CIO Business Intelligence

MARCH 6, 2023

Otherwise, they say, IT simply moves the location of its servers from its own data centers to someone else’s — and risks missing out on the innovation, transformation, and speed to market that cloud adoption enables. Moreover, the differences between each stovepipe also meant more work for security teams trying to manage and mitigate risks.

IT 140

IT Strategy Cost-Benefit Consulting 140

CIO Business Intelligence

MAY 30, 2024

The evolution of the chatbot For Alpitour World, the first experiments with traditional AI date back to 2018, conducted in an internal IT laboratory and in a protected research context. I’ve given colleagues the freedom to do research and experimentation together with our automation partner Mauden,” says Ciuccarelli. “We

Cost-Benefit 119

Cost-Benefit Sales Modeling Experimentation 119

Domino Data Lab

JULY 2, 2019

AutoPandas was created at UC Berkeley RISElab and the general idea is described in the NeurIPS 2018 paper “ Neural Inference of API Functions from Input–Output Examples ” by Rohan Bavishi, Caroline Lemieux, Neel Kant, Roy Fox, Koushik Sen, and Ion Stoica. Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01).

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

CIO Business Intelligence

AUGUST 1, 2023

During keynotes and discussions with CIOs, I remind everyone how strategic priorities evolve significantly every two years or less, from growth in 2018, to pandemic and remote work in 2020, to hybrid work and financial constraints in 2022. That’s my key advice to CIOs and IT leaders.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Enterprises with teams of data scientists select these solutions to enable accelerated experimentation for individuals while simultaneously driving collaboration and governance for the organization. Reflections.

Data Science 65

Data Science Marketing Data-driven Statistics 65

CIO Business Intelligence

FEBRUARY 8, 2024

He came to Edward Jones in 2016 after a 30-year career in technology on Wall Street and was named chief information officer in 2018. Leveraging the right technical solutions for unique business problems will require experimentation and will result in advances in the technology supported across teams.

Strategy 98

Strategy Risk Experimentation Technology 98

Cloudera

AUGUST 2, 2018

Leading insurers are underwriting policies with lower risks. Another unique value proposition of Cloudera Data Warehouse is that it actively encourages playing with data – enabling experimentation and collaboration at unprecedented scale with a wide variety of data – something traditional data warehouses are not well suited for.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

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

O'Reilly on Data

APRIL 19, 2021

We’ll look at this later, but being able to reproduce experimental results is critical to any science, and it’s a well-known problem in AI. In contrast, in our 2018 report, Asia was behind in mature practices, though it had a markedly higher number of respondents in the “early adopter” or “exploring” stages. Bottlenecks to AI adoption.

Enterprise 364

Enterprise Risk Modeling Manufacturing 364

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016. 221) to 2019 (No.

IoT 24

IoT Big Data Data Warehouse Uncertainty 24

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 Machine Learning Data-driven 66

Domino Data Lab

MAY 8, 2019

2018-06-21). 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.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

JUNE 4, 2018

It is 2018—why are there still light gray below-the-fold add to cart buttons? Not wanting to risk it, I click on the Find in Store link you see at the bottom of the page. Although it may seem impossible to imagine with ecommerce already totaling up to 5% of overall commerce, there’s astronomical growth still to come. youarekillingme.

Strategy 125

Strategy Cost-Benefit Testing Sales 125

O'Reilly on Data

MAY 11, 2020

Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. That loop isn’t new, of course; it was well-known to TV network executives. Does “The Entertainment” show people what they want to see?

Modeling 294

Modeling Advertising Recreation/Entertainment Metrics 294