Generative AIThe rise of 2023 has attracted much attention, however, according to BTGup to dateThe report found that while demand for data science, artificial intelligence, and machine learning continues to grow, approximately 71% employers still face challenges in lacking in-house expertise to effectively integrate AI, especially generative AI, into non-technical workflows.
Core challenges highlighted in the report include a lack of clarity on AI regulations;advancedLeadership teams have limited understanding of AI, concerns about data protection and security, and are busy with other priorities.optimalLack of understanding of application areas. This poses a major challenge to the integration of AI, potentially resulting in the World Economic Forum’s forecast of $14.4 trillion in economic growth driven by generative AI being hampered by limited knowledge.
Source Note: The image is generated by AI, and the image is authorized by Midjourney
To address this internal knowledge gap, the article proposes a number of solutions. First, key internal stakeholders and business partners should develop awareness of AI and its capabilities through training, thereby enabling leadership to make the right choices for their organizations.
Another simple solution is for employers to hire proven external AI consultants with expertise in AI ethics and regulation, as well as data protection and security. These consultants can work with employers to advise them on how to integrate AI at work without compromising data or trust.
Another long-term approach that may be more appropriate for some employers is to hire someone dedicated to AI change management or to form an AI focus group. Although the concept is relatively new, this type of change management may be very effective in rolling out AI use department by department until everyone is using AI tools to improve productivity.
The report recommends considering a pilot program before rolling it out across the company to test user experience and acceptance and collect feedback to assess which tools best meet the organization's goals. Once these steps are completed, you can gradually scale up and collect feedback for each user group.
Finally, extensive training is provided to employees at all levels, fromadvancedLeading down to mid-level managers and junior staff, teach how AI is deployed and develop ethical guidelines about its capabilities. This will help dispel any misunderstandings or concerns surrounding the use of this technology.