Forecasting uncertainty at Airbnb
O'Reilly on Data
MARCH 28, 2019
Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. Continue reading Forecasting uncertainty at Airbnb.
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O'Reilly on Data
MARCH 28, 2019
Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. Continue reading Forecasting uncertainty at Airbnb.
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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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.
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.
Speaker: Gertjan de Lange
If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Don't let uncertainty drive your business. Watch this exclusive demo today!
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?
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.
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.
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.
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.
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.
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.
Smart Data Collective
APRIL 20, 2020
With the Coronavirus pandemic, the world has been thrown into complete uncertainty. Corporations need data to forecast the market’s future and the recent drop in the price of fossil fuels have invigorated alternative energy projects globally. Smart metering helps predict demand and forecasts what will be needed based on data.
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.
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.
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.
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.
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.
O'Reilly on Data
MARCH 27, 2019
Forecasting uncertainty at Airbnb. Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. Watch " Forecasting uncertainty at Airbnb.". Watch " Winners of the Strata Data Awards 2019.".
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.
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.
CIO Business Intelligence
JANUARY 15, 2024
Having a finance expert like Saleh at the helm could help stabilize Atos as it seeks to negotiate the uncertainties around its debt rescheduling and its recapitalization plans, which the company says are unchanged since its announcement on Jan. It had previously reported revenue of €11.3
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.
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.”.
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.
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’. They all want to be future proof, where their operations become more flexible and resilient so they can bounce back faster to unforeseen challenges. It’s easy to see why. It’s a must have.
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.
CIO Business Intelligence
DECEMBER 13, 2023
Certinia is using predictive AI to deliver more precise forecasts of cash flow and days to pay, based on analyses of trends in customer payments, and to forecast how many days it will take to staff resource requests, help enterprises keep projects on schedule, or to manage their customers’ expectations when things fall behind.
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.
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
Jedox
SEPTEMBER 3, 2020
The unprecedented uncertainty forced companies to make critical decisions within compressed time frames. The room for poor assumptions and missed forecasts shrank. Using these drivers as an overlay to stress-test models add robustness to forecasting and can identify exposure and risks to long-term stability. Conclusion.
CIO Business Intelligence
OCTOBER 28, 2022
So, we’ve carried that forecast through to the fourth quarter,” CFO Brian Olsavsky said, according to a Motley Fool transcript. Just like all companies, they want to lower their spend when they’re faced with uncertainty in the market,” Olsavsky said while responding to a question on customer behavior.
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.
Jet Global
APRIL 12, 2021
Demands on tax teams have never been greater, especially when the uncertainty of the economy and the ongoing impact of the pandemic are considered. It’s likely to be later in 2021 or 2022 by the time normality reappears, and such uncertainty requires tax professionals to plan for multiple scenarios.”. Process, Technology, and People.
CIO Business Intelligence
OCTOBER 19, 2022
Outdated financial systems and processes prevent many healthcare organizations from being able to adapt quickly to operational uncertainties, which impact their ability to manage costs, operate efficiently, and provide the best possible care,” Matthew Bradley, senior vice president of applications development at Oracle, said in a statement.
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. But it’s not.
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. Today, over 70% of the U.S. How can AI and generative AI help?
CIO Business Intelligence
OCTOBER 12, 2023
Premium Plus includes access to sustainability insights derived from business processes’ carbon footprints and financial costs (SAP’s “ green ledger ”), new generative AI capabilities accessed through its Joule virtual assistant, improved forecasting, and the ability to create a portal for suppliers to simplify spend management.
Jet Global
JUNE 21, 2023
CEOs are increasingly partnering with CFOs to guide companies through this current uncertainty. Accurate financial forecasting requires more frequent reporting, tapping the productivity of already lean finance teams,” said Bryan Motteram, VP of product marketing at insightsoftware.
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.
IBM Big Data Hub
FEBRUARY 20, 2024
According to the Geophysical Fluid Dynamics Laboratory of the US’s National Oceanic and Atmospheric Association (NOAA), “Climate models reduce the uncertainty of climate change impacts, which aids in adaptation.”
Jet Global
MARCH 19, 2021
To keep a closer eye on the state of the business, many leaders in the real-estate sector are looking to shrink their budgeting and planning cycles, or even moving to continuous planning and rolling forecasts. Such approaches are gaining popularity as economic uncertainty and volatility are prevalent.
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.
CIO Business Intelligence
FEBRUARY 28, 2023
The year ahead is likely to be characterised by recessionary pressures in key global economies, increasing borrowing costs, unpredictable supply chains, oil price uncertainty, and volatile demand. of all ICT investments made that year.
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