Scott Koegler

Scott Koegler

Scott Koegler is Executive Editor for Big Data & Analytics Tech Brief

Antidotes and Cures May Be Hidden in Massive Data Stores

As COVID-19 continues ravaging all the continents of the world, the technology industry has been working around the clock to find a way to help combat the deadly virus. However, it is becoming challenging for the sector that has a limited reach to single-handedly tackle such a massive outbreak more so when it comes to trying to find treatments. Regardless of this, companies that have massive computing resources have been supporting different initiatives offering their resources to effortsaft that help in the fight. The sector is awash with hopes in the ability of AI to help the world back to its feet after being turned upside down by COVID-19. The AI-Aided drug discovery may be a magic bullet as the world tries whatever is possible to come up with the right vaccine and possibly a cure to avert more deaths from the current pandemic.

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City Planning by Guesswork is Being Replaced by Data Analysis

As new technologies keep emerging, city planning will no longer be based on guesswork as it once was. With the help of big data and analytics, things are much easier when it comes to getting the right data for planning than before. City dwellers and by extension, all citizens are walking around with data transmitters and are using different applications that gather data on their physical movements, consumer behavior, and habits. With all these assets at their disposal, city planners can predict the potential interest and movement of people and propose how and where specific areas, for example, a grocery store, can be built with accuracy.

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This Is Why Data Scientists Are Needed For Big Data

As artificial intelligence (AI) continues becoming an area of interest for many enterprises, more and more companies are now coming to terms with the importance of big data and having the right skills and people in place to fulfill their goals. Specifically, there has been a significant surge in demand for data scientists in many companies as AI, as well as its application in machine learning (ML) and predictive analytics, among others continue gaining momentum in organizations.

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