Secure Verifiable Anywhere Anytime Digital Driver’s Licenses

Today physical identity cards are used to represent personally identifiable information (PII). A common example is a driver’s license (DL) that uses paper or plastic to represent an individual’s credentials issued in compliance with ISO/IEC 18013-1. However, the representation of PII may soon be changing as the interest in mobile driver licenses is growing. As government agencies explore digital DL […]

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Rotating picture is not the magic wand to prevent fake IDs

As government agencies consider the deployment of mobile driver licenses (a.k.a. digital driver licenses or DDLs), much attention is being placed on the use of facial recognition technology for the acquisition and verification of a digital driver license. According to the American Association of Motor Vehicle Administrators (AAMVA), there is a broad list of functional requirements associated with a mobile […]

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Mobile Multi-Factor Authentication for Digital Driver Licenses

Several Issuing Associations (a.k.a. DMV Agencies) have inquired about the applicability of biometrics, such as facial recognition, with a mobile driver’s license (mDL) solution based on IBM Mobile Identity. These inquires can be associated with two mDL scenarios: Validating a selfie against the photo in a DMV system of record to authenticate an individual during acquisition of a mDL. Contributing […]

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Spark on z/OS and Jupyter: fast, flexible analysis of mainframe data

Many enterprises are faced with the need to expand data processing access to users without impacting mission-critical transactional application environments. The trending approach to this problem is to move the data from these systems of record to a data warehouse. Moving data-at-rest to a mirrored data repository for analytics can yield costly side-effects such as expensive migration workloads, data concurrency and […]

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Unleashing Exploration on Enterprise Data

Enterprise customers have huge investments in transactional data systems, yet they struggle to provide their users with flexible and timely exploratory access to this data. One solution to this problem is to empower these users with the ability to use Jupyter Notebooks and Apache Spark running natively on z/OS to federate analytics across business critical data as well as external […]

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Climatology Analyst

Today, there has been a great deal of discussion around climate change and global warming in the news. The National Climatic Data Center within the National Oceanic and Atmospheric Administration (NOAA) monitors weather stations from around the world. Since NOAA data is publicly available, it is a good data source for demonstrating how the citizen analyst can access large public […]

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Mobile Identity On-the-go with Marist College

In today’s fast paced society, people are always on the go. We are constantly traveling from place to place all while striving for the utmost convenience and control over our every day tasks. IBM Mobile Identity (MI) offers individuals instant access, availability, and reliability to their identification documents at any moments notice right from the palm of their hand. Its […]

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Case Study: Cloud Analytics for an Assisted Reproductive Market

Imagine you are the CIO of a healthcare firm and a critical business decision is pending marketplace insights. Your data science skills are limited, your data is too big for your spreadsheet application, and your budget cannot afford a proprietary software solution. What do you do? Businesses often have situational analytic needs that require access across multiple data sources. Healthcare […]

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Jupyter Notebooks: Content Management Contributions

There has been a growing interest in open source technologies associated with data processing and analytics within the mainstream business marketplace. Our clients seek more than the timely discovery of insights, they desire to quickly and easily communicate their findings through visualizations and narration while also having the option to share their results as reproducible research. In response, we have […]

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