Remove Banking Remove Big Data Remove Healthcare Remove Marketing
article thumbnail

How a Big Data Strategy Can Fight Insurance Fraud

mjvinnovation

At the same time, insurers have also understood that they need a Big Data strategy for various purposes. Continue reading and understand how Big Data can help insurers avoid headaches and financial damage! What is Big Data. ” Real Time Big Data. ” Real Time Big Data.

article thumbnail

Daniel Burrus’ Top 20 Technology-Driven Hard Trends Shaping 2018 and Beyond

Daniel Burrus

3 Big Data and the Use of High-Speed Data Analytics. Big data” is a term that describes the technologies and techniques used to capture and utilize exponentially increasing streams of data. Separating good data from bad data will also become a rapidly growing service. #4

Trends 0
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

50 what-if questions to reimagine the future

Board of Innovation

What if you owned your own bank? Smart assistants like Alexa (Amazon), Google Assistant (Google) or Siri (Apple) are the first mass-market examples of how voice interfaces could look like in the future. This tracker is interesting because it combines big data management with a photographic memory.

article thumbnail

50 what-if questions to reimagine the future

Board of Innovation

What if you owned your own bank? Smart assistants like Alexa (Amazon), Google Assistant (Google) or Siri (Apple) are the first mass-market examples of how voice interfaces could look like in the future. This tracker is interesting because it combines big data management with a photographic memory.

article thumbnail

Applications of Artificial Intelligence (AI) in business

hackerearth

Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Healthcare. Source: McKinsey. Entertainment.