Artificial intelligence (AI) is transforming urban spaces and enhancing community life by making them smarter and safer. At Prolifics, we are leading these advancements through initiatives like the National AI Video Analytics Program, developed in collaboration with the AI Applied Consortium, the Georgia Institute of Technology, DePaul University, and municipalities across the U.S.

Urban cities are vibrant and constantly evolving. By using AI video analytics, cities can analyze video footage to manage complexity, ensure safety, and build more sustainable communities.

Here are seven reasons why urban cities need AI video analytics.

1. Keeping Our Cities Safe

AI video analytics strengthens public safety by:

• Monitoring activities in real-time.
• Spotting suspicious behavior quickly.
• Supporting faster response times and better resource allocation.

According to the National Institute of Justice, predictive policing with AI can reduce crime by up to 20%.

2. Smoother Traffic Flow

Traffic management is a constant challenge in busy cities. AI can:

• Analyze traffic patterns.
• Detect congestion.
• Adjust traffic lights instantly.

Examples:

• Pittsburgh: AI-managed traffic lights cut travel time by 25% and reduced wait times by 40%.
• Los Angeles: Automated signal control with 40,000 detectors lowered travel time by 10%.

3. Smarter Urban Planning

AI video analytics helps urban planners by showing how public spaces are used. This supports:

• Better parks and walking areas.
• Improved bike paths.
• Data-driven planning for sustainable urban design.

Examples:

• Barcelona: AI planning increased green spaces by 20%, improving air quality and quality of life.
• Prolifics’ AI Video Analytics Program: Uses computer vision to study pedestrian and cyclist patterns to design safer, more enjoyable trails.

4. Going Green

AI helps reduce carbon emissions by encouraging non-motorized commutes. Cities benefit from:

• Insights into pedestrian and cyclist traffic.
• Support for greener trails and eco-friendly travel.
• Better planning for sustainable mobility.

Examples:

• Copenhagen: Smart City AI monitoring increased cycling by 10%, reducing emissions.
• Brookings Institution: AI-driven cities can achieve both economic growth and sustainability.

5. Boosting Local Business

AI video analytics provides insights into customer behavior, helping businesses:

• Improve targeted marketing.
• Choose better store locations.
• Increase sales and customer satisfaction.

Study: Harvard Business Review found businesses using AI analytics saw a 50% boost in sales efficiency and a 60% rise in customer satisfaction.

6. Protecting Our Privacy

Advanced AI systems protect privacy by:

• Anonymizing personal data at the edge.
• Keeping information secure.
• Ensuring compliance with strict regulations.

Expert Insights:
Konrad Konarski, VP of AI & Emerging Technologies at Prolifics Inc., said:

“Our approach not only leverages cutting-edge AI but also emphasizes ethical considerations and privacy.”

7. Engaging and Educating the Community

AI initiatives go beyond technology by involving people. They support:

• Educational workshops.
• Research partnerships with universities.
• Collaborations with non-profits.

Examples:

• Georgia Tech: Dr. Karthik Ramachandran noted that AI projects provide valuable research opportunities, bridging academia and real-world needs.
• Seattle: AI-driven community engagement created more inclusive city development.

Conclusion

Urban cities face challenges in safety, traffic, planning, sustainability, and community engagement. AI video analytics helps solve these by:

• Improving public safety.
• Managing traffic efficiently.
• Supporting greener lifestyles.
• Boosting businesses.
• Protecting privacy.
• Engaging residents in meaningful ways.

Explore how AI supports green communities, Learn how Prolifics transforms urban green spaces into safe, well-maintained, and engaging areas.

What is multi-cloud?

Gartner predicts that by 2026, 75% of organizations will adopt a digital transformation model predicated on cloud as the fundamental underlying platform.

Multi-cloud refers to the use of multiple cloud computing services in a single heterogeneous architecture. This strategy allows organizations to leverage the strengths and benefits of various cloud service providers, avoiding vendor lock-in, and increasing flexibility and resilience. Multi-cloud environments can include combinations of public clouds, private clouds, and hybrid clouds, enabling businesses to optimize their workloads based on performance, cost, and regulatory requirements.

