As AI adoption accelerates across industries, many organisations are realising that building a model is only the beginning. Real-world deployment of AI demands robust infrastructure, clean and connected data, and secure, scalable MLOps pipelines. In this panel, experts from across the AI ecosystem share lessons from the frontlines of operationalising AI at scale.

We’ll dig into the tough questions:

• What are the biggest blockers to AI adoption in large enterprises — and how can we overcome them?

• Why does bad data still derail even the most advanced models, and how can we fix the data quality gap?

• Where does synthetic data fit into real-world AI pipelines — and how do we define “real” data?

• Is Agentic AI the next evolution, or just noise — and how should MLOps prepare?

• What does a modern, secure AI stack look like when using external partners and APIs?

Expect sharp perspectives on data integration, model lifecycle management, and the cyber-physical infrastructure needed to make AI more than just a POC.

Artificial Intelligence is transforming the world of analytics, but how much of the job is changing? In this episode, we explore the AI-powered future of analytics: real-time insights, smarter Business Intelligence (BI) tools, and how Excel is turning heads with ChatGPT integration. Will AI replace analysts or supercharge what they already do best? Ravit Jain, Founder of the Ravit Show, will dive into what's staying the same, what's evolving, and what you need to know to keep up. Discover how AI is revolutionizing analytics, from real-time insights to the future of BI tools and Excel's new ChatGPT capabilities. Stay ahead of the curve— uncover how you can thrive in the AI-powered future of analytics! What You'll Learn: How AI-powered Excel is simplifying data wrangling and reporting. What parts of an analyst's role are evolving, and what core skills will always matter. How you can future-proof your analytics career in an AI-driven world.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Interested in learning more from Ravit? Check out The Ravit Show!    Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Nowadays, it seems like lots of people want to become data influencers and content creators. Ravit Jain and I chat about how to build an audience, the power of LinkedIn, and much more.

The Ravit Show: https://theravitshow.com/

LinkedIn: https://www.linkedin.com/in/ravitjain/

Why is the Data Scientist role called the sexiest job of the 21st century? I believe it’s partly because the data science profession is constantly evolving to include new data types, new tech and tools, new modelling techniques along with an increasing ability to drive customer and business outcomes with data. The main challenge for data scientists becomes one of bandwidth. Great data scientists are highly intelligent, technically proficient, curious and creative, but even so, the world of data science is evolving too fast for most individuals to keep up with. I recently spoke with Ravit Jain to understand how data professionals stay relevant and connected to the fast-paced world of data.   Ravit is a true servant leader who has built a global online community of data lovers. Through his work as a book publisher, podcast and vlog host, content curator and conference organiser he helps hundreds of thousands of data professionals learn new skills, share knowledge and connect with each other. In this episode of Leaders of Analytics, we discuss what’s hot in data, including: How Ravit became passionate about the world of dataHow to build your career in dataThe most important trends and topics in data today and the futureThe traits that make some data science leaders stand out from the restWhy Ravit’s first advice for aspiring data professionals is to start networking with others in the industry, and much more.