CIO Business Intelligence

AUGUST 24, 2023

It’s no surprise, then, that according to a June KPMG survey, uncertainty about the regulatory environment was the top barrier to implementing gen AI. So here are some of the strategies organizations are using to deploy gen AI in the face of regulatory uncertainty. Companies in general are still having problems with data governance.”

Uncertainty 98

Uncertainty Risk Testing Enterprise 98

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

Jedox

APRIL 21, 2020

Swift changes are forcing management to rethink operating models. In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. To understand the marginal impact of changes you need an analytical framework that measures shifts from baseline scenarios.

Uncertainty 52

Uncertainty Modeling Management Finance 52

The Unofficial Google Data Science Blog

APRIL 19, 2021

by LEE RICHARDSON & TAYLOR POSPISIL Calibrated models make probabilistic predictions that match real world probabilities. While calibration seems like a straightforward and perhaps trivial property, miscalibrated models are actually quite common. Why calibration matters What are the consequences of miscalibrated models?

Modeling 122

Modeling IT Metrics Testing 122

CIO Business Intelligence

MARCH 14, 2022

In How to Measure Anything , Douglas Hubbard offers an alternative definition of “measurement” to the Oxford English Dictionary’s “the size, length, or amount of something.” Hubbard defines measurement as: “A quantitatively expressed reduction of uncertainty based on one or more observations.”.

Uncertainty 105

Uncertainty Measurement Cost-Benefit Optimization 105

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

Cloudera

DECEMBER 3, 2021

This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Systems should be designed with bias, causality and uncertainty in mind. For example, training an interview screening model using education data often contains gender information. Governance.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

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

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Given this, it’s crucial to have in Place meticulous testing protocols for the results of models, visualizations, data delivery mechanisms, and overall data utilization.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

CIO Business Intelligence

APRIL 25, 2022

There is a faith embedded in the manifesto that this approach to software engineering is both necessary and superior to older models, such as Waterfall. Collaboration introduces inevitable uncertainty into the process. And the invading Waterfall taskmasters hidden in Scrum’s Trojan Horse absolutely hate uncertainty.)

Uncertainty 105

Uncertainty Software Measurement Interactive 105

O'Reilly on Data

JULY 20, 2021

When we’re building shared devices with a user model, that model quickly runs into limitations. That model doesn’t fit reality: the identity of a communal device isn’t a single person, but everyone who can interact with it. This measurement of trust and risk is benefited by understanding who could be in front of the device.

Risk 335

Risk Software Interactive Modeling 335

Occam's Razor

APRIL 8, 2013

Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. Another way to find the metric you want to change is to look at your business model. The business model also tells you what the metric should be.

Metrics 157

Metrics Analytics KPI Key Performance Indicator 157

Jen Stirrup

NOVEMBER 15, 2022

The foundation should be well structured and have essential data quality measures, monitoring and good data engineering practices. Of course, the findings need to add value, but how do we measure this success? Measures can be financial, tying in with the business strategy. After all, it can sound a bit woolly!

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

DataRobot

AUGUST 30, 2021

An AI system is more than just a model. Best practices in the realm of Operations are as pivotal to an AI system’s trustworthiness as the design of the model itself. Humility Means Recognizing Uncertainty. Recognizing and admitting that uncertainty is a major step in establishing trust. Conclusion. AI you can trust.

Uncertainty 90

Uncertainty Measurement Modeling Software 90

CIO Business Intelligence

MAY 9, 2023

Like most CIOs you’ve no doubt leaned on ROI, TCO and KPIs to measure the business value of your IT investments. Those Three Big Acronyms are still important for fine-tuning your IT operations, but success today is increasingly measured in business outcomes. Maybe you’ve even surpassed expectations in each of these yardsticks.

ROI 126

ROI Cost-Benefit KPI Uncertainty 126

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

DataRobot

JULY 16, 2021

The first is trust in the performance of your AI/machine learning model. They all serve to answer the question, “How well can my model make predictions based on data?” How can identifying gaps or discrepancies in the training data help you build a more trustworthy model? Dimensions of Trust. How large is the data set?

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

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. . Develop and constantly amend the models for scaling technology.”. Some hires may need to be postponed.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

datapine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. That’s why it is important to implement a secure BI cloud tool that can leverage proper security measures. Cost management and containment.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Smart Data Collective

APRIL 18, 2019

While the shared security model is taking some security pressure off the SOC, enterprises who have migrated infrastructure, platforms, and apps do not shed all security responsibilities. Uncertainties are a major roadblock in automating cybersecurity. Cloud Technologies: The cloud can also be overhyped. That’s the best approach.

Behavioral Analytics 97

Behavioral Analytics Advertising Uncertainty Machine Learning 97

CIO Business Intelligence

AUGUST 1, 2024

The measures take effect in stages: Affected companies have to follow the first rules in just six months. The implementation must not become a stalemate for companies: Long legal uncertainty , unclear responsibilities and complex bureaucratic processes in the implementation of the AI Act would hinder European AI innovation.

