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. This requires modeling, not casual empiricism. In the face of uncertainty, investor relations are paramount.

Uncertainty 52

Uncertainty Modeling Management Finance 52

Smart Data Collective

MARCH 2, 2023

As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services.

Big Data 85

Big Data Uncertainty Risk Data mining 85

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

DataRobot Blog

OCTOBER 4, 2022

This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting. In the last few years, businesses have experienced disruptions and uncertainty on an unprecedented scale.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

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. million in its first year, contributed a $5.5

IT 128

IT Forecasting Machine Learning Modeling 128

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. A dynamic environment requires flexible decision support and short-term updates of targets and forecasts.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. A dynamic environment requires flexible decision support and short-term updates of targets and forecasts.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

O'Reilly on Data

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 135

Modeling Finance Uncertainty Data mining 135

CIO Business Intelligence

JULY 18, 2022

According to John-David Lovelock, research vice president at Gartner, inflationary pressures are top-of-mind for most IT decision-makers at the moment, which creates a degree of uncertainty—high prices today could become even higher tomorrow. We forecast this trend is going to continue over the next couple of years.”.

IT 144

IT Uncertainty Data-driven Sales 144

The Unofficial Google Data Science Blog

APRIL 17, 2017

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Jedox

JANUARY 3, 2023

In times of uncertainty and change, technology can drive our ability to adapt quickly. Geopolitical tensions could cause rapid change across the economy, requiring organizations to change strategies quickly, re-forecast often, and use multiple scenario planning with all information available. Technology is a talent magnet.

Uncertainty 85

Uncertainty Forecasting Finance Data-driven 85

Smart Data Collective

OCTOBER 6, 2023

Data analytics technology has helped retail companies optimize their business models in a number of ways. One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. This underscores the importance of investing in predictive analytics technology to forecast sales.

Management 121

Management Analytics Predictive Analytics Cost-Benefit 121

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. Cognizant Technology Solutions announced a full-year revenue forecast below expectations.

IT 98

IT Uncertainty Consulting Forecasting 98

The Unofficial Google Data Science Blog

APRIL 19, 2021

by LEE RICHARDSON & TAYLOR POSPISIL Calibrated models make probabilistic predictions that match real world probabilities. To explain, let’s borrow a quote from Nate Silver’s The Signal and the Noise : One of the most important tests of a forecast — I would argue that it is the single most important one — is called calibration.

Modeling 122

Modeling IT Metrics Testing 122

CIO Business Intelligence

SEPTEMBER 22, 2022

Seeing that remote working continues to be a pressing issue still finding its footing after nearly three years in beta testing, the work surrounding feasible solutions seems to compound as time goes on, with some intending a full return to office while others have forged the company future on remote models.

Uncertainty 111

Uncertainty Forecasting Visualization Big Data 111

Jet Global

JANUARY 12, 2021

With the pace of change and uncertainty facing your business, is your current planning process fit for purpose? How easily can you keep up with new pressures to forecast more frequently, more accurately, and with input from across the whole organization? Europe, Middle East, Africa. Register Now. Asia Pacific. Register Now.

Uncertainty 98

Uncertainty Finance Forecasting Testing 98

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

Jet Global

FEBRUARY 2, 2021

Forecasting and planning have taken on much greater importance than ever before. The planning and forecasting tools provided with most ERP systems provide limited flexibility, and typically require a considerable amount of manual effort. Over time, the process that has historically been known as budgeting and forecasting has evolved.

Forecasting 96

Forecasting Finance Uncertainty Dashboards 96

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

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. The room for poor assumptions and missed forecasts shrank. This placed an acute spotlight on planning agility. Conclusion.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

CIO Business Intelligence

OCTOBER 11, 2023

While international conflict, economic uncertainty and climate change are affecting businesses of all kinds, energy companies and utilities are also dealing with aging infrastructure, constant cyberattacks, increased regulation and rising customer expectations. And by 2028, the AI spend is likely to more than quadruple to 14.257 billion USD.

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

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.

Forecasting 52

Forecasting Uncertainty Measurement Cost-Benefit 52

CIO Business Intelligence

OCTOBER 19, 2022

Better financial planning via EPM suite In order to help healthcare companies optimize financial and operational management, the company said it was launching planning capabilities that can model scenarios, determine future demand, optimize resources, and help users make better financial, workforce, and patient care decisions.

