Remove Data Processing Remove Risk Remove Testing
article thumbnail

7 types of tech debt that could cripple your business

CIO Business Intelligence

CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.

Risk 123
article thumbnail

What to Do When AI Fails

O'Reilly on Data

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. AI incidents, in other words, don’t require an external attacker.

Risk 364
Insiders

Sign Up for our Newsletter

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

article thumbnail

5 top business use cases for AI agents

CIO Business Intelligence

There are risks around hallucinations and bias, says Arnab Chakraborty, chief responsible AI officer at Accenture. Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. The data is kept in a private cloud for security, and the LLM is internally hosted as well.

Software 143
article thumbnail

New regulation intensifies focus on IT risk management and operational resilience

CIO Business Intelligence

As IT landscapes and software delivery processes evolve, the risk of inadvertently creating new vulnerabilities increases. These risks are particularly critical for financial services institutions, which are now under greater scrutiny with the Digital Operational Resilience Act ( DORA ).

article thumbnail

Florida Crystals concentrates SAP in hosting sweet spot

CIO Business Intelligence

Kevin Grayling, CIO, Florida Crystals Florida Crystals It’s ASR that had the more modern SAP installation, S/4HANA 1709, running in a virtual private cloud hosted by Virtustream, while its parent languished on SAP Business Suite. One of those requirements was to move out of its hosting provider data center and into a hyperscaler’s cloud.

article thumbnail

Why you should care about debugging machine learning models

O'Reilly on Data

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. 6] Debugging may focus on a variety of failure modes (i.e., Sensitivity analysis.

article thumbnail

US Air Force seeks generative AI test pilots

CIO Business Intelligence

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

Testing 119