Organizations that profit the most from Artificial Intelligence (AI) projects are more likely to believe in cognitive capabilities. Winning over the end-users of AI-enabled capabilities is just as crucial, if not more, than winning over the AI-enabled capabilities themselves.
CIOs and other IT leaders who want to scale their AI programs need to win support across the organization.
According to the 2020 Market Research Report from Fortune Business Insights, artificial intelligence had a market value of US$27.23 billion in 2019 and by 2027 this figure is expected to increase nearly tenfold in just eight years, with a Compound Annual Growth Rate (CAGR) of 33.2 percent.
Here are a few steps IT leaders can take to gain buy-in and sponsorship from C-suite executives and line-of-business colleagues:
Involve executives in aligning AI with the digital transformation plan
Senior executives should contribute significantly to the success of the project. Executives should collaborate with their AI teams to verify that the AI system’s input and output are consistent with the company’s overall digital transformation strategy. Collaborative strategy sessions with executives and AI researchers can help raise awareness of Artificial Intelligence initiatives and keep AI research and development efforts focused on business objectives.
Other advisory councils should be formed
It’s critical to connect and organize advisory councils with the organization’s partners, suppliers, and employees when making changes like this to gather their ideas and perspectives on implementation. Businesses will be able to know where it is wanted and needed if they do so.
Businesses should understand that while IT can help with AI-enabled innovation, it has to be a collaborative effort. Organizations should remember to foster applied interest before deciding on their next course of action.
Personalize the advantages
IT leaders and managers need to illustrate how AI will help employees in order to boost user adoption within a business. Present high-quality data that demonstrates how to enhance business operations. Incentivize usage by presenting a successful use case with senior leadership support and plainly recognizable statistics. IT executives and managers should properly communicate to team members why Artificial Intelligence is helpful, and the positive impact it will have on productivity and efficiency on a daily and long-term basis.
Maintaining a people-centered mindset will go a long way. Retaining staff that have the required skills and expertise working with AI systems can pay off.
Address the issue of job loss
Many functional leaders are afraid of losing their jobs or becoming outdated, which is one of the barriers to AI adoption. Line managers who don’t completely understand the potential of AI and ML will be overwhelmed and become defensive about the human aspects of their employment if it’s positioned simply as a technical upgrade or cost-saving breakthrough.
Through spotlighting that AI enables teams to focus on the actions to take based on the insights generated by AI and ML solutions rather than spending time mining the data for patterns, it becomes apparent that AI does not eliminate the need for human decision-making, but rather facilitates a more effective and efficient path to accurate results.
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Boost AI trust
Business leaders could be reluctant to accept Artificial Intelligence or machine learning models’ outputs seriously. Changing the corporate attitude requires instilling trust by engaging with business leaders to demystify AI solutions, how they function, and how the outcomes are generated.
When business leaders recognize the value of the outcomes provided by AI solutions, they are more likely to unearth disruptive insights and be willing to use them to drive desired business goals and have a major influence across the organization.
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