Blazing New Trails Responsible Generative AI and the Creative Adoption of a Large Language Model at Deloitte Canada Marion KorosecSerfaty Luc Lesperance
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I am delighted to be a part of this year’s BCG MATRIX Panel on Blazing New Trails, Responsible Generative AI, and the Creative Adoption of a Large Language Model (LLM), facilitated by The Deloitte Institute for Learning and Development (DILD) and the Human Capital Leadership (HCL) community. This year’s MATRIX panel offers insights and best practices on how organizations can respond and embrace Generative AI to develop new insights, products, and services
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In today’s business landscape, the concept of creative technology is one that has become essential for companies looking to stand out and adapt to consumer preferences. With the rise of the internet and digital media, a company can reach new audiences and promote its products and services in ways previously unheard of. see this website In recent years, there has been a push towards generative artificial intelligence (AI), which is the development of algorithms that learn and produce content through natural language processing (NLP) — a technique used to automate tasks that typically require human intervention, such as creating content
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In a rapidly changing and complex world, AI holds immense potential to drive innovation and progress for companies and societies alike. However, in a few cases, AI has not led to positive outcomes, with issues such as manipulation, data breaches, and system failures emerging, all leading to moral and social repercussions. On the other hand, in others, AI has led to new opportunities and solutions. This paper explores a case in which AI in the form of a large language model at Deloitte Canada led to
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Blazing New Trails Responsible Generative AI Generative Adversarial Networks (GANs) are revolutionizing artificial intelligence by increasing the pace and accuracy of model building by allowing multiple models to compete against each other. These complex and often unpredictable neural networks have great potential for creative problem-solving. At Deloitte Canada, we are investing in and experimenting with this technology in many areas. One example is in creative problem-solving for our people’s development. check it out One of the most exciting
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Blazing New Trails This paper will explore the application of large language models (LLMs) in generating ideas and concepts, specifically in the areas of art and music. The paper will do so by presenting a case study involving the use of an LLM in the creative process at Deloitte Canada. The paper will draw upon data analysis, industry research, and interviews to shed light on the use of LLMs in the creative process at Deloitte Canada. The advancement of technology in recent years has led to the
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In 2019, Deloitte Canada announced a groundbreaking initiative that would transform their data and analytics capabilities. This new approach to data management is grounded in the use of generative AI and a large language model that was created in partnership with Google and the University of Michigan. The technology that supports this approach is an evolution of previous data science solutions, which relied on techniques such as machine learning, artificial neural networks, and reinforcement learning to analyze and predict complex patterns from large amounts of data. Through this approach, Del