In this week’s real-time analytics news: Datorios released new observability features for the open-source Apache Flink stream processing system.
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Datorios announced the general release of new observability features for the open-source Apache Flink stream processing system. The new features from Datorios provide businesses with the observability required to ensure that Flink-powered real-time AI applications drive accurate, rational business automation on a continuous basis. The solution and its new features are especially important for agentic AI.
As real-time data streams into and out of AI models such as LLMs, it is processed by Apache Flink programs. From time to time, it becomes necessary to observe how these Flink programs are behaving–in response to a system crash, a customer complaint, or a regulatory audit request. The new observability capabilities from Datorios provide this insight in interactive dashboards purpose-built for real-time stream data processing in Flink. This enables businesses to quickly pinpoint the root cause of an issue and resolve it.
Other real-time analytics news in brief
Airbyte announced enhanced support for Delta Lake on the Databricks Data Intelligence Platform, making it easier than ever for users to replicate data from any source into their lakehouse. To that end, Airbyte enables organizations to replicate data from any source into the Databricks Data Intelligence Platform in minutes, with post-load transformation capabilities. This integration allows organizations to efficiently manage large volumes of structured and unstructured data efficiently, ensuring timely access to insights necessary for informed decision-making.
Ataccama announced the release of Ataccama ONE v15.3, an update to its data management platform that increases the ROI for customers. Ataccama ONE v15.3 empowers data teams to monitor, manage, and utilize data to enhance security and compliance and expand their customer value and footprint. Features of Ataccama ONE v15.3 can result in greater productivity and accuracy with AI generation of test data, enhanced data security to facilitate compliance, the protection of at-risk data quickly and confidently, and more.
Cohesity introduced a patent-pending visual data exploration capability to Cohesity Gaia, its AI-powered search assistant launched earlier this year. By providing customers with a visual categorization of the themes across documents and files within a data set, the visual data explorer brings new context to the data and suggests queries that help users gain insights faster. Specifically, the solution indexes and provides insight based on data stored in many popular formats, including emails, documents, PDFs, text files, spreadsheets, HTML, XML, and presentations.
Confluent announced the launch of the Confluent for Startups AI Accelerator Program. The 10-week virtual program seeks to collaborate with 10 to 15 early-stage AI startups that are building real-time applications utilizing the power of data streaming. To that end, Confluent will help startups harness the potential of data streaming to drive intelligent, automated decisions at scale.
Denodo unveiled Agora, a new cloud-based solution that transforms data management for organizations by offering customers a managed service of the Denodo Platform that is fully adaptable to their needs. With Agora, customers can offload infrastructure management and platform operations to Denodo, accelerating access to data for end users while saving organizations time on day-to-day tasks. This enables businesses to attain more of their strategic business goals so they can stay agile in an ever-changing market.
Flatfile announced the launch of three new products in the Flatfile Data Exchange platform. The release includes new AI data transformation and data migration functionality that enables users to process massive data sets faster than before. With the new products, companies are able to manage end-to-end data preparation workflows in the Flatfile Data Exchange platform while enhancing performance, security, and efficiency.
IBM announced the release of its most advanced family of AI models to date, Granite 3.0. IBM’s third-generation Granite flagship language models can outperform or match similarly sized models from leading model providers on many academic and industry benchmarks, showcasing strong performance, transparency, and safety. IBM’s Granite 3.0 family includes General Purpose/Language, Guardrails & Safety, and Mixture-of-Experts solutions.
Kipi.ai announced it is offering its Marketing Mix Modeling and Analytics App on the Snowflake AI Data Cloud. The app leverages advanced Bayesian modeling to provide marketing teams with insights into ROI, campaign efficiency, and ways to engage target audiences better. Using the app, Snowflake customers can estimate budget allocations, analyze the performance of media channels, and fine-tune marketing strategies across channels like Facebook, LinkedIn, Instagram, Twitter, TikTok, etc.
Semantic Web Company and Ontotext announced that the two companies have merged to become the Graph AI provider, Graphwise. Combining Ontotext GraphDB’s data management capabilities with PoolParty, the knowledge and content management offerings from Semantic Web Company, Graphwise has created a comprehensive knowledge graph management platform, which includes complete multi-modal data support for unstructured, semi-structured, and structured data. The company claims the announcement clears the path towards democratizing the evolution of Graph RAG as a category.
SnapLogic announced SnapLogic Agent Creator, a new system that empowers enterprises to build LLM-powered agents, assistants, and applications that augment human capabilities and integrate AI into any integration workflow or data pipeline. By combining dynamic iteration with real-time generative decision-making, SnapLogic Agent Creator builds a symbiotic relationship between the people on the front lines of the business, your IT team, and executives via powerful AI at anyone’s fingertips.
Starburst announced a range of new capabilities for their Trino-based open hybrid lakehouse platform, Galaxy. Those new capabilities include the general availability of fully managed streaming ingestion from Apache Kafka to Apache Iceberg tables; the public preview of fully managed ingestion from files landing in Amazon Web Services (AWS) S3 to Iceberg tables; and multiple enhancements to performance and price-performance of their lakehouse platform. With the new feature, Galaxy customers can now easily configure and ingest data at a verified scale of up to 100GB/second per Iceberg table.
UiPath announced the integration of Anthropic‘s large language model (LLM), Claude 3.5 Sonnet, to deliver new AI features in three key products, including UiPath Autopilot for everyone, Clipboard AI, and a new medical record summarization solution. With the integrations, businesses will be able to achieve greater accuracy with UiPath’s platform and Claude’s advanced, trusted, and responsible AI capabilities.
Yellowbrick Data announced an expanded collaboration with Coginiti. The combined offering enables organizations to transform raw data to create structured, queryable formats, providing high-performance, actionable insights to drive analytics, business intelligence, and AI workloads in hybrid and multi-cloud environments. The Yellowbrick and Coginiti solution is available today and serves organizations that must abide by data residency and regulatory compliance requirements when building, publishing, and consuming trusted data products.
ZEDEDA and OnLogic announced a strategic partnership to launch OnLogic Powered by ZEDEDA. This offering combines OnLogic’s rugged, industrial-grade hardware with ZEDEDA’s cloud-native edge orchestration software, providing enterprises with a comprehensive platform to easily and securely deploy, manage, and scale edge computing workloads. The companies are committing product and engineering teams to co-design a solution that will streamline edge computing deployments and accelerate time to value.
Zoho Corporation announced that it will be leveraging the NVIDIA AI accelerated computing platform, which includes NVIDIA NeMo, part of NVIDIA AI Enterprise software, to build and deploy its large language models (LLMs) in its SaaS applications. Once the LLMs are built and deployed, they will be available to Zoho Corporation’s 700,000+ customers across ManageEngine and Zoho.com globally. Over the past year, the company has invested more than USD 10 million in NVIDIA’s AI technology and GPUs and plans to invest an additional USD 10 million in the coming year.
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In case you missed it, here are our most recent previous weekly real-time analytics news roundups:
- Real-time Analytics News for the Week Ending October 19
- Real-time Analytics News for the Week Ending October 12
- Real-time Analytics News for the Week Ending October 5
- Real-time Analytics News for the Week Ending September 28
- Real-time Analytics News for the Week Ending September 21
- Real-time Analytics News for the Week Ending September 14
- Real-time Analytics News for the Week Ending August 31
- Real-time Analytics News for the Week Ending August 24
- Real-time Analytics News for the Week Ending August 17