Target Audience<\/h2><\/div>The program is designed for professionals in finance, banking, legal and management consulting, pension funds, and related fields who wish to deepen their understanding of artificial intelligence in the financial sector while staying up to date with current market trends. It is particularly well-suited for individuals working at the intersection of industry and finance.<\/p>\n<\/div>
Professionals in (not exhaustive):<\/h2><\/div>- <\/i><\/span>\n
Asset management<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Banking<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Financial advisory<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Pension funds<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Risk management<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Insurance and finance IT<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Corporate treasury and finance employees<\/p>\n<\/div><\/li><\/ul><\/div><\/div>
![\"\"](\"https:\/\/es.unisg.ch\/wp-content\/uploads\/2022\/10\/Untitled-design-5.png\" "\\"Untitled")
<\/span><\/div><\/div><\/div><\/div><\/div>Learning Objectives<\/h2><\/div><\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Working Knowledge of Artificial Intelligence<\/h3><\/div><\/div><\/div><\/i><\/div><\/div>Disruption Potential of Artificial Intelligence in Finance<\/h3><\/div><\/div><\/div><\/i><\/div><\/div>Use Cases for Artificial Intelligence in Finance<\/h3><\/div><\/div><\/div><\/div><\/div>Your Benefits<\/h2><\/div> <\/p>\n<\/div>
<\/i><\/div><\/div>Gain a structured, in-depth introduction to AI and deep learning without needing prior technical expertise.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Network with peers and industry experts in a dynamic and interactive environment across five thematic sessions.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Learn directly from top academics and professionals from organizations like UBS, EY, Nvidia, and the University of
\nSt.Gallen.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Stay ahead of the curve by exploring how generative AI and deep learning are transforming financial services.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
![\"\"](\"https:\/\/es.unisg.ch\/wp-content\/uploads\/2023\/11\/Finanzielle-Fuehrung2024.jpg\" "\\"Finanzielle-Fuehrung2024\\"")
<\/span><\/div><\/div><\/div><\/div><\/div>Structure<\/h2><\/div>The programme ist subject to changes. The speakers from the last edition include.<\/p>\n<\/div>
<\/i><\/i><\/span>Day 1: AI Overview<\/span><\/a><\/h3><\/div>\nTuesday, 25 May 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI: where we are today
\n<\/b>Overview on AI, machine learning and deep learning, covering cross-industry applications, hardware and technical aspects<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Generative AI: Overview and Industry Perspective
\n<\/b>Definition and overview on current main application areas within financial services, challenges and trends<\/p>\n
Lecturer: Dr. Michel Neuhaus, UBS<\/p>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Day 2: Deep Learning in Finance<\/span><\/a><\/h3><\/div>\nTuesday, 1 June 2027:<\/b> 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI for Finance: Overview and Foundations<\/b>
\nOverview on main application fields of deep learning and generative AI, including forecasting, deep learning for trading, derivatives pricing and hedging, asset management<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Deep Learning: Foundations and Practical AI Case Studies
\n<\/b>Working principles underlying deep learning, optimization algorithms, computational graph structure, challenges and pitfalls associated to financial data<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen; Lukasz Opoka, UBS<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/i><\/i><\/span>Day 3: AI in Retail Banking & Hardware<\/span><\/a><\/h3><\/div>Tuesday, 8 June 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\nPractical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
The program is designed for professionals in finance, banking, legal and management consulting, pension funds, and related fields who wish to deepen their understanding of artificial intelligence in the financial sector while staying up to date with current market trends. It is particularly well-suited for individuals working at the intersection of industry and finance.<\/p>\n<\/div>
Professionals in (not exhaustive):<\/h2><\/div>- <\/i><\/span>\n
Asset management<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Banking<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Financial advisory<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Pension funds<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Risk management<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Insurance and finance IT<\/p>\n<\/div><\/li>
- <\/i><\/span>\n
