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Digital transformation

 
2024-09-23

AI Ready Model - Use case roll-out

After having tested your AI technology and verified your assumptions through a Proof of Concept (PoC), it is time to advance to the "Use Case Roll-Out" phase. This step is often overlooked in tech-driven projects. After validation and gaining organisational acceptance, tech teams often jump to the next challenge, neglecting to establish frameworks for maintenance and change management.
Written by Fredrik Svensson
2024-09-16

AI Ready Model – Proof of Concept

After increasing AI knowledge within your team/organisation, choose potential use cases for a Proof of Concept (PoC) to test AI implementation. Prioritise impactful cases with defined success criteria, including technical, training, security aspects, and business KPIs. Successful PoCs can be turned into production environments to showcase real value and potential business gains.
Written by Fredrik Svensson
2024-08-30

AI Ready Model – Insights

With many AI use cases available, prioritising and starting implementation can be challenging. The variety of cloud-based models may require sharing data, posing concerns for some organisations. Careful consideration of technology, models, and legal implications like GDPR is essential before diving into AI implementation.
Written by Fredrik Svensson
2024-08-28

Are you AI Ready?

With the era of AI now upon us, numerous organisations are grappling with how to fully leverage its advantages. Introducing our latest innovation, the Redpill Linpro AI Ready Model, designed to tackle this very obstacle.
Written by Fredrik Svensson
2024-08-26

Become an effective Product Owner 4 - communicate and collaborate with stakeholders

In the previous sections, I provided a brief introduction to the role of a Product Owner (PO) and described the typical responsibilities and areas of accountability. I also discussed how to manage user needs and requirements. In the previous article, I delved into effective management of the product backlog. Now, I would like to further explore how you, as a PO, can improve your communication and collaboration with stakeholders.

Written by André Johansen
2024-08-23

AI Ready Model – Labs

AI is a young technology with limited implementation knowledge. Setting up an AI lab allows for testing various models and techniques, understanding data implications, and addressing challenges like model training and accuracy. The lab helps increase organisational knowledge on AI and focus resources effectively.
Written by Fredrik Svensson
2024-08-08

Become an effective Product Owner 6 - measuring and optimizing

Initially, I provided a brief introduction to the role of a Product Owner (PO) and described the typical tasks and areas of responsibility involved. Then I delved into how you can handle user needs and requirements, followed by some concrete tips on how to effectively manage the product backlog. After that, I discussed how you, as a PO, can improve communication and collaboration with various stakeholders. I also talked about streamlining ongoing work and listed some tips that you can utilize. Now, I would like to focus on how you, as a PO, can measure the team's performance and optimize product development.

Written by André Johansen
2024-08-07

Using software based on open source code - Tools and methods

In our first article, we talked a bit about the emergence of OSS (Open Source Software) and why it looks the way it does. Then, we delved into some pros and cons of using software built on open source code. After that, we discussed some tips and tricks on how you and your company can build a stable organization that can assess various OSS initiatives and connect them to the company's business processes. In this article, we'd like to delve a bit more into the methods and tools you can use to facilitate work with OSS.

Written by André Johansen