AI ETHICS

“You’re debiasing the model by changing its perspective on the data;  We’re not fixing the underlying data. We’re tuning the model.”

 

The Wall Street Journal — Seth Dobrin

Selected Articles

Articles and Academic Publications

How IBM is advancing AI governance to help clients build trust and transparency

 

As more and more organizations scale their use of AI, they’re challenged with mitigating the associated risks and building genuine trust in AI decision-making. When it comes to trustworthy AI, we believe that consumers, clients and all stakeholders need to know how AI impacts their day-to-day lives, organizations, and work. … 

New Certifications to Help Close the Data Scientist Deficit

 

Well, In this era of swelling data, the mining of insights to predict future outcomes with greater accuracy, to automate tasks, and to recommend actions based on that data is growing increasingly critical for organizations and businesses of all sizes...

Martin Fleming and Seth Dobrin

Helping Data Science Flourish – One Client at a Time

 

By now, in 2018, most enterprises have established some type of program to utilize math to help them make money. For many this means taking advantage of data science, or more specifically, machine learning. But despite seemingly widespread adoption, some studies show that more than two-thirds of these companies are failing to realize value from their data work ...

Seth Dobrin

Countdown to GDPR: Yes, it applies to you—no, you don’t have to panic

 

Are you dealing with information that belongs to EU subjects? Does your company have a “Data Protection Officer”? If the answer the first question is yes and the answer to the second is no, then the new General Data Protection Regulation (GDPR) probably applies to you, and you might not be prepared to comply. That’s ok. There’s still time. But first… 

Unifying Data Governance for the Future

 

Mastering fast-growing data volumes across the enterprise is one of the first and most critical steps in establishing a cognitive business. To do it requires adopting advanced analytics that enable an organization to better understand and control its data, but also to gain insights that set the stage for driving new business models… 

The Journey Continues: From Data Lake to Data-Driven Organization

 

Introduction: It was obvious from the start that the data lake was a different type of project. It was so much more than new data processing technology built around the Apache Hadoop open source platform. The data lake needs a new type of information governance, and this governance affects every aspect of the way an organization collects, processes, and governs their data—challenging traditional lines of control and ownership. However, when we began the partnership between IBM and ING, none of us realized the true extent of the impact it would have, both to an organization’s operation and the way we design data driven solutions...

Mandy Chessell, Ferd Scheepers, Maryna Strelchuk, Ron van der Starre, Seth Dobrin

think.jpg

Image credits: IBM Think Digital Event Experience logo, in collaboration with the design agency Field 

Journey to Digital Series

Raiders of Every Industry: The Journey to Digital

 

Companies have a choice today. They can be the disrupted or the disruptor. Every industry will be disrupted in the coming years. None are safe. The safer they seem, the more susceptible they probably are. In fact, only two things stand a chance of protecting incumbents ...

The Journey to Digital: Part 2, Data Transformation

 

Companies have a choice today. They can be the disrupted or the disruptor. I laid out the case for this in Raiders of Every Industry: The Journey to Digital and Journey To Digital: Part 1, Table Stakes.

In those introductory posts, I note that becoming digital is typically a three-phase journey ...

The Journey to Digital: Part 1, Table Stakes

 

In the initial post in this series, I gave a picture of the entire digital journey. With this post, let’s dive into part 1 of that journey: Table stakes. Effectively transforming a company requires a commitment to do things differently, and requires that your partners and vendors do things differently too ...

The Journey to Digital: Part 3, Insight Transformation

 

In those previous posts, I laid out our perspective on what a true digital transformation requires. I introduced the need for automation in the form of machine learning in software and platforms and described how I advise clients to build their data strategies as core data assets. 

The Journey to Digital: Part 4 The Final Chapter, Digital Nirvana

 

The final stage is where the enterprise really begins to see fundamental changes in its business operations and performance. These changes include how you do business, what you offer, how you offer it, and to whom ...

Governance

Rise of the Policy Catalog

 

The term ‘data governance’ is of course deceptively simple. In reality, it refers to multiple, interlocking, co-dependent categories of data management, organizational collaboration, and policy — from data ownership to data supply chains, and from data protection and legal holds through to compliance with regulations ...

Machine Learning and Governance: An Interview with Seth Dobrin

 

Well, I’ll first say that we’re already doing a lot of things right, and it’s clear that our customers trust us and we make some of the best products on the market — just ask the analysts ...

Data Science

Don’t Let Data Science Become a Scam

 

Companies have been sold on the alchemy of data science. They have been promised transformative results. They modeled their expectations after their favorite digital-born companies. They have piled a ton of money into hiring expensive data scientists and ML engineers ...

Six Steps Up: From Zero to Data Science for the Enterprise

 

Data has intrinsic value to the enterprise, but how to quantify these data assets has been a struggle for many organizations and for many enterprises as they establish modern data practices and data organizations ...