Blogs

In May 2021, Colonial Pipeline paid $4.4 million in bitcoin to a ransomware group called DarkSide.

Across the world, tax administrations are under increasing pressure to modernize. Economies are digitizing, cross-border trade is accelerating, and taxpayers expect seamless digital services.

For decades, batch analytics served as the backbone of enterprise reporting. Nightly data refreshes, weekly summaries, and monthly reconciliations provided the structured insights needed for strategic planning and periodic reviews.

Digital assets have evolved from a niche investment class into a significant component of the global financial system. As cryptocurrency adoption accelerates across retail, institutional, and decentralized finance (DeFi) markets, tax authorities face growing challenges in identifying and assessing taxable activity at scale.

It starts quietly. An investigator submits a report on a suspicious address. Their supervisor reviews it, approves it, escalates it. Two weeks later, another investigator examines a nearly identical transaction pattern and reaches a completely different conclusion. Same data. Different decision.

Tax authorities worldwide are deploying artificial intelligence and behavioural analytics to uncover indirect tax evasion at a scale impossible just a few years ago.

The agencies that will lead the next generation of government technology are already making a strategic choice: stop letting legacy operations and maintenance consume the budget that should fund AI, automation, and modern service delivery.

Somewhere in your organization, a team of engineers is spending nights and weekends keeping a Teradata warehouse or a Sybase application alive, not because it delivers competitive value, but because no one has found a safe way out.

Somewhere in your organization right now, a team is preparing for a mainframe migration cutover. They have months of converted code, pages of test scripts, and a go-live window that cannot move.

Exchanges can trace wallets across chains. Compliance teams monitor transactions in real time. Institutions generate alerts at a scale that was unimaginable a few years ago. And yet