Boolean Innovation Labs is a group of aficionados who come together to shape a better future for all of us.
Such projects address key scientific or engineering questions or develop fundamentally new capabilities. Successful outcomes might be better technology, useful theories or new discoveries. We use established scientific benchmarks or develop new ones for measuring progress. Although these projects can tackle scientific problems motivated by user/product needs, they often move faster when conducted independently of existing products.
These projects explore and develop new products or even new businesses that require substantial research. The necessary research typically has either significant depth and enables new capabilities or significant breadth and combines a variety of technologies in novel ways. Near-term measures of success include demos, prototypes or pilots that prove user / customer utility and analyses that meaningfully inform research or business priorities.
In a nutshell, disruptive innovation is the process of understanding where a market is being overserved. Over time, our product can become packed with extras — some of which the everyday consumer will use, but the majority of which they won’t. Disruptive innovation is a process of stripping back the product to one that is viable to the vast majority of the market, even if there’s a few users who are now not served as they were using the advanced features.
Architectural innovation is simply taking the lessons, skills and overall technology and applying them within a different market. Such projects create reusable components that enhance the work of (product and research) teams that adopt them, multiplying everyone’s impact. The success of these projects is measured by adoption. Sometimes projects arise out of repeated product contributions that crystalize how such contributions can be better addressed through a common solution.
Our goal is to create a research environment rich in opportunities for product impact, to build a product environment that actively benefits from research, and to provide our staff the freedom to work on important research problems that are not tied to immediate product needs. The Lab is Boolean’s official outlet for experimental projects from small teams across the company to test a hypothesis, receive early customer feedback, and determine product market fit. Project teams get expert guidance, and a lightweight release process to help teams get their experiments out quickly.
Intellectual freedom is an essential ingredient in research progress. We want our portfolio of projects to be balanced and diversified across the organization, but we empower individuals and teams to set their own research agendas as much as possible. In order to foster an environment that supports long-term research, we acknowledge our inability to predict exactly which ideas that we work on today will be the most useful in the years to come. Substantial research freedom combined with a thoughtful and expansive view of how research can produce value at Boolean allows us to leverage the expertise of our staff to prioritize projects.
Innovation in a company needs to snowball from the top gathering bits, trytes, nibbles and bytes of information on its way down to the showroom. Boolean Innovation Labs set out to make a dent in the universe, not just build software.
A collaborative research engagement between Indian Institute of Technology, and Boolean Innovation Labs. The shared vision is that the center undertake the toughest computer science challenges in areas as diverse as human-computer interaction, mobile computing and data center optimization.
The Boolean Innovation Labs-Indian Institute of Science Learning Initiative is supporting PhD students, postdoctoral researchers at the world-leading university. Our aim is to realise artificial intelligence’s potential in enhancing the human experience and the application of computer science research to the sciences.
Indian Statistical Institute and Boolean Innovation Labs aim at advancing principles of learning and reasoning, exploring novel applications, and pursuing better understanding of challenges and opportunities with regard to the applied statistics with an aim to enable greater adoption of data science in social comm-mesh.
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