AI TECH, GENERAL AI, MACHINE LEARNING

Arize AI Expands Partnership with Google Cloud To Accelerate Machine Learning Observability

Arize AI | September 30, 2022 | Read time : 02:50 min

Arize AI
Arize AI announced today that its machine learning (ML) observability platform is now available on Google Cloud Marketplace. This availability marks the expansion of the company's partnership with Google Cloud, which will help Arize deliver its platform – which tracks billions of model predictions daily – to more customers globally.

With Arize available on Google Cloud Marketplace, customers already leveraging Google Cloud can easily deploy Arize to their cloud environment, speeding their time-to-value. In a matter of minutes, teams can start streamlining their ML troubleshooting efforts with Arize through purpose-built workflows and analytics for model performance management, drift detection, data quality checks, and model validation. This will also provide greater migration support to existing Arize customers as they move their on-prem Arize instances onto Google Cloud's global infrastructure.

In addition to bringing its platform to Google Cloud Marketplace, Arize is significantly expanding its use of Google Cloud technology and services as a part of this expanded partnership. Arize, which runs its platform on Google Cloud's secure infrastructure, will increase its use of Google Kubernetes Engine (GKE) to support its hosting production, developer onboarding, and application data management as it scales to meet the growing demand for its solution.

"AI continues to change the way organizations automate operations and deliver innovative products and solutions to customers. "We're proud to support the growth of innovators like Arize with the infrastructure, cloud technologies, and go-to-market expertise needed to empower more customers and their machine learning teams with robust ML observability solutions."

Drew Bradstock, Director, GKE Product Management, Google Cloud

"ML teams count on Arize to be able to handle current and future analytics complexity and scale, and we built the platform with that in mind," said Michael Schiff, Chief Architect and Founding Engineer at Arize. "Having a partner like Google Cloud has been invaluable to Arize's growth, and we look forward to delivering our solutions to more companies through this expanded partnership."

About Arize AI
Arize AI is a machine learning observability platform that helps ML teams deliver and maintain more successful AI in production. Arize's automated model monitoring and observability platform allows ML teams to quickly detect issues when they emerge, troubleshoot why they happened, and improve overall model performance across both structured and unstructured data. Arize is a remote first company with headquarters in Berkeley, CA.

Spotlight

Today, virtually everything in business is becoming digitally enabled, and enterprise WANs are a driving force for this enablement. Business is conducted over distributed networks, yet when the network is unable to respond to changing business demands and new market opportunities, transactions suffer.

Spotlight

Today, virtually everything in business is becoming digitally enabled, and enterprise WANs are a driving force for this enablement. Business is conducted over distributed networks, yet when the network is unable to respond to changing business demands and new market opportunities, transactions suffer.

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AI TECH, GENERAL AI

AB Tasty acquires AI-driven personalization provider Epoq to usher in new era of experience optimization

