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

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Stagwell agencies have been using broader AI functions across the company and creating open-source tools in the tech community. Wren added on the call the holdco is “embracing [AI] as quickly as we possibly can.” This is not tech that should be viewed as a one-off campaign, but real disruption.”

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HR and Talent in the Era of AI

IBM Journey to AI blog

In this new era, however, generative AI can deliver more using targeted advisors and the use cases that benefit from it will continue to expand. Processes such as job description creation, auto-grading video interviews and intelligent search that once required a human employee can now be completed using data-driven insights and generative AI.

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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Journey to AI blog

But simultaneously, generative AI has the power to transform the process of application modernization through code reverse engineering, code generation, code conversion from one language to another, defining modernization workflow and other automated processes. Much more can be said about IT operations as a foundation of modernization.

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How to become an AI+ enterprise

IBM Journey to AI blog

Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development. We refer to this transformation as becoming an AI+ enterprise. This requires a holistic enterprise transformation.

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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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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning Blog

Automation of building new projects based on the template is streamlined through AWS Service Catalog , where a portfolio is created, serving as an abstraction for multiple products. Model explainability Model explainability is a pivotal part of ML deployments, because it ensures transparency in predictions.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Natural language generation (NLG) complements this by enabling AI to generate human-like responses. NLG allows conversational AI chatbots to provide relevant, engaging and natural-sounding answers. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.