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AI at Work: expectations vs realities I had opportunity to share my views on AI and how it affects our professional lives with DataBeers Luxembourg community. Thanks to organisers Aymen Elloumi, Elodie Trojanowski and most importantly participants who made the evening possible. Event was held at Ramborn Cider Co. which is located in Luxembourg - Germany border. Bill Hein and his colleagues are making very delicious cider in their secret lab applying data-informed approaches. Notes from my presentation: ↳ According to Microsoft's AI at Work report: • 75% of employees use AI at work. • 66% of employers will hire candidates with AI skills. • AI Power Users will predict future of AI workplace. ↳ Expectations • Increased efficiency • Increased accuracy • Real time insights • Cost savings • Decision making ↳ Realities: • Adoption rates, lack of AI literacy • Implementation and hidden costs • Complexity of activities • Data quality, lack of documentations, standardization • Mistrust and hallucinations ↳ Businesses can follow this cycle to assess necessity of AI at their busineeses: • Assessment • Strategy • AI • Governance • Upskill staff • Monitor • Scale up • Repeat