Generative AI

I will be sharing my personal experience with learning Power BI and clearing the PL-300 (Earlier called DA-100) exam. I hope this will help the other aspirants. I would not be compromising the signed NDA; hence no questions will be disclosed in this article. About the Exam : PL-300: Microsoft Power BI Data Analyst Analyzing […]

Whether asking Siri to direct you to the nearest McDonald’s or inquiring about the weather to Alexa so you can decide whether to wear a jacket, many have grown accustomed to chatting with virtual assistants powered by artificial intelligence and machine learning to gather the information they seek. Given the convenience and intuition of such […]

Perficient and HCL Software recently hosted a webinar with DC360 about the growth of artificial intelligence (AI) in B2B Ecommerce. In the panel, Mike Rabbior, Principal and Chief Strategist for Commerce at Perficient, and Paul Pisecco, Go-to-Market Leader: CX, Data Platforms & AI at HCL Software, focused on how AI can help B2B Ecommerce businesses […]

IBM Cloud Pak for Data- Data Science MLOPS: I have been Learning, exploring and working on IBM MLOPS for Data Science and wanted to share my learning and experience here about IBM’s Cloud services and how they are integrated under one umbrella named IBM Cloud Pak for Data. First, let’s understand what IBM Cloud Pak […]

This is the final post in a series covering the new products released to the public by Appian during Appian World 2022.  Read the second blog here.   Appian Intelligent Document Processing (IDP) Every day organizations must sort through numerous documents to find specific data they need to start a task or to influence business […]

In our recent webinar, “Improve Medical Product Information Sharing With Virtual Agents,” Prabha Ranganathan, Kari Blaho-Owens, and Nico Frantzen discussed the ways that implementing virtual agents in life sciences companies’ call center operations can help to promote pharmacovigilance and more effectively service customers. Below are some of the questions we answered during the webinar and some that […]

Our life sciences and technology experts recently delivered the webinar, “Improve Medical Product Information Sharing With Virtual Agents,” where they discussed how automation and artificial intelligence can be used to optimize call center operations and improve end-user experiences. Here are five key takeaways: Just because a system is powered by AI doesn’t mean you have […]

According to market research, the global animal health market was valued at approximately $139 billion in 2020 and is predicted to grow to more than $190 billion by 2027. Even without its projected growth, animal health organizations, much like their human pharmaceutical counterparts, often do not have the adequate technology infrastructure to support or streamline […]

Perficient Colleagues Volunteer to Train Aspiring Technology Enthusiasts What happens when an interest is fueled by ambition and mentorship? For a group of Dallas high school students, it became a passion. Perficient recently wrapped our first Artificial Intelligence (AI) Bootcamp with the Mark Cuban Foundation where Dallas area high school students learned the fundamentals of […]

BWG recently conducted a survey of 55 executive management and professional supply chain businesses, and, together with Perficient and IBM, have published findings in the report Supply Chain Modernization During the Pandemic and Beyond. The findings analyze how the global supply chain has drastically changed over the last year and a half because of Covid-19. […]

The healthcare scene, along with many other major industries, is being transformed by artificial intelligence, so much so that AI is actually redefining the entire medical field and all its functions. Across multiple industries, AI is getting highly sophisticated and accurate at doing what humans do, and it’s easily becoming a game-changer when it comes to doing things more efficiently […]

It is relatively easy to create an AI or machine learning proof of concept, and eventually you will have multiple teams creating their own models to perform similar tasks. Beware, however, that this can result in duplicative training and tuning efforts, different outcomes and predictions, and variances in accuracy. The goal of automation is to […]