Motive Communications

Jeffrey F. Rayport; Marco   Iansiti; Myra M. Hart; William W Chan; Find  Findsen

Case | HBS Case Collection | April 1999 (Revised October 2001)

Motive Communications

by Jeffrey F. Rayport, Marco Iansiti, Myra M. Hart, William W Chan and Find Findsen

Abstract

The founders of Motive Communications, Inc., a recent start-up dedicated to reinventing the support chain involved in the delivery of information technology support services, put in place a development process hinged on extensive customer feedback. As part of this, a select group of "lighthouse customers" agreed to pay $50,000 to participate in beta testing--but as a deadline approached, none had sent in their checks. The founders therefore reevaluate the lighthouse policy and its rationale.

Keywords: Business Startups; Customer Relationship Management; Risk and Uncertainty; Information Technology Industry;

Language: Spanish

Format: Print

12 pages

Educators Purchase

Citation:

Rayport, Jeffrey F., Marco Iansiti, Myra M. Hart, William W Chan, and Find Findsen. "Motive Communications." Harvard Business School Case 699-157, April 1999. (Revised October 2001.)

Working Paper | HBS Working Paper Series | 2020

Time and the Value of Data

Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti

This paper investigates the effectiveness of time-dependent data in improving the quality of AI-based products and services. Time-dependency means that data loses its relevance to problems over time. This loss causes deterioration in the algorithm's performance and, thereby, a decline in created business value. We model time-dependency as a shift in the probability distribution and derive several counter-intuitive results.
We, theoretically, prove that even an infinite amount of data collected over time may have limited substance for predicting the future, and an algorithm that is trained on a current dataset of bounded size can attain a similar performance. Moreover, we prove that increasing data volume by including older datasets may put a company in a disadvantageous position.
Having these results, we answer questions on how data volume creates a competitive advantage. We argue that time-dependency weakens the barrier to entry that data volume creates for a business. So much that competing firms equipped with a limited, but sufficient, amount of current data can attain better performance. This result, together with the fact that older datasets may deteriorate algorithms' performance, casts doubt on the significance of first-mover advantage in AI-based markets.
We complement our theoretical results with an experiment. In the experiment, we empirically measure the value loss in text data for the next word prediction task. The empirical measurements confirm the significance of time-dependency and value depreciation in AI-based businesses. For example, after seven years, 100MB of text data becomes as useful as 50MB of current data for the next word prediction task.

Keywords: economics of AI; Machine learning; non-stationarity; perishability; value depreciation;

Citation:

Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. View Details

Cite View Details SSRN Read Now

The case describes the 25-year transformation of Peabody Essex Museum, which was created in 1993 by the merger of two sub-scale predecessor cultural institutions, operating since 1799, in Salem, Massachusetts. Dan Monroe, its founding CEO, began a process of building the institution, which, when he arrived, had a budget of $3 million and an endowment of $23 million in 1993, as compared to a budget of $33 million and an endowment of $650 million in 2018. Monroe made changes in practically every aspect of the museum’s operations as PEM broke into the ranks of the top 15 museums in the U.S. All of this was happening at a time when museums in general had lost some 20% in visitation as a result of significant shifts in population demographics and what they understood by “cultural experience.” As Dan Monroe handed off the reins of an institution that had successfully run counter to trend to his successor in 2019, the trustees of the museum and its new CEO faced the challenge of how to keep the positive momentum going—and how potentially to reinvent PEM again for a rapidly changing world.

Faculty & Research

Motive Communications

Abstract

Citation:

About the Authors

More from these Authors