{"id":32611,"date":"2025-01-17T06:44:47","date_gmt":"2025-01-17T06:44:47","guid":{"rendered":"https:\/\/peraltafinancing.com\/analytics\/generative-ai-bridging-the-skill-gap-and-transforming-business-at-whartons-annual-workshop\/"},"modified":"2025-01-17T06:44:47","modified_gmt":"2025-01-17T06:44:47","slug":"generative-ai-bridging-the-skill-gap-and-transforming-business-at-whartons-annual-workshop","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=32611","title":{"rendered":"Generative AI: Bridging the Skill Gap and Transforming Business at Wharton\u2019s Annual Workshop"},"content":{"rendered":"


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On September 5-6, AI at Wharton hosted its second annual Business and Generative AI Workshop<\/a>, gathering more than 150 experts on Wharton\u2019s San Francisco campus to explore the next wave of this transformative technology. Sponsored by Accenture, the Workshop showcased groundbreaking research and innovations in the rapidly evolving field of generative AI, and attendees explored the latest advancements in its applications across various industries. Attendees heard from more than 60 speakers over the two-day event, each of whom brought novel research and leading insights into the application of generative AI across a range of industries and sectors. Conversations ranged from AI\u2019s impact on generated content and online reviews to e-commerce worker performance and software development.\u00a0 In the aggregate, these presentations underscored the idea that AI is not simply a technological advancement, but a transformative force reshaping industries, economies, and leadership.<\/p>\n

Bridging the Skill Gap<\/h2>\n

Erik Brynjolfsson<\/a>, the Jerry Yang and Akiko Yamazaki Professor at Stanford University, and Senior Fellow at the Stanford Institute for Human-Centered AI, delivered the Workshop\u2019s opening keynote. Exploring the transformative power of AI on the economy and workforce, his talk emphasized that AI is the most significant technology of our era, not only because of its pervasiveness, but because it is a General Purpose Technology (GPT)\u2014an acronym he humorously noted has been repurposed by AI researchers.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n

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Brynjolfsson offered a powerful real-world example of how generative AI is transforming industries even at this early stage. In research<\/a> he conducted with Lindsay Raymond and Daniel Lee, the team examined how the AI solutions company Cresta effectively implemented custom AI models into their call centers. Brynjolfsson shared, \u201cthe AI didn\u2019t replace the agents; it augmented them.\u201d By providing call center agents with immediate, accurate, and company-specific answers to their callers\u2019 questions, this augmentation improved overall productivity by 14%. Perhaps most importantly, it had the most profound impact on less-skilled workers, whose performance improved by 30-35%. Brynjolfsson emphasized how AI is helping to \u201cclose the gap\u201d between less-skilled and highly skilled workers, challenging the traditional paradigm of skill-biased technical change: \u201cIt was the least-skilled workers who benefited the most, not the most-skilled workers.\u201d<\/p>\n<\/p><\/div>\n<\/p><\/div>\n

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The AI Clock is Already Ticking<\/h2>\n

Later in the Workshop, Erika James, Dean of the Wharton School<\/strong> and Reliance Professor of Management and Private Enterprise, joined James Crowley (W\u201996)<\/strong>, Global Products Industry Practices Chair at Accenture, in a conversation about shaping our collective AI future. Together, the pair examined the vital importance of our current AI moment, as it represents the best and maybe only opportunity we will have to set the ground rules for how business, schools, and society at large engage with these tools.<\/p>\n

To meet the moment, The Wharton School launched Wharton AI & Analytics Initiative (WAIAI)<\/a> earlier this summer. \u201cThe mission of [WAIAI] is to become the academic authority on the application of AI and analytics to fuel business innovation and to positively impact society,\u201d said Dean James. \u201cI have responsibility for ensuring that the students we educate have access and opportunity to jobs and roles once they leave our institutions.\u201d<\/p>\n

Crowley, who described AI as \u201cthe most ubiquitous and humanizing\u201d technological wave since the internet, reiterated James\u2019 emphasis on needing to get involved with the technology at this early, developmental stage. He stressed the next 12-to-36 months represent a \u201cmoment of truth\u201d for organizations to leverage AI and reinvent their operations. He highlighted Accenture\u2019s significant investment in AI, with $3 billion allocated to the development of AI solutions, reflecting the company\u2019s commitment to helping clients embrace AI to enhance their performance.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n

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Dean James also brought attention to the human side of AI\u2019s impact, asking how organizations can manage the workforce disruptions that come with automation and AI.<\/p>\n

To that point, Crowley acknowledged that only a small percentage of companies currently have robust AI governance frameworks, noting that responsible AI usage is critical for both ethical reasons and business success. He highlighted the importance of bias testing, compliance checks, and the need for companies to go beyond just having AI governance principles.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n

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You\u2019re Only As Good As Your Data<\/strong><\/h2>\n

Another keynote presentation came from Shiv Trisal, Global Industry Leader at Databricks. He highlighted how companies like Amazon and Tesla have reshaped industries by harnessing AI and data, stating, \u201cthe winners in every industry will be those who become data and AI companies.\u201d Trisal noted that generative AI\u2019s true value lies in its ability to drive real business outcomes by turning unstructured data into actionable insights.<\/p>\n

Trisal also touched on the need for companies to focus on efficiency and governance. He shared insights from an upcoming Databricks report, revealing an 11-fold increase in AI models put into production over the last year. He emphasized, however, that merely deploying AI is not enough; companies must solve the \u201cdata governance challenge\u201d to ensure meaningful, scalable results. \u201cGovernance is really the new gold,\u201d he asserted, underscoring that better data management and governance frameworks are essential for AI\u2019s continued success across industries.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n\n","protected":false},"excerpt":{"rendered":"

On September 5-6, AI at Wharton hosted its second annual Business and Generative AI Workshop, gathering more than 150 experts on Wharton\u2019s San Francisco campus to explore the next wave of this transformative technology. 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