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The latest big data news and articles

Researcher Develops Algorithm to Make Artificial Intelligence Fairer

A researcher from Queen’s University Belfast has developed an innovative new algorithm that will help make artificial intelligence (AI) fairer and less biased when processing data. Companies often use AI technologies to sift through huge amounts of data in situations such as an oversubscribed job vacancy or in policing when there is a large volume of CCTV data linked to a crime.

Vaccines Are Being Created By AI: Here’s How

In this contributed article, tech blogger Caleb Danziger discusses how medical researchers have begun using AI in a bid to reduce long drug development times and prevent costly failures. Now, these efforts are beginning to produce real results. A team of medical researchers from Australia’s Flinders University have designed an AI that has, for the first time, created a drug entirely by itself.

Healthcare APIs & Artificial Intelligence: What’s the Big Data Connection?

In this contributed article, freelance human Avery Phillips discusses how healthcare APIs, along with AI, is on the brink of revolutionizing healthcare. However, in order for breakthroughs such as predictive analysis to take place, the connection must be made to big data.

insideBIGDATA Latest News – 2/6/2020

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.

TOP 10 insideBIGDATA Articles for January 2020

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.

“Above the Trend Line” – Your Industry Rumor Central for 2/4/2020

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.

What Happens When the Spin Doctors Adopt Machine Learning? The Future of PR

In this special guest feature, Michael Burke, Director of Science & Technology at MSR Communications, takes a look at the state of the PR industry and its growing relationship with data science and machine learning technology. Machine learning may not replace the art of PR anytime soon, but there are countless areas where machine learning can refine and support the intuition and creativity that is critical to PR.

Do You Trust and Understand Your Predictive Models?

To help practitioners make the most of recent and disruptive breakthroughs in debugging, explainability, fairness, and interpretability techniques for machine learning, our friends over at H2O.ai have written and exciting eBook “An Introduction to Machine Learning Intrepretability Second Edition.” This report defines key terms, introduces the human and commercial motivations for the techniques, and discusses predictive modeling and machine learning from an applied perspective, focusing on the common challenges of business adoption, internal model documentation, governance, validation requirements, and external regulatory mandates.

Rumblings in the AI Conversational Space

The AI conversational space is making a lot of noise moving into 2020, with efforts to release new chatbot products to provide a more integrated and seamless customer experience. Within customer service, chatbots have historically failed at taking in and applying the direct insight and demands of their customers reaching out. There is a need for solutions create superior chat conversations based on anticipated needs in real-time, while also continuously analyzing interactions to educate improvements on customer intent recognition.

Not Just a Statistic: Women in Data Science

In this contributed article, Magnolia Potter discusses how data science and other tech-based positions are far from gender equal. In fact, the field is dominated by men. The data science career path impacts nearly all other industries – not just IT fields — meaning that women within data sciences can have a profound impact across nearly every aspect of our economy and culture.