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Interview: Atif Kureishy, Global VP, Emerging Practices at Teradata

I recently caught up with Atif Kureishy, Global VP of Emerging Practices at Teradata, during the 2019 edition of the NVIDIA GPU Technology Conference, to get a deep dive update for how Teradata is advancing into the fields of AI and deep learning. He also speaks about the ways Teradata and NVIDIA are accelerating time to value for enterprise AI environments and gathering financial services insights from GPUs.

Furnace Serverless Apps Run Across Azure, GCP & AWS Natively, Scale Massively

Furnace Ignite Ltd announced that Furnace, the recently launched open source, Serverless, data streaming platform, now runs natively on Microsoft Azure and Google Cloud Platform, adding to the previously announced Amazon Web Services (AWS). Furnace helps organizations address their ‘Big Data’ challenges, using Serverless architecture across multiple Cloud platforms to easily leverage data from multiple sources, breaking through “Cloud vendor lock-in” impedances.

DataStax Announces Constellation, a Cloud-Native Data Platform

DataStax, the company behind a leading database built on Apache Cassandra™, announced DataStax Constellation, a cloud data platform that will simplify the development and operation of modern applications. Constellation will launch later this year with two cloud services: DataStax Apache Cassandra as a Service and DataStax Insights.

ScyllaDB Launches Scylla Cloud Database as a Service

ScyllaDB announced the launch of Scylla Cloud, a fully managed version of Scylla Enterprise, the ultrafast, scalable and cost-effective NoSQL database in production at leading companies across industries including mobile, IoT, finance, entertainment, social media, advertising and manufacturing.

Teradata Expands As-a-Service Offerings for Vantage

Teradata (NYSE: TDC), the Pervasive Data Intelligence company, announced three new offerings for its Teradata Vantage platform, reflecting Teradata’s commitment to offering as-a-service capabilities to meet the needs of their customers. These capabilities provide choice and flexibility for customers operating on Amazon Web Services (AWS) and Microsoft Azure, private cloud or hybrid cloud environments.

It’s Time for Enterprises to Stop Distracting their Developers

In this contributed article, Kieron-Sambrook Smith, Chief Commercial Officer for Platform.sh, discusses why enterprises tend to lose the forest (business goals) for the trees (container management), and the strategies they can implement to stop distracting their developers from doing what they do best: writing killer code.

Enterprises Seek to Improve Technological Infrastructure and Cloud Hosting Processes for Supporting AI

Today we continue the insideBIGDATA Executive Round Up, our annual feature showcasing the insights of thought leaders on the state of the big data industry, and where it is headed. In today’s discussion, our panel of experienced big data executives – Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software, Robert Lee, Vice President & Chief Architect, Pure Storage, Inc., and Oliver Schabenberger, COO & CTO at SAS – discusses enterprises seeking to improve their technological infrastructure and cloud hosting processes for supporting their AI, machine learning, and deep learning efforts.

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.