Predictive Analytics in Finance with AI

The emerging AI technology is offering autonomous systems, cybersecurity, automation, RPA, and many other benefits to multiple industries across the world including changing the Finance industry. AI has allowed banks to handle massive amounts of data and draw conclusions due to their ability to evaluate real-time trends. It has the potential to provide personalised financial advice in portfolio management, help banks identify new revenue streams and even make lending decisions by analysing and predicting a borrower’s creditworthiness. For companies looking to increase their value, AI technologies such as machine learning can help improve loan underwriting and reduce financial risk.

Join us in this one-day course to discover the powers of AI when making more data-driven and informed decisions in the field of finance. Learn interactive and automated tools to provide statistical and computational support 24/7 in the finance industry.

• Understanding the concept of Machine Learning and AI-related functions such as Natural Language Processing, deep learning, supervised VS unsupervised learning, etc
• Explore algorithms and analytical models in circumstances like forecasting time series
• Discover cases of AI implementation in finance through case studies
• Understanding the concept of predictive analysis in finance
• Learn how AI can identify patterns of fraudulent activities and flag suspicious transactions for further investigation
• Discover how AI adoption affects an organisation and provide solutions that is capable of changing the world

Businessmen, marketers or investors who seek to understand how AI can be used to streamline logistics processes to generate useable and trustworthy data to generate value are welcome. This course is meant for beginners, no coding/programming or computer science background required and those without any knowledge of data are also welcome.

Dwight Fonseka is the Head Data Analyst at Plano, the world’s first science-based parental control application and an Adjunct Lecturer at the London School of Business and Finance. His interest in the area of data developed sometime in 2014 when he ventured into data analytics and database management. 7 years later, he has achieved an impressive skill set in data. This includes advanced statistics, big data analytics, cloud computing, neural networks, R programming, python programming, business analytics, data storytelling, and more. Dwight has a Masters in Education (Curriculum & Teaching), a Microsoft Certificate of Achievement (SQL), and an Advanced Certificate in Learning and Performance (ACLP).