Basics to setting up an AI Transformation Program - High level

Overview: Many large organisations have started on their Artificial Intelligence (AI) journeys, many have started in weird directions and some are taking the wait and see approach.  As a general rule, I feel most organisations should try identify the most important use cases for AI and using a basic scoring system take the easy high values use cases first. 

A good option is to get a AI focused team to put the AI program into your business.  Get people seconded as they have key domain knowledge and couple with IT experts pref with strong AI skills.  

1. AI Idea Generation: Collate a detailed list of possible ideas.  I like to use SharePoint, it's a good idea to open ideas up to the business or make gamification of idea generation to get a good set of ideas.  You;ll get lots of overlap, distill into unique ideas, and get the team/stakeholders together.

2. Business Impact: how does this help our customers or generate revenue or does this improve our operations.  Can this be quantified?

3. Technological Feasibility: Can technology meet the requirement, and at what cost?  High level technical design is strongly advised as show below in figure 2.

4. Implement: If the idea holds up to Business impact, and is possible, select the highest value to lowest effort ideas.  It is a good idea to start with the simpler ideas to get the ball rolling.

Figure 2. HLD example

Note:  This post is looking at building AI to improve your business, AI also affects all internal staff, so train them.  Allow them to use AI tools like ChatGPT, and train them not to expose internal propitiatory information.  Give your users the correct tools to be the most effective.

An brief introduction with two demos on OpenAI

OpenAI has a couple of service such as ChatGPT, and DALL-E.  The recording below, shows two a demos: 

• ChatGPT to gain insight, and
•  DALL-E to generate some artwork.

https://youtu.be/TdGjp171wAk - 3min 48 seconds

There are other suppliers of large scale AI engines such as Googles PaLM 2.

Updated Dec 2023: 

I created an Azure Open AI Service instance.  Very easy to access using the API's and nice to play with.  There is also the playground, and I generated 8 images of a train emerging from a tunnel in eight different artistic styles.  The hardest part of AI and DALL-E is framing the Prompt/Question.

OpenAI Studio on Azure AI using the DALL-E playground.

Using the OpenAI PowerFx language helper leading into building a Tax chatbot using Power Apps (No model training)

I had some time today, and I've been hearing a lot about OpenAI/GPT-3, so I thought I'd have a look around and wow it's good.  There are so many uses and it's just easy to use.

For instance, Power Apps uses PowerFx which is a simple language that Microsoft had added the "Ideas" are to that helps you build PowerFx code.  Honestly I found it extremely irritating when it was released recently but after reading more on Open AI I to take a closer look and it definitely is a great idea.

Thoughts:  I don't memories code so I feel this is a great tool for citizen and professional developers.  I think it will get a lot of attention and improve over time and become a key part of PowerFX and app development.

More Info:

https://learn.microsoft.com/en-us/power-apps/maker/canvas-apps/power-apps-ideas

OpenAI - Took less than an hour to setup the demo

The Power Platform has a Premium Connector to use the OpenAI API's.  Robin Rosengrun has a demo and built and published a connector. 

I spent some time playing around with the OpenAI GPT-3 API using the "davinci-002" engine in a Power App connector.    

First search data result is correct

This is completely wrong, although HMRC have amended the go live date many times.  I was hoping for "6 April 2024"

The third question result is good - but could be better.