In this week’s real-time analytics news: IBM announced it will launch a $500 million AI venture fund.
Keeping pace with news and developments in the real-time analytics market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. And if you prefer it in your inbox, sign up here!
IBM announced that it is launching a $500 million venture fund to invest in a range of AI companies –from early-stage to hyper-growth startups – focused on accelerating generative AI technology and research for the enterprise. To put that dollar amount into perspective, AI startups received $17.9 billion in investments in the third quarter of this year, according to Bloomberg. That said, the IBM Enterprise AI Venture Fund will provide each startup with opportunities to develop partnerships with IBM while gaining operational expertise on product and engineering and go-to-market strategies.
Real-time analytics news in brief
Azion has developed a new onboarding journey for customers to rapidly build or enhance projects to run on top of Azion’s edge platform. The effort revolves around a large set of templates that Azion says will help users quickly ensure they are fully capitalizing on the benefits of the edge while having the flexibility needed to meet the requirements of their specific use case.
BigID announced the launch of automated, context-based data remediation recommendations, a new capability enabling security teams to make better, more informed decisions to reduce data risks and elevate data security posture management (DSPM). With BigID, customers can accelerate data risk reduction, obtain context-aware guidance, mitigate disruption, and more.
Bloomberg announced a strategic collaboration with Databricks, allowing mutual customers to seamlessly access Bloomberg’s data offerings via Data License and cloud-based data management solution Data License Plus (DL+). These solutions have been designed to facilitate seamless data integration, setting the stage for the acceleration of data analysis, insights generation, and unified governance for structured and unstructured data, as well as artificial intelligence (AI) and machine learning (ML) on any cloud or platform.
CAST announced a new release of CAST Imaging (the first software imaging system), which includes a suite of “Advisors” to provide personalized recommendations to help companies accelerate and de-risk application modernization and cloud migration. By automatically generating personalized recommendations and actionable steps, these Advisors simplify the process of refactoring Mainframe applications for AWS, re-platforming Oracle databases to Oracle Cloud, or migrating SQL Server and DB2 instances to PostgreSQL.
CData introduced a new addition to CData Connect Cloud: The GPT-powered AI Generator. At the heart of the GPT-powered AI Generator is the synergy between the powerful GPT model and advanced machine learning (ML). This innovative feature allows Connect Cloud to decode language naturally, comprehend nuances, and translate them into SQL queries seamlessly navigating through diverse data sources.
Cerbos announced that Cerbos Hub, formerly called Cerbos Cloud, is now in public beta. Cerbos Hub is a managed service offering for the popular open-source authorization product, Cerbos, now known as Cerbos Policy Decision Point (PDP). Cerbos PDP lets teams provide the right access to the right person and the right service across any application and at a web scale and is used by hundreds of organizations in production with hundreds of millions of authorization checks being done monthly.
Cisco, collaborating with NVIDIA, Intel, AMD, NetApp, Nutanix, Pure Storage, and Red Hat, announced Cisco Validated Designs (CVDs) for AI use cases. These solutions build on the success of proven capabilities and existing IT processes, helping to accelerate customers’ journey to AI without adding unnecessary risk or new silos of operations.
In other Cisco news, the company announced seven new modules on the Cisco Observability Platform, built by development partners and created to expand its full-stack observability ecosystem. The new modules are focused on five critical areas: Business Insights, SAP Visibility, Networking, MLOps & SLO, and Sustainability.
DataRobot announced new end-to-end functionality to close the generative AI confidence gap. New functionality brings enterprise-grade governance and observability for both generative and predictive AI in the DataRobot AI Platform. The new features include a 360° observability console, LLM cost, and performance monitoring, generative AI guard models, a unified AI registry, a multi-provider LLM playground, and generative AI accelerators.
Decodable, makers of the enterprise-ready stream processing platform built on Apache Flink and Debezium, has joined the Connect with Confluent (CwC) Partner Program to further support Confluent Cloud customers with their data streaming initiatives. As a part of joining the CWC Partner Program, Decodable’s existing support for Confluent has been reviewed and validated by Confluent as following best practices for connectivity.
