article thumbnail

Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). Industry 4.0 NLG is a software process that transforms structured data into human-language content.

article thumbnail

How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

With the right data available and Microsoft’s Power platform, the aim is to proactively issue reports and decision support on an ongoing basis, and provide the power to digitize all parts of the company. Not for experiments For a company like Svevia, there’s no room for experimentation, underlines Wester. “We

Risk 98
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

Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

And more recently, we have also seen innovation with IOT (Internet Of Things). Whether eventual legislation will exactly mirror GDPR remains to be seen, I think there will be some experimentation at the State level as well as for specific verticals whose successes would point the way. And then there is the Cloud.

Insurance 150
article thumbnail

Machine Learning Integration Options

Paul DeBeasi

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. New Gartner Research.

article thumbnail

Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. As the O’Reilly surveys and other recent reports have demonstrated, the state of “Product Management for AI” is still barely even evolved to a primordial soup stage. Upcoming events.

article thumbnail

Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. ML and AI topics claim top spots. Stream” itself was No.

IoT 20
article thumbnail

The History of Malware: A Primer on the Evolution of Cyber Threats

IBM Big Data Hub

1971: Creeper worm Just five years after John von Neumann’s theoretical work was published, a programmer by the name of Bob Thomas created an experimental program called Creeper, designed to move between different computers on the ARPANET , a precursor to the modern Internet.

Software 108