Artificial Intelligence is the ability to rationally act and think. Applied AI is achieved when one can think and act/react in daily business. Artificial Intelligence has invaded everywhere both in personal and business life. It achieves pleasing 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 course, the essential concepts of artificial intelligence are being demonstrated as well as how and when to employ them. Machine Learning (ML) is one of the most popular applications of Artificial Intelligence (AI), and it is currently sweeping the globe, allowing computers to do tasks formerly performed by humans.
It bridges the gap between market buzz about Big Data and business realities. It documents real-world usage and ROI of Big Data, delineates successes and failures of Big Data, and the reasons for both. It discusses the pros and cons of various organizational structures for Big Data and Analytics teams. In short, the course peels away the complexities surrounding Big Data, boiling it down to the essence that managers need to know to make optimal decisions about the use, resourcing, risks, and value of Big Data
At the end of this course the participants will be able to:
Develop necessary AI and Understand how to plan and analyze using logic
Explain how to imitate human in clustering and classification
Understand how to design a Machine Learning based applications
Analysis and Design AI Applications and Identify the key products in the big data platforms and describe their functional role.
Describe the concepts of big data and Identify the business implications of big data for an organization.
Describe the role of Hadoop and its use in the Big Data platform and the concepts of big data.
Identify the business implications of big data for an organization and describe their functional role.
Develop a deeper understanding of what big data means to your organization.
Walk away with more knowledge about the role of the platform and its components, including NoSQL Database, Hadoop Distributed File System, Data Mining, and Big Data Connectors.
Quality, Safety, Reliability and Security officers
Project Managers and Executive Managers
Marketing Managers
Instrumentation, process, systems, electrical and mechanical Engineers
Finance, Budget-planner, Decision takers and Policymakers
Programming for problem-solving
Application-based programming with Python.
OOPS, using JAVA.
Data Structures using C.
Database Management System.
Pattern Recognition.
Computational learning theory.
Business Analysts.
CIO/CTO.
Configuration Consultant.
Data Center Manager.
Database Administrators.
IT Director.
Systems Architects.
Introduction to AI and Success Stories
Human Intelligence vs Artificial Intelligence
History of AI, Intelligent Agents and Their Roles
Limits of Artificial Intelligence
Intelligent Decision Making
Introduction to Agents
Different Types of Agents
Knowledge-base and Database
Logic Reasoning
Unification
Deduction Processes
Supervised and Unsupervised Learning
Classification and Clustering
Artificial Neural Networks
Learn by Examples
Object Recognition
Features and Classes
Introduction to Fuzzy Thinking
Fuzziness vs Probability
Fuzzy set and Fuzzy Rules
Importance of Fuzzy logic and A real example of Fuzzy Controllers
Building a Tiny Machine Learning Application
Overview of Genetic Algorithms
The Need for Optimization, Maximization, and Minimization
How GA Work and Evolve
Genetic Algorithm Chromosomes, Genes, Selection, Mutation, and Crossover
Dimension to Use Genetic Algorithm
Real Genetic Algorithm Examples to Optimize Business Processes
What is Big Data?
Business Challenges and Getting Fast Answers to New Questions.
Industry Examples.
Building Your Big Data Strategy.
A General Look at Big Data Systems.
Big Data Solution.
NoSQL Database Hadoop.
Distributed File System.
In-Database Analytics Platform.
What is a Key-Value Store?
Why Would I Need a NoSQL Database?
Using NoSQL Database to Run a Website.
What is Hadoop?
Interacting with HDFS.
MapReduce.
Using Hive to Transform Data.
Big Data Connectors.
Data Integrator Working on Hadoop Data and Transforming Data in ODI.
Using Advanced Analytics to my Data:
Mining Database Data with R Enterprise and Mining Hadoop Data with R Connector for Hadoop Creating.
Because supervisory levels are the link between the executive and senior management levels, achieving the organization's objectives, increasing productivity and overall performance of the organization, affects the effectiveness and efficiency of supervisors' performance.
And because of the skills of supervisors in any organization in need of continuous development, and to acquire advanced tools and methods that reflect on the deepening of these skills and activate their role in motivating individuals working, and push them to commit to the goals of the organization.
You need this conference to learn about supervisory skills and advanced methods, to be able to play an effective and supervisory role in your organization.
In every organization, care is taken to manage risks, by seeking to eliminate those that can be removed, and reducing and managing the remainder. Part of this process involves developing robust contracts which apportion risk equitably and include a structure of indemnities with contractors, supported by a comprehensive insurance regime. In addition, it is important that contract personnel understand contractual risks and what insurance can (and cannot) do to remove the financial consequences of such risk; always remembering that insurance only mitigates the effect of risk, it does not make the risk itself go away.
A truth about life is our interdependence. Everything we accomplish within an organization is through the efforts of people working together. In spite of our technological advances, our competitive advantage lies in our ability to work effectively with other people.
This course is designed to provide leaders and professionals with a set of transformational tools and techniques to help them maximize their own and their team’s creative potential in a strategic context. Its starting-point is self-discovery: participants will work on the inside first and then focus outwards to impact on the world of business.
A company plan gives the entire organization a vision and a course to follow. All employees inside a corporation must have distinct objectives and adhere to the organization's direction or mission. This vision can be provided by a strategy, which also keeps people from losing sight of the objectives of their organization.
Inspirational leadership is a highly creative and intrinsically interpersonal activity to which people positively respond. As a leadership style, it demands that leaders employ their strengths with effect, where behaviors and values are paramount and where trust is established. This structured program seeks to explore the personal traits that make leaders inspirational in the context of their organization's strategy and culture. It offers a learning experience in which tools and techniques are employed to build leadership capability and a strategic response to the challenges of the role.