A roadway intelligence platform for city, state, and county government agencies; numerous partnerships that bring intelligence to business processes, and more.
Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the items our staff came across each week. Here is a short list of some news from this week:
Boomi, a Dell Technologies business, announced alliances with Snowflake and Aible.
The alliance with Snowflake seeks to help companies gain real-time data insights. Through the combined power of the cloud-native Boomi AtomSphere platform and Snowflake’s cloud data platform, businesses can quickly leverage their enterprise data to accelerate business outcomes. In minutes, customers can rapidly, without writing code, move data into Snowflake, integrate application information, create custom apps based on the Snowflake data, and push real-time insights to the people who need it most. This low-code approach is not only repeatable and scalable; it is flexible by allowing workloads to be processed where they are most optimal. Boomi also announced that they have achieved the ‘Snowflake Ready Technology’ validation for Boomi’s Data Catalog and Preparation service (DCP).
The partnership agreement with Aible, which offers an automated machine learning platform, will help business users more simply and rapidly build and deploy artificial intelligence (AI) models at an enterprise scale. The partnership will enable businesses to rapidly drive AI projects from data acquisition to model development, deployment, and user engagement, all in low-code without deep data science expertise.
Moogsoft announced that Optimiz has deployed the Moogsoft Observability Cloud to help clients quickly align their IT operations and digital business goals and deliver epic customer experiences. As an extensible cloud platform, Moogsoft enables Optimiz to quickly integrate its existing portfolio of monitoring and reporting tools — from AppDynamics to Grafana — into a comprehensive SRE and DevOps tool to turn data about events, metrics, logs, and traces into c-level dashboards which show how their essential resources are actively building and improving customer experiences. To that point, Optimiz is using Moogsoft’s cloud-native observability platform within its innovation lab to deliver its clients contextualized business-level visualizations of real-time alert and event data and its effect on customer experiences. The company will also integrate Moogsoft into its managed services portfolio serving North American clients ranging from innovative small businesses to the Fortune 1000.
Rekor Systems, Inc. announced Rekor One, a new roadway intelligence platform for city, state, and county government agencies. The platform will support multiple community safety, intelligent roadway, and revenue generation activities. With Rekor One, governments will be able to leverage their existing IP cameras and transform them into a safe and smart multi-dimensional intelligent roadway network. By interfacing with multiple databases and operating systems, Rekor One will allow governmental units to observe security and privacy protocols and fractionalize costs based on relative end-user value. Each participating agency receives a unique user interface and dashboard, which draws on Rekor One’s unified vehicle recognition intelligence to provide data customized to the agency’s specific needs. This will eliminate redundant systems and single-function applications to help use public funds wisely.
Ekata introduced the Account Opening API, which is designed to act on high-risk accounts to mitigate losses from synthetic identity fraud. The Account Opening API identifies potential bad actors from good customers during the online application process. Designed to support customer onboarding strategies, the Account Opening API secures personal lending, prevents credit bust out, and reduces application abandonment. Key features of the Account Opening API include identity risk score, identity network score, network signals, minimal input requirements, and scalability.
Alida (formerly Vision Critical), which offers a CXM (customer experience management) and insights platform, and Stratifyd, a data analytics company that uses artificial intelligence (AI) to uncover and predict human experience, signed a partnership agreement that will let Alida customers use multiple data sources to easily reveal and understand their customers’ truth. Stratifyd’s Natural Language and Speech Analytics engine will be integrated into the recently announced Alida CXM and insights platform. This will enable brands to tackle real-world business challenges – such as gaining a cross-channel view of CXM opportunities; creating predictive models for customer retention; identifying root causes of emerging issues by tracking customer anomalies and changing trends, and more – through deeper analysis and visualization of structured and unstructured data from a variety of sources, including third-party and social media channels. Through this integration, Alida CXM customers will be able to discern and contextualize their customers’ truth to take individual and company-level actions that improve the customer experience.
ABBYY announced the launch of Timeline 5.0, an end-to-end Process Intelligence platform that delivers 360-degree visibility into business operations by combining insights from people, processes, and content. Leveraging its new task mining capabilities and patent-pending process mining technology, Timeline analyzes desktop user interaction data and seamlessly links it with process details mined from system event data enabling organizations to enhance operational efficiency, improve customer experience, and accelerate impactful digital transformation initiatives. ABBYY Timeline goes beyond existing approaches to process discovery and mining by combining complete visibility into business processes with insights from unstructured and semi-structured content delivered by ABBYY’s Content Intelligence suite.
