Join the Prolifics E&U experts at the Experience POWER conference, August 14-17, 2023, at the Westin Savannah Harbor Golf Resort and Spa, Savannah, Georgia.
We’ll be at Booth 407 (not far from the POWER Club Lounge). Stop by anytime or sign up for one-on-one meeting.
Prolifics knows E&U technology. We work with energy and utility companies on a wide range of issues, providing our clients with inventive, cost-effective solutions for:
ADMS/Application migration and integration
DERMS integration
Platform replacement
Remote grid integration
ADMS vendor system issues
Mobile functionality
Managed Services
Automated Testing
The Internet of Things (IoT)
Prolifics is technology “agnostic”; we recommend the best solution for the specific situation. We work with IBM, Microsoft, MuleSoft, Databricks, SAP, Boomi, Salesforce and a host of others.
Visit Booth 407 and meet:
Michael Braun – Account Executive
Swati Dora – Associate Director – Client Success
Jeanette Wareham – Account Executive
Konrad Konarski – VP, AI & Emerging Technologies
Sign up for a special one-on-one meeting with Michael, Konrad, Swati or Jeanette at the conference.
Learn more about our E&U industry expertise and customer success stories here.
Let Prolifics help power your success – see you at Experience POWER.
This US-based fintech company offers payment processing and point-of-sale (POS) solutions, payroll, insurance coverage, gift and reward cards, and other financial tools for small businesses. This success story falls under Prolifics’ Intelligent Process Innovation and Digital Automation & AI offerings. We acquired this client through our Intelligent Automation Workshop.
Challenge
Our client targets small businesses with two main offerings – payment processing / point-of-sale (POS) solutions and payroll processing. For both offerings our client provides equipment and training, as well as a line of credit. Our client ensures that a small business is worth the client’s investment of equipment, time and financial risk through a rigorous onboarding and underwriting process.
Unfortunately, much of this onboarding and underwriting involves intensive manual steps and procedures. The small businesses are sending in applications through our client’s website or as document attachments in emails. Our client needs personnel behind the scenes just to download application packages to place into their homegrown workflow system. Client “on-boarders” processing the applications have been taking a long time to go through the forms, which are often hard to read and are missing pages, which then requires connecting back to the business. The client currently has three on-boarders, who are only able to process about 260 applications in a month. This doesn’t include the time needed for underwriting, which is handled by different personnel. In addition, the client had no real processes or procedure for storing application information in a database – it went in as a “blob.”
Our client is looking to implement an aggressive growth plan, with a target of 1,600 applications a month. However, with the inability to scale the existing staff, this would mean adding about 19 new people. The client looked to us for technological help.
Action
We conducted our Intelligent Automation Workshop with our client. The Workshop pairs client personnel with our automation experts to create a strategy, roadmap and solution that leverages intelligent automation. It will provide continuous process improvement that maps to the client’s business outcomes. Workshop activities include interactive sessions to refine and score opportunities for improvement, validate business drivers and develop an action plan for next steps.
Workshop goals include:
Understanding strategic objectives and business outcomes
Leveraging Prolifics methodology to map business outcomes to key performance indicators (KPIs)
Identifying insights for opportunities for improvement that directly improve KPIs
Building and implementing a business case for improvement through leveraging different automation capabilities
Workshop take-aways include:
Implementation roadmap
Process transformation outlined through Prolifics Business Benefit graphs
Assessment of business drivers, pain points, objectives, and benefits from use case information
Result:
The client found that its investment in terms of time dedicated to the workshop was a success and that the approach led to concrete conclusions. Prolifics VP Salem Hadim heads both our Intelligent Process Innovation and Digital Automation & AI offerings. “Our client’s CEO had the key mandate to grow the organization without adding operational costs,” said Hadim. “In the workshop we quickly identified the use case where automation and process innovation will help our client. We clearly established the pain points, the improvement opportunities, and – most importantly – we gave him an ROI that meets his mandates. The CEO was tremendously happy with the workshop and its take aways.”
The improvement opportunities derived from the workshop included a “quick win” pilot program that:
Begins with using Intelligent Document Processing (IDP). IDP is a process that leverages artificial intelligence (AI) to read text and extract the needed information. With infused AI, IDP reads the applications (whether through the website or email attachments) just as a human is able to read them – only faster, cheaper and with a much lower error rate.
