The Unofficial Google Data Science Blog

DECEMBER 4, 2019

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

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Forecasting Data Science Statistics Uncertainty 115

Jet Global

JUNE 8, 2021

In periods of great uncertainty, organizations forecast more frequently in the hope that it will give them a better handle on their trading prospects, levels of activity, and resources needed for the coming months. The forecasting wheel is turning faster and faster, but the process hasn’t changed materially.

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Forecasting Uncertainty Cost-Benefit Reporting 98

AWS Big Data

AUGUST 7, 2023

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

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Jet Global

JULY 29, 2020

Susie Cooke, Partner, Deloitte Canada, alongside insightsoftware’s Jamie Eagan, VP Product Management, and Kathryn Abate, Pre Sales Director, Tax, will discuss how organisations’ tax teams can be responsive to market uncertainty and organisational reforecasts as a result of the downturn. Register Now.

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Jedox

APRIL 9, 2020

Times of crisis mean uncertainty, both personally and professionally. In this blog post, we’ll look at the importance of agility in FP&A in being able to better manage uncertainties, even during uncertain times and build resilience for the future. Business Continuity. Better agility increases resiliency.

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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.

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CIO Business Intelligence

MARCH 26, 2024

Trendforce forecasts that starting in 2024, the demand for AI development and software services will significantly increase, alongside the growth of edge computing AI servers using mid-range GPUs and FPGAs.

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Uncertainty Forecasting Optimization Consulting 119

Dataiku

NOVEMBER 13, 2020

While the backdrop of 2020’s global health crisis and economic uncertainty makes heading into the holiday season quite unlike years past, the U.S. is still slated to drive online sales growth.

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Forecasting Uncertainty Sales 105

CIO Business Intelligence

MARCH 15, 2023

The pressure is on to navigate economic uncertainty. growth underscores how inflation, interest rate fluctuations, and consumer spending are reshaping forecasts, investment portfolios, and the CIO agenda. All things related to maintaining the systems to land, expand, and renew business at forecasted volumes are no brainers.

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CIO Business Intelligence

MAY 19, 2022

They’re people — each with their own unique circumstances at home, families to support, and worries about the uncertainty that comes with a volatile global pandemic. Aside from the workflow inefficiencies that come with a distributed service center, there’s an element of human emotion that needs to be addressed.

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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. However, predictive analytics will probably be even more important as global uncertainty is higher than ever. The EU economy is expected to increase by 2.7%

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O'Reilly on Data

JANUARY 22, 2019

All models, therefore, need to quantify the uncertainty inherent in their predictions. Errors in analysis and forecasting may arise from any of the following modeling issues: using an inappropriate functional form, inputting inaccurate parameters, or failing to adapt to structural changes in the market.

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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. Would you put your client’s sales forecast into Facebook?

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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.

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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.”.

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CIO Business Intelligence

MARCH 23, 2023

Despite the reduced forecast, Accenture’s diversified business and industry mix can help offset weakness in specific sectors, such as technology, and provide stability, Rasero said, adding that long-term demand prospects for Accenture’s services remain high as the company continues to benefit from digital transformation trends.

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Uncertainty Cost-Benefit Consulting Digital Transformation 98

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

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IT Insurance Consulting Risk 122

John Wheeler

JANUARY 31, 2021

No doubt, 2021 will be the year of uncertainty and change. As it turns out, uncertainty and change are the two primary aspects of strategic, operational and technology risk fueling the current demand for integrated risk management (IRM). A focus on performance and assurance helps to reduce uncertainty related to strategic goals.

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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.

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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

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Jedox

AUGUST 6, 2020

In our previous blog post, “ What are Rolling Forecasts? ” we covered forecasting and rolling forecasts in general. In our second post in this series, we look at the pros and cons of introducing rolling forecasts for your organization. Year-end forecasts help to make decisions in order to achieve annual goals.

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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

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CIO Business Intelligence

MAY 2, 2022

Faced with massive uncertainties, many organizations have essentially given up on crafting strategy, deciding instead that regulatory compliance will be a surrogate for strategy. Embrace uncertainty. In the U.S., roughly 12% of GDP is spent on regulatory compliance.

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Smart Data Collective

OCTOBER 6, 2023

One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. Data Analyst Solomon Nyamson wrote an article on Linkedin pointing out that predictive analytics tools like Sarima have made it easier than ever to forecast retail sales due to seasonal changes.

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CIO Business Intelligence

DECEMBER 26, 2023

As a first step toward reducing uncertainty and surprise in 2024, I suggest CIOs take baby steps to operationalize learning by leaning into this briefing structure. Uncertainty is Certain A key reason to do this is because uncertainty abounds. There are a wide range of possible outcomes in 2024.

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Jet Global

APRIL 8, 2021

Many organizations already consider the potential short-term challenges to their tax positions when building forecasts. How prepared are they, though, for the different sets of risks and opportunities associated with long-term uncertainties? Instead, they should already be incorporating these considerations into their tax forecasts.

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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.

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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.

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Forecasting Management Uncertainty 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. The Dataset.

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CIO Business Intelligence

FEBRUARY 20, 2025

This is due, on the one hand, to the uncertainty associated with handling confidential, sensitive data and, on the other hand, to a number of structural problems. Most use master data to make daily processes more efficient and to optimize the use of existing resources.

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Jedox

APRIL 21, 2020

In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. At the fund level, great uncertainty demands continual strategic and portfolio reviews to manage liquidity, identify assets at risk, and understand growth challenges. Pinpoint opportunities.

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Jet Global

FEBRUARY 10, 2021

Contributory factors to uncertainty. Two of the biggest reasons that lead to year-end uncertainty and eleventh-hour price changes are the lack of proper planning and coordination that should happen throughout the year. A further 10 percent calculate October actuals and 2-month forecasts. How to establish best practices.

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Finance Uncertainty Forecasting Software 98

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.

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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.

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Uncertainty Finance Forecasting Testing 98

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.

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CIO Business Intelligence

SEPTEMBER 22, 2022

This echoes some existing sentiment, especially around D&I, for instance, but the discipline of success lies in not only thinking 10 years ahead but also walking it back to the present to account for progress—a model that has given the IFTF a consistent track record of successfully forecasting futures. “I

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Uncertainty Forecasting Visualization Big Data 111

Smart Data Collective

FEBRUARY 14, 2023

Last year, Xiafei Li and his two colleagues in China published a study in the Annals of Operations Research on the ability to forecast stock market volatility with predictive analytics models. Many of these tools also use predictive analytics to forecast future asset prices with their valuation models.

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