Harness AI for financial services IT
IT operations teams in the financial services industry face serious challenges. Customers expect a seamless experience across a complex landscape including online platforms, mobile devices, and ATMs. Competition is fierce. Technology evolution continually disrupts the marketplace. These factors create obstacles for the teams tasked with ensuring near-perfect service availability while continuing to innovate.
Streamlining operations and incident management can help financial services IT teams retain customer loyalty, modernize systems, and avoid regulatory penalties.
Advances in AI, machine learning, and AIOps offer solutions. According to Enterprise Strategy Group, 91% of ITOps leaders at financial institutions recognize that AIOps can consolidate siloed data formats.
The future of financial services IT
BigPanda Chief Innovation Officer Jason Walker recently joined the AI in Financial Services Podcast to discuss how leaders can utilize these innovations.
In part 1, Jason discusses the IT infrastructure foundations needed to take advantage of advances in generative AI. He highlights the GenAI-enabled tools that can streamline IT operations workflows.
“Financial services is becoming a software industry, but the systems those companies rely on are fragmented and disconnected,” says Jason. “There are gaps between teams, software, and data. If you don’t deliver 24×7 uptime, you’ll run into problems against your competition.”
In part 2, Jason and Matt examine the future of financial services IT. They explore the potential of new GenAI capabilities to streamline data and hardware management. They highlight how AIOps helps financial services IT teams remain competitive, become proactive, and achieve their top goals.
“Most organizations are still fundamentally reactive,” says Jason. “When you apply AI to your organization’s data, you can make incident response proactive.”
Speakers
Having previously served as field CTO and chief customer officer at BigPanda, Jason helps organizations accelerate their AIOps journeys, enhance ITOps performance, and ignite transformative growth.
Matthew DeMello, senior editor at Emerj Intelligence Research, provides insights about the largest brands in the financial services industry. Previously, Matthew hosted and produced “The Fiona Show” podcast suite for CrossBorder Solutions, focusing on the intersection of AI and international tax compliance.
More about AIOps for financial services
Ensure the availability and uptime of mission-critical services and applications. BigPanda uses advanced GenAI to improve incident response, decrease MTTR, enhance operational efficiency, and eliminate manual tasks.
- Case study: BigPanda helps the New York Stock Exchange automate manual tasks and focus on innovation
- Infographic: Three strategies to speed ITOps for financial services
- Solution brief: AIOps solves ITOps challenges for financial services