Once IDP captures the information from the submitted application, robotic process automation (RPA or “bots”) is used to complete all the manual work that the on-boarders had to deal with. With bots doing much of the work, the underwriters got all the information they needed neatly prepared and packaged for them.
We identified and gave the client options on ways to store the application documents, and how to search those documents for audit and compliance purposes.
We’ve estimated that this quick win program will save them more than $750,000 annually, with a much faster application throughput rate. Hadim notes, though, that a quick win program decision, especially when implementing automation, should not be made in a vacuum – it’s part of an overall, holistic approach that differentiates Prolifics from competitors.
“When you automate, it must be the correct adoption of automation,” said Hadim. “You must make sure you look at your process end-to-end, and then use automation the right way. It’s combining a tactical approach to make a quick win, but also looking at things strategically so that the quick win is not thrown away. Many vendors will automate something that’s not needed – the company should be changing and innovating the larger processes. Automation must be part of your roadmap, part of your enterprise-wide adoption.”
As a fintech company, our client is part of the larger banking, financial services and insurance (BFSI) industry that Prolifics serves on a regular basis. Hadim said, “Recently we’ve implemented bots at a mortgage company to help them scale; implemented application automation at a financial clearing house; and configured the entire infrastructure automation for a credit card processor’s new data center. BFSI companies are ripe for process innovation and RPA.”
More on our Intelligent Process Innovation and Digital Automation & AI offerings
Prolifics Intelligent Process Innovation looks at an organization’s processes from both the top down and the bottom up. We use this holistic view to identify opportunities for new competitive advantages and outcomes, including reduced operational costs, higher levels of employee productivity and customer experience, and greatly improved compliance.
With Digital Automation & AI, our focus is utilizing robotic process automation (RPA / bots), artificial intelligence (AI), conversational AI, generative AI and data science to automate and scale your operation’s low-value, manual and repetitive tasks. These processes are now more productive in terms of time, cost and quality, and your human knowledge workers can now handle other, high-value innovative projects.
About Prolifics
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.
Written by Rajeev Sharma, Senior Architect, Digital Experience and Intelligent Automation, Prolifics
The Rise of LLM APIs
The rise of Large Language Model (LLM) APIs has opened exciting possibilities for natural language processing. Leveraging pre-trained LLMs allows developers to perform a wide range of language-related tasks with ease.
However, integrating these APIs into real-world applications brings unique challenges. This guide is for developers and architects who plan to integrate LLM APIs and build scalable, efficient, and secure AI applications.
Proper planning and architectural decisions are essential to ensure success. Let’s explore the key challenges and how to overcome them.
1. Choosing the Right LLM API
Selecting the right LLM API can be complex. With multiple providers offering distinct features and pricing, the goal is to find one that best fits your requirements and budget.
Key factors to consider:
Model size and capabilities
Quality and diversity of training data
Pricing and scalability
Ease of integration and developer support
2. Managing Quota and Rate Limits
Most LLM APIs have rate limits or usage quotas to manage server load. Ignoring these can lead to unexpected service interruptions.
Best practices:
Implement throttling or rate-limiting mechanisms
Introduce per-user delays
Monitor API usage and set alerts
These help maintain a smooth and stable application experience.
3. Handling Contextual Memory Limitations
LLMs are stateless, meaning each request is processed independently. For conversational applications, retaining context is vital.
To handle this:
Use frameworks that support conversational memory
Design flexible architectures to integrate future improvements easily
Keep track of evolving solutions from LLM providers
4. Using Prompt Templating
In real-world scenarios, prompts often combine fixed text with dynamic data. A templating framework helps manage prompts efficiently and avoids messy string concatenations.
Benefits include:
Cleaner, more readable code
Easier updates and scalability
Reduced errors in prompt structure
5. Building Robust Error Handling
External API integrations bring risks like timeouts and network failures. Effective error handling ensures stability and user trust.
Recommendations:
Use retry logic for transient errors
Display clear error messages
Implement fallback workflows to avoid data loss
This strengthens reliability and enhances user experience.
