SignalFire

Big news! Snowflake has announced a strategic investment in Anomalo- signaling that data quality is mission-critical for enterprises looking to unlock the potential of data and AI. This is a testament to Anomalo’s unique approach. Built specifically for the enterprise, our AI-powered approach to data quality monitoring goes beyond rules and basic data observability to automate data quality at enterprise scale. We’re building the future of data quality at Anomalo, with data quality across both structured and unstructured data to support all data teams and all data use cases from Analytics, ML, and Generative AI. With Snowflake by our side, we’re excited to continue building a more data-driven world: https://lnkd.in/gbEvbFsi

In San Jose for NVIDIA GTC Conference? Join me for an exclusive Agentic AI Founder & Developer Dinner with BAG Ventures, Tensor Ventures, SignalFire, and Citizens Bank. ?? If you're a founder building Enterprise AI Agents, comment AGENTS below, and I'll DM you the RSVP. Space is limited.

Exactly 1 week to go till #GenAI4Pharma: #SanFrancisco — part of the global event series that showcases the application of #GenerativeAI for the #BioPharma industry, across the value chain — from R&D to Clinical to Commercialization. ????Date:?Wednesday, March 19th, 2025 ? Time:?2:00pm - 5:00pm PT ??? Venue: SignalFire (501 Second Street, San Francisco) ?? Registration: https://lu.ma/pharmasf Join us on March 19th to meet and hear from biopharma #executives, Gen AI #startups, #investors and #innovators who are transforming the biopharma industry with Generative AI. Our featured sessions include: ? Harnessing AI Models to Drive Business Value in Life Sciences ? Unlocking the Potential of AI in Life Sciences ? Data & Infrastructure for AI-Enabled BioPharma ? The Power of Gen AI in Decentralized Trials AGENDA: #KeynoteSessions: ? Opening Remarks — Shwen Gwee (Founder & Host, #GenAI4Pharma) — Sooah Cho (Partner, SignalFire) — Gareth Sessel, MD, MS (EE) (Amazon Web Services (AWS)) ? Harnessing AI Models to Drive Business Value in Life Sciences — Max Garcia (Amazon Web Services (AWS)) — Jacob Rinaldi (NOETIK) ? Unlocking the Potential of AI in Life Sciences — Shwen Gwee (Founder & Host, #GenAI4Pharma#GenAI4Pharma) — Catherine Blanchette (Sanofi) — Anita Modi (Peer AI) — Karthik Raman, PhD (Persist AI) ? Data & Infrastructure for AI-Enabled BioPharma — Sooah Cho (Partner, SignalFire) — Aman Bhandari (Vertex Pharmaceuticals) — Erik Duhaime (Centaur Labs) — Fergus Chan (Specie Bio) ? The Power of Gen AI in Decentralized Trials — Shwen Gwee (#GenAI4Pharma) — Gaelan Ritter (Bristol Myers Squibb) — Tyler Pugsley (Medable, Inc) #StartupShowcase ? Citizen Health — RWD, R&D, Clinical ? Prudentia Sciences — R&D, BD ? Grove AI — Clinical Register now, as space is limited: https://lu.ma/pharmasf. Brought to you by: SignalFire, Amazon Web Services (AWS), Medable, Inc NOTE: #GenAI4Pharma is a production of Health Disruptors Inc. For more information about the global event series, please visit: https://GenAI4Pharma.com.

9 months ago Color partnered with University of California, San Francisco to bring world-class cancer expertise to everyone. To achieve this, Color designed a novel architecture that safely integrates GenAI into clinical practice. We call it a “Large Language Expert” (LLE). We developed the LLE architecture to overcome challenges that prevent the use of GenAI in clinic (hallucinations, clinician trust & control, clear logic flows, etc). The big idea The Color team’s big idea was that while LLMs enable a huge step forward for some tasks, they are the wrong tool to embed clinical decision logic. Clinical decision logic is complex, constantly evolving and non-convergent (i.e. each system makes variations). This led us to the LLE: merging of machine learning with expert systems. How it works Rather than treating domain logic as “knowledge” that should be assimilated into a model, we created a framework to formally structure logic in a way that can be unambiguously understood by LLMs - and then use LLMs as a reasoning runtime. This enables applications that are reliable, but benefit from the flexibility of LLMs (eg. dealing with the mess of unstructured health records). Machine Learning meets Expert Systems We discovered that LLMs and Expert Systems are fantastically complementary. Expert Systems never worked because they forced a rigid structure that tried to turn all concepts into code. Historical attempts turned into an ocean-boiling mess that became too complex to manage. Instead, LLMs allow us to create a “bubble of consistency” specific to the task at hand. The world can stay messy now that we have an amazing toolset (LLMs) to map the messy world to specific criteria that drive a given task. But isn't this RAG? No - here’s why...? In RAG, you inject information into the context of LLM prompts that is absent or under-represented at training-time. In an LLE application, rather than operating on raw content, we pre-process it through a pipeline that translates content into LLM-optimized, structured chains of logic. In a way, the LLE architecture makes RAG declarative. We toyed with calling it DRAG, but thought LLE sounded better :). Fantastic Results We applied the LLE architecture to build guideline-based cancer treatment workflows. This approach yielded important results: - Accuracy: The accuracy of the system across complex tasks was amazing (>95% accuracy across >12,000 decision factors). - Clinician Experience & Trust: It created a transparent and controllable experience for clinicians. A task that normally takes over an hour goes down to ~10 minutes. - Development Efficiency: We did this work with a small team that was able to rapidly build an efficient and reliable system. Updates and improvements were simple and straightforward to make compared to a black-box machine learning. Read More Blog post: https://lnkd.in/gQbyfhH7 White paper:?https://lnkd.in/gf6v6gY7

I’d bet my career on Grow Therapy and CodaMetrix, and I'm glad Business Insider agrees! Congrats to Hamid Tabatabaie, Jake Cooper, Alan Ni, and Manoj Kanagaraj, MD! It’s been so fun partnering with you from the earliest days and seeing this well deserved recognition makes me smile. https://lnkd.in/gJc8vS6t