AI innovations fall into four categories

AI innovations fall into four ca

The wide range of AI innovations is expected to impact people and processes within and outside an enterprise context, making them important to understand for many stakeholders, from business leaders to the enterprise engineering teams tasked with deploying and operationalizing AI systems. 

Data and analytics (D&A) leaders have the most to gain, however, from using the Hype Cycle outlook to craft their AI strategies for the future and use technologies that offer high impact in the present.

The AI innovations on the Hype Cycle reflect complementary and sometimes conflicting priorities across four main categories:

  1. Data-centric AI
  2. Model-centric AI
  3. Applications-centric AI
  4. Human-centric AI

tegories

Share:
More Posts

Safeguarding Privacy with Synthetic Data

Q&A with Alys Woodward STAMFORD, Conn., June 27, 2024 Alys WoodwardSr Director Analyst, Gartner A major problem with AI development today is the burden involved in obtaining real-world data and labeling it. In fact,

Treat Cybersecurity as a Business Decision

Gartner Webinar – on demand Cybersecurity is a business issue, not a technical one, according to 88% of boards of directors surveyed. In fact, cybersecurity is now the number-one spend