Everest Group’s Post

Join Everest Group's Suseel Menon to discover how #AI revolutionizes #data analysis, and drive results. Learn how to build a winning data strategy for the next 25 years and beyond, tackle AI Challenges, and navigate data privacy & security with Responsible AI. Who should attend? ⚡Data leaders and decision-makers ⚡Business executives looking to leverage AI for a competitive edge ⚡IT professionals responsible for data infrastructure ⚡Anyone interested in understanding the future of data and AI Learn more and register: https://lnkd.in/dNsbunV3

🚀 "Data maturity is not just a technical requirement; it is a strategic imperative for enterprises seeking to unlock the transformative potential of AI. By addressing the critical challenges associated with data maturity, enterprises can pave the way for a future shaped by data-driven insights and AI-powered innovation."💡 ✨ This article https://lnkd.in/eVTGHigE by Oleg Royz is a good read as a reminder to strengthen your organization's #DataGovernance this year as we navigate GenAI. #WhyAlex #DataLineage #DataGovernance #CatalogofCatalogs #BusinessGlossary #BusinessIntelligence #DataQuality #DataPrivacyandSecurity #DataRiskandCompliance #MetadataManagement

It wouldn't be 2024 if I didn't record a webinar on AI with amazing Michael Schrage: "The Innovator’s Take:  Selvesware, AI, Enhanced KPIs, and The Future of Advice". Michael is a Fellow at Massachusetts Institute of Technology and the author of numerous books and advised numerous companies like Microsoft, Procter & Gamble, bp, Google. We will discuss how AI-powered: * KPIs can continuously learn and improve an organization’s growth * Data-curation can drive both insights and security in the future * Recommendation engines will shape the future of self-improvement * Security ratings and communicating risk to the Board. It will be airing on June 27th - don't miss it: https://lnkd.in/eRA9s7mB #security #kpi #ai #automation #ciso

AI isn't a silver bullet and it's not a straightforward process to create value from your data - even with the arrival of some remarkable new tools. In reality, the path to unlocking value is far from simple. Behind the scenes, AI involves intricate data engineering and strategic planning. This encompasses a range of critical steps from sourcing and cleaning data to training models. Additionally, it includes navigating ethical considerations and ensuring robust security measures are in place. At Blue Margin, we can guide and support you on this journey. With our Managed Data Service (MDS), we help you navigate the complexities of AI, ensuring you have the data foundation in place to create value. Download our Guide to Data and AI: https://lnkd.in/grzJqPqw #GenerativeAI #DataAnalytics #BusinessIntelligence #AIdata #data

As part of my personal goals for 2024, I would like to continue sharing the knowledge I gained as part of my professional experience. I have made a two-part video on "Data Governance in Generative AI technology". In this video, I have covered topics about why Data Governance plays a very critical role in Generative AI technology and also about the 'data quality' pillar. In my next video, I will cover the remaining pillars of "Data Governance in Generative AI technology". Two of the primary goals of Data Governance are as follows: 1. Protecting consumer data (from a consumer perspective) 2. Building trust between a company, a product, and a consumer (from a company perspective) Based on my experience and learnings, I have defined the four foundational pillars of Data Governance in Generative AI technology (and explained them), which support the goals of Data Governance. They are as follows: 1.    Data quality 2.    Data security 3.    Model governance 4.    Human-in-the-loop Here is the link to the my second video on this topic: https://lnkd.in/gVKeZtvq Please feel free to leave a comment or provide feedback😊. #knowledgesharing #datagovernance #generatieveai #consumertrust #protectyourbusiness #protectyourdata

🛑 STOP tripping over messy data 🧹 See how BigID empowers organizations to minimize risk, ensure compliance, and streamline data for AI innovation. Success starts with data prep. 🤖 Swipe right to learn more and connect with an expert today: https://bit.ly/4b71n8M #BigIDAISecurity #AIInnovation #dataprivacy #dataprivacyweek2024

But the most insidious aspect of this trend is how it distracts from the real work that needs to be done. In my experience, the unglamorous truth is that most companies aren’t ready for AI — not because they lack consultants, but because they lack the fundamental data infrastructure and governance necessary for AI to thrive. https://lnkd.in/eFZh-7ja

One of my takeaways from the Collide conference the other week is that if you wait to start on AI until your data is ready (clean and accurate), you’ll never start. Many companies are spending huge amounts of time and money on nebulous data prep projects, but it also seems clear to them that they’ll never be "done," and that in most cases they’re not even able to answer the question “ready for what?” Once you've figured out basic data access and governance questions, it's time to start. You may be surprised by how much more robust modern AI methods are to messy data, and you'll be able to direct your data prep investments toward what's actually required for specific use cases. #CollideConference #Graft #AI

🗓 Join us for this upcoming SD Times webinar on February 20! Where KMS Technology, Inc. experts John Jeske and Jeff Scott explore the critical role of data integrity in the successful implementation of #GenAI: 🌟 Identifying and avoiding the common pitfalls in maintaining data integrity 🌟 Understanding how the quality of your data directly influences GenAI outcomes 🌟 Practical strategies for preparing and cleansing data to optimize GenAI performance 🌟 Implementing a holistic, company-wide approach to data integrity ➡ Grab your seat: https://lnkd.in/dvE-4684 #generativeai #AI #data

I could not agree more. Numerous studies speak to the risks companies can face when making decisions based data that is inaccurate, incomplete, or subject to misunderstanding or misinterpretation.  In some cases, those decisions have led to catastrophic results.  As our dependence on AI grows, it is imperative that we exercise greater diligence in ensuring the quality of data used to train those AI systems.