BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT
Alation | September 23, 2022
Alation Inc., the leader in enterprise data intelligence solutions, today announced a strategic partnership with Fivetran, the global leader in modern data integration, that enables joint customers to find and understand the full context of their data in the modern data stack. The partnership, powered by the new Fivetran Metadata API, unifies governed, trusted data from sources across an organization in one single view. As a result, data visibility increases and drives higher-quality data pipelines and better decision-making.
Alation and Fivetran are key elements of the modern data stack and support numerous joint customers, including Cimpress, Cisco, DocuSign, Genius Sports, Nielsen, Procore, Salesforce, and Slice. The strategic partnership provides shared customers with visibility into enterprise data as it moves through Fivetran-managed pipelines. Fivetran enables data and analytics teams to securely and easily move data from operational systems to analytics platforms. Alation enhances visibility into the data to speed pipeline development, ensuring users understand the wealth of information available and can derive insights from it. Together, the partnership merges data governance and data intelligence capabilities, improving data pipeline creation and informing business decisions.
“Alation is foundational for driving digital transformation. Our platform enables data and analytics teams to capture and understand the full breadth of their data, resulting in improved operational efficiencies and delivering more value to customers. “The partnership with Fivetran enhances Alation’s lineage graph, providing deep insight into data pipelines spanning operational data stores, data lakes and warehouses, and business intelligence tools. Now, users can easily unlock reliable and relevant data while also allowing teams to understand what data is available in the pipeline.”
Raj Gossain, Chief Product Officer at Alation
This partnership is driven by the need to enable users across an organization to find and use trusted, governed data to make informed, data-driven decisions. The modern enterprise relies on data intelligence and data integration solutions to provide access to valuable insights that feed critical business outcomes. Alation and Fivetran’s partnership simplifies data consolidation and pipeline creation, while aggregating governed, reliable data so organizations can get the most value from their data.
“Fivetran and Alation together enhance an organization’s visibility and effectiveness of data,” said Meera Viswanathan, Sr. Product Manager for Fivetran’s data governance capabilities. “Users of both solutions can accelerate data movement with a single pane view of data governance. Jointly, Fivetran and Alation ensure end users of data have high-quality and trusted data to drive decision-making.”
About Alation
Alation is the leader in enterprise data intelligence solutions including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. More than 400 enterprises drive data culture, improve decision making, and realize business outcomes with Alation including AbbVie, Allianz Global Investors, American Family Insurance, Autozone, Cisco, Draft Kings, Exelon, Fifth Third Bank, Finnair, General Mills, Munich Re, NASDAQ, Parexel, Pfizer, Salesforce, Virgin Australia, and Vistaprint. Headquartered in Silicon Valley, Alation has been named to Inc. Magazine’s Best Workplaces list three times and is a 2022 UK’s Best Workplaces™ for Women. The company is backed by leading venture capitalists including Blackstone, Costanoa, Data Collective, Dell Technologies, Hewlett Packard Enterprise, Icon, ISAI Cap, Riverwood, Salesforce, Sanabil, Sapphire, and Snowflake Ventures.
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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
About 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.
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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE
Makersite | September 28, 2022
Makersite, a world leader in bringing sustainability and cost insights into the early stage design process for the world’s leading brands, today announced partnering with Autodesk, the leader in product design software. The new partnership combines Makersite’s environmental impact and cost data with Autodesk Fusion 360’s product design data.
Sustainability begins at the heart of the product: its design phase. Still, less than 1% of products have sustainability as a design parameter. Even though the general public’s wish for sustainable products grows and emission regulations worldwide are becoming more and more, incorporating sustainability at the design level has been a challenge for most product designers in the past. Makersite’s partnership with Autodesk is changing this.
The new Fusion 360 plug-in features:
Allows designers to have Makersite instantly calculate the environmental and cost impacts of their design at the push of a button
Gives Fusion 360 users access to over 300 materials, cost, and sustainability insights based on the used structure, materials, and weight
Provides enhanced data sets on over 50 decision criteria such as compliance, risk, health, and safety in real-time
With this ground-breaking approach, product designers will no longer depend on experts or consultancies to design sustainable products. Instead, enterprise manufacturers will be able to use their own material masters and procurement data to enable teams to work toward sustainability goals led by design. This integration will enable more sustainable and successful designs, eliminate duplicative efforts and decrease time to market.
“The stats tell us that 80% of the ecological impacts of a product are locked down in the design phase. Therefore, the design phase of a product is the first and most necessary stage to get more sustainable goods into the world successfully,” shares Neil D’Souza, founder of Makersite. “However, eco-design is only feasible when designers have data about the sustainability of their product and its compliance, costing, environmental, health, and safety criteria. By integrating our data, AI, and calculation engines into Fusion, product designers are provided with clear and actionable insights so they can decide how to make their designs more sustainable,” D’Souza concludes.
“It’s Autodesk’s intent to make designing for sustainability easily accessible, and ultimately intuitive, to product designers,” said Zoé Bezpalko, Autodesk Senior Design and Manufacturing Sustainability Manager. “By partnering with Makersite, we’ve created a holistic workflow within Fusion that provides insights into sustainable design directly within the design environment. Data-driven analysis from Makersite will enable manufacturers to make better decisions about creating safer, more sustainable products,” she said.
“Companies are setting ambitious sustainability goals at high levels, sometimes as required by policy, but increasingly due to customer demand and as a source of competitive differentiation. The data that drives achieving those goals are often in disparate systems throughout the organization,” said Stephen Hooper, Autodesk Vice President & General Manager, Fusion 360. “We’re connecting relevant LCA data to the Fusion design workspace to help manufacturers meet their important sustainability goals,” said Hooper.
Autodesk will hold its premier annual conference for product designers and manufacturers, Autodesk University, in New Orleans September 27-29, 2022. Makersite will take the stage with Zoé Bezpalko to present the plug-in to attendees during the conference.
About Makersite
Makersite's SaaS platform delivers enterprise digital twins to enable change in complex business environments. By intelligently mapping customers' product data via AI with live data from 140+ supply chain databases, Makersite instantly delivers deep-tier supply chain twins with 90%+ accuracy. Customers can assess the digital product twins across 30+ business criteria such as risk, sustainability, compliance, and cost. The platform has many applications, helping global enterprises build resilient supply chains, accelerate product innovation, and achieve NetZero.
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