Remove writing is-your-data-product-ready-for-launch
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Generative AI use cases for the enterprise

IBM Big Data Hub

Remember how cool it felt when you first held a smartphone in your hand? Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Streamline workflows with personalized content creation, tailored product descriptions and market-ready copy.

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Amazon Managed Service for Apache Flink now supports Apache Flink version 1.18

AWS Big Data

Amazon Managed Service for Apache Flink , which offers a fully managed, serverless experience in running Apache Flink applications, now supports Apache Flink 1.18.1 , the latest version of Apache Flink at the time of writing. Out of the box, it provides at-least-once guarantees, synchronizing the writes with Flink checkpointing.

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Enforce fine-grained access control on Open Table Formats via Amazon EMR integrated with AWS Lake Formation

AWS Big Data

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

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Bringing an AI Product to Market

O'Reilly on Data

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 362
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Migrate data from Azure Blob Storage to Amazon S3 using AWS Glue

AWS Big Data

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3).

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QA Teams Need All-in-One Data Analytics Platforms for Testing

Smart Data Collective

Data analytics is an invaluable part of the modern product development process. Companies are using big data for a variety of purposes. Advances in data analytics have raised the bar with QA standards. Companies need to invest in higher quality data analytics solutions to make the most of their QA methodologies.

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Examining Mr Price Group’s search to modernize

CIO Business Intelligence

So she needs to keep tabs on the spectacular rise of artificial intelligence (AI) and its use cases, while also monitoring developments across topics that have been around for years, like big data, RFID and cybersecurity. So she’s trying to not create unwieldy technical debt while also testing out and launching new offerings.