CENTRL Inc’s Post

Abhimanyu Talwar, ML Head at Level AI explains how LLMOps practices are utilised at Level AI to solve multiple use cases like Sales Performance, BPO Management, and Compliance Monitoring. The discussion involves some in-depth discussions over cost considerations in GPU usage, Model Selection, and Training Approach. Having served as Vice President at both BlackRock and Nomura, Abhimanyu went on to establish several companies operating at the crossroads of finance and machine learning. 🔍 Key Takeaways: ⊙ GenAI & LLMops at LevelAI ⊙ Abhimanyu's perspective on data curation and the critical role it plays. ⊙ Unveiling QA GPT : Navigating Quality Assurance in customer interactions. ⊙ Abhimanyu's tips for those embarking on their GenAI journey. LevelAI's journey about models and algorithms explains the strategic application of GenAI and MLOps in real-world scenarios. 👥 Watch the conversation to get Abhimanyu's experience, and the work they are doing at LevelAi. 🌐✨ https://lnkd.in/g3ee5bbw Blog link in the comments #GenAI #MLOps #LevelAi #InnovationInAI #MachineLearning #DataScience #AIInBusiness #TechTalks #AbhimanyuInTech #LeadershipInsights

In my recent conversation with Abhimanyu Talwar, we discussed the work they are doing at Level AI. It was interesting to know how Abhimanyu has used his knowledge of finance and ML to derive multiple solutions. Check out the episode to get an in-depth discussion between us here: https://lnkd.in/giYQ3s-6

Interesting piece on the "6 things every CEO should know about GenAI" covering some fundamentals including how much data is needed, how to identify the right business problems to solve and more. #GenAI #digitaltransformation https://lnkd.in/gR7itDQU

I know it sounds like a cliche, but there has never been a better time than *today* to start a business. No technical capabilities? Use AI tools to build your MVP. It was never easier. No business capabilities? Use AI tools to research and build your GTM. It was never easier. #aiforbusiness #genai #gtm

How’s embedded AI revolutionizing the financial sector? It's all about making complex tasks simpler—a partner to crunch the numbers with. Our recent success story with Billingo is now up on our website! 👉 https://lnkd.in/dNNA_f-W Hiflylabs was founded upon data & ML projects in the IT, telecommunications, insurance, banking and financial industries, then continued on to offer data-driven solutions to the energy, entertainment, aviation, retail, e-commerce, agricultural and manufacturing sectors as well. Decades of experience carry us forward into this new era: Nowadays, embedded AI is transforming the way the fintech sector operates: From automating mundane tasks to providing deep insights through automated analytics. The difference between traditional ML and new methods? Read about them here, in my previous post: https://lnkd.in/dV4aC64W How is your business leveraging AI today?

Return on Net Assets (RONA) has become the telltale sign of smart management for industrialized businesses. It is one of the most reliable aspects of an organization’s report card. A good RONA simply says, “I took the same dollars in fixed assets that my peers have and managed them for value better than they did.” This applies to both industry peers as well as best-in-class firms that extend across industries. – George Danner The Executive’s How to Guide to Automation: Mastering AI and the Algorithm Driven Business Business-laboratory.com #operationsmanagement #ai #algorithm #modeling #optimization #artificialintelligence #businessleaders

“By offering a robust and independent benchmarking solution, we want to help the financial services industry make smart decisions about which models to implement for which use cases.” – Bhavesh Dayalji, Chief AI Officer of S&P Global and CEO of Kensho Technologies And they found that Claude Sonnet 3.5 performed best at Financial services use cases link to the blog in the comments

Piloting Gen AI is just the beginning; scaling it to achieve business transformation is a whole different ball game. One of the key pieces of this puzzle is having an effective API gateway that integrates correctly. This is especially important for use cases in regulated industries where security and compliance are top priorities. #genai #genaisecurity

Quoted in Computerworld's article on Box's upgrades to its Box AI solution. My key takeaway: the enhancements will be a welcome addition for Box customers and prospects already considering Box. However, organizations should first have an AI governance strategy in place to ensure that solutions like Box AI are utilized in appropriate contexts. Without such a strategy, disparate data pulling may create inconsistent outputs and an untrained workforce could become over-reliant on the outputs - combined, these factors will seriously impact the quality of business decisions made. ➡ Read more: https://lnkd.in/gJ93k-sY

Thanks to Suhas Motwani, we got to meet GenAI builders at the AI Horizons Roundtable and as you can imagine - getting RAG right was what a lot of conversation seemed to boil down to. Most of the enterprise use cases - think search, copilots, QnA chatbots, there is little generation that's required. If a user is asking about an HR policy, retrieval is the key. There is almost nothing that needs to be generated. And this is where retrieval becomes extremely important. In the last video, I spoke about why retrieval is a big problem. Let's now talk about how removing an LLM from the retrieval process is critical for solving for accuracy.