Learn more of the hot topics and trends related to:

• Employment
• Human driven oversight x AI
• AI Risk Management
• AI KPIs
• Development of the expected NEW kilowatt chip

At Omdia - the technology research arm of Informa Tech – our analysts have been tracking and forecasting use cases for generative AI across a wide range of industries, globally, since this tech exploded into mainstream. From our research, we’ve prepared this helpful guide, which asks the question: “Should Generative AI…”

Discover key insights with our eBook on Generative AI in the Enterprise. Explore adoption barriers, expert recommendations, and compelling use cases for this transformative technology.

The AI Enterprise Insights Intelligence Service by Omdia empowers you to:

➤ Explore vendor opportunities in enterprise adoption of AI
➤ Gain insights into the market dynamics, specifically behavior preferences of enterprise buyers 
➤ Build best practices
➤ Optimize product positioning
➤ Attract new markets and verticals
➤ Monitor AI business performance metrics
➤ Discover the effective strategies and organizational frameworks that enterprises employ to tackle AI Key Performance Indicators (KPIs) through our resource, AI KPIs: Best Practices Snapshot. 

Reach out to our team to learn more on our cutting-edge AI research services, including the Enterprise AI Insights Intelligence Service.

"On the most fundamental level, responsible AI starts with integrity, awareness, responsibility and accountability for the decisions we make as AI practitioners and industry captains – every single day, one dollar at a time. We can wait for governments to hand us the rules, or we can start making the right choices today. Together, they create the future – for us, for our children, and for generations to come. We need to proceed responsibly.”

Natalia Modjeska, Research Director, AI and Intelligent Automation

“GAI continues to dominate, but as GAI matures, it seems to be influencing a number of existing markets in unexpected ways. For example, our data warehousing customers are asking "a lot" about vector databases, which are used to house LLM embeddings for use cases like retrieval augmented generation (RAG) for document search.”

Bradley Shimmin, Chief Analyst, AI

“Intelligence has a material basis - the GPUs, custom ASICs, and other processors that power the world's AI models. The extraordinary demand for compute from ever-bigger AIs is reshaping the semiconductor industry, bringing players from CPU, GPU, mobile, and custom into direct competition and driving a new generation of chip startups and custom silicon projects. However, the biggest challenge will be overcoming NVIDIA's lead in terms of software and developer tools.”

Alexander Harrowell, Principal Analyst, Advanced Computing for AI