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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 […]

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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 […]

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Chief AI Strategist Chats About COVID-19 Healthcare Bots

Unless you’ve been hiding under a rock (social distancing?), you know that healthcare providers worldwide are facing major challenges related to the coronavirus (COVID-19) outbreak. One of these challenges is the rapid spike in call volume overwhelming call centers and providers. Many of the calls pouring in require human support to answer questions, but staffing […]

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Looking Beyond COVID-19: The Digital Mailroom

As COVID-19 spreads across the country, organizations are preparing for the future in an entirely new business landscape. Many companies are looking for solutions that can help them become more efficient and productive while saving money in the long term. Our digital mailroom solution, which can be built on any of the top three platforms, […]

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The Role of Artificial Intelligence in the COVID-19 Pandemic

The administration has announced they are now planning for a potential 18-month COVID-19 pandemic as the situation continues to evolve and the severity of the virus is becoming more apparent. Confirmed cases are doubling over short periods of time and forecasted projections are uncovering multiple waves of the virus are yet to come. All this […]

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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 […]

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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 […]

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Artificial Intelligence Enhances Financial Service Firms

Previously, I discussed how artificial intelligence (AI) can assist financial services firms. This blog highlights the benefits of AI strengthening cybersecurity and boosting profitability. AI for Strengthening Cybersecurity Another important horizontal use of AI technology relates to cybersecurity. Given the complexity of the disjointed set of security tools typically deployed in an enterprise, and the […]

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Breaking Down Artificial Intelligence in Financial Service Firms

Artificial intelligence (AI) has the ability to revolutionize a multitude of functions at financial services firms. Whether part of an overall digital transformation program or as a targeted deployment to improve customer service, increase profitability, or enhance information security, leveraging the latest advancements in AI can have a profound impact on a firm. Artificial intelligence […]

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[Guide] The Executive’s Guide to Intelligent Automation

Intelligent automation isn’t accomplished by a single technology working independently, but by a combination of different technologies working in concert: process orchestration, robotic process automation (RPA), and artificial intelligence (AI). Automation is a driving force of digital transformation. Enterprises of all sizes pursue automation for a number of reasons, such as to increase customer satisfaction […]

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Customer Satisfaction in Financial Services with AI-Powered Search

Providing the ultimate customer satisfaction is the cornerstone of digital transformation. When a customer or potential customer searches your site, providing personalized content is a large factor in the quality of their engagement. In fact, it can make or break the customer experience – and your business. Forcing customers to wade through results and links […]

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10 Data and Analytics Trends in 2020

The importance of data and analytics will continue to grow in 2020 and there are ten trends your organization should take note of to stay competitive. In the video below, I’ve outlined these ten trends and what you can do to stay on top of them. 10 Data and Analytics Trends in 2020 [Video] Data […]

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Getting Started with Robotic Process Automation in Life Sciences

Previously, I examined how robotic process automation (RPA) can improve document compliance. The final installment of this series explains how to get started with RPA. The opportunities to use robotic process automation are almost limitless. The examples presented in this guide are just a few areas in which RPA can be used in life sciences […]

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5 Examples of Incorporating AI into Healthcare Marketing

Artificial intelligence (AI) has not only created much-anticipated hype but also has many working applications. Although it is in its infancy in healthcare marketing, there is great enthusiasm and potential for its use to innovate and disrupt creating cost savings and greater returns on investment. 90 percent of healthcare executives predict that they will see […]

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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 […]

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Robotic Process Automation Improves Poor Document Compliance

Previously, I explained how robotic process automation can assist updating outdated contact details. This blog examines how robotic process automation (RPA) can improve document compliance. Keeping sites in compliance with their required documentation is an ongoing battle for every sponsor and CRO. Considering the volume of documentation involved in a clinical trial, it is no […]

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AI Helps Review Plans, Data and Robotic Process Automation

My last installment explained how artificial intelligence (AI) assists search, confidence scores, and data reviews. This blog dives into how artificial intelligence helps review plans, provide statistical analysis to data, and robotic process automation. Review Plans Prior to starting data review, each team has its own review plan. The data review team has a data […]

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Robotic Process Automation Can Update Outdated Contact Details

My last blog discussed enhancing slow recruitment with robotic process automation. This installment explains how robotic process automation (RPA) can assist updating outdated contact details. At first glance, having outdated contact information for sites might seem like a relatively minor issue. But when it results in delays related to required documents, monitoring visits, or clinical […]

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Get 25% Off AI Summit NY Passes with Perficient’s Discount Code!

The AI Summit is coming to New York again December 11-12 at the Javits Center. This 2-day conference is jam packed with exclusive content tailored to help attendees dig deeper into implementation opportunities and the challenges they face in their industries. There will be eight tracks with stages covering: Retail Sales & Marketing Finance (Look […]

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Robotic Process Automation Can Enhance Slow Subject Recruitment

My last blog dove into robotic process automation fixing mistakes in clinical data entry. This blog highlights enhancing slow recruitment with robotic process automation (RPA). Even the most promising clinical sites can have trouble recruiting enough eligible subjects. Pressure from upper management or the sponsor to meet recruitment targets causes stress and anxiety for study […]

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