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Recorded Webinar

Securing AI Success: The Critical Role of MLOps

About the Webinar

95% of AI pilots don’t make it to production. The 5% that do don’t rely on luck — they are more operationally disciplined. 

Building AI models has become easier. But running them in real-world environments hasn’t. Issues like hallucinations, unstable pipelines, scaling challenges, and a lack of monitoring often appear only after deployment. They prevent promising AI initiatives from delivering real business value. 

So, what separates AI systems that scale in production from those stuck in pilot mode? 

Alakh Sharma and Ratnesh Parihar have the answers for you. Join them for a focused 45-minute session on making AI work in production. Learn why AI systems fail, where data and input layers break, and how to fix them early. Explore what it takes to build reliable systems at scale, design a strong MLOps foundation, and run Generative AI in production, backed by real-world lessons and practical tools. 

Who Should Attend?

This webinar is for professionals who want to build production‑ready AI systems: 

  • CTOs, Engineering Leaders 
  • Product Managers building AI features 
  • ML/AI Engineers 
  • Data Engineers 
  • Founders exploring GenAI adoption 
  • Anyone deploying AI to real users

Key Takeaways

  • Why AI systems break in production—and how to prevent it

  • Hidden data & input layer pitfalls that derail performance

  • Practical ways to identify and fix production bottlenecks

  • How to build AI systems that stay reliable at scale

  • What a robust MLOps architecture really looks like

  • Running Generative AI in production—without chaos

Meet the Speakers

member

Alakh Sharma

Principal Software Engineer-Data Science icon

Alakh Sharma is an alumnus of Indian Institute of Science, Bangalore. With deep expertise in reinforcement learning, machine learning, and natural language processing (NLP), he plays a pivotal role in helping businesses gain a competitive edge through AI adoption. Alakh is passionate about bridging the gap between cutting-edge research and practical implementation, enabling companies to turn AI into real business impact. 

member

Ratnesh Parihar

Principal Architect icon

Ratnesh Parihar is the Principal Architect at Talentica Software and an alumnus of National Institute of Technology, Surat. With years of experience designing large-scale architecture, he has helped organizations move from siloed, inconsistent datasets to AI-ready infrastructures that power real business outcomes. Ratnesh has led implementations across industries, from financial services to SaaS,integrating tools like Databricks, vector databases, and real-time pipelines to make AI adoption seamless and scalable. His approach blends technical rigor with practical business impact, ensuring teams not only deploy AI—but deploy it successfully.