Jamie Shepard’s Post

What a next few days HLTH USA Vegas, where the #payvider model will be the focus with tech representations throughout the health ecosystem. Looking forward to hearing the rapid main stage discussions from industry leaders such as Kimberly Powell to Leo Barella and all in between as we navigate this new innovative world of #genai where we get to hear from health tech and health enablers

Not only is HCLTech #superchargingprogress but we are also Super Charging Formula 1 with a 1…2 today in Austin, TX!!! Amazing job Scuderia Ferrari and congrats HCLSoftware Dario Debarbieri Kalyan Kumar (KK) ☁ Charles CABOURET 📱⌚️💻 💡He/Him/His

“Energized about The Power of GenAI”, thrilled to have been selected to attend a very special product launch on Oct 23rd for emerging foundation models based on Liquid Neural Networks. Liquid AI has invented new foundational algorithms that unlock a step function in terms of efficiency, greater explainability, and at the same time best-in-class performance. They have built the most capable AI systems to solve problems at every scale, such that users can build, access, and control their AI solutions. This is to ensure that AI will be meaningfully, reliably, and efficiently integrated at all enterprises. Excited to be part of this industry evolutionary event as well as to understand the benefits of embedding LFM’s into the ADLC chain

“Energized about the Power of AI”, as I continue my series of GenAI related topics, this past weeks meetings had me deeply thinking about the next wave of SDLC. Not the traditional approach to SDLC where the industry is embedding GenAI into that entire process, it has me now discussing completely new models that are addressing the ADLC model or Agent Development Lifecycle. I have posted in the past how I began my journey in IT from an applications development perspective which led to my founding my first business providing unique and proprietary application development services, I chose the name to incorporate as Syntax Systems in the mid-90’s which was acquired by International Computerware, Inc a few years later. When I entered IT the SDLC processes were evolving and I needed to do my homework on history to understand this shift and to ensure that I kept my firm as a relevant player in this space. I learned the following: 1960s - Waterfall Model 1970s - Structured Programming and Design 1980s - Spiral Model and Prototyping: The Spiral model, developed by Barry Boehm in 1986 1990s - Incremental and Iterative Models: As technology advanced, so did SDLC approaches. Models like Rapid Application Development (RAD) and the Rational Unified Process (RUP) emphasized shorter, more iterative cycles with an emphasis on user feedback and flexibility. 2000s - Agile and DevOps Since then, the SDLC has continued to evolve with methodologies such as Lean, Scrum, and Kanban, each contributing new practices that respond to changes in technology and business requirements. I have been through 3 decades of SDLC variations and have been instrumental in helping both my own firm and others evolve. With that being said, we are now embarking on an entirely new process that is unlike SDLC, it is ADLC. AI agents break all the conventional rules we’ve come to expect from SDLC . Traditional software is written in a programming language that is rule-based and deterministic, so the same input reliably produces the same output. Agents, in contrast, often include , and are goal-based and non-deterministic, producing dramatically different results, various understanding of prompts with different LLM’s It’s time to now embrace the ADLC frameworks and the beauty of my 3 decades of SDLC is having the understanding of how to effect pragmatic and rapid change in this process.

Great showing from a highly motivated team of LSH #techevangelists HCLTech. We are bringing forward new concepts of leveraging #liquidfoundationmodels for drug discovery, medical adherence and geo clinical trial data elements. All grounded and enabled by our AI Foundry models adoption, training, governance and ModelOps framework while leveraging AI Force platform

As we attempt to address the “data elements” within the enterprise by leveraging RAG, LLM/SLM, Vector DB and platforms vs open source build, we see many paths to enabling a data mesh “like” structure. I was honored in 2023 to receive on behalf of HCLTech the Denodo GSI Partner of The year award as we were among the first to address GenAI and near real-time data through data virtualization. Denodo allows GenAI models to access and query data in real time without physically moving or replicating it. This can significantly speed up the deployment of AI models, as they can immediately tap into various data sources without the latency involved in data movement. There is a virtual webinar showcasing this approach which is a must see

Evolving from being #cloudsmart to #cloudnativesmart

Hadas Bitran was great to see your virtual and excellent session. Very impactful for clinician led productivity. My goal is to always strive to free 45min a day for clinicians that could be 3 patient discharges and now with these capabilities they will be able to provide deep patient insights for more discharges. Savings across the provider/payor spectrum. All of our blessings go out to you and your family at this difficult time.