Just read this excellent article from Harvard Business Review on being #dataready for #GenAI.
Strategic takeaways 👇
🎯 Generative AI models rely on high-quality data to function effectively. Uncleaned or inaccurate data leads to poor quality outputs. Garbage in will get garbage out so establishing a clean starting point for data will yield tangible insights.
❓ Most companies lack a proper data strategy for GenAI. Investing in curation, integration, and cleaning data is crucial to unlock GenAI's potential. Are you looking at all data just because it's available or are you looking at critical data points to give focused responses?
🔎 Given the workload around preparing data for GenAI adoption organizations should prioritize specific business domains (i.e. Customer Operations, Sales, R&D, etc.). It's easy to want to solve every problem in your organization through the magic of GenAI but don't the ocean. Start with a pot of water and be amazed at what you can cook!
At Terzo, we help our partners by not only providing cutting-edge AI data solutions but also by supporting them in their data readiness journey. For example, we recently helped a Fortune 500 client break down data silos within their global Legal function, allowing them to increase visibility and accessibility over thousands of contract records.
Many companies are grappling with the concept of "Do More with Less." Leveraging GenAI against accurate and relevant data isn't about replacing headcount, but about amplifying human potential by automating repetitive tasks. This allows your team to focus on higher-level strategic initiatives.
What is your organization doing to be data ready for GenAI?
#datafoundations #GenAI #enterpriseAI
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