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How artificial intelligence can transform influencer marketing

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Influencer marketing is the newest breakthrough to have shaken up the digital marketing landscape. Once an experimental channel, it has grown exponentially over the past few years – up to $6.5 billion in 2019. Now a mainstay of marketing organizations, the key success factor is figuring out how to get the most from it. Artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) are revolutionising the way brands conduct influencer marketing. AI-powered influencer marketing tech is helping brands in three key areas: identifying the right creators, suggesting impactful workflow actions, and creating more relevant content.


Is AI Justifying its Popularity among CIOs?

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Along with innovative services, AI is helping the M&E industry to take big strides towards a bright and profitable future. FREMONT, CA: The media and entertainment sector is experiencing a wave of transformations with the accelerated adoption of advanced technologies. Artificial intelligence, being one of the most impressive technologies, is already an impactful part of the industry. The advanced technology gives machines cognitive powers, which is so beneficial to businesses that CIOs have been giving it the highest priority lately. The M&E CIOs who have led their organizations towards embracing AI has enjoyed exceptional success in the form of improved quality of services and accelerated growth.


The importance of machine learning in your digital marketing strategy

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Although the future effects of machine learning for digital marketers are not yet fully foreseeable, they are already having an impact on the digital marketing landscape. Machine Learning Tools are able to analyze extremely large amounts of data and provide understandable analysis or results that marketing teams can use to their advantage. Companies that already use ML tools have more time to focus on other areas and use the knowledge gained to their advantage. The way ML is used in digital marketing practices helps to broaden the understanding of their target consumers and to foster and enhance the interaction with them. In 2017, IDC Future Scapes estimated that 75% of the development teams used some types of AI features in at least one service or application.


The importance of machine learning in your digital marketing strategy

#artificialintelligence

Although the future effects of machine learning for digital marketers are not yet fully foreseeable, they are already having an impact on the digital marketing landscape. Machine Learning Tools are able to analyze extremely large amounts of data and provide understandable analysis or results that marketing teams can use to their advantage. Companies that already use ML tools have more time to focus on other areas and use the knowledge gained to their advantage. The way machine learning is used in digital marketing practices helps to broaden the understanding of their target consumers and to foster and enhance the interaction with them. In 2017, IDC Future Scapes estimated that 75% of the development teams used some types of AI features in at least one service or application.


What Content Marketers Need to Know Now About Artificial Intelligence

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When you think about artificial intelligence (AI), robots, androids and other futuristic technologies may come to mind. And while some of the most successful tech companies like Facebook, Amazon and Google have built their success on industry-changing applications of artificial intelligence, the concept is still fairly new to content marketing teams. In the most basic sense "artificial intelligence" broadly refers to the processes and technologies that are created to teach machines to perform intelligent tasks. For content marketers, "intelligent tasks" typically refer to algorithms designed to process data. This goes far beyond automation, which is where the majority of marketing technology supports marketing teams today.