『AI Business Essentials』のカバーアート

AI Business Essentials

The Step-by-Step Guide to Automating Processes, Increasing Efficiency, Reducing Costs, and Maximizing Profits (Without Coding) in 30 Days or Less

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AI Business Essentials

著者: Lisa Whall
ナレーター: Miles Carter
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Your profit margins could be 30% bigger than they are right now… All you need is one simple tool. Read on!

Did you know that in 2023, companies that used AI benefited from an average 30% profit increase?

The number of businesses using AI is ever-increasing, and with results like this, it’s little wonder. But the profit increase is just the icing on the cake.

AI offers long-established companies and small startups alike a huge range of advantages. It automates processes, increases efficiency, and reduces costs—all of which not only increase profit margins but also make for a productive and streamlined business structure.

You might wonder if your business really needs AI, so let’s turn this on its head. What’s the cost of not integrating AI into your practices?

Here’s the answer:

You’re going to be fighting inefficiencies and battling with rising costs while your competitors are spending less… and this is going to make scaling your business nearly impossible.

But if you have AI on your side, you’ll be able to automate mundane tasks, tailor your approach to suit your customers, and interpret (and act on) key data in a fraction of the time it’s going to take you to do it the old-fashioned way.

Best of all, you don’t need any coding experience to bring the power of AI into your business.

It’s much more straightforward than most people fear, and with this comprehensive guide by your side, you’ll be able to make a huge difference to your business—in less than 30 days!

You’ll discover:

•The key concepts and terminology you need to know to make AI easy to understand

•All your fears about AI put to rest—find out how the scare stories are wrong

•How to budget for AI so that it’s always an asset and never a drain on your accounts

•Your 30-day roadmap to AI success (broken down into clear, actionable phases)

©2024 Lisa Whall (P)2025 Lisa Whall
コンピュータサイエンス ソフトウェア開発 プログラミング プログラミング・ソフトウェア開発 機械理論・人工知能

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