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Big Data Industry Predictions for 2021

2020 has been year for the ages, with so many domestic and global challenges. But the big data industry has significant inertia moving into 2021. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming.

Penguin Computing Announces OriginAI Powered by WekaIO

Penguin Computing, a division of SMART Global Holdings, Inc. (NASDAQ: SGH) and a leader in high-performance computing (HPC), artificial intelligence (AI), and enterprise data center solutions, announced that it has partnered with WekaIO™ (Weka) to provide NVIDIA GPU-Powered OriginAI, a comprehensive, end-to-end solution for data center AI that maximizes the performance and utility of high-value AI systems.

Examining Architectures for the Post-Exascale Era

On Wednesday, November 11th, at 9am PST, a group of researchers and industry players on the leading edge of a new approach to HPC architecture join to explore the topic in a webinar titled, “Disaggregated System Architectures for Next Generation HPC and AI Workloads.”

WekaIO Announces Cloud-Native, Unified Storage Solutions for the Entire Data Lifecycle

WekaIO™ (Weka), an innovation leader in high-performance, scalable file storage for data-intensive applications, today announced a transformative cloud-native storage solution underpinned by the fast file system, WekaFS™, that unifies and simplifies the data pipeline for performance-intensive workloads and accelerated DataOps.

Starting A Successful AIOps Initiative

In this special guest feature, Hari Miriyala, VP Software Engineering at cPacket Networks, discusses how many enterprises are considering or deploying AI/ML tools to make their IT team more efficient, reduce troubleshooting time, or improve their organization’s security. But without the right foundation of accurate, precise and consistent input data, this move to AIOps provides little value.

Big Memory Unleashes Big (Real Time) Data

In this special guest feature, Charles Fan, CEO of MemVerge, believes that in the years ahead, the data universe will continue to expand, and the new normal will be real-time analytics and AI/ML integrated into mainstream business apps … but only if in-memory computing infrastructure can keep pace. Therefore the bottom line is that Big Memory Computing–where memory is abundant, persistent, and highly-available–will succeed to unleash Big (real-time) Data.

Analyze-then-Store: The Journey to Continuous Intelligence – Part 2

This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.

Google Cloud Announces BigQuery Omni for Multi-cloud Analytics

A recent Gartner research survey on cloud adoption revealed that more than 80% of respondents using the public cloud were using more than one Cloud Service Provider (CSP)1. To address this multi-cloud reality, Google Cloud has announced BigQuery Omni, a multi-cloud analytics solution that enables customers to bring the power of BigQuery to data stored in Google Cloud, Amazon Web Services (AWS) and Azure (coming soon).

Model Risk Management in the Age of AI

In this contributed article, Stu Bailey, Co-Founder and Chief AI Architect of ModelOp, discusses how financial services companies can easily validate multiple AI/ML models and reduce ML project costs by 30% through automation. ModelOps refers to the process of enabling data scientists, data engineers, and IT operations teams to collaborate and scale models across an organization. This drives business value by getting models into production faster and with greater visibility, accountability and control.

Transform Raw Data to Real Time Actionable Intelligence Using High Performance Computing at the Edge

In this special guest feature, Tim Miller from One Stop Systems discusses the importance of transforming raw data to real time actionable intelligence using HPC at the edge. The imperative now is to move processing closer to where the data is being sourced, and apply high performance computing edge technologies so real time insights can drive business actions.