Generative AI (GenAI) is promising to reshape how we work and innovate. Yet, many organisations hesitate, wondering, “Is our data perfect enough?” However, perfection often isn’t the prerequisite you think it is.
Category: AI Adoption
Revolutionise Your Presentations: How Microsoft Copilot in PowerPoint Saves You Hours
We’ve all been there, staring at a blank PowerPoint, knowing the information is in a document somewhere, and dreading the hours it’ll take to transform it into a compelling presentation. This is where Microsoft Copilot in PowerPoint can help save you hours of time. (At the moment it’s my most heavily used feature in the M365 Copilot suite.)
GenAI Procurement: Why It’s Not Business as Usual
Buying a Generative AI solution, whether it is a discrete or embedded GenAI solution, isn’t like buying a CRM or ERP system. It’s a whole new ballgame, one where you can’t always see the rules, and the players (the models) can sometimes make up their own. GenAI procurement requires a fresh playbook. Let’s break down what’s changing, why it matters, and how you can stay ahead.
Why Design is About to Change: GenAI and the Future of App Development
A number of threads are converging:
Coding assistants like GitHub Copilot, Codeium, Cursor, and Replit Ghostwriter are integrated directly into IDEs – or in some cases, are the IDEs.
Autonomous agents or agent environments that can generate and execute code, like Microsoft Magentic-One or Langflow .
Application generation environments like Replit takes this even further, generating full applications from natural language prompts and deploying them with just a few clicks.
Navigating the Future: The Importance of a Generative AI Roadmap for Your Organisation
Following on from last weeks article on GenAI readiness assessments, to harness its full potential, organisations must adopt a strategic approach. Developing a Generative AI Roadmap is crucial to guide this journey effectively, no only for the GenAI solutions but the development of the systems and processes around GenAI to ensure it’s long term support.
Unlocking the Power of Generative AI: Why Your Organisation Needs a Maturity and Readiness Assessment
Generative AI (GenAI) is revolutionising industries by automating content creation, enhancing decision-making, and sparking innovation. But before jumping in, it’s essential to pause and do the groundwork. In today’s fast-moving, hype-driven tech landscape, that can feel a bit old-school, but understanding your organisation’s readiness isn’t just prudent, it’s foundational. A GenAI Maturity and Readiness Assessment is a crucial step to ensure that the excitement of innovation is backed by the stability of preparation.
Navigating AI Adoption on Azure: A Practical Framework to Get Started
I couldn’t believe the timing this week. As I’m working through the course material for the Microsoft AI Engineer exam a post dropped from Rajani Janaki Ram with a Framework on Adopting AI on Azure – brilliant! I thought I’d review the framework this week and what it means.
How AWS, IBM, Google, and Microsoft Are Shaping the Future of Business (AIaaS)
After completing certifications in the various platforms from IBM, Amazon Web Services (AWS), Microsoft and Google I wanted to take a high level look at what these platforms really mean for organisations. These organisations are offering powerful AI platforms that provide a way to access AI functionality without having to develop and run your own infrastructure and manage your own AI deployments.
Elevating Software Development with AI Companions: My Game-Changing Experience with Codeium
I needed a small utility to search using the Google custom search API and then submit the results to ChatGPT’s API for summarising; I leveraged the power of the AI coding companion, Codeium for the first time (in VSCode and Python). This combination truly improved my development experience, making it a lot more efficient and enjoyable, auto-completing code, generating explanations and providing in code documentation. Digging a little deeper …
AI’s Role in Reducing Risk in the SDLC (e.g. CrowdStrike)
In the wake of the recent CrowdStrike incident it’s easy to become an armchair critic. For those with experience in IT, isn’t it likely that such issues are multi-dimensional, spanning technical, managerial, cultural, and even simple human errors?