Ascend.io and Qubole announced a strategic partnership and platform integration, bringing together advanced data pipeline automation technology with a data lake platform. The Ascend Unified Data Engineering Platform automates the implementation, maintenance, and operations of data pipelines, freeing scarce data engineering talent to meet the changing requirements of accelerated business transformations. Harnessing the power of the Qubole Open Data Lake Platform to optimize the operation of data lake infrastructure, the new partnership eliminates the need for joint customers to constantly manage infrastructure operations and optimize costs. Teams using the new integration can build, run, and manage data pipelines natively within Ascend, with full access to Qubole’s platform and suite of end-to-end data lake services. According to the companies, the Ascend for Qubole integration enables data teams to create self-service data pipelines 7x faster with 95% less code and reduces infrastructure costs by 50% or more with greater data processing efficiency.
Arize AI and Paperspace have partnered for deep model observability on top of the Gradient platform. The integration allows Paperspace customers the ability to monitor data drift, model drift, and model performance issues with a simple activation. In addition to finding issues, a suite of troubleshooting workflows is available to bottom-out problems, all hosted in a purpose-built platform designed for ML Observability. With the partnership, Paperspace customers will have priority access to a Gradient-optimized instance of the Arize platform.
KNIME and H2O.ai announced a strategic partnership that integrates offerings from both companies. The joint offering combines Driverless AI for AutoML and KNIME Server for workflow management across the entire data science life cycle – from data access to optimization and deployment. With this partnership, KNIME and H2O.ai offer a complete no-code, enterprise data science solution to add value in any industry for end-to-end data science automation. he expanded integration between H2O.ai and KNIME brings together all-encompassing, intuitive, automated machine learning from H2O.ai with the guided analytics from KNIME.
Canonical announced autonomous high availability (HA) clustering in MicroK8s, the lightweight Kubernetes. Already popular for IoT and developer workstations, MicroK8s now gains resilience for production workloads in cloud and server deployments. HA MicroK8s can withstand the loss of any node and still provide reliable services, meeting production requirements with minimal administrative costs and oversight. High availability is enabled automatically once three or more nodes are clustered, and the data store migrates automatically between nodes to maintain a quorum in the event of a failure. Designed as a minimal conformant Kubernetes, MicroK8s installs and clusters with a single command.
Opsera, which offers a Continuous Orchestration platform for DevOps practitioners, launched a new approach for software delivery that combines the choice of any CI/CD tools with no-code automation across the DevOps lifecycle. By orchestrating tools, pipelines, and insights through a single platform, Opsera speeds time to deployment, helps optimize resources, and provides a holistic cross-functional perspective with KPIs that better correlate technical performance with business outcomes. Key elements of the Opsera Continuous Orchestration platform toolchain automation, declarative pipelines, and unified insights and logs.
Amplitude introduced Journeys, a solution that leverages machine learning to focus teams on the moments that matter most across the entire customer journey. By evaluating the thousands of possible events along a customer path, Journeys automatically focuses teams on the few exact moments that have the greatest business impact, such as drop-off or paths which yield the highest conversion. Product teams then leverage this real-time, predictive intelligence to identify the exact friction or conversion point by a user and group customers into cohorts for targeted messages and offers to accelerate conversion.
Instaclustr announced Managed Mirroring as a new capability included in its managed Kafka Connect service. Dedicated Apache ZooKeeper nodes are also now available as part of Instaclustr’s managed Apache Kafka offering. Together, the two additions align with Instaclustr’s delivery of 100% open-source Apache Kafka. Instaclustr’s launch of Managed Mirroring uses Kafka Connect’s MirrorMaker functionality. With Managed Mirroring, Instaclustr users can easily synchronize Kafka data from one cluster to another. Apache ZooKeeper enables Kafka nodes to be more efficiently managed and coordinated. By now offering dedicated ZooKeeper nodes, Instaclustr provides users with an advantageous option for applications requiring particularly high performance and reliability.
If your company has real-time analytics news, send your announcements to [email protected].
In case you missed it, here are our most recent previous weekly real-time analytics news roundups:
