Artificial Intelligence (AI) for Professionals

Introduction

This GLOMACS Artificial Intelligence (AI)for Professionals training course presents a synthesis of experiences within the organizations which have implemented Artificial Intelligence and data analytics, data science. Artificial Intelligence has invaded everywhere both in personal and business life, and the more it is used the easier it is for the people to get accustomed to using it effectively within their work environment.

It achieves excellent results without costing excess effort or money. It is a must now to know how wisely to manage business operations and be able to deliver them in the most optimized and efficient fashion.

In this training course, the essential concepts of artificial intelligence are being demonstrated, as well as how and when to employ them, which is designed to develop the insight of the participants on Artificial Intelligence, understand the theories of Artificial Intelligence and help them to know how to solve real-world problems using artificial intelligence.

The delegates attending this training course will learn how to apply adequate tools and techniques of Artificial Intelligence and Data Analysis and acquire adequate value for money without wasting efforts and developing a data analysis and scientific-based management culture together with implementing modern tools and techniques.

This Artificial Intelligence (AI) for Professionals training course will highlight:

• The role of a leader in the success of AI and analytics
• The systematic way to understand what is going on with data in the enterprise
• Active participation of leaders in AI and analytics
• Leader role in transforming the organization to adapt and change
• How to lead the organizational changes needed in people, data and systems, culture, and structure

Objectives

At the end of this Artificial Intelligence (AI) for Professionals training course, you will learn to:

• Identify the best analytics strategy for the organization
• Learn the critical time—and opportunity— for change with the use of AI
• Understand the business value of the data analysis and AI implementation
• Implement analysis and scientific decision making, and embed the AI tools in your business
• Adopt the four stages of analytics in organization

Training Methodology

This training course will utilize various proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes examples of digital transformation strategies, issues and risks related to digital transformation, implementation examples and the tools, techniques as well as tips and tricks of digital transformation implementation.

Organisational Impact

The organizations will create the right high-stakes decisions and invest in supporting Artificial Intelligence tools and organization-wide implementation of Artificial Intelligence, for business unit or division leaders who want to drive results through specific analysis initiatives, and for rising leaders who want to craft strategies and tactics to create real impact by the use of data analysis.

Organizations will greatly benefit from:

• Identifying a path for any leader who wants to gain capability and confidence with analytics and AI.
• Accepting analytics are not just the domain of data scientists or specific departments,
• Understanding that to use analysis and AI effectively in your organization,
• Implement and improve critical thinking skills,
• Lead analysis-driven business initiatives with greater skill and confidence
• Leaders which create organizational culture and structure for data analysis.

Personal Impact

Delegates will therefore acquire a working knowledge of Artificial Inteligence and its implementation within enterprises, which can significantly improve their opportunities in carrier growth and improvement of their working activities and day-to-day work.

Delegates will greatly benefit by:

• Identifying a path for any leader who wants to gain capability and confidence with analytics
• Understand where analysis can add value in organization
• Identify what good analytics are and what to avoid
• Enhancing their capabilities to lead the teams
• Improving their knowledge on data science and project management in the digital world