Putting Enterprise AI to Work
Find the full podcast interview here: https://youtu.be/c95B1arxZlU
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Unlock interoperability with Fivetran Managed Data Lake Service for Google's Cloud Storage
Load standardized, compliant data in open table formats from 700+ sources directly into Google’s Cloud Storage to reduce compute costs and increase efficiency.
Power up your BigQuery analysis with Google's new geospatial datasets
New geospatial datasets in BigQuery unlock powerful insights with Google Maps Platform and Earth Engine data.
EP 18 | Boring AI is Safe AI with Cal Al-Dhubaib
In highly regulated industries like healthcare and energy, a lot is at stake if an AI system “fails” – therefore leading to a higher risk of unintended consequences that could mean life or death. These high-risk environments can teach us a lot about responsible AI, practical guardrails, and best practices overall. One of those lessons? Make AI “boring”. To dive into what that means for highly regulated industries and beyond, we’re joined by Cal Al-Dhubaib. Cal is the Head of AI and Data Science at Further and founder of Pandata (which was acquired by Further in 2024).
Open table formats, catalogs, automated data integration, and the future of data lakes
How have data lakes evolved over time, and what do open table formats and catalogs mean for the future of data lakes? In this roundtable discussion, George Fraser, CEO and co-founder of Fivetran, and Dan Lynn, VP of Product for Databases and Destinations, share their thoughts with host Niamh O’Brien about the future of data lakes and how Fivetran is preparing for it. Key highlights;
Chopped: AI Edition - Building a Meal Planner
As a dad of two toddlers with very particular tastes—one constantly wants treats for dinner and the other refuses anything that isn’t beige—I view dinnertime at my house as a nightly episode of “Chopped: Toddler Edition.” Add early bedtimes and the need to avoid meltdowns (theirs and mine), and the meal becomes less about gourmet aspirations and more about survival. The goal? Walk away with everyone fed, happy, and preferably not covered in food.
Perforce's State of Open Source Report Reveals Low Confidence in Big Data Management
The report covers open source investment, culture, compliance risks, and other areas that hinder further open source usage.
5 Reasons Why Data Analytics Users Should Care About Data Products
One of the fastest-growing trends in the datasphere today is the development and use of data products. As we move deeper into 2025 and beyond, data product usage is going to explode. In fact, according to the Gartner 2024 Hype Cycle for Data Management, Data Products are currently at the Peak of Inflated Expectations, signaling strong interest and rapid evolution in this space. You can download the entire report here. The advantages and impact of this new paradigm extend beyond data engineers.
Mastering Cost Predictability: Forecasting and Budgeting Strategies for Databricks
Are you struggling to predict and control Databricks costs? You're not alone—accurate forecasting of cloud costs remains a significant challenge for 80% of data management experts (Forrester). Join us for this session in our Weekly Walkthrough series, "Controlling Cloud Costs," where we'll explore how to remove the guesswork from forecasting costs in Databricks. You’ll gain invaluable insights into transforming your approach to cost management from reactive to proactive. With Unravel's Data Actionability Platform, you can forecast costs precisely and take immediate action to optimize spending.
#shorts - Think you're catching all the spikes in your #data? Think again.
With Qlik’s Anomaly (Spike) analysis type, you don’t just see the obvious — you uncover the hidden outliers buried deep in your data. Just pick your measure and time field... ...and boom — hashtag#Qlik surfaces the real anomalies in seconds. You also get narrative insights showing biggest spikes. smallest drops and total anomalies. No guesswork. Just instant, actionable insight. Let Qlik do the heavy lifting — so you can move faster, smarter.