Corporate treasury and finance employees<\/p>\n<\/div><\/li><\/ul><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div>Learning Objectives<\/h2><\/div><\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Working Knowledge of Artificial Intelligence<\/h3><\/div><\/div><\/div><\/i><\/div><\/div>Disruption Potential of Artificial Intelligence in Finance<\/h3><\/div><\/div><\/div><\/i><\/div><\/div>Use Cases for Artificial Intelligence in Finance<\/h3><\/div><\/div><\/div><\/div><\/div>Your Benefits<\/h2><\/div> <\/p>\n<\/div>
<\/i><\/div><\/div>Gain a structured, in-depth introduction to AI and deep learning without needing prior technical expertise.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Network with peers and industry experts in a dynamic and interactive environment across five thematic sessions.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Learn directly from top academics and professionals from organizations like UBS, EY, Nvidia, and the University of
\nSt.Gallen.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Stay ahead of the curve by exploring how generative AI and deep learning are transforming financial services.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div>Structure<\/h2><\/div>The programme ist subject to changes. The speakers from the last edition include.<\/p>\n<\/div>
<\/i><\/i><\/span>Day 1: AI Overview<\/span><\/a><\/h3><\/div>\nTuesday, 25 May 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI: where we are today
\n<\/b>Overview on AI, machine learning and deep learning, covering cross-industry applications, hardware and technical aspects<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Generative AI: Overview and Industry Perspective
\n<\/b>Definition and overview on current main application areas within financial services, challenges and trends<\/p>\n
Lecturer: Dr. Michel Neuhaus, UBS<\/p>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Day 2: Deep Learning in Finance<\/span><\/a><\/h3><\/div>\nTuesday, 1 June 2027:<\/b> 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI for Finance: Overview and Foundations<\/b>
\nOverview on main application fields of deep learning and generative AI, including forecasting, deep learning for trading, derivatives pricing and hedging, asset management<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Deep Learning: Foundations and Practical AI Case Studies
\n<\/b>Working principles underlying deep learning, optimization algorithms, computational graph structure, challenges and pitfalls associated to financial data<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen; Lukasz Opoka, UBS<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/i><\/i><\/span>Day 3: AI in Retail Banking & Hardware<\/span><\/a><\/h3><\/div>Tuesday, 8 June 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\nPractical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
Asset management<\/p>\n<\/div><\/li>
Banking<\/p>\n<\/div><\/li>
Financial advisory<\/p>\n<\/div><\/li>
Pension funds<\/p>\n<\/div><\/li>
Risk management<\/p>\n<\/div><\/li>
Insurance and finance IT<\/p>\n<\/div><\/li>
Corporate treasury and finance employees<\/p>\n<\/div><\/li><\/ul><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div>Learning Objectives<\/h2><\/div><\/div><\/div><\/div><\/div>
Working Knowledge of Artificial Intelligence<\/h3><\/div><\/div><\/div><\/i><\/div><\/div>Disruption Potential of Artificial Intelligence in Finance<\/h3><\/div><\/div><\/div><\/i><\/div><\/div>Use Cases for Artificial Intelligence in Finance<\/h3><\/div><\/div><\/div><\/div><\/div>Your Benefits<\/h2><\/div> <\/p>\n<\/div>
<\/i><\/div><\/div>Gain a structured, in-depth introduction to AI and deep learning without needing prior technical expertise.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Network with peers and industry experts in a dynamic and interactive environment across five thematic sessions.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Learn directly from top academics and professionals from organizations like UBS, EY, Nvidia, and the University of
\nSt.Gallen.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Stay ahead of the curve by exploring how generative AI and deep learning are transforming financial services.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div>Structure<\/h2><\/div>The programme ist subject to changes. The speakers from the last edition include.<\/p>\n<\/div>
<\/i><\/i><\/span>Day 1: AI Overview<\/span><\/a><\/h3><\/div>\nTuesday, 25 May 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI: where we are today
\n<\/b>Overview on AI, machine learning and deep learning, covering cross-industry applications, hardware and technical aspects<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Generative AI: Overview and Industry Perspective
\n<\/b>Definition and overview on current main application areas within financial services, challenges and trends<\/p>\n
Lecturer: Dr. Michel Neuhaus, UBS<\/p>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Day 2: Deep Learning in Finance<\/span><\/a><\/h3><\/div>\nTuesday, 1 June 2027:<\/b> 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI for Finance: Overview and Foundations<\/b>
