The only limit to DeFi is organizational imagination

In the following contribution we suggest that finance can be best ideated not as a process to be improved but as a powerful growth engine in its own right. For retail organizations, as well as their financial partners, DeFi (decentralized finance) can…


The road towards the forthcoming financial revolution won’t be paved with data, but with trust.

The promise of open finance — built upon innovations in technology, the regulatory environment, and business models — is changing the way we think about payments, investments, and lending. …


Will embedded finance increase your organization’s revenue per customer 2–5x?

Embedded finance involves integrating payment, loan, insurance, and investment services into your organization’s technology platform and apps. For consumers, embedding financial services saves time, is more convenient, and can provide a significantly improved customer experience. …


If digital ethics is nothing new, each generation of information technology amplifies the ethical challenges in developing human intelligence

As the applications of artificial intelligence in both business and society become more ambitious, digital ethics has become a growing concern for both individuals and governments. Ethics concern a set of social conventions that develop “our capacity to think critically about moral values and direct our actions in terms of…


Crunching the numbers isn’t enough to transform data into action

During the SwissCognitive conference I gave online last week on putting AI in perspective, I studied the faces of several dozens in the audience to the right of my screen. …


We are in the eye of the COVID-19 storm, let’s use the data at hand to chart the course we wish to sail in the future.

From Anxiety to Action

I sit nestled behind my desk in the French Alps, looking through the window at the growing green grass, bright yellow Forsythias, and budding cherry trees that signal the first premises of Spring. …


Human-centric AI depends upon corporate education’s ability to develop a clear understanding of what managers can bring to the table

Is the managerial motivation behind artificial intelligence simply to reduce headcount by replacing employees with machines? If so, ‘’human-centric AI” is at best self-defeating nonsense. If MIT defines human-centric AI as “the design, development, and deployment of (information) systems that learn from and collaborate with humans in a deep, meaningful…


Managers needs to look beyond data and algorithms to explore how artificial intelligence is transforming the essence of management

In the rush to prepare management for artificial intelligence, both Academia and CorpEd are spinning together programs of statistics, information technology, and information sciences to train future professionals for commerce and industry. Lost in the shuffle is the need to address both how AI is transforming management practices today, and…


Academic degrees in Artificial Intelligence focus too often on Data Science per se than its transformative impact in organizations and markets.

Most academic programs specializing in Artificial Intelligence today focus on understanding data preparation, statistics, modeling, and algorithms while leaving AI’s impact on business to a footnote. …


The business value of Data Science depends upon aligning AI projects with corporate strategy, culture and resources

Many companies are investing heavily in artificial intelligence because of the perceived need to “do something will the myriad of data that is being captured each day”. Gartner calculates that this year’s investments…

Lee Schlenker

Dr. Lee SCHLENKER is a Professor of Business Analytics and Digital Transformation and a Principal Consultant of the Business Analytics Institute

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