Research teams often spend too much time moving data between platforms, risking errors and delays. Automated, two‑way integrations let insights flow securely and quickly. In article 5 of the Connected Research Ecosystem Series, we learn that alignment isn’t enough; integration makes data actionable.
In the fourth article of our Connected Research Ecosystem series, we explore alignment. After defining fragmentation, measuring its impact, and outlining a blueprint, we show how connecting tools, teams, and data points creates a unified picture for reliable research insights.
In 2017, Canada became the first country in the world to launch a national AI strategy. With $125 million in initial investment, it established world-class research hubs like Mila in Montreal, Amii in Edmonton, and the Vector Institute in Toronto. That early leadership positioned Canada as a global force in...
The best product data is what you have at hand while you're sketching wireframes or tinkering with a prototype. Is "on-stage" too theatrical for someone visible on a video call? Does "off-stage" clearly mean muted and camera-off? These hyper-specific, time-sensitive questions hit mid-flow in...
Generative AI is transforming product development—but not without challenges. It’s enabling teams to work smarter, innovate faster, and enhance user experiences, but navigating its complexities is key to long-term success. Here are five challenges product teams should be aware of when adopting AI: 1) Addressing Bias in AI...
Generative AI is revolutionizing the way we design, market, and refine products. It’s giving teams the tools to better understand users, create more meaningful experiences, and connect with audiences in new ways. From improving designs to boosting engagement and expanding your reach, AI is opening up exciting opportunities. Here...