Differences between multi-cloud vs hybrid cloud vs private cloud vs public cloud

Multi-cloud	Hybrid Cloud	Private Cloud	Public Cloud
Multi-cloud involves utilizing multiple cloud services from different providers. For example, a business might use AWS for data storage, Microsoft Azure for machine learning workloads, and Google Cloud Platform for application hosting. This approach offers flexibility and mitigates the risks associated with relying on a single vendor.	Hybrid cloud refers to an environment that combines private and public cloud services, orchestrated to function as a single integrated infrastructure. This model allows data and applications to be shared between them. For example, sensitive data can be kept in a private cloud, while less critical workloads can be processed in a public cloud.	A private cloud is a cloud computing environment dedicated exclusively to a single organization. It can be hosted on-premises or by a third-party service provider. Private clouds offer the highest level of security and control, making them ideal for industries with stringent regulatory requirements, such as healthcare and finance.	Public clouds are cloud environments created from IT infrastructure not owned by the end user. They are typically operated by third-party providers, such as AWS, Google Cloud, and Microsoft Azure, and deliver scalable and elastic IT-enabled capabilities as a service to multiple customers over the internet.

Benefits of multi-cloud

Multi-cloud architecture offers following benefits:

Cloud-native application development in a multi-cloud environment enables organizations to develop and deploy applications faster. It also helps organizations achieve business agility and improve their responsiveness to change. – IDC Insights

1. Flexibility and Choice: One of the primary benefits of a multi-cloud strategy is flexibility. Organizations can choose the best services and solutions from various providers to meet their specific needs. This flexibility extends to pricing, as businesses can select services that offer the most cost-effective solutions.
2. Avoiding Vendor Lock-In: Relying on a single cloud provider can lead to vendor lock-in, making it difficult to switch providers without significant cost and disruption. A multi-cloud approach mitigates this risk by distributing workloads across multiple providers. This strategy ensures that if one provider’s service becomes unsatisfactory, the organization can easily transition to another.
3. Resilience and Redundancy: Using multiple cloud providers enhances an organization’s resilience and redundancy. If one provider experiences an outage or service disruption, workloads can be shifted to another provider, minimizing downtime and maintaining business continuity.
4. Optimized Performance: Different cloud providers have varying strengths and weaknesses. By leveraging a multi-cloud strategy, organizations can optimize performance by deploying workloads on the most suitable platforms. For instance, one provider might offer superior data analytics tools, while another excels in AI and machine learning capabilities.
5. Compliance and Data Sovereignty: In today’s regulatory environment, data compliance and sovereignty are critical. Multi-cloud allows organizations to store and process data in specific geographic regions to comply with local regulations. This flexibility helps businesses meet data governance requirements more efficiently.

IDC predicts spending on cloud infrastructure will be reaching $213.7 billion in 2028 and accounting for 75.0 percent of total compute and storage infrastructure spend.

Challenges of multi-cloud

Despite numerous benefits of working with multiple cloud models, it has some limitations.

1. Complexity in Management: Managing multiple cloud environments can be complex and require specialized skills. Organizations must handle different interfaces, management consoles, and service agreements, which can lead to increased administrative overhead. Effective management tools and strategies are necessary to streamline operations across diverse platforms.
2. Security Risks: While multi-cloud can enhance security through redundancy, it also introduces potential vulnerabilities. Each additional cloud provider increases the attack surface, and ensuring consistent security policies across multiple environments can be challenging. Organizations must implement robust security measures and maintain vigilance to protect their data.
3. Cost Management: Multi-cloud environments can lead to cost overruns if not managed properly. Different pricing models and billing structures from various providers can complicate budgeting and financial planning. Organizations need comprehensive cost management tools to track and optimize their cloud spending effectively.
4. Integration and Interoperability: Integrating and ensuring interoperability between different cloud platforms can be challenging. Data transfer, application compatibility, and service integration must be carefully managed to avoid issues. Organizations often need middleware and integration platforms to facilitate seamless operation across multiple clouds.
5. Vendor Relationship Management: Dealing with multiple cloud providers requires effective vendor relationship management. Organizations must negotiate contracts, manage service-level agreements (SLAs), and resolve issues with each provider. This complexity can strain resources and requires a strategic approach to vendor management.

Conclusion

Multi-cloud offers significant advantages, including flexibility, resilience, and optimized performance, making it an attractive strategy for modern organizations. To successfully implement a multi-cloud strategy, organizations must invest in robust management tools, develop comprehensive security policies, and maintain effective vendor relationships. With careful planning and execution, the benefits of multi-cloud can outweigh the challenges, enabling businesses to achieve greater agility, scalability, and innovation in their IT operations.

Looking to adopt a cloud-native architecture for your business? Enable increased connectivity, scalability and superior customer experiences with a dedicated cloud-native application development team from Prolifics!

Talk to Prolifics experts to integrate with multi-cloud environment.

In today’s rapidly evolving digital landscape, cloud migration has become a strategic imperative for businesses aiming to stay competitive and innovative. Migrating to the cloud offers numerous benefits, including cost savings, scalability, flexibility, and enhanced security. However, the journey to the cloud can be complex and daunting. This is where Prolifics steps in, offering unparalleled expertise and cutting-edge solutions to ensure a smooth and successful cloud migration.