6. Testing and Fine-Tuning
Reaching high accuracy often requires extensive testing and prompt engineering. Continuous refinement based on user feedback is key.
Suggested process:
Gather user feedback through a tracking mechanism
Allow QA teams to modify and test templates easily
Automate validation of expected results
This ensures your LLM integration evolves with user needs.
7. Implementing an Effective Caching Strategy
Frequent API calls can increase costs and affect performance. A caching layer helps reduce both.
Steps to follow:
Cache repetitive inputs and responses
Choose a reliable cache provider
Monitor and update your caching policy regularly
While it adds a layer of complexity, caching significantly boosts efficiency.
8. Ensuring User Privacy and Data Security
LLM APIs often require sending user data to external servers, making data privacy a top priority.
Security measures to implement:
Use encryption protocols for all data transfers
Anonymize or tokenize sensitive information
Maintain detailed audit logs
Conduct regular security and penetration tests
These steps safeguard user trust and ensure compliance with data protection regulations.
Conclusion
Integrating Large Language Model (LLM) APIs offers immense potential to create powerful, intelligent applications. With thoughtful planning, robust architecture, and proactive risk management, you can overcome integration challenges and fully harness the potential of LLMs.
Partnering with an experienced technology provider can simplify this journey and accelerate success.
Contact us today to explore how we can help you build innovative AI-driven solutions.
About the Author
Rajeev Sharma is a Senior Architect and Competency Lead for the Prolifics Digital Experience and Intelligent Automation India Practices. He has led multiple enterprise projects and excels at aligning client business goals with scalable technology solutions. His expertise spans architecture design, delivery leadership, and intelligent automation systems.
Does your company prefer a multi-cloud environment? Using two or more cloud platforms so you aren’t putting all of your eggs in one basket? With multiple clouds you can avoid downtime and always have computing and storage available. Or perhaps, like many companies, you feel that cloud provides have specialty areas, and you want to take advantage of each provider’s strength. Or perhaps it’s as simple as not wanting to feel abound or locked in to one provider.
So you decided you want a multi-cloud environment. What’s the next step?
When creating applications that will operate across your multi-cloud environment, you need to account for all of the many little differences within each cloud platform. (That is, heaven forbid that competing platforms be standardized.)
That’s where Prolifics can help. In our unique innovation center, we leverage our experience to build next-generation solutions like our Cloud Template Builder. Cloud Template Builder offers an easy-to-use, visual drag-and-drop construct, so you can have your application ready to deploy across multiple cloud platforms simply and efficiently. It’s another type of “one-and-done” value add that comes from our cloud expertise.
About the Prolifics Innovation Center
The Prolifics Innovation Center leverages our experience to build next-generation solutions like our Cloud Template Builder. We provide the leadership and vision that keep organizations competitive. Our experts work closely with you to incorporate feedback and tailor solutions to your real-world business needs. If you’d like to learn more or become part of our Innovation Center, please email us at solutions@prolifics.com.
About the Author: – Greg Hodgkinson
Greg is a technology leader and engineer with a track record of establishing teams that deliver breakthrough solutions for business and enterprise IT.At Prolifics, he works with teams that apply cutting-edge technology to our solutions, as well as approaches that cross practice lines and incorporate Prolifics’ digital IP into a foundation for innovation.
The wave of ChatGPT is taking the industry by storm. Every organization is exploring how to use ChatGPT—but the real question should be broader: How can Generative AI enhance customer care and employee experience?
This article explains how to leverage Conversational AI, Generative AI, Robotic Process Automation (RPA), and Chatbots to automate both customer-facing and employee-facing operations.
Why Conversational and Generative AI Matter
Imagine your organization handling nearly two million conversations per week—a modest figure for sectors like banking, healthcare, or insurance. The operational cost of managing such interactions is enormous. Multiply that by 52 weeks, and the expenses skyrocket into hundreds of millions.
With automation, you can significantly reduce these costs while simultaneously improving the overall customer and employee experience.
Enhancing user experience is a critical challenge across industries. Organizations strive to:
Increase productivity by minimizing repetitive tasks
Allow employees to focus on innovation
Create efficient, positive environments that drive quality outcomes
Conversational and Generative AI offer a transformative path forward. By applying Natural Language Processing (NLP), Natural Language Understanding (NLU), and Machine Learning (ML), these systems can interpret human interactions and automate complex tasks with precision.
