Transforming the pyramid to an agile org

Transforming the pyramid to an agile org

I recently published a video exploring how an agile team based organization could look like. How does it look like under the hood? In the video I also discussed how you get there. I got tons of great feedback so I decided to provide the content of the video in the format of a blog. If you prefer to read instead of watching …

To Become a More Visionary Leader

To Become a More Visionary Leader, Become Stronger at Visualization

In our research with thousands of leaders, one skill stands out — by far — as the most common improvement area: their ability to sell a vision to employees. Over 50 percent of leaders we’ve assessed struggle to demonstrate this form of visionary leadership, a larger deficiency percentage than for any other leadership skill. Leaders are consistently unable to vividly …

How to build an all-purpose big data engine with Hadoop and Spark

How to build an all-purpose big data engine with Hadoop and Spark

Apache Hadoop and Apache Spark are complex technologies, and how to use these architectures together is often misunderstood by many organizations. Investing in both technologies enables a broad set of big data analytics and application development use cases. Niru Anisetti is program director in the product management team for Spark offerings and next-generation big data platforms at IBM, and Rohan …

A Successful Journey with Data Science

A Successful Journey with Data Science

Sometime around 1850, Jacob Waltz found a gold mine in the southwestern United States. He didn’t tell anyone where it was. No one knows for sure if Waltz actually found a gold mine. Nevertheless, many people have tried to find the gold mine to this day. Just like prospectors who wanted gold for success, CIOs can leverage their enterprise’s data …

Creating an Analytic Culture through Data Interaction

Creating an Analytic Culture through Data Interaction

Becoming a knowledge-based organization takes a heavy investment in people, process, and technology. In the current analytic movement, there is much focus on amassing data and hiring the data scientist and analytic talent needed to control the effective use of information across the organization. Yet such a supply-side investment may be a bit lopsided. Concentrating too heavily on the tools, …

How to Make Better Decisions with Less Data

How to Make Better Decisions with Less Data

Maria, an executive in financial services, stared at another calendar invite in Outlook that would surely kill three hours of her day. Whenever a tough problem presented itself, her boss’s knee-jerk response was, “Collect more data!” Maria appreciated her boss’s analytical approach, but as the surveys, reports, and stats began to pile up, it was clear that the team was stuck …

How to use machine learning in today's enterprise environment

How to use machine learning in today’s enterprise environment

One of the latest trends in the world of technology and engineering is “machine learning” — in fact, all of the big technology companies today have invested in artificial intelligence and machine learning projects. The term “machine learning” was first defined by Arthur Samuel, way back in 1959. He defined it as “the ability to learn without being explicitly programmed,” which …

8 Reasons Why Analytics / Machine Learning Models Fail To Get Deployed

8 Reasons Why Analytics / Machine Learning Models Fail To Get Deployed

An epic example of model deployment failure is from Netflix Prize Competition. In a short story, it was an open competition. Participants had to build a collaborative filtering algorithm to predict user rating for films. The winners received grand prize of US$1,000,000. In the end, the complete model never got deployed. Not just Netflix, such dramatic events occurs in most of the companies. Recently, …