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DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain

The survey associated with this report, commission by Immuta, focused on identifying the limiting factors in the data “supply chain” as it relates to the overall DataOps methodology of the organization. DataOps itself is the more agile and automated application of data management techniques to advance data-driven outcomes, while the data supply chain represents the technological steps and human-involved processes supporting the flow of data through the organization, from its source, through transformation and integration, all the way to the point of consumption or analysis.

Webinar: How to Use External Consumer Insights and Marketing Data to Build a Customer-centric Business

[SPONSORED CONTENT] In this virtual session, AWS Data Exchange will host a discussion with thought leaders from companies such as Acxiom and BlastPoint. They will share how organizations from big box retailers to automotive brands are using consumer insights data to reach new customers, drive real business change, and increase longevity. MON, SEPTEMBER 27 at 11AM PT | 2PM ET

Best of arXiv.org for AI, Machine Learning, and Deep Learning – August 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Competitive Tech Companies Lead with Culture to Land Top Talent

In this contributed article, Danielle Jones, Director of Service Operations with Insperity, discusses how competing for high-caliber talent is one of the biggest challenges faced by tech companies of all sizes. With a strategy to prioritize company culture and cultivate a meaningful and positive employee experience, small and midsized data companies can get a head start when it comes to competing with their Big Tech counterparts.

eBook: A Practical Guide to Using Third-Party Data in the Cloud

[Sponsored Post] To help you navigate a proliferating data landscape, AWS Data Exchange would like to present you with a copy of the new eBook, “A Practical Guide to Using Third-Party Data in the Cloud.” Learn how innovative teams are shifting their focus from data-driven business intelligence to accelerating insight-driven decision-making and now are turning to third-party datasets as a differentiator.

Infographic: The Fastest Supercomputers Ever Built and Who Built Them

Supercomputers are an important part of computational science, including weather forecasting, climate research, quantum mechanics, molecular modeling, and cryptanalysis, as they are able to process information more quickly than a traditional computer. The United States has historically been a leader in supercomputer development, but other countries’ technology and research have been catching up. The HP research team consulted data from supercomputer ranking project TOP500 to visualize the most powerful supercomputers in the world as well as their country and company of development.

T-Shaped Teams: A New Roadmap for AI and Big Data Adoption

CFA Institute, the global association of investment professionals, released new industry research that identifies a new organizational approach for enabling financial institutions to develop and successfully execute artificial intelligence and big data strategies.

“Above the Trend Line” – Your Industry Rumor Central for 9/1/2021

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Infographic: How to Leverage Big Data Tech in Your Construction Company

The big data market is expected to reach $99.31 billion this year, and companies that take advantage of big data analytics have reported increases in revenue, productivity and efficiency. The visual below from our friends over at BigRentz shows how construction companies can leverage big data and take advantage of new analytics technologies—from 3D modeling to material tracking and on-site safety sensors. 

Data Warehouse Costs Soar, ROI Still Not Realized

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.  According to a new study out from Dremio, the SQL Lakehouse company, and produced by Wakefield Research, only 22% of the data leaders surveyed have fully realized ROI in the past two years, with most data leaders (56%) having no consistent way of measuring it.