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.
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.
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.
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.
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.
If you’ve recently found yourself rethinking your career options, it’s never been a better time to find a “new collar” job. Or, if you’ve always wanted to enter the world of tech, consider a position as an Android developer. Roles in Android development are not only stable and well-compensated, but they offer a clear career trajectory.