In the ever-evolving landscape of technology, it’s crucial to tread carefully when discussing advancements, as buzzwords often become catch-alls, over-promises, or simply stickers to make old concepts sound new and exciting. A prime example is AI, which, despite its transformative potential, risks being oversimplified. However, amidst the noise, genuine game-changing applications are emerging, significantly impacting various sectors. Many have experienced rules-based chatbots, fun headshot-generating apps, or dabbled in generative AI. Yet, how we communicate these advancements is key. Effective branding focuses less on specific functionalities and more on the future possibilities they unlock. While the vibe is crucial, the stats supporting them are equally important. Science and education are prime examples of where these game-changers are most evident.
1. Gain 90% More Time and Resources
Revolutionizing Drug Discovery with Dotmatics Luma
One remarkable example of technology revolutionizing an industry is Dotmatics, a company significantly reducing the cost and time associated with drug discovery. Previously, processes that took billions of dollars and decades now take millions and a year. This kind of transformation grabs attention.
Dotmatics recently introduced Luma—a breakthrough scientific intelligence platform designed to help scientists and administrators unify and analyze large volumes of data for better decision-making. Built on Databricks, Dotmatics Luma enables teams to seamlessly pull data into the platform from popular scientific applications and lab instruments, addressing the common issue of critical data being trapped in silos. Luma handles both the volume and complexity of data at an exponential scale, allowing scientists to control it easily.
For instance, with flow cytometry “autogating,” identifying cell populations in a blood sample goes from weeks to nearly instant, with far greater accuracy.
Today, Dotmatics software is used by more than 2 million scientists globally, including at institutions like Bristol-Myers Squibb, Merck, MIT, and Oxford. Many of the top 10 pharmaceutical companies are in the process of implementing Dotmatics Luma. Once data from various sources are centralized in Luma, the possibilities with AI become incredibly interesting and insightful. Dotmatics describes this as a series of progressively complementary layers of differentiation, each layer becoming more valuable to a business.
2. Pivoting Lessons in Real-Time
Transforming Education with Instructure’s Intelligent Insights
In the education sector, Instructure, the leading learning technology ecosystem and maker of Canvas LMS, has launched Intelligent Insights—a new product powered by AI and analytics. Institutions like Oxford, Cornell, and San Diego State, which were beta testers, have hailed it as a game-changer in higher education. Intelligent Insights empowers educators to adapt and customize content for students needing extra support and “ask your data” on how to improve courses and learning in real-time.
Sean Hauze, Ph.D., Senior Director of Instructional Technology at San Diego State University, praised the seamless integration: “The Ask Your Data feature has been a game changer for us, empowering our leaders to interact with our data in a conversational way that was previously unimaginable. The ease of adoption and the value we’ve seen from Intelligent Insights has democratized our ability to leverage data—by both technical and non-technical leaders alike.”
Automating reporting and monitoring allows educators more time to build relationships with students, facilitating personalized learning experiences. A 2023 study revealed that 92% of faculty rated “adequate prep time” as important instructional support for teaching. Additionally, 76% of faculty stated technology and tools like AI and analytics are crucial to the overall impact of their teaching. Intelligent Insights provides innovative real-time solutions to address educators’ and administrators’ evolving needs by enabling the implementation of best practices that were previously too expensive, challenging, and time-consuming.
