Biztory

As AI evolves and integrates into various sectors, companies are increasingly leveraging its power in daily work. Good AI starts with good data. A strong data strategy is crucial for successful AI implementation and achieving business outcomes. This blog post guides you in preparing your data for AI by aligning data strategies with business goals, ensuring data maturity, prioritizing governance, unifying data, securing it, and turning it into actionable insights. https://hubs.ly/Q02Tdp6c0

Times are changing fast these days. The pace of innovation and transformation is hard to keep up with. Some say we’re in the midst of a Fourth Industrial Revolution - where AI, robotics, and the Internet of Things are transforming everything we do. The next wave of AI transformation has already begun... Here's how. 👇 Link to register for the webinar in the comments below.

🚨 Last chance to register! Don’t miss out on our webinar where industry leaders will unveil the future of data and analytics. Your data journey of 2025 begins here! https://hubs.ly/Q02RPC0M0 #DataTrends2025 #AnalyticsWebinar

The 2025 #IronViz Finalist results are here! 📣 Extremely proud to announce that Kathryn McCrindle will be on stage at #TableauConference in San Diego for the Iron Viz championship final. 🏆

A BIG congratulations to our very own Kathryn McCrindle who will be officially on stage at Tableau Conference 2025 as a 2025 #IronViz finalist! 💥🏆

As AI continues to evolve and integrates into various sectors, business applications, and different use cases, more and more companies are looking to leverage the power of AI in their daily flow of work. However, good AI starts with good data. The foundation of any successful AI initiative lies in its underlying data strategy. So, building a robust data foundation is essential not only for AI implementation but also for achieving tangible business outcomes. This blog post will help you prepare your data for the age of AI. It will show you how to build a solid data foundation for AI by aligning your data strategies with business goals, ensuring data maturity, prioritising data governance, harmonising and unifying your data, securing it, and finally, turning it into actionable insights with AI. https://hubs.ly/Q02Tdmgg0

🎙️ Data Labs Podcast: Episode 19 | On-prem vs The Cloud Learn all about the differences between on-premise & cloud data environments in our latest episode. From key features to infrastructure, security & more, we'll dive deep into both options. Listen on Spotify here: https://hubs.ly/Q02X3-Zn0

Explore six practical ways to create a data + AI activation strategy for your sales team. 👇 #DataStrategy #AI #GenAI #AIAgents #Sales #DataActivation

What are the 5 building blocks of an AI Agent? Learn more about #Agentforce and how to build your own AI Agents during our webinar on March 20. Register via the link in the comments.

👉 Moving AI Prototypes into production 👉 Natural language processing (NLP) 👉 Data as the foundation for AI 👉 Data as a Product (DaaP) 👉 Privacy & Governance 👉 Hyper-personalisation 👉 Cloud-first analytics 👉 Data Monetisation 👉 Edge computing 👉 Data activation Read all about the data trends to watch out for in 2025 in our latest blog: https://hubs.ly/Q02Tf2Wy0 #DataTrends #Analytics #DataCloud #GenAI #AI