BIG DATA MANAGEMENT,DATA VISUALIZATION
AtScale | September 29, 2022
AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced at the Semantic Layer Summit an expanded set of product capabilities for organizations working to accelerate the deployment and adoption of enterprise artificial intelligence (AI). These new capabilities leverage AtScale’s unique position within the data stack with support for common cloud data warehouse and lakehouse platforms including Google BigQuery, Microsoft Azure Synapse, Amazon Redshift, Snowflake, and Databricks.
Organizations across every industry are racing to realize the true potential of their data science and enterprise AI investments. IDC predicts spending on AI/ML solutions will grow 19.6% with over $500B spent in 2023. Despite this investment, Gartner reports that only 54% of AI models built will make it into production, with organizations struggling to generate business outcomes that justify investment to operationalize models. This disconnect creates an enormous opportunity for solutions that can simplify and accelerate the path to business impact for AI/ML initiatives.
The AtScale Enterprise semantic layer platform now incorporates two new capabilities available to all customers leveraging AtScale AI-Link:
Semantic Predictions - Predictions generated by deployed AI/ML models can be written back to cloud data platforms through AtScale. These model-generated predictive statistics inherit semantic model intelligence, including dimensional consistency and discoverability. Predictions are immediately available for exploration by business users using common BI tools (AtScale supports connectivity to Looker, PowerBI, Tableau, and Excel) and can be incorporated into augmented analytics resources for a wider range of business users. Semantic predictions accelerate the business outcomes of AI investments by making it easier and more timely to work with, share, and use AI-generated predictions.
Managed Features - AtScale creates a hub of centrally governed metrics and dimensional hierarchies that can be used to create a set of managed features for AI/ML models. Managed features can be sourced from the existing library of models maintained by data stewards or by individual work groups. Furthermore, new features created by AutoML or AI platforms can also become managed features. AtScale managed features inherit semantic context, making them more discoverable and easier to work with, consistently, at any stage in ML model development. Managed features can now be served directly from AtScale, or through a feature store like FEAST, to train models in AutoML or other AI platforms.
“Despite rising investments, greater adoption of AI/ML within the modern enterprise is still hindered by complexity. “The need for AI is huge, exploration is on the rise, but many businesses are still not able to use the predictive insights AI models can generate. Here at AtScale we can leverage our unique position in the data stack to streamline and simplify how the business can consume and use AI immediately, generating faster time to value from their enterprise AI investments.”
Gaurav Rao, Executive Vice President and General Manager of AI/ML at AtScale
AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale, customers are empowered to democratize data, implement self-service BI and build a more agile analytics infrastructure for better, more impactful decision making.
BIG DATA MANAGEMENT
Denodo | June 27, 2022
Denodo, a leader in data management, today announced that Forrester Research, Inc., a leading independent technology and market research company, has positioned Denodo as a Leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2022. According to the report, “Denodo is best fit for customers that are focusing on an enterprise-wide data fabric strategy to support BI, data collaboration, customer intelligence, data engineering, data science, IoT analytics, operational insights, and predictive analytics use cases.”
The complete and complementary report, published on June 23, is available here.
The Wave revealed that organizations want real-time, consistent, connected, and trusted data to support their critical business operations and insights. However, new data sources, slow data movement between platforms, rigid data transformation workflows, and governance rules, expanding data volume, and distributed data across clouds and on-premises, can cause organizations to fail when executing their data strategy.
Forrester VP, Principal Analyst and author of the report, Noel Yuhanna wrote, “Denodo Technologies has been a longtime player in data virtualization and now supports data fabric with expanded integration, management, and delivery capabilities to support self-service BI, advanced analytics, and enterprise data services.”
With some of the best in class and latest innovations, Denodo Platform offers:
An augmented data catalog to facilitate data exploration, discovery, improved collaboration and data governance.
Active metadata-based historical analysis, which serves as the foundation for AI processes.
A semantic layer with extended metadata to enrich traditional technical information with business terms, tags, status, or documentation, to fuel improvements in self-service, security, and governance across all data assets.
AI-based recommendations to learn from usage and simplify the entire lifecycle of the data management practice, including development, operations, performance tuning, etc.
DataOps and multi-cloud provisioning to reduce management and operational cost and enable the system to be cloud-vendor agnostic.
“We are thrilled to see our position as a leader in the Forrester Wave for Enterprise Data Fabric. “Most of our customers, including many Fortune 500, use our platform to build their enterprise data fabric for use cases such as IoT analytics, customer intelligence, fraud detection, real-time analytics, operational insights and many more, which are all areas where Denodo received the maximum score possible. We are looking forward to continuing to help organizations across the world unleash their data-driven decision making power to create an enterprise level logical data fabric.”
Ravi Shankar, Senior Vice President and Chief Marketing Officer at Denodo
Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self-service BI, data science, hybrid/multi-cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo’s customers across large enterprises and mid-market companies in 30+ industries have received payback in less than 6 months.
BIG DATA MANAGEMENT
Hewlett Packard Enterprise | March 19, 2021
Hewlett Packard Enterprise has refreshed its Ezmeral data and analytics programming portfolio adding another item and an ISV and open source solutions marketplace.
Ezmeral Data Fabric is currently accessible independently as a product characterized, scale-out data store streamlined for data analytics abilities, just as a piece of the Container Platform and ML Ops contributions. It gives a data stockpiling layer across on-reason, private or public cloud, and edge conditions.
The Ezmeral Container Platform and ML Ops are accessible as cloud benefits through HPE GreenLake now, and Ezmeral Data Fabric will be accessible as a GreenLake administration later on. ISVs can approve their application on Ezmerel for snappier arrangement because of another innovation environment program.
An Ezmerel marketplace has likewise been dispatched that offers approved full-stack solutions from ISV accomplices, and open-source tasks like Apache Spark, and Tensorflow.
Accomplices and clients can get ISV administrations through the marketplace however installments go straightforwardly to the ISV and accomplices don't right now approach discounts or motivations from HPE by buying ISV solutions as such. An assertion from HPE said that the organization intends to add more ISV accomplices to the marketplace each quarter.
“The separate HPE Ezmeral Data Fabric data store and new HPE Ezmeral Marketplace provide enterprises with the environment of their choice, and with visibility and governance across all enterprise applications and data through an open, flexible, cloud experience everywhere,” chief technology officer and head of software Kumar Sreekanti said.
“HPE Ezmeral is invaluable to our customers that are now embracing a digital-first strategy, as is evident with our continued growth into new enterprise accounts. The enterprises that use data and artificial intelligence effectively are better equipped to evolve rapidly in a dynamic, constantly changing marketplace.”
HPE's head of the Ezmeral group for APJ Celine Siow told CRN the marketplace was "essentially a collaborative, one-stop shop for HPE Ezmeral-validated Independent Software Vendor (ISV) applications".
"The marketplace has been launched to help our clients and partners adopt integrated solutions that combine HPE Ezmeral software with validated industry-leading, third-party, commercial and open-source applications.
"Both partners and clients can buy HPE Ezmeral and the solutions available on the marketplace directly from the ISVs. For our channel partners, they have the ability to quickly and easily roll out containers in a hybrid and multicloud world for their customers.
"Partners get the flexibility Ezmeral provides for deployments from edge to cloud, with the ability to seamlessly move data in a unified software-defined environment. We will continue to strengthen and build out the ISV marketplace."