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We all know there’s power and potential in AI, but how much impact could it really have on your business? AI could boost productivity as much as 70% in most cases.
With all that growth potential, it’s not surprising that many people want to tap into AI’s power, even if means bypassing their IT organization’s guidelines by using “Bring Your Own AI” (BYOAI)—unsanctioned AI applications. The good news is that your IT organization can rise to the challenge of BYOAI and the other complications that may come with AI adoption, including sustainability concerns, runaway costs, legal risks, visibility issues and more.

The full spectrum of AI’s potential costs (financial, societal, environmental)
Striking the balance between innovation and responsible use
Tangible steps for effective AI and SaaS governance
Chart: 4 Steps Methodology

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Frequently Asked Questions

What are the benefits of AI in business?

AI enhances business efficiency by automating tasks, improving decision-making, and providing insights through data analysis. It helps companies reduce costs and increase productivity, leading to better customer experiences and competitive advantages.

How can AI improve customer service?

AI can improve customer service by utilizing chatbots for instant responses, analyzing customer data to personalize interactions, and predicting customer needs through machine learning. This leads to faster resolutions and higher satisfaction rates, ultimately fostering loyalty.

What industries benefit most from AI?

Industries like healthcare, finance, retail, and manufacturing benefit significantly from AI applications.

Is AI expensive to implement?

While initial costs for AI implementation can be high, the long-term savings and efficiency gains often outweigh these expenses, making it a worthwhile investment for many businesses.

What skills are needed to work in AI?

To work in AI, individuals typically need skills in programming languages like Python, knowledge of machine learning algorithms, data analysis capabilities, and a strong understanding of statistics. Additionally, problem-solving skills and domain expertise are highly valuable.

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