It’s been an exciting couple of years with the latest advances in AI. Of course, we’ve only scratched the surface. And as GenAI capabilities continue to improve, it’s time to educate yourself about the next big thing: multimodal AI. This article explains what multimodal AI is and why you should care. It describes the challenges of combining specialized data types and the potential impact of multimodal data and models on better decision-making. Lastly, you will learn 8 practical steps you can take to start leveraging this transformative technology.
Key take-aways:
Blending voice, video, and text is challenging
Specialized data types may require new protocols, strategies, and data governance techniques
A wealth of data can provide rich decision-making
Ensure your data is ready for training while adhering to data privacy and regulatory requirements
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