About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Scotiabank Partners Google Cloud to Accelerate Global Data and Analytics Strategy

Subscribe to our newsletter

Scotiabank has made a strategic partnership with Google Cloud to increase the bank’s cloud-first commitment and accelerate its global data and analytics strategy. As a Scotiabank trusted cloud partner for data and analytics, Google Cloud will help create a more personal and predictive banking experience for Scotiabank customers in the Americas and across the globe.

The partnership builds on progress Scotiabank has made on its cloud strategy over the past several years. By moving its customer data onto Google Cloud, and using its data analytics and AI solutions, Scotiabank plans to unify data silos across the organisation, use machine learning models to reduce the time spent predicting customer offers from 14 days to hours, and improve customer interactions by giving its engineers and data scientists Google AI solutions such as natural language processing (NLP), voice, and vision capabilities to help the bank automate document processes and onboarding.

“The Google Cloud partnership for data and analytics will enable a significant improvement in speed, sophistication, and ubiquity of insights and automation through parallel processing and streaming data,” says Grace Lee, senior vice president and chief analytics officer at Scotiabank. “This transformation will undoubtedly improve the customer experience and the Bank’s efficiency globally.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to simplify and modernize data architecture to unleash data value and innovation

The data needs of financial institutions are growing at pace as new formats and greater volumes of information are integrated into their systems. With this has come greater complexity in managing and governing that data, amplifying pain points along data pipelines. In response, innovative new streamlined and flexible architectures have emerged that can absorb and...

BLOG

Tracing Data’s Transformation is Key to Compliance and AI Effectiveness: Webinar Preview

Transparency and accuracy are characteristics of data that are equally important for financial institutions’ compliance processes and the rollout of artificial intelligence applications. Without those qualities, regulators will have little trust in the disclosures of firms’ compliance teams and any AI technology will be prone to misleading and potentially damaging outputs. To ensure these two...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...