Company leaders need to take a 360-degree approach to digital transformation — by reinventing both outward-facing strategy and inward-facing operations, says IBM’s Mark Foster. In this episode of the Three Big Points podcast, he explains how the combined impact of quality data, technology, and a sense of humanity enable a digital reinvention to succeed.
- Read Time: 6 min
As technology and society continue to rapidly transform, it can also be overwhelming for managers and organizations to think about what to tackle next. With that in mind, we asked recent expert authors what is one critical area where leaders and organizations should focus their efforts in 2020 and beyond.
- Research Highlight
- Read Time: 13 min
Though autonomous technology has a large and growing range of potential applications, it also may threaten users’ sense of autonomy and free will, or their belief that they can decide how to pursue their lives freely. But companies can create systems users don’t hate by protecting users’ autonomy, unpredictability, and privacy.
- Read Time: 7 min
MIT Sloan Management Review’s Winter 2020 issue explores the dilemmas managers face in using blockchain, machine learning, and marketing analytics effectively; strategies to recognize potential threats to your business; the underpinnings of successful organizational transformation; and meeting the emotional and educational needs of your employees.
- Research Feature
- Read Time: 19 min
A noble purpose isn’t enough to create employee engagement within a company. The primary determinant of engagement is the level and quality of interpersonal collaboration. Leaders play a key role in these interactions. Their behaviors can create an environment of trust, imbue work with purpose, and generate positive energy — three conditions that nurture interpersonal collaboration and, in turn, bolster engagement.
| Runtime: 0:59:03
As the AI field currently stands, deep learning is playing an increasingly critical role. As organizations begin adopting deep learning, leaders must ensure that these artificial neural networks are accurate and precise–lest they negatively affect business decisions and potentially hurt customers, products, and services.
- Research Highlight
- Read Time: 17 min
The technology that underpins deep learning is becoming increasingly capable of analyzing big databases for patterns and insights. Before long, companies will be able to integrate a wide array of databases to discern what consumers want, and then leverage that information for market advantage. Deep learning might also be used to design products to meet consumers’ personal needs. Different types of organizations will try to harness the powers of deep learning in their own ways.
| Runtime: 0:59:36
- Read Time: 1 min
The 2019 MIT SMR and BCG Global Research Report Winning With AI looks at why there is a big gap between companies getting value from AI and those that aren’t as well as the cultural and leadership factors that characterize AI pioneers. This webinar summarizes the findings and lessons of the research.
You stand in front of a roomful of decision makers and present an iron-clad case for a compelling, data-backed proposal. The group’s reaction? Tepid, at best. So, what happened? Nancy Duarte would likely tell you that you were missing the story behind the data. In this episode of Three Big Points, Duarte shows us how to bring data to life in a way that will win people over to your idea.
- Read Time: 7 min
Three common trouble points impede companies moving toward using AI: Leaders are unclear what it means to adopt AI; systems are drawing from too much junky data; and there isn’t a careful balance between customer loss of privacy and the value returned. These problems can be resolved only when leaders pay close attention to the strategic challenges of bringing AI on and approach AI as an integrated element of their processes.
Every team has a data-based strategy for regular season play — but the playoffs are a completely different story. In this episode of Counterpoints, we talk with Mike Trudell, a reporter who covers the Los Angeles Lakers for ESPN and other sports news outlets, about the mysterious intangibles that come to the foreground during the playoffs.
- Read Time: 2 min
This week’s must-reads for managing in a digital age: just because companies recognize re-skilling and upskilling is critical doesn’t mean they’re doing it right. Also, how to choose charts everyone understands, where blockchain is headed in the enterprise, and words of wisdom for managing your career in an age of uncertainty.
- Read Time: 4 min
By finding smart ways to make the most of in-house potential, tapping into the growing global ecosystem of expertise, and being open to automation and other tools that might help bridge gaps, leading companies are drilling new sources of advanced analytics talent.
- Read Time: 6 min
Complex charts are good for aggregating data and then digging into it, especially if users can click on sections to find additional material or generate custom data sets. But interactive data visualizations aren’t always necessary — and sometimes, they’re just too complicated. While complex charts are good for exploring data, a classic bar chart, line chart, or pie chart is often best for communicating information.
The explosion of streaming media offers fans unlimited access to sports and entertainment. So how can teams entice their audience to the events happening here and now? Sports Innovation cofounder and CEO Angela Ruggiero says success starts with understanding just how fans’ behavior has changed with the advent of digital technology — meaning, executives of sports companies and media outlets alike must be willing to completely rethink how they approach their marketing.
In football, the passing game is dominant, and putting the ball on the ground has less and less relevance to a team’s ability to score. So the question has arisen: Does the running game still matter? How do coaches and managers know when a formerly winning tactic has become obsolete? Counterpoints looks at the data.
MIT SMR Connections | Custom Research Report
Traditional joint advertising programs are lagging behind consumer buying behavior and marketers’ needs. More data sharing between retailers and brands has the potential to deliver a better customer experience and better return on brands’ advertising dollars.
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