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
Analytics8 | September 23, 2022
Analytics8, a data and analytics consulting firm that specializes in designing, developing, and deploying modern data solutions, has announced the acquisition of Denver-based Mashey, a high-end data analytics consultancy focused on modern data technology.
The move to acquire Mashey—which was finalized on Sept. 16, 2022—enables Analytics8 to further its goal of continued growth while providing exceptional data services to clients, career development opportunities for its staff, and enhanced partnerships with industry vendors.
"Our objective is to build Analytics8 into the premier independent data and analytics consulting firm in North America." said David Fussichen, CEO of Analytics8. "This is another step in that direction."
"We are delighted to welcome Mashey's entire team because they demonstrate and support the core values and business philosophy of Analytics8—where employees can grow their careers by engaging in interesting, meaningful client work, and where clients can come to expect the best experience working with a data and analytics consultancy."
Mashey brings to Analytics8 additional capabilities around modern data technology, including dbt, Fivetran, Snowflake, Looker, Qlik, Airbyte, Sigma, Monte Carlo, and Firebolt, along with valued perspectives that come with years of experience in the data and analytics space.
"We aim to be the best data analytics team possible, both for our customers and for ourselves," said Philip Lima, founder of Mashey. "Combining the Mashey team with Analytics8 will ensure we all get there even faster."
As Analytics8 sets goals for continued growth, the company also renews its commitment to its employees, to foster an environment that promotes inclusivity and career development; and to its clients, to provide customer-centric data services that change how they work with data.
If you're interested in learning more details about this acquisition, check out the interview with Analytics8 CEO, David Fussichen, and Mashey founder, Philip Lima.
About Analytics8
Analytics8 helps organizations make smart, data-driven decisions by translating their data into meaningful and actionable information. Our data consultants help with the entire data and analytics lifecycle—from strategy to implementation—so companies can make sense of their data and use it to solve complex business problems.
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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT
Dataddo | September 28, 2022
Dataddo, an SaaS startup that provides an automated, no-code data integration platform, today announced the launch of its Free plan—the first-ever free data integration plan with no extraction limits. This is a no-investment way for any professional, regardless of technical skill, to access and start working with data from disparate sources. The plan comes as a response to company cultural obstacles that hinder adoption of data initiatives within organizations across industries, such as low data literacy.
For at least the last five years, the grand majority of leading companies across industries has been investing in data initiatives, with the percentage today being as high as 97%. Yet only 26.5% of these companies claim to actually be data-driven.
Mounting evidence suggests that the main reason for this discrepancy is company culture, meaning both lack of executive buy-in on initiatives and lack of employee confidence in data skills. In a recent survey by Accenture of 9,000 employees from companies across industries, nearly three quarters of respondents (74%) claimed to feel “overwhelmed or unhappy when working with data.” This is critical because, as Gartner states, “the real drivers of [data-driven culture] are the people.”
Dataddo’s Free plan aims to help businesses overcome these obstacles by making it easier for them to share data and familiarize employees with visualization tools before investing in paid tools. The plan is the first free data integration plan on the market that puts no cap on extraction limits, and it can be used for an unlimited period of time.
Under the plan, subscribers can access any ten of Dataddo’s 200+ connectors and automate the synchronization of any volume of marketing, sales, financial, and other cloud data to up to three dashboarding applications and/or Google Sheets weekly. The company offers a growing library of free templates for popular dashboarding applications, enabling professionals with any level of data skill to start analyzing immediately.
The platform is SOC 2 Type II certified and compliant with all major data privacy laws around the globe, including ISO 27001, GDPR for Europe, CCPA and HIPAA in the US, LGPD for Brazil, POPIA for South Africa, and more.
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