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. These developments, along with broader market reports, have cast a shadow over the growth prospects of the IT services sector.

IT 89

IT Uncertainty Consulting Forecasting 89

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 103

Uncertainty Cost-Benefit Risk Measurement 103

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. degrees Celsius (2.66

Modeling 120

Modeling Forecasting Reporting Risk 120

DataRobot

AUGUST 5, 2021

The auditor’s report contained both good news and bad news. 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.”.

Uncertainty 98

Uncertainty Sales Risk Statistics 98

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 107

Machine Learning Data Architecture Uncertainty Data-driven 107

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 106

Uncertainty Software Measurement Interactive 106

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

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 119

ROI Cost-Benefit KPI Uncertainty 119

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.” To read the full report, or to learn how Rocket Software can help IT leaders modernize without disruption, click here. Digital Transformation

IT 97

IT Risk Management Risk Optimization 97

CIO Business Intelligence

APRIL 28, 2024

However, new energy is restricted by weather and climate, which means extreme weather conditions and unpredictable external environments bring an element of uncertainty to new energy sources. It was the solution of choice to achieve an observable, measurable, adjustable, controllable and traceable low-voltage side.

Interactive 76

Interactive Uncertainty Data Collection IoT 76

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.”.

Management 244

Management Metrics Machine Learning Modeling 244

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. Considering only one in ten companies report significant financial benefits from implementing AI , the collaboration of business subject matter experts and technical experts is critical. She said they did have one data scientist, so I asked if their data scientist was any good.

Uncertainty 96

Uncertainty Machine Learning Modeling Reporting 96

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 130

Digital Transformation Uncertainty Metrics Business Objectives 130

BI-Survey

FEBRUARY 14, 2022

Overnight, the impact of uncertainty, dynamics and complexity on markets could no longer be ignored. Local events in an increasingly interconnected economy and uncertainties such as the climate crisis will continue to create high volatility and even chaos. The COVID-19 pandemic caught most companies unprepared. BARC Recommendations.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 137

Risk Manufacturing Enterprise Technology 137

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

IBM Big Data Hub

OCTOBER 18, 2022

CEOs identify a range of challenges both within and beyond their organizations, and only a quarter report active implementation of their sustainability strategy across their entire enterprise. In the last five years, CEOs report their investments in sustainability have more than doubled as a percentage of revenue.

Uncertainty 52

Uncertainty Strategy Measurement ROI 52

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 94

Cost-Benefit Modeling Manufacturing Interactive 94

Smarten

JULY 18, 2022

The path to Citizen Data Scientist does not have to be fraught with uncertainty.’. These individuals may already be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. Training is a key component of this success.

Uncertainty 52

Uncertainty Predictive Analytics Forecasting Analytics 52

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. To facilitate risk modeling in this new normal, agility and flexibility is required. Security Magazine recently reported that Multi-cloud adoption grew by 70% year over year. Data Variety.

Insurance 92

Insurance Digital Transformation Unstructured Data Machine Learning 92

AWS Big Data

AUGUST 7, 2023

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. You pay only the associated Forecast costs.

Forecasting 86

Forecasting Data Warehouse Machine Learning Modeling 86

Perceptual Edge

APRIL 21, 2019

We could argue that the signal-to-noise ratio is the most essential consideration in data visualization—the fundamental guide for all design decisions while creating a data visualization and the fundamental measure of success once it’s out there in the world.

Visualization 76

Visualization Statistics Uncertainty Modeling 76

Sisense

MARCH 24, 2020

Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. With smart dashboards and KPIs , the BraunAbility team is able to tie discount data from marketing platforms to sales results in order to more effectively measure the impact of any discount.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

Insight

FEBRUARY 19, 2020

My goal here is not to improve upon the current prediction algorithms but rather to describe a model I devised, called ReelRisk , that uses random resampling to generate a range of predictions which can then be used as a risk assessment tool to determine early on whether to fund a movie.

Risk 67

Risk ROI Modeling Metrics 67

Sisense

SEPTEMBER 9, 2019

Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Following a few false starts and some great iterative learning with the BigSquid team, we came away with a solid predictive data model of the warranty costs for future periods. Using Sentiment Analytics to Inform New Product Design Decisions.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Data Science and Beyond

JANUARY 7, 2019

Therefore, bootstrapping has been promoted as an easy way of modelling uncertainty to hackers who don’t have much statistical knowledge. Confidence intervals are a common way of quantifying the uncertainty in an estimate of a population parameter. Don’t compare confidence intervals visually.

Statistics 77

Statistics Uncertainty Testing Modeling 77

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. It’s analyzed through numerical comparisons and statistical inferences and is reported through statistical analyses. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Jet Global

SEPTEMBER 10, 2020

Living through periods of rapid upheaval and uncertainty, like the recent pandemic, forces us to adapt quickly to new working practices. One area that often goes overlooked is the value that can be achieved from the application of consolidated KPIs to measure major indicators. Addressing Long-Lasting Changes.

Forecasting 52

Forecasting Finance Uncertainty Sales 52

bridgei2i

JUNE 3, 2020

Consumers feel threatened by the prolonged uncertainty, not having had to deal with anything like it, in their lives. Difficulties in forecasting & planning: Pre-COVID forecasts are no longer valid as the pandemic has entirely disrupted the market and enterprises would need to work on new models to predict KPIs.

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

The Unofficial Google Data Science Blog

JULY 22, 2020

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. In practice, one may want to use more complex models to make these estimates. For example, one may want to use a model that can pool the epoch estimates with each other via hierarchical modeling (a.k.a.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? It is hard to account for such tweaking in measurement systems. Some relate to inherent issues with what is being measured.

Metrics 49

Metrics Statistics Data Quality Measurement 49

bridgei2i

MAY 4, 2020

So the COVID-19 crisis response has hence been centrifugal, and it has varied across countries with respect to infections, control, and lockdown measures. So businesses here are focusing on plans for supply chains, for facilities, governance, reporting – so that they can react quickly once all of the economic activity resumes.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

The Unofficial Google Data Science Blog

APRIL 17, 2017

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Quantification of forecast uncertainty via simulation-based prediction intervals. Calendaring was therefore an explicit feature of models within our framework, and we made considerable investment in maintaining detailed regional calendars.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

CIO Business Intelligence

FEBRUARY 27, 2023

As Konstantin Vasiuk, executive director of the IT Ukraine Association wrote in a recent report: “It remains the only export industry in Ukraine that operates to its full capacity in wartime.” For us, the uncertainty of not knowing if the staff were safe was the most difficult part. over the previous year.

Software 84

Software Marketing Uncertainty Technology 84

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

Advertising 42

Advertising Testing Sales Statistics 42