{"id":10748,"date":"2024-08-13T14:10:05","date_gmt":"2024-08-13T14:10:05","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=10748"},"modified":"2024-11-27T11:12:42","modified_gmt":"2024-11-27T11:12:42","slug":"ceos-bring-teams-up-to-speed-with-ai","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/eu\/blog\/ceos-bring-teams-up-to-speed-with-ai\/","title":{"rendered":"Leading With AI: How Forward-Looking CEOs Can Bring Teams Up to Speed"},"content":{"rendered":"\n

Introducing artificial intelligence (AI) to a sceptical workforce<\/strong><\/h2>\n\n\n\n

For most of us, films and TV shows have heavily influenced our vision of an AI future. We imagine intelligent computers that can do everything humans can do, only better. Naturally, we feel a little nervous about the prospect of AI at work. Will we still be needed?<\/p>\n\n\n\n

The answer is yes. While AI excels at processing data and identifying trends, human judgement and creativity are irreplaceable for strategic decision-making<\/a>.<\/p>\n\n\n\n

To introduce AI to a sceptical workforce, CEOs must first demystify the technology. You need to educate your team on what AI truly means for your business  \u2014 beyond the hype and misconceptions \u2014 by revealing its practical capabilities and limitations. <\/p>\n\n\n\n

Yet this can be challenging as currently there\u2019s a low level of confidence among more junior employees. While 77% of UK C-suite and 67% of managing directors<\/a> say they\u2019re confident in deploying AI responsibly, only 35% of senior managers and 29% of junior managers share this sentiment. This leaves CEOs with a critical question: How do you get all teams on board with using AI to achieve your business goals? <\/p>\n\n\n\n

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Strategies for CEOs to engage their teams with AI<\/strong><\/h2>\n\n\n\n

As a CEO, you juggle many challenges (from improving customer experience, data intelligence, and reporting, to motivating employees and beyond) \u2014 in a way, spinning all these plates is your unique <\/em>challenge. Here are key strategies that you can implement to help you engage your teams on AI and overcome barriers.<\/p>\n\n\n\n

1. Start an open conversation and seek ideas<\/strong><\/h3>\n\n\n\n

Engaging your workforce in open dialogues and allowing them to express their concerns and suggestions regarding AI integration shows them that you value their input. This collaborative approach cultivates a supportive environment for AI adoption and encourages them to envision how AI can complement their roles<\/a> and improve overall business efficiency. <\/p>\n\n\n\n

2. Provide colleagues with technical knowledge<\/strong><\/h3>\n\n\n\n

Tapping into your team’s inherent motivation to learn is critical. Research<\/a> by Salesforce found that just one in 10 UK workers feel they\u2019ve got the necessary AI skills to succeed at work. This approach prepares your workforce for the future and fosters a culture of adaptability and continuous learning, which form indispensable components for maximising the advantages of AI<\/a>.<\/p>\n\n\n\n

Additionally, upskilling your employees with knowledge of AI is essential in enabling them to identify and address biases in data and machine learning models<\/a> to ensure fair and ethical use. <\/p>\n\n\n\n

3. Prove value to stakeholders and shareholders<\/strong><\/h3>\n\n\n\n

AI-focused business leaders must understand that convincing goes beyond just employees. You need to gain the support of the C-suite, the board members, shareholders, and other key stakeholders who need to be convinced to provide financial backing for new technology investments. It’s vital you craft a clear value proposition that encapsulates the unique advantages AI brings to the table. But where to start?<\/p>\n\n\n\n

Begin with clearly explaining the return on investment that AI brings<\/a> and breaking down the cost of implementing these technologies. This financial justification is critical to ensure a sufficient budget for AI initiatives. By creating a comprehensive roadmap with defined and measurable goals, you can clearly show how these AI initiatives align with your business objectives and deliver tangible benefits.<\/p>\n\n\n\n

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4. Maintain regulations and compliance<\/strong><\/h3>\n\n\n\n

Trust is a key aspect<\/a> to consider when introducing AI. The workforce wants to know they\u2019re working with a robust, secure tool that isn\u2019t leaking data. The board wants to know you\u2019re not bringing risk \u2014 reputational or operational \u2014 into the organisation.<\/p>\n\n\n\n

A one-size-fits-all approach to regulations and compliance measures<\/a> may hinder innovation \u2014 a tailored approach is key. The following are some of the main areas to focus on:<\/p>\n\n\n\n