O'Reilly on Data

MARCH 18, 2020

The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses. This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey. It seems as if the experimental AI projects of 2019 have borne fruit. But what kind?

Enterprise 307

Enterprise Deep Learning Data Governance Risk 307

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Jet Global

APRIL 27, 2023

Tax teams of multinational enterprises (MNEs) in the manufacturing industry face increasing challenges to manage business and market risks effectively. For your tax team to be agile, you’ll need to optimize tax technology and processes so you can both spot data insights and mitigate risk.

Manufacturing 52

Manufacturing Marketing Experimentation Reporting 52

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

O'Reilly on Data

SEPTEMBER 11, 2019

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. 221) to 2019 (No. 40; it peaked at Strata NY 2018 at No. 30 in 2018.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2019 the market for graph databases and knowledge graphs started heating up – appearing on Gartner’s hype curves in 2018. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2019 the market for graph databases and knowledge graphs started heating up – appearing on Gartner’s hype curves in 2018. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Domino Data Lab

MAY 8, 2019

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JULY 2, 2019

See also: Caroline Lemieux’s slides for that NeurIPS talk, and Rohan Bavishi’s video from the RISE Summer Retreat 2019. Program Synthesis 101 ” – Alexander Vidiborskiy (2019-01-20). Automatic Program Synthesis of Long Programs with a Learned Garbage Collector ” – Amit Zohar, Lior Wolf (2019-01-22). Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

O'Reilly on Data

DECEMBER 9, 2019

As the number of experimental trials N approaches infinity, the probability of E equals M/N. Modern portfolio theory assumes that rational, risk-averse investors demand a risk premium, a return in excess of a risk-free asset such as a treasury bill, for investing in risky assets such as equities. on average.

Statistics 27

Statistics Uncertainty Risk Marketing 27

O'Reilly on Data

JANUARY 7, 2020

In fact, in our 2019 surveys, more than half of the respondents said AI (deep learning, specifically) will be part of their future projects and products—and a majority of companies are starting to adopt machine learning. New (and simpler) tools, infrastructures, and hardware are being developed.

Deep Learning 177

Deep Learning Machine Learning Experimentation Modeling 177