July 27, 2026

From Throughput to Learning: How to Get Compound Returns From GenAI

Generative AI is delivering value in organizations today, but the biggest opportunity may come from how those early successes build on one another over time. MIT Sloan Management Review's "How to Reap Compound Benefits From Generative AI" explores how organizations can create lasting business value by expanding AI thoughtfully across the enterprise rather than treating it as a series of isolated projects. Contact Digital6 Technologies to discuss how to build this kind of AI learning infrastructure in your own organization.
July 27, 2026

Four Paths to Business Value with AI

Moving from AI experimentation to business value takes more than access to powerful models. 🤖 The eBook, "Four Paths to Business Value with AI," shows how organizations build strategies on intelligence and trust to scale AI responsibly. Download your complimentary copy for ideas on use cases to consider and paths to moving forward. @Microsoft Copilot @Microsoft 365
July 27, 2026

Ask the Experts: The cloud cost reckoning

InformationWeek's "Ask the Experts: The Cloud Cost Reckoning" examines a challenge many organizations are facing today. As cloud environments grow, so do the costs associated with them. The article explores how leaders are balancing scalability, performance, and budget realities while maintaining momentum on digital initiatives. Read the article 🔗
July 20, 2026

Cloud maturity is hampering AI adoption

Many organizations are discovering that AI ambition is outpacing cloud maturity. New research shows that legacy platforms, uneven investment, and skills gaps are putting AI, cloud-native, and modernization initiatives at risk. Read this article on how cloud architecture, cost management, and security choices shape AI outcomes, then contact Digital6 Technologies to discuss how to strengthen your cloud foundations and unlock more value from your AI investments.
July 20, 2026

Closing the AI Oversight Gap

As AI becomes more deeply embedded in business operations, governance is moving from an IT concern to an executive priority. The Directors & Boards article, "Closing the AI Oversight Gap," examines why organizations need stronger oversight to manage AI risks while supporting innovation. It's a timely perspective for leaders looking to build AI strategies that are both responsible and sustainable. Read the article 👉
July 13, 2026

The True Cost of Poor Data Quality | IBM

Organizations are investing heavily in AI, but many overlook one of the biggest factors influencing success: data quality. IBM's "A Compounding Threat: The True Cost of Poor Data Quality" examines how inaccurate, incomplete, or inconsistent data can create ripple effects across AI initiatives, business operations, and decision-making. As AI becomes increasingly embedded in the enterprise, improving data quality isn't just an IT initiative--it's a business imperative. Read the article 👉