By using the latest advancements in the Industrial Metaverse and Smart Manufacturing, you can uncover entirely new and untapped insights from your production floor – all with more efficiency and cost savings.
Join leading innovators in the industrial manufacturing space for an engaging roundtable discussion on artificial intelligence (AI) computer vision; augmented, virtual, and mixed reality technologies; and the interconnected worker and the digital shop floor.
Think this only benefits huge manufactures? No! Enhancements in artificial intelligence are breaking down cost barriers and empowering small- and medium-sized businesses to implement these technologies.
Don’t miss out! Register today for this informative webinar.
Meet our panelists:
Dr. Jungwoo Ryoo serves as the Chancellor and Chief Academic Officer (CAO) at the Pennsylvania State University-DuBois. He is Professor of Information Sciences and Technology and a graduate/affiliate faculty member of the College of IST at Penn State-University Park.
Hasan A. Poonawala is an Assistant Professor in the Department of Mechanical Engineering at the University of Kentucky. He holds a master’s degree in mechanical engineering from the University of Michigan and a PhD in electrical engineering from the University of Texas at Dallas.
Sean Riley is Vice President, Industry Solutions and Head of the Global COE for Value Engineering at Software AG. He has 20 years of experience working in and providing technology solutions to the supply chain, logistics and manufacturing fields.
Anand Krishnan is Senior Director, Partnerships at Magic Leap. He is an enterprise partnership leader and is an expert in AR, AI, and Cloud. He earned an MBA from Dartmouth and a master’s degree in industrial engineering & operations research from the University of Mumbai.
Konrad Konarski is Vice President of AI & Emerging Technologies with Prolifics. He is a successful entrepreneur, engineer, business professional and thought leader with more than 20 years of experience in emerging technologies.
This blog explores the potential of generative AI, focusing on the Retrieval-Augmented Generation (RAG) technique for tasks like question-answering and summarization.A practical scenario illustrates how generative AI aids troubleshooting in industries, streamlining issue resolution. This blog advises enterprises on building Gen AI platforms to overcome adoption challenges, emphasizing the importance of semantic models for a unified analytics platform.
“Building an AI strategy inclusive of GenAI requires a rigorous approach — from developing a business-driven vision to planning which initiatives and technologies to adopt and why.” – Gartner
Getting started with Generative AI for your business may seem overwhelming, but it doesn’t have to be. In fact, with the right approach it can be a game-changer for your organization.
This eBook offers a well-defined path for business leaders to implement tailored generative AI solutions effectively, from developing a business-driven vision to planning which initiatives and technologies to adopt and why. Addressing these considerations empowers your organization to make informed decisions, ensuring that Generative AI solutions.
Now’s your chance to strengthen your data governance framework, enhance your data strategy, learn about AI’s impact on data governance, and increase your understanding of data lineage from leading data governance experts.
Join Prolifics at the Data Governance and Information Quality Conference (DGIQ) in Washington, DC, December 5-6. Meet us at Booth #24 – Our data experts will equip you with all the essential resources, information and guidance you need to perfect your organization’s data management strategy and drive impressive results in 2024 and beyond.
Use the button above to schedule a 1:1 at the conference with one of our data & AI subject matter experts.
Step into the spotlight with Generative AI and Prolifics as your guide. Discover the five key steps for Gen AI success, from vision to grand premiere. Lights, Camera, Gen AI: Let’s roll!
The potential Gen AI use cases for your company are almost infinite. In this e-book, we’ll look at the top six ways Gen AI can transform your organization – and you can tap your imagination from there and have your own use cases flowing. Take this essential first step to unleashing the power of Gen AI.
Join Prolifics at the Connected Worker Chicago Summit, November 13-15, 2023, at the Lincolnshire Marriott Resort in Chicago, IL.
We’ll be at Booth 38. Stop by anytime or sign up for a one-on-one meeting.
Staying on technology’s cutting edge – that’s how you continually win huge competitive advantages. Our robust team of technology partners coupled with our experienced AI & Emerging Technologies team will help you accomplish just that.
Visit us at Booth 38 to meet our team and participate in our MR/VR demos.
Prolifics at Connected Worker:
Monday, Nov. 13: Visit our space at the MxD Facility. Contact us to learn more
Be our guest as we unlock the doors to innovation at MxD, where cutting-edge technology meets limitless possibilities. Experience the Prolifics robot, powered by Software AG.
After the tour, a limo will take you to Pilot Project Brewing for food, craft brew and networking. Transportation will also be provided back to the Lincolnshire Marriott Resort. This exclusive event takes place in conjunction with the Connected Worker 2023 Chicago Summit.
