Artificial Intelligence (AI) is a revolutionary technology that can learn on its own by analyzing and discovering patterns in massive amounts of (big) data. It is the theory and practice of building machines capable of performing tasks that seem to require intelligence. AI is simply about making machines and devices ‘intelligent’. Currently, cutting-edge technologies striving to make this a reality include Machine Learning (ML), Artificial Neural Networks (ANN), Deep Learning (DL) and so on.
Data Science, on the other hand, is a dependent domain, upon which AI domain is reliant. It is a field of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information and actionable insights with which guided business decisions are made. Data Science requires the usage of both unstructured and structured data. It uses complex Machine Learning algorithms to build predictive models. It involves extracting, analyzing, visualizing, managing and storing data to create insights. These insights help the organizations and corporations to make powerful data-driven decisions.
It is interesting to see how the combination of these two revolutionary technologies can pave the way for the next generation business processes. This workshop is therefore aims at providing essential skills and advanced knowledge in the fields of AI and Data Science, especially as they apply to business and government processes as well as other domains.
The workshop will provide a platform for developing expertise in applying AI and big data technologies for enhanced service delivery, robust market analysis, improved sales, reliable business decisions, efficient project management and responsible customers’ supports. It is expected that the workshop will alleviate existing challenges of organisations and guarantee business success.
Workshop Highlights
- Introduction to Smart Business Management
- Modern Artificial intelligent technologies
- Applications of Artificial Intelligence for smart business management
- Business Intelligence Analytics
- Data Science for prosperous business strategies
- Data Science for Smart Business Management
- Data Science Applications and Use Cases
- Smarter workflow management and process automation using AI Artificial Intelligence and Data Science
- Artificial Intelligence, Data Science and Cybersecurity
- Scenarios of convergence of Data Science and AI for organizational development and successful business
- Pragmatic implementation of responsible AI
- Responsible AI
Who Should Attend
Business Owners, Senior Executives, Industry Experts, Government Officials, Entrepreneurs, Chief Executives, Youths, Startups, Project Managers, Marketing Executives, Researchers, Developers, Lecturers, Policy Makers, Stakeholders, Directors, Managers of IT, Project Managers, Team Leaders, Project Team Members, Software Experts, Sales Managers/Representatives, Business Designers, IT Professionals, Project Office Staff Members from private and public organizations.
Resource Persons
Isah Salihu Kantigi
MD, SofTech IT Solutions and Services Limited
Isah Salihu Kantigi
MD, SofTech IT Solutions and Services Limited
Francis Atoyebi
Cofounder, HOFT Developers
Francis Atoyebi
Cofounder, HOFT Developers
On a 5-month internship experience with 11 Plc (formerly Mobil Oil Nig. Plc) in May 2018, he engaged in Data Analysis alongsides practical engineering endeavours. Later in 2018, he co-founded HOFT Developers — a group of young tech enthusiasts exploring Data Science, Artificial Intelligence and other emerging solutions such as Augmented & Virtual reality development for creative problem-solving. And by August 2019, he was part of the team invited by the Nigeria Economic Group to carry out analysis on large economic datasets in preparation for the Nigerian Economic Summit (NES) 2019.
Jeffry Boma Amachree
Oracle's Principal Technology Software Engineer
Jeffry Boma Amachree
Oracle's Principal Technology Software Engineer
Jeffry is leading the Nigeria field enablement and demand generation for Oracle Blockchain, Integration, and Augmented intelligence, supporting customers in their journey and a speaker on emerging technologies topics, bringing together his experience with conceptual models and customer cases. Over the last few years, Jeffry distinguished himself by successfully working closely with customers, incubators, as well as partners in supporting projects in the deployment of Conversational AI, ML and Blockchain.
He has received several awards and recognitions including Outstanding Innovation solution using emerging technologies like Blockchain and AI for real business scenario.
He has extensive experience in software development, devOps, Hybrid cloud, Augmented intelligence, Blockchain, Application Integration, and Data Integration.
Jeffry has 16+ years' experience in Information Technology and has played key roles in the development of leading software’s in Nigeria and across Africa.
Victor Odumuyiwa
Director, NITDA-HUB, UNILAG
Victor Odumuyiwa
Director, NITDA-HUB, UNILAG
Jagjit Dhaliwal
VP, Global CIO Industry Leader, UiPath
Jagjit Dhaliwal
VP, Global CIO Industry Leader, UiPath
On a 5-month internship experience with 11 Plc (formerly Mobil Oil Nig. Plc) in May 2018, he engaged in Data Analysis alongsides practical engineering endeavours. Later in 2018, he co-founded HOFT Developers — a group of young tech enthusiasts exploring Data Science, Artificial Intelligence and other emerging solutions such as Augmented & Virtual reality development for creative problem-solving. And by August 2019, he was part of the team invited by the Nigeria Economic Group to carry out analysis on large economic datasets in preparation for the Nigerian Economic Summit (NES) 2019.
International and National
Lecture, Demonstrations, Hands-On, Case Studies, Group Discussions, Individual and Group Exercises.
Participation Fee
Member: N55,000.00
Non-Member: N65,000.00
Early Bird (September 15, 2022): 10%