🚀Take a deep dive into the world of data observability and how Acceldata is championing it. Rohit Choudhary, CEO and Founder of Acceldata, speaks with Mark Johnson, Chief Growth Officer at CoStrategix, in a video interview about his professional journey, data observability and its need, the relationship between AI and data observability, how data observability contributes to ensuring high-quality data for AI training and deployment, and model decay and how to prevent it. Choudhary states that while manual observability may have worked five or ten years ago, it is not feasible today. In the current scenario, organizations deal with hundreds of models, thousands of reports, and sometimes tens of thousands of ETL pipelines. To manage such a large and complex environment, he believes that observability will be at the core of how these intricate data and AI systems operate in the future. 👉 WATCH the interview here: https://hubs.ly/Q02RDL050 You can also find this episode on our podcast page! 🎧 LISTEN here - https://hubs.ly/Q02RDP5w0 #Leadership #DataGovernance #ThoughtLeadership #DataManagement Did you find this post relevant? Like it, share your views with the interviewee, and tag others who can benefit from it in the comments.👍🗨️
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🚀 Embark on the Final Episode: Finding a Way in the Data Labyrinth – Unveiling Traps and Charting Success! 🧭 In our recent Data Labyrinth blogs, we explored the complexities of data modernization, stressing its significance and offering insights on how to navigate this transformative journey. In the concluding episode, we unravel the hurdles: 💰 Budget constraints, 🔄 Shifting organizational culture, and 🔧 Navigating a maze of tools. Conquering the Data Labyrinth requires strategic planning and collaboration. 🌐✨ Assess, strategize, and seek expert guidance for a successful data transformation journey! 👉https://lnkd.in/eJuHUME3 #DataEvolution #AI #innovationinprogress #datamodernization #digitaltransformation #techinsights #businessstrategy Jan Claes Frédéric Robin Fernand HARY Marc Durante Severine Muller Nadia NAIR Sandrine CIPPONERI Pascal Loosveldt
Finding a Way in the Data Labyrinth – Episode 3
sogeti.lu
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Learn about the true power of data observability by tuning into the latest Data Hurdles podcast episode with hosts Christopher Detzel and Michael Burke! 🎙️ In this episode, they sit down with Kunal Agarwal♾️, the Co-founder and CEO of Unravel Data, to delve into the fascinating realm of data observability. The conversation explores the challenges faced by organizations in managing complex data environments and how Unravel Data is leading the way in providing comprehensive solutions. Listen now 🔗: https://lnkd.in/gjrnVNDh #Observability #DataOps #FinOps #Automation #AI
Unravel Data with Co-founder and CEO Kunal Agarwal: The Power of Data Observability
https://datahurdles.com
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⚠ Caution: you can’t unknow the known known you’re about to know about making unknown unknowns known. #EnterpriseAI #AnomalyDetection #DataAnalytics #DataOps #DataQuality #DataEngineering #DataObservability #UnknownUnknowns https://lnkd.in/dbAzw26C
AI uncovers data quality “unknown unknowns”
https://www.anomalo.com
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Data must be Known, Owned, and Honed. I just listened to podcast discussion between Martin Couturier, Director of AI Innovation at Sage Consulting and Marla A. Dans, data management and governance expert with experience at firms like JP Morgan Chase and Tradeweb. Here are my learnings from this podcast: • Crucial to gain executive support. • Focus on short-term, high-impact wins. • Avoid getting distracted by tools; prioritize business value. • Ensure top-down support for data stewards. • Implement end-to-end data quality programs. • Strong data governance is essential for AI readiness. • Focus on data quality, privacy, and security. • Ethical guidelines and unbiased models are critical. • Ensure data provenance and lineage for trustworthy results. This episode really underscored the importance of a comprehensive approach to data governance to unlock AI’s full potential. #DataGovernance #AI #DataQuality
🚀Learn about the two core pieces of a data quality program. Marla A. Dans, Head of Data Management and Governance at Chief Data Office, speaks with Martin Couturier, Director of AI Innovation at Saige Consulting, in a video interview about her journey, the importance of data governance, the three core components of data governance, the need for executive support, making the data governance function successful, adopting AI responsibly, and the top must-haves for responsible AI. Dans states that with the exponential growth of data and everyone wanting insights, data democratization is on steroids now. In this scenario, humans can no longer manage all the data, and they need AI. 👉 WATCH the interview here: https://hubs.ly/Q02JSkDF0 You can also find this episode on our podcast page! 🎧 LISTEN here - https://hubs.ly/Q02JSkFz0 #Leadership #DataManagement #ThoughtLeadership #DataStrategy Did you find this post relevant? Like it, share your views with the interviewee, and tag others who can benefit from it in the comments.👍🗨️
Humans Can No Longer Manage Data, They Need AI — Head of Data Management and Governance
cdomagazine.tech
