In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.
Couchbase Introduces New Operational Efficiencies, Dramatically Reducing Deployment Costs For Modern Applications
Couchbase, Inc. (NASDAQ: BASE), a leading modern database provider for enterprise applications, announced version 7.1 of Couchbase Server. Available now, the new release delivers incredible advancements in performance, storage capacity and workload breadth, including expanded operational analytics support with direct Tableau integration–all while dramatically reducing deployment cost. With Couchbase Server 7.1, enterprise architects and development teams significantly reduce the cost of building and running applications while gaining compelling operational efficiency.
“More organizations are experiencing the drawbacks of deploying first-generation cloud architectures, and one of the main disadvantages is the cost of cloud instance sprawl,” said Ravi Mayuram, Chief Technology Officer at Couchbase. “As a result, companies today are looking to consolidate infrastructure resources to spend less and reduce the complexity of their data architectures with multimodel databases. This release does that and more, helping to shrink cluster sizes while providing higher throughput, larger data capacity and easier access to active analytics through Tableau. With Couchbase Server 7.1, modern applications can become both smarter and more cost efficient.”
Quest Software Delivers Data Intelligence Offering to Help Organizations Address Data Quality, Data Governance and Business User Needs
Quest Software, a global systems management, data protection and security software provider, announced the launch of erwin Data Intelligence by Quest 12.0, the latest version of a data intelligence platform designed to bring IT, data governance teams and business users together in understanding, leveraging and protecting organizations’ data. Through a new data quality offering and an enhanced business user experience, users will benefit from added data quality transparency and automation, new data asset discovery and collaboration tools for non-technical users, and more capabilities to extend data intelligence, visibility and understanding. These enhancements support strategic data governance efforts crucial to enterprise data initiatives.
“Data quality and data governance initiatives are tightly interwoven and essential to every business, and the new version of erwin Data Intelligence supports this vital integration,” said Heath Thompson, General Manager of Information Systems Management at Quest Software. “Quest research and customer discussions continue to guide our development investments and focus our attention on empowering both technical and non-technical stakeholders within the customer organizations we help.”
Siren 12.1 – Introducing 360 Degrees Data Visibility, Data Model Scalability and Record Consolidation Jobs
Siren, a leading provider of Investigative Intelligence analytics, announced the release of Siren 12.1. The latest version of Siren introduces several enhancements and improvements including 360 degrees data visibility, downloadable and editable reports, and data model scalability. The latest iteration of the Siren platform pushes forward what is achievable in the investigative world, launching new capabilities which have been developed in line with rapidly changing investigators requirements to generate insights at machine speed and scale.
“The new 360 degrees data visibility capability is a major step forward for our platform and aligns with the vision we have for investigative intelligence,” said Dr. Giovanni Tummarello, Founder and Chief Product Officer, at Siren. “We transform big data into actionable intelligence, helping investigators move away from the “swivel chair” approach. Our platform enables investigators to access disconnected systems and retrieve pertinent information quickly and efficiently. 12.1 further enables law enforcement analysts to spot never before seen patterns in investigations as the requirement for advanced correlation analysis on multiple datasets becomes an industry driver. This is an important release for our clients in Law Enforcement, National Security, Cyber Security and Corporate Risk and Compliance Management”
Domino 5.2 Accelerates Model Velocity and Enables More Efficient Data Science Across the MLOps Lifecycle
Domino Data Lab, provider of the leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, announced its latest platform, Domino 5.2. This powerful release continues Domino’s progress towards helping enterprises become model-driven by allowing data science and IT teams to develop and deploy more models faster, slash data and infrastructure complexity and costs, and extend autonomous model performance monitoring to Snowflake’s Data Cloud. Throughout the lifecycle of a model, data science teams must contend with non-data science tasks, workarounds caused by inflexible tools and complex processes, as well as rising tensions with IT. Domino 5.2 helps reduce this complexity and alleviate friction with IT over costs — allowing teams to accelerate the MLOps lifecycle.
New capabilities will recommend the optimal size for a development environment, thereby improving the model development experience for data science teams and delighting IT with reduced cloud storage costs. Integrated workflows in Domino 5.2 automate model deployment to Snowflake’s Data Cloud and enable the power of in-database computation, as well as model monitoring and continuous identification of new production data to update data drift and model quality calculations that drive faster and better business decisions.
