DataStax highlighted ANZ Bank and Bud Financial as a global use case for generative AI at Google Cloud Next.
Bud's platform, constructed using the DataStax AI Platform and NVIDIA AI, was spotlighted in Google Cloud's presentation for its role in aiding ANZ Bank with enriching customer data, speeding up decision-making, and advancing customer experience across vital sectors of the bank's operations.
Bud Financial employs the DataStax AI Platform, alongside NVIDIA technologies such as NVIDIA NeMo Retriever, NVIDIA NIM microservices, and NVIDIA AI Enterprise. This solution enhances customer experiences while accelerating processes by a factor of ten. Bud's proprietary large language models (LLMs) are trained on NVIDIA's accelerated computing, aiming to integrate seamlessly and provide cost-effective, accurate financial insights.
Ed Anuff, Chief Product Officer at DataStax, remarked, "AI is reshaping financial services, and Bud Financial's work with ANZ is a strong example of how AI-driven data solutions can improve both operational efficiency and the customer experience. The combination of Bud's domain expertise, NVIDIA's acceleration capabilities and our real-time AI platform is helping one of the region's largest banks scale with confidence."
Bud's technology enhances customer transaction data, supports personalised financial tools, and aims to refine the lending process's efficiency. Utilising the NVIDIA Triton Inference Server and DCGM Exporter, the platform has demonstrated measurable reductions in latency and cost in comparison to traditional CPU-based systems.
Jakub Piotrowski, Vice President of Product at Bud Financial, explained the management of complex transaction data through Astra DB. He stated, "Astra DB's scalability and its ability to handle massive workloads, coupled with Google's Vertex AI platform and Gemini, is helping Bud's banking and financial institution customers understand their user much better."
Alongside these customer success stories, DataStax was announced as a contributor to Agent2Agent (A2A), an open protocol developed by Google Cloud. A2A facilitates the communication and collaboration of AI agents across enterprise settings, aiming to foster interoperability among AI systems developed by various vendors.
Supported by over 50 leading technology partners, the A2A initiative addresses a notable challenge for businesses by enabling intelligent agents to function across different systems without being confined to a single ecosystem. The protocol is designed to enable secure information exchange and action coordination across diverse enterprise platforms.
Anuff commented on DataStax's involvement, saying, "DataStax is excited to be part of A2A and explore how it can support Langflow, representing an important step toward truly interoperable AI systems that can collaborate on complex tasks spanning multiple environments."
DataStax will collaborate with technology and service partners, including Atlassian, Box, Cohere, and others, to drive forward this AI interoperability goal.
Their AI platform, supporting agentic architectures, was exhibited at Google Cloud Next, demonstrating potential applications for developers and enterprises aiming to create scalable, secure, and high-performance generative AI solutions.
