I’m a KPMG forward

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-20T10:03:19.109Z • Permanent link

Justin Johnsen, now a forward-deployed engineer at KPMG, has been at the firm for six years. He says a lot has changed in the past year. One significant shift is the increasing reliance on artificial intelligence in his work. AI-powered tools have become essential for automating tasks and streamlining processes, allowing engineers to focus on more complex and high-value tasks. Johnsen notes that the use of AI has also expanded beyond coding to include data analysis, predictive modeling, and even strategic decision-making.

KPMG's forward-deployed engineers, like Johnsen, are working closely with clients across various industries, including finance, healthcare, and energy. They are leveraging AI-powered technologies to identify business opportunities, optimize operations, and mitigate risks. For instance, KPMG's AI-powered platform has helped a major financial institution detect early warning signs of credit risk, enabling proactive measures to prevent defaults. Such applications of AI are becoming increasingly common, and KPMG is well-positioned to capitalize on this trend.

Johnsen's experience at KPMG highlights the growing importance of AI in the data sources domain. As AI-powered tools become more prevalent, data sources that can provide high-quality, relevant, and actionable insights will become increasingly valuable. Companies like KPMG are investing heavily in AI research and development, and their clients are reaping the benefits. As the use of AI continues to expand, data sources that can keep pace with these changes will be essential for businesses, researchers, and policymakers seeking to make informed decisions.

The implications of AI-powered data sources are far-reaching, with significant impacts on various industries and markets. In the financial sector, for example, AI-powered data sources can help regulators and financial institutions detect early warning signs of market manipulation, enabling swift action to prevent financial crises. In the research community, AI-powered data sources can facilitate faster and more accurate analysis of complex data sets, leading to breakthroughs in fields such as medicine and climate science.

The adoption of AI-powered data sources also raises important questions about data quality, ownership, and governance. As AI-powered tools become more prevalent, there is a growing need for clear guidelines and regulations around data use, sharing, and storage. Companies like KPMG are working closely with regulators and industry stakeholders to develop these guidelines and ensure that AI-powered data sources are used responsibly. In the research community, there is a growing recognition of the need for open and transparent data sharing, enabling researchers to build on each other's work and drive innovation.

The rise of AI-powered data sources is part of a broader trend towards digital transformation in various industries. In recent years, companies have been investing heavily in digital technologies, including cloud computing, IoT, and blockchain. These investments have enabled companies to build more agile, responsive, and data-driven organizations, better equipped to compete in today's fast-paced business environment.