Data is a new type of business asset from a legal perspective. The traditional legal methodologies don't fit. You have confidentiality obligations, licensing and usage considerations, and data quality requirements, especially when it comes to AI. A legal strategy for data needs to be top of mind for leadership. Before it's too late. In this episode we talk with William Tanenbaum, a pioneer in the area of data and the law.

Chapters

00:00 – Open & Introduction; 03:31 – Monologue; 06:15 – William Tanenbaum; 25:04 – Dispatches from Rock Bottom; 27:10 – Audio Rorschach Test; 29:10 – Recap & Close

Featured Image Credit: wp paarz, "Court Gavel - Judge's Gavel - Courtroom," 2016. flickr.com. Some rights reserved.

When you look in the dictionary between "hard place" and "rock" you will find "analytics management." Data Consumers demand high-quality data. Data Producers say it's good enough to run the business so it's good enough for you. Management wants peace and quiet. When everything is running smoothly you're invisible. When it's not...

Our guest is Deep Sogani, Vice President and Chief of Enterprise Data at Personify Health. He has lived analytics management at all levels at several companies, bringing a breadth and depth of experience here to Rock Bottom.

Chapters:

00:00 – Open & Introduction; 03:55 – Monologue; 06:38 – Deep Sogani; 25:32 – Dispatches from Rock Bottom; 27:38 – Audio Data Rorschach Test; 29:06 – Recap & Close

Featured Image Credit: Elyse Horvath, "Now serving 66," 2015. flickr.com. Some rights reserved.

Everyone says that data has value, but what does that mean? How do you measure that value? This week we talk a little less about people and a little more about business and monetization. Our guest is Doug Laney, author of the bestselling book, Infonomics.

Chapters

00:00 – Open & Introduction; 03:10 – Monologue; 06:03 – Doug Laney; 26:02 – Dispatches from Rock Bottom; 28:08 – Audio Rorschach Test; 30:35 – Recap & Close

According to some research, about half of large organizations are“Data Driven,” meaning they are "driving business innovation with data." According to other research, that number is about half of that. But wait, isn’t that what data is for in the first place? Not good enough! So in this episode, we call BS on Data Driven.

Our guest is Randy Bean, bestselling author of Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, and a regular contributor to Forbes, Harvard Business Review, and MIT Sloan Management Review on Data & AI leadership.

Chapters:

00:00 – Open & Introduction; 06:39 – Monologue; 09:22 – Randy Bean; 26:13 – Dispatches from Rock Bottom; 28:19 – Audio Rorschach Test; 29:55 – Recap & Close

Other Resources:

Surveys Cited in Dispatches: ThoughtSpot, Software Development Times, Wavestone (New Vantage Partners)

Data Debt is both a measure and a message. It helps businesses grasp how important data can be, because when all else has failed, many organizations have examined Data Debt and discovered a significant aspect of data resource management. To help explain Data Debt we welcome Barbara Forth.

Chapters

00:00 - Open & Introduction; 03:48 - Monologue; 07:04 - Barbara Forth; 22:10 - Dispatches from Rock Bottom; 24:18 - Audio Rorschach Test; 26:45 - Recap & Close

For so many of us, Data Quality is like a healthy diet and daily exercise. You want the benefits, but you don’t want to do what it takes to get them. Interrogating the data is the easy part. Sustaining a Data Quality program requires discipline and culture. It’s what we’ve been saying all along. It’s people. And one of those people is Tom Redman, whom we are excited to welcome to Rock Bottom.

Chapters

00:00 - Open & Introduction; 03:34 - Monologue; 06:18 - Tom Redman; 26:06 - Dispatches from Rock Bottom; 28:12 - Audio Rorschach Test; 30:19 - Recap & Close

So many times we get our words reversed when naming subject areas. Instead of Data Ethics, for example, we should be talking about ethics as applied to data. This ties our interest to the broader discipline. Our guest, Daragh O Brien, is an expert in the field and gives us a lot of food for thought both about how we use data and how we allow our data to be used.

Chapters

00:00 - Open & Introduction; 02:00 - Monologue; 04:44 - Daragh O Brien; 15:07 - Dispatches from Rock Bottom; 17:13 - Audio Rorschach Test; 19:20 - Recap & Close

The most common fears about artificial intelligence are from movies, and while there are reasons for concern, Skynet becoming sentient and terminating humanity aren’t among them. A lot of great progress is being made in several fields using artificial intelligence and machine learning. Our guest, Wendy Lawhead, shares her experience as a data science and AI practitioner for several companies across multiple industries. Most importantly, successful and sustainable AI requires well understood data so that time is spent on the analytics, not on the preparation. And well understood data requires culture and discipline. It’s all about people.

Chapters

00:00 - Open & Introduction; 02:13 - Monologue; 05:47 - Wendy Lawhead; 23:11 - Dispatches from Rock Bottom; 25:18 - Audio Rorschach Test; 27:16 - Recap & Close