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- #67: Integrating AI
#67: Integrating AI
The One Minute For: Research Findings, Expert Strategic Advice, Lessons from a Failure Case
Art Voloshyn
July 09, 2024
IN TODAY’S EPISODE 👀
Audio Version of This Episode
 4:23 |  Audio: #EPISODE 67 |
THE ONE MINUTE TO RESEARCH 🔎
by Wire19
 | AI’s Impact on HR |
1:20 | Audio: #EPISODE 67-1 |
Deel conducted a comprehensive survey of 1,100 HR decision-makers, revealing key benefits and concerns about the role of AI in HR functions. Here are the main findings.
Current Use and Future Adoption:
38% of HR decision-makers currently employ AI.
23% of non-users plan to adopt AI within the next year.
70% of non-users are unlikely to implement AI within the next 12 months.
Demographic Insights:
83% of HR decision-makers under 35 are optimistic about AI, compared to 38% of those aged 55 and above.
85% of HR decision-makers in companies with 250+ employees are optimistic about AI, compared to 47% from smaller companies.
61% of businesses with over $10 million in revenue use AI, while 81% of smaller companies (with under $1 million in revenue) are unlikely to implement AI within the next year.
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THE ONE MINUTE OF EXPERT VOICE 🎙
by Bernard Marr
 | How Businesses Should (And Should Not) Use AI |
1:02 | Audio: #EPISODE 67-2 |
Bernard Marr, internationally best-selling author and keynote speaker, provides his expert insights on the critical factors businesses must address to effectively implement artificial intelligence.
1. Start With Strategy, Not Technology.
 | “AI is not a panacea that magically resolves all business challenges. Before diving in, companies need to identify clear use cases where AI can have a meaningful impact that is aligned with business objectives.” |
2. Address Ethical Considerations and Ensure Compliance.
 | “By maintaining transparency in data and algorithmic processes, companies can prevent the detrimental effects of biased AI… Regulatory compliance, including adherence to data protection laws like GDPR in Europe and CCPA in California, must be a priority.” |
3. Assess Technology Infrastructure Requirements.
| “Modern cloud AI solutions provide an illustrative example of integrating AI into existing IT ecosystems, offering advanced data storage and computing capabilities tailored to support intensive AI operations. Businesses must consider these infrastructure needs early in the planning process to ensure seamless AI integration and scalability.” |
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THE ONE MINUTE FOR CASE STUDIES 📋
by HR Dive
 | Learning from Failure: ChatGPT Experimentation |
1:05 | Audio: #EPISODE 67-3 |
The team at Mineral, a division of Mitratech, initially used ChatGPT 3.5 to provide quick, accurate HR answers to complex client inquiries but found the responses lacked nuance, especially for state and federal law questions. Struggling with effective prompts, they abandoned the experiment after four weeks.
They then tried ChatGPT 4.0, focusing on 'human in the loop' collaboration to improve accuracy. Training the team on proper input and human oversight led to significant improvements over three weeks, revealing the tool's potential.
From this experience, the company drew several important lessons and shared these recommendations for those integrating AI tools.
Have you had any failures in implementing AI at work? Share your experience with colleagues.
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