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News, reviews and feature articles on companies that are changing how organizations leverage massive volumes of data

The insideBIGDATA IMPACT 50 List for Q2 2021

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

At John Deere, ‘Hard Iron Meets Artificial Intelligence’

Intel and John Deere developed an integrated, end-to-end system of hardware and software that can generate insights in real-time, at levels beyond human capability. When using a neural network-based inference engine, the solution logs defects in real-time and automatically stops the welding process.

Accelerated Integration of Eventador with Cloudera – SQL Stream Builder

Within 5 months after the acquisition of Eventador, Cloudera announced that SQL Stream Builder is now being re-launched as Cloudera SQL Stream Builder. This is being done after it was fully integrated with Cloudera Data Platform’s (CDP) Shared Data Experience (SDX). This means that SQL Stream Builder can take advantage of the same unified security and governance as the rest of the platform does, using SDX.

Deci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUs

Deci, the deep learning company building the next generation of AI, announced a broad strategic business and technology collaboration with Intel Corporation to optimize deep learning inference on Intel Architecture (IA) CPUs. As one of the first companies to participate in Intel Ignite startup accelerator, Deci will now work with Intel to deploy innovative AI technologies to mutual customers.

How ML Powers Data Access Governance with Immuta & Databricks

If data isn’t accessible for real-time analytics, is it still valuable? Immuta’s native Databricks integration avoids this dilemma by using ML to streamline data access governance, and deliver analytics-ready data quickly and securely. For Databricks users leveraging Immuta, ML drives sensitive data discovery, dynamic access control, and consistent policy enforcement.

GridGain 8.8 Advances Its Multi-Tier Database Engine to Scale Beyond Available Memory Capacity and Meet Growing Customer Demand

GridGain® Systems, provider of enterprise-grade in-memory computing solutions powered by the Apache® Ignite® distributed database, announced GridGain 8.8, the latest release of the company’s in-memory computing platform. The release features enhanced support for GridGain’s multi-tier database engine, which scales up and out across memory and disk.

Four Reasons On-premises Object Storage is Right for Today’s Businesses

In this special guest feature, Marcel Hergaarden, senior manager for product marketing at Red Hat, explains why he believes on-premises object-based storage is the correct approach for organizations that want better control over their data and greater cost savings.

Databricks Launches SQL Analytics to Enable Cloud Data Warehousing on Data Lakes

Databricks, the data and AI company, announced the launch of SQL Analytics, which for the first time enables data analysts to perform workloads previously meant only for a data warehouse on a data lake. This expands the traditional scope of the data lake from data science and machine learning to include all data workloads including Business Intelligence (BI) and SQL.

Research Highlights: Singapore Researchers Look to Intel Neuromorphic Computing to Help Enable Robots That ‘Feel’

Today, two researchers from the National University of Singapore (NUS), who are members of the Intel Neuromorphic Research Community (INRC), presented new findings demonstrating the promise of event-based vision and touch sensing in combination with Intel’s neuromorphic processing for robotics. The work highlights how bringing a sense of touch to robotics can significantly improve capabilities and functionality compared to today’s visual-only systems and how neuromorphic processors can outperform traditional architectures in processing such sensory data.

Video Highlights: Delivering the Enterprise Data Cloud

In the video presentation below from the O’Reilly Strata Data Conference, Arun Murthy, co-founder of Hortonworks and current CPO of Cloudera, discusses how enterprises can extract and act on big data.