Cognitive computing is transforming the way we seek more fundamental applications of the internet. Intelligent Platforms are on the rise. It is also playing a notable role with several virtual assistant and advisor programs. Nowadays, experts are seeking the implementation of cognitive solutions into enterprise systems. In the content below, we define and discuss how cognitive computing affects the rise of intelligent platforms.
What is Cognitive Computing?
Cognitive computing describes technology platforms that apply a mixture of Human–Computer Interaction (HCI), Natural Language Processing (NLP), Machine Learning (ML), speech, vision, and more to mimic the functions of the human brain to enhance the decision–making process.
For Cognitive Computing applications, the contents are usually adjusted to suit a particular audience type. Some features in cognitive systems may be expressed as adaptive, contextual, iterative, interactive, and stateful.
In the era of computing, these systems comprise the third era and are set to focus on big data analytics and Deep Learning algorithms to offering useful insights. Thus, the use of neural networks, an essential concept in deep learning, makes up the most cognitive system.
What Features And Solutions Does Cognitive Computing Offer?
The goal of such is to create computer frameworks capable of solving complex issues without constant human involvement. With several commercial uses of cognitive computing, the features and solutions offered include the following:
The adaptive features include the system‘s ability to seek and mimic the human brain in its learning and adapting process. The method may require data collection and specific goals set as an output.
Identification of clear and concise elements like time, meaning, goal, task, and more makes cognitive computing more interesting and applicable. As a result, it may provide both unstructured and structured digital information using sensory inputs.
In comparison to the brain, cognitive computing also interacts with other elements in the system. Bi-directional interaction also makes available relevant outcomes using NLP.
The ability to recognize previous interactions within its process and return suitable information where needed is another key feature of cognitive computing. This feature follows a careful application of data and validation methods to guarantee reliable outputs, a feature of cognitive computing that will play a significant role in verifying and validating information be spread across social media.
What Does This Mean for Open Source Research and Analysis Professionals?
Incredible tools are being developed today to assist us in validating the information we come across online. While nothing will replace the human brain in determining what information is needed, where that information is needed and the context within which that information needs to be interpreted and analyzed, the rise of tools like I.seek are going to help.
Iseek is set to break new ground using cognitive computing solutions to enhance decision-making. This advanced platform permits users to compose a networked ecosystem for advisers, agents, and bots towards comprehending, ingesting, interpreting, and transforming data into useful insights and actions.
This tool and many others will be available on Echo’s Cyber Intelligence Dashboard, scheduled to be released in 2020. Sign-Up for the Echo Newsletter to stay updated on CID’s release by subscribing below.
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Buddy is a military veteran, former intelligence officer, and entrepreneur who teaches dozens of courses on a variety of intelligence-related topics. He currently serves as the Chief Executive Officer of Echo Analytics Group and is based in Tampa, Florida.