EnterpriseDB (“EDB”) announced its portfolio release for PostgreSQL 16.1, including tools and enhancements to EDB Postgres Extended (PGE) and EDB Postgres Advanced Server (EPAS). With this release, EDB also introduces advancements with sophisticated role membership controls. This empowers administrators to manage user activities, extending even to admin-level actions. The update also provides enhanced visibility into table and index usage, setting the stage for optimal performance during high-intensity workloads.
Flip AI launched with its observability intelligence platform, Flip, powered by an LLM that predicts incidents and generates root cause analyses. Flip automates incident resolution processes, reducing the effort to minutes for enterprise development teams. Flip sits on top of traditional observability solutions like Datadog, Splunk, and New Relic; open-source solutions like Prometheus, OpenSearch and Elastic; and object stores like Amazon S3, Azure Blob Storage and GCP Cloud Storage. Flip’s LLM can work on structured and unstructured data and operates on-premises, multi-cloud, and hybrid.
GitLab announced updates to GitLab Duo, the company’s suite of AI capabilities, including the beta of GitLab Duo Chat available in the GitLab 16.6 November product release, and the general availability of GitLab Duo Code Suggestions in the GitLab 16.7 December product release. GitLab Duo Chat, a natural-language AI assistant, provides users with real-time guidance, insights, and suggestions to help analyze code, assist with planning, understand and fix security issues, troubleshoot CI/CD pipeline failures, assist with merge requests, and more.
Gong announced new, enterprise-grade enhancements to Gong Forecast, its AI-powered forecasting and pipeline management solution. By bringing the understanding gained from more than 300 buying signals across more than three billion customer interactions captured on the Gong Revenue Intelligence Platform, teams can now drive more accurate forecasts and deliver predictable revenue on a single AI-powered platform.
IBM announced a major evolution of its flagship IBM QRadar SIEM product: redesigned on a new cloud-native architecture, built specifically for hybrid cloud scale, speed, and flexibility. The new cloud-native QRadar SIEM is designed to augment and up-level security analysts’ daily work – tapping AI to manage time-consuming and repetitive tasks while empowering security analysts to find and respond to high-priority security incidents more effectively. IBM also unveiled plans for delivering generative AI capabilities within its threat detection and response portfolio – leveraging watsonx, the company’s enterprise-ready data and AI platform.
In other IBM news, the company announced that it is expanding its strategic partnership with VMware. To that end, it will bring IBM watsonx to on-premises environments on VMware Private AI and Red Hat OpenShift, to help enable fast, transparent generative AI capabilities. That combination – leveraging the IBM watsonx AI and data platform – will enable enterprises to access IBM watsonx in private, on-premises Infrastructure as a Service (IaaS) environments as well as hybrid cloud with watsonx SaaS offerings on IBM Cloud.
ManageEngine, the enterprise IT management division of Zoho Corporation, announced the launch of Endpoint Central MSP Cloud, which brings the advantages of the cloud’s scalability, flexibility, and efficiency to the remote monitoring and management (RMM) of endpoints for managed service providers (MSPs). The launch also completes the first stage of the company’s vision for a unified platform for MSPs.
Mezmo unveiled data profiling and responsive pipelines for Kubernetes telemetry data. Now, site reliability engineers (SREs), platform engineers, and other infrastructure teams can understand telemetry data clearly, optimize with ease, and respond to incidents rapidly — ultimately cutting costs and improving the management of their Kubernetes environments.
Monte Carlo announced a series of new product advancements to help companies tackle the challenge of ensuring reliable data for their data and AI products. Among the enhancements to its data observability platform are integrations with Kafka and vector databases, starting with Pinecone. These capabilities will help teams tasked with deploying and scaling generative AI use cases to ensure that the data powering large-language models (LLMs) is reliable and trustworthy at each stage of the pipeline.
