The tech industry has seen a surge in AI development following OpenAI's release of ChatGPT last year, with companies like Microsoft and Google investing heavily to catch up. The boom in AI has led to the creation of new roles, such as senior executives in charge of AI, and is expected to continue with emerging trends in 2024 and beyond. Personalized AI systems trained on individual user data are likely to become more prevalent, offering highly personalized experiences and insights. Data integration tools will be crucial for enterprises to centralize data from diverse operational data stores and build a corpus to train AI on. Governance and regulation of AI are becoming increasingly important as companies focus on ensuring data quality, compliance, and security. Domain-specific, specialized models will rule the enterprise, offering greater accuracy and efficiency in applications. Open-source models are closing the gap with commercial counterparts, making advanced tools more accessible. Regulations and compliance are taking hold, with governments and businesses focusing on regulating AI to mitigate risks. Data lakes are gaining popularity as large enterprises recognize their need for housing unstructured and semi-structured text data needed for AI. Finally, fine-tuning models is becoming significantly easier thanks to new AI platforms that abstract away complexity, making model customization more accessible.