CIO Business Intelligence

AUGUST 30, 2024

While hyperscalers would prefer you entrust your data to them again the concerns about runaway costs are compounded by uncertainty about models, tools, and the associated risks of inputting corporate data into their black boxes. As a result, organizations migrated workloads to on-premises estates, hybrid environments, and the edge.

Uncertainty 122

Uncertainty Marketing Cost-Benefit Risk 122

CIO Business Intelligence

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLellan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. But the CIO had several key objectives to meet before launching the transformation.

IT 105

IT Insurance Consulting Risk 105

O'Reilly on Data

MARCH 25, 2025

People have been building data products and machine learning products for the past couple of decades. They also realized that, although LlamaIndex was cool to get this POC out the door, they couldnt easily figure out what prompt it was throwing to the LLM, what embedding model was being used, the chunking strategy, and so on.

Testing 177

Testing Data-driven Software Measurement 177

CIO Business Intelligence

DECEMBER 18, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax For all the deserved enthusiasm about the potential of generative AI, “ ChatGPT is not your AI strategy ” remains sound advice. That is a real job that bosses can do and will enjoy doing, and it will help your strategy effort. Learn more about generative AI.

Strategy 132

Strategy IT Uncertainty Machine Learning 132

Rocket-Powered Data Science

JULY 19, 2023

These three emergent analytics products are: (a) Sentinel Analytics – focused on monitoring (“keeping an eye on”) multiple enterprise systems and business processes, as part of an observability strategy for time-critical business insights discovery and value creation from enterprise data sources.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. A clear definition of these goals makes it possible to develop targeted HR strategies that support the corporate vision.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

Modeling 216

Modeling Finance Uncertainty Data mining 216

O'Reilly on Data

FEBRUARY 11, 2020

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. Key survey results: The C-suite is engaged with data quality.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

CIO Business Intelligence

MARCH 27, 2023

When he’s not immersed in cybersecurity, hybrid cloud strategy, or app modernization, David Reis, CIO at the University of Miami Health System and the Miller School of Medicine, spends his time working with the board of directors and top leadership to reimagine healthcare and take the lead driving digital transformation.

Strategy 109

Strategy Digital Transformation Insurance Technology 109

CIO Business Intelligence

NOVEMBER 12, 2024

By Bryan Kirschner, Vice President, Strategy at DataStax From the Wall Street Journal to the World Economic Forum , it seems like everyone is talking about the urgency of demonstrating ROI from generative AI (genAI). Learn how DataStax enables enterprises and developers to get GenAI apps to production fast.

ROI 72

ROI Metrics Uncertainty Testing 72

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

CIO Business Intelligence

JULY 23, 2024

That’s because there’s heavy pressure on CIOs and other IT leaders to adopt and successfully deploy AI, creating some incentive for exaggeration, says Kjell Carlsson, head of AI strategy at Domino Data Lab, provider of an enterprise AI platform. “AI AI washing is a new phenomenon, but it’s really just a different kind of fraud.

Uncertainty 131

Uncertainty Machine Learning Business Intelligence Marketing 131

CIO Business Intelligence

NOVEMBER 9, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax Today, we’re all living in a world in which “humans with machines will replace humans without machines”—for the second time. The first time around, smartphone apps became ubiquitous and indispensable machines that just about everyone uses to get things done.

Experimentation 134

Experimentation Uncertainty Strategy Machine Learning 134

CIO Business Intelligence

JUNE 7, 2024

based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. To achieve that, the Arlington, Va.-based

Forecasting 128

Forecasting IT Machine Learning Modeling 128

CIO Business Intelligence

JANUARY 11, 2024

2023 was a year made notable by a range of unexpected, unpredictable, and fast-moving challenges that, despite seemingly having little to do with technology, had profound impacts on IT strategies. To guide an organization through uncertainty, IT leaders must help ensure everyone in the company is on the same page, Srivastava says.

IT 133

IT Uncertainty Cost-Benefit Strategy 133

erwin

AUGUST 13, 2020

Here are some of the issues and questions being raised: Growth : How do we define growth strategies (e.g., Technology Disruption : How do we focus on innovation while leveraging existing technology, including artificial intelligence, machine learning, cloud and robotics? M&A, new markets, products and businesses).

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

Domino Data Lab

JANUARY 31, 2022

In a previous blog post we introduced the K-armed bandit problem - a simple example of allocation of a limited set of resources over time and under uncertainty. We saw how a stochastic bandit behaves and demonstrated that pulling arms at random yields rewards close to the expectation of the reward distribution.

Strategy 84

Strategy Uncertainty Machine Learning 84

CIO Business Intelligence

NOVEMBER 15, 2022

Sanchez-Reina also described such investment as a two-for-one strategy, bringing together financial performance with an organisation’s environmental and social values, thereby appeasing customers, employees and investors. Artificial Intelligence, Digital Transformation, Innovation, Machine Learning

Digital Transformation 143

Digital Transformation Machine Learning Data-driven Experimentation 143

CIO Business Intelligence

JULY 11, 2023

Bryan Kirschner, Vice President, Strategy at DataStax Ignoring the potential of generative AI to increase productivity is a surefire way to fall behind as an individual, a team, and an organization. The most powerful framework I’ve found for effective strategic thinking is what Roger Martin calls the “strategy choice cascade.”

Strategy 75

Strategy Uncertainty Data-driven Machine Learning 75

CIO Business Intelligence

JANUARY 17, 2023

In almost every case, there’s an increased need for data insight and technology-enabled agility to reaffirm technology’s position at the center of investment strategy in order to achieve organizational growth. Not necessarily. Given this, the CIO should become the driver of enterprise automation.

