Charlie Dai

2 months ago | forrester.com | Charlie Dai |Lee Sustar |Allie Mellen |Diego Giudice

Three years ago, Lee Sustar and I published a report “Navigate The Cloud-Native Ecosystem In 2022”. In that report, we analyzed how the cloud-native ecosystem driven by open-source software (OSS) has been powering the architecture modernization across infrastructure and application development, enabling platform-driven innovation in the meantime across a spectrum of technology domains like data and AI.

Feb 24, 2025 | forrester.com | Brian Hopkins |Charlie Dai |Enza Iannopollo

Quantum computing has long promised revolutionary breakthroughs, but progress has been slow. Recently, Google announced its latest superconducting chip, Willow. Now, Microsoft has unveiled the Majorana 1 chip, its answer to building scalable, fault-tolerant quantum computers. To back up their claims, they published a paper in the scientific journal Nature. We see these announcements as steps in the long road to quantum advantage — the point at which a quantum computer becomes commercially practical.

Feb 24, 2025 | forrester.com | Charlie Dai |Enza Iannopollo |Lisa Singer

For more than a decade, Forrester has been committed to researching AI and ML technologies and platforms. During my 13-year tenure at Forrester, I had the privilege of working alongside our talented AI analysts. Together, we have continuously refined our market definitions and research focus to stay aligned with emerging tech trends and business needs.

Dec 11, 2024 | forrester.com | Ted Schadler |George Lawrie |Charlie Dai

As pure knowledge businesses that make money in billable hours worked, service providers are on the front lines of genAI-powered disruption. GenAI-powered digital assistants supplement people’s work, augmenting their knowledge, skills, and experience as well as automating their tasks. The impact is more work completed in less time with fewer people.

Dec 11, 2024 | forrester.com | Charlie Dai |Rohit Makhijani |Christopher Condo

Generative AI (genAI) has the potential to radically elevate customer experiences and streamline operations, delivering transformative impact across the enterprise. Yet, businesses encounter a significant challenge: the inherent limitations of foundational models (FMs). These models often struggle with delivering accurate and relevant outputs, primarily due to their constrained training datasets.