As enterprise AI adoption accelerates, how is your organization adapting its governance and risk oversight to keep pace?

Machine Learning (ML)Artificial Intelligence (AI)

Established AI governance framework with defined policies and oversight36%

Currently developing governance models and risk controls59%

Relying on existing security/compliance frameworks (no AI-specific policy)26%

No formal AI governance approach in place4%

96 PARTICIPANTS

858 views1 Upvote1 Comment

Sort by:

Chief Technology Officer in Healthcare and Biotech2 months ago

It's a must and the earlier the better.

Content you might like

What do you do when an existing vendor embeds AI into an implemented platform without prior warning?

point in time security assessments or security performance management that is more continuous / automated - which do you prefer ? Check out this paper by Ed Amoroso - retired ATT Chief Security Officer - founder of TAG Cyber
https://www.tag-cyber.com/analysis/white-papers/requirements-for-security-performance-management

I plan to rely on static annual external assessments of security to judge effectiveness71%

I plan to look at security performance management capabilities to assess continuously my security effectiveness28%

How are large professional services organisation deploying GPT4 (or similar LLMs) within their own organisation for internal use, particularly when using sensitive/confidential/PII data?

For example we're a UK based accountancy firm so have created our own internal app based on Microsoft's Open AI GPT4 model deployed to our private Azure hosting. We have built a custom app designed to "preprogramme" personas, i.e. pre-created prompts, for different areas of the profession, so internal users can have GPT4 act in different ways without prior knowledge of prompt engineering.

I would be interested to see how others are building or buying solutions, particularly those based in EU/UK who can't use OpenAI/ChatGPT for with customer/confidential information.

Read More Comments

Does anyone have a favorite alternative to Tableau? Why?

ThoughtSpot4%

Power BI (Microsoft)64%

SiSense8%

Looker (Google)8%

Qlik8%

MicroStrategy2%

Other3%

View Results

We are evaluating enterprise AI productivity tools that can be deployed on-premises or in a private cloud and offered to internal users for common daily tasks such as presentation generation, image/graphic creation, content drafting/editing, and summarization. Which vendors offer solutions in this space? Please share vendor names, deployment models, and any practical experience with these tools (strengths, limitations, integration, licensing).