Posts Tagged ‘machine learning’

Recognized in the Forrester New Wave report for Computer Vision services

Perficient Listed Among Significant Computer Vision Providers in Forrester New Wave Report

We are excited to be listed by Forrester in its recent report The Forrester New Wave™: Computer Vision Consultancies, Q4 2020 – The 13 Computer Vision Providers That Matter Most and How They Stack Up. The New Wave™ report differs from the independent research firm’s traditional Forrester Wave™ report in the way that it only […]

IBM Cloud Pak for Automation is more than AI and ML.

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 […]

Whodrug Koda

[Webinar Recording] Automate the Coding of Drug Names With WHODrug Koda

On July 23, 2020, Caz Halsey, Director, Life Sciences, Perficient, and Damon Fahimi, Product Manager, Uppsala Monitoring Center, hosted a webinar that discussed WHODrug Koda and how it can be integrated with other systems using an application developed by Perficient. The topics covered include: WHODrug Global and Drug Coding Background An Introduction to WHODrug Koda […]

Computer And Tools

Tune the dials to optimize your Spark machine learning pipeline

Tuning Spark for your machine learning pipeline can be a complex and time consuming process. Store and compute play a different role for your Spark cluster in different stages of your machine learning pipeline. Spark defaults are never the right way to go. It makes more sense to know what settings are most effective at […]

Project Cortex Brain

Preparing for Project Cortex and the Future of Knowledge Management

What if you had a Wikipedia of all of the topics that are being discussed at work? How would that change your productivity? Imagine a place that had an explanation for the acronyms, pages with information about the projects and processes at work linked to the experts, files, meetings. Imagine a way to navigate who […]

Join the virtual AWS expert panel about data science

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 […]

Focus And Dedication Got Her Far

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 […]

Staying competitive in 2020 with data and analytics.

Dirty Data in Financial Services: The Enemy of Machine Learning

Previously, I discussed machine learning and the traits that separate it from artificial intelligence. This blog analyzes how dirty, or bad data, is the enemy of machine learning. While entirely accurate and complete data is the goal of a comprehensive data management program, many firms fall somewhat short. Siloed governance projects and the lack of […]

2019 Homehero Sm 640x322 (2)

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 […]

Artificial Intelligence: Success Criteria in Life Sciences

Previously, I dove into how artificial intelligence helps review, and provide statistical analysis to data. The final blog of this series outlines how to be successful with an artificial intelligence implementation. Setting initial expectations and not promising a magic bullet is a key factor in determining the success of an initiative that focuses on deploying […]

retirement services

Drive Company-Wide Solutions in Retirement Services with AI

Previously, I analyzed fraud detection and content management methods, with the assistance of artificial intelligence (AI). In my final post of this blog series, I explain the opportunities artificial intelligence provides to retirement services transformations. For many 401(k) plans, passing ADP/ACP testing can be a very difficult and challenging endeavor, and there can be severe […]

All About Machine Learning with Oracle Analytics

  Perficient Presents at Oracle OpenWorld 2019 – Live from the show floor, a director in our analytics team delivers an overview of the machine learning capabilities of Oracle Analytics Cloud with its built-in ML algorithms. Machine Learning is a science that existed for several decades. However, it wasn’t until the last 10 years that […]

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