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

The Bots Have Arrived (What’s New?)

In this special guest feature, Karl Chan, President and Chief Technology Officer at Laserfiche, believes that as the sheer amount of data continues to rise, humans alone will not be able to meet the challenge of managing and processing it. Bots, already widely deployed for everything from customer service requests to medical operations, are the solution for today’s organizations that need to collect data from multiple, disparate sources, manage and process it, and put it to use.

insideBIGDATA Latest News – 1/20/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2019

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.

“Above the Trend Line” – Your Industry Rumor Central for 1/15/2020

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.

The insideBIGDATA IMPACT 50 List for Q1 2020

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!

The Secret to Accurate Machine Learning Models is Data Transformation

In this contributed article, Damian Chan, Solutions Engineer with Matillion, discusses how machine learning can help your business process and understand data insights faster – empowering data-driven decisions to be made across your organization. For machine learning to be successful, however, your models will need to consume clean data sets. As the quality of your data increases, you can expect the quality of our insights to increase as well. Transforming data for analysis can be challenging based on the growing volume, variety and velocity of big data. This challenge will need to be overcome to unlock the potential of your data and to mobilize your business to move faster and outpace competitors.

Preventing Big Data Project Failure

In this special guest feature, Anexinet Director of Advanced Analytics, Brian Atkiss, discusses how Big Data projects can fail for many reasons, including the project’s inability to integrate with existing business processes, data security and/or governance challenges. Often a Big Data project will fail because an organization is looking to solve too many problems by using a broad Big-Data solution rather than identifying a few core-business cases that will ultimately provide the most value for the business.

“Above the Trend Line” – Your Industry Rumor Central for 1/7/2020

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.

TOP 10 insideBIGDATA Articles for December 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

30 Influential AI Presentations from 2019

Our friends over at RE•WORK put on some amazing AI summits around the country and the world. The company has graciously made some of their top presentations from 2019 available for the data science community to freely view.