CIO Business Intelligence

SEPTEMBER 10, 2024

In 2015, we attempted to introduce the concept of big data and its potential applications for the oil and gas industry. We envisioned harnessing this data through predictive models to gain valuable insights into various aspects of the industry. Risk management is essential, but it shouldn’t stifle innovation.

IT 122

IT Risk Risk Management Predictive Modeling 122

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. This generates reliable business insights and sustains AI-driven value across the enterprise.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

CIO Business Intelligence

OCTOBER 15, 2024

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Data Science 137

CIO Business Intelligence

DECEMBER 29, 2023

The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. Here, we detail those and others that comprise eight of the top priorities for CIOs in 2024.

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

CIO Business Intelligence

JULY 31, 2023

To allow or not According to various news reports, some big-name companies initially blocked generative AI tools such as ChatGPT for various reasons, including concerns about protecting proprietary data. 1 question now is to allow or not allow,” says Mir Kashifuddin, data risk and privacy leader with the professional services firm PwC US.

Strategy 98

Strategy Risk Enterprise Risk Management 98

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150

Insurance Risk IoT Data-driven 150

CIO Business Intelligence

OCTOBER 14, 2024

Taylor adds that functional CIOs tend to concentrate on business-as-usual facets of IT such as system and services reliability; cost reduction and improving efficiency; risk management/ensuring the security and reliability of IT systems; and ongoing support of existing technology and tracking daily metrics.

Digital Transformation 131

Digital Transformation Experimentation Cost-Benefit Risk 131