5 Takeaways from the AI for Healthcare Virtual Conference

As we navigate the daunting challenges of pivoting our current healthcare system to better treat and contain the spread of COVID-19 and future pandemics, artificial intelligence has taken center stage. The potential of AI for healthcare transformation is vast and all-encompassing –– it can improve the quality of patient care, streamline hospital processes, reduce bias, accelerate detection, and prevent disease. 

In our first-ever virtual conference titled, “AI for Healthcare in the Time of COVID-19,” we gathered thought leaders from technology companies and healthcare organizations to discuss how AI is helping to stem the tide of COVID-19 cases and explore the practical applications of this technology in the healthcare space.

Here are some of the top insights about AI’s help in the response to COVID-19 and what AI can bring to the medical field’s understanding, diagnosis, and treatment of disease. 

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Sorting Algorithms Explained

Relevant are algorithms sorting how?
In a sentence, word order is essential to convey the intended message. The same applies to programming: Having sorted datasets makes it possible to organize massive amounts of data while making it quickly searchable.

That’s why you often find sorting algorithms in the first pages of programming textbooks. In this article, we describe sorting algorithms, explain how they work, and illustrate how to choose the right sorting algorithm for your program.

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Udacity Launches New SQL Nanodegree Program for Today’s Data-driven Professionals


Think about the role that Big Data plays in our day-to-day lives and how we contribute to it. Every time we tweet, send emails, search online, or ride in a connected car, we’re creating thousands of data points. 

Those data sets are used by companies (both large and small) to help inform the creation and improvements of new products, services, and business strategies.

It’s predicted that by 2025, an estimated 463 exabytes of data will be created each day globally, reports Weforum.org. As more data is created, more companies have expressed a need for qualified employees with SQL skills (Structured Query Language, the first language of data analysis, and universal language for relational databases) to analyze and create actionable intelligence based on that data.

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Data Science Jobs Continue to be In-demand

“Data is the new oil” said Clive Humby, a renowned mathematician. In a world where 2.5 quintillion bytes of data are created each day, it’s no surprise why data science jobs are in the new hot commodity. 

With a median salary of $107,801 and job satisfaction level of 4 out of 5, it makes sense to consider it as a career option.

Data science jobs ranked No.3 on Glassdoor’s list of best jobs in America 2020 — after being consistently ranked as the No. 1 career option since 2016. 

What’s more, data scientists have also been ranked as No.3 in LinkedIn’s Emerging Jobs Report 2020. So this career option is on track to stay and flourish.

Data science jobs

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What is Natural Language Processing?

NLP word on blurring background, natural language processing cognitive computing technology concept

Each year, AI practitioners compete for the Loebner prize. This is an implementation of the Turing test where a computer‘s “humanness” is assessed by a panel of judges. The machine passes the test if it manages to convince the judges that it – and not its human competitor – is a real person. How does it do this? Simply by using language. Human-like conversation is but one of the many applications of Natural Language Processing, NLP for short.

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Survey Finds Companies Want to Reskill the Workforce for the ‘Future’

Transformation often involves struggle, especially for organizations seeking to adapt to emerging technologies like Artificial Intelligence, Machine Learning, Data Science, and Blockchain. Where will organizations find the talent and expertise to drive their businesses forward?

To better understand how organizations are keeping pace with trends in automation and changing needs, we commissioned a survey of more than 600 Learning and Development, Digital Transformation, and Innovation leaders across industries in North America to find out their top priorities for workforce development in 2020. 

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