Businesses can revolutionize HR, IT, and customer support operations, improving both satisfaction and efficiency.
Conversational AI: Bringing Human-like Interactions to Life
The goal of conversational AI is to create virtual agents or assistants that deliver a natural, human-like experience. These systems rely on:
Data analytics and machine learning
NLP and NLU technologies
Dialogue-based interaction models
Such AI-driven assistants can handle multiple languages, interpret speech and text, and support users across diverse channels.
Generative AI: Moving Beyond Data Analysis
Traditional AI systems analyze data and produce predictable outcomes. Generative AI, however, creates entirely new and original outputs—including text, images, audio, and models.
It learns from existing data to generate novel and imaginative content, opening new possibilities for automation, creativity, and personalization.
Solution: An Intelligent Bot Powered by Conversational and Generative AI (ChatGPT)
By combining Conversational AI and Generative AI, enterprises can create intelligent, self-service experiences.
This integrated solution connects with communication channels like Microsoft Teams, Slack, WhatsApp, Salesforce, and ServiceNow, delivering a true omnichannel experience.
It can also integrate with internal and external systems—email, CRM, ERP, and other applications—to automate responses and workflows.
Key Solution Features
Omnichannel access across devices and platforms
Encrypted and secure data exchange
Personalized, human-like responses
Automated data extraction from unstructured content
Smart summarization of enterprise information
Context-aware, emotional understanding
Integration-ready with enterprise systems
These capabilities empower your self-service desks to deliver dynamic and personalized interactions for both employees and customers.
Business Benefits and Value
Incorporating Conversational and Generative AI into traditional chatbot frameworks enables organizations to:
Increase Customer NPS
Reduce Operational Costs
Deliver Personalized Experiences
Ensure Error-Free, Faster Resolutions
Lower Agent Turnover Rates
Improve First Call Resolution and Average Handling Time
Key Applications of Conversational AI
There are two core areas where Conversational and Generative AI drive maximum value:
AI-Guided Customer Experience Modernization
AI-Guided Contact Center Automation – including Agent Assist and Virtual Agents
Challenges in Building a Conversational AI System
Despite rapid advances, conversational AI still faces several challenges:
Understanding Human Nuance: Interpreting sarcasm, humor, and tone
Context Adaptation: Adjusting to user intent and industry-specific needs
Data Privacy & Ethics: Ensuring compliance with GDPR, CCPA, and similar regulations
In sectors like healthcare, banking, and finance, maintaining context and domain expertise is critical. Thus, organizations must implement robust governance, ethical AI practices, and secure data management to ensure reliability and compliance.
Real-World Demos
Demo 1: Enhance Productivity and Experience for an Internal Employee (Inquiry Agent) Demo 2: Enhance User Experience for a Customer Demo 3: Enhance Productivity and Experience for an Internal Employee (Corporate Recruiter)
Request a Demo
Connect with our experts to see how Conversational AI combined with Generative AI can transform your customer and employee experiences.
We all want to keep our home secure – close the garage, lock the house windows and doors. Yet, many times a burglar still gets in, and later we scratch our heads and say, “I never thought of that way in.”
It’s the same thing for your company. Attackers, hackers and other bad actors are working tirelessly to get into your systems. For cybersecurity professionals, a company’s “windows and doors” are your organization’s information systems, networks, assets, open ports, exposed services, unpatched software, weak passwords, and more. This is your company’s “attack surface.”
Rama Yenumula is Director of Prolifics’ security line of business. “The attack surface is not a new idea for security professionals. The concept has been around for many years and has been a fundamental aspect of cybersecurity practices. The term ‘attack surface’ was coined in the early 2000s, but the underlying principles of managing vulnerabilities and reducing risks predate this terminology. Cybersecurity professionals have always been concerned with identifying and mitigating potential security risks by understanding the different entry points that could be exploited by attackers.”
At your home, your attack surface – your windows and doors – remains fairly constant. This isn’t the case with your company, however. With today’s multi-cloud deployments, mergers and acquisitions, integrations, APIs and applications, and – yes – remote workers, the attack surface is constantly shifting and ever changing.
