BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Aporia | November 07, 2022
Aporia, the customizable ML observability platform, and ClearML, the only unified end-to-end MLOPs platform to develop, orchestrate, and automate ML workflows at scale, announced an end-to-end solution today to help data scientists, ML engineers and DevOps teams perfect their ML pipelines. Through this new partnership, Data scientists and DevOps teams will be able to use the combined power of ClearML and Aporia to significantly shorten their time-to-value and time-to-revenue by ensuring ML projects are executed successfully and make it to commercial production more efficiently – from building to deployment and monitoring.
As data scientists and ML engineers work to create applications that drive value, ML teams must jump through numerous hoops – from data experimentation and tracking to data operations and orchestrating – until a model is ready for production. With so many moving parts involved in operationalizing ML at scale, too much time is invested in learning how to use and integrate the required point solution tool for each stage of the process. Data science, ML engineers and DevOps teams need a frictionless one-stop-shop, end-to-end integrated solution that optimizes their entire workflow from training to production throughout the entire ML value chain.
"As an open source company dedicated to giving the data science, ML engineering, and DevOps communities the tools they need to do more with their machine and deep learning projects, we're excited to integrate with Aporia to add cloud-native ML observability to our unified, end-to-end MLOPs platform. "The result of this joint effort means that our customers can do even more from the very start without the friction – using ClearML to build, train, orchestrate, and serve their models seamlessly and with just two lines of code and Aporia to monitor, explain, and improve those models once they hit production.
Moses Guttman, CEO and Co-founder of ClearML
ClearML is an open-source MLOps platform that automates and simplifies developing and managing machine learning solutions for data science, ML engineers and DevOps teams at scale. Designed as a frictionless, unified end-to-end MLOps suite, it brings the CI/CD automation approach into ML development & production allowing customers to focus on developing their ML code and pipelines, while also ensuring their work is automated, reproducible, and scalable. With ClearML for Enterprise, customers significantly shorten their time-to-value and time-to-revenue, ensuring operationalizing ML at scale is executed successfully and make it to production efficiently.
In a category dominated by fragmented point solutions and walled garden closed semi-platforms, ClearML delivers an open-sourced, comprehensive offering that enables companies to scale their MLOps while successfully bridging the innovation and revenue gaps with the company's unified end-to-end platform.
Once a model is deployed into production by ClearML, Aporia's customizable ML observability solution seamlessly empowers data science and ML teams to trust their AI, enabling them to monitor, explain, investigate and solve issues like data & concept drift, performance degradation and model decay.
Aporia does this with customizable model monitoring to trigger live alerts when a model is spiraling, a dashboard that provides visibility of all models under a single pane of glass, and an 'Investigate and Explain' capability that gets to the root cause of any issue delivering explainable AI that gives human-readablemeaning to model predictions for business stakeholders.
"As an MLOps leader, ensuring data science and ML teams can trust their ML model predictions, we see immense value for our customers in integrating with ClearML's open source MLOps platform to provide a true end-to-end solution from training to production and beyond," said Liran Hason, CEO and Co-Founder of Aporia. "There are so many different tools and moving parts to pull from when setting off on this hero's path to build, train, serve, monitor, and explain machine learning models. We're excited to team up with ClearML and provide a one-stop-shop MLOps platform to scale ML with confidence."
Trusted by forward-thinking Data Scientists, ML Engineers, DevOps, and decision-makers at leading Fortune 1000, enterprises, and innovative start-ups worldwide, ClearML is an open source, MLOps platform that helps data science, MLOps, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. It is designed as a frictionless, unified, end-to-end MLOps suite allowing users and customers to focus on developing their ML code and automation, ensuring their work is reproducible and scalable. To learn more, contact us at firstname.lastname@example.org.
Aporia is a self-serve customizable monitoring platform for machine learning, used by Fortune 500 companies and data science teams around the world to monitor billions of daily predictions and maintain AI responsibility and fairness. Founded in 2019, Aporia is backed by TLV Partners Samsung Next, Tiger Global and Vertex Ventures.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Striim | December 01, 2022
Striim, Inc., today announced the availability of Striim Cloud on Amazon Web Services (AWS), the fastest way for customers to deliver real-time data and insights to power real-time analytics, business intelligence, and decision-making to meet the needs of the digital economy. Striim Cloud is the industry’s first and only fully-managed, unified software-as-a-service (SaaS) platform for real-time streaming data integration and analytics from both on-premise or hybrid cloud mission-critical applications. With a few clicks, customers can easily build real-time data pipelines to stream trillions of events every day with Streaming SQL, backed by enterprise-grade operational, security, and management features. Striim Cloud’s zero-maintenance, highly scalable platform enables customers to transform their businesses by adopting new cloud models, digitizing legacy systems, and modernizing their application infrastructure.
Enterprises are increasing their investments in cloud technologies, process automation, and data-driven workflows to develop and deploy new products and experiences across their organizations. These shifts are accelerated by sophisticated and data-intensive applications driven by cloud-based solutions and vast amounts of diverse data and insights. With a real-time model for streaming data, operations leaders can ensure their analytics architecture has access to the best possible information to inform their business decisions.
Legacy technologies mainly rely on “batch” based solutions that limit new modern, data-driven business needs. Real-time streaming data and analytics, by comparison, inform customer strategies and tactics across the entire organization, but to be effective, customers need real-time systems to ingest, process, query, and analyze data to deliver insights and enable decisions in real time. Striim Cloud on AWS delivers these capabilities.
“The ability to make strategic business decisions in real-time is critical to becoming a market leader in today’s digital economy. “Striim Cloud is an easy-to-use, powerful, SaaS solution that runs natively on AWS giving enterprises an invaluable advantage in delighting their customers through data-driven actionable insights. We’re thrilled to make Striim Cloud’s capabilities available to AWS customers worldwide.”
