The Fintech world has always been about disruption. Whether it’s payments, investments, lending, capital markets, wealth management or personal finance, the world of fintech is driven by innovation, and AI and machine learning are the latest tools in the arsenal of top performing fintech companies. From growing revenues, expanding customer bases, reducing churn or managing risk and efficiencies, AI and machine learning provide powerful tools for the top fintech companies in the world.
Overview
AI Automation for Fintech
The AI Driven Fintech Company
Fintech companies leverage technology to disrupt traditional markets and players. The use AI and machine learning is no exception. dotData helps Fintech companies get the highest return on investment from their AI and machine learning investments by automating 100% of the life-cycle of the data science process.
Machine learning and lending in the world of Fintech are nearly synonymous. Fintech companies leverage machine learning and AI daily across the entire lending value chain. From enabling smarter underwriting decisions to improving processing times between lenders and consumers, AI models can help fintech organizations manage customer churn, identify new target customers, and more. dotData’s 100% automated machine learning and data science automation platform helps fintech lending companies make faster and better decisions with fewer resources.
Fintech has allowed for greater flexibility and freedom in the movement of capital on a global scale. Businesses and consumers can participate in global markets as they have never been able to before. Fraud and payment problems, however, remain a challenge. dotData’s 100% automated machine learning & data science automation platform allows fintech companies to build predictive models for everything from identifying transactions that require the “human touch,” to identifying bad payments and potential fraud before suffering lasting damage.
Lowering the barrier to investment vehicles by replacing, or minimizing the need for personal wealth advisors have allowed fintech to make significant inroads into the world of wealth management. Machine learning can provide fintech companies a huge advantage by enabling companies to use AI and machine learning to model portfolio scenarios, identifying areas for automation, and facilitating the creation of robo advisors that can interact with clients in an automated, proactive way.
dotData’s 100% AutoML and data science automation platform allows companies to leverage AI and ML opportunities without having to make massive investments in data science practices.
AI and From identifying fraud, identity theft, cyber-attack, and illicit blockchain transactions, dotDataa’s 100% automated machine learning platform allows blockchain companies to rapidly build models to address multiple use cases in near real-time.
AI and Machine Learning Fintech Use Cases
Fraud Detection
Lower operational costs by identifying abnormal financial behaviors and modeling high-risk scenarios before they impact your bottom line.
Through accurate prediction of potentially fraudulent activities, fintech companies can lower operational costs while still providing a high level of care and customer experience for high-value clients. dotData helps you automate the process of building models with a 100% automated solution that reduces development times from months to days.
Financial Analytics
Fintech companies can leverage machine learning and AI to conduct an in-depth financial analysis of a multitude of use-cases.
Predictive analytics models can assist with identifying the hard to detect use-cases that could have the highest potential value to the organization. dotData helps accelerate development efforts and lower operational costs by allowing you to leverage existing data analysts and business analysts to implement higher-value analytics processes.
Expense Reporting
Fintech companies rely on “lean and mean” business processes and accounting models to provide the best possible services without incurring the higher costs of traditional financial services providers.
dotData can help fintech companies deploy AI and machine learning models that will identify inefficiencies and help build accelerated processes that increase customer satisfaction and lower operational costs.
Credit Lending & Scoring
Fintech companies need to identify high-risk clients well before they become a problem.
AI and machine learning are well-established methods of creating profiles and use-cases that can help identify potential trouble spots in both business and consumer lending. dotData can help accelerate this process through a 100% automated data science platform that shortens development times from months to days.
Wealth Management & Advisory Services
Whether it’s to develop robo-advisors that monitor client accounts and provide “on-demand” advice or to automate portfolio management services to reduce processing times and increase efficiencies, AI and machine learning can provide significant benefits quickly.
dotData helps accelerate the process by allowing fintech companies to develop sophisticated models quickly and by integrating production-ready models with AI development environments to adjust models based on actual usage and results.
Regulatory Compliance
Build AI and machine learning processes that scan regulatory texts and identify potential problems quickly and before they become a hindrance to your business.
dotData’s 100% automated data science platform can help fintech companies build sophisticated models that can make sense of spreadsheets with billions of rows of data or pages with tens of thousands of words, where human beings would not even be able to know where to begin.
