In my experience, there are two serious mistakes that many business leaders make when they start thinking about digital transformation. Firstly, believing that it's a process that an organization begins, then goes through, and then comes out of the other side in a "digitally transformed" state. The second is that it's all about technology. In reality, digital transformation is an ongoing process that never truly ends. Businesses were just getting acclimatized to computers being an essential everyday tool since the 80s when the internet emerged in the nineties and forced them to rethink technology from the ground up.

Even with signs of a recession, hiring continues to be a top priority and challenge for several industries, including healthcare, hospitality, manufacturing, and transportation. There are approximately 11.4 million unfilled jobs in the US, according to recent reports from the US Bureau of Labor Statistics. With the current ratio of one qualified talent professional for every eight open roles, talent teams must find ways to be more efficient and effective. AI enables a quick, efficient hiring process. It also can be a powerful tool to uncover hidden hiring biases and drive change, prompting organizations to assess their historical hiring data and improve recruiting and hiring processes. Data scientists will tell you all data is biased because bias is about finding patterns in data.