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AI-Driven Financial Workflows: Lessons from Scaling for SMEs
Tue, 22 April
As businesses integrate AI into their workflows, the challenge lies in moving beyond basic automation to build truly intelligent, adaptable systems. This session explores how AI can be leveraged to connect tools, enhance decision-making, and personalize user experiences for SMEs and enterprises alike.
Instead of taking a one-size-fits-all approach, learn how AI-driven data models can identify user pain points, improve process efficiency, and deliver meaningful business value at the right moments. Through real-world examples and engineering insights, we’ll explore:
- Practical methods to integrate AI into financial and operational workflows
- Building adaptive data-driven solutions to enhance business processes
- Key challenges in AI adoption and strategies to overcome them
- Lessons learned from scaling AI-backed tools for SMEs
This session is ideal for software engineers, architects, and product leaders looking to understand AI’s role in optimizing business operations, improving user experiences, and designing scalable AI-driven applications.
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About the speaker
Ajay Ghanti
Head of ML Engineering, Tide
As Head of Machine Learning Engineering at Tide, Ajay Ghanti leads the Risk & Fraud ML and Product Engineering teams across Europe and India. Since joining in December 2023, he has been instrumental in developing cutting-edge financial crime prevention technologies, including advanced Decision Engines, Alert Prioritisation systems, and sophisticated Transaction & Network Analysis tools.
A hands-on technology leader and serial entrepreneur, Ajay brings deep expertise in AI/ML, cloud architecture, and digital transformation. His entrepreneurial ventures include DotMe, a platform revolutionizing link management for creators and businesses, and QuantMomo, where he implemented quantitative trading strategies achieving significant performance improvements in market analysis.
Throughout his career, Ajay has demonstrated excellence in scaling software teams and architecting complex systems across healthcare tech, fintech, and enterprise software sectors. His unique combination of technical depth in machine learning and practical experience in building scalable solutions makes him a valuable voice in the intersection of AI and financial technology.
Connect with Ajay on LinkedIn to learn more about his work in machine learning and financial crime prevention.
