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.
BIG DATA MANAGEMENT, DATA ARCHITECTURE, DATA SCIENCE
Semarchy | January 25, 2023
On January 24, 2023, Semarchy, an industry leader in master data management and integration, introduced data-driven workflows for its award-winning xDM module. With Semarchy's workflows, businesses can jointly manage, convert, and organize raw data into "single source of truth" golden records for every business use case. In addition, workflows integrate with their unified data platform, significantly improving the whole data management experience with a single, no-code solution that can be installed everywhere.
François-Xavier "FX" Nicolas, Semarchy's Chief Product Officer, said, "This new data-driven workflow release is a bridge between the worlds of data and processes." He added, "It brings the best of these two worlds to Semarchy's users, upholding the fundamental principles of our product vision: capabilities unified in a low/no-code platform and best-in-class use of the technologies selected by our customers."
(Source – Cision PR Newswire)
As businesses grow from silo operations to process-led and ultimately data-driven futures, collaborative governance and dynamic workflows are necessary. Semarchy's workflows are inimitable in their pace, dynamism, and integration, enhancing business and data team cooperation.
The data-driven, no-code workflow design minimizes technical resources and deployment time while enhancing end users' adoption rate and experience. xDM's premier master data management platform is natively merged with Semarchy's workflows as a single integrated solution to decrease data ownership overhead.
The new workflows maintain Semarchy's commitment to accelerating time to value. Key benefits include enhanced operational productivity by dismantling data silos, optimizing processes, and strengthening organizational collaboration; drastically reduced data management operational overhead; and increased enterprise agility with end-to-end clarity of unified data workflows for improved decision-making.
Early Access Program (EAP) feedback demonstrated overwhelming approval for Semarchy's redesigned interface, which speeds end-user adoption for managing and performing assigned workflow tasks. Other feedback indicates industry-specific advantages for firms such as Semarchy's U.S. partner, IMT Healthcare.
Semarchy, an industry leader in data integration and master data management, enables businesses to derive commercial value from data swiftly. Its single platform lets enterprises of any size rapidly identify, administer, manage, integrate, and display essential data distributed across disparate applications. The firm is natively accessible on AWS, Google Cloud Platform, and Microsoft Azure, in addition to being offered as an on-premises solution. In addition to being maintained as a service, it is backed by an extensive ecosystem of software-as-a-service (SaaS) and professional service partners. The company has offices in Phoenix, United States; London, United Kingdom; Lyon, France; and Mexico City, Mexico.
BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE
Tredence Inc. | January 17, 2023
On 16 January 2023, Tredence, a global data science and AI solutions provider, announced the launch of an intelligently engineered platform, ATOM.AI. The platform is an end-to-end AI accelerator that accelerates data and analytics modernization.
The announcement to launch ATOM.AI was made at the National Retail Federation (NRF), the leading retail industry show, for retailers and consumer goods companies.
ATOM.AI assists industries in data transformation into winning results by reducing the time to value by fifty percent. This is possible with the platform's advanced AI/ML capabilities, pre-built feature stores, technical notebooks, deep data sets, and integrations with third parties.
At NRF, Tredence will launch ATOM.AI, which powers the deployment and development of retail and CPG-centric AI applications 50% faster. The solution is built on the Databricks Lakehouse Platform.
ATOM.AI is a data and AI platform powered by leading hyperscales which consists of five modules designed to drive efficiency AI solution development and deployment phase
Data Works- to harmonize external and internal data and build a comprehensive feature store
Algo Works - to accelerate ML model development and enhance algorithm performance
UI/UX Works - to speed up application design with pre-built UI/UX templates
Solution Works - pre-built AI/ML solutions for large industries
Automation Works - integrates, orchestrates, deploys, and scales AI
Soumendra Mohanty, Chief Strategy Officer, Tredence, said, "Enterprises across all industries are examining ways to embed AI into their core business processes. However, only 53 percent of AI projects make it from prototype to production. In contrast to the previous technology transformations, AI is vastly different." He added, "We are dealing with a nonlinear condition here. ATOM.AI equips companies to put AI at the center of their transformation strategy while also delivering on our last-mile AI mission. With ATOM.AI, Tredence places a heavy emphasis on ROI."
(Source: PR NewsWire)
Tredence is a worldwide provider of data science solutions aiming to address AI's last-mile challenge. The gap between value realization and insight creation defines the last mile. Tredence has been acknowledged as a leader and a great place to work-certified in the Forrester WaveTM: Customer Analytics Services. The company is based in San Jose (California) and has offices in Foster City, Chicago, London, Toronto, and Bangalore.