Digital & App Innovation Sales Lead ✦ On the mission to enable organizations to maximize their full potential by going digital
Many clients worry about the impact and costs of using AI. In a recent podcast with Mark Souza and Dev Nadgir, we gained insights into the challenges of scaling GenAI. Nadgir highlighted three ways to cut costs: 1. Simplify Interactions: Streamlining user interactions with GenAI can save money. By improving interfaces and workflows, companies can work more efficiently and reduce unnecessary steps. 2. AI Grounding: Ensuring GenAI models are based on real-world data prevents excessive computing power use. Focusing on relevant data and refining model training improves performance and reduces costs. 3. Use Multiple AI Models: Instead of relying on one big AI model, using several smaller ones for specific tasks can boost performance and save money. Choosing the right mix of models for different jobs improves results without overspending on computing power. 💡Great framework to tackle the cost challenge, empowering customers to fully harness the benefits of AI while managing expenses effectively! #azureopenai #costoptimization #responsibleAI
Welcome to the next episode of Let's Talk Tech. The short podcast that invites CTO(s), CIO(s) and CISO(s) from important companies across Asia to talk to us about the technology challenges, learnings and solutions that they encounter every day in their digital transformation journey with a heavy focus on Generative AI. This episode we are bringing in a Microsoft Chief Architect (Dev Nadgir) who has been working with GenAI for more than 2 years and has worked with many customers around Asia architecting Gen AI solutions to help them be more productive, be more agile and to accelerate their business. Today's episode will focus on GenAI Cost Optimization, a topice we are all interested in.#CTO, #CDO, #CISO, #generative AI, #Azure, #AOAI, #Microsoft Cloud. Ahmed Mazhari, Dev Nadgir, Willy Cho, Puneet Chandok,Andrea Della Mattea, Steven Worrall,Mayuri Agarwal,Imane Jamal Eddine,Sandy Gupta,Steven Miller,Salim Naim,Echo Jin
