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,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.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Hightouch | January 30, 2023
Hightouch, the industry leader in data activation, announced the availability of the Personalization API, a low-latency API intended to customize any customer experience. The Personalization API enables any system, including internal and external SaaS applications, to get cloud warehouse data with a response time of fewer than 30 milliseconds.
The feature integrates seamlessly with all prominent data warehouses and transactional SQL and NoSQL databases and supports any data structure (e.g., people, corporations, products). Now, all corporate users have access to client data in real time, whenever and wherever they need it.
Modern customers want, if not expect, individualized experiences with every company interaction. A recent Forrester survey revealed that 68% of consumers prefer to return to an unsatisfactory website or business. However, according to a recent Gartner report, as many as 63% of digital marketers still need to grasp the promise of customization technologies. Hightouch's Personalization API solves this pain point. It makes it simple for any business team to use the modeled data in the warehouse and transform it into captivating real-time customer experiences.
Businesses can handle a variety of new use cases using the personalization API, making it simpler than ever to create personalized client experiences, including:
Delivering in-app or web personalization like article recommendations, customized search results, or nearest store locations to drive conversions
Powering tailored marketing campaigns by enhancing marketing touchpoints with dynamic data points, such as product suggestions, through consumer interaction platforms
Optimizing product testing by providing decision and experimentation systems with consumer information, such as audience inclusion or exclusion
Hightouch is the premier platform for data activation powered by Reverse ETL. Integrate customer data from your warehouse with the technologies used by your business teams. From sales and marketing to support and customer success, all business teams want timely, accurate, and relevant customer data to give context to their current products. It makes your data actionable, whether boosting connections with clients through CRM, refining ad text, or customizing email. The company is based in San Francisco, CA, and is backed by top investors, including Amplify Partners, ICONIQ Growth, Bain Capital Ventures, and Y Combinator.