\nOverview on main application fields of deep learning and generative AI, including forecasting, deep learning for trading, derivatives pricing and hedging, asset management<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Deep Learning: Foundations and Practical AI Case Studies
\n<\/b>Working principles underlying deep learning, optimization algorithms, computational graph structure, challenges and pitfalls associated to financial data<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen; Lukasz Opoka, UBS<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/i><\/i><\/span>Day 3: AI in Retail Banking & Hardware<\/span><\/a><\/h3><\/div>Tuesday, 8 June 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\nPractical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
Disruption Potential of Artificial Intelligence in Finance<\/h3><\/div><\/div><\/div><\/i><\/div><\/div>Use Cases for Artificial Intelligence in Finance<\/h3><\/div><\/div><\/div><\/div><\/div>Your Benefits<\/h2><\/div> <\/p>\n<\/div>
<\/i><\/div><\/div>Gain a structured, in-depth introduction to AI and deep learning without needing prior technical expertise.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Network with peers and industry experts in a dynamic and interactive environment across five thematic sessions.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Learn directly from top academics and professionals from organizations like UBS, EY, Nvidia, and the University of
\nSt.Gallen.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Stay ahead of the curve by exploring how generative AI and deep learning are transforming financial services.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div>Structure<\/h2><\/div>The programme ist subject to changes. The speakers from the last edition include.<\/p>\n<\/div>
<\/i><\/i><\/span>Day 1: AI Overview<\/span><\/a><\/h3><\/div>\nTuesday, 25 May 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI: where we are today
\n<\/b>Overview on AI, machine learning and deep learning, covering cross-industry applications, hardware and technical aspects<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Generative AI: Overview and Industry Perspective
\n<\/b>Definition and overview on current main application areas within financial services, challenges and trends<\/p>\n
Lecturer: Dr. Michel Neuhaus, UBS<\/p>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Day 2: Deep Learning in Finance<\/span><\/a><\/h3><\/div>\nTuesday, 1 June 2027:<\/b> 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI for Finance: Overview and Foundations<\/b>
\nOverview on main application fields of deep learning and generative AI, including forecasting, deep learning for trading, derivatives pricing and hedging, asset management<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Deep Learning: Foundations and Practical AI Case Studies
\n<\/b>Working principles underlying deep learning, optimization algorithms, computational graph structure, challenges and pitfalls associated to financial data<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen; Lukasz Opoka, UBS<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/i><\/i><\/span>Day 3: AI in Retail Banking & Hardware<\/span><\/a><\/h3><\/div>Tuesday, 8 June 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\nPractical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
Use Cases for Artificial Intelligence in Finance<\/h3><\/div><\/div><\/div><\/div><\/div>Your Benefits<\/h2><\/div> <\/p>\n<\/div>
<\/i><\/div><\/div>Gain a structured, in-depth introduction to AI and deep learning without needing prior technical expertise.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Network with peers and industry experts in a dynamic and interactive environment across five thematic sessions.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Learn directly from top academics and professionals from organizations like UBS, EY, Nvidia, and the University of
\nSt.Gallen.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Stay ahead of the curve by exploring how generative AI and deep learning are transforming financial services.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div>Structure<\/h2><\/div>The programme ist subject to changes. The speakers from the last edition include.<\/p>\n<\/div>
<\/i><\/i><\/span>Day 1: AI Overview<\/span><\/a><\/h3><\/div>\nTuesday, 25 May 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI: where we are today
\n<\/b>Overview on AI, machine learning and deep learning, covering cross-industry applications, hardware and technical aspects<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Generative AI: Overview and Industry Perspective
\n<\/b>Definition and overview on current main application areas within financial services, challenges and trends<\/p>\n
