You’ve heard that in the near future, machines are going take away all our jobs. This is not exactly true as machines are actually here to amplify the efficiency of our Organizational Processes. This course was introduced by The Rise Labs by Rise Networks to help young professionals gain new knowledge about concepts of Artificial Intelligence and embrace it as a new tool to drive growth within the Institutions they serve. Andrew Moore in very simple terms, Artificial Intelligence can be defined as the science & engineering of making computers behave in a way that until recently, we thought required human intelligence.

Facilitating the course in the front of a very eager and knowledge seeking audience from diverse backgrounds and broad industry demographics were Tejumade Afonja, AI engineer at Instadeep and Emeka Okoye, Founder of OpenDataNG.

The facilitators had two separate sessions with a Lunch and Entertainment Break in between.

Tejumade Afonja discussed what Artificial Intelligence was, how to get into the space especially within emerging economies and the importance of real life application of AI within our systems. She pointed out that “the goal of Artificial intelligence is to build a machine that can think and act like humans”.

Participants learnt that they needed to know what problems they’re trying to solve with Artificial Intelligence as that should be the starting point. In response to a question as to how long it takes to be an expert in the field, she said “there really isn’t any time frame as people learn at different paces but the good news is that it is never too late to get started in learning Artificial Intelligence.

She also taught the class Machine Learning, discussing the 3 types of ML; Supervised learning, unsupervised learning and reinforcement learning. Practical applications of ML can be found in things like facial recognition, chatbots, targeted advertisements e.t.c.

In relation to the business or entrepreneurial space her advice was “If you don’t know how to use AI at all in your business, examine how your competitors are using AI”, before going further to explain that AI is being applied to entire spectrum of work, from things like security to healthcare.

She ended her class by answering questions and suggesting websites where participants can learn more about Machine learning and Artificial Intelligence, including Udacity, Coursera, EdX etc, as well as AI Saturdays that she founded.

The second session was taken by Emeka Okoye with more emphasis on data and how it drives Artificial Intelligence and Machine learning.

 

He defined data as “how we express observations in reusable form. Data is anything that your 5 senses can perceive”. It was impressed on participants that data is very important because “Data helps you make better predictions about the future” and that “Data lies at the core of Artificial Intelligence. Without data, there’s no Artificial Intelligence” as Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

He also had a message for leaders and their understanding of AI to improve their decision making, he said leaders should:

1. Have a broad level understanding of AI and how it’s better than the traditional way.

2. Realize AI’s limitations and expectations

3. Identify how the technology can be leveraged to aid customers.

The class ended with the participants sharing their exciting feedback about the 2 sessions and how confident they are now, going forward in their knowledge of AI and Machine learning. They networked with the facilitators and with other participants present after which they were presented with their Certificates of Course Completion.

Kai-Fu Lee, former President of Google AI China has opined that Machines will do the analytical thinking, while humans will wrap that analysis in warmth and compassion. This course content and methodology helped emerging Executives, Entrepreneurs, Corporations and Governments latch on to the global trends in AI, Machine Learning and other frontier technologies to strengthen their internal control systems and scale up growth.

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