According to Steve McMillan, President and CEO of Teradata, the primary evaluation criteria for AI systems in 2024 will be their ability to drive transformative and novel outcomes. Following the surge of interest in large language models (LLMs) and ChatGPT in 2023, the focus will shift towards AI driving creative breakthroughs and industry transformations. Significant investments are expected in generative AI initiatives that go beyond novelty and offer substantial improvements in outcomes.

Incorporating AI-driven automation and machine learning (ML) into decision-making processes will require businesses to prioritize "getting the data right." Clean, accurate, and reliable data will be indispensable for successful AI projects. Businesses will seek to integrate AI and ML into various aspects of their operations to augment efficiency and competence, leading to embedded AI in organizational products and services.

The demand for enterprise-scale AI experimentation and discovery will increase in 2024. Organizations will aim to liberate data, including open data, and leverage evolving solutions such as serverless query engines, integrated data with advanced LLMs, and accessible open table formats. These solutions will simplify the exploration of innovative use cases at scale for data scientists, engineers, and developers.

Trust, ethics, and sustainability will dominate the discussion around AI in 2024. Trustworthy information and transparent datasets will be emphasized to ensure confidence in AI outcomes. The quality of predictions or insights directly depends on the quality of the underlying data. Data ethics will also receive greater attention as governments and consumers demand transparency and accountability in AI, particularly regarding data used to train AI systems. Additionally, businesses will face scrutiny regarding the energy consumption of AI projects, potentially leading to a rise in smaller and more efficient language models that are customizable, accurate, secure, and environmentally sustainable.

In summary, trust, ethics, and sustainability will be key considerations for AI in 2024. Trustworthy data, transparency, and accountability will be crucial to ensure confidence in AI outcomes. The emphasis on clean data, transformative outcomes, and sustainable practices will shape the future of AI ventures.