Even if you’re not attending the conference, we’ve got you covered! By joining us at this event, you’ll gain access to the MxD facility and we’ll bring you right back to MxD after an evening of networking and fun.
This is an invitation-only event. Registration is required to ensure your seat.
Details:
Monday, November 13, 2023
Tour MxD: 4:00-5:00pm
Limo departs from MxD at 5:00pm
Networking reception at Pilot Project Brewing from 5:30-7:30pm
Transportation is provided to and from the brewery
Our client is a publicly traded holding company with seven insurance subsidiaries offering diverse insurance products to working-class families and senior citizens.
Challenge:
The client’s division tasked with providing health and life insurance to small employer groups encountered complexities when updating billing details due to life events, such as getting married or having a baby. The former method of handling customized billing details and schedules heavily relied on IT teams and manual processes, primarily involving Excel. This approach was inefficient and susceptible to errors. Consequently, the objective was to enhance efficiency, automate, and ensure accuracy in the process.
They required a highly customizable ‘self-serve’ user interface (UI) that didn’t necessitate IT involvement. This included configuring new ‘output layouts and formats’ for new clients, modifying existing layouts, creating new data fields by combining existing ones or applying masking, setting up schedules, and configuring delivery methods like MQ, FTP, JSON, and XML, all without requiring IT intervention.
Having previously collaborated with Prolifics, our client was familiar with the Prolifics-created platform designed for electronic data interchange (EDI) tasks (handled claims, payments, and enrollments and managed commissions for agents). Aware of its capabilities, our client wanted to repurpose this solution to automate their billing process. More with this client Faster Claims, More Control A Victory For Insurer And Patients | Prolifics US
Action:
After understanding the client’s unique billing format, data needs, and scheduling requirements, a solution was designed leveraging the Prolifics-developed platform. This platform, previously successful in managing claims and payments, was repurposed to cater to the client’s specific billing demands. The User Experience (UX) was a priority, resulting in mock screens that favored business professionals. The client’s requirement of processing data from Oracle, fine-tuning in Excel, and transitioning it to different formats was met, ensuring versatile data delivery methods, with encryption added for extra security.
Results:
The solution dramatically enhanced efficiency and accuracy:
Automation: Transformed manual processes into streamlined digital workflows.
Empowerment: Enabled business users to manage tasks independently of IT teams.
Cost Efficiency: Utilized contemporary software for financial prudence.
Visibility: Offered an instant audit trail for monitoring and tracking.
Flexibility: Provided scheduling capabilities like tasks set for specific days.
User Experience: Introduced a streamlined dashboard with error detection and immediate correction.
Technology
The project not only met but exceeded the client’s aspirations, demonstrating the transformative power of technology when aligned with business needs.
The solution capitalized on the versatility of Python – a flexible, open-source programming language– ensuring minimal reliance on external software. The design is scalable, laying the groundwork for future Machine Learning and Artificial Intelligence integrations. Furthermore, the solution’s containerized nature guarantees flexibility in deployment, be it on-premises, cloud-based, or hybrid environments. Notably, Python’s capabilities enabled the creation of various data formats, making it a foundational and transformative element of the solution.
At Prolifics, the work we do with our clients matters. Whether it’s literally keeping the lights on for thousands of families, improving access to medical care, helping prevent worldwide fraud or protecting the integrity and speed of supply chains, innovation and automation are significant parts of our culture. While our competitors are throwing more bodies at a project, we are applying automation to manage costs, reduce errors and deliver your results faster.
Let’s accelerate your transformation journeys throughout the digital environment – Data & AI, Integration & Applications, Business Automation, DevXOps, Test Automation, and Cybersecurity. We treat our digital deliverables like a customized product – using agile practices to deliver immediate and ongoing increases in value. Visit prolifics.com to learn more.
In today’s ever-evolving landscape of artificial intelligence (AI), Generative AI (Gen AI) stands as a remarkable breakthrough—unlocking a world of possibilities across industries. It’s about creating something new, something unprecedented—a realm of limitless creativity. Think of it as an artist’s canvas, where AI paints with text, images, code, or even sound.
Generative AI is reshaping how humans and machines collaborate, enabling innovation through intelligent automation and creativity at scale. To understand how it works, let’s explore its fundamental components.
Foundation Model (The Brain)
The foundation model, often referred to as “the brain” of Generative AI, is its cornerstone. These large-scale, pre-trained AI models are infused with massive datasets containing diverse knowledge and context. This extensive foundation enables Generative AI to create, generate, and innovate efficiently.
The power of foundation models lies in their adaptability—they can be fine-tuned or specialized for specific use cases, making them far more versatile than traditional, task-specific AI systems.
