Sign up for our newsletter and get the latest big data news and analysis.

How AI and ML technologies are Streamlining Language Creation and Impacting the Global Economy

In this contributed article, Joe Hagan, Chief Product Officer at LumenVox, discusses how artificial intelligence (AI) and machine learning (ML) have become so useful and prevalent that we use them in our daily lives without really thinking too much about it. One key area where these intelligent technologies have progressed in leaps and bounds—almost to the point where they match human abilities—is the field of automatic speech recognition technology.

Databricks Launches Data Lakehouse for Retail and Consumer Goods Customers

Databricks, the Data and AI company and pioneer of the data lakehouse architecture, announced the Databricks Lakehouse for Retail, the company’s first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing.

“Above the Trend Line” – Your Industry Rumor Central for 1/17/2022

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.

Explanatory vs. Exploratory — Which Data Visualization Is Right for Your Organization?

In this special guest feature, Chad Reid, VP of marketing and communications at Jotform, argues that data visualization remains one of the best tools you can use to highlight relevant information for stakeholders, but to use it to its full potential, it is key to understand the difference between explanatory versus exploratory data analysis and know when to use each. He provides three strategies for better data visualization.

The Data Silos Holding You Back are All in Your Head

In this contributed article, Pete Goddard, CEO and co-founder of Deephaven Data Labs, paints a new picture of data: one of a synchronized group effort rather than a relay race of individual, siloed teams. He explains how the “baton pass” method of working with data – inherently full of risks and slow-downs – has evolved but not quite met the needs of modern data teams. Pete then outlines how de-compartmentalizing data use cases can lead to a new understanding that data is changing and exists on a continuum of time. When all data problems are viewed through the lens of how data needs to meet software, and diverse teams are brought together to work in tandem on these interesting problems, we can create one frictionless data world free from the current limits of intermediation.

Book Review: Modern Data Science with R, 2nd Edition

There’s good reason why the word “modern” is in the title of this new title from CRC Press: “Modern Data Science with R, 2nd,” by 3 professors Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton – the goal of the text is to provide a solid guide for state-of-the-art data science with the […]

2022 Can Be Insurance’s Big Data Moment

In this special guest feature, Robert Clark, CEO of Cloverleaf Analytics, discusses trends and other factors driving what he believes to be a major year for big data analytics and BI in insurance in 2022. The article will outline a few major reasons why insurance can become a standard-bearer regarding innovative uses of big data and analytics.

Heard on the Street – 1/12/2022

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Cogniteam’s Nimbus Supports Cloud-Enabled Robot Deployment Powered by NVIDIA Jetson Edge AI Platform

Cogniteam today announced it is supporting the NVIDIA Jetson edge AI platform into its cloud-based robotics development and deployment platform, allowing cloud-enabled deployments to use NVIDIA technology for the first time. More customers are moving over to NVIDIA’s GPU-accelerated technologies that can be developed and deployed through the cloud.

Video Highlights: MLDataR – a Data Package for Supervised Machine Learning in R

The video presentation below is courtesy of Gary Hutson, regarding a new R package he launched recently on CRAN to provide example ML data sets for supervised machine learning problems. The data sets have examples in healthcare, but he plans to widen to include other types of data.