Cost-Benefit 138

Cost-Benefit IT Uncertainty Optimization 138

CIO Business Intelligence

MARCH 25, 2022

Two years of pandemic uncertainty and escalating business risk have sharpened the focus of corporate boards on a technology trend once dismissed as just another IT buzzword. My fellow board members look to me to make sure we’re doing the right things in our digital strategy.”. It actually makes me work harder.

Digital Transformation 115

Digital Transformation Machine Learning Uncertainty Strategy 115

CIO Business Intelligence

JANUARY 9, 2023

Economic uncertainty Organizations are concerned about multiple economic forces that are all causing uncertainty, says Srinivas Mukkamala, chief product officer at Ivanti. How do you future-proof your business in the face of so much uncertainty? And doing so is beginning to pay off.

IT 145

IT Uncertainty Cost-Benefit Digital Transformation 145

CIO Business Intelligence

SEPTEMBER 13, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax As a software developer and coding instructor, Ania Kubow is always informative and engaging. Learn how DataStax helps organizations build real-time, AI-powered applications. About Bryan Kirschner : Bryan is Vice President, Strategy at DataStax.

Uncertainty 105

Uncertainty Interactive Machine Learning Strategy 105

CIO Business Intelligence

SEPTEMBER 2, 2022

How extensive is your data-driven strategy today? An example of that enterprise-level digital strategy and alignment process was the creation of three advanced capabilities: AI and analytics, intelligent automation, and digital manufacturing. Khare: I look at uncertainty at two tiers.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

How extensive is your data-driven strategy today? An example of that enterprise-level digital strategy and alignment process was the creation of three advanced capabilities: AI and analytics, intelligent automation, and digital manufacturing. Khare: I look at uncertainty at two tiers.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

FEBRUARY 23, 2024

The completion of such transformative EV and hydrogen fuel cell engineering — amid uncertainty about which technology will prevail as the industry standard — reflects the one constant American Honda’s VP of IT Bob Brizendine has confronted throughout his 36 years with the company: an ever-changing, winding road that never slows down.

IT 122

IT Manufacturing Unstructured Data Strategy 122

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . When it comes to data and analytics, test, learn and recalibrate. IT Leadership, IT Strategy

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

Jen Stirrup

NOVEMBER 15, 2022

However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. The business teams are getting a value framework, which explains how the organization boils down the strategy into measures of success. Data strategy in a VUCA environment.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

CIO Business Intelligence

JUNE 25, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax Bill Gates has seen (or, for that matter, caused) some profound advances in technology, so I don’t take a contrarian position lightly, but I think the way he describes his epiphany about the importance of AI is only half right. Learn more about how DataStax enables real-time AI here.

Finance 115

Finance Uncertainty Strategy Modeling 115

Cloudera

DECEMBER 3, 2021

Systems should be designed with bias, causality and uncertainty in mind. Uncertainty is a measure of our confidence in the predictions made by a system. We need to understand and provide the greatest human oversight on systems with the greatest levels of uncertainty. System Design. Human Judgement & Oversight. Find out more.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

Jet Global

DECEMBER 10, 2020

Having a machine learning algorithm purely based on data is highly useful during times of great uncertainty, and it can really help businesses feel less overwhelmed and more in control than they would be otherwise. Will the pandemic be an impediment or an expedient to the adoption of AI?

Uncertainty 52

Uncertainty Technology Finance Business Intelligence 52

CIO Business Intelligence

DECEMBER 4, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax One of the major findings of our recently released State of AI Innovation report was how bullish managers and technical practitioners were about generative AI enhancing, rather than threatening, their careers. Learn more about DataStax. Artificial Intelligence, Machine Learning

Uncertainty 104

Uncertainty Data-driven Strategy Machine Learning 104

Smart Data Collective

JULY 1, 2023

Image annotation is the act of labeling images for AI and machine learning models. The resulting structured data is then used to train a machine learning algorithm. There are a lot of image annotation techniques that can make the process more efficient with deep learning.

Machine Learning 93

Machine Learning Metrics Uncertainty Deep Learning 93

CIO Business Intelligence

OCTOBER 8, 2024

By Bryan Kirschner, Vice President, Strategy at DataStax Data scientists have long struggled with silos and cycle time. Learn how DataStax enables enterprises and developers to get GenAI apps to production fast. About Bryan Kirschner : Bryan is Vice President, Strategy at DataStax.

Unstructured Data 117

Unstructured Data Data Science Uncertainty Sales 117

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Predictive analytics continues to gain popularity, and research proves that there is a gradual move toward credit scoring strategies developed using data mining and predictive analytics.

Predictive Analytics 83

Predictive Analytics Analytics Data mining Cost-Benefit 83

CIO Business Intelligence

AUGUST 1, 2023

The easiest decision at the intersection of business and technology strategy you will ever need to make about AI is to commit to ensuring your tech stack will never constrain the scale you can achieve. Learn how DataStax provides a scalable foundation for generative AI projects. Artificial Intelligence, Machine Learning

Strategy 52

Strategy Data-driven Interactive Uncertainty 52

Cloudera

DECEMBER 11, 2020

In “Are Your Machine Learning Models Wrong” , Richard Harmon explores what financial institutions should do in the face of the uncertainty caused by COVID-19. Finally, he recommends investment in building out a platform that supports the entire machine learning lifecycle to enable the industrialization of ML. .

Insurance 95

Insurance Digital Transformation Unstructured Data Machine Learning 95