AI Workshop Roundup: Debunking Myths and Unlocking Practical Uses
Missed our recent webinar on AI in business? Here’s a quick rundown of key insights you don’t want to miss. If you’re ready to move beyond the AI hype and discover how it can truly elevate your business, check out the recording for more depth and actionable advice.
There’s no such thing as an ‘AI Strategy’.
AI is not the goal, it’s simply the tool that can improve your business. Our workshop cuts through the notion of ‘AI for AI’s sake’ and focuses on the real, everyday benefits AI can bring.
Debunking Common Myths About AI in Business:
- Myth #1: AI is too complicated – Many businesses hesitate to explore AI, assuming it’s too technical, expensive, or resource-intensive. In reality, AI solutions are increasingly accessible and manageable—even for small teams.
- Myth #2: AI is overhyped – While AI’s potential is immense, success lies in identifying practical use cases instead of jumping on the latest AI trend. Our speakers shared how to focus on AI that delivers real ROI, not just novelty.
- Myth #3: AI doesn’t work as expected – AI outcomes depend heavily on data quality. Poor results are often due to issues with the data that powers the AI, not the technology itself.
The Real Game-Changer: AI-Ready Data:
AI is only as powerful as the data you provide. Building an AI-ready data layer ensures that the tools you deploy, such as Excel Co-pilot or ChatGPT, can function optimally.
Our team discussed four pillars for making data AI-ready: context, quality, performance, and supply. With these in place, AI can generate accurate, reliable, and actionable insights.
Three Steps to Get AI-Ready Data:
We share a simple three-step framework for achieving AI-ready data:
- Define the Business Challenge: Begin with a clear goal for AI, like improving customer retention or automating reporting.
- Identify Needed Data: Focus on the exact data needed to address your challenge.
- Establish Reliable Data Feeds: Ensure that data is consistently up-to-date and accessible.
Client Success Stories: AI in Action:
Three unique case studies demonstrated how different industries used AI-ready data to drive remarkable results:
- Retail: A large retailer cut decision-making time in half by automating daily reports with Excel Copilot, giving the team real-time insights.
- Insurance: An insurer reduced monthly data processing time from 45 minutes per file to just four minutes, enhancing their risk response speed.
- Real Estate: A real estate platform used AI to match users with ideal properties, resulting in a better user experience and competitive edge.
Expert Panel Insights:
Pat Drinan, CEO of HomeHak, and our Verodat experts dove into the practicalities of implementing AI, emphasising the importance of getting your data structure in place before scaling up AI applications.
Ready to see it all in action?
For those who couldn’t attend live, this was only a preview of what the session covered. Sign up for the full recording to get inspired by real-world examples, expert advice, and practical steps to make AI work for you.