Uncertainty 105

Uncertainty Optimization Manufacturing Forecasting 105

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

Jet Global

OCTOBER 21, 2020

Companies use forecasting to make critical investments, plan for covenant compliance, and even decide on future mergers and acquisitions (M&A) strategies. Furthermore, obtaining organisational consensus on a forecast can be as difficult as getting the organisation to contribute to the planning process in the first place.

Forecasting 98

Forecasting Finance Business Driver Key Performance Indicator 98

IBM Big Data Hub

FEBRUARY 20, 2024

Climate models provide answers Human activities precipitated changes to the Earth’s climate in the 20th century and will largely determine the future climate. Global climate models have given climate scientists a set of expectations as to what the future could hold, both for the Earth at large and for specific regions.

Modeling 113

Modeling Forecasting Reporting Risk 113

CIO Business Intelligence

OCTOBER 23, 2023

IT professionals can play a pivotal role by strategically leveraging as-a-service models as a key part of their organizations, enabling them to contribute not only to cost efficiencies but also to their organizations’ sustainability goals. It’s a win-win scenario when moving to an as-a-service model.

Cost-Benefit 105

Cost-Benefit Uncertainty Digital Transformation Optimization 105

DataRobot Blog

MARCH 17, 2022

Businesses today operate under greater pressure and greater uncertainty than ever before. In the face of this pressure, more and more companies are looking for ways to automate forecasting and empower front-line decision-makers with actionable insights. Without data, you can’t have insights or models in production.

Forecasting 52

Forecasting Machine Learning Uncertainty Data-driven 52

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. The customer’s operation model has changed from passive response to proactive service. We need to build grid-based sources, loads and networks.

Interactive 94

Interactive Uncertainty Data Collection IoT 94

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

DataRobot Blog

JUNE 21, 2022

The last few years have been plagued with uncertainty, making it difficult to navigate everyday life, let alone plan and make thoughtful decisions for a business. Forecasting for the Real World, Not the Ideal World. When you create an application from your deployed time series model, you will see a build mode and a go-to app mode.

Forecasting 59

Forecasting Sales Uncertainty Testing 59

CIO Business Intelligence

MAY 23, 2023

Unlocking VMware’s potential Broadcom’s business model and its decades of focus on R&D combined with VMware’s core technology and superb talent will be the catalysts that will enable VMware to capture the growth opportunity in front of it. VMware needs more partners to grow, and we will help it succeed in doing so.

Uncertainty 144

Uncertainty Cost-Benefit Risk Enterprise 144

Jet Global

MAY 11, 2021

By a significant margin, respondents identified financial planning and analysis (66%) as the finance team’s main responsibility, followed by its key elements of financial modeling (56%) and budget and forecasting (48%). COVID-19 Response & Economic Recovery Indicators. Visit insightsoftware.com for more information.

Finance 98

Finance Technology Forecasting Uncertainty 98

Timo Elliott

JANUARY 4, 2021

First, because uncertainty exploded. We’re no longer talking about tinkering at the margins of a stable business model. It’s now about using data for survival in the present and new business models in the future. Dashboards and analytics have been around for a long, long time. But recently, there has been a surge in demand.

Dashboards 139

Dashboards Visualization Forecasting Data-driven 139

Cloudera

OCTOBER 27, 2020

Instead of relying on pre-trained models that may be less effective for domain-specific problems, what meta-learning proposes is to use an end-to-end deep learning algorithm. In turn, this enables us to classify new classes based on only a handful of examples during model inference that makes meta-learning particularly attractive.

Deep Learning 62

Deep Learning Machine Learning Forecasting Uncertainty 62

DataRobot

JUNE 1, 2021

Before you put a model into production, you may first need to clear compliance hurdles. Typically, these areas require the most attention: model development, implementation, and use. Managing risk for any model involves understanding which monitoring and risk-mitigation procedures apply. Knowing When to Trust a Model.

Uncertainty 52

Uncertainty Machine Learning Advertising Risk 52

erwin

AUGUST 13, 2020

Compliance and Legislation : How do we manage uncertainty around legislative change (e.g., balance growth goals with cost reduction, forecast resources needs vs. revenue)? And the platform also supports business process modeling and analysis. Data Overload : How do we find and convert the right data to knowledge (e.g.,

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143