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The latest big data news and articles

Unleash AI for Impact

In this special guest feature, Brian D’alessandro, Director of Data Science at SparkBeyond, discusses how AI is a learning curve, and exploring opportunities within the technology further extends its potential to enable transformation and generate impact. It can shape workflows to drive efficiency and growth opportunities, while automating other workflows and create new business models. While AI empowers us with the ability to predict the future — we have the opportunity to change it.

Take Your Business Use Cases to the Next Level with AI & ML

Industry leader, TIBCO released insights from a survey “CXO Innovation Survey” that polled 600+ c-suite executives about the key AI/ML use cases that are being used in businesses today. According to the survey, data security is considered the top AI/ML use case among c-suite executives. Included are the top rated AI and ML use cases.

How the EU is Mastering the Challenge of Trustworthy Artificial Intelligence

From treating chronic diseases and reducing fatality rates in traffic accidents, to fighting climate change and anticipating cybersecurity threats, Artificial Intelligence (AI) is no longer considered a futuristic construct – it is already a reality and is helping humanity solve pressing global challenges. It significantly improves peoples’ lives, helps with day-to-day tasks and benefits society […]

Data Literacy: Making Society Fluent in Data

In the age of big data, data science, and AI, there is a broad ranged need for global data literacy. The time is near when national economies will be data-driven. Fortunately, a recent unveiling describes a timely resource to address this need. Qlik and The Data Literacy Project announced that they’ve partnered to launch a certification that lets individuals document and demonstrate their data literacy skills. Developed by leading academics and data literacy specialists at Qlik, this free, 70-question examination tests the ability to read, work with, analyze and argue with data.

The Impact of AI on the Data Analyst

In this special guest feature, Glen Rabie, CEO of Yellowfin, believes that while many analysts may fear they will be replaced by automation and AI, the role of the data analyst will increase in significance to the business and breadth of skills required.

Interview: Tom Wilde, CEO of Indico

I recently caught up with Tom Wilde, CEO of Indico, to survey his perspectives for how AI is revolutionizing the modern enterprise including AI use cases, successful and failed AI initiatives, unstructured vs. structured content, democratizing AI, and citizen data scientists.

“Above the Trend Line” – Your Industry Rumor Central for 5/13/2019

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.

Why Big Data Is a Big Opportunity for Employment

In this contributed article, technology writer and blogger Kayla Matthews discusses how the importance of big data expertise couldn’t be more clear — for companies or for job-seekers. Thankfully, a more complete picture is emerging for how we can prepare many more people for a role in this exciting and quickly growing field.

Creativity and Human-Centered Design

In this contributed article, Magnolia Potter observes that since AI technology puts user data at a company’s fingertips, it’s easier than ever to harness that data and use it in any site design scheme. However, it’s imperative that companies don’t ignore the importance of user experience when it comes to designing a site. The integration of human-centered design and data science virtually ensures customer retention and steady profits in today’s competitive landscape.

Anatomy of a Fraudster – How Bad Actors Are Outsmarting Conventional Prevention

In this contributed article, Ting-Fang Yen, Director of Research at DataVisor, believes the future of fraud detection comes from the evolution of machine learning with a focus on unsupervised machine learning. Don’t sit by thinking that the old methods of fraud detection are sufficient for your organization. Fraud is becoming ever more sophisticated. If you are just keeping up, you are already behind.