BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA ARCHITECTURE
Couchbase | January 19, 2023
On January 18, 2023, Couchbase, Inc., a cloud database platform company, announced the availability of Couchbase Capella™ Database-as-a-Service (DBaaS) on Azure. As a result, customers of Couchbase will be able to take the benefits of the trusted Azure cloud platform with smooth deployment and management.
Capella on Azure enables clients to enhance application alignment and support hybrid and multi-cloud strategies on a single platform. In addition, it delivers the best price-to-performance ratio among DBaaS providers.
General Manager of Microsoft Azure at Microsoft Corp, Jake Zborowski, said, "With Capella on Microsoft Azure, customers around the world can easily deploy premium-experience modern applications to run on the trusted Azure platform." He also stated, "We're happy to welcome Couchbase Capella to the growing Azure ecosystem."
(Source – Cision PR Newswire)
Capella is an entirely managed DBaaS that offloads database operations. As a result, it drastically reduces the total cost of ownership, provides developers with database flexibility, and allows performance at scale for creating modern applications. In addition, the familiarity with SQL++ as the query language and the new user interface of Capella, which was influenced by popular developer-centric tools such as GitHub, reduces the learning curve for developers and other users across companies, resulting in better agility and productivity.
Couchbase Capella’s client advantages include:
Development flexibility
Mobile and IoT app synchronization
Multi-cloud
High availability and automated scaling
Cost efficiency at scale
Senior VP of Product Management and Business Operations at Couchbase, Scott Anderson, said, "We are investing heavily in making Capella more accessible than ever before to give developers and organizations a cloud database platform to power their most mission-critical applications." He added, "Providing flexibility to go across cloud service providers is a huge advantage in today's multi- and hybrid-cloud world. By extending Capella to Azure, we can better support our customers as they deploy innovative applications on the cloud of their choice."
(Source – Cision PR Newswire)
About Couchbase
Couchbase, Inc. is an American public software firm that develops and offers commercial packages and support for Couchbase Server and Couchbase Lite, which are both open-source, NoSQL, multi-model, document-oriented database software packages that store JSON documents or a key-value database. The company's objective is to make it easier for developers and architects to create, deploy, and use modern apps in any location. It has redesigned the database with its fast, flexible, and cost-effective cloud database platform, Capella, enabling enterprises to develop apps that offer superior customer experiences rapidly. Over 30 percent of Fortune 100 rely on Couchbase to power their modern apps.
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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.
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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)
About Tredence
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.
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