Highlighted by Columbia Business School, this media piece showcases Topics and Areas of Expertise about our esteemed faculty. The content is specifically curated from the publication that showcased the mentioned faculty and/or research, emphasizing its contributions in various fields. The featured Topics and Areas of Expertise reflects the school's commitment to sharing valuable insights and knowledge.
Mentioned Faculty
Shivaram Rajgopal
Roy Bernard Kester and T.W. Byrnes Professor of Accounting and Auditing; Chair of the Accounting Division
Highlighted by Columbia Business School, this media piece showcases Topics and Areas of Expertise about our esteemed faculty. The content is specifically curated from the publication that showcased the mentioned faculty and/or research, emphasizing its contributions in various fields. The featured Topics and Areas of Expertise reflects the school's commitment to sharing valuable insights and knowledge.
Mentioned Faculty
Stijn Van Nieuwerburgh
Earle W. Kazis and Benjamin Schore Professor of Real Estate
Finance Division
Earle W. Kazis and Benjamin Schore Professor of Real Estate
Highlighted by Columbia Business School, this media piece showcases Topics and Areas of Expertise about our esteemed faculty. The content is specifically curated from the publication that showcased the mentioned faculty and/or research, emphasizing its contributions in various fields. The featured Topics and Areas of Expertise reflects the school's commitment to sharing valuable insights and knowledge.
My key takeaways from this episode:
What should listeners know about understanding data
Today data accessibility is more available, the tooling to analyse data is cheaper, and it’s expected of leaders that they make data-informed decisions.
Yet, although most things are measured, many things are not improved. The challenge is not the data, it’s the decision-making.
You can torture data enough to get them to admit to anything. The question is how to interpret data correctly and how to factor in human interpretation.
Oded Netzer, the Arthur J. Samberg Professor of Business, shares his thoughts on ChatGPT, how to use data most effectively, and the essential qualities that future business leaders must possess.
Become a confident leader and use data, experience, and intuition to drive your decisions
Agile decision making is imperative as you lead in a data-driven world. Amid streams of data and countless meetings, we make hasty decisions, slow decisions, and often no decisions.
Uniquely bridging theory and practice, Decisions Over Decimals breaks this pattern by uniting data intelligence with human judgment to get to action — a sharp approach the authors refer to as Quantitative Intuition (QI).
QI raises the power of thinking beyond big data without neglecting it and chasing the perfect decision while appreciating that such a thing can never really exist.
Successful decision-makers are fierce interrogators. They square critical thinking with open-mindedness by blending information, intuition, and experience. Balancing these elements is at the heart of Decisions Over Decimals.
This book is not only designed to be read - but frequently referenced - as you face innumerable decision moments.
It is the hands-on manual for confident, accurate decision-making you've been looking for; the rare resource that provides a set of pragmatic leadership tools to accelerate:
Effectively framing the problem for stakeholders
Synthesizing intelligence from incomplete information
Delivering decisions that stick
Strike the right balance between information and intuition and lead the smarter way with the real-world guidance found in
The words people use say a lot about their personalities, emotions, and thinking. And the ones they use when asking to borrow money, it turns out, also says a lot about whether they are likely to pay others back.
According to a new study, borrowers who try to appeal to their prospective lenders’ emotional side—by mentioning God, divorce, or the needs of family members, for example—are less likely to fulfill their loan obligations (something to keep in mind when our buddies or family members try to mooch off of us).
You’re running all out but failing to reach a goal. Your team is grinding through tasks and decisions. If companies want to grow, compete, and win they need to accelerate decisions. It is estimated the average American makes 70 decisions per day, according to Professor Sheena S. Iyengar, at Columbia Business School. Given the frequency, the real need is for a practical approach to lead in a data-driven world.
Our research with 2,100 professionals concluded that data in high doses is harmful. It doesn’t speed decision-making, improve logic, or enable the best decision. In fact, while data is black and white, the truth is clearly gray. The gray comes from intangibles such as bias, risk appetite, history, stakeholders’ conflicting priorities, problem definition, and expectations: things we can’t know through numbers, but only through experience and intuition.
To make effective decisions across teams of different sizes, experiences, locations, and with varying amounts of data, we developed seven lessons to better faster decisions.
What jobs are most vulnerable to the rise of AI tools like ChatGPT? Artificial intelligence is rewriting the future of work, and Columbia Business School Professor of Business Oded Netzer is at the forefront of this conversation. In a CBS News article, Netzer discusses the rise of AI tools like ChatGPT and emphasizes that while AI can take over specific tasks, it often enhances rather than replaces roles. AI can write basic programming code, streamline administrative tasks like emails, and draft legal documents, allowing professionals to work more efficiently. Those unwilling to adapt to these new AI-driven workflows may find themselves left behind.As AI continues to evolve, Netzer explains how businesses can adjust to these changes. He suggests viewing jobs as a set of tasks that AI can support, helping industries balance human creativity with machine efficiency. For company leaders, this means developing strategies to integrate AI in ways that empower, rather than displace, their teams.Read the full article for more on which roles are most at risk and how AI might reshape your job.