Posts Tagged ‘machine learning’

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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 […]

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Leveraging AI for Knowledge Repositories and Content Curation in Life Sciences

–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 […]

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 […]

InForm

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 […]

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Accelerate Your Path to Success with Perficient Managed Services for Oracle Analytics

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 […]

Forrester Now Tech: AI Consultancies Report

Perficient Listed in Forrester Now Tech: AI Consultancies, Q1 2021

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, […]

Intelligent Data Episode 3: Data Trends in AI

[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 […]

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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 […]

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 […]

digital data cloud

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 […]

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