Insights

Part 3 of 4:

As AI adoption accelerates among small and mid-sized businesses, the focus often centers on capabilities and benefits. However, equally important—yet frequently overlooked—are the significant risks associated with AI training data. From compliance violations to bias perpetuation, the data you use to train AI systems can introduce substantial business, legal, and reputational risks.

Part 1 of 4:

In today's rapidly evolving technological landscape, AI has moved from buzzword to business necessity. But for small and mid-sized businesses, the path to AI implementation isn't always clear. While enterprise organizations deploy dedicated data science teams and custom solutions, SMBs need more accessible approaches. This is where AI augmentation shines – offering targeted AI capabilities that enhance existing systems and workflows rather than replacing them wholesale.