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.
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.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY
Upkeep Technologies | February 03, 2023
On February 2, 2023, UpKeep Technologies, a leading digital solutions provider for facilities and maintenance management, announced the launch of DataHub, its third product. A Cloud-based platform, DataHub enables enterprises to gather, manage, and analyze vital maintenance and facility data in real-time.
The new platform provides a single source of truth for maintenance and facilities data, making it easier for enterprises to make informed decisions regarding the upkeep of their facilities. DataHub is developed to seamlessly integrate with UpKeep's existing portfolio of maintenance management tools, offering a comprehensive solution for maintenance and facilities managers.
DataHub is created with robust security measures to safeguard the privacy and protection of sensitive maintenance and facility data. The platform is easy to use and highly configurable, making it a flexible solution for businesses of all sizes and sectors.
About Upkeep Technologies
Founded in 2014, UpKeep is a service-oriented firm that creates software to make maintenance easier for technicians and managers worldwide. It simplifies the work of facilities and asset management departments and enables maintenance staff to make better decisions based on data-driven insights. It helps facilitate managers' interaction with field technicians and for technicians to respond to urgent issues without rummaging through paperwork or returning to the office. Additionally, it makes it simple, intuitive, and mobile-first to complete work orders, so everyone can contribute and stay on the same page. UpKeep has over 100 remote staff members across the United States and has been named the #1 Facility Management software on Gartner, #1 Maintenance Management software on G2 Crowd, and FrontRunners on Software Advice.