Looking for ways to kickstart your artificial intelligence (AI) initiative?

You’re not alone. While there’s little doubt that AI will have a massive impact on businesses in the future, the road to get there is a little less certain. Depending what you read, the number of companies that have actually deployed artificial intelligence — either in an offering or to improve a process — is somewhere between one and 10 percent.

In fact, according A CIO’s Guide to AI from Gartner, the numbers around adoption from a global survey of CIOs look like this:

  • 4% of respondents had deployed AI
  • 37% of organizations are still looking to define their AI strategies
  • 35% are struggling to identify suitable use cases

The good news: One-fifth of the CIOs surveyed had AI pilots underway or planned to launch pilots in the short term. The Gartner guide provides great insight not just for CIOs, but any Executive embarking on or supporting AI initiatives at their companies, including how to develop an appropriate AI business strategy and identifying ‘safe’ ways to experiment with AI use cases. See the Gartner guide here.

Whether you’re already on the road to data discovery at your company or ready to get started, there’s little time to waste. Here are are some tips to help get you past some of the most common roadblocks to AI adoption, which include using the wrong people for the job, setting unrealistic expectations, and placing too much emphasis on making money.

Take a look:

  1. Hire a Specialist — Don’t go it alone! Knowing the AI domain is critical for success. Hire experts, including a data scientist, to ensure that you have the right experts with the right experience to get the job done.
  2. Open Centers of Excellence — Setting up teams and operations dedicated to AI development speeds the adoption curve and helps you extract value quicker. Leverage existing partners to broaden your efforts that help you more quickly scale and better manage the lifecycle of models and deployed algorithms.
  3. Partner with External Collaborators — Another option to create a ‘think tank’ to assist your AI efforts is to partner with Universities, existing organizations dedicated to the advancement of AI, or even start-ups. This “lower-cost” approach can put you in touch with key collaborators almost instantly.
  4. Cross-Pollinate — As AI use cases go into production, it’s important to share the news across your organization. The more people that get exposed to AI successes, the more they’ll be able to visualize how it can impact their own role and day-to-day tasks.
  5. Sell Your AI Mission — Making the case for AI in your business starts at the top, and requires continuous and open communication with your people. By articulating a clear vision and demonstrating how AI makes people’s jobs better and more efficient, you can increase adoption and help overcome any fears within the organization.

In the end, success with AI will come down to people’s willingness to embrace new ways of working, new skill sets and new mindsets.