“Somebody is trying to penetrate your organization using different techniques, 24/7,” said Rama. “The attacks are more sophisticated, and the breaches are more prominent. Meanwhile, in its digital transformation journey, a company may deploy or upgrade new things every day. The attack surface is not constant.” Annual or semi-annual security testing isn’t enough to protect the ever-changing attack surface.
So, what’s the best way to protect your company’s attack surface, so we don’t have to scratch our heads and say that we never thought of that way? Rama said, “A newer approach is external attack surface management (EASM). It’s a newer mindset to analyze it all from the outside, looking in – viewing your organization like an attacker would.”
There are generally two components to EASM:
Reconnaissance (or recon) – Recon is an accurate and authentic discovery designed to continually identify your exposures, the easiest targets, and which targets are of greatest interest to an attacker.
Attack (or red teaming) – Attack is having a professional team purposely attempting to breach your systems, so you can rate and fix your cyber defenses.
One highly reviewed product was IBM’s Randori, a software providing continuous asset discovery and issue prioritization from an attacker’s perspective. As IBM states, “Just like real threat actors, Randori Recon continuously monitors your external attack surface, uncovering blind spots, misconfigurations and process failures that would otherwise be missed. Using a black-box approach, Randori finds the Internet Protocol version 6 (IPv6) and cloud assets that others miss.”
ON-DEMAND WEBINAR
“Protect Your Attack Surface with an Outside-In View”
This webinar addresses the critical question of what your organization looks like from an attacker’s point of view, while outlining how you should prioritize the exposures which pose the greatest risk.
Your host is Evan Anderson, Chief Offensive Strategist and founding team member of Randori. He has more than 15 years of experience in red teaming, vulnerability research and exploit development.
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.
Unlock the potential of automation and elevate your business operations with Prolifics Digital Workers.
What are digital workers? Digital workers are your virtual allies, capable of automating manual, repetitive tasks that burden your workforce. By freeing up valuable human resources, they empower your team to focus on strategic initiatives, innovation, and high-value activities.
This infographic highlights the transformative capabilities of Prolifics’ digital workers and their ability to overcome challenges, deliver exceptional benefits, and drive organizational success.
Hub-and-spoke integration is one of the most debated patterns in enterprise architecture. With over 20 years of experience as an application integration specialist, I have worked with multiple generations of integration middleware technologies, primarily from IBM. I’ve successfully supported organizations ranging from small enterprises to global giants.
One architectural approach I consistently advocate is the hub-and-spoke model. Its versatility makes it a reliable method for achieving seamless integration and maximizing operational efficiency.
In this article, we’ll explore what hub-and-spoke integration is, why it faces resistance, and how to approach it more effectively.
What Is the Hub-and-Spoke Model?
At its core, hub-and-spoke integration means:
Spokes = the applications
Hub = integration middleware that routes messages
The hub ensures each system can communicate without needing to know the details of the others. This makes it simpler to add or replace systems in the future.
Comparing Integration Design Approaches
1. Point-to-Point Integration
Every node communicates directly with every other node.
Middleware can still be used, but the channels are one-to-one.
2. Hub-and-Spoke Integration
Middleware acts as a neutral hub.
Applications connect only to the hub, reducing complexity.
3. Sun-and-Planets Approach
A variation where one application system becomes the “super node” (the “sun”).
Other applications orbit around it as “planets.”
This differs from the neutral middleware hub approach.
Why Is There Hostility Towards Hub-and-Spoke?
The resistance is rarely about the communication pattern itself. Most agree it is better than point-to-point once more than two nodes are involved.
Instead, the hostility often surfaces when the model extends to data representation inside the hub.
The Data Representation Dilemma
Here’s how it usually works:
A system sends a message to the hub.
The hub routes the message.
The hub converts data formats for each target system.
The Challenge
If the hub translates directly from one system’s format to another’s, it essentially becomes point-to-point inside the hub.
To avoid this, the hub should translate every message into a neutral, hub-specific format first.
Why Do Teams Object?
1. Perceived Inefficiency
Each message involves two mappings per target system (to neutral format, then to target format).
This feels like extra overhead compared to direct mapping.
