Christopher Finlan

Informatica's GenAI assistant for data management is now GA💥 This will be an ideal case study for the risks and rewards of domain-specific GenAI. The rewards: more productive data teams, more accurate and more timely data to drive analytics. The risks: hallucinations, PII exposure, broken data pipelines. Informatica comes at this from a point of strength - broad portfolio, deep installed base, lots of metadata to train GenAI language models. Gaurav Pathak gave a compelling introduction and demo here at Informatica World. The stakes are high. Check out this article by Eric Avidon of TechTarget to learn more. Excerpts below. https://lnkd.in/gkrb3eRd "Informatica unveiled Claire CGPT and the low-code/no-code development interface during Informatica World, the vendor's annual user conference in Las Vegas. "Now, Claire GPT is generally available while the and the low-code/no-code development interface is in preview. Both make it easier to use a platform that plays an important role in helping organizations manage and operationalize data and are therefore significant, according to Stephen Catanzano, an analyst at TechTarget's Enterprise Strategy Group. "Kevin Petrie, an analyst at BARC U.S., noted that Claire has enabled data teams to prepare and govern data with automation, AI and metadata since it was first released seven years ago. Claire GPT builds on Claire's capabilities. "This announcement extends the role of GenAI within Claire -- a vision they articulated last year -- by using a natural language interface to handle commands that previously required mouse clicks or manual scripting," Petrie said. "Beyond addressing ease-of-use and productivity like many generative AI assistants, Claire GPT has the potential to be more accurate than some other natural language tools given Informatica's access to metadata, he continued. "Informatica's extensive installed base gives it a rich metadata repository on which it can train and fine-tune GenAI language models," he said. "This differentiates Informatica because they can produce models that are less likely to hallucinate, expose sensitive data or cause other governance issues." "Petrie, however, cautioned that although the low-code/no-code interface for generative AI development is compelling and addresses a real need, trained experts will still need to be involved in the application development process. "The tool will still require expert human oversight," he said. "Data engineers, data stewards, or business-oriented data consumers will need to carefully inspect the quality of outputs they get from these language models before they put anything into production. "The caveat of data democratization [is that] you still need … experts to ensure the artifacts and data outputs are trustworthy." Shawn Rogers Timm Grosser Ankur G. Sarath Chunchu Suresh Thottempudi #data #genai #informaticaworld

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In PowerBI, show the count of active projects in a month https://lnkd.in/gfKYNXYg #powerbidesktop #powerbi #datamodelling #dax #powerpivot #microsoftexcel #msexcel #excel

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Here is the crux Liquid Clustering, now GA, manages the layout of your data, automatically choosing the clustering key and providing the flexibility to redefine clustering keys without data rewrites! This allows your data layout to evolve alongside analytic needs over time and replaces table partitioning and ZORDER so you no longer have to fine-tune your data layout. Predictive I/O, also known as "Indexless Indexing", gives you the performance of indexes but without requiring the creation or overhead maintenance of indexes. . This enables predictive I/O to support a much wider set of workloads. Intelligent Workload Management uses machine learning models to optimize serverless SQL warehouses resources to best support high-concurrency. Predictive Optimization, now GA, automatically handles the typical maintenance operations for tables that help optimize performance. This quad has propelled it way ahead of competition. Adding support for Iceberg with Tabular another feather in the cap. #iceberg #predictive #aimlmodeling

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I love the fact that I get to share super technical information in incredibly fun ways. How do I do it? I'm glad you asked ... in this post I used an analogy of a very old childhood game, Hungry Hungry Hippos, to illustrate how end-users can be "information hungry" and how Qlik can be used to satisfy those needs. If you take the time, here is what you will get out of it: ● Learn about the IntervalMatch function in Qlik 💡. This function can be used to solve various use cases, including staffing and financial accounting. ● Discover how to create a master calendar in Qlik 📅. This can be a valuable tool for analyzing time and attendance data. ● See how to join data from different tables in Qlik 🔗. This is a key skill for any Qlik developer. ● Learn how to avoid Cartesian joins 🚫. These can be a performance killer in Qlik. https://lnkd.in/gnpbrH88

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This one was some work. Of the 3 electives in the CTO program, this one required the most time and effort but was well worth the price of admission. I really appreciate the insights gained from the hands on approach and rigor of working with data in Excel (with analytics add-ins) to get an intro to the application of analytics in solving real business problems. Really well done module from Wharton Executive Education https://lnkd.in/e3MD-v5C

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Check out #PowerBI July 2024 Feature updates for what's out for the latest release.

