The rise of AI-driven hiring processes is raising ethical concerns about fairness in job selection.

Companies like Microsoft and Workday are facing legal challenges related to AI discrimination.

CIOs are advocating for transparency in vendor-led AI hype.

HR leaders with AI skills are in high demand and receiving pay raises.

Forrester CEO George Colony emphasizes the importance of generative artificial intelligence (genAI) in unlocking value from data, comparing it to the Gutenberg press of the 21st century.

Practical lessons from building a genAI model at Forrester include challenges, sources of innovation, low implementation costs, CEO support, and the need for action despite complexity.

Developers and tech professionals are urged to keep skills sharp and learn about latest advancements in GenAI.

Key terminologies in GenAI include AI, Machine Learning, Deep Learning, NLP, and Generative AI.

Applications of GenAI span content creation, customer support, business, finance, and education, offering innovative solutions.

Leveraging pre-trained models, exploring APIs, and following best practices enable GenAI to solve complex problems and build efficient AI applications.