What do your customers crave from your brand? It’s simple – Personalization. The Next in Personalization 2021 Report from McKinsey reveals that personalization matters more now than ever with 71% of consumers expecting companies to deliver personalized experiences. One way you can demonstrate customer intimacy and personalization is with search. And not just your average […]
Posts Tagged ‘ML’
[Webinar Recording] Power Business Insights With Machine Learning and Oracle Analytics
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 […]
[Webinar] 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 built-in drag-and-drop functions onto visualizations, autonomous prediction execution, and custom-trained ML models. Join us to learn how Oracle Analytics […]
Training Multiple AI Models for Life Sciences Use Case
–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 […]
FDA Approves Marketing of AI/ML Device To Find Colon Cancer
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 […]
Overview of FDA’s AI/ML-Based Software as a Medical Device Action Plan
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 […]
[Podcast] Data Realities for Implementing AI
According to the IDC’s Worldwide Artificial Intelligence Spending Guide, implementing AI has become a necessity for businesses to become more agile, innovate, and scale. And it appears that more companies are coming to terms with this as global spending is expected to reach more than $110 billion by 2024. In season 1 episode 3 of […]
Cloud Pak and IBM Automation Document Processing: It’s more than AI and ML
As our clients continue their digital transformation journeys, challenges with traditional document capture solutions are coming to the forefront. Managing and configuring classification sample sets and extraction rules in layout-driven, legacy solutions, is time consuming and expensive. Modern digital businesses require systems that can continue to provide accurate results as forms and businesses evolve. Existing […]
How to Use AI and NLG to Write Marketing Content
Back in early 2019, I became interested in how I could use Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Generation (NLG) to write content for my blog posts. The idea was elementary: come up with a story idea and let an AI tool write the content! I didn’t want to create a tool […]
Data Science Virtual Expert Panel Presented by AWS
Join us and our partner Amazon Web Services (AWS) for a virtual Q&A session on Wednesday, April 15. AWS will feature one of our experts to speak on a panel about the evolution and progress being made to solve critical business problems such as customer personalization and forecasting through the use of data science. Perficient […]
Taking Advantage of AI and ML in Financial Services
Previously, I analyzed how dirty, or bad data is the enemy of machine learning. The final blog of this series describes the advantages of artificial intelligence and machine learning in financial services. Many financial services organizations have already begun to take advantage of ML technology because of its proven ability to reduce operational costs, increase […]
Machine Learning in Financial Services: A Discipline Under AI
The term artificial intelligence (AI) was first coined in 1956 by the computer scientist, John McCarty, when he held the first academic conference on the subject at Dartmouth College. McCarty, who is widely recognized as the father of AI, defined it as “the science and engineering of making intelligent machines.” Over time, the meaning of […]