Three Steps to Successful Information Governance

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Download this brief to learn the three crucial steps in any information governance strategy: understanding your data landscape, integrating policy with technology, and automating remediation.

Spotlight

NeuroSoph

NeuroSoph, Inc. is an Artifical Intelligence (A.I.) Product and Services Provider founded in 2018 and headquartered in Alberta, Edmonton, Canada. NeuroSoph believes that artificial intelligence technology solutions can enable organizations to: Achieve things that were not possible in the past; -Gain a competitive advantage in the marketplace; Focus on mission-critical tasks and objectives (e.g. increasing the bottom-line).

OTHER ARTICLES

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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AI Decision Making – Driving Company’s Business Success

Article | March 15, 2021

The latest report from Interactions, titled “THE STATE OF AI DECISION-MAKING”, reveals some surprising insights from 151 mid-to-high level managers in the U.S. The Harris Poll conducted the online survey to the marketers – who collectively work for companies with $400 million+ revenue and familiar with AI solutions. Nearly 96% of surveyed marketers confirmed that AI technology is extremely crucial for their business’ success, and 93% of them have been involved in an AI deployment at their workplace. However, around 52% think their company did not adopt technology much as it is supposed to be.

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How to Leverage Intent Data to strengthen Your MarTech Stack

Article | March 15, 2021

Wouldn’t it be great if you’d know where to find prospects that are most likely to buy? Or what’s bugging them to delay buying? If it was possible to get insights on the purchase-intent of your buyer? Or if they are truly looking to buy? Most businesses spend huge amounts on advertising campaigns and still don’t come any close to meet their intended targets. If you’re looking to shoot a bulls-eye, landing huge B2B buyers from profiling alone is an imprecise way. This is where Intent Data comes in. Intent is an efficient tool that helps B2B marketers in precise prospect targeting based on their behavior when in the purchase cycle. Are you receiving mixed signals from your buyers? Intent Data is the solution. And it’s burying traditional marketing ways deep into oblivion. These tactics are widely adopted (40% to be precise) by B2B marketers around the world. But the information on ‘intent data’ has is found to be random, scattered and disconnected. Getting the customers’ buying journey mapped and monitored is becoming a sophisticated task for marketers today.

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How Enterprise Companies Are Changing Recruitment With AI

Article | March 15, 2021

The writing is on the wall, boldly: Artificial intelligence is here to stay, and it is transforming every aspect of life and business. Over the years, the adoption of AI in recruiting has increased, and that has subsequently improved the hiring processes of enterprises that take advantage of it. Initially, its introduction wasn’t so welcomed, not just because experts believed that it would take the jobs of HR personnel, but particularly because of the possibility that it would make the recruitment process overly robotic and remove the sacred "human" factor in HR.

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Spotlight

NeuroSoph

NeuroSoph, Inc. is an Artifical Intelligence (A.I.) Product and Services Provider founded in 2018 and headquartered in Alberta, Edmonton, Canada. NeuroSoph believes that artificial intelligence technology solutions can enable organizations to: Achieve things that were not possible in the past; -Gain a competitive advantage in the marketplace; Focus on mission-critical tasks and objectives (e.g. increasing the bottom-line).

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