This yearly event showcases the new advancements in both Microsoft’s low/no code application space–Power Platform, and the Dynamics 365 platform.
There were several announcements this year which I believe will be game changers for users and creators of Power Platform solutions.
A very exciting announcement, which had a flurry of twitter activity, was the public preview release of Power BI Goals. This solution will allow organisations to create AI and data-driven scorecards and present them natively in Microsoft Teams. You will need a Power BI Premium license, and from what I have seen so far will be well worth it.
A fantastic new feature is the ability to now publish Canvas app pages within your Model-driven app interfaces. This will create very rich and visually appealing user interfaces. In addition, model-driven apps are getting a new forms creation tools which starts from the data rather than from blank.
Coming in October 2021 will be a merged authoring experience for Power Apps Canvas Apps combing both the current Teams and Web authoring experiences. This time next year, April 2022, we will also see a new Power Apps Studio which proposes to combine both the Canvas and Model-driven app creation experiences into a single authoring environment.
Canvas apps developed in Microsoft Teams can now be shared with your colleagues across the organisation. The no longer need to be a member of the team where the application was created.
The five existing application templates; Milestones, Bulletins, Issue Reporting, Employee Ideas, and Inspections are being expanded with Profile+ coming in April, Boards and Discussions coming in May and two others coming in June. These templates make it quick to deploy and implement solutions for businesses which can be customised to meet specific requirements.
I am looking forward to all these new capabilities landing in the platform and many more as the platform grows and matures.
At Kiandra, we work closely with Product Owners to bridge the gap between their organisation’s needs and our delivery team’s technical expertise. This collaboration is crucial for keeping the project aligned to business goals, managing scope effectively, and ensuring value is delivered.
“How do we make sure our AI systems behave responsibly, not just accurately?” We get this question a lot. Usually after something has already gone a bit sideways. Here is the short answer: You build responsibility into AI from the very beginning. Guided by our B-Corp principles, we see responsible AI as a balance of purpose and effectiveness.
When working with clients in the earliest stages of a project, speed matters. The faster we can turn ideas into something visual, the sooner we can test assumptions, get feedback, and align on a direction. That’s where product ideation tools like Lovable come in.
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