“Data science teams make their biggest impact on business and humanity when they focus on building, deploying and improving models on their own terms, without fear of vendor lock-in, rising costs or risk,” said Nick Elprin, CEO and co-founder of Domino Data Lab. “Domino 5.2 enables our customers to maximize model velocity across the MLOps lifecycle using powerful tools of their choice and scalable infrastructure like the Snowflake Data Cloud.”
Google Cloud Launches New Solutions to Help Manufacturers Unify Their Data and Address Industry-Specific Use Cases
Google Cloud announced the launch of Manufacturing Data Engine and Manufacturing Connect, two new solutions that enable manufacturers to connect historically siloed assets, to process and standardize data, and to improve visibility from the factory floor to the cloud. Once data is harmonized, the solutions enable three critical AI and analytics-based use cases–manufacturing analytics & insights, predictive maintenance, and machine-level anomaly detection.
Manufacturers are undertaking a massive digital transformation driven by rising customer expectations, supply chain volatility, shifting buyer behavior, and more. Yet, only 21% of manufacturers have active AI initiatives in production to help solve these issues. While data from disparate systems can be manually prepared for AI and analytics pilots, siloed data sets still need to be accessible centrally and in real-time to support production scale. Additionally, many existing AI and analytics solutions are designed to be used by data scientists and are not easy to use for manufacturing business leaders.
“Bridging gaps across systems and placing easy-to-use AI directly into the hands of manufacturing engineers leads to better results,” said Hans Thalbauer, Managing Director, Supply Chain and Manufacturing Industries, Google Cloud. “These new solutions can support workforce transformation initiatives by providing engineers with the tools to be self-sufficient, without the need for data scientists or additional integration code.”
Provectus Transforms UI for Apache Kafka with New Features and Enhancements in v0.4 Release
Provectus, a Silicon Valley artificial intelligence (AI) consultancy, announced the release of UI for Apache Kafka v0.4. The updated version of this free, open-source web UI comes with new features for smart filtering, live message tailing, and handling functionality of topics. It includes crucial improvements and enhancements designed to help developers optimize the monitoring and management of Apache Kafka clusters.
UI for Apache Kafka enables developers to efficiently monitor data flows, identify data issues, and report any detected inconsistencies. The lightweight UI makes it easy to observe key metrics of Apache Kafka clusters, including Brokers, Topics, Partitions, Production, and Consumption, without having to use additional CLI tools. This results in faster reporting, reduced time to resolution and minimal engineering silos, making the development process more efficient.
Provectus will continue to improve the UI for Apache Kafka tool by adding new features and enhancing existing ones, to reduce pressure on engineers to hustle, and to accelerate the delivery of the AI/ML, data and analytics solutions they are working on.
Alluxio Expands Data Access and Security for Data-driven Applications in Heterogeneous Environments with v2.8 Release
Alluxio, the developer of the open source data orchestration platform for data driven workloads such as large-scale analytics and AI/ML, announced the immediate availability of version 2.8 of its Data Orchestration Platform. This new release features enhanced interface support for the Amazon S3 REST API; security improvements for sensitive applications with strict encryption compliance and regulatory requirements; and strengthened automated data movement functionality across heterogeneous storage systems without the need to manually move or copy the data.
Alluxio 2.8 enhances S3 API compatibility, so onboarding and managing Alluxio on existing large data pipelines becomes much easier. As a major enhancement to enterprise-grade security, Alluxio 2.8 adds features to support server-side encryption capabilities for securing and governing data. Data migration is a major challenge for organizations having data stored cross-vendors, cross-clouds, or cross-regions. Alluxio 2.8 improves reliability of data movement across heterogeneous storage systems with enhanced usability of policy-based data management and high availability.
“The support for S3 API is significant, making Alluxio much more accessible to a huge number of customers,” said Adit Madan, Director of Product Management, Alluxio. “Together, our rich set of S3, HDFS and POSIX APIs enables true storage-agnostic and multi-cloud deployments. The data migration capabilities further eliminate vendor lock-in and provide organizations with the flexibility to choose whatever they want to run their applications or store their data.”
