Cyber attacks are imminent. According to a ThreatPost article, “Most organizations have experienced some type of attack within the course of a year, with only 7 percent of respondents claiming not to have experienced an attack at all.” An organization must change their rationale from “what will we do if we get attacked” to “what will be do when we get attacked.”  Having a solid plan will decrease the time it takes to fend off the attack and save the company thousands of dollars.

As the world grapples to understand what COVID-19 is and finding vaccines that will work, researchers have already created more than 50,000 articles that have information about the coronavirus. That is a massive amount of information that can be too overwhelming to make sense from. Some companies are now coming up with ways of enabling researchers to search through the web and process information fast for use in research.

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.

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.