🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.
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🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.
Exploring HTLF's Shift to AI with Informatica IDMC
informatica.com
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🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.
Exploring HTLF's Shift to AI with Informatica IDMC
informatica.com
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🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.
Exploring HTLF's Shift to AI with Informatica IDMC
informatica.com
To view or add a comment, sign in
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🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.
Exploring HTLF's Shift to AI with Informatica IDMC
informatica.com
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🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.
Exploring HTLF's Shift to AI with Informatica IDMC
informatica.com
To view or add a comment, sign in
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🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.
Exploring HTLF's Shift to AI with Informatica IDMC
informatica.com
To view or add a comment, sign in
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🏦 Learn how HTLF transformed its data strategy with Informatica IDMC, reducing costs, enhancing data reliability, and enabling advanced AI-driven banking services. Hear more from Brad Enneking, CIO at HTLF.
Exploring HTLF's Shift to AI with Informatica IDMC
informatica.com
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Oracle’s Golden Gate offers AI governance with Informatica 🚪 Tune in with #theCUBE at #InformaticaWorld, as we hear from Oracle’s Neil Mendelson on opening the Golden Gate interface for Informatica to ensure AI governance and visibility. “In order to get AI, you need governance and functions. That's true not only for analytics, but for real-time data as well. One of the recent things that we did with Informatica was we opened up our Golden Gate interface,” shares Mendelson. “Now, we have the ability to manage Golden Gate metadata along with your other metadata from around the world, other vendors, and so forth into Informatica’s IDMC. We can bring that governance not just to the analytical workloads, but as you may know, Golden Gate is the infrastructure behind banking and governments around the world. We need to bring visibility into that, not just the analytics side,” he adds. 🔴 Follow our conference coverage: https://lnkd.in/g9CPpc-r #LiveNews #EnterpriseTech #CXOtrends
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In this blog, we explore several IBM Z data access methods; what differentiates Lozen from them; and how Lozen can work in tandem with existing methods to transform data access in a way that best suits your organization’s business needs. https://lnkd.in/eW-N_nqq
Lozen vs Legacy Data Access Approaches | VirtualZ Computing
https://virtualzcomputing.com
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Discussing Informatica’s rich metadata knowledge graph 📊 At #Supercloud7, #theCUBE spoke with Gaurav Pathak, VP of product management AI and metadata at Informatica, to discuss how its metadata knowledge graph helps developers. “Players have changed, but that stack, moving the data from raw data to processed insight has remained quite similar with a metadata knowledge graph. We are looking at triples and the relationships between individual metadata objects,” shares Pathak. He continues, “We collect technical business, operational usage, metadata about data assets and information like schema and structures of what this data looks like in source systems before it’s moved into those systems. We look at how that pipeline was created, what are the transformations, how are all of these things related to each other? “Having that triple and metadata knowledge graph allows you to now start doing both human wise and AI wise and intelligent queries to the data ecosystem itself,” he concludes. 📺 Watch the full discussion: https://lnkd.in/ggAzahGU
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