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It's the Year End Review of ALL of the BIGGEST Updates that came to Microsoft Fabric in 2025. Join the conversation on YouTube and see if YOUR favorite was one of ours! #MicrosoftFabric #PowerBI Kevin Arnold https://lnkd.in/g6HuUaUG

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Big Changes Ahead for Power BI Users! With Power BI Premium SKUs retiring in 2025, organizations must prepare for the migration to Microsoft Fabric. Are you ready to embrace the next generation of advanced analytics? Explore how to transition seamlessly and feel free to reach out if you have questions. #MicrosoftFabric #PowerBI #DataMigration #MicrosoftPartner

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HOT NEWS: The Fabric September and Power BI September videos are out! Fabric: https://lnkd.in/g2smHGKs PowerBI: https://lnkd.in/g47bdgEa I'll add some comments below once I've watched them! #MicrosoftFabric #PowerBI

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Do you also hate to wait for a cluster to start when working with #Databricks notebooks? Now you can use #serverless compute and start developing instantly! I am sure, data scientists would love it. Databricks has recently announced General Availability for the feature. Until October 31, 2024, you get a 30% price reduction on serverless compute in notebooks. Now it is a great moment to try it out! If you, like me, do not like using notebooks, you can also use serverless compute in Databricks connect (currently in Public preview): https://lnkd.in/ejfGzmsg I will try it out in the coming weeks and let you know what I think! Have you tried it already? #machinelearning

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📢 IN A FEW MINUTES - Join Alex Barbeau and I next TODAY Friday May 17th @ 9:30 AM (PT)! 🧱 Are you working with Power BI, and your organization is using Azure Databricks, but you don't know where or how to start using an Open Data Lakehouse? 🔎 In this demo focused presentation, Alex Barbeau will show practical tips and tricks for Power BI admins and developers to get started and succeed in using Databricks. ℹ️ From how to login to Databricks, the differences in Warehouse types, how to interact with the Hive Catalog and Unity Catalog, you'll leave this presentation with the information you need to get started on Databricks from Power BI. #PowerBI #Microsoft #Fabric #Azure #Databricks

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#PowerBI DirectQuery, gateways and SQL queries that return lots of rows

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long awaited feature of incremental refresh is now available in public preview #Fabric #Dataflow #PowerBI For more details follow the blog related to Incremental Refresh in Dataflow Gen2 https://lnkd.in/g5YDeW4B

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Have any of my BI friends used the Power BI visuals Decomposition Tree or Key Influencers in models/reports used for inventory (the kind of inventory that companies use to store things, such as materials they buy or the goods they sell) data analysis? If so, would you be willing to share ideas with me? I have a hunch that we can add some very nice insights to our Power BI apps on this topic for Dynamics 365 Business Central but could use a hand to get my brain started. This is what we currently offer in Business Central https://lnkd.in/dz43Mjck Short link is aka DOT ms/bcInventoryAnalytics (replace " DOT " with ".")

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Happy 2025! If you're looking to kick off the new year by leveling up your data initiatives, don’t miss our latest episode of #FabricThreads. We cover some of the most impactful features you’ll want to leverage in the year ahead: → Write-Back to Fabric Databases With #PowerBI → Fabric Databases Powered by #SQL Server → Real-Time Intelligence GA → Preview of #Copilot in Power BI Mobile Apps Tune in to listen to the full conversation: https://loom.ly/NMhVW6k Excited to make 2025 the year of smarter, more impactful data strategies!

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If you were AI, how would you reach your full potential? Qlik's Brendan Grady and Sam Pierson joined an episode of 'Six Five On the Road' at #AWSreInvent with The Futurum Group. Learn about the pivotal role of data quality and open architectures in realizing the full potential of AI technologies within organizations. Watch here.

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