Healthcare, Technology

Was The World Short-changed by AI For COVID-19?

Image by Gerd Altmann from Pixabay  COVID-19 came hitting hard at the very fabric of our culture, we were ill-prepared for it. Billions of people worldwide are under lockdown, thousands have died, and more are still dying.  Globally, governments, businesses, and individuals are confused, facing an uncertain economic future. Without mincing words, the world was completely unprepared for COVID-19 despite our technological advancements in the areas of AI and machine learning, hence, we are suffering the consequences and direly so.  It is on record that an artificial intelligence company called BlueDot was the first to notice that something weird was going on and, therefore, went ahead to alert the world of a cluster of “unusual pneumonia” cases occurring around a market in Wuhan, China, about the midnight of December 30, 2019. The company likened the symptoms to those of the SARS, an outbreak that was experienced in 2003. Incidentally, before the World Health Organization (WHO) or the Chinese authorities eventually got around to informing us nearly a week after the emergence of COVID-19, it was late and the harm had been done. The question is, how did we get it wrong?  It would have been expected that since we have progressed so much…

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Technology

Benefits Of Artificial Intelligence With Python Language

Photo Credit: skoop Flickr via Compfight cc When thinking about your subsequent AI project, there will be chances that you will be confused about which language to pick. The list might include Prolog, Python, LISP, C#, etc.  Which one to pick, also depends on factors such as ease of code, developer experience, personal preference, etc. In the current times, the language that is gaining popularity is Python. The benefits of Artificial Intelligence with Python are massive.  Python is an interpreted & high-level programming language that emphasizes on RAD or rapid application development.  Why this language has gained such momentum especially in AI is listed as follows: Fewer codes  When talking about Artificial Intelligence pros and cons, the pros definitely outweigh the cons. AI comes with a lot of algorithms.  So why do you think the benefits of AI with Python increase? Testing becomes a lot easier with Python.  Easy writing & execution of codes is possible with this language. Even with the 1/5th code, Python can integrate a similar logic in contrast to OOPs languages.  The approach of this language is interpreted which is why it merges well with the features of artificial intelligence as well. This approach enables checking…

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Technology

Exploiting Telemedicine’s Full Potentials in Battling COVID-19 Pandemic

Image by Alexey Hulsov from Pixabay  Hospitals, medical and health centers ideally should be the places the sick and ill alike visit for succor and treatment but with the ravaging COVID-19, shouldn’t we start considering telemedicine? The World Health Organization (WHO), governments, medical practitioners, and health workers around the globe have all been calling for remote working and far-reaching social distancing among other measures as a way of trying to contain COVID-19 surge. A visit to a hospital clearly depicts the reason why you should totally avoid it now unless it’s absolutely impossible to do otherwise. Usually, our hospitals are filled up with patients and caregivers who are not medical practitioners but have simply come to help them in revitalizing the patients, all these people are usually in proximity with the patients, where bacteria and viruses can easily be transmitted.  Since it has become imperative that a visit to the hospital these days can be a sure way of contracting COVID-19, the most obvious measure to turn to urgently is telemedicine. Telemedicine which is also known as telehealth or e-medicine is all about digitally and remotely delivering healthcare services, which include examinations and consultations by the use of telecommunications infrastructure.  With telemedicine, patients…

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Technology

How IoT Data Lifecycle Can Work With AI at The Edge

The era of IoT brought along a big transformation in the enterprise data lifecycle but as if that was not enough, the implementation of  AI on the edge is completely revolutionizing the whole ecosystem in order to make sure it meets real-time analysis needs. It’s very obvious that IT pros will be making grave mistakes if they think they can afford a room for guesswork in IoT infrastructure planning. The fact on the ground these days is that your digital architecture can undergo changes unpredictably within a space of two years because IoT and AI have seriously started playing great roles in the gathering and handling of data. Minimal diversity in the traditional data lifecycle  When we have not started operating in clouds, it was easier for IT pros to execute, understand, and control the data lifecycle, since the enterprise data lifecycle was relatively manageable and essentially static and circular. Then, data was more structured, less diverse, and traversed only a few routes to lesser destinations.  At that point in time, we did not have the need for the mazy steps we have now in the traditional data lifecycle you could easily carry out the following processes on your data…

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Technology

Capitalizing On AI for Your Content Security

Image by PublicDomainPictures from Pixabay Based on the continually changing nature of technology and evergreen opportunities for content creation, content security can never be stagnant. It should be seen as a translational target in the global digital age.  Nothing makes this more relevant than the nature and dimension of cybersecurity threats as well as the need for digitized responses needed for trust and loyalty-building that are continually in a state of transformation as we transcend the radically changing digital workplace. However, the good news is that AI has come to secure your content at all endpoints. The security of your content commences by first securing access to any shared repository, from there you move on to particular folders, and lastly, to individual files stored within it. Your brand’s content management system(CMS) should customarily have in place security features and functions for maintaining access controls, this will ensure that only authenticated people and groups will have the authorization to access specified files. Implementing content-based security means you have enshrined a protection perimeter that will guard certain tasks that are carried out on your network, which could include who has the right to view, edit, email, download or print a piece of content. It can…

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Technology

How AI in The IoT Customer Journey Enhances CX

Image by John Hain from Pixabay The advancement in automation which saw the birth of AI and machine learning is radically transforming the customer journey. Brands are capitalizing on this advancement to engage customers and prospects, with the ultimate aim of enhancing CX (customer experience).  The Cisco Visual Networking Index: Forecast and Trends, 2017–2022 White Paper, estimates that there will be 28.5 billion IoT devices by 2022, up from 18 billion in 2017, and these IoT devices can promptly make decisions as a result of very fast analysis of mammoth amounts of data. With these figures as a yardstick, your brand should be focused on how to ensure that your digital, marketing team, sales, R&D, and customer service are prepped for this unprecedented transformation. IoT Agenda reports that the IBM Institute for Business Value in a study, titled “The AI-Enhanced Customer Experience,” said that 74% of respondents were of the view that AI will drastically impact their initial perspective of CX. To achieve this, however, you require a broad outlook and a cohesive approach in the use of AI in augmenting CX at large.  Your aim will be defeated if you ordinarily focus your attention on one IoT device or…

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