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Saylent Engage enhances targeting capabilities with Faraday AI

Faraday is pleased to announce a new partnership with Saylent, a software provider that interprets bank and credit union data to help them better understand their customers and discover opportunities for growth. Saylent’s mission aligns nicely with ours: to help consumer-facing businesses optimize their growth initiatives by bringing data science out of the lab and into the real world.

At the foundation of our partnership is the integration of our platform with Saylent Engage, their product that provides tools to increase customer engagement, and in turn, revenue for financial institutions. The native integration will enhance Engage’s predictive capabilities with a combination of Faraday’s third-party consumer data and advanced machine learning capabilities.

partner-saylent-together

“There has never been a more important time for financial institutions to understand their customers and provide them with the right solutions when they need them. Combining Faraday’s AI-driven predictions with the strength of Engage’s targeted insights and actions will allow our clients to quickly gain a deeper understanding of key customer segments, increasing customer engagement and institutional growth through relevant communications." - Joe Mearn, Director of Product, Saylent.

AI-driven predictions (propensity to increase deposits, purchase specific products, churn, and more) will be embedded into Engage, enabling users to reach new segments of targeted customers with relevant messages and offers. These predictions are the product of machine learning models that train off of multiple terabytes of consumer data found in the Faraday Identity Graph and behavioral data captured by Engage.

Saylent Engage

“In an age where big banks have whole floors dedicated to data science, regional banks and credit unions need to find a way to leverage AI to deepen customer and member relations. Our partnership with Saylent will empower every financial institution regardless of size to do just this.” - Robbie Adler, Co-founder and Chief Strategy Officer at Faraday.

By incorporating the Faraday models and predictions into Engage, Saylent’s clients will now have the ability to gain a deeper understanding of their customers and predicted behaviors, allowing them to take action with better results. This expands the power of Engage to not only provide insights based on behaviors already taken, but to also highlight opportunities that would be unknown by analyzing transactional history alone.

Live demo at FinovateFall 2019

finovatefall and faraday

Faraday is excited to present a live demo on the main stage at FinovateFall 2019. With over 75 live demos, upwards of 120 speakers, and an impressive AI Summit, how you're leveraging data and machine learning to grow and market your financial solutions is a hot topic this year.

As the fintech space continues to evolve, delivering relevant, personalized experiences at scale is crucial to winning and retaining valuable customers. We're excited to showcase how Faraday can help you reach lookalike audiences across your online and offline channels, prioritize and personalize nurture campaigns in real time, deliver relevant product recommendations at every touchpoint, and proactively re-engage churn-prone customers.

If you're heading to FinovateFall this year, make sure to catch our live demo and stop by our booth for a deeper dive into the platform.

Interesting sessions on data and AI

With so many innovative minds presenting this year at FinovateFall, there are a few sessions we have our eyes on.

Faraday helps companies optimize consumer outreach and engagement across the customer lifecycle with AI-driven insights and predictions. Our end-to-end machine learning platform integrates with your customer data sources, learns from past successes and failures, and delivers powerful predictive insights to all your marketing and sales systems.

Finovate is a global conference series focused on financial services technology. Held in six locations — London, San Francisco, New York, Singapore, Dubai, and Cape Town — it offers live product demos, fast-paced content, and high-impact networking. The event is organized by KNECT365. For more information about the events or to view videos of previous demos and presentations, please visit finovate.com.

A big takeaway from the Symitar Fintech Panel on Practical AI Use Cases

I recently participated in the Fintech Panel on Practical AI Use Cases at the 2018 Symitar Educational Conference (SEC). It was great to see that there's a lot of excitement about AI and how it's being used by credit unions and other consumer finance organizations.

On top of that, Jack Henry did an amazing job of organizing the panel, providing valuable insights to attendees in varying stages of AI adoption by bringing together participants from companies operating in very different areas of the field.

  • Infosys consults on large-scale AI projects, helping credit unions and banks develop complex, in-house capabilities to be applied across numerous business functions.
  • Clinc specializes in advanced conversational AI, helping banks develop, train, and deploy superior conversational AI solutions.
  • Faraday, yours truly, specializes in AI-powered customer lifecycle optimization, helping credit unions, banks, and fintech platforms better understand their consumers, personalize experiences, and improve member interactions from acquisition to retention.

The big takeaway

We covered a lot, but the biggest concern in the room was how credit unions with little to no experience with AI can operationalize the right solutions quickly.

There are seemingly endless ways AI is being used by innovative consumer finance organizations. Every day, we're hearing about new, creative ways organizations are applying data science and machine learning to extract more value from their data. Frankly, it can become overwhelming for credit unions that are just getting started.

You're not going to transform every process with AI overnight (or even over the next year). Start with one or two solutions that are relatively easy to implement and will yield significant results in the short term.

If you're considering using AI to draw deeper member insights, personalize experiences, and optimize outreach, Faraday can get you up and running in 6-8 weeks. Here are a few ways to get started:


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