There’s no mistaking that AI is here to change how we do things. You’d be forgiven for feeling that the pace of announcements of new models, services and apps is giving you whiplash. We’ve established an innovation group at Kiandra to test a variety of AI services to see how they can improve how we do things or offer more value to our clients. While overwhelming at times, we’re discovering value in all aspects of how we do our work.
In the past, I have quipped that my career was spearheaded due to above-average skills in PowerPoint, and until now, it has barely seen a contender to knock it off the podium of deck creation. Gamma has emerged as a quality opponent, but in my opinion, for advanced PowerPoint users, it’s not quite a full replacement. PowerPoint with Copilot and Designer now serves similar AI magic.
The trade-off with Gamma is that it's much easier to use and strips away the features that most people would rarely use in PowerPoint. We recently put it to the test with a presentation on the outcomes of some of our analysis with a client and created a presentation in 20 minutes. We estimated it would have taken around 2 hours to manually create a similar quality in PowerPoint.
By doing this you will see what benefits you can gain from Gamma and decide if it is time to make the switch. For me though, I am sticking with PowerPoint for now.
Travel businesses need systems that do the work with faster quotes, smarter pricing, and better traveller experiences. We’ve mapped the common travel challenges in the industry, and exactly how AI can solve them.
AI isn’t some futuristic toy we’re tinkering with on the side. It’s already woven into the way we get work done at Kiandra. Whether it's helping sift through mountains of invoices or modernising stubborn legacy code, we’re using AI to tackle the headaches that come with real-world software delivery.
In transport and logistics, most operators don’t need to be sold on the benefits of AI, they just need a clear path to making it work. This blog post outlines the most common challenges we see across logistics businesses, and how AI, when implemented correctly, can solve them and improve performance.
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