What is cloud migration?

Cloud migration is the process of moving data, applications and workloads from an on-premises data center to a cloud-based infrastructure. 

According to the Forrester study, 89% of respondents agreed that automation is important to operationalizing multi-cloud infrastructure, and Automation is helping to optimize cost and scale operations.

Key Benefits of Cloud Migration

Cloud migration involves moving data, applications, and IT processes from on-premises or legacy infrastructure to cloud-based environments. This transition allows organizations to leverage the full potential of cloud computing, driving business transformation and growth.

• Scalability and Flexibility: Easily scale resources up or down based on demand, ensuring optimal performance and cost efficiency.
• Enhanced Security: Benefit from robust security measures and compliance standards offered by leading cloud providers.
• Business Continuity: Ensure high availability and disaster recovery capabilities, minimizing downtime and data loss.
• Innovation and Agility: Accelerate time-to-market for new applications and services, fostering innovation and business agility.

 Key Technologies Driving Cloud Migration 

Successful cloud migration relies on a variety of technologies and services, each playing a crucial role in the process. Here are some of the key technologies driving cloud migration:

• Infrastructure as a Service (IaaS): IaaS provides virtualized computing resources over the internet, allowing businesses to run their applications without the need for physical servers. Leading IaaS providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
• Platform as a Service (PaaS): PaaS offers a complete development and deployment environment in the cloud, simplifying the process of building, testing, and deploying applications. Popular PaaS solutions include AWS Elastic Beanstalk, Azure App Service, and Google App Engine.
• Software as a Service (SaaS): SaaS delivers software applications over the internet on a subscription basis. This model eliminates the need for installation and maintenance, providing users with easy access to software from any device. Notable SaaS providers include Salesforce, Microsoft Office 365, and Slack.
• Containerization and Orchestration: Containers, such as Docker, package applications and their dependencies, ensuring consistent performance across environments. Kubernetes, an open-source orchestration platform, automates the deployment, scaling, and management of containerized applications.
• Serverless Computing: Serverless computing allows developers to build and run applications without managing servers. Services like AWS Lambda, Azure Functions, and Google Cloud Functions automatically scale based on demand, optimizing resource usage and reducing costs.

Gartner predicts 60% of data center infrastructure teams will have relevant automation and cloud skills by 2027.

How Prolifics Can Help You in Cloud Migration

At Prolifics, we understand that each organization’s cloud migration journey is unique. Our comprehensive suite of services and solutions is designed to address the specific needs and challenges of your business, ensuring a seamless transition to the cloud.

• Strategic Planning and Assessment: We begin with a thorough assessment of your existing infrastructure, applications, and business objectives. Our experts develop a tailored cloud migration strategy that aligns with your goals, ensuring a clear roadmap for success.
• Cloud Architecture and Design: Our team designs a robust cloud architecture that maximizes performance, security, and scalability. We leverage best practices and industry standards to create a solution that meets your unique requirements.
• Migration and Implementation: Prolifics handles the entire migration process, from data transfer and application rehosting to replat forming and refactoring. We ensure minimal disruption to your operations, maintaining data integrity and availability throughout the transition.
• Optimization and Management: Post-migration, we provide ongoing optimization and management services to ensure your cloud environment continues to deliver maximum value. Our proactive monitoring, maintenance, and support services keep your systems running smoothly and efficiently.
• Security and Compliance: Security is a top priority at Prolifics. We implement comprehensive security measures and ensure compliance with relevant regulations and standards, protecting your data and applications from threats.

Conclusion

Cloud migration is a transformative journey that can propel your business to new heights. With Prolifics as your trusted partner, you can navigate the complexities of this transition with confidence. Our expertise in cloud technologies and commitment to delivering exceptional results ensure your migration is smooth, secure, and successful.

Ready to embark on your cloud migration journey?

Contact Prolifics and discover how we can help you harness the power of the cloud to drive your business forward.

Manta-Prolifics Microsoft Purview Connector (MPP)

Today’s hybrid workspaces require data to be accessed from a plethora of devices, apps and services across the globe. Data governance is not easy. You need a methodology and approach and a strategy to get it right. And lineage is just one piece of the major puzzle that is governance.

The Manta-Prolifics Microsoft Purview (MPP) Connector is designed to enhance the data lineage capabilities for Microsoft Purview customers beyond standard features. It’s created for systems where data lineage isn’t automatically captured and empowers users to leverage Manta for automatic collection of lineage information, without the hassle of custom development.

A recent study by Forrester Consulting highlights that only 42% of organizations have the competence to train Gen AI models, while a massive 89% fail at getting business data ready for Gen AI. Moreover, only 23% of the organizations have implemented a governance plan.

