Unreachable Data
Over 80% of the world’s data is unstructured and growing 30-60% per year according to Gartner. You, like many other organizations, have a business-critical need to extract information and insight from hard-to-reach data sources such as video, audio, images, and text. For example, AI can help you answer questions like:
- When does the face or object appear?
- When is a keyword said, and who is speaking?
- How does the customer feel?
Manually reviewing large volumes of this type of data is costly, inefficient, and simply unrealistic. AI is the answer, but it usually takes a significant time, money, and resource investment to build and deploy bespoke AI models with different vendor APIs. Furthermore, those projects that see the light of production frequently suffer from scalability challenges, model drift, and model changes or discontinuations.