5 MINUTE BRIEFING INFORMATION MANAGEMENT

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Five Minute Briefing - Information Management
November 30, 2023

Five Minute Briefing - Information Management: November 30, 2023. A concise weekly report with key product news, market research and insight for data management professionals and IT executives.


News Flashes

Astronomer, the leader in modern data orchestration, is introducing a new set of Apache Airflow integrations to accelerate LLMOps (large language model operations) and support AI use cases. Modern, data-first organizations are now able to connect to the most widely-used LLM services and vector databases with integrations across the AI ecosystem, including OpenAI, Cohere, pgvector, Pinecone, OpenSearch, and Weaviate.

AWS announced a preview of Amazon Aurora Limitless Database is now available—a new capability supporting automated horizontal scaling to process millions of write transactions per second and manage petabytes of data in a single Aurora database. Amazon Aurora read replicas allow users to increase the read capacity of their Aurora cluster beyond the limits of what a single database instance can provide.

Data quality is becoming a hot button issue as more and more businesses aggressively move into artificial intelligence (AI)—both generative and operational—which requires massive amounts of accurate and timely data. The rise of large language models (LLMs)—both publicly available as well as contained within enterprises—to support business decision making and customer communications means data is being pressed into service in new and highly demanding ways as training data and real-time streaming feeds.

Data quality is becoming a hot button issue as more and more businesses aggressively move into artificial intelligence (AI)—both generative and operational—which requires massive amounts of accurate and timely data. The rise of large language models (LLMs)—both publicly available as well as contained within enterprises—to support business decision making and customer communications means data is being pressed into service in new and highly demanding ways as training data and real-time streaming feeds.

Paul Steinichen, AVP, data and analytics life cycle management at Blue Cross Blue Shield North Carolina, and Irem Radzik, senior director of product marketing at Reltio, joined DBTA's webinar, Blue Cross NC's Journey to a Modern Trusted Access Data Platform with Unified Data, to discuss how Blue Cross NC was able to tap into the power of ML and cloud to centralize, standardize, and enrich core business data with efficiency, scalability, and agility at the forefront.

Caylent, a leading cloud services company helping businesses build competitive IP, is unveiling MeteroAI by Caylent, a proprietary generative AI (GenAI) framework underpinned by Caylent's platform, process, and practice expertise in developing GenAI apps. Built on AWS, MeteorAI merges the power of both Caylent and the AWS ecosystem to ensure that enterprises building GenAI apps do so with powerful data and an expedited experimentation cycle.

Global cloud security leader Trend Micro Incorporated is adding cloud risk management to its flagship cybersecurity platform, enabling organizations to consolidate their cybersecurity efforts and achieve a complete view of cloud security risks across hybrid IT environments.


News Flashes

Data quality is becoming a hot button issue as more and more businesses aggressively move into artificial intelligence (AI)—both generative and operational—which requires massive amounts of accurate and timely data. The rise of large language models (LLMs)—both publicly available as well as contained within enterprises—to support business decision making and customer communications means data is being pressed into service in new and highly demanding ways as training data and real-time streaming feeds.

Data quality is becoming a hot button issue as more and more businesses aggressively move into artificial intelligence (AI)—both generative and operational—which requires massive amounts of accurate and timely data. The rise of large language models (LLMs)—both publicly available as well as contained within enterprises—to support business decision making and customer communications means data is being pressed into service in new and highly demanding ways as training data and real-time streaming feeds.

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