Syniti Enhances Industry-Leading Syniti Knowledge Platform to Enable Faster, Lower Risk Data Migrations
Syniti, a leader in enterprise data management, announced the first of multiple updates to its industry-leading Syniti Knowledge Platform this year. Building on the platform’s history of success in complex enterprise data migrations, the company is introducing the fully cloud-based version of Syniti Advanced Data Migration, now called Syniti Migrate. With Syniti Migrate, customers will have greater control of their data in a faster, more secure offering – from any source to any target – helping to ensure a Boring Go Live® every time.
Every digital transformation is underpinned by a massive need for data transformation, which can be time-consuming and complex. Syniti Migrate enables enterprise customers to realize value faster from critical migration and consolidation projects like mergers, acquisitions and divestitures and ERP migrations – including the journey to SAP S/4HANA®. A modern, cloud-first architecture allows businesses to process and persist data where they want, with increased security. Customers can now choose their data migration working and staging environments, with current connections to industry-leading databases and flexible deployment options.
“We took millions of human hours, our best practices and years of experience in data migrations, to make our original data migration platform,” said Kevin Campbell, chief executive officer, Syniti. “What we’ve done here is take what is arguably the best migration solution on the planet – and made it faster and more secure, so our customers realize both short and long-term benefits in their transformation efforts.”
Inworld AI Launches Inworld Studio, a Revolutionary Platform that Enables Developers and Creators to Build Intelligent Virtual Characters
Inworld AI released the Beta version of Inworld Studio, a platform that empowers developers and creators to build AI-powered virtual characters that demonstrate human-like perception, cognitive abilities, and behaviors. Immersive realities continue to accelerate with an increasingly diverse ecosystem of worlds and use cases – gaming, virtual worlds, metaverse platforms, and enterprise applications. With Inworld, developers can build any variety of characters such as onboarding guides, brand representatives, intelligent game NPCs, native metaverse inhabitants, or corporate training agents.
“Creating truly intelligent virtual characters is highly complex and takes tremendous specialization. Inworld Studio performs the heavy lifting and enables developers and creators to leverage the platform to build whatever characters they choose,” said Ilya Gelfenbeyn, Inworld AI Chief Executive Officer.
Rockset Enables Real-Time Analytics for Microsoft SQL Server
Rockset, the Real-time Analytics Platform Built for the Cloud, announced a new integration with Microsoft SQL Server, enabling developers to run sub-second, high-concurrency analytics on data from Microsoft SQL Server, in real-time.
Most organizations are today investing in real-time analytics as the foundation for digital, particularly in areas like e-commerce, logistics and delivery tracking, gaming leaderboards, fraud detection systems, health and fitness trackers, and social media newsfeeds. With this release, Microsoft SQL Server users can move away from traditional batch ETL towards real-time change data capture to see and respond to changes as they occur, for user-facing analytics and operational analytics use cases.
“Microsoft SQL Server is among the top 5 most popular databases according to StackOverflow and DB-Engines. While leading cloud providers now provide ways to tap into changes as they occur in the form of Database Change Data Capture (CDC) streams, most warehouses are not equipped to consume and analyze these CDC streams in real-time,” said Shruti Bhat, Chief Product Officer at Rockset. “As a real-time analytics platform built for the cloud, Rockset is fully mutable to elegantly handle upserts and stay in sync with SQL Server tables, in real-time.”
Dstillery Launches ID-free Custom AITM to Help Brands Reach Their Audiences Without Third-Party Cookies
Dstillery, the custom audience solutions company, announced its new programmatic advertising solution, ID-free Custom AI. This revolutionary targeting technology, powered by artificial intelligence (AI), allows advertisers to reach their best customers without user tracking.
Dstillery’s patented, privacy-by-design technology works by reaching ad impressions, not users, across all internet browsers. The technology gives agencies and brands the ability to deliver advertising performance that rivals today’s best cookie-based solutions without using IDs. ID-free Custom AI is neither a new identifier nor is it contextual targeting. It’s a new category of behavioral targeting that uses AI to predict the likelihood of conversion based on privacy-safe signals like URL, DMA and time of day.
“In a future without third-party cookies, brands will have to deliver a substantial proportion of all digital advertising impressions without user identifiers,” said Melinda Han Williams, Chief Data Scientist, Dstillery. “This creates a clear need for solutions that deliver efficient targeting and scale, the two main reasons advertisers invest in digital advertising, regardless of the presence of a user identifier. ID-free Custom AI addresses this need today, allowing advertisers to identify the most valuable impressions for their brands while achieving a high ROI.”
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