Artificial Intelligence is no longer a futuristic concept for enterprises - it’s here now, promising improvements in efficiency, insights, and innovation. But successfully implementing AI in an enterprise setting requires more than just technology acquisition. It demands strategic planning, risk management, and a strong governance framework, all while navigating a rapidly evolving legal landscape. In this article, we delve into the key considerations for organizations (across industries in India and beyond) looking to harness AI’s potential responsibly. From top implementation tips and data risks to the build-vs-buy dilemma, legal safeguards, and crafting AI policies, we provide a comprehensive guide for business leaders. This series of articles aims to equip General Counsels, CFOs, and corporate leadership with practical insights on leveraging AI effectively while managing its risks.
- Top 10 Things to Keep in Mind while Implementing AI in Enterprise
- Risks with Data in AI Implementation
- Buying vs. Building AI Solutions
- Legal and Financial Frameworks to Adopt for AI Risk Mitigation
- Salient Features Your AI Usage Policy Should Have
- Acts and Laws to Keep in Mind Before Implementing AI
- How Can Law Firms like LKS Help You in AI Implementation
