In our recent webinar, Shawn Rogers, CEO of BARC US, shared key insights on practical AI adoption for businesses. Here are our highlights:
- AI isn't just ChatGPT. It's likely already in your business software. The first step is to recognise and leverage the existing capabilities.
- "It's all about the data." Investing in better data management practices will increase the success rate of any AI initiatives you're thinking about, to prevent 'garbage in, garbage out.'
- 80% of companies are still in early AI adoption stages. That means you can keep calm, and focus on getting the foundations right.
- Most organisations will use both public AI APIs and internal models, but be cautious with sensitive data when using public models.
- AI is making data analysis more accessible, automating mundane tasks, and enhancing business intelligence tools. That's a big shift towards increasing productivity.
- Start small, think big. Start with familiar data sources and clear business objectives. Learn from industry successes and build on quick wins.
Remember, successful AI adoption isn't about cutting-edge tech - it's about solving real business problems. Start with your data strategy, and the rest will follow.
Click on the thumbnail below to access the recording.
Next steps:
Data Quality
At Ometis, we lay the groundwork for successful AI adoption by optimising your data infrastructure.
We specialise in:
- Integrating data from diverse sources
- Embedding interactive dashboards for enhanced accessibility
- Crafting robust data governance policies
- Facilitating cloud migration for accelerated analytics
Qlik Answers
Qlik Answers is a new plug-and-play AI tool specifically designed for unstructured data. It uses advanced language processing to let you ask questions about your documents, emails, and other text-based sources in plain English.
Key features:
- Ask questions about your unstructured data in everyday language
- Get concise answers pulled from various document types
- Follow links back to original sources
This tool can help your team members find insights in unstructured data that traditional BI tools can't handle. It's easy to set up and start using, making unstructured data analysis accessible to non-technical users.
If you're interested in learning more about any of the above, reach out for an informal chat and advice:
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