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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. AI product estimation strategies. If you are still figuring out your analytics strategy, you are fighting the last war. AI doesn’t fit that model.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. You need to determine if you are going with an on-premise or cloud-hosted strategy. You want an organization-wide buy-in of your business intelligence strategy.

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Data Governance Maturity and Tracking Progress

erwin

erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Beginning strategy processes. You’ll also see a demo of the erwin Data Intelligence Suite that includes both data catalog, business glossary and metadata-driven automation.

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Try semantic search with the Amazon OpenSearch Service vector engine

AWS Big Data

We’ve put together two demos on the public OpenSearch Playground to show you the strengths and weaknesses of the different techniques: one comparing textual vector search to lexical search, the other comparing cross-modal textual and image search to textual vector search. In the text box at the top, enter the query tennis clothes.

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Four Steps to Building a Data-Driven Culture

erwin

Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. It requires a clear vision, strategy and disciplined execution. Request a demo of the erwin Data Intelligence Suite. Being a Change Agent.

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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

In-place data upgrade In an in-place data migration strategy, existing datasets are upgraded to Apache Iceberg format without first reprocessing or restating existing data. This AWS CloudFormation template deploys the following resources: An S3 bucket named demo-blog-post-XXXXXXXX ( XXXXXXXX represents the AWS account ID used).

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DataRobot is Acquiring Algorithmia, Enhancing Leading MLOps Infrastructure to Get Models to Production Fast, with Optimized GPU Workloads at Scale

DataRobot

We have long aspired to be the preeminent leader in MLOps with our focus on Applied AI and our strategy to get every model into production, then managing and continuously updating models to ensure peak performance over time. To learn more about the exciting road ahead for DataRobot MLOps and Algorithmia, schedule a demo today.