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🔄 Has anything changed since the hype of 'Big Data' when moving into the Gen-AI hype? 🕰️ I have worked long enough with data to have witnessed the transformative waves from the 'Big Data' era to today's Gen-AI surge. Remember when 'Big Data' was heralded as the "new oil" or humorously compared to "teenage sex" (a comparison deemed acceptable in the early 2010s 🙈)? Advancing to the present, we find ourselves within the Gen-AI revolution, resonating with similar sentiments. 🛢️ First off, data was never akin to new oil. Oil reserves have always been finite, whereas data continues to grow in the 3 V's: volume, velocity, and variety. Despite these evolving stories, one constant remains: our fascination has always leaned more towards algorithms than the actual data. Yet, data remains the bedrock of innovation. In this light, Gen-AI technology can be likened to a power drill: a formidable instrument whose efficacy not only depends on the operator's expertise but also on selecting the right drill bit—the data it's trained on and its contextual application—mirroring the influence of machine learning algorithms in the era of big data. Is there truly nothing new under the sun... or is there? ⚔️ A significant shift lies in the democratization of pre-trained and open-source Gen-AI models, presenting a dual challenge. While this unlocks remarkable possibilities for everyone, it also reduces entry barriers, intensifying the challenge of preserving originality and innovation in the face of new competitors. Thus, the question emerges: How do we sustain a competitive edge? 🎯 The answer remains within the data - be it small, large, structured, or unstructured. Whether through retraining models with proprietary data or enhancing prompts with unique datasets, the goal is evident: to develop solutions that are unique and unparalleled, you need your distinct data. 🚀 Navigating this new era underscores the importance of a solid data strategy. It's about protecting not just the unique, structured data of the past but also the vast, unstructured data powering Gen-AI. 💬 Are you developing resilient, data-centric strategies for the Gen-AI era to ensure your data continues to serve as your competitive edge? #GenAIRevolution #DataAsTheNewOil #BigDataToGenAI #InnovationThroughData #AIForEveryone #AI #FutureOfDataStrategy
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Drowning in #UnstructuredData amidst the #GenerativeAI boom? 80% of an organization's data is unstructured, yet most data catalog solutions still focus on the structured side. With GenAI's rise, the stakes are higher for #CDO and #DataGovernance teams to not overlook sensitive data intelligence. It's time to adapt your #DataCatalog to embrace this shift. Start making sense of your sensitive and unstructured data today. Let's dive in: https://buff.ly/42KKnBr #DataIntelligence #SensitiveData #DataDiscovery #DataClassification #GenAI
A CDO's Guide to Unstructured Data in the Generative AI Era | Securiti
securiti.ai
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Big Data Days 2024 has concluded with incredible insights and major awards! 🎉 Don't miss out on the highlights and key takeaways from this impactful event. Read the full press release to catch up on everything you might have missed. 📖 Read here 👉 https://zurl.co/vBNJ #BigDataDays2024 #BDD2024 #BigData #AI #Conference #Innovation #EnterpriseBigDataFramework
Big Data Days 2024 Concludes with Awards and Industry Insights
https://www.bigdataframework.org
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🌐 Insightful read on the fundamentals that too often get overlooked! As we all get caught up in the buzz of AI and advanced analytics, it’s easy to forget the core principle: quality data management is what allows all that tech to deliver meaningful results. GeoInt’s article by Graeme McFerren and Brennan Walsh nails it—without solid data governance, even the most sophisticated algorithms can only do so much. The reminder of the “Garbage-In, Garbage-Out” principle is spot-on. No matter how advanced our tools get, they rely on the integrity and structure of our data. As we dive deeper into AI and geospatial intelligence, these foundational principles are crucial for driving impactful insights and accurate decision-making. Looking forward to more in this series on navigating the data seas! 🌊 #GeoAI #DataManagement #Geospatial #Insights #GeospatialIntelligence #DataMonetisation
🚀 In today’s world of #AI, data is the key to unlocking valuable insights—but only if it’s managed properly. 💡 In GeoInt’s latest article and lesson one in the series Navigating Data Seas, Graeme McFerren & Brennan Walsh dive into why foundational data management principles matter just as much as cutting-edge tech. From #datagovernance to the timeless “Garbage-In, Garbage-Out” principle, they outline what’s essential for accurate, actionable #geospatial #intelligence. 🌐 If your team is aiming to maximise the value of #locationbased #data, this read is a must! Check it out 👇 https://lnkd.in/dX_4xunj #GeoAI #DataManagement #Geospatial #Insights #GeospatialIntelligence #DataMonetisation #MapSTACK #BusinessStrategy #DataDrivenDecisions #BusinessGrowth
Why the Basics of Data Management Still Matter in a GeoAI-Driven World - GeoINT
https://geoint.africa
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🚀 Unveiling the Data Science Odyssey: Navigating the Life Cycle of Insights 🚀 Excited to share my latest blog! Dive into the stages of the data science journey, from raw data to actionable insights. Discover key tools, techniques, and best practices. https://lnkd.in/d2v9pPST #DataScience #BigData #MachineLearning #Analytics #DataDriven #TechInnovation #AI #Insights #DataLifeCycle #Odyssey
Unveiling the Data Science Odyssey: Navigating the Life Cycle of Insights 🚀
medium.com
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Interesting details on the importance of data for #aisuccess and also steps that can be taken to scale data and its quality using #genai itself! #mckinseyinsights
A data leader’s technical guide to scaling gen AI
mckinsey.com
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