Posts Tagged ‘machine learning’

In the previous addition of this series, we discussed how enterprise search can deliver relevant results, even when what you are searching for has several names. In this part, we will explore the third way to address information overload with AI-powered search: locate subject matter experts in your organization READ PART 2: Addressing Information Overload: […]

In part one of this series, we discussed how enterprise search can leverage the power of machine learning to automatically deliver the most relevant results and proactively recommend content. This facilitates easier information retrieval for compliance audits. In this part, we will explore the second way to address information overload with AI-powered search: deliver relevant […]

Do you spend hours each month searching for, but not always finding, the information you need to do your job? These are often not just ‘like-to-have’ files, but rather those that you actually need to complete your work. Other times, they are the ones that would help you do your job faster and better, if […]

In our recent webinar, “Improve Medical Product Information Sharing With Virtual Agents,” Prabha Ranganathan, Kari Blaho-Owens, and Nico Frantzen discussed the ways that implementing virtual agents in life sciences companies’ call center operations can help to promote pharmacovigilance and more effectively service customers. Below are some of the questions we answered during the webinar and some that […]

This past week, Mazen Manasseh, business analytics director, Perficient, presented Power Business Insights With Machine Learning and Oracle Analytics. Forward-thinking organizations are increasingly using machine learning (ML) to increase the level of predictive analytics that they can perform on datasets. The ML capabilities of Oracle Analytics are not only rich, but easy to use with […]

Forward-thinking organizations are increasingly using machine learning (ML) to increase the level of predictive analytics that they can perform on datasets. The ML capabilities of Oracle Analytics are not only rich, but easy to use with built-in drag-and-drop functions onto visualizations, autonomous prediction execution, and custom-trained ML models. Join us to learn how Oracle Analytics […]

–Prabha Ranganathan and Ruby Lin contributed to this blog. Understanding how AI/ML can be used for innovative life sciences-related use cases is an area our industry lags. In this blog post, we’ll discuss several use cases in which unique AI models can be used to resolve critical issues effectively: NLQ (Natural Language Querying) – We […]

–Ruby Lin and Nicolas Frantzen contributed to this blog. Overview In life sciences, like many other industries, knowledge is power. Historically, the main challenge has been around sourcing, organizing, and meaningfully surfacing this knowledge. To solve this challenge, one needs to look at innovative and scalable ways, such as AI, to find and organize a […]

The Impact of Colon Cancer According to the National Institutes of Health (NIH), colon cancer is the third-leading type of cancer death in the United States. Cancer in the colon usually starts from polyps or other precancerous growths in the rectum or the colon (large intestine). As part of a colorectal cancer screening and surveillance […]

In a landmark effort to both guide and spur artificial intelligence (AI) and machine learning (ML) development in the medical field, the US Food and Drug Administration (FDA) has released an Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan. Background The plan was created by the FDA’s Digital Health Center of […]

Managing an analytics ecosystem for an organization is a mission critical responsibility. Whether it’s the accuracy of the reporting data, the latency of data refreshes, security enforcement, dashboard performance, turnaround of enhancement requests, scalability, or adherence to regulatory and organizational policies, there are various aspects that come into play when it comes to successful adoption […]

As AI continues to expand its reach into the enterprise, so does the desire to maximize its full potential. But the journey to realizing all of your AI aspirations can be a bumpy road with twists and turns if you don’t have an experienced consulting partner to help navigate. Technology maturity, opportunity cost, fast-changing regulations, […]