ accelerate billing cycles, and 💰 optimize revenue capture while maintaining compliance. Check out our 🏗️ complete architecture, 📋 implementation guide, and 🎬 demo video here: https://lnkd.in/g_7e5A63 Thanks to my co-authors Laks Sundararajan, Brannon Mason, Dr. E Hanh Le, MD and Raymond Gabriel, RPh, CPC, CSS, CSR for the collaboration! #AWS #Healthcare #MedicalCoding #GenerativeAI #AmazonBedrock #HealthTech #RevenueOptimization AWS for Healthcare & Life Sciences
79
7 Comments -
Sunil Mamilla
Charles Schwab • 2K followers
As LLMs evolve from static models into dynamic components of real-world applications, they must do more than perform tasks; they must also adapt to context, personalize interactions, and continuously improve through feedback. This blog outlines a practical, modular approach to designing adaptive, production-ready LLM systems using: - Supervised Fine-Tuning (SFT) for core task competence - Reinforcement Fine-Tuning (RFT) for behavioral alignment - Context-aware routing for persona and adapter control - RAG for real-time knowledge injection - Telemetry loops for continuous learning and refinement It also includes a curated toolchain (LoRA, trl, vLLM, Langfuse, and more). https://lnkd.in/gBtjeg_X
17
2 Comments -
Manoj Vishwakarma
IET Kanpur • 487 followers
🚀 Fine-Tuning Small Language Models (SLMs): A Step-by-Step Guide As AI adoption accelerates across industries, Small Language Models (SLMs) are emerging as powerful, cost-effective tools for domain-specific tasks — especially in regulated sectors like healthcare. Here’s a practical guide to fine-tuning SLMs for your enterprise use case: 🧠 Step 1: Define the Use Case Start with a clear objective — e.g., member journey optimization, clinical note summarization, or marketing content classification. 📦 Step 2: Prepare the Dataset Curate high-quality, domain-specific data. Clean and tokenize text. Ensure compliance with data privacy (HIPAA, etc.). 🏗 Step 3: Choose the Right SLM Options: TinyLlama, DistilBERT, BGE-Small, etc. Consider model size, latency, and inference cost. 🛠 Step 4: Set Up the Environment Use Databricks, Hugging Face, or Azure ML. Leverage GPU clusters for faster training. 🔁 Step 5: Fine-Tune the Model Use transfer learning with domain-specific data. Apply techniques like LoRA or QLoRA for efficiency. Monitor training loss and validation accuracy. 🔍 Step 6: Evaluate & Test Use benchmark datasets and real-world samples. Measure precision, recall, F1-score. Perform bias and safety checks. 🚢 Step 7: Deploy Securely Containerize with Docker. Use Azure endpoints or Databricks Model Serving. Implement RBAC and audit logging. 📈 Step 8: Monitor & Improve Track performance in production. Collect feedback and retrain periodically. 💡 SLMs are not just lightweight — they’re agile, interpretable, and ideal for enterprise AI. If you're working in healthcare, MarTech, or regulated domains, now is the time to explore their potential. Let’s connect if you're exploring SLMs for your next AI initiative! #AI #SLM #Databricks #HealthcareAI #MarTech #FineTuning #LLM #AzureML #MLOps #EnterpriseAI #DataScience
14
-
Utsav Pandya
Tesla • 2K followers
📰 OpenAI & Intuit Sign $100M+ Partnership Deal 🔗 https://openai.com/news/ 📝 Summary: Intuit has signed a $100 million+ deal with OpenAI to integrate ChatGPT into its applications, expanding enterprise use cases and enabling seamless AI integration across Intuit's product suite for millions of users. 💭 Sentiment: Positive - Major enterprise partnership demonstrates strong commercial adoption and revenue growth potential for OpenAI. 🏢 Companies: @OpenAI @Intuit #AI #GenerativeAI #TechNews #Tech
-
Apala Guha
Microsoft • 2K followers
Ruokai Yin, our summer intern from Yale to Microsoft Azure, worked with Xuan Zuo, @Sattwik Deb Mishra, Hokchhay T. and Preyas Shah and me. We published a paper based on his project: https://lnkd.in/eHuG3BSt Summary of paper: Finding optimal sharding is hard especially for large LLMs. A large number of devices have to be divided into TP, PP, EP dimensions. For TP, we have to decide the tensor dimension e.g. head, hidden size to shard for every op. Additionally, TP can be one-dimensional/two-dimensional etc. This makes for a large sharding space that is hard to cover exhaustively. SoTA methods use heuristics to select sharding e.g. GSPMD, Sequence Parallelism, Helix etc. There are significant time gaps, months or years, between the discovery of each of these methods. We want to fast-forward the process of discovery by 1) using a formal representation of the sharding space, and, 2) using reinforcement learning to search the sharding space. This paper demonstrates that our method is 3.5x better than random search, and on par with hand-tuned heuristics when looking only at 1D sharding and without allowing sequence parallelism. We aim to extend the work to multi-dimensional sharding as well as sequence parallelism. Beyond that, we wish to combine the problem of sharding with fusion, tiling and collectives as well.
58
-
Ankur Srivastava
2K followers
Google is releasing fully-managed Model Context Protocol (MCP) support for Google and Google Cloud services. We are launching with support for key services to ground AI agents in the real world and reason over enterprise data: - Google Maps: Connects agents to trusted geospatial data. - BigQuery: Enables agents to interpret schemas and query enterprise data securely. - Google Compute Engine (GCE) & Google Kubernetes Engine (GKE): Empowers agents to autonomously manage infrastructure and container operations. This is a critical step in making agentic AI easier to build and more powerful for everyone. Read the full announcement to learn more about our commitment to building the best ecosystem for AI to thrive. #GoogleCloud #AI #AgenticAI #MCP #Developer #MachineLearning #API
41
-
Fernanda Franco
Google • 2K followers
From new generative AI models for media on Vertex AI to transforming your ideas into a full-stack app in minutes with Firebase Studio powered by Gemini 2.5, here are the highlights of the key announcements and updates shared from Google Cloud at #GoogleIO. https://google.smh.re/4xb-
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content