Analogy: In air travel, passengers prefer direct flights. But airlines like Delta and FedEx built hub-and-spoke models because the system as a whole is more efficient.
2. Effort to Build Hub-Specific Data Representations
Critics say it’s like building a full enterprise data model, which is time-consuming.
But in reality, this model can evolve gradually, growing more comprehensive as the system matures.
Who Objects Most—and Why?
Resistance often comes from application technical team leads.
In theory, they should like the hub—no more maintaining fragile point-to-point code.
But in practice, there’s a deeper concern:
If all systems communicate via neutral formats, no single system is “special.”
Teams may fear this makes their system more easily replaceable.
This underlying suspicion may explain the emotional hostility towards extending hub-and-spoke into data representation.
Key Takeaways
The hub-and-spoke model simplifies communication and reduces system dependencies.
Objections typically arise not from the pattern itself, but from how data is handled inside the hub.
The efficiency tradeoff (extra mappings) is outweighed by scalability and flexibility benefits.
Building hub-specific formats should be seen as an evolving enterprise asset, not a sunk cost.
Why This Matters Today
In a world where system replacement and modernization are constant, the hub-and-spoke model provides:
Future-proof integration that survives vendor changes.
Reduced complexity across growing ecosystems.
Business resilience through neutrality and flexibility.
For enterprises exploring digital transformation, integration modernization, or middleware strategy, understanding hub-and-spoke design patterns is crucial for long-term success.
About the Author
Cameron Majidi has been with Prolifics since 1996, beginning as a key member of the technical management team overseeing software development and marketing. At the start of the new millennium, he transitioned into his current role as a Solutions Architect specializing in application integration.
Over the years, Cameron has served as the lead architect on numerous enterprise projects, implementing integration middleware for organizations of all sizes—from emerging businesses to large global enterprises. His expertise spans:
Integration middleware design and implementation
Solution architecture and system modernization
Collaboration with enterprises adopting middleware-based strategies
With decades of hands-on experience, Cameron provides clients with deep technical expertise, proven integration strategies, and trusted guidance to maximize business value from their technology investments.
Alarge International Retailer (IR) has been a valued client of Prolifics for over a decade. Renowned globally for its brand names in apparel and accessories, IR has established itself as a leading fashion lifestyle destination for customers.
Challenges
IR dedicated substantial time to mundane, repetitive, and low-value tasks essential for business operations including data entry, analysis of unstructured documents, management of complex Excel files, and various other manual processes.
Specifically, IR had a lot of manual processes that revolved around their SAP system, an enterprise resource planning (ERP) system that helps them optimize their supply chain, manage sales and distribution, handle financial processes, implement merchandise strategies, leverage analytics and reporting insights, and more. The manual execution of queries in SAP system to retrieve the material ledger proved to be a particularly time-intensive endeavor.
Handling a substantial volume of material records, numbering in the hundreds of thousands, posed a considerable challenge in creating corresponding folders for each record. This undertaking was not only labor-intensive but also prone to manual errors.
To overcome these challenges and attain enhanced efficiency and compliance, IR proactively pursued an automation solution.
Action and Results
IR recognized the need for automation to address operational challenges and chose UiPath, a leading Robotic Process Automation (RPA) platform. To fully leverage its capabilities, Prolifics stepped in to support IR in optimizing the UiPath platform. IR successfully automated manual and repetitive tasks, freeing up valuable time for business users to focus on more relevant and innovative activities. This transformative shift led to significant improvements in speed, efficiency, and compliance, enabling IR to enhance operational effectiveness.
From a technical standpoint, the use of restricted SAP user accounts was overcome as job completion was efficiently accomplished through a single bot account. This not only resulted in resource savings but also eliminated the need for manual labor and saved considerable time for IR.
96% Reduction in Process Time for Material Ledger Reporting: By leveraging Robotic Process Automation (RPA) bots for material ledger closing tasks, IR achieved an impressive 96% reduction in time, transforming the process from 160 hours to under 6 hours, signifying a remarkable boost in efficiency.
99.6% Reduction in Process Time for Sales Order Retrieval: Through automation, the time required for sales order retrieval witnessed a staggering 99.6% decrease, reducing the duration from 70 hours to just 30 minutes. This significant improvement enabled business users to allocate their valuable time to more critical tasks.
