Remove Forecasting Remove Measurement Remove Risk Remove Uncertainty
article thumbnail

Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO Business Intelligence

Gen AI has the potential to magnify existing risks around data privacy laws that govern how sensitive data is collected, used, shared, and stored. We’re getting bombarded with questions and inquiries from clients and potential clients about the risks of AI.” The risk is too high.” Not without warning signs, however.

article thumbnail

How Private Equity Firms Can Manage Uncertainty With Scenario Modeling

Jedox

In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. To understand the marginal impact of changes you need an analytical framework that measures shifts from baseline scenarios. In the face of uncertainty, investor relations are paramount.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. But what will the impacts of climate change be in the future?

Modeling 121
article thumbnail

How CFOs Can Lead With Foresight

Jedox

The new normal introduced new risks from employee health and safety, supply chain stress and government mandates – all with working capital implications. The unprecedented uncertainty forced companies to make critical decisions within compressed time frames. The room for poor assumptions and missed forecasts shrank. Conclusion.

article thumbnail

Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

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.

article thumbnail

5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

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.

article thumbnail

How data and analytics can help businesses stay ahead in uncertain times

Data Insight

So, in the face of uncertainty, how should businesses be looking to use data to stay ahead? This phase is about identifying the specific segments, customers, channels or products that are at risk or represent an opportunity for growth. Measure – how are things changing? Monitor – what is happening?