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INC – Companies need to take control of their data to avoid problems with artificial intelligence (AI). Data is like fuel for AI, and if you don’t manage it well, AI might make mistakes or become unreliable. Here are some important points to keep in mind:
Data Quality and Management: Ensure data is accurate, up-to-date, and organized for easy access, leading to better AI decisions and fewer errors.
Privacy and Security: Protect data from unauthorized access to maintain customer trust.
Transparency: Clearly explain data usage and AI practices to customers.
By focusing on these areas, companies can harness AI’s power while minimizing risks and building trust. Effective data management now leads to better AI outcomes in the future.
By HOWARD TULLMAN | JUL 2, 2024
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HBR – Promise-based management is crucial for translating strategy into action by fostering a network of commitments within organizations. This approach addresses common execution failures, such as disengaged employees, siloed functions, and complex matrix structures. By emphasizing clear, well-crafted promises, managers can enhance coordination, agility, and employee engagement. Public, explicit, and voluntary commitments are key to this method. For example, Royal Bank of Scotland and AmBev have successfully utilized public promises to drive performance. Effective promise management also requires continuous dialogue to adapt to changing circumstances and ensure alignment with organizational goals.