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R2.ai Launches SaaS-based AutoML Tool to Drive Mass AI Adoption

R2.ai, which enables businesses and individuals to develop AI solutions on their own, announced the availability of its software as a service (SaaS) offering. Originally an on-premise solution, R2.ai’s new SaaS platform makes it easier for a broader range of businesses and individuals to develop and deploy AI with little AI expertise.

Machine Learning Deployment Options: in the Cloud vs. at the Edge

In this special guest feature, Neil Cohen, Vice President at Edge Intelligence, examines the question: where should businesses develop and execute machine learning? This article explores the pros and cons of in the cloud versus at the edge.

Managing the Threat Above—How AI Can Streamline Cloud Computing with Burgeoning Data Growth

In this special guest feature, Tyrone Pike, President & CEO of FileShadow, Inc., observes that the number of files transferred daily makes it extremely difficult to manage manually, but AI is improving cloud technology to handle the influx. Applying AI to cloud storage enables users to gather, analyze, catalog and protect more data than ever before.

Video: New Survey Looks at What’s Driving Companies to the Cloud

In this video from KubeCon 2018 in Seattle, Abby Kearns from the Cloud Foundry Foundation looks at the results of a recent survey on key factors driving the enterprise to the Cloud. “We’re seeing a virtuous cycle, as comfortability with one technology results in lightning-speed adoption of more advanced technologies. In a decade, we can expect serverless to be as commonplace as PaaS.”

Executive Spotlight: Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software

The insideBIGDATA 2019 Executive Round Up features insights from industry executives with lengthy experience in the big data industry. Here’s a look at the insights from Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software. Ayush has deep software engineering expertise around big data solutions & has strong domain knowledge around Hadoop, MPP database & Systems, Performance Engineering & Data Integration. Before Unifi he was part of founding engineering team at Greenplum.

Why Your AI Workflow Needs Software-based Secondary Storage

In this special guest feature, Geoff Bourgeois, Co-founder and CEO of HubStor, discusses how one of the chief obstacles to executing AI is managing massive volumes of unstructured data. The trick is keeping this data intact to your AI/ML infrastructure without adding silos and layers of complexity. Secondary, scale-out, and cloud storage components are essential to large-scale AI projects, but they shouldn’t be independent silos that make it challenging to tier and recall data sets as needed.

5 Takeaways from re:Invent 2018. Because What Happens at re:Invent Doesn’t Stay at re:Invent

In this contributed article, Claire Giordano from Citus Data, provides a compelling Field Report for the recent AWS re:Invent conference in Las Vegas. She offers 5 key takeaways from the show that will get your cloud juices flowing.

Global Survey: Maturity of the Technology Spurs Cloud Adoption More than Business Drivers or Culture Change

Business goals are not enough to compel companies to move to the cloud—rather, it is the maturity, flexibility and reliability of cloud technology that are driving companies to increase and expand their adoption, according to the latest report released today by the Cloud Foundry Foundation, home of a family of open source projects including Cloud Foundry Application Runtime, Cloud Foundry Container Runtime, and Cloud Foundry BOSH.

Leveraging the Cloud to Better Mine Data in the Extreme Data Economy

In this special guest feature, Nima Negahban, CTO and Co-founder of Kinetica, observes that the demand for cloud solutions for data analytics is skyrocketing, and advanced analytics software now exists that supports both private and public cloud. No longer is it about businesses making decisions informed by data; in today’s Extreme Data Economy, data is the business.

YotaScale Announces Autonomous Cloud Operations Platform

YotaScale, a leader in Autonomous Cloud Operations, announced the general availability of its customer-proven, AI-powered cloud operations platform. YotaScale delivers Autonomous Cloud Operations with a platform that provides intelligent, actionable insights to cloud operations, allowing teams to take ever-changing application needs into account and optimize the infrastructure to meet business needs.