Rethinking Digital Content Monetization in the AI Era
Discover Altman Solon's strategy for digital publishers to navigate the rise of generative AI and maximize digital content monetization.
Discover Altman Solon's strategy for digital publishers to navigate the rise of generative AI and maximize digital content monetization.
What is the infrastructure impact of enterprise generative AI tools? Altman Solon delves into the critical aspect of infrastructure demands.
Nearly one-in-four U.S. technology firms say they currently use generative AI tools to boost software development, with significant growth in adoption across major business functions predicted over the next year, according to a new survey of senior technology executives by global strategy consulting firm Altman Solon.
Enterprises that want to adopt generative AI tools face more complex choices compared to when they adopt well-established enterprise Software-as-a-Service (SaaS) solutions. How a company opts to develop and deploy generative AI tools brings tradeoffs across security, tool customization, licensing fees, deployment costs, scalability, time to deploy, and availability of internal skillsets.
This insight explores how generative AI tools impact strategic business functions: software development, marketing, customer service, product management and product design.