Jan 7

If an organization focuses too heavily on process improvement or data products, it might be time to evolve. To ensure the ethical and practical use of artificial intelligence, the next step is using data to identify areas of improvement and prioritize which actions to take.

Business leaders must be capable of identifying problems within individual business units, testing solutions using evidence-based methods, and implementing them more broadly if they succeed.

Organizations must act consistently on these types of insights.

For many business leaders, discussions about whether to generate value from data descend into a debate about terminology — and too often, reach an impasse. And if specific initiatives are blocked, then it’s worth exploring what needs to happen to enable these opportunities.

According to a recent MIT research, though nearly 75% of senior executives believe that ethical guidelines for using AI are essential, only 6% of organizations have developed them. This is mainly because they don’t have enough AI projects, processes, or systems to gauge whether they’ve met their standards for AI ethics.

How do you use data to your advantage? What do you think?

Looking forward to your answers and comments.