AI adoption is greatest in industries with a strong digital adopters. This article will discuss AI adoption by businesses and how to sell AI to them more effectively. In light of the undeniable impact of AI in the present day, how shall we initiate this? Should we discuss algorithms, training data, supervised/unsupervised learning, and deep learning neural networks with the executive team? Observe as their eyes glaze over. Not that business leaders are unaware of artificial intelligence.
More than 54% of organizations see benefits from using AI to automate IT, 53% see network performance improvements, and 48% see enhanced client experiences. It takes a manageable amount of empathy, finesse, and business acumen to sell AI in a novel manner. The graphs below depict the AI adoption rate classification by industry (high AI, medium AI, and low AI).
Seven Methods for Selling Artificial Intelligence to Companies
Below are seven ways in which business hubs can adopt AI to improve their operations.
Identify the problem before employing technology.
establishing precise criteria by which skeptics can compare and evaluate results. If the issue has been correctly identified, AI can be used as a remedy. The greatest impediment to the development of artificial intelligence is the reliance on unscientific assumptions and broad goals rather than taking the time to articulate the primary problem they are attempting to address. Simply put, the greater the likelihood that an AI product will be adopted, the more time a business spends on a problem in advance.
Developing Reasonable Benchmarks
Realistic near-term objectives and expectations of AI achievements can be a powerful aid, but technological algorithms still have a long way to go. Leaders must sell AI in a manner that simplifies employees’ work and enables them to focus more intently in order to become more engaged and productive.
Don’t Attempt To Construct Everything Yourself
Although AI is viewed as a labor-saving technology, the skills gap remains the greatest barrier to AI adoption. If the company decides to develop its own algorithms, it will not be able to justify its financial numbers until it incorporates these algorithms into its core business strategy.
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Strategic Thinking
This is a common misconception among businesses that adopt AI all at once and desire immediate success for their projects; otherwise, they believe their investment has been wasted. Accepting the fact that AI is a living, breathing instrument is the only way to ensure the entity’s long-term success. Adoption of AI is a significant step for any business, so to begin, focus on AI applications to a handful of strategic problems, of which only a few may work as expected immediately, and then learn from your mistakes.
Reevaluate procedures
One of the most common errors is attempting to integrate AI into an existing process that is based on manual work mode decision-making. In this instance, AI ends up being a checkmark. Adapt the processes to the contemporary world. Similarly, we do not purchase an e-book on a device to print and read it.
Data Transparency
AI realises its full potential when it produces transparent results. Consider that AI has been utilized for many years to assist in the classification of invoice lines from company purchases in order to accurately determine where the budget is spent. Among a few methods is a black box, whereby clients will invariably discover an error among the millions of classified lines. In such situations, they typically lose trust. This can be addressed by establishing a solid data foundation and leveraging master data management solutions and platforms with unified data for specific functions, suppliers, and customers, but these solutions and platforms are not widely implemented at present.
Engaging Employees at All Levels.
Several essential steps must be taken with the assistance of AI to effectively resolve and eradicate an issue. Co-creation with end users is essential for problem framing, ongoing acceptance, and AI partners working on improvements. Businesses must co-create with end users in a comprehensive manner. AI must address a new development or challenge virtually every day due to the market’s constant evolution. In lieu of viewing AI as a one-time plug-and-play solution, the only way to ensure a company’s long-term success is to recognize that it is a living, breathing tool that requires continuous adjustment.
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