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 […]
Posts Tagged ‘machine learning’
Nearshore Software Development in Action: What Delivery Success Looks Like
The stakes to evolve your business and adapt to new realities have never been higher. How do you accelerate and scale your transformation cost-effectively? The answer – optimized global delivery. Follow this series and learn more about our nearshore software development capabilities from members of our global consulting team in Colombia. When coordinating software development […]
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 […]
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 […]
[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 […]
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 […]
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 […]
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 […]
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 […]
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 […]