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.
BIG DATA MANAGEMENT,DATA ARCHITECTURE,BUSINESS STRATEGY
WANdisco | January 20, 2023
On January 19, 2023, WANdisco, a data activation company, announced the launching of its Data Activation Platform 2.0 to enable faster migrations of massive datasets. Leveraging both the WANdisco Data Migrator and Edge to Cloud technologies, the updates enhance the speed and scalability of on-premises and edge data transfers through high precision control over migration throughput, prioritization, and cleanup, among other capabilities. In addition, the updates improve data movement performance from Hadoop environments and IoT sensor data to any cloud, boosting the commercial value of data regardless of where it resides.
Organizations maintain a complicated data web that spans numerous storage environments with channels that connect to multiple clouds. According to IDC, businesses store data across five primary domains, but mostly in on-premises, edge locations, and public cloud.
Furthermore, 69% of data leaders are unable to use their data due to lengthy timelines, high costs, and risk of data transfers between environments, as per the 2022 State of Data Activation report. Multi-cloud strategies, in which organizations use artificial intelligence (AI), machine learning (ML), and analytics capabilities of different clouds for distinct use cases, add to this complexity.
Data Activation Platform 2.0 offers granular control over all or selective data transfers within a streamlined user interface. New automated tools optimize migration and storage resources across environments, with the goal of increasing the speed at which large-scale datasets can be migrated to any cloud.
David Richards, CEO and Founder of WANdisco, said, "Businesses face a dizzying challenge in moving massive amounts of data from a lot of sources to a lot of targets. As data continues to amass at the edge and on-premises at an unprecedented pace, solutions must improve to handle massive data transfers at incredible speeds – but also deliver a seamless experience." He further added, "Data Activation Platform 2.0 does just that. Now enterprises will have even greater control over all, or specific, data transfers happening across their business."
(Source – Cision PR Newswire)
Headquartered in San Ramon, CA, WANdisco is the world's first and only data activation platform for pacing-up digital transformation at scale. The company makes unlimited data actionable in real-time across clouds and enterprises. Customers of WANdisco use the cloud to drive AI and machine learning, transform enterprises, and create new services with zero downtime, data loss, or disruption. WANdisco has over a hundred customers, substantial go-to-market collaborations with organizations such as Microsoft Azure, Databricks, Google Cloud, Amazon Web Services, Oracle, and others, as well as OEM relationships with Alibaba and IBM.