Alok Pareek, Striim’s co-founder and EVP, Product, Striim Inc.
Striim Cloud on AWS is the only solution that delivers the real-time autonomous data pipelines that enable enterprises of all sizes, from FORTUNE 50 giants to startups, to seamlessly evolve their legacy application architectures to modern, cloud-native architectures with minimum disruption. The platform uses change data capture (CDC) to detect source database changes, removing the impact on other operations and maintaining the most up-to-date data possible. Customers can continuously query, enrich and run analysis on a live data stream in transit rather than query the data after it has reached the target database or data warehouse, making it possible to build applications on the pipeline and expand data capabilities without impacting performance.
Striim Cloud on AWS delivers multiple capabilities for digital transformation to the enterprise:
Striim Cloud delivers instant access to what’s happening right now across multiple applications: With real-time streaming data, IT can instantly know what’s happening, from customer behavior to marketing campaigns to supply-chain operations and more. Striim Cloud’s real-time streaming model is inherently superior to legacy ETL batch methods.
Striim Cloud delivers the simplicity, elasticity, and scalability of the cloud: Customers have a unified view of all data pipelines. They can add new pipelines or modify existing pipelines while Striim does the heavy lifting in the background to support them. Striim Cloud supports cloud-native services and integrations. This foundation enables enterprises to adapt to changing market requirements at will.
Striim Cloud Enterprise super-charges enterprise innovation: Building applications based on real-time data gives enterprises a competitive edge. Striim Cloud makes it easy to innovate on applications leveraging data for new use cases.
Striim, Inc. is the only supplier of unified, real-time data streaming and integration for analytics and operations in the Digital Economy. Striim Platform and Striim Cloud make it easy to continuously ingest, process, and deliver high volumes of real-time data from diverse sources (both on-premises or in the cloud) to support multi- and hybrid cloud infrastructure. Striim collects data in real time from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors, and delivers it to virtually any target on-premises or in the cloud with sub-second latency enabling real-time operations and analytics.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
VAST Data | September 30, 2022
VAST Data, the data platform company for the AI-powered world, today announced a strategic partnership with Dremio, the easy and open data lakehouse platform, to enable enterprises to get from data to insights faster with a hybrid, multi-cloud architecture for scalable analytics. Regardless of physical location – on-premises or in the public cloud – Dremio customers can now analyze their data anywhere by leveraging VAST’s massively parallel architecture for concurrent and near real-time data access at any scale.
VAST and Dremio are at the forefront of a market shift away from siloed data warehouses and legacy data platforms such as Hadoop. As businesses struggle with the exponential growth of data volumes and data sources, they need a highly-scalable solution for storing that data, and providing broad and concurrent access for a wide range of technical and non-technical data consumers. Paired with Dremio, VAST's Universal Storage enables organizations to escape the restrictive, walled garden environment of Hadoop and the Hadoop File System. It provides customers with an open data lakehouse platform that powers the data management, data governance, and enterprise analytics capabilities typically found in a data warehouse, powered by an all-flash data store that is purpose-built to manage large volumes of structured, semi-structured, and unstructured data.
In the spirit of public cloud object storage offerings like Amazon Simple Storage Service (S3), VAST unifies an organization’s data for analytics on a common, single-tiered and linearly scalable data platform - while also enabling customers to step into an all-flash S3 experience without the flash expense that’s common with conventional systems. Dremio provides an open data lakehouse platform that executes lightning-fast SQL queries using a common semantic layer across data sources, and a simple user interface. As a result, organizations can build capabilities that are superior to even public cloud offerings with cloud-native infrastructure that provide choice and flexibility on how and where data is managed.
“Partnering with VAST ensures Dremio users are equipped with the lakehouse data capacity and scalable high performance necessary to run their business intelligence workloads and data analytics applications. “As data volumes continue to grow, VAST’s disaggregated architecture enables users to easily scale the performance and capacity that businesses demand, and that our open data lakehouse platform delivers.”
Roger Frey, vice president of alliances at Dremio
Faster time to data access
Dremio’s open lakehouse platform enables organizations to query data directly in the data lake – and on S3 architecture – without having to copy or move data. By querying data in place, Dremio eliminates the need for complex and brittle ETL pipelines and data copies. Dremio reduces the time required to fulfill data access requests from weeks or months to just hours, and makes data teams more productive. Dremio also centralizes security and governance, and its no-copy architecture reduces network and storage costs.
Dremio’s simplified data architecture complements VAST’s all-flash Universal Storage storage platform, which reduces latency and delivers a high-performance infrastructure for analytics at any scale. VAST’s breakthrough Universal Storage data platform reduces the amount of storage capacity necessary in cloud-native environments without compromising performance, optimizing spend and space. Together, Dremio and VAST accelerate access to data for analytics, and deliver insights to a wide range of data consumers.
“We continue to see high market demand to underpin organizations’ modern data analytics infrastructure with VAST. Partnering with ecosystem leaders like Dremio drives a new approach to data analytics,” said Jeff Denworth, chief marketing officer and co-founder of VAST. “Partnering with Dremio ensures that our mutual customers have an optimized and simple out-of-the-box experience as they embrace a cloud-native architecture for their rapidly evolving data management needs.”
About VAST Data
VAST Data delivers the data platform at the heart of the AI-powered world, accelerating time-to-insight for workload-intensive applications. The performance, scalability, ease of use and cost efficiencies of VAST’s software helps enterprise organizations overcome the historic barriers to building all-flash data centers. Launched in 2019, VAST is the fastest-selling data infrastructure startup in history.