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The Current State of AI in Marketing 2024

Unite.AI

The use of AI in marketing has changed how businesses communicate with clients. It provides personalized client experiences and can automate repetitive tasks. According to a McKinsey study , around 75% of the value AI use cases could deliver falls across four areas, and marketing is one of these. billion by 2032.

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Powerful AI Tools Can Change Your Small And Medium Business Growth

Towards AI

Why AI Matters AI is becoming a general-purpose technology: Many everyday tools already utilize AI, and its presence will continue to grow. Improved efficiency and competitiveness: AI can automate tasks, analyze data for valuable insights, enhance customer experiences, and ultimately boost your bottom line.

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What is An AI Strategy and Why Every Business Needs One

Kavita Ganesan

This article discusses what an AI strategy means, the different types of AI strategies that you should know about, and how as a leader you can get started with an AI strategy. Table Of Contents What Is An AI strategy? Why Do Businesses Need an AI Strategy?

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Media Buying Briefing: How ChatGPT and creators will transform media agency AI strategies

Flipboard

Stagwell agencies have been using broader AI functions across the company and creating open-source tools in the tech community. AI is a complementary element to our existing strategy driving incremental growth,” Ben said. Wren added on the call the holdco is “embracing [AI] as quickly as we possibly can.”

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AI News Weekly - Issue #342: $1 billion gamble to ensure AI doesn’t destroy humanity - Jul 20th 2023

AI Weekly

In the News Top 10 AI Tools Cooler Than ChatGPT For our list of AI tools cooler than ChatGPT, we conducted extensive research and considered various factors such as performance, versatility, innovation, user-friendliness, integration, and industry impact. dataversity.net Is AI advancing too quickly?

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Data is essential: Building an effective generative AI marketing strategy

IBM Journey to AI blog

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. With the right generative AI strategy, marketers can mitigate these concerns.

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Balancing AI: Do good and avoid harm

IBM Journey to AI blog

Challenges and solutions in adopting AI ethics within organizations Although AI adoption and use cases continue to expand, organizations may not be fully prepared for the many considerations and consequences of adopting AI capabilities into their processes and systems.