BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Daasity | February 01, 2023
On January 31, 2023, Daasity Inc. announced the launch of ELT+ for Commerce, powered by Snowflake. Customers will benefit from ELT+ for Commerce since it will allow consumer companies selling via eCommerce, Amazon, retail, and wholesale to deploy a complete or partial data and analytics stack.
Building its solution on Snowflake has enabled Daasity to use Snowflake's unified, integrated platform to assist clients with data extraction, loading, transformation, analysis, and operationalization. With Daasity, companies can manage their whole data environment with a single platform that incorporates Snowflake.
Daasity provides data-driven omnichannel consumer branding. The Daasity platform, created by analysts and engineers, serves the diverse data architecture, analytics, and reporting requirements of consumer companies selling via eCommerce, Amazon, retail, and wholesale. Teams throughout the organization can use Daasity to gain a consolidated and standardized view of all their data, independent of the tools in their tech stack or how their future data requirements may evolve.
ELT stands for Extract, Load, and Transform, meaning that clients can extract data from multiple sources, load it into Snowflake, and transform it into actions that marketers can follow. Building on Snowflake allows product and engineering teams to create, expand, and manage their applications without incurring operating costs, allowing them to provide innovative solutions to their customers. Through the Powered by Snowflake program, developers have access to tools that assist them in designing, marketing, and operating Data Cloud apps.
About Daasity
Daasity, founded in 2017, is the first and only eCommerce analytics platform designed specifically for consumer goods businesses by market leaders. It centralizes a brand's data into a functioning data model so that it can evaluate and send its data to its primary marketing channels to get more value from the data. The adaptable modular data platform from Daasity enables businesses to discover insights from their data that enhance sales, optimize expenditures, and save expenses. Over 1,600 of the fastest-growing companies in the world rely on Daasity. It tailors a business intelligence solution to the unique requirements of consumer goods companies.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Alation | January 31, 2023
On January 30, 2023, Alation Inc., a leading enterprise data intelligence solutions provider, announced the participation of three more universities in its philanthropic initiative, The Data Intelligence Project. The University of Cincinnati in Ohio, The University of Arkansas in Little Rock, Arkansas, and The University of Stirling in Scotland are among the new joining universities. So far, more than 420 students have employed Alation in their courses, with this year's worldwide cohort using Alation to provide real-world exposure to hundreds of new students.
Launched in 2021, the Data Intelligence Project creates a more data-literate, inquisitive, and rational society by fostering the next generation of data professionals. Alation, as part of The Data Intelligence Project, introduces its data intelligence platform into academic institutions for free and offers undergraduate and graduate students a hands-on learning experience utilizing a collaborative data catalog.
Through this program students and professors get access to Alation guest speakers with subject matter knowledge and presentation topics covering analytics, data science, data intelligence, IT, engineering, and more. In addition, Alation University provides students with access to high-quality training materials to assist them in mastering technical skills and utilizing the data catalog.
The University of Wisconsin-Milwaukee, one of the program's early participants, is now in its third year of the program, and it is continuing to experience success in educating the next generation of data professionals. It is used by the institution to encourage students' interest in data intelligence and to provide emerging leaders with the tools they need to succeed in their careers.
In addition to enhancing existing engineering courses, the program increases students' marketability to the more than 450 firms that use Alation to seek job opportunities. Cisco, AbbVie, General Mills, Munich Re, Hertz, NASDAQ, Pfizer, Riot Games, Raiffeisen Bank, Salesforce, The Very Group, The University of Virginia, Vattenfall, Virgin Australia, and others are among Alation's customers.
This year, the program welcomed the first foreign university, The University of Stirling in Scotland, and will continue expanding globally. Alation will choose up to four additional academic institutions to join in The Data Intelligence Project in 2023.
About Alation
Founded in 2012, Alation is an industry leader in enterprise data intelligence solutions such as data search and discovery, data stewardship, data governance, analytics, and digital transformation. It integrates machine learning with human insights to solve even the most challenging data and metadata management issues, with its robust Behavioral Analysis Engine, inbuilt collaborative features, and open interfaces. Alation is employed by nearly 450 businesses, including American Family Insurance, AbbVie, Autozone, Draft Kings, Cisco, Exelon, Finnair, Fifth Third Bank, General Mills, Munich Re, NASDAQ, Pfizer, Parexel, Salesforce, Virgin Australia, and Vistaprint, to drive data culture, enhance decision-making, and achieve business outcomes.
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BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE
Arize AI | January 24, 2023
On January 23, 2023, Arize AI, an industry leader in machine learning observability, introduced a connection solution for BigQuery, Redshift, Delta Lake, and Snowflake data lakes. As a result, Arize customers with centrally managed inference stores can rapidly connect their ML table data to Arize via Data Lake Connectors for strong model observability.
Arize is the market leader in terms of both volumes of models and predictions tracked, surpassing billions of predictions daily. So far, ML observability platforms have struggled to simplify their deployments while simultaneously managing billions of predictions and complicated monitoring services, such as embedding drift. The latest Arize version for data connectors expands clients' connectivity options with the widely used data lakes.
The launch comes as the machine learning community converges on various MLOps designs. A modern machine learning architecture approach involves storing inference data in a data lake. ML teams are designing these ML data lakes to power feature stores for feature serving and an inference store for analysis.
Arize Data Lake Connectors are intended for smooth integration with today's data lake architectures. Among the benefits of connecting directly to the ML data store are the following:
Financial savings can be substantial as compared to alternative techniques of ML monitoring.
Teams can run off of an SSOT
Integration and onboarding are accelerated and simplified
Arize now connects with cloud storage providers (such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services), Python pipelines through an SDK, and Kafka Streaming. With this release, users of data lakes may get real-time model insights more efficiently than ever before. In addition, the platform provides fully managed built-in connectors as part of its cloud and VPC platform, eliminating the need for users to build and maintain complex data pipelines or use a separate ETL tool and providing real-time model performance analysis and monitoring.
About Arize AI
Arize AI offers an ML observability platform that monitors models and provides insights for troubleshooting production AI. The firm was established in 2020 in Berkeley, California. It allows corporate clients to monitor the performance of AI models using software that searches for unanticipated biases in algorithms, does root-cause analysis when issues arise, and enhances overall model performance. Arize operates in the background, analyzing internal and external data to forecast demand and eliminate supply chain network errors and sales losses. Adobe, Chick-fil-A, and eBay are among the fifty clients of Arize AI.
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