Integrating data science initiatives in business strategy for small businesses

Machine learning and artificial intelligence are becoming mainstays of the enterprise business world, but many entrepreneurs and small-business owners still shy away from investing in it. You might not think that small businesses need to use AI in the same way that large companies do, but that is a fallacy. AI can contribute to many facets of business success including data sorting, email marketing, and much more.

In small companies, people think there is not enough data volume for AI applications and automatically dismiss it. Stop! AI can still be applied. The core thing is to integrate AI in a cohesive plan outlining the processes for collecting, processing, governing, and eliciting value from data, optimized for ML and data science.

This hold true for small companies as well. How we frame our approach to AI initiatives will determine its success. Don't worry, I am not a zealot. I will not tell you AI and ML are the cure-all and will solve all your problems. Some tasks are particularly well suited to these techniques, but not all. What I love about them is the fact that they allow us to tackle difficult problems that might otherwise be too daunting.