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ARTIFICIAL INTELLIGENCE / DEEP LEARNING WORKSHOP FOR CEOs - Hong Kong, Chin...

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Hotel ICON

17 Science Museum Road

Kowloon

Hong Kong

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Top executives of organizations around the world have heard a lot about artificial intelligence (AI). Within AI, there is machine learning, a technology that enables computers to get better at tasks with more practice. Furthermore, within machine learning, there is deep learning, which involves algorithms by which computers train themselves using multi-layered neural networks (inspired by the human brain) and vast quantities of data.

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved speech recognition, visual object recognition, object detection and many other domains such as financial trading, transportation, drug discovery and genomics. Deep learning effective and efficiently discovers intricate structure in large data sets by using algorithms to indicate how a machine should change its internal weights and biases that are used to compute the representation in each layer from the representation in the contiguous layer, which have brought about breakthroughs in processing images, video, speech, audio and financial data.

The Deep Learning Workshop for Today’s Strategic Leaders will show attendees how to harness the opportunities deep learning offers and how to prepare their organization. Practical applications for deep learning will impact businesses for years to come.



ATTENDEES TO THE PROGRAM WILL:

  • Get up to speed on how artificial intelligence, machine learning and deep learning will impact global business
  • Understand the role of deep learning in healthcare, manufacturing, transportation, customer service and finance
  • Review key enabling technologies including big data and scalable computing processing
  • Look at the landscape of how artificial intelligence stands today, why it is gravitating towards deep learning and how that fits in to the organization’s future
  • Start applying TensorFlow, the most widely-used deep learning framework, in the organization
  • Learn to personalize the customer experience with techniques similar to Google searches and Amazon recommendations
  • Devise a strategy to move the organization forward that focused on the company’s most pressing points to leverage deep learning
  • Embed deep learning in the organization’s existing technology development life-cycle

ORGANIZATIONS THAT WILL BENEFIT

All Forward Thinking Companies
Healthcare Companies
Manufacturing Companies
Transportation Companies
Customer Service
Banking and Financial Services
Law and Consulting Firms
Ecommerce Companies
Insurance Companies
Government & Regulators

EXECUTIVES EXPECTED IN ATTENDANCE

C-Suite Executives: CIOs, CTOs, COOs and CEOs
Chief AI Officers
Chief Customer Officer
Chief Data Officers
Chief Digital Officers
Chief Innovation Officers
Chief Learning Officers
Chief Legal Officers
Chief Medical Officers
Chief Product Officers
Board Members
Corporate Strategists
Data Management
Heads of AI
Heads of Big Data
Heads of Deep Learning
Heads of Machine Learning
Investment Managers
IT Managers
Private Equity Executives
Research Managers
Security Analysts
Venture Capitalists
AGENDA

The Deep Learning Workshop for Today’s Strategic Leaders will provide key insights into current and future developments for deep learning, with particular emphasis on what organizations can do today to leverage this revolutionary technology and apply it to their most pressing challenges

DAY 1: HOW DEEP LEARNING HAS EVOLVED

SESSION 1: ARTIFICIAL INTELLIGENCE (AI)
  • Leveraging huge amounts of information from specific domains to make decisions
  • Why financial firms are attracted to AI applications
  • The risks of AI

SESSION 2: MACHINE LEARNING
  • Algorithms to find patterns in data fed to it by humans
  • Supervised, unsupervised and reinforcement learning
  • The challenges for machine learning

SESSION 3: UNDERSTANDING NEURAL NETWORKS
  • The neuron as the computational unit in the neural network
  • Feedforward and backpropagation algorithms
  • Learning a representation through autoencoders
  • Limitations of neural networks

SESSION 4: THE IMPORTANCE OF BIG DATA ANALYTICS
  • Helping organizations make business decisions by examining large and varied data sets to uncover:
  • The challenge of managing huge amounts of data
  • How deep learning leverages the increased availability of computation power through the cloud

DAY 2: DEEP LEARNING AND HOW IS CHANGING BUSINESS TODAY

SESSION 1: WHAT IS DEEP LEARNING
  • Using a neural network with several layers
  • Shallow and deep learning
  • Recurrent Neural Networks
  • Convolutional Neural Network (CNN or ConvNet)
  • Generative Adversarial Networks

SESSION 2: DEEP LEARNING APPLICATIONS IN BUSINESS
  • Using visual observation to determine a medical diagnosis from a picture
  • Experimenting with TensorFlow Playground
  • The artificially intelligent organization

SESSION 3: DEVISING A SUCCESSFUL DEEP LEARNING STRATEGY
  • Middleware for the cognitive era: deep learning frameworks
  • Leveraging TensorFlow to apply deep learning in your organization
  • Devising the strategy to move the organization forward

SESSION 4: THE FUTURE OF DEEP LEARNING
  • The most promising artificial intelligence method today
  • Why unsupervised learning will become far more important in the future
  • Room for improvement in deep learning



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Hotel ICON

17 Science Museum Road

Kowloon

Hong Kong

View Map

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