NeuReality announced that it will launch its fully-integrated NR1 AI Inference solution next week at the international SC23 Conference. The solution aims to address the issues of big CPU-centric data centers that suffer from high inefficiency and expense. To that end, NeuReality will demonstrate the ultra-scalable AI-centric servers designed purely for inference, meaning the daily operation of a trained AI model.
ngrok introduced an Account Domain Controls feature that empowers IT teams to manage user accounts efficiently within enterprises. Specifically, Account Domain Controls enable enterprises to claim domain ownership, establishing a centralized account for all users. This not only streamlines user management but also ensures consistent functionality and facilitates the enforcement of security and compliance policies across the entire organization.
Qumulo unveiled the next version of its Scale Anywhere Platform. The new platform is comprised of four major components and introduces a new way to consume on-premises storage in the same way cloud storage is consumed. The platform begins with Azure Native Qumulo (ANQ), a cloud-native enterprise file system with unlimited exabyte scale and performance elasticity. Jointly developed with Microsoft, ANQ eliminates the trade-offs customers face between scale, economics, performance, and features for file services in the public cloud.
Red Hat announced the general availability of Red Hat Device Edge. The solution provides a consistent platform designed for resource-constrained environments that require small form factor compute at the device edge, including Internet of Things (IoT) gateways, industrial controllers, smart displays, point of sales terminals, vending machines, robots, and more.
SAP SE and Amazon Web Services (AWS) announced that SAP HANA Cloud now supports AWS Graviton processors. Specifically, SAP is extending its cloud-native, in-memory database to AWS Graviton-powered Amazon Elastic Compute Cloud (Amazon EC2) instances to take advantage of AWS’s price, performance, and energy efficiency benefits. By choosing to run SAP HANA Cloud on AWS Graviton, SAP can optimize its compute costs and allow its customers to benefit from these efficiencies.
Sumo Logic announced the availability of its HELM Chart V4 feature to fully unify data collection as part of its continued commitment to OpenTelemetry (OTel). Sumo Logic HELM Chart V4 removes dependencies on disparate third-party solutions like Fluentbit, Fluentd, and Prometheus to reduce data collection complexity and cost. By fully unifying collection for all logs, metrics, and traces, organizations can save the cost of managing multiple agents.
Timescale announced the launch of their Dynamic PostgreSQL product for business applications to utilize their database compute and storage resources more efficiently. It allows businesses to pay only for the compute and storage they use, rather than forcing them to allocate and pay for these resources at their peak. By allowing customers to choose a minimum and maximum CPU range, customers have the flexibility and scalability of serverless while solving the common problem of serverless offerings.
UiPath announced its newest platform features that help customers gain real value by transforming tasks and thousands of processes across the enterprise with AI and automation. The platform update brings new tooling and testing that developers need to turn AI insights into real world automations faster. Additionally, new features provide deeper insights into the workforce, processes, and automation—and how they function together.
Ververica unveiled significant updates to Ververica Cloud. These enhancements underscore Ververica’s commitment to advancing real-time analytics and stream processing solutions for companies worldwide. Key new features include ultra-high performance with VERA technology, seamless resource scaling, and easy development and deployment capabilities.
VMware announced the next generation of VMware Data Services Manager. The solution offers management for a wide range of data services, not just databases, as a natively integrated experience for VMware Cloud Foundation customers. These capabilities, along with new data services partnerships with Google Cloud and MinIO and new VMware Cloud advancements, deliver developer-ready infrastructure to accelerate modern app innovation and provide multi-cloud flexibility and agility.
ZEDEDA announced ZEDEDA Edge Kubernetes Service, a fully managed Kubernetes service for the distributed edge. The new service includes a Kubernetes runtime that is curated, managed, and supported by ZEDEDA, as well as integrations with industry-leading orchestrators. The new service eliminates the struggles typically associated with Kubernetes deployments at the edge, such as highly remote or distributed locations, unreliable security, lack of skilled IT personnel, and undependable network connectivity.
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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 November 4
- Real-time Analytics News for the Week Ending October 28
- Real-time Analytics News for the Week Ending October 21
- Real-time Analytics News for the Week Ending October 14
- Real-time Analytics News for the Week Ending October 7
- Real-time Analytics News for the Week Ending September 30