Lecturer: Dr. Michel Neuhaus, UBS<\/p>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Day 2: Deep Learning in Finance<\/span><\/a><\/h3><\/div>\nTuesday, 1 June 2027:<\/b> 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI for Finance: Overview and Foundations<\/b>
\nOverview on main application fields of deep learning and generative AI, including forecasting, deep learning for trading, derivatives pricing and hedging, asset management<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Deep Learning: Foundations and Practical AI Case Studies
\n<\/b>Working principles underlying deep learning, optimization algorithms, computational graph structure, challenges and pitfalls associated to financial data<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen; Lukasz Opoka, UBS<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/i><\/i><\/span>Day 3: AI in Retail Banking & Hardware<\/span><\/a><\/h3><\/div>Tuesday, 8 June 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\nPractical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
Your Benefits<\/h2><\/div> <\/p>\n<\/div>
<\/i><\/div><\/div>Gain a structured, in-depth introduction to AI and deep learning without needing prior technical expertise.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Network with peers and industry experts in a dynamic and interactive environment across five thematic sessions.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Learn directly from top academics and professionals from organizations like UBS, EY, Nvidia, and the University of
\nSt.Gallen.<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Stay ahead of the curve by exploring how generative AI and deep learning are transforming financial services.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div>Structure<\/h2><\/div>The programme ist subject to changes. The speakers from the last edition include.<\/p>\n<\/div>
<\/i><\/i><\/span>Day 1: AI Overview<\/span><\/a><\/h3><\/div>\nTuesday, 25 May 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI: where we are today
\n<\/b>Overview on AI, machine learning and deep learning, covering cross-industry applications, hardware and technical aspects<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Generative AI: Overview and Industry Perspective
\n<\/b>Definition and overview on current main application areas within financial services, challenges and trends<\/p>\n
Lecturer: Dr. Michel Neuhaus, UBS<\/p>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Day 2: Deep Learning in Finance<\/span><\/a><\/h3><\/div>\nTuesday, 1 June 2027:<\/b> 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI for Finance: Overview and Foundations<\/b>
\nOverview on main application fields of deep learning and generative AI, including forecasting, deep learning for trading, derivatives pricing and hedging, asset management<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Deep Learning: Foundations and Practical AI Case Studies
\n<\/b>Working principles underlying deep learning, optimization algorithms, computational graph structure, challenges and pitfalls associated to financial data<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen; Lukasz Opoka, UBS<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/i><\/i><\/span>Day 3: AI in Retail Banking & Hardware<\/span><\/a><\/h3><\/div>Tuesday, 8 June 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\nPractical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
<\/p>\n<\/div>
Gain a structured, in-depth introduction to AI and deep learning without needing prior technical expertise.<\/p>\n<\/div><\/div><\/div><\/div>
Network with peers and industry experts in a dynamic and interactive environment across five thematic sessions.<\/p>\n<\/div><\/div><\/div><\/div>
Learn directly from top academics and professionals from organizations like UBS, EY, Nvidia, and the University of
\nSt.Gallen.<\/p>\n<\/div><\/div><\/div><\/div>
Stay ahead of the curve by exploring how generative AI and deep learning are transforming financial services.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div>Structure<\/h2><\/div>The programme ist subject to changes. The speakers from the last edition include.<\/p>\n<\/div>
<\/i><\/i><\/span>Day 1: AI Overview<\/span><\/a><\/h3><\/div>\nTuesday, 25 May 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI: where we are today
\n<\/b>Overview on AI, machine learning and deep learning, covering cross-industry applications, hardware and technical aspects<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Generative AI: Overview and Industry Perspective
\n<\/b>Definition and overview on current main application areas within financial services, challenges and trends<\/p>\n
Lecturer: Dr. Michel Neuhaus, UBS<\/p>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Day 2: Deep Learning in Finance<\/span><\/a><\/h3><\/div>\nTuesday, 1 June 2027:<\/b> 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI for Finance: Overview and Foundations<\/b>
\nOverview on main application fields of deep learning and generative AI, including forecasting, deep learning for trading, derivatives pricing and hedging, asset management<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Deep Learning: Foundations and Practical AI Case Studies
