New Way Now: How Apex fuels frictionless investment with Google Cloud

Channel:
Subscribers:
296,000
Published on ● Video Link: https://www.youtube.com/watch?v=oJKthIwsgTk



Duration: 0:00
333 views
17


Summary: Daniel Gicklhorn, VP of Product at Apex Fintech Solutions, shares how Google Cloud is helping the market-leading fintech provider enable seamless access, frictionless investing, and investor education for all. With Google Cloud, Apex created a strong data foundation for its bespoke investing and wealth management tools, empowering its clients to build and scale their investment products efficiently.

Challenge: Apex Fintech Solutions offers a suite of scalable solutions that fuel innovation and evolution for hundreds of today’s market leaders, challengers, change makers, and visionaries. Its digital ecosystem creates an environment where clients with the biggest ideas are empowered to change the world through its Apex Clearing™ , Apex Advisor Solutions™ , and Apex Silver™ brands. But cloud innovation in financial services brings a lot of complexity, particularly when it comes to retaining data and maintaining high levels of operational resilience. With 20 million accounts on its platform, Apex wanted to provide accessible, scalable, and durable data environments that enable its clients to quickly build and launch investment products — all while meeting a wide range of customer needs, expectations, and requirements.

Solution: Using BigQuery, Looker, Google Kubernetes Engine, and Google Cloud’s managed service for Apache Kafka, Apex is building powerful data solutions and tools within its platform that empower its clients to innovate faster. With the ability to build new data pipelines at scale and quickly bring them to market, Apex can serve up modern data experiences and advanced analytics that make it even easier for clients to access the data and insights they need to deliver their own products. In addition, Apex now has a strong data foundation to start exploring AI opportunities, such as generative AI, to make financial investment more accessible and understandable for everyone.

Result: With Google Cloud, Apex now has confidence that it can deliver the next-generation data and AI capabilities that it needs to achieve its mission of becoming financial infrastructure that its clients can rely on and trust.

Interview highlights and key takeaways from our interview with Daniel Gicklhorn, VP of Product at Apex Fintech Solutions:

→ “Our focus has been to democratize investing. We've been able to leverage both the Google team, but also the tools that have been built out through BigQuery, that have been able to get us to market quickly. Google's data platform is really high scale, so we can very quickly take things to market and build new pipelines within the platform.”

→ “Working with many types of customers in a cloud environment is challenging. Everyone has their own needs, perspectives, and scale expectations. In the past, if they wanted to create a new report, there was orchestration for us to work with them. Today, they can pick off the shelf through Google Looker, actually creating that experience themselves.”

→ “The opportunity for gen AI to help bridge the gap with new investors, to help bridge the gap on the advisory market, to be able to expose new models and predictive analytics to customers or to end investors — I do expect that to be a highly transformative part of the future of AI in the financial services market.”

Google Cloud products used: BigQuery, Google Kubernetes Engine, Looker, Google Cloud Managed Service for Apache Kafka

Learn more:

→ Apex Fintechttps://goo.gle/41NUU00U00




Other Videos By Google Cloud


2025-04-02Bud Financial creates new ways of working for financial institutions with Google Cloud and DataStax
2025-04-02Augment Code delivers better AI software engineering with Google Coud & NVIDIA
2025-04-01How to improve user identity with Firebase and Open Gateway Initiative (demo)
2025-04-01Nokia AVA: Gamified Energy Efficiency on Google Cloud
2025-04-01How to get the most value out of AI as a network-driven telco
2025-04-01How Google Threat Intelligence provides unmatched visibility into threats (demo)
2025-03-31New Way Now: Gymshark reduces data pipeline development time from weeks to days with BigQuery
2025-03-31Automate your network operations quickly
2025-03-31How Google Cloud and Amdocs are improving customer experience (demo)
2025-03-31New Way Now: Vodafone cuts gen AI deployment time to weeks with Vertex AI
2025-03-28New Way Now: How Apex fuels frictionless investment with Google Cloud
2025-03-28Gen AI databases: speed, scale and security
2025-03-27Vector-enabled databases: unlock semantic search!
2025-03-27How to develop AI apps easily using Gemini, Vertex AI, Firebase, and Flutter
2025-03-27Mobile Cloud for the AI Enterprise: Highway 9 & Google Cloud Solution
2025-03-27Google Cloud Mainframe Assessment Tool (MAT)
2025-03-27Public Sector customer montage subtitles
2025-03-27The Next Generation of Integration: AI Driven
2025-03-27Consolidate your networks using Google Cloud
2025-03-27How to manage AI at scale
2025-03-27How Google's Network is Powering the AI Revolution