The Classification Guru Ltd’s Post

On Wednesday 29th May (so, next week!) Susan Walsh - The Classification Guru, will be hosting a roundtable for Solutions Review on the Impact of Bad Data on GenAI, with Darshana Sivakumar from Databricks, and Millie Beetham from ZoomInfo. What you can expect: 💡 Why bad data is the problem 💡 How data experts help companies build a unified data foundation that fixes the bad data problem 💡 How this foundation can be leveraged to easily scale and use data + AI for GenAI If you want to join in on this fantastic discussion, you can do so right here on LinkedIn ➡ https://lnkd.in/e-3emib2

Discover why robust data foundations are essential for AI and what it means for data engineering. In this talk from Melbourne DataEngBytes 2023, Kendra Vant emphasises the importance of coherent and understood data to build engaging AI-powered products. She dives into who needs to participate, their blind spots, and how to build great things faster with less friction. Learn how threading data and AI through products can open new markets and create a differentiating moat. Watch the talk here: https://lnkd.in/gHXyxg_Q #dataengineering #deb2023

Should be a great session w/ one of our co-founders talking about a question most forward-thinking enterprises are asking. AI has the power to address the data warehouse’s biggest challenges — thanks to its deeper understanding of your data and how it’s used. Join us this May to hear from Reynold Xin, Co-founder and Chief Architect at Databricks, and find out how AI helps you build pipelines faster, automatically optimize performance and ask questions with natural language.

What would it take to automate an Analyst? That question isn't just about productivity. Thinking through each step of the process helps you identify the gaps that make data "so darn difficult". It's also these gaps that you need to invest in to leverage AI more effectively and maximize ROI. Part 1 of this series uses the day-to-day interchange with an analyst to speak about the foundational requirements of a data platform: - Question: "Do we have this information?" - Answer: Effective Data Capture - Question: "Are we sure this is accurate?" - Answer: Robust Data Quality - Question: "Where does this data point come from?" - Answer: End-to-End Data Lineage We unpack the layers here: https://lnkd.in/g42Xxqd2 What other conversations do you have with analysts that make them irreplaceable?

#Bigdata and #artificialintelligence have a synergistic relationship. #AI requires a massive scale of data to learn and improve decision-making processes and big data analytics leverages AI for better data analysis. Here is #Databricks #AIsummit which is great learning platform-how data, analytics, and AI solutions will be powered by Databricks Lakehouse Platform. https://lnkd.in/eapqP8pB

Struggling with making sense of Big Data? AI Context Hub is here to help! Gaining insights from separate sources of data can feel like an impossible task, but AI Context Hub, developed by Prodware’s AI team, is designed to tackle these challenges. Here are three common Big Data issues and how our platform solves them. What Big Data challenges are you facing? Share your thoughts in the comments and don’t hesitate to contact us to learn more about AI Context Hub 👉 https://okt.to/BUWVtM #ArtificialIntelligence #AIContextHub #BusinessIntelligence #ProdwareAIApps

[Global News 🌐] Akkodis Joins Forces with Databricks! We’re excited to announce our partnership with Databricks, redefining the smart industry with AI-powered solutions. From real-time data insights to seamless machine learning integration, this collaboration unlocks the full potential of data for smarter operations worldwide. 🔗 Discover more here https://lnkd.in/gFttn337 #Akkodis #SmartIndustry #AI #Data #Analytics #Innovation

Those that are struggling with #AIReady #datamanagement and how to utilize #activemetadata should log in and use this research! #metadata and how it is used is key to #AI and #GenAI transparency and utilization.

Don't get swayed by the shiny new tools, the whole world is at a PoC stage with AI. Focus instead on what you can do to hit the ground running. Your GenAI companion is only as good as your analyst can be with the data and platform you give it/them. Follow the page to continue with this thought experiment.

Did you know that you can transform the way you handle #BigData? By unifying multiple data sources and providing actionable insights, #AIContextHub makes it easier to extract valuable information. Reach out to us to find out how it works 👉 https://lnkd.in/edCeMYxR