You’ve invested in the cloud and platforms but the returns aren’t there. That’s because most enterprises are trying to run modern AI and data initiatives on decades-old IT. The outcome: modernization journeys derailed by silos, weak governance and outdated practices that cost plenty but deliver little.
This white paper will help you avoid that.
How treating data as a product boosts quality, access and cross-domain AI.
Why modern platforms, infrastructure and practices turn modernization into a value engine.
Who is already proving it. Gilead, Roche and Bayer - with steps that deliver ROI and prepare you for AI at scale.
Thoughtworks helps you rebuild the core systems your business depends on, without hitting the pause button. By treating modernization as a continuous foundation rather than a one-off project, we help you shift from risky legacy debt to controlled evolution.
John is fascinated by the challenges of extracting intelligence from data, and applying that intelligence to create powerful applications that change businesses. He joined Thoughtworks as a Consultant in 2003, and led a number of strategic projects before becoming General Manager for Chicago and New York.
In 2012, he led the launch of our data analytics practice in North America, and in 2019 he became Director of Data Strategy, Engineering and Analytics.
Most data modernization efforts stall because organizations focus only on technology. Without prioritizing data quality, interoperability and modern engineering practices, silos persist and your modernization strategy can’t deliver real, continuous value.
Treating data as a product means making it high-quality, discoverable and usable across teams. This approach powers better analytics, supports AI-driven decisions and strengthens data governance, turning your data modernization strategy into a value engine.
Simply moving to the cloud won’t help if old habits persist. Effective data modernization services pair modern platforms and infrastructure with updated practices to streamline data management, improve data security and maximize ROI from your data tools.
Continuous value comes from combining modern platforms, evolving engineering practices and process change into a unified modernization strategy framework. This approach powers ongoing analytics, strengthens governance and builds scalable solutions that future-proof your enterprise.
