Posts Tagged ‘machine learning’

The Data and AI Summit 2022 had enormous announcements for the Databricks Lakehouse platform. Among these, there were several exhilarating enhancements to Databricks Workflows, the fully managed orchestration service that is deeply integrated with the Databricks Lakehouse Platform and Delta Live tables too. With these new efficacies, Workflows enables data engineers, data scientists and analysts […]

Whether asking Siri to direct you to the nearest McDonald’s or inquiring about the weather to Alexa so you can decide whether to wear a jacket, many have grown accustomed to chatting with virtual assistants powered by artificial intelligence and machine learning to gather the information they seek. Given the convenience and intuition of such […]

In the previous part of this series, we discussed how enterprise search can accelerate innovation with a single source of truth. In this part, we will explore the fifth and final way to address information overload with AI-powered search: personalize interactions in the moments that matter READ PART 4: Addressing Information Overload: Accelerate Innovation With […]

In the previous addition of this series, we discussed how enterprise search can enable you to locate the subject matter expert you are looking for through a search results sidebar. This sidebar includes contact information related to the search term for quick and easy access. In this part, we will explore the fourth way to […]

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 […]