How mid-market companies can capitalize on their AI advantage (www.techradar.com)

Mid-market companies are poised to leverage AI technology effectively but face significant challenges in moving beyond pilot projects, with 90% still in early stages or stalled. Their agility offers a competitive advantage over larger enterprises; however, many struggle with uncertainty regarding where to begin, which technologies to utilize, and how to ensure impactful investments. It's evident that a lack of specialized skillsets, poor data quality, and inadequate governance frameworks hinder their progress. To overcome these barriers, mid-market firms must address three critical areas: building expertise across various dimensions of AI deployment, establishing robust data and technology foundations, and implementing effective governance practices. By recognizing and rectifying skills gaps, ensuring data readiness, and reinforcing ethical and security measures, these companies can enhance their AI capabilities. This foundational work can occur alongside AI tool deployments to ensure that mid-market businesses capitalize on their unique position, ultimately transforming their experimental projects into successful, full-scale AI implementations that deliver measurable value.