CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

Enterprise 111

Enterprise Uncertainty Risk Management Reporting 111

Cloudera

JULY 15, 2021

For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. . In this session we explored what firms are doing to approach the uncertainty with more predictability.

Risk 97

Risk Optimization Management Insurance 97

CIO Business Intelligence

JULY 31, 2023

As vendors add generative AI to their enterprise software offerings, and as employees test out the tech, CIOs must advise their colleagues on the pros and cons of gen AI’s use as well as the potential consequences of banning or limiting it. Douglas Merrill, a partner at management consulting firm McKinsey & Co., Carmichael says.

Strategy 95

Strategy Risk Enterprise Risk Management 95

DataRobot

JULY 16, 2021

Testing your model to assess its reproducibility, stability, and robustness forms an essential part of its overall evaluation. Independent and international standards, such as ISO 27001, exist to verify an information security management system’s operation. Recognizing and admitting uncertainty is a major step in establishing trust.

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

IBM Big Data Hub

JULY 31, 2023

Why mainframe application modernization stalls We’ve experienced global economic uncertainties in recent memory, from the 2008 “too big to fail” crisis to our current post-pandemic high interest rates causing overexposure and insolvency of certain large depositor banks.

Digital Transformation 52

Digital Transformation Uncertainty Risk Data Warehouse 52

Cloudera

MAY 15, 2018

Our platform efforts in this regard are being led by Hilary Mason, founder of Fast Forward Labs , and now general manager of Cloudera’s Machine Learning business unit, whose passion for analytics and innovation has no bounds! Probability, Uncertainty and Quantitative Risk (2017) 2:6. Mauro Cesa. “A Additional resources.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Insight

FEBRUARY 19, 2020

I held out 20% of this as a test set and used the remainder for training and validation. Below is the result of a single XGBoost model trained on 80% of the data and tested on the unseen held-out 20%. Scatterplot of the predicted ROI vs. the true ROI for the hold-out test set. Even then, some manual cleaning was needed (e.g.,

Risk 67

Risk ROI Modeling Metrics 67