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

Too Much Data? Issues Facing Brand Managers & Agencies

In this contributed article, Mathias Lanni, Executive VP, Marketing for Velocidi, highlights how to properly navigate your data and find the important metrics and KPIs. Proper data handling and analysis will often depend greatly on each individual company, yet there are still clear guidelines a brand manager can follow to make their lives easier – while producing better outcomes for their company and/or client.

Big Data: Big Retail Transformation

In this special guest feature, Kerry Liu, Rubikloud CEO, discusses how the retail sector has reached an “AI or Die” moment. Retailers that don’t adapt AI will soon die out. But those that embrace the technology to make automated decisions will enjoy an immediate uptick in their business, and should be able to transform themselves to survive.

How AI Is Helping Speed Drug Development

In this contributed article, Gunjan Bhardwaj, Founder and CEO of the Innoplexus, discusses how AI significantly can speed up drug development time, from synthesis to approval. The convergence of healthcare and technology is creating a lot of buzz, especially as the healthcare policy debates are in a gridlock amongst U.S. lawmakers. Fortunately, technology companies and healthcare experts are working together to innovate at breakneck speeds, regardless of policy challenges.

Zebra Medical Vision to Make AI in Healthcare Accessible & Affordable for All

Zebra Medical Vision, the leading deep learning imaging analytics company, is announcing AI1: a new suite that offers all its current and future algorithms to healthcare providers globally for $1 USD per scan. This is another step in the company’s quest to provide high quality, affordable care to the world’s population.

Medial EarlySign Machine Learning Algorithm Predicts Risk for Prediabetics Becoming Diabetic Within 1 year

Medial EarlySign, a developer of machine learning tools for data-driven medicine, announced the results of its clinical data study on identifying and stratifying prediabetic patients at high risk for progressing to diabetes within one year.

Applying AI Technology to Reduce AML Risk for Global Financial Institutions

QuantaVerse published a new paper that examines how financial institutions can apply AI and machine learning technologies into their anti-money laundering (AML) ecosystems. For financial institutions, the time is now to deploy AI into their AML ecosystems. AI and machine learning hold the key to reducing risk related to financial crimes, addressing regulation, driving out operational cost through improved efficiency and, most importantly, effectively preventing criminals and terrorists from using the banking industry for their evil agendas.

How AI Is Taking Airline Customer Service to New Heights

In this special guest feature, Dermot O’Connor, VPE & Co-Founder at Boxever, discusses how AI is changing the world of customer service using airlines as an example and how leveraging this evolving technology allows marketers to do their jobs more effectively, automating the data processes that have become too difficult for humans to keep up with and providing them with the opportunity to use the insight gathered from customer data to build personalized offers that cater to each customer’s wants and needs.

AMA Starts a Health Data Evolution for a New Era of Patient Care

A new collaborative initiative founded by the American Medical Association (AMA) announced it is working to unleash a new era of better, more effective patient care by introducing a data evolution for improving, organizing and sharing health care information.

Why Hospitals Need Big Data to Improve Patient Experience

In this special guest feature, Senem Guney, PhD, CPXP, Founder and Chief Experience Officer at NarrativeDx, discusses why hospitals need big data to improve patient experience. Hospital administrators seeking to provide excellent patient experiences need to understand responding to patients as a big data problem and arm themselves with the necessary technology solutions.

AI Poised to Revolutionize Insurance Industry

According to a recent report from Accenture, three-quarters of surveyed insurance executives believe that artificial intelligence will transform the insurance industry within three years. Michael Macauley, CEO of Quadrant Information Services, expects urgency and planning to follow quickly as the potential benefits of AI become more apparent.