75% Decrease in Folder Creation Time: Automation encompassed the creation of folders for each material record, adhering to a predefined naming convention. This process, previously demanding 20 hours per week, was streamlined to a mere 5 hours, achieving a noteworthy 75% increase in efficiency while maintaining a flawless error-free performance.
Utilizing automation, IR effectively reduced effort and time throughout their processes, resulting in increased order processing, revenue generation, and operational cost reduction. Their collaboration with Prolifics and adoption of UiPath automation brought about transformative changes, yielding substantial time savings, improved efficiency, and heightened employee productivity.
Technology
UiPath is a leading RPA platform that automates repetitive tasks using software robots called bots. It simplifies process automation, freeing up employees’ time for more important work. With a user-friendly interface, UiPath allows businesses to design, deploy, and manage bots efficiently. By automating tasks like data entry and document processing, UiPath enhances productivity, reduces errors, and enables cost savings. Its versatility across applications and industries makes it a valuable tool for organizations seeking digital transformation
About Prolifics Digital Automation & AI
At Prolifics, we specialize in revolutionizing business processes by harnessing the potential of automation. By seamlessly distributing work across digital workers (bots) and knowledgeable experts, we unlock remarkable efficiency gains in time, cost, and quality. Our approach enables dynamic scalability, empowering your operations to match demand effortlessly. Moreover, we empower seamless self-service interactions with customers, enhancing satisfaction and driving growth.
About Prolifics
Prolifics is a digital engineering and consulting firm helping clients navigate and accelerate their digital transformation journeys. We deliver relevant outcomes using our systematic approach to rapid, enterprise-grade continuous innovation. We treat our digital deliverables like a customized product – using agile practices to deliver immediate and ongoing increases in value.
We provide consulting, engineering and managed services for all our practice areas – Data & AI, Integration & Applications, Business Automation, DevXOps, Test Automation, and Cybersecurity – at any point our clients need them.
Uncover the exciting fusion of Industrial Metaverse, Augmented Reality, and Artificial Intelligence as six diverse industry leaders engage in a dynamic virtual discussion. Explore the possibilities, discover real-world use cases, tackle challenges, and find out how to overcome them. Don’t miss out on this engaging conversation that sheds light on the intersection of these transformative technologies!
The true value of AI lies in augmenting tasks, empowering workers, and enhancing capabilities. Technologies like GPT, AI computer vision, and mixed reality provide valuable support in analyzing data and text, improving worker performance. By embracing reinvention and aligning with future technologies, we navigate the industrial revolution successfully. Konrad Konarski
What does AI, Industrial Metaverse and Augmented Reality Technology mean to you?
Konrad
Generative AI: Technology like ChatGPT which learns and structures information like the human brain. It represents the state-of-the-art in statistics and is at the forefront of artificial intelligence, mixed reality, and augmented reality.
Hasan:
Decision-Making: Whether it’s strategizing process control actions or responding to robot operations and repairs, mixed reality and the metaverse play a crucial role. By simulating processes and utilizing real-time information from physical systems, the metaverse enhances decision-making and serves as a valuable tool in augmenting operational processes.
Dr. Jungwoo:
The Synergy of Mixed Reality (AR) and AI: In its simplest form, AR and AI are intertwined. For instance, AI is employed in gesture control and other device interactions. Moreover, our partners and customers extensively utilize AI in various applications, such as conversational AI and environmental mapping for object and image recognition.
Sean:
Predictive Analytics, Machine Learning, and Mixed Reality: These fields utilize predictive models to address complex issues that are often too challenging for quick and accurate human decision-making. For instance, on a shop floor, understanding product quality and machine stoppages requires more than simple operator actions. Algorithms can offer valuable insights and alternative approaches. Mixed reality, on the other hand, acts as a leveling technology by supporting less experienced field technicians with augmented reality, tapping into the knowledge of seasoned professionals to handle complex problems.
“The integration of AI and mixed reality technologies empowers workers by aggregating and presenting relevant information to support them in complex tasks. By connecting external data sources and utilizing generative AI, these technologies enhance the capabilities of connected workers and provide valuable assistance through mixed reality experiences.”
Konrad Konarski
What industries and use cases do you observe as actively adopting these technologies?
