Transforming Banking with Machine Learning and AI 

Explore how Kubeflow can be applied to solve the technological and business challenges facing the banking and financial services industries
See Kubeflow in Action
Kaggle’s G-Research Crypto Forecasting Competition
Use predictive analytics to predict price movements in crypto ahead of time – a Kaggle project
Use Case: Cryptocurrency, Prediction
Sponsors: G-Research
Technology: Kubeflow, Kubernetes, Docker, Python, pandas, tqdm, lightgm, talib-binary
American Express – Default Prediction
Develop machine learning models that can effectively predict credit defaults using a large-scale industrial dataset from American Express – a Kaggle project
Use Case: Financial Services, Prediction
Sponsors: American Express
Technology: Kubeflow, Kubernetes, Docker, Python, pandas, scipy.stats, lightgbm, StratifiedKFold
Explore use cases pertaining to Financial Services where machine learning is being used to solve complex business problems:
Financial services institutions are adopting AI/ML solutions to gain a competitive edge in this changing financial services market. Customers are pushing institutions to provide services in all forms of banking with the need of speed. Understanding needs in the marketplace and to refine processes to make quicker decisions smartly allows Financial Services institutions to generate maximum value and retain customers.
Risk Management

Risk Management is not just compliance. Powering every operational task, financial services institutions need to Build, Secure, Validate, Monitor models taking into account volatility while predicting patterns, anomalies and correlations in huge data sets within the banking systems. 

Fraud Analysis
Efficiently analyze huge transactional data at scale with accuracy and predict with accuracy transactions that are abnormal. Predicting fraudulent behavior and helping prevent these transactions from flowing through, helps institutions with providing better service and lower the impact to its bottom line.
Stock Price Prediction
Use machine learning to power models that can predict patterns and changes to pricing based on several real time factors and historical data. Outcomes can help institutions to initiate beneficial trades based on set customer risks at precision in a timely real-time manner. Use of ML powered models can deliver better results.
Customer Support
Predict customer behavior and interactions with powerful insights to win customers throughout the Omnichannel Banking Experiences. Customer journeys can be understood at mass and complex fractured customer experiences can be handled with accurate solutions to enhance the customer experience.
Product Recommendation
Meet customers’ high expectations by scaling personalized experience throughout the Omnichannel Banking Experience. Drive ROI, satisfaction targets and retention rates by understanding customer journeys to unlock patterns at scale; while designing and automating campaigns that deliver offers and rewards that meet individual customer needs.
Evaluation
Machine learning models can be used to evaluate creditworthiness of customers taking into account payment history and patterns by credit scoring while making lending decisions. Models can be built taking into account several banking factors and evaluations can help relevant teams to make decisions quickly.
Operations
Streamline operational tasks of inputting customer data, payment processing, data retrievals and information extraction by using ML models. Information verification, classification and processing can be done at scale allowing financial services institutions to better utilize labor on building customer satisfaction, drive ROI and lower costs.
Real Estate
Use geospatial data analytics to identify critical new prospective locations and where to upgrade existing assets based on customer location, competitor presence, market preferences to optimize business outcomes.
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Check out the growing list of banking and financial services companies using Kubeflow in production
Goldman Sachs logo

Banking/Financial Services

Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world.

Nielsen logo

Financial Services

KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States.

Magicpin logo

Banking/Financial Services

Sopra Banking Software is the partner of choice for more than 1,500 financial institutions worldwide.

LTI logo

Banking/Financial Services

LTI is a global technology consulting and digital solutions company with operations in 32 countries helping more than 400 clients accelerate their digital transformations using LTI’s Mosaic platform.

lntinfotech.com

Banking/Financial Services

TatvaSoft offers software development services on diverse technology platforms, like Microsoft, Java, PHP, SharePoint, Biztalk, Open Source, Big Data, BI, & Mobile.

tatvasoft.com

IND money

Banking/Financial Services

INDmoney is a Super Money App that brings all your family’s finances to one place. The Mobile App automatically organizes your finances, helps you plan your goals, and uses machine learning to help you save and invest at Zero commissions.

indmoney.com

cipio logo

Banking/Financial Services

A global leader in technology for banking, insurance and financial services addressing the needs of over 250 financial institutions in 30 countries.

intellectdesign.com

Financial Services

An organization on a mission to deepen and power the $120 Trillion global enterprise debt market.