Related Posts about : data-ai

AI often gets talked about as something for big companies with technical teams. Saima Malik, AVP of Enterprise Process and Automation at TD, argues it belongs to every single person, and that the five skills that matter most for AI are ones people already have. She has spent more than 25 years in digital technology […]

Only 11 percent of financial firms report measurable ROI from AI. In 2026 the binding constraint is not model quality. It is the governed data foundation underneath the model. The 2025 AI experiments were necessary. Most of them did not move a balance sheet. Boards funded generative and agentic pilots on the promise of transformation […]

More than 80 percent of AI initiatives collapse, and it is almost never the model that fails. It is the governance around it. The number that should concern a financial services board is not an adoption statistic. More than 80 percent of AI initiatives collapse, a failure rate nearly double that of traditional IT projects, […]

Sixty-six percent of banks still report data quality problems that reach the bottom line. In a market moving at the speed of AI, data strategy has stopped being a technology program and become a growth decision. Financial institutions have spent a decade investing in data. Warehouses, then lakes, then platforms, then dashboards. Yet ask a […]

Financial institutions are not failing at AI because their models are weak. They are failing because nobody owns the decisions those models now make. The budget was approved. The pilot worked. The board saw the demonstration and asked when it would reach customers. Then the value disappeared somewhere between proof of concept and production, and […]

Canada’s banks have already won the digital adoption argument. The next decade will be decided by four things they do not yet fully control: experiential banking, open banking, generative AI, and the mega platforms they increasingly rent capability from. The Canadian banking sector is at a crossroads. On one hand, it holds a global reputation […]

Seventy three percent of customers want to know when they are interacting with AI, and only 42 percent trust companies to use it ethically. Telecom loyalty is now decided inside that gap. Every telecom operator is running an experiment it never formally approved. Automated decisioning now sits behind the billing adjustment, the plan recommendation, the […]

Billing drives up to half of every telecom contact centre’s call volume, and it is the one system most operators have left untouched for a decade. Every telecom operator has a digital transformation programme, a self-serve app and at least one AI pilot. Almost none of them have fixed the bill. Billing remains the number […]

Telecom’s AI problem is no longer the model. It is everything that happens after the demo works. Telecom leadership teams have spent four years proving that AI works. The proofs succeeded. Very little of the operating model changed. Boards approved budgets, innovation teams shipped impressive demonstrations, and the contact centre, the network operations centre and […]

When a lender cannot reliably apply its own rules, every mortgage file is assigned by hand and every policy change waits on IT. This is how The engagement rebuilt the decision. Executive Summary “When a lender cannot apply its own rules automatically, the cost is not just slower decisions. It is inconsistent ones.” A leading […]