Generative AI and data presentation with Tufte

Would data catalogs evolve with AI? One of the primary functions of a data catalog today is discoverability. Data producers carefully organize datasets, and consumers rely on that organization to find what they need. But in a world where LLMs and chat-based interfaces dominate, things may shift. If I can simply ask an AI a question and get an answer— 1. Would I still open a catalog to search for datasets? 2. Would I browse lineage graphs? 3. Or would catalogs primarily serve as ground-truth sources that power RAG systems behind the scenes? Perhaps in this new paradigm, only data producers will interact directly with catalogs, while consumers depend on an LLM as the interface layer. Curious to hear your thoughts, how do you see the role of data catalogs evolving in the age of LLMs? #dataengineering #datacatalogs #data

There’s a growing debate about whether large-scale AI projects can justify their costs. Training and running advanced models like ChatGPT takes huge resources. But if revenue doesn’t keep up, the model becomes hard to sustain. This isn’t about technology failing. It’s about strategy. Are we chasing scale for the sake of it, or building solutions that deliver real value? Many organisations are now focusing on practical AI, smarter data use, efficient deployment, and clear ROI, rather than costly experiments. This will be a major topic at Big Data & AI World London. How do we balance ambition with economic reality? How do we innovate without overspending? Join the conversation and explore what’s next: https://shorturl.at/Up6vm

AI hasn’t just entered in data science it’s rearranged the entire structure! From automation to intelligent visualization, discover 8 ways AI is rewriting the rules of data science. Read more https://bit.ly/4kLmW3x #USDSI #DataScience #AI #ArtificialIntelligence #MachineLearning #BigData #PredictiveAnalytics #DataAnalytics #TechInnovation #AIinDataScience #FutureOfData #DataDriven #TechTrends

✨ Intelligent Data Ingestion for Smarter AI At Hengtian, we’ve perfected the art of contextual chunking to handle diverse formats like PDFs, long-form reports, and structured databases. But we go beyond the basics — our semantic fragmentation engine creates permission-tagged knowledge units that preserve context while embedding granular access controls. The result? Complete, authority-aligned insights rather than fragmented noise. Stay tuned as we unveil how we’re redefining AI with next-level data management. #Hengtian #RAG #DataManagement #AIAgents #AISolutions

Back again with another episode of #DataDetective and we're diving into why Analysts are already primed to be the AI superhero at their organization. In this episode, I'll share why the semantic layer is the missing link that turns #AI into real business value. You’ll see how to think about capturing definitions, guardrails, and context so AI answers are accurate, consistent, and trusted. What even is a semantic layer? Where should it live... tool or data warehouse? What role can analysts play in this shift? My goal is to dive deeper into this topic so stay tuned. I hope it ignites someone to raise their hand and own the semantic layer within their reporting or data stack! https://lnkd.in/gGyr-6Ac

We now can use Data Wrangler with AI functions to generate code for automatic bucketing and anomaly analysis on the data 🥳 #FabConEurope25

Over one-third of CFOs believe that data quality inhibits the use of AI in finance. Learn how effective finance data and analytics governance builds trust in AI and supports better business outcomes: https://gtnr.it/45MOpww #GartnerFinance #Data #Analytics

AI-Driven Data Analysis → Offer insights using AI tools like DataRobot. A small firm increased revenue by 30% with AI-driven decisions.# AIFORMONEY#

10 Ways to Put AI to Work for Your Business Curious what GenAI can reveal in your data? Discover the insights you need to gain a competitive edge: https://lnkd.in/dD89cPVy

Fantastic presentation by Michael Segner at the Data Science Connect Align AI Executive Summit in Boston yesterday! 🔥 Michael shared why the path to trusted, scalable agents doesn’t start with model tuning — it starts with end-to-end data + AI observability. 👀 Want to learn more? Check it out here: https://lnkd.in/eyn9x7wh #AlignAI #observability #dataquality #AIquality #Agents #datamonitoring #datascience #CDO #CDAIO