Risk 119

Risk Uncertainty Testing Digital Transformation 119

Smart Data Collective

JULY 1, 2023

Image annotation is the act of labeling images for AI and machine learning models. This helps train the AI model by assigning classes to different entities in an image. Improving annotation quality is crucial for various tasks, including data labeling for machine learning models, document categorization, sentiment analysis, and more.

Machine Learning 93

Machine Learning Metrics Uncertainty Deep Learning 93

CIO Business Intelligence

FEBRUARY 26, 2024

For any AI model, you can’t interpret the relevance and reliability of the output if you don’t understand the context of the data.” Hot: Getting comfortable with uncertainty To address disruptions across multiple aspects of the business, organizations need to be able to pivot quickly, says DeVry University CIO Chris Campbell.

IT 128

IT Uncertainty Strategy Testing 128

CIO Business Intelligence

FEBRUARY 8, 2024

The global IT services industry is at a significant crossroads, with the explosive growth of generative AI and deepening economic uncertainties reshaping its future. Although there are efforts to boost industries such as semiconductors, there is much uncertainty about when the impact may be seen.

IT 98

IT Uncertainty Consulting Forecasting 98

Jedox

SEPTEMBER 3, 2020

The unprecedented uncertainty forced companies to make critical decisions within compressed time frames. Many pre-crisis business assumptions and planning models became outmoded overnight. Using these drivers as an overlay to stress-test models add robustness to forecasting and can identify exposure and risks to long-term stability.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

CIO Business Intelligence

SEPTEMBER 20, 2023

They are afraid of failure and the uncertainty of knowledge work, and so that’s stressful. Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

CIO Business Intelligence

JUNE 23, 2023

An astounding 93% of respondents noted they strongly agree with the sentence, “I believe my organization needs to embrace a hybrid infrastructure model that spans from mainframe to cloud.” Hybrid cloud solutions are proving to be the most impactful way to modernize an IT organization.

IT 98

IT Risk Management Risk Optimization 98

Jet Global

JULY 23, 2020

Fortunately, the level of uncertainty has fallen considerably, as many businesses are beginning to re-open, albeit with some restrictions and under capacity restrictions. Maintain close relationships with key suppliers and consider taking measures to defend against supply chain interruptions.

Uncertainty 95

Uncertainty Finance Cost-Benefit Reporting 95

DataRobot

APRIL 5, 2021

The uncertainty in her reply piqued my interest. Some claim that fully interpretable models are the solution, that we should constrain the complexity of algorithms so that a layperson can understand them. Some participants were advised of potential model shortcomings due to specific missing inputs.

Machine Learning 96

Machine Learning Uncertainty Modeling Reporting 96

CIO Business Intelligence

JULY 10, 2024

So even with leveraging emerging tech, you need to think about your business model congruence.” Getting the right people with diverse skill sets and capabilities is critical, and then it’s about finding the right roles for those people and giving them clarity on the vision, strategy, and measures of success,” she says.

Strategy 118

Strategy Cost-Benefit Uncertainty Technology 118

CIO Business Intelligence

JULY 23, 2023

EY recently found that in current economic and financial uncertainty, 94% of tech executives plan to increase their IT investment over the next year. Optimization also rose to the top of IT leaders’ lists: 67% measure success within their IT organization by better optimizing resources.

Optimization 95

Optimization IT Digital Transformation Uncertainty 95

Sisense

MARCH 26, 2020

To effectively identify what measures need to be taken, analytics can help to summarize and predict how companies should evolve to survive in a challenging environment. Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. Making smarter staffing decisions.

Management 91

Management Cost-Benefit Uncertainty Digital Transformation 91

IBM Big Data Hub

MARCH 25, 2024

Get the study: The Revolutionary Content Supply Chain A content supply chain brings together people, processes, and technology to effectively plan, create, produce, launch, measure, and manage content. Modernizing a workflow to introduce a content supply chain means disruption and uncertainty.

Uncertainty 97

Uncertainty Cost-Benefit Risk Measurement 97

IBM Big Data Hub

FEBRUARY 20, 2024

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. Climate models provide answers Human activities precipitated changes to the Earth’s climate in the 20th century and will largely determine the future climate.

Forecasting 113

Forecasting Modeling Reporting Risk 113

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. The consumer lending business is centered on the notion of managing the risk of borrower default. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry.

Predictive Analytics 83

Predictive Analytics Analytics Data mining Cost-Benefit 83

AWS Big Data

SEPTEMBER 5, 2024

In the context of Retrieval-Augmented Generation (RAG), knowledge retrieval plays a crucial role, because the effectiveness of retrieval directly impacts the maximum potential of large language model (LLM) generation. document-only) ~ 20%(bi-encoder) higher NDCG@10, comparable to the TAS-B dense vector model.

Metrics 111

Metrics Testing Experimentation Modeling 111