Remove understanding-artificial-intelligence-marketing-approaches-and-techniques
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Understanding Artificial Intelligence Marketing: Approaches and Techniques

Dataversity

What Is Artificial Intelligence Marketing? In marketing, artificial intelligence (AI) is the process of using data models, mathematics, and algorithms to generate insights that marketers can use. AI also […].

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The case for predictive AI

CIO

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. Yes, GenAI and Predictive AI are both forms of artificial intelligence, but they have fundamental key differences that businesses must consider. But it shouldn’t. What’s the difference?

Algorithm 860
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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

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A history of tech adaptation for today’s changing business needs

CIO

Ipsos, for example, has been offering its more than 5,000 clients an understanding and vision of the actions, opinions, and motivations of millions of citizens, consumers, patients, and employees in order to help them confidently navigate a world in rapid transformation. “The

Business 747
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Artificial Intelligence in Cybersecurity: Good or Evil?

CIO

Generative AI has taken the world seemingly by storm, impacting everything from software development, to marketing, to conversations with my kids at the dinner table. As I reflect on the biggest technology innovations during my career―the Internet, smartphones, social media―a new breakthrough deserves a spot on that list.

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Generative AI: A paradigm shift in enterprise and startup opportunities

CIO

Generative AI (Artificial Intelligence) and its underlying foundation models represent a paradigm shift in innovation, significantly impacting enterprises exploring AI applications. Still, the reality is that these new architectures are built on approaches that have evolved over the past few decades.

Startups 325
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Is it worth measuring software developer productivity? CIOs weigh in

CIO

This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Therefore, engineering leadership should measure software developer productivity, says Mann, but also understand how to do so effectively and be wary of pitfalls.

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