Organizations that benefit the most from artificial intelligence (AI) projects are more likely to believe in cognitive capabilities. Winning end users of AI-enabled capabilities is just as crucial, if not more so, than conquering AI-enabled capabilities themselves.
CIOs and other IT leaders who want to scale their AI programs need to get support across the organization.
According to the Market Research Report 2020 According to 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 almost tenfold in just eight years, with a Compound Annual Growth Rate (CAGR) 33.2 percent.
Here are some steps IT leaders can take to gain buy-in and endorsement from senior executives and line-of-business colleagues:
Engaging Executives in Aligning AI with Digital Transformation Plan
Senior executives must contribute significantly to the success of the project. Executives should collaborate with their AI teams to verify that the input and output of the AI system are consistent with the company’s overall digital transformation strategy. Collaborative strategy sessions with AI researchers and executives can help raise awareness of AI initiatives and keep AI R&D efforts focused on business goals.
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Other advisory councils should be formed
Connecting and organizing advisory councils with your organization’s partners, vendors, and employees is critical 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 must understand that while IT can help with AI-enabled innovation, it must be a collaborative effort. Organizations must remember to foster applied interest before deciding their next course of action.
Customize the benefits
IT leaders and managers must illustrate how AI will help employees to drive user adoption within a company. Present high-quality data that demonstrates how to improve business operations. Encourage usage by presenting a successful use case with top management support and clearly recognizable statistics. IT executives and managers must adequately communicate to team members why artificial intelligence is useful 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 with the skills and experience necessary to work with artificial intelligence systems can pay off.
Addressing the problem of job loss
Many functional leaders fear losing their jobs or becoming obsolete, which is one of the barriers to AI adoption. Line managers who do not fully understand the potential of artificial intelligence and machine learning will be overwhelmed and defensive about the human aspects of their employment if it is positioned simply as a technical upgrade or cost saving advance. .
By highlighting that AI allows teams to focus on the actions they need to take based on the insights generated by AI and ML solutions rather than spending time looking for patterns in the data, it becomes clear that AI does not It eliminates the need for human decision making, but rather facilitates a more effective and efficient path to accurate results.
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Increase confidence in AI
Business leaders may be reluctant to take the results of artificial intelligence or machine learning models seriously. Changing corporate attitudes requires instilling confidence by engaging with business leaders to demystify AI solutions, how they work, and how results are generated.
When business leaders recognize the value of the results provided by AI solutions, they are more likely to discover disruptive insights and are willing to use them to drive desired business goals and have great influence throughout the organization.