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The insideBIGDATA IMPACT 50 List for Q4 2021

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!

Almost Half of Organizations Still Struggle with the Quality of their Data

Nearly half (48%) of organizations are still struggling to use and access quality data as underlying technology is failing to deliver on a number of critical functions. According to new research conducted by ESG in partnership with InterSystems, while organizations are looking to rapidly progress how they deliver data across the value chain, many are still faced with security (47%), complexity (38%), and performance (36%) challenges.

Proscia Announces Artificial Intelligence Breakthrough in Melanoma Detection

Proscia®, a leading provider of digital and computational pathology solutions, has released study results on new technology that leverages artificial intelligence (AI) to automatically detect melanoma, the deadliest form of skin cancer, with a high degree of accuracy. The findings illustrate the promise of AI to deliver faster diagnoses, improve patient outcomes, and optimize laboratory economics in the routine practice of pathology. 

AI’s Build Vs. Buy Dilemma: One Size Does Not Fit All

In this contributed article, Nurit Cohen Inger, VP of Products, BeyondMinds, discusses the frustratingly slow pace of implementation, in which projects take years to yield results, and very often fail, is hindering AI. A faster, more efficient approach is needed before we can fully enter the AI era. But the question remains, how can companies speed up their AI transformation?

“Above the Trend Line” – Your Industry Rumor Central for 10/8/2021

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.

Low Code Data Science is Not the Same as Automated Machine Learning

[SPONSORED POST] In this special guest feature, Rosaria Silipo, Ph.D., Principal Data Scientist at KNIME, discusses the difference between automated Machine Learning and low code tools for data science. Low code tools are becoming more and more popular. They allow to perform certain tasks without the need of coding. They are based on visual programming, that is on a drag & drop interface to build a pipeline of blocks, each block implementing a dedicated task.

Exasol Report: 46% of CDOs Say that an Organization’s Expectations for the CDO Role are Too High and Misinformed

Our friends over at Exasol released the results of its landmark global study the defines the changes needed for today’s aspiring CDOs – and the organizations that recruit them- to prosper. The survey uncovered high demand for strong data leadership, as well as some confusion and uncertainty about the CDO role.

insideBIGDATA Latest News – 10/4/2021

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.

TOP 10 insideBIGDATA Articles for September 2021

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.

Working Smarter: Leveraging Machine Learning to Optimize CO2 Adsorption

In a recent study published in Environmental Science and Technology, a collaborative research team from Korea University and the National University of Singapore employed a machine learning-based approach that may guide the development of future porous carbon synthesis strategies. The scientists noted that there are three core factors influencing the CO2 adsorption properties in BWDPCs: the elemental composition of the porous solid, its textural properties, and the adsorption parameters at which it operates, such as temperature and pressure. However, how these core factors should be prioritized when developing BWDPCs has remained unclear, until now.