Remove Modeling Remove Optimization Remove Risk Remove Technology
article thumbnail

Gen AI without the risks

CIO Business Intelligence

Developing and deploying successful AI can be an expensive process with a high risk of failure. Six tips for deploying Gen AI with less risk and cost-effectively The ability to retrain generative AI for specific tasks is key to making it practical for business applications. The possibilities are endless, but so are the pitfalls.

Risk 132
article thumbnail

How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 77
Insiders

Sign Up for our Newsletter

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

article thumbnail

What is GRC? The rising importance of governance, risk, and compliance

CIO Business Intelligence

The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Best practices, framework and technology have been developed to support this work. GRC is overarching.

Risk 115
article thumbnail

Optimizing the Value of AI Solutions for the Public Sector

Cloudera

There, I met with IT leaders across multiple lines of business and agencies in the US Federal government focused on optimizing the value of AI in the public sector. As also expected, most had experimented on their own with large language models (LLM) and image generators. Our government leaders had several suggestions: Start small.

article thumbnail

LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

article thumbnail

Optimizing IT resources through infrastructure, people, and processes

CIO Business Intelligence

When respondents were asked what modernization imperatives are causing them to lose sleep at night, the need to improve overall IT performance (60%) topped the list, followed by data security (50%), process risk and compliance (46%), and the need to improve agility (41%). Learn more about how companies can optimize their IT.

article thumbnail

Cyber Risk, Digital Risk and The Digitalization of Risk Management

John Wheeler

However, for security and risk management professionals it can make a huge difference. Take for example the terms cyber risk, digital risk and the digitalization of risk management. Viewed together, the three terms represent key aspects of integrated risk management (IRM). For Shakespeare’s Juliet, not much.