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

Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

O'Reilly on Data

SEPTEMBER 15, 2021

There was a lot of uncertainty about stability, particularly at smaller companies: Would the company’s business model continue to be effective? Economic uncertainty caused by the pandemic may be responsible for the declines in compensation. Would your job still be there in a year? Salaries by Tool and Platform.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. With well-formed goals, data scientists and machine learning engineers can then apply the scientific method to test different approaches in order to determine the validity of the hypothesis, and assess whether a given approach is feasible and can achieve the goal.

Advertising 359

Advertising Cost-Benefit ROI Machine Learning 359

O'Reilly on Data

MARCH 25, 2025

People have been building data products and machine learning products for the past couple of decades. By contrast: ML-powered software introduces uncertainty due to real-world entropy (data drift, model drift), making testing probabilistic rather than deterministic. LLM-powered software amplifies this uncertainty further.

Testing 168

Testing Data-driven Software Measurement 168

CIO Business Intelligence

NOVEMBER 1, 2024

One of the firm’s recent reports, “Political Risks of 2024,” for instance, highlights AI’s capacity for misinformation and disinformation in electoral politics, something every client must weather to navigate their business through uncertainty, especially given the possibility of “electoral violence.” “The

IT 122

IT Insurance Consulting Risk 122

O'Reilly on Data

OCTOBER 13, 2020

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. We can’t wait to see what you build!

Management 307

Management Machine Learning Metrics Modeling 307

CIO Business Intelligence

NOVEMBER 1, 2024

One of the firm’s recent reports, “Political Risks of 2024,” for instance, highlights AI’s capacity for misinformation and disinformation in electoral politics, something every client must weather to navigate their business through uncertainty, especially given the possibility of “electoral violence.” “The

IT 105

IT Insurance Consulting Risk 105

Smart Data Collective

JULY 31, 2022

Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. We mentioned that investors can use machine learning to identify potentially profitable IPOs. Analytics Vidhya, Neptune.AI

Predictive Analytics 145

Predictive Analytics Analytics Uncertainty Forecasting 145

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

Rocket-Powered Data Science

JULY 19, 2023

b) Precursor Analytics – the use of AI and machine learning to identify, evaluate, and generate critical early-warning alerts in enterprise systems and business processes, using high-variety data sources to minimize false alarms (i.e., In either case, keeping an eye on the situation is critical for the success of the operation.

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. Most use master data to make daily processes more efficient and to optimize the use of existing resources.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

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 362

Data Quality Metadata Data Governance Publishing 362

CIO Business Intelligence

JULY 23, 2024

With the confusion about the definition of AI, whether it includes large language models (LLMs), neural networks, machine learning, or simply a data science application, gives companies “a lot of latitude” when claiming to use AI, he says. You run into the fact that these models just don’t behave like your traditional models.

Uncertainty 131

Uncertainty Machine Learning Business Intelligence Marketing 131

Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. He shares his expertise on how an EPM solution supports managing economic uncertainty, particularly in times of crisis.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

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

IT 128

IT Forecasting Machine Learning Modeling 128

Rocket-Powered Data Science

MAY 21, 2024

Since one of the only certainties about the future is its uncertainty, it is a great benefit that Pure Storage Evergreen//One provides storage-as-a-service (STaaS) guarantees and enables future-proof growth with non-disruptive upgrades.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

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. All models, therefore, need to quantify the uncertainty inherent in their predictions. These factors lead to profound epistemic uncertainty about model parameters.

Modeling 184

Modeling Finance Uncertainty Data mining 184

DataRobot

AUGUST 5, 2021

AI and Uncertainty. Some people react to the uncertainty with fear and suspicion. Recently published research addressed the question of “ When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making.”. People are unsure about AI because it’s new. AI you can trust.

Uncertainty 98

Uncertainty Sales Risk Statistics 98

Smart Data Collective

APRIL 18, 2019

Everyone wants to leverage machine learning, behavior analytics, and AI so IT teams can “up the ante” against attackers. The reality is that “AI solutions” today are based more in machine learning and behavior analytics , which does NOT equate to higher levels of human intelligence and complex decision making.

