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

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 134

Modeling Finance Uncertainty Data mining 134

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 95

IT Uncertainty Consulting Forecasting 95

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 142

IT Uncertainty Data-driven Sales 142

CIO Business Intelligence

DECEMBER 6, 2023

In a world where macroeconomic uncertainty has become the new normal, being future-proof is no longer a ‘nice to have’. Those who are willing to make it central to their transformation journeys will open themselves up to new models and revenue streams that will become proof of their future promise. It’s easy to see why.

Forecasting 110

Forecasting Uncertainty Modeling Optimization 110

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 118

Management Analytics Predictive Analytics Cost-Benefit 118

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 81

Uncertainty Forecasting Finance Data-driven 81

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

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 110

Uncertainty Forecasting Visualization Big Data 110

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 121

Modeling Forecasting Reporting Risk 121

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

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 141

Data mining Data-driven Statistics OLAP 141

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

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 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

Juice Analytics

APRIL 17, 2020

Forecasts are not Predictions (But they’re still useful.) Forecasts are built by experts, using lots of assumptions, based on very complex and specifically applied statistical models. And forecast modelers know how not only to create those, but also how to interpret them. Volume is not equivalent to accuracy.

Forecasting 85

Forecasting Snapshot Dashboards Uncertainty 85

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 100

Cost-Benefit Uncertainty Digital Transformation Optimization 100

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 Data-driven Uncertainty 52

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 134

Digital Transformation Uncertainty Metrics Business Objectives 134

Cloudera

AUGUST 26, 2021

Alternatively, let’s look at the trend of vaccinations in a few countries, along with a forecast of when the countries will reach the threshold of say 70% vaccinated. . def plot_vaccination_forecast (forecast, country, title): . forecast_holder = []. label="uncertainty"). model = fbprophet.Prophet(). Trim down columns.

Data Science 111

Data Science Forecasting Metadata Machine Learning 111

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 141

Uncertainty Cost-Benefit Risk Technology 141

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 Data-driven Forecasting 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 60

Deep Learning Machine Learning Forecasting Uncertainty 60

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

IBM Big Data Hub

MARCH 8, 2024

The ecosystem has become more complex as business models advance and new ecommerce trends appear. Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. In the United States, the market is still emerging, bringing in a forecasted USD 32 billion as of 2023.

Consulting 87

Consulting Marketing Sales Data Processing 87

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 140

Risk Manufacturing Enterprise Technology 140

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. Forward-looking enterprises that are achieving better outcomes have already quickly reworked forecasts on supply chains, materials, and costs. Navigating Your Transition to xP&A.

Forecasting 52

Forecasting Finance Uncertainty Sales 52

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. Predict: Lastly, look to forecast trends in supply and demand and track fast-moving changes in leading indicators. Integrate data to understand revenue drivers. Create transparency, reduce overhead.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

CIO Business Intelligence

FEBRUARY 24, 2023

It’s a model that is also drawing the attention of other U.S. While the list of factors presented here is, and the list of factors presented in the registration statement on Form S-4 are, considered representative, no such list should be considered to be a complete statement of all potential risks and uncertainties. government.

Software 114

Software Uncertainty Risk Cost-Benefit 114

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Full circle data experience: achieved.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

CIO Business Intelligence

AUGUST 1, 2023

Instead, our entire business model is grounded in the belief that we can create innovative solutions that will deliver on our customers’ needs over time and progress through multiple generations of technology. We co-create with them, and we invest in continuously addressing their needs.

Uncertainty 92

Uncertainty Risk Sales Marketing 92

bridgei2i

SEPTEMBER 16, 2020

After two consecutive quarters of revenue loss and a cautiousness to invest due to uncertain market scenario, some businesses in the US are trying to leverage new datasets for better demand forecasts, and therefore pass those inputs for supply chain efficiencies and offer better customer experience. Laura: Hmm, great question!

Digital Transformation 98

Digital Transformation Enterprise Sales Forecasting 98

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

Jedox

OCTOBER 8, 2020

We are currently operating in an environment with a very high (if not the highest ever) level of VUCA, (Volatility, Uncertainty, Complexity, Ambiguity). The way you mitigate uncertainty is with planning, planning, and more planning. To quote General/President Dwight D.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Jet Global

APRIL 2, 2020

Unless you operate in a few privileged industries, you will likely contend with declining revenues this quarter and next, making it incumbent on the accounting team to adjust plans and forecasts accordingly. Having access to up-to-date data to understand the depth of those declines and their enterprise-wide impact will be crucial.

Finance 64

Finance Forecasting Uncertainty Sales 64