Enterprise Information Security Strategic Technologies

| July 28, 2016

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ENTERPRISE SECURITY STRATEGIC TECHNOLOGIES An industry initiative sponsored bywww.emc.com/rsa-sbic113 TWEET THIS 3 AREAS TO FOCUS INVESTMENT CYBER- THREAT RESILIENCY OPTIMIZING END-USER EXPERIENCE CLOUD SECURITY Security leaders focus on resilience against cyber threats.

Spotlight

Imperva

Imperva® (NASDAQ:IMPV) is a leading cybersecurity company that delivers best-in-class solutions to protect data and applications – wherever they reside – on-premises, in the cloud, and across hybrid environments. The company’s Incapsula, SecureSphere, and CounterBreach product lines help organizations protect websites, applications, APIs, and databases from cyberattacks while ensuring compliance.

OTHER ARTICLES

MAKING ARTIFICIAL INTELLIGENCE SMARTER LIKE HUMAN BRAIN

Article | March 11, 2020

The latest advancements in Artificial Intelligence have been much tremendous and inspiring. It has become a part of everyday life for almost all consumers. In a large range of domains, the technology has transformed the way humans work and live. From smart home devices like Alexa, Siri, among others to large scale data security and fraud detection, all are inspired by and relied on AI. Despite this, there is still a large gap between current AI systems and human-like intelligence. Over time, the human brain has developed and advanced in order to respond to survival instincts, harness intellectual curiosity, and achieve demands of nature. While the human brain finds innovative ways to exceed its physical capabilities, human scientific pursuit amplified by the amalgamation of mathematics, algorithms, computational methods, and statistical models.

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Heuristics in Tech Writers Training

Article | March 15, 2021

Cognitive pathway and heuristic evaluation are two methods used to assess systems’ usability based on cognitive engineering, which uses cognitive psychology knowledge to understand the human mind’s skills and limitations to develop user-friendly systems. The cognitive pathway is the evaluation of a system's ease of learning by exploring its interface in which the user's tasks are broken down into actions necessary to perform a given task, and heuristic evaluation is the evaluation of the usability level of the user interfaces through basic rules. Although these two methods are part of the UX discipline, we Tech Writers also use them. Not ipsis litteris, obviously, but abstractly because of what originates them: cognition and heuristics. Cognition is the psychological function that acts in the acquisition of knowledge through logical associations. Heuristic is the human capacity characterized as discovery and/or invention focused on solving problems through experience and creativity. The documentation requests we receive do not always come with in-depth technical and functional specifications. It is not uncommon for us to venture into the system alone to learn and discover how, when, where and why certain functionality is being launched. In our learning and discovery process, we put ourselves in the user's shoes and decompose the necessary actions to carry out their tasks. We test patterns, experiment with basic (and alternative) flows using our experience and creativity to produce complete and detailed documentation. As we develop knowledge in the system we document, we mainly use the recognition heuristic based on the uptake of memories and the recognition of alternatives. We start having dèja-vu when we perceive similarities between the functionalities we already documented. Even if our recognition process becomes more organic and fluid, we still smell rats: why does this form have an extra field? What happens if I fill this field with another value? Tech Writers need to be partly laymen, as there has to be a certain lack of recognition for further inferences to exist. That is why having no background in systems technology can, contrary to popular belief, be extraordinarily favorable for Tech Writers’ training.

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Adding AI to Products: A High-Level Guide for Product Managers

Article | August 7, 2020

In Augmented Apps, we examine how product teams are exploring AI and ML to make their products more intuitive and enhance the user experience. AI and machine learning (ML) are not just catchy buzzwords; they’re vital to the future of our planet and your business. Datasets have quickly grown too huge, complex, and fast-moving for humans to grapple with. Integrating AI and ML into your product or service is becoming basic table stakes for staying in the market. Doing it right can mean the difference between thriving in the new world of data and disappearing from it.

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UNSUPERVISED MACHINE LEARNING TO IMPROVE DATA QUALITY

Article | August 3, 2020

When preparing data, I often go through many different approaches to reach a level of quality of data that can provide accurate results. In this article, I describe how unsupervised ML can help in data preparation for machine learning projects and how it helps to get more accurate business insights.What’s Wrong with Traditional Data Preparation Approaches?For accurate predictions, the data must not only be properly labeled, de-deputed, broad, consistent, etc. The point is that the machine learning model should process the “right” data. It is not entirely clear what are the criteria of the “right” data.

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Spotlight

Imperva

Imperva® (NASDAQ:IMPV) is a leading cybersecurity company that delivers best-in-class solutions to protect data and applications – wherever they reside – on-premises, in the cloud, and across hybrid environments. The company’s Incapsula, SecureSphere, and CounterBreach product lines help organizations protect websites, applications, APIs, and databases from cyberattacks while ensuring compliance.

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