Rachel Sholder, Data Science Intern, Analytics and Visualization
Data analysis is the process of collecting, inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and then communicating your results to have the biggest possible impact. According to Merriam-Webster, a process is a series of actions or steps taken in order to achieve a particular end. While the “particular end” of data analysis might be a presentation to a client, my “particular end” I have been working towards achieving is a successful end to my summer internship. Continue reading Data Science 101: Three Takeaways from My Internship
Editor’s Note: This is the fifth post in our new series introducing our rockstar summer interns! This post is from Jack Hickey, Healthcare & Life Sciences Intern.
I am currently a student at Northwestern University and will be going into my junior year in the fall. At Northwestern, I am pursuing my Bachelor of Science in Chemical Engineering with a specialization in Environmental Engineering and Sustainability. As part of my engineering curriculum, I have taken many math and statistics classes such as Probability and Statistics, Multivariable Calculus, Linear Algebra, and one computer science class learning Python. Continue reading Meet the Interns: Jack Hickey, Healthcare & Life Sciences Intern
Editor’s Note: This is the second post in our new series introducing our rockstar summer interns! This post is from Rachel Sholder, Data Science intern for Health and Life Sciences.
I am excited to be working as a Data Science Intern at Knowledgent. I just completed my junior year at Lehigh University in Bethlehem, Pennsylvania, where I am pursuing a Bachelor’s Degree in Mathematics with a Probability and Statistics concentration (along with a minor in Actuarial Science and a minor in Psychology). Continue reading Meet the Interns: Rachel Sholder, Health and Life Sciences Data Science Intern
In case you missed it, Knowledgent’s Data Scientist Dr. Mitchell Shuster recently served as a panelist on a round table webinar. Titled “The Business Potential of Machine Learning and Cognitive Computing,” the webinar featured expert insights on the next phase of machine learning, including deep learning, analytics, and cognitive computing.
“Machine learning and cognitive computing are becoming a critical portion of our technology infrastructure,” said Mitchell. “As with the rise of the Internet and social media, businesses that embrace these technologies will reap tremendous rewards and gain significant competitive advantage over those who fail to adapt to the changing landscape.”
Here are our major takeaways from the webinar: Continue reading “Beware the Hype!” And 4 Other Lessons in Machine Learning
What questions should I be asking to get the most out of my data with machine learning? What are best practices for using machine learning in my organization?
Our own Informationist and Data Scientist Mitchell Shuster will be tackling these questions and more on an IEEE-sponsored round table webinar tomorrow. Titled “The Business Potential of Machine Learning and Cognitive Computing,” this webinar will cover the next phase of machine learning, including deep learning, analytics and cognitive computing. Click here to register for the webinar.
Prior to the webinar, I sat down with Mitchell to talk about the hype and reality around machine learning: Continue reading Q&A: Mitchell Shuster on Machine Learning Hype vs. Reality
Our client, a global biotechnology organization, was struggling to perform basic-level analysis and script analysis. They also needed to build patient timelines to understand treatment pathways and disease progression across their product portfolio and areas of interest.
To accomplish these goals, they wanted to use big data analytics to leverage real-world evidence and observational medical outcome information. The insights gleaned from this data would support commercial and clinical operations, medical affairs and, ultimately, expand coverage to drug safety (and resource and learning development). Continue reading Case Study: How a Global BioTech Organization Leveraged RWE to Enhance Commercial and Clinical Operations
Editor’s Note: This week, we’re launching our new series: “Ask the Informationist.” Every month, one of our Informationists will answer relevant and thought-provoking questions on a wide range of topics in data and analytics. Continue reading Ask the Informationist: 5 “New” Types of Advanced Analytics
We are very excited to announce that our data scientist Mitchell Shuster will be a panelist on a round table webinar on machine learning! The webinar will take place on Wednesday, May 27, from 1-2 pm Eastern Time.
Continue reading Knowledgent Data Scientist to Speak on Machine Learning Webinar
Chris Blotto, Knowledgent’s Chief Technology Officer, will be presenting at the upcoming Bio IT World 2015 taking place at the Seaport World Trade Center in Boston, MA from April 21-23.
This event provides the perfect venue to share information and discuss enabling technologies that are driving biomedical research and the drug development process.
Continue reading Don’t miss Chief Technology Officer Chris Blotto at BioIT World
As part of our commitment to delivering the best value to clients by leveraging a wide variety of platforms and technologies, we’ve recently partnered with Novetta, a leader in advanced analytics technology.
In this guest post, the first in a three-part series, Novetta Director of Product Management Jenn Reed discusses the challenges of combining data from multiple internal sources in Hadoop. Continue reading Hadoop Analytics: Not So Easy Across Multiple Data Sources