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.
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.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA ARCHITECTURE
TimeXtender | February 02, 2023
On February 01, 2023, TimeXtender, an emerging developer of data management solutions designed to help businesses make decisions faster, announced that its users will now be able to use Snowflake as a storage option for the Modern Data Warehouse (MDW), complimenting Synapse and SQL.
Snowflake is a cloud-based data warehouse platform intended to make storing and analyzing data of all sizes simple and cost-effective, allowing businesses to obtain insights swiftly and make thorough data-driven decisions. Snowflake's innovative architecture uses the cloud to deliver a flexible solution with immeasurable scalability, making it a popular choice for analytics and modern data warehousing projects.
Heine Krog Iversen, TimeXtender's Founder and CEO, said, "For the first time ever, users can deploy a TimeXtender data warehouse to non-SQL data storage, while taking advantage of all the powerful data warehousing features that Snowflake offers." He also mentioned, "Support for Snowflake as a storage target offers a modern, scalable, cloud-based solution for storing and analyzing vast amounts of data, which contributes to our goal of helping users become data-empowered."
(Source – Business Wire)
TimeXtender recently introduced a new Free Plan, which enables users to try their comprehensive data integration solution before committing to a paid plan. Users can now thoroughly explore and evaluate the TimeXtender product to determine whether it is a good fit for their needs at no cost.
The following are the specifications of TimeXtender's new Free Plan:
Free Access: The Free Plan enables users to try TimeXtender for free and see what it is like to build data solutions 10x faster without any immediate cost.
Full Functionality: While there are some limitations, the Free Plan nevertheless gives customers access to all features and capabilities of TimeXtender, giving users a good idea of the product's potential.
Knowledge & Support: Users who sign up for the Free Plan will receive assistance from TimeXtender's Training Courses, Knowledge Base, and Community Forum, where they can share knowledge, ask questions, and connect with other TimeXtender users.
Easy Upgrades: Users who start with the Free Plan can easily upgrade to a premium plan if they require more sophisticated features or assistance.
TimeXtender is a comprehensive, metadata-driven data integration solution. The company provides all of the capabilities businesses need to build a prospective data environment capable of ingesting, modeling, transforming, and delivering clean, reliable data as quickly and efficiently as possible. Businesses can't optimize for everything at the same time. That is why TimeXtender takes a comprehensive strategy for data integration that prioritizes agility over fragmentation. TimeXtender enables companies to build data solutions 10x faster while decreasing costs by 70%-80% by unifying each layer of the data stack.
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.