ORI’s Post

Data Maturity: The Foundation Your Business Needs Before Embracing "AI" Ever been pulled into a meeting with the C-suite where they’re excited about an article on how some company is using AI to revolutionize everything? They want it now—real-time, end-to-end AI. But often, these articles are more vendor hype than reality. As data professionals, we know that implementing AI is rarely about simply "adding AI." It’s about understanding where your company stands in its data maturity journey—from basic descriptive analytics to advanced prescriptive insights. Traits of Mature Data Companies: - Data Accessibility: Are your data sets easy to access, or do engineers spend months preparing data just to make it usable? - Data Integration: Can your systems talk to each other, or are you working in silos that stifle insights? - Governance: Do you have the right processes in place to manage data access and standards? People, Processes, and Technology: Mature data practices aren't just about having the latest tech. They require skilled people, thoughtful processes, and the right technology to drive results. For a deeper dive into data maturity, check out this article: https://lnkd.in/eKM9NF8d #IA #DataEngineering #AIMaturity #BusinessIntelligence #DataMaturity #MachineLearning

Building a data operating model for success in the GenAI era. Scaling an #AI strategy goes beyond technology; it demands a robust data strategy and operating model to orchestrate processes, people, and the tech stack. It also involves prioritizing business data domains, ensuring data governance and compliance are aligned with business objectives. More in this engaging article by #McKinsey.

William Flanagan, director of data and analytics, OpenSky, tells the Public Services 2024 conference about a practical roadmap to execute your generative AI strategy. He outlines six steps for an organisation to take to put together a generative AI strategy: 1. Setting clear objectives; 2. Stakeholder engagement; 3. Putting data governance first; 4. Start small but with a clear impact; 5. Have risk assessments at all levels; and 6. Create a phased roadmap. #PublicServicesIRL

"That is why a data management and governance strategy should be part of any operating model for gen AI." Good article from McKinsey on how to scale gen AI (Enterprise AI). Operating model & strategy. Centralised, decentralised or federated? Governance is key to make any operating model work. Most organisations generally lack control on how your 1st party data may be used, what code/packages can be run and how large your team may grow. But these problems are not exclusive to the GenAI journey - you need to have a strong data foundation for all workloads and data types. #genai #aidatacloud #data #enterpriseai

Informatica gathered insights from 600 Chief Data Officers to help shape your AI strategy to drive meaningful business results. Read below as Nathan Turajski, in partnership with CDO Magazine, shares how top data leaders are preparing and what their key considerations are to be ready for 2024.

🚨 Last Call! Today at 11 AM PT / 2 PM ET, don’t miss the chance to hear from Souvik Das (CTO/CPO at Clearwater Analytics) and Saket Saurabh (CEO at Nexla) as they dive into how to unlock AI success through a solid data foundation. Here’s what you’ll learn: -> Empowering teams with data democratization -> Building scalable, governed data foundations -> Taking AI & GenAI projects from concept to production Join this must-attend session to uncover how industry leaders are tackling technical, talent, and governance barriers to deploy impactful AI and GenAI solutions. Sign up now: https://lnkd.in/gF9dva6k #AI #GenAI #DataIntegration #DataGovernance

🤖 Are you harnessing the full potential of AI and GenAI in data governance? In this insightful blog post, Michiel De Keyzer reveals 8 game-changing ways how it can elevate your data governance journey. #GenAI #PwC

🤖 Are you harnessing the full potential of AI and GenAI in data governance? In this insightful blog post, Michiel De Keyzer reveals 8 game-changing ways how it can elevate your data governance journey. #GenAI #PwC

Data as the foundation of GenAI. The ability of a business to generate and scale value from gen AI models will depend on how well it takes advantage of its own data ensuring data quality and focus on unstructured data to fuel the models and products. Here link to the McKinsey article: https://lnkd.in/eb2Eu7vg #data #foundation #genai #dataquality #datamanagement #unstructureddata

AI Data Agents from the wizards at #GoogleCloud are transforming data engineering teams. These intelligent agents help teams discover and prepare data faster than ever before, accelerating insights delivery to businesses from weeks to mere hours. Dive into the new world of AI Data Agents through the VentureBeat article linked below. #agenticsystems Let me know for which use cases your organization might find data agents most helpful. 🔗 Article Link: https://lnkd.in/gGNWV8bs