Industrial Manufacturing: The panelists unanimously agree that Industrial Manufacturing exemplifies the significant impact of these technologies on enhancing performance, productivity, and cost-effectiveness.
Augmented reality plays a vital role in guiding workers through complex tasks, providing training, and improving maintenance and repair processes. By delivering step-by-step instructions through mixed reality, it reduces equipment downtime and improves first-time fixed rates.
The Manufacturing Industry also recognizes the importance of utilizing AI and mixed reality for seamless die setter training, promoting workforce development. Real-time process control and predictive modeling further optimize manufacturing processes, leading to reduced scrap rates and substantial productivity gains. The integration of mixed reality and predictive modeling drives industry advancements and maximizes operational efficiency.
Other Noteworthy Industry Use Cases:
Medical Field: The medical field presents a wide range of use cases, spanning from advanced medical imaging to comprehensive physician training and even vital surgical assistance.
Architecture, Engineering, and Construction (AEC): The AEC verticals leverage augmented reality to overlay models, minimizing errors and optimizing construction processes.
Automotive Industry: The automotive industry utilizes AI and mixed reality to enhance their assembly process and improve product quality. Real-time sensor data analysis and predictive analytics enable quick issue identification and maintenance prediction, leading to high repair rates and optimized resource usage. They also leverage mixed reality and digital twin technology for research and development, driving improvements in efficiency.
Energy and Utilities (EU) Industry: The EU industry embraces augmented reality integration in remote fields, delivering real-time field insights and enabling remote control and advisory capabilities from headquarters. This integration significantly reduces downtime in field operations while unlocking transformative potential beyond training and simulation.
“We can harness the power of AI technology and unlock valuable insights that were previously untapped. By doing so, we can efficiently extract intuitive domain expert knowledge using artificial intelligence engines, resulting in cost-effective solutions.”
konrad konarski
What are the obstacles to adopting technology and how can they be overcome?
“When it comes to barriers, it’s not just about assembling multidisciplinary teams; we also need individuals with diverse skill sets.”
Hasan poonawala
Obstacles
Outdated Machinery: The hindrance caused by machines lacking real-time data extraction capabilities poses a challenge to implementing advanced technologies.
Large-Scale Deployment: Transitioning from pilot projects to widespread deployment requires integration into existing business processes, presenting a hurdle to overcome.
Poor Data Quality: Inconsistencies and challenges related to data normalization hinder the development of reliable predictive algorithms.
Research and Data Collection: This includes issues such as limited availability of data, data quality concerns, ethical considerations, privacy concerns, obtaining consent, and ensuring the data collected is representative and reliable.
Overcoming these challenges involves streamlining data normalization, implementing resilient processes, and prioritizing security education and preventive measures.
Process Assesment and Model Updates: Mixed reality can facilitate experts in visually and audibly assessing processes to identify defects and provide valuable input for model updates.
Security and Authentication: Addressing authentication concerns for both AR and enterprise applications is essential as technology convergence and data silos are eliminated.
Well-Defined Processes: Expanding AI programs necessitates a well-defined and adaptable process for handling data sourcing, deployment, and algorithm adaptation.
Leadership Approach to Technology Implementation: A comprehensive integration of AR/VR solutions into a digital twin ecosystem, driven by multidisciplinary teams comprising data scientists, AR/VR experts, and domain specialists, is crucial for uncovering true value.
Customizable Software Solutions: Accessible and customizable software solutions designed specifically for mixed realities and artificial intelligence can streamline processes and enable effective utilization of these technologies.
Summary
To unlock the full potential of AR, VR, and mixed reality, it is essential to harness the capabilities of advanced artificial intelligence techniques. By optimizing prescriptive models and fully utilizing expansive data sets, businesses can propel themselves forward. Embracing new avenues of AI allows organizations to overcome obstacles and gain a comprehensive understanding of crucial data, empowering them to make informed decisions. These powerful tools are not only reshaping industries but also driving significant advancements in fields such as Industrial Manufacturing, the Medical Field, AEC, Automotive Industry, EU Industry, and more. By embracing these technologies and surmounting the challenges of adoption, organizations can tap into valuable insights, enhance performance, and pave the way for a successful future