AB Tasty | October 10, 2022

AB Tasty, the fast-growing global experience optimization company, announced today that it has acquired Epoq, an AI-driven recommendation and smart search solution. The acquisition accelerates both companies' shared vision of empowering digital teams to deliver relevant and engaging shopping experiences along the consumer journey with a best-in-class experience optimization platform. "The Epoq team is the perfect addition to AB Tasty, bringing expertise, insights and sophisticated products. We are excited to unlock more value for our customers, who will now have unparalleled recommendation and search capabilities at their fingertips," said Alix de Sagazan, AB Tasty CEO and co-founder. Since 2003, the Ettlingen, Germany-based Epoq has created customized e-commerce solutions for every part of the customer journey from product research, selection, buying intent to customer loyalty. Their decades-long expertise comes at an advantageous time in the context of digital acceleration and soaring demands for unique experiences. "Joining forces with AB Tasty makes us more formidable players in the market," said Thorsten Mühling, Epoq CEO and co-founder. "This is a great opportunity for Epoq to add more value along the consumer journey — not just in Germany, but on a global scale." Epoq's AI-powered recommendation engine enables brands to showcase the most relevant products or content by analyzing shoppers' click-and-buy behavior via a robust library of algorithms. With search, businesses can provide consumers with a targeted buying journey, ensuring they find a direct way to the product. In today's tech stack, when recommendation and search engines are developed separately, they aren't able to communicate with each other. Epoq connects the two solutions in a knowledge center, where each action feeds the other to enhance the results. Epoq complements AB Tasty's client-side and server-side experimentation and personalization solutions. AB Tasty enables marketing, product and tech teams to easily validate their ideas and optimize conversions on digital channels. Together, they create a 1:1 personalized experience for consumers — and help brands deliver "wow" user experiences. "The pandemic triggered an e-commerce boom, with half of transactions coming from search requests and a third of that from recommendations," said Remi Aubert, AB Tasty CEO and co-founder. "People using e-commerce site search expect the same level of precision as they do from Google. With Epoq, we are easing our clients' lives, accelerating the delivery of tailored experiences and driving profitability." This acquisition makes AB Tasty the first company in its class to offer a consolidated approach in experience optimization with experimentation, personalization, recommendation and intelligent search. The deal will also strengthen AB Tasty's customer base and product portfolio. With Epoq joining AB Tasty's global ecosystem, the company now boasts over 1,100 clients and 320 employees, with 13 offices in key markets such as France, Germany, UK, US and APAC. The announcement comes after AB Tasty's $40 million Series C fundraising. In the past two years, AB Tasty has grown 200% internationally and has added brands such as Kering, McDonald's and Ulta Beauty to its roster, joining L'Oreal, Disneyland Paris and LVMH. Meanwhile, server-side solution Flagship was named a leader in "The Forrester New Wave™: Feature Management And Experimentation." About AB Tasty AB Tasty is a global leader in experimentation, personalization and feature management solutions — enabling companies to validate ideas while maximizing impact, minimizing risk and accelerating time to market. Enterprises use AB Tasty and Flagship solutions to align marketing, product and engineering teams and ensure efficiency, reduced costs and optimal end-user experiences. Founded in 2013 in Paris, AB Tasty is built for businesses looking to use controlled experimentation to implement only the best ideas. To learn more, visit www.abtasty.com. About Epoq Epoq internet services GmbH provides a software suite for digital commerce personalization. With modular, customized services based on AI, Epoq creates unique shopping experiences along the customer journey. Consumers receive orientation, advice and inspiration when shopping online. After purchasing, they receive shopping news in real time, encouraging them to return to the online store. Consumers also receive personalized emails to stay in touch with the stores.

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AI TECH,AI APPLICATIONS,SOFTWARE

OutSystems Introduces AI Mentor System to Accelerate Developer Productivity, Dramatically Improve Code Quality, and Crush Technical Debt

OutSystems | November 16, 2022

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The AI Mentor System also automates repetitive tasks, eliminates tedious work, and validates applications before they go into production to ensure they are built and maintained to the highest possible quality standards. Each of the AI Mentors serve as developers’ assistants, improving the development process for dramatic efficiency. "The traditional software development approach needs to change and our advanced AI literally shaves weeks and months off of the development process, while increasing the quality and security of every app," said Gonçalo Gaiolas, OutSystems Chief Product Officer. “AI Mentor System is like having a team of experts enhancing and extending the collective expertise of your team. OutSystems is catching potential issues and serving up solutions for the dev team, so they can focus on creating awesome solutions. This System is a prime example of high-performance low-code, with the agility of a visual programming language and a powerful AI engine, supporting faster and more accurate development at every stage.” AI Mentor System Capabilities The OutSystems AI Mentor System is an evolution of the previous Architecture Dashboard within the OutSystems Platform, offering more robust capabilities and integrating new patent-pending AI technology. The solution includes the following Mentors: Code Mentor – Breakthrough AI-assisted development predicts what to do next, suggests the best option, and adds it to a developer’s code, fully configured and adapted to the business logic and context. Additionally, Code Mentor enables developers to use natural language to describe complex data required for an application and the built-in AI will automatically generate the proper SQL query, saving developers an enormous amount of time. 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Cross-Industry Hardware Specification to Accelerate AI Software Development

Intel | September 17, 2022

Arm, Intel and Nvidia have jointly authored a paper describing an 8-bit floating point (FP8) specification and its two variants E5M2 and E4M3 to provide a common interchangeable format that works for both artificial intelligence (AI) training and inference. This cross-industry specification alignment will allow AI models to operate and perform consistently across hardware platforms, accelerating AI software development. Computational requirements for AI have been growing at an exponential rate. New innovation is required across hardware and software to deliver computational throughput needed to advance AI. One of the promising areas of research to address this growing compute gap is to reduce the numeric precision requirements for deep learning to improve memory and computational efficiencies. Reduced-precision methods exploit the inherent noise-resilient properties of deep neural networks to improve compute efficiency. Intel plans to support this format specification across its AI product roadmap for CPUs, GPUs and other AI accelerators, including Habana Gaudi deep learning accelerators. FP8 minimizes deviations from existing IEEE 754 floating point formats with a good balance between hardware and software to leverage existing implementations, accelerate adoption and improve developer productivity. The guiding principle of this format proposal from Arm, Intel and Nvidia is to leverage conventions, concepts and algorithms built on IEEE standardization. This enables the greatest latitude for future AI innovation while still adhering to current industry conventions.

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