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Duration: 2 days

Training type: classroom or online

Language: English

Price: 20.000$

General information:

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.

This program focuses on practical applications of artificial intelligence for business using TensorFlow, the most widely-used deep learning framework from Google. Deep learning is already impacting every part of business today; in fact, PwC has warned that automation could replace 38% of all American jobs by 2030. Deep learning will continue to be a rich source of insights from ever-growing data sets being evaluated by powerful algorithms, enabling companies to make better decisions.

The Executive Artificial Intelligence / Deep Learning Workshop 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 (2-DAY PROGRAM):

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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