Research Articles

As shadow AI proliferates and regulations tighten, the organizations that act now to formalize their governance approach will be best positioned to scale AI safely and sustainably across the enterprise.

Artificial intelligence continues to transform business operations across sectors, with organizations increasingly focusing on industry-specific applications that deliver tangible value.

The findings from our Innovation Advisory Council reveal that while organizations have developed increasingly sophisticated approaches to innovation management, they continue to face fundamental challenges in balancing day-to-day operations with forward-looking initiatives.

The future of enterprise technology and the ability to effectively leverage transformative AI solutions will be directly shaped and influenced by the balance of increasingly fast-paced innovation and escalating pressure for optimization.

AI agents represent a groundbreaking shift in artificial intelligence, enabling systems to autonomously perform tasks, make decisions, and adapt to changing conditions without constant human oversight.

Technology executives must navigate the integration of emerging technologies, ensure robust cybersecurity strategies, and manage vast amounts of data—all while aligning IT strategies with business goals.

By developing a tailored, tangible and strategic roadmap that accounts for the specific and nuanced challenges encountered with initiatives, enterprises can bolster their AI posture, maturity and ecosystem to better enable effective and efficient AI operationalization and value realization.

In collaboration with Stratascale, we unpack the growing healthcare technology landscape, with a spotlight on AI and data intelligence.