2021.AI

Are you aware of all the AI used in your organization? 🤖

If not, it’s risky business.

Shadow AI is emerging as a major challenge in enterprise technology. As companies embrace AI, many unauthorized tools are being implemented and used, creating significant risks. 🔒

While easy access to AI tools encourages employees to take initiative and use AI, it might also expose organizations to vulnerabilities that demand immediate attention.

The main risk factors:
• Security breaches
• Compliance violations
• Potential reputational damage from uncontrolled AI use

We help organizations bring AI out of the shadows and establish effective governance - never stifling innovation but fostering it responsibly. Reach out to learn how 💡

Stuck in the famous POC loop? 🤯

Many companies get stuck with Proof of Concepts, running experiment after experiment without ever scaling AI solutions for real business impact.

So, how do you move beyond the testing phase and create tangible value? 🤔
In our recent webinar, Dr. Björn Preuß, Ph.D. and Bjarke Arreskov-Hansen shared key strategies to transition from experimentation to ex*****on:

✅ Define a clear purpose
✅ Shift from “lab” to “factory” mindset
✅ Address risks and compliance early

Want to ensure your AI moves beyond POC and creates real business value? Dr. Björn Preuß, Ph.D. gives you the details in his latest blog!

Enjoy the read 👉https://hubs.ly/Q03g4sgR0

Locally-hosted LLMs: What to consider 🤔

From performance and hardware constraints to governance concerns, choosing the right model isn't just about size — it's about fit.

In our latest blog, we help you cut through the noise with a practical step-by-step guide:

✅ Overview of top open-source models and their strengths
✅ Why self-hosting matters for compliance & control
✅ Understanding the relevant GPU specifications
✅ Trade-offs: parameters, context size, quantization & efficiency

Balance the trade-offs and make the right choice for your AI implementation.

Dive into Guilherme Costa’s and Julian Róin Skovhus’s practical guide now 👉 https://hubs.ly/Q03g4r5K0

How important is Responsible AI for your business? 💡

In our past EU AI Act webinar, we explored the critical intersection of Responsible AI, the EU AI Act and business success. Here's a glimpse into what the audience, representing a diverse range of industries, had to say:

📑 Importance of Responsible AI:

▶ Nearly half (46%) view Responsible AI as a license to operate, essential for continued business success
▶ 15% see it as a customer requirement
▶ 21% prioritize compliance, while 18% are unsure of its importance

📊 We also asked the participants what they found to be their biggest governance challenge:

▶ Data governance emerged as the biggest challenge for 53% of respondents
▶ Privacy & GDPR came in at 24%
▶ Security & Cyber concerns followed at 15%
▶ Incident/problem management and quality management were significantly lower concerns at 6% and 3%, respectively

The conversation around Responsible AI is gaining momentum, and for good reason. While data governance remains a top challenge, we're committed to helping organizations navigate the complexities of AI implementation 💫

How can Large Language Models Revolutionize Knowledge Management? 🔍

AI is transforming how businesses manage and utilize knowledge with Large Language Models (LLMs) at the forefront. These models optimise enterprise knowledge systems, creating a more informed and productive workforce:

An LLM tailored for knowledge management can:

✅ Streamline onboarding
✅ Capture valuable tacit knowledge from experienced employees - and ensure efficient knowledge sharing across the entire company
✅ Tackle information overload, provide precise answers to queries and improve knowledge sharing processes

Read more about how LLMs can revolutionize knowledge management in your company in our latest blog post 👉

Revolutionizing knowledge management with responsible AI: The power of Large Language Models Large Language Models offer a revolutionary approach to knowledge management, empowered by AI...