Remove Risk Management Remove Testing Remove Uncertainty
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Why HR professionals struggle with big data

CIO Business Intelligence

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. If a database already exists, the available data must be tested and corrected. Aspects such as employee satisfaction and talent development are often neglected.

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CIO insights: What’s next for AI in the enterprise?

CIO Business Intelligence

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.

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Optimizing Risk and Exposure Management – Roundtable Highlights

Cloudera

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 100
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How to Build Trust in AI

DataRobot

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.

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How guardrails allow enterprises to deploy safe, effective AI

CIO Business Intelligence

The only significant increase in risk mitigation was in accuracy, where 38% of respondents said they were working on reducing risk of hallucinations, up from 32% last year. However, organizations that followed risk management best practices saw the highest returns from their investments.

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20 issues shaping generative AI strategies today

CIO Business Intelligence

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.

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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

This allows for an omni-channel view of the customer and enables real-time data streaming and a safe zone to test machine learning models using Cloudera Data Science Workbench (CDSW). Learn more about the Cloudera Data Impact Awards and see past winners!