For example, ChatGPT—powered by different generations of foundation models—supports a wide range of intelligent interactions. These models are trained on data at an “internet scale,” far exceeding the capacity of any single organization to replicate, ensuring vast knowledge coverage and advanced reasoning capabilities.
Applications vs. Models
Think of foundation models as the brains and applications as the user-friendly interfaces. When you interact with applications like ChatGPT, you’re engaging directly with the underlying foundation model developed by OpenAI.
This concept extends across various AI domains—text, code, images, and speech—each supported by its own category of foundation models. The synergy between models and applications fuels the next generation of intelligent tools that can understand, create, and learn.
The Prompt (Guiding Instruction)
The prompt is your guiding instruction in the world of Generative AI. It’s the input—the nudge—that directs the AI to generate something meaningful, insightful, or creative.
A “prompt” is a short instruction or query given to a Generative AI model to shape its response.
It acts as a bridge between human intent and machine creativity.
Prompts are concise, purposeful, and designed to elicit a specific kind of output.
In simple terms, prompting is like asking a question or giving a directive to the AI.
Well-crafted prompts can drastically improve the quality, tone, and precision of AI-generated outputs, making prompt design an essential skill in today’s AI-driven world.
Prompt Engineering
Prompt Engineering is the art and science of crafting effective inputs that guide AI models to generate optimal results. It marks a major shift in programming—from writing complex code to simply communicating with AI using natural language.
This evolution highlights the growing role of language-driven automation, simplifying how we instruct AI to generate code, text, or other forms of content effortlessly.
“Prompt engineering” goes beyond simple input—it involves strategically refining prompts to achieve specific outcomes.
It may require experimentation with different wordings, structures, and contextual clues.
The goal is to optimize output quality, relevance, and accuracy, making AI responses more aligned with user intent.
In essence, a prompt is the initial instruction, while prompt engineering is the deliberate refinement process that ensures precise, high-value interactions with AI systems.
The Creation (Tangible Value)
The true magic of Generative AI happens in the creation phase—the tangible outcome derived from the model’s reasoning and knowledge. The AI uses its vast understanding to craft something innovative and useful based on your prompt.
Whether it’s generating business insights, writing content, designing visuals, or automating workflows, this stage delivers real, measurable value to individuals and enterprises alike.
How Generative AI Differs from Traditional AI
As Greg Hodgkinson, CTO and Head of Engineering at Prolifics, insightfully explains in his blog “With Generative AI, AI Becomes Bigger and Better,” the evolution of AI represents a paradigm shift.
Traditional AI required vast, labeled datasets to train models for one specific task—a resource-intensive, costly process that offered limited ROI.
Generative AI, on the other hand, leverages foundation models that can perform multiple tasks with minimal retraining. This adaptability makes AI implementation more accessible, scalable, and cost-effective for businesses of all sizes.
The Impact on Businesses
Generative AI introduces a transformative approach to AI for enterprise applications. It promises not only a stronger return on investment but also enables the rise of specialized foundation models—custom-tailored for specific industries like healthcare, finance, manufacturing, and retail.
Organizations are increasingly pursuing AI autonomy, integrating these technologies within their cloud or on-premises environments. This is made possible through platforms designed for foundation model interactions and advanced prompt engineering tools.
As Generative AI continues to expand, enterprises worldwide are embracing its limitless capabilities to drive innovation, boost productivity, and reimagine business models. The future is open, dynamic, and ready for your creative touch—the canvas of Generative AI awaits your next idea.
Dr. Jungwoo Ryoo serves as the Chancellor and Chief Academic Officer (CAO) at the Pennsylvania State University-DuBois. He is Professor of Information Sciences and Technology and a graduate/affiliate faculty member of the College of IST at Penn State-University Park.
Hasan A. Poonawala is an Assistant Professor in the Department of Mechanical Engineering at the University of Kentucky. He holds a master’s degree in mechanical engineering from the University of Michigan and a PhD in electrical engineering from the University of Texas at Dallas.
Sean Riley is Vice President, Industry Solutions and Head of the Global COE for Value Engineering at Software AG. He has 20 years of experience working in and providing technology solutions to the supply chain, logistics and manufacturing fields.
Anand Krishnan is Senior Director, Partnerships at Magic Leap. He is an enterprise partnership leader and is an expert in AR, AI, and Cloud. He earned an MBA from Dartmouth and a master’s degree in industrial engineering & operations research from the University of Mumbai.
Konrad Konarski is Vice President of AI & Emerging Technologies with Prolifics. He is a successful entrepreneur, engineer, business professional and thought leader with more than 20 years of experience in emerging technologies.
