Financial Institutions are under siege from Fintech companies, who are quick to effect change than the larger financial institutions, however the mainstream FI’s have deeper expertise and more data, and they can win by harnessing the power of artificial intelligence (AI) and machine learning to reduce costs, increase revenues, and more efficiently comply with regulations.
Banks that have huge amounts of data have struggled over the past years with tracking transactions in real time. Getting data in place to be able to track transactions at low latency would not only give the banks a better view of their customers, it would also give them the dataset required to apply AI and deep learning in order to provide personalised, value-added products to customers as it learns about spending habits over time.
AI applications can produce a number of business security and privacy issues which will have to be addressed. Neural Network, Natural Language Processing, Image Recognition, Speech Recognition, and Sentimental Analysis techniques are Deep Learning techniques used in Banks and Financial Services.
The 2nd Annual AI in Finance Conference will provide insights and potential solutions to address AI issues from well-known experts and thought leaders through panel sessions and open Q&A sessions.
Speakers will showcase successful industry vertical use cases, share development and administration tips and share insights with delegates about how best to leverage AI as a key component in their enterprise Business.