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John Friscia

John Friscia is the Editor of Computer Aid's Accelerating IT Success. He began working for Computer Aid, Inc. in 2013 and continues to provide graphic design support for AITS. He graduated summa cum laude from Shippensburg University with a B.A. in English.

January, 2018

  • 18 January

    Privacy and Metrics of Testing and Staging Environments

    The big hacks we have heard about have typically struck production environments, but staging environments sometimes have data worth stealing too. We need to become more mindful of the data used in CIAM (customer identity access management) systems and prevent untested code from reaching production. In an article for CSO magazine, Susan Morrow touches upon five areas of interest in protecting data: Data quality Data storage Code security Hardening endpoints Good security policy and best …

  • 18 January

    5 Limitations of AI and How to Persevere

    AI is a “moving target,” in that the cutting edge keeps cutting deeper. That being said, AI is still in its infancy, and there are sizeable limitations to its implementation. In an article for McKinsey & Company, Michael Chui, James Manyika, and Mehdi Miremadi discuss five of these limitations at length: Data labeling Obtaining massive training data sets The “explainability” problem The generalizing of learning Bias in data and algorithms Young and Dumb For AI …

  • 11 January

    4 Steps to Better Customer Data Strategy

    You need to be able to see the forest for the trees when it comes to your metrics, and vice versa. A strong comprehensive strategy has to be paired with day-to-day common sense. In an article for Business.com, Martin DeGhetto describes four steps that he believes applies this thinking to customer data: Measure quantitatively and qualitatively. Summarize your findings. Create new strategies. Transform strategies to action quickly. Know Your Customers to Know Yourself As it …

  • 11 January

    Evolve Your Understanding of A/B Testing

    A/B testing is one of the tried and true methods of answering the question, “Which one is better?” Its use is critical in software, marketing, and various other facets of business. In an article for Harvard Business Review, Amy Gallo provides a comprehensive refresher on the way to use A/B testing for the best possible results, informed by Columbia University’s Kaiser Fung. Test Your Assumptions Gallo explains that the theory behind A/B testing has existed …

  • 4 January

    Metric-Driven Cultures Drive Product Development

    Gut instinct, long the champion of decision-makers everywhere, has fallen out of favor. It is still critically important at some key moments, but day to day, metric-driven decision-making is becoming the norm. Or at the least, businesses certainly want to make that become the case. In an article for InformationWeek, Trevor Stuart discusses what a genuinely metric-driven culture looks like. Data Determinations Analytics tools are only the beginning of the conversation in becoming metric-driven. Among …

  • 4 January

    Companies Are Failing at Social Media on the Most Basic Level

    Although I still chuckle and roll my eyes at the term “social media guru,” the truth is that this kind of arrogant, mindless attitude toward social media is actually damaging businesses’ bottom line. Thriving in social media is much more complex and deserving of our attention than we realize. And it warrants better metrics than we are currently using. In an article for Harvard Business Review, Keith A. Quesenberry describes what needs to change. Anti-Social …

December, 2017

  • 21 December

    Changing the Definition of Software Testing in the AI Era

    AI is going to streamline—yet also turn on its head—much of what we know about software development. Software testing especially will become a whole new beast. In an article for CIO magazine, Kumar Srivastava discusses several areas where AI will bring change to business as usual. Artificial Difficulty For one thing, the point of functional testing will become to meet business criteria. AI will understand business logic, principles, and restraints and ensure that the software …

  • 21 December

    Digital Transformation Metrics That Work for Everyone

    The standard, time-tested key performance indicators (KPIs) are not so good at measuring the impact of digital transformation, which means new metrics are needed. What types of metrics will work for every business though? In an article for CMO.com, Stephanie Overby discusses metrics that can illuminate three different areas of transformation: Operational improvement Customer experience Financial impact Measured Growth A substantial aspect of operational improvement is whether people are actually buying into the change, so …

  • 13 December

    Aligning IT and Business Objectives and Measuring Value

    Many businesses are finally getting with the program and realizing that IT can be more than a cost center. But then again, “many” does not equate to “all.” In an article for Forbes, Vincent Bieri describes what IT can do in holdout organizations to demonstrate the genuine business value of IT. Making IT Matter Except in literal IT businesses, IT typically plays a supporting, background role in the delivery of products and services. The technological …

  • 13 December

    Why the Entire C-Suite Needs to Use the Same Metrics for Cyber Risk

    Cybersecurity has gone from “important” topic to “critical” topic, but the reality is that most businesses are still not treating it with the gravity it deserves. It is not for lack of trying though; this is just a big topic. In an article for Harvard Business Review, Jason J. Hogg prescribes a holistic approach for executives to apply cyber risk metrics uniformly across the organization. A United Front Right now, when cyber risk conversations occur …