\n<\/b>Working principles underlying deep learning, optimization algorithms, computational graph structure, challenges and pitfalls associated to financial data<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen; Lukasz Opoka, UBS<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/i><\/i><\/span>Day 3: AI in Retail Banking & Hardware<\/span><\/a><\/h3><\/div>Tuesday, 8 June 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\nPractical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
The programme ist subject to changes. The speakers from the last edition include.<\/p>\n<\/div>
<\/i><\/i><\/span>Day 1: AI Overview<\/span><\/a><\/h3><\/div>\nTuesday, 25 May 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI: where we are today
\n<\/b>Overview on AI, machine learning and deep learning, covering cross-industry applications, hardware and technical aspects<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Generative AI: Overview and Industry Perspective
\n<\/b>Definition and overview on current main application areas within financial services, challenges and trends<\/p>\n
Lecturer: Dr. Michel Neuhaus, UBS<\/p>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Day 2: Deep Learning in Finance<\/span><\/a><\/h3><\/div>\nTuesday, 1 June 2027:<\/b> 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI for Finance: Overview and Foundations<\/b>
\nOverview on main application fields of deep learning and generative AI, including forecasting, deep learning for trading, derivatives pricing and hedging, asset management<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Deep Learning: Foundations and Practical AI Case Studies
\n<\/b>Working principles underlying deep learning, optimization algorithms, computational graph structure, challenges and pitfalls associated to financial data<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen; Lukasz Opoka, UBS<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/i><\/i><\/span>Day 3: AI in Retail Banking & Hardware<\/span><\/a><\/h3><\/div>Tuesday, 8 June 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\nPractical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
Tuesday, 25 May 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI: where we are today
\n<\/b>Overview on AI, machine learning and deep learning, covering cross-industry applications, hardware and technical aspects<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Generative AI: Overview and Industry Perspective
\n<\/b>Definition and overview on current main application areas within financial services, challenges and trends<\/p>\n
Lecturer: Dr. Michel Neuhaus, UBS<\/p>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Day 2: Deep Learning in Finance<\/span><\/a><\/h3><\/div>\nTuesday, 1 June 2027:<\/b> 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI for Finance: Overview and Foundations<\/b>
\nOverview on main application fields of deep learning and generative AI, including forecasting, deep learning for trading, derivatives pricing and hedging, asset management<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Deep Learning: Foundations and Practical AI Case Studies
\n<\/b>Working principles underlying deep learning, optimization algorithms, computational graph structure, challenges and pitfalls associated to financial data<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen; Lukasz Opoka, UBS<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/i><\/i><\/span>Day 3: AI in Retail Banking & Hardware<\/span><\/a><\/h3><\/div>Tuesday, 8 June 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\nPractical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
Tuesday, 1 June 2027:<\/b> 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\n
AI for Finance: Overview and Foundations<\/b>
\nOverview on main application fields of deep learning and generative AI, including forecasting, deep learning for trading, derivatives pricing and hedging, asset management<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen<\/p>\n
Deep Learning: Foundations and Practical AI Case Studies
\n<\/b>Working principles underlying deep learning, optimization algorithms, computational graph structure, challenges and pitfalls associated to financial data<\/p>\n
Lecturer: Prof. Dr. Lukas Gonon, University of St.Gallen; Lukasz Opoka, UBS<\/p>\n<\/div><\/div><\/div><\/div><\/div>
<\/i><\/i><\/span>Day 3: AI in Retail Banking & Hardware<\/span><\/a><\/h3><\/div>Tuesday, 8 June 2027: 15:00-19:00 (incl. Drinks, Snacks and Networking), Zurich<\/b><\/p>\nPractical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
Practical GenAI Use Cases for the Financial Services Industry<\/b><\/p>\n
Lecturer: Daniel Trzesniak, EY<\/p>\n
Deep Learning in Finance \u2013 Hardware Industry Perspective<\/b><\/p>\n
Lecturer: Dr. Martin Marciniszyn Mehringer, Nvidia<\/p>\n<\/div><\/div><\/div>
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