Remove 2018 Remove Big Data Remove IoT Remove Reporting
article thumbnail

Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Temporal data and time-series. IoT and its applications.

article thumbnail

How To Use Data Analytics To Launch A Sustainable Technology Business

Smart Data Collective

You probably wouldn’t think that data analytics would be the core solution. Many people believe that the fields of big data and green business have little overlap. However, big data could actually be a wonderful solution for many sustainability problems. Big Data Helps Meet UN Climate Targets.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

IRM Is Essential for Digital Transformation Success

John Wheeler

Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report. The top rated emerging internal risk is “lagging digitization” and this is the first time it has appeared in our quarterly report.

article thumbnail

5G use cases that are transforming the world

IBM Big Data Hub

As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially. Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer.

IoT 108
article thumbnail

Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements.

Metadata 135
article thumbnail

The future of 5G: What to expect from this transformational technology

IBM Big Data Hub

5G has been hailed as a disruptive technology, comparable to artificial intelligence (AI ), machine learning (ML) and the Internet of Things (IoT) in terms of the kinds of change it will bring about. Like its predecessors, 5G uses radio waves to transmit data. But what does the future hold in store? What is 5G?

article thumbnail

The Top 10 Most Popular VISION Blogs of 2017

Cloudera

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. There’s more data coming, and there are plenty of impossible things to work on. Machine Learning in the Age of Big Data. From its origins in the 1950’s to today, the age of big data.