Behavioral Analytics 97

Behavioral Analytics Advertising Uncertainty Machine Learning 97

CIO Business Intelligence

JANUARY 11, 2024

To get back in front, IT leaders will have to transform lessons learned from 2023 into actionable, adaptable processes, as veteran technology pros have been remarkably consistent in identifying global and economic uncertainties as key challenges for IT leaders to anticipate in 2024 as well.

IT 133

IT Uncertainty Cost-Benefit Strategy 133

Smart Data Collective

MAY 3, 2021

2 Saves time and cost with machine learning. Machine learning has made it a lot easier to save money. New cost-structure models use complex machine learning algorithms to improve efficiency. #3 Big data has made it easier to identify new opportunities in the gig economy.

Big Data 130

Big Data Data mining Cost-Benefit Insurance 130

CIO Business Intelligence

NOVEMBER 15, 2022

Resilient cybersecurity Despite the clamour for new digital investments, Gartner’s analysts did recognise that this would represent a new cybersecurity risk, with some attributing the increased spending in security over the next year down to ongoing uncertainty regarding Russia’s invasion of Ukraine.

Digital Transformation 143

Digital Transformation Machine Learning Experimentation Data-driven 143

CIO Business Intelligence

MARCH 10, 2023

As organizations emerge post-pandemic, many of the risks and uncertainties manifested during that period will persist, including the hybrid workforce, supply chain risk, and other cybersecurity challenges. Artificial Intelligence, IT Leadership, Machine Learning

Digital Transformation 143

Digital Transformation Cost-Benefit ROI Risk 143

CIO Business Intelligence

NOVEMBER 9, 2023

He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing. Artificial Intelligence, Machine Learning

Experimentation 134

Experimentation Uncertainty Strategy Machine Learning 134

CIO Business Intelligence

NOVEMBER 12, 2024

He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing. For more than 20 years he has helped large organizations build and execute strategy when they are seeking new ways forward and a future materially different from their past.

ROI 72

ROI Uncertainty Metrics Testing 72

CIO Business Intelligence

SEPTEMBER 2, 2022

How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers. One is macro-level uncertainties, and the second is micro-level. There are so many uncertainties like this in running a business where analytics and AI can and is helping us.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

How do you deal with uncertainties and where do you see technologies like AI or ML helping out in this respect? Khare: I look at uncertainty at two tiers. One is macro-level uncertainties, and the second is micro-level. There are so many uncertainties like this in running a business where analytics and AI can and is helping us.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

erwin

AUGUST 13, 2020

Technology Disruption : How do we focus on innovation while leveraging existing technology, including artificial intelligence, machine learning, cloud and robotics? Compliance and Legislation : How do we manage uncertainty around legislative change (e.g.,

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

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

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? How do we grow our business responsibly?”

IT 145

IT Uncertainty Cost-Benefit Digital Transformation 145

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. Some hires may need to be postponed.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

Timo Elliott

MARCH 6, 2023

He explains how businesses can leverage AI and machine learning to turn anything into a sensor, detect patterns in new ways, and augment human intelligence. He also mentions ASR Group using machine learning to optimize routes for sugar delivery to their 600 customers, reducing logistics costs.

Machine Learning 111

Machine Learning Cost-Benefit Uncertainty Data Warehouse 111

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. According to Gartner, the goal is to design, model, align, execute, monitor, and tune decision models and processes.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Smart Data Collective

FEBRUARY 4, 2021

With increasing uncertainty and evolving consumer demand, running a business seems like an enormous challenge. Find Tax Deductibles with Machine Learning. Besides, if you are using a digital tracking tool, it leverages machine learning, automatically finding expenses you can deduct.

Data Analytics 141

Data Analytics Analytics Cost-Benefit Big Data 141

Andrew White

FEBRUARY 23, 2021

The D&A trends for 2021 covered in this research can help organizations respond to change, uncertainty and the opportunities they bring over the next three years. To deal with unprecedented levels of business complexity and uncertainty, organizations must improve their ability to accelerate accurate and highly contextualized decisions.

Analytics 90

Analytics Uncertainty Machine Learning Modeling 90

CIO Business Intelligence

APRIL 27, 2023

At this time of dynamic business and market changes, uncertainty, and quickly evolving consumption models for IT infrastructure, every IT executive understands the benefits and necessity of network agility. Machine learning has also greatly advanced over the past several years. There were also limitations in technology.

Management 98

Management Internet of Things Cost-Benefit Uncertainty 98