Strategies Driving Adoption of Artificial Intelligence – Analytics Insight

  • Lauren
  • April 17, 2021
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AI (Artificial Intelligence) has been around for a while now. AI is gradually becoming a part of our daily lives, from fast recommendations on search engines and auto-focus in smartphones to robot attendants at office buildings and so on. AI has a lot of room for creativity and growth, and it will proceed to change the world in a variety of ways in the future.
Many businesses are turning to artificial intelligence (AI) technology to reduce expenses, boost productivity, increase sales, and maximize customer support.
Businesses should consider incorporating the full adoption of smart technologies into their operations and goods for the best results, such as machine learning, natural language processing, and more. Also businesses that are new to AI will gain significant benefits.
While businesses agree on the applications of AI, there are significant differences in how they implement the technology. IT automation, intelligent mission automation, automated security technologies and assessment, supply and distribution, robotic customer service staff, and advanced human resources are only a few of the most common use cases.
Smart Energy reveals – the need to boost customer experience, employee efficiency and to accelerate innovation are the three main factors driving an increase in AI adoption. More than 50% of surveyed 2,056 IT and line of business (LoB) decision-makers and influencers say that customer experience is their leading driver for AI adoption. More than half of the survey participants also indicated that there is a direct correlation between AI adoption and superior business outcomes.

Strategies Driving Adoption of Artificial Intelligence

Understanding AI
The first step is to broaden people’s understanding of AI terms and functionality. A solid understanding of the AI model and its use applications will aid management in recognizing potential applications and execution processes that will provide significant business value. It’s also crucial to understand what you can’t do with AI.

Make a List of Specific, Measurable Objectives
Setting simple and measurable business targets in all AI projects is unquestionably important because it addresses the key question of what you’d like from AI. Every engagement should be structured around meaningful business benefits that must be implemented within a specified time period.

Current Business Issues Should Be Recognized and Analyzed
Leaders will need to prioritize the company’s business use cases, such as improving service quality or enabling product development, automating labor-intensive activities or increasing employee/workplace efficiency, and so on. Applications and activities should be done to address a business issue rather than to use AI. The majority of executives are also unable to understand market challenges that AI might be able to fix. Even if they recognize the importance of AI, they must find out how it functions and how it helps the business.

Usage Monitoring and Measurement
The secret to successful AI adoption is to keep close tabs on the state of the AI setting in your business. Ascertain that the company understands how and when to track and evaluate after the solution has been implemented. Identifying use trends and error instances early in the system’s life cycle will help you optimize its use and adoption.

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Analytics Insight

Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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