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
August 6, 2020 by Leave a Comment
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
August 3, 2020 by Leave a Comment
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
July 14, 2020 by Leave a Comment
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
June 30, 2020 by Leave a Comment
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
June 25, 2020 by Leave a Comment
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.
AIOps – 6 Things to Avoid When Selecting a Solution
June 18, 2020 by Leave a Comment
In this special guest feature, Paul Scully, a Vice President at Grok, believes that sometimes it’s easier to look at what NOT to do in order to find an AIOps solution that will work for your company. Read on to learn more about what to avoid when it comes to finding an AIOps platform that will benefit your company.
Expansion of the Edge: The Preeminent Importance of Edge Computing Today
June 13, 2020 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper discusses how the reliance on edge components and edge processing is becoming more critical to the decentralized big data landscape, especially with the ongoing need to communicate remotely. It’s imperative to ensure edge networks can be remotely provisioned, secured, and available for fringe processing where applicable to continue to support what’s become a burgeoning need for the IoT in general.
Rubber Meets the Road: Reality of AI in Infrastructure Monitoring
April 23, 2020 by Leave a Comment
In this special guest feature, Farhan Abrol, Head of Machine Learning Products at Pure Storage, examines the disparity between the hype and what’s been delivered, and where we’ll see the most impactful advancements in efficiency and capacity in the coming year. The hype around artificial intelligence and machine learning’s potential to improve IT infrastructure continues to grow, as does enterprise investment in intelligent infrastructure management, however the anticipated value has yet to be realized.
Reality Bites: 3 Misconceptions that Can Lead to Microservice Mayhem
February 15, 2020 by Leave a Comment
In this contributed article, Eric D. Schabell, Global Technology Evangelist and Portfolio Architect Director at Red Hat, discusses how microservices are core to organizations’ flexibility and agility in the digital world. But that doesn’t mean that microservices are right for every use case or even for every organization—at least, not right now.
