In support of these efforts, the concept of “Applied Intelligence” provides a lens through which stakeholders can enhance both their data collection as well as their ability to process and understand this enhanced data and its implications for optimally engaging with the complex systems and structures that comprise our modern world. Applied Intelligence represents a wider-aperture view onto these complex systems and structures, as well as a means for bringing this wider, deeper view into sharper focus. In short, Applied Intelligence means “seeing more, and seeing it more clearly.”
Informa Tech believes that four key disciplines and technologies comprise the Applied Intelligence concept: data science, artificial intelligence/machine learning (AI/ML), quantum computing, and the Internet of Things (IoT). Here, we describe our view of how each plays a vital role and how they interrelate.
- Data science provides a discipline for using sophisticated tools, techniques, and processes for managing and analyzing large, complex sets of data. It directly provides a means for humans to leverage burgeoning volumes of data, from both traditional enterprise, government, and scientific sources, as well as relatively newer sources, including social media, the IoT, and quantum sensors.
- AI/ML enables computers to learn from data, rather than having to be explicitly programmed. As we grapple with increasing data volumes and data complexity, AI/ML will facilitate scaling our analysis and addressing use cases and functionality (such as natural language processing) that aren’t practical using traditional rules-based approaches.
- Quantum computing is certainly the most nascent of these four areas, and there’s still a lot of work to do to realize the vision of fully fault-tolerant quantum computers that show a distinct “quantum advantage” over today’s classical computers for commercially relevant applications. But if quantum computers achieve their full promise, they offer a means of addressing computationally hard problems that are simply intractable to classical computers. Quantum computers aren’t a replacement for classical computers, but they will serve as key accelerators for classical computing in specific use cases such as quantum machine learning (QML), combinatorial optimization, and physical simulation.
- The IoT refers to a diverse range of sensing, control, and communications technologies that enable remote physical devices to play a role in applications that are largely automated and without direct, ongoing human supervision. IoT applications are not only a key new source of rich data but are also a means to optimize the efficient operation of diverse industrial, commercial, governmental, and consumer systems. The IoT represents a fundamental addition to, and enhancement of, traditional human-centric systems and processes. It is the bedrock of “seeing more” with a wider lens.
Informa Tech has recently organized the Applied Intelligence Group as a means for Informa Tech to help our stakeholders understand and organize around how society can make use of emerging, transformative technologies to source, process, enhance, understand, and utilize data to improve our chances for living in a more sustainable, more equitable world.
The Group is a platform with three “legs”: our Omdia research unit provides key data and analysis on the key trends impacting the four areas above. Our B2B media unit surfaces and assesses the key stories and developments of most interest to our audience. And our events unit gives us the ability to create communities of interest, both online and in person, around these four areas. Working together, our three teams help our stakeholders to better understand and act on the possibilities created by data science, AI/ML, quantum computing, and the IoT.
Author: Sam Lucero, Chief Quantum Computing Analyst, Omdia