O'Reilly on Data

MAY 21, 2019

This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 244

Machine Learning Technology Deep Learning Data Science 244

Smart Data Collective

FEBRUARY 16, 2021

These “strategies” are less than useful to companies looking to reduce the risk of falling victim to such attacks, though. That said, it’s important to recognize that people from minorities are not a security risk in themselves. Big data has helped us identify a possible security risk for various organizations. Fully 83.1%

Big Data 121

Big Data Data-driven Risk Reporting 121

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smart Data Collective

DECEMBER 18, 2020

If you need an enterprise edition, it may come at a dollar. According to Infosec statistics , cyber-attacks resulting in over $1 million in reported losses has risen exponentially over the past five years – with over 100 cases reported in both of 2018 and 2019. Although you have to request a demo to get started.

Analytics 83

Analytics Broadcasting Measurement Data Processing 83

Domino Data Lab

AUGUST 8, 2019

There’s been a flurry of tech startups, open source frameworks, enterprise products, etc., 2018 – Global reckoning about data governance, aka “Oops!…We The probabilistic nature changes the risks and process required. aiming at tools for solving problems best characterized as skills gaps and company culture disconnects.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Surveying ABC adoption in enterprise. By mistake, the survey had been sent out to 15,000 people in enterprise organizations worldwide. Introduction. Welcome back to our monthly series about data science!

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? The program supports hands-on data science class sizes of more than 1,200 students based on JupyterHub , and this sets a bar for enterprise infrastructure. Recently the World Economic Forum published “ The Future of Jobs Report 2018.”

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. But for most enterprise, using machine learning…not really. You see these drivers involving risk and cost, but also opportunity.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

OCTOBER 16, 2023

While the US doesn’t have a single data privacy law at the federal level, the California Consumer Privacy Act of 2018 is one of the most ambitious data privacy legislation ever enacted in the US, much like European Union’s GDPR. Data sovereignty in the EU is an evolving field.

Cost-Benefit 65

Cost-Benefit Data Governance Risk Data-driven 65