Remove Forecasting Remove Modeling Remove Strategy Remove Uncertainty
article thumbnail

Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO Business Intelligence

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?

article thumbnail

Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

Smart Data Collective

As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. Big data technology can significantly improve the company’s pricing strategy. Therefore, it is a good idea to have predictive analytics models that account for these variables.

Insiders

Sign Up for our Newsletter

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

article thumbnail

How Private Equity Firms Can Manage Uncertainty With Scenario Modeling

Jedox

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.

article thumbnail

Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

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.

article thumbnail

Easily Build an Optimization App and Empower Your Data

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. Experience how efficient you can be when you fit your model with actionable data.

article thumbnail

The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

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
article thumbnail

IT budget shock: Global IT services firms continue to struggle

CIO Business Intelligence

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 84