Debt Collection
Debt collection can be a slow and painstaking process, even for the most automated organizations.
Machine learning and AI can help fintech companies create models to asses risk before debt becomes a problem, and to help expedite the process of collection by analyzing past behavior. dotData helps automate the process with a 100% automated platform that can help reduce AI and machine learning development times to days instead of months.
CASE STUDY
How Sticky.io Recovered $8M Per Month in Transactions Using AI
Download our case study to learn how dotData client Sticky.io leveraged the power of end-to-end AI Automation to build a smart-dunning process in less than 60 days.
READ THE CASE STUDY TO LEARN:
How stiky.io recovered $8M/month using AI automation
Why traditional AutoML did not make the cut
Why dotData’s AI-powered feature engineering was critical
The Right Product for the Right User
Start by selecting the product you need, based on your environment, your use-case and your need to “get dirty” with the details of your data science workflow.
dotData Enterprise:
AutoML 2.0 & Data Science Automation
Leverage a full GUI experience to automate as much of your data science workflow as necessary. Empower citizen data scientists and data scientists alike.
dotDataPy:
AutoML 2.0 in a command-line
Leverage a rich and scalable Python library that enables you to perform end-to-end data science tasks with just a few lines of Python code.
How dotData Helps Fintech Companies
Fintech companies are all about flexibility and speed. dotData helps boost this focus on productivity and speed by providing an AI and machine learning development platform that shortens development cycles dramatically.
Chief Data Officers
Get projects out of the lab
AutoML and data science automation can shorten development life-cycles for data science projects to days instead of months. By automating the work that happens before your data science team begins to optimize machine learning algorithms, dotData can take projects that once took six months and complete them in days. Whether it’s performing the “data hacking” necessary for ML, or automating the tedious work of feature engineering and machine learning model tuning, dotData can help.
Chief Data Scientists
The tools your team loves, without headaches
If your data science practice is like that of most fintech companies, it’s either under-resourced or over-tasked – or both. dotData helps accelerate the process of data science by automating the tedious tasks associated with data wrangling and feature engineering, the most prolonged and most painstaking parts of the machine learning development life-cycle. With dotData, your team can focus on results rather than on the slow process of developing features.
Chief Information Officers
Data science without the headaches
When more than 96% of data science projects never leave the lab, the pressure to deliver on AI and machine learning projects can grow exponentially. Part of the solution is to provide your data science team with automation and acceleration tools they will use. The other answer is to enable an entirely new class of “citizen” data scientists to handle the 80% data science projects that consume precious resources but provide lower value. dotData can help with both by offering platforms that can automate data science for your business analysts while delivering your data scientists tools they will use.
AutoML 2.0: Data Science Automation Accelerates Your Business
Scaling a data science practice is challenging, time-consuming, and expensive. With Automated Data Science, you can empower data analysts, software engineers, and BI professionals to build and benefit from predictive models. Through Data Science Automation, you can embed models into applications seamlessly, while freeing up the time of your data science team to be more productive.
BI & Data Analysts
Unlike traditional AutoML systems that require users with in-depth knowledge of data wrangling and constructing feature tables, dotData automates 100% of the data science process. With dotData and minimal training, your BI team and data analysts can quickly learn to contribute to your ML and Enterprise AI initiatives, freeing precious resources and accelerating time to market for your AI & ML initiatives.
Data Scientists
Data scientists spend 80% of their time in wrangling with data and constructing complex feature tables. By automating the entire workflow, you can liberate your data science team from the mundane tasks associated with data science and give them the power to provide tangible value to your business in a scalable, seamless manner that is not possible with hand-coded approaches or traditional AutoML platforms.
IT & Software
Integrating your AI and Machine Learning models into production environments is a crucial step in deriving value from your Enterprise AI projects. dotData gives your IT and engineering teams a seamless API-based integration model that enables Continuous Deployment and makes deploying and maintaining models fast and straightforward.
Executives and Line of Business
Giving executives and line of business leaders insights into the Machine Learning and Enterprise AI process provides the transparency and line of sight needed to keep projects moving and provide discernible ROI and value for the organization.