Dates: 16-18 March, 2023
Information Systems based on emerging technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Cloud, Blockchain, etc., are rapidly re-shaping the present society and are forcing us to see through their implications for the future. With the promise of digital transformation, these technologies now pervade in organisations across several industries and application domains. But, despite their tremendous growth, there seems to be a paradoxical widening of the gap in understanding of these technologies between the experts and others. Developers and researchers, predominantly from the IT and related areas, are pushing the boundaries of these technologies at a rapid pace. As a result, the inner workings of, and the theoretical assumptions underpinning, these emerging technology based systems are gradually becoming opaque to the decision makers who might eventually rely on such systems for decision making. This level of opaqueness could be greater for decision makers in the non-IT application domains – such non-IT industries, public sector agencies, social science research settings, etc.
Top-down adoption of emerging technologies (in the form of readily deployable or adaptable product/platform-as-a-service kind of solutions offered by large technology vendors) seem to be the popular option for many organisations willing to apply them in their respective contexts for decision making. But, for many of the complex industrial and public systems, top-down adoption might often warrant abrupt transition of organisational processes without giving sufficient weightage to the domain or industry specific contexts. Embedded in the broader social fabric, emerging technology solutions will also require organisational decision makers to prepare necessary mitigation strategies to address any ethical concerns that they might pose. Given these scenarios, an understanding of the possibilities offered by these technologies could help decision makers look at emerging technology solutions in a relatively bottom-up manner to better suit their respective socio-technical contexts.
This course is an effort to unpack the possibilities offered by two important emerging technologies, AI and IoT, for organisational decision makers. The course shall take the participants through a) the key elements in each of these technologies from a theoretical view point and the way they typically come together in the practical (or popular) AI and IoT systems, b) ethical concerns posed by AI and IoT systems and possible mitigation strategies, and c) possible scope for decision makers to plan or strategize AI and IoT systems to better suit their respective socio-technical contexts. Organisational decision makers, faculty, researchers, system designers, and any other interested individuals, especially engaging in non-IT subject domains, public sector contexts, and social science research settings, can therefore benefit from this course. Please find the detailed schedule here.
Executive program fee:
For students: 2,500 INR
For working professionals/independent researchers: 10,000 INR
Apply here.
Application Deadline: 4 March, 2023 10th March, 2023. Shortlisted applicants will receive a registration and payment link.
Please reach out to vinayreddy.v@iiitb.ac.in for more details.