Harnessing Analytical Insights and Illuminating the Physical Realm of Dark Data – An Interview with Markus Lindelow of Iron Mountain

Rafael MoscatelAnalytics, Artificial Intelligence, Big Data, Data Governance, GDPR, Giving Back, Information Governance, Interviews, Privacy, Records Retention Policy, , , , , ,

Harnessing Analytical Insights and Illuminating the Physical Realm of Dark Data – An Interview with Markus Lindelow of Iron Mountain

Eighth in a series of in-depth interviews with innovators and leaders in the fields of Risk, Compliance and Information Governance across the globe.

Markus Lindelow leads the IG and Content Classification Practice Group at Iron Mountain, the world’s largest information management company, where he’s been pioneering breakthrough analytic techniques for over a decade. He holds a Master of Science degree in Computer Information Systems from Saint Edwards University and consults across a broad set of industries. I interviewed him in November to discuss his thoughts on the evolution of metadata, content classification, AI, and how organizations are using the new pillars of data science to break down their silos, help customers get lean and discover the hidden value in their big data sets.

Markus, you work with all kinds of companies to help them better understand and address the often incomplete metadata tied to some of their most valuable information assets in the form of historical paper records and materials retained over decades. In many cases, institutional memory has been completely lost and they’re struggling to figure out whether to dispose of these business records, balancing costs of over retention with risks of untimely destruction. How does your team leverage diagnostic, predictive and prescriptive analytics to make sense of what little data they might have to make informed decisions?

Our content classification process focuses on making the best use of the available metadata. This means classifying records with meaningful metadata as well as analyzing the classified inventory in order to create classification rules for records with little or no metadata. We have identified a number of attributes within the data that tend to correlate with classification conclusions. We assess the classified records associated with an attribute to create a profile that may inform a rule to classify the unclassified records sharing that same attribute…

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Book Review: Infonomics – How to Monetize, Manage, and Measure Information As An Asset For Competitive Advantage by Douglas B. Laney

Rafael MoscatelAnalytics, Artificial Intelligence, Big Data, Book Review, Data Governance, Ethics, Information Governance, Information Technology, Management, Professional Development, , , ,

Are CFO’s finally ready to heed the advice of their Chief Data Officers and begin adding information assets to the balance sheet?

Although the commonly used quote “There is nothing more powerful than an idea whose time has come.” is regularly and erroneously misattributed to Victor Hugo, originating from his account of the French coup d’état of 1851 that brought Napoleon III to power, I feel it’s almost appropriate for Douglas B. Laney’s passionate argument on Infonomics. It’s an idea he’s been meticulously developing and arguing for almost two decades and has at last fully articulated in his latest book published by Taylor & Francis entitled Infonomics: How to Monetize, Manage, and Measure Information As An Asset For Competitive Advantage. Laney previously published his thoughts on Infonomics in Forbes back in 2012.

This brilliantly researched book, supported by industry giant Gartner, is steeped in both a mastery of information technology as well as economics, in particular accounting methodology and complementing business disciplines that range from supply chain economics to compliance frameworks.

Laney, with brevity and unfailing pragmatism, weaves his impressive understanding of the business of information, it’s flow and it’s enormous potential into a convincing pleading that I believe is a must read for not just the aspiring digerati, but any CFO, Chief Data Officer or executive hoping to survive and thrive in the Information Age.

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Turning Collective Wisdom Into Strength - An Interview with Andrea Kalas of the Association of Moving Image Archivists

Turning Collective Wisdom Into Strength – An Interview with Andrea Kalas of the Association of Moving Image Archivists

Rafael MoscatelArchives, Artificial Intelligence, Business Processes, Data Storage and Archiving, Filmmaking, Giving Back, Information Governance, Interviews, Millennials, , , , , , , , ,

Turning Collective Wisdom Into Strength – An Interview with Andrea Kalas of the Association of Moving Image Archivists

Fourth in a series of in-depth interviews with innovators and leaders in the fields of Risk, Compliance and Information Governance across the globe.

Andrea KalasAndrea Kalas is a recent President of the Association of Moving Image Archivists (AMIA) and a member of the Academy of Motion Picture Arts and Sciences (AMPAS). Prior to her current role at Paramount Pictures as SVP of Archives, she led the preservation program at the British Film Institute. I had the opportunity to sit down with her in June to discuss bit loss, digital asset management, artificial intelligence and the benefits that millennials are bringing to the profession.

Andrea, you’ve spoken and taught at length about the challenges of bit loss and how it affects the race to preserve not just America’s rich film history, but that of other countries and cultures.

How does a global team like yours even begin to prioritize its preservation goals as you race against the clock?

Digital preservation has the basic goal of avoiding bit loss, technically. However, the work that really requires technologists and archivists to effectively collaborate involves the treatment of files as valuable records, art or artifacts. This goes against so much of how basic information technology systems work. For example the word “archive” has been used as a term to mean data written off-line and put on removable media on a shelf, never to be touched again. This is a sure path to bit loss. For an archivist this definition is completely counter-productive. It as much about communication and clear technical requirements from archivists as it is building technical solutions.

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GDPR - General Data Protection Requirement - Information Governance Perspectives

Emerging From The Dense, Digital Fog – An Interview with Dr. Ulrich Kampffmeyer

Rafael MoscatelArtificial Intelligence, GDPR, Information Governance, Information Management, Interviews, Privacy, Professional Development, Records Management, SharePoint, , , , , ,

Emerging From The Dense, Digital Fog – An Interview with Dr. Ulrich Kampffmeyer

Third in a series of interviews with leaders in the fields of Risk, Compliance and Information Governance across the globe.

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Dr. Ulrich Kampffmeyer is the Managing Director of Project Consult in Hamburg, Germany and a renowned expert on digital transformations, business intelligence and enterprise content management. I had the opportunity to sit down with him in May and discuss the GDPR, artificial intelligence and social issues emerging from the dense, digital fog we all find ourselves in.

Ulrich, you write and teach extensively about the cultural and social changes in work environments that are a direct result of the emergence of digital transformations. Now that data is at the fingertips of everyone…

What changes should society expect that the business world may have already?

The pace of digital transformation accelerates day by day. Cloud technologies, artificial intelligence, IoT and other developments are happening so fast that there is a danger they’ll get out of control. The mightier AI becomes the larger the danger that it gets uncontrollable.

Consider Soshana Zuboff (one of the first tenured women at Harvard Business School) and her three laws:

  1. Everything that can be automated will be automated.
  2. Everything that can be informated will be informated.
  3. Every digital application that can be used for surveillance and control will be used for surveillance and control.

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