Data Management News for the Week of December 6; Updates from AWS, Informatica, Neudesic & More – Solutions Review

Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of December 6, 2024 – special 6th annual Insight Jam LIVE!: Strategies for AI Impact edition.
Keeping tabs on all the most relevant big data and data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy big data and data management news items.
For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.
AWS unveiled Amazon SageMaker Lakehouse, a unified platform that integrates data from S3 data lakes and Redshift warehouses. This solution facilitates seamless analytics and AI/ML operations on a single data copy, streamlining data management processes.
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The transaction complements CDW Digital Velocity – CDW’s cloud, data, AI and software platform engineering organization – while bolstering CDW’s existing cloud expertise, market scale and solution capabilities. Mission and CDW will come together as CDW’s dedicated AWS practice.
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Cirata’s DMaaS is powered by its Data Migrator solution, which automates the transfer of Hadoop Distributed File System (HDFS) data, Hive metadata, and cloud data sources to various cloud platforms, including Amazon S3, Azure Data Lake Storage Gen 2, Google Cloud Storage, and Oracle Object Store.
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This allows organizations to avoid the excess latencies and high operational costs that application developers often experience when introducing new technology components and workflows. Couchbase empowers teams to safely bring agent-based applications into production by giving developers control over data across the development lifecycle and mitigating security and privacy issues from large language models (LLMs) running outside the organization.
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Agora’s availability in the AWS Marketplace provides users with flexible deployment options including a free trial, annual contracting options via a private offer, and consumption based pricing. These options provide cost-effective scalability while freeing IT and operational teams to focus on broader strategic initiatives.
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New developments include blueprints for enterprise-grade GenAI applications and automation recipes for Amazon Bedrock, a fully managed service that provides a single API to access and utilize various high-performing foundation models (FMs) from leading AI companies.
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The expansion of the MongoDB AI Applications Program follows the introduction of vector quantization to MongoDB Atlas Vector Search (which reduces vector sizes while preserving performance—at lower cost), as well as new integrations with leading AI and technology companies.
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These updates empower enterprises and managed service providers (MSPs) to address the growing threats of ransomware and other malicious attacks while cutting operational costs, streamlining cross-cloud and multi-cloud data management, and maximizing the potential of their cloud investments without stressing budgets.
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This designation recognizes that Precisely has demonstrated technical proficiency and proven customer success automating and accelerating customer application migration and modernization journeys with its Precisely Data Integrity Suite. Precisely also announced continued support of the Data Integrity Suite in global AWS regions with the addition of the UK and Australia.
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Red Hat OpenShift, with the inclusion of OpenShift Virtualization and migration toolkit for virtualization, allows for easier migration of VMs. The solution is designed with the cloud in mind for full automation from day one deployments and includes auto-healing and reconciliation, applied to both containers and VM workloads.
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Surreal Cloud ensures organizations no longer need to worry about infrastructure operations, monitoring, backups or capacity planning. It offers simplified deployment, allowing developers the space to focus on building great products and applications.
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Chen laid out his strategy for the American market and its goals to drive growth in the enterprise sector by focusing on three pillars: products, sales channels, and services. Chen, who joined the company at its inception in 2000, brings with him a deep understanding of the evolving data solutions market and a strategy for aggressive expansion in the enterprise market.
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With this integration, Teradata customers gain access to a large repository of 60+ Gen AI use cases across various functions and industries to deliver exceptional customer experiences, boost employee productivity, and streamline business processes.
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Each company’s Memorandum of Understanding establishes the framework for the U.S. AI Safety Institute to receive access to major new models from each company prior to and following their public release. The agreements will enable collaborative research on how to evaluate capabilities and safety risks, as well as methods to mitigate those risks.
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The shared goal of Wikimedia Deutschland and DataStax is to provide this data as an open accessible dataset of the world’s knowledge available to the Open Source AI/ML Community. One of the key technical challenges was vector embedding such a large and constantly changing dataset such that it is always up to date for developers to use.
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The AI Clinical Assistant leverages advanced agentic retrieval-augmented generation (RAG) technology to streamline routine tasks, enabling healthcare providers to deliver more timely and precise care. By connecting disparate healthcare systems, the solution facilitates seamless data sharing and real-time collaboration among medical professionals, enhancing patient outcomes.
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Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community for business software pros. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.
The 6th Annual Insight Jam LIVE! is the original celebration of enterprise tech and a 4-day virtual event dedicated to equipping builders, implementers, and experts with actionable strategies for maximizing AI’s impact across the enterprise.
Centered on the theme Strategies for AI Impact, the event features more than 25 Expert Keynotes and Roundtable panels with participation from over 100 executives and thought leaders.
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With the next Expert Roundtable event, the team at Solutions Review has partnered with Neudesic, Microsoft, Databricks, and Eckerson Group to hear from experts at Databricks, Microsoft, and Neudesic as they share practical learnings and best practices to ensure successful AI outcomes. 
Register free on LinkedIn
When asked how he addresses difficult and complex challenges, Microsoft founder Bill Gates replied, “I will always choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it.” Gates’ advice seems counterintuitive regarding the difficult and complex challenges data engineers will face in 2025. That is until you consider recent advancements in AI-enabled data engineering tools.
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Every dataset is a vehicle waiting to be driven, every visualization a roadmap to undiscovered insights. And just like Gordon’s Volvo, the most remarkable journeys are those where we dare to go further, look deeper, and transform the seemingly impossible into the unforgettable.
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AI systems rely on data as input and output, with algorithms and enabling technologies treated as data and IT assets requiring similar governance approaches. The integration of data and AI governance is often overlooked. It is influenced by factors like regulations, organizational culture, resources, and governance maturity.
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The value of talking to stakeholders first can’t be overstated – leaders may well uncover a different reality. It might be that a dedicated tool isn’t even needed. (Of course, if it were as easy as that, we’d all be doing it, right?) We hear a lot about digital transformation projects being abandoned after spending millions, either because of data issues or because staff do not adopt the technology because it is not fit for purpose. Earlier engagement with stakeholders can reduce the likelihood of this happening.
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For consideration in future data management news roundups, send your announcements to the editor: tking@solutionsreview.com.
This article was written by Tim King on December 6, 2024
Tim is Solutions Review’s Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.

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