Capabilities of MPP Connector

Seamlessly integrating this data into Purview, MPP offers a comprehensive lineage view, enabling better tracing of data journeys across on-premises, multi-cloud, and software as a service (SaaS) data. Rolling out new capabilities help organizations integrate Manta into their own data governance solutions, including Microsoft Purview, so they can make headway in their digital transformation journeys.

• Enhanced Lineage Integration: Integrate Manta’s sophisticated lineage seamlessly into existing Microsoft Purview solutions.
• Comprehensive Governance Initiatives: Enable comprehensive governance initiatives for improved data management and compliance assurance.
• Unified Lineage Capture: Expand across diverse tech types* (e.g., ETL tools, databases, BI platforms) beyond specific systems like IBM DataStage, SSIS, MS SQL, Power BI, and SSAS. Seamlessly integrate lineage from any Manta-supported source for broader insights compared to Purview alone.
• Deeper Lineage Access: Creates a link back to the detailed lineage viewer in Manta, providing Purview users with access to a more comprehensive lineage view compared to what is provided by the Purview UI.

Key Benefits of MPP Connector

The Manata Purview Microsoft connector serves a critical role in integrating Manta’s advanced data lineage capabilities with Microsoft Azure Purview. Here’s how such a connector typically functions and is utilized:

• Data Lineage Integration: Manta specializes in providing comprehensive data lineage solutions. The connector enables Azure Purview users to leverage Manta’s capabilities for tracking and visualizing data lineage across heterogeneous data environments. This includes understanding how data moves through various systems, applications, and processes.
• Comprehensive Visibility: Get full visibility into data assets and lineage relationships, facilitating improved data quality, compliance assurance, impact analysis, and understanding data architectures for cloud migration.
• Streamlined Governance: Facilitate effective governance initiatives for enhanced data management, contributing to reduced costs and risks while promoting regulatory compliance.
• Scalability: Scale data lineage capabilities to meet evolving organizational needs efficiently, enabling enhanced business agility and adaptability to be changing data environments.
• Enhanced Data Governance: By integrating Manta with Azure Purview, organizations can enhance their data governance initiatives. They gain deeper insights into data flows, dependencies, and transformations, which are crucial for regulatory compliance, data quality management, and risk mitigation.
• Unified Data Management: The integration helps in creating a unified view of metadata and lineage information. This unified view is beneficial for data stewards, analysts, and compliance officers who need accurate and timely insights into data lineage to support decision-making and ensure data integrity.
• Automated Lineage Discovery: Manta’s automated lineage discovery capabilities complement Azure Purview’s data discovery functionalities. The connector automates the discovery of data lineage, reducing manual effort and accelerating the process of understanding how data moves through the organization’s IT landscape.

IDC expects worldwide spending on AI solutions will grow to more than $500 billion in 2027. By 2025, Global 2000 (G2000) organizations will allocate over 40% of their core IT spend to AI-related initiatives, leading to a double-digit increase in the rate of product and process innovations.

Overall, the Manta Prolifics Microsoft Purview Connector represents a collaboration aimed at enhancing data governance and management capabilities by integrating advanced data lineage solutions with Microsoft’s cloud-based data governance platform, Azure Purview. This integration helps organizations achieve greater visibility, control, and compliance over their data assets.

With Manta and Prolifics, you’ll always know what’s happening with your data.

To learn more about how Manta-Prolifics purview connector can enhance data lineage, talk to one of our data experts. 

How to Build Your Own AI App: A Step-by-Step Guide 

Welcome to our comprehensive guide on building your own AI application, derived from our team of experts including Rajesh Gontla and Kartikey Chawla.  This guide will take you through the process from start to finish, helping you transform your idea into a fully functional AI app. 

Introduction 

Creating an AI application might seem daunting, but with the right approach and tools, it becomes manageable and rewarding. This guide will help you understand the key components and steps involved in building an AI app, focusing on a conversational AI assistant as an example. 

Step 1: Understanding the Basics 

Before diving into the coding, it’s essential to grasp the fundamental concepts: 

1. AI Solutions and Technologies: Familiarize yourself with various AI technologies and their business applications. 

1. Use Cases: Identify potential use cases for your AI app to ensure it meets specific business needs. 

Getting You Started, Part 1 – RAG Core 

A quick tutorial to help you get started in building your own RAG-based AI application: 

Step 2: Setting Up Your Environment 

You’ll need to set up your development environment to start building your AI application. Here’s a quick overview of the necessary steps: 

1. Choose Your Tools: Decide whether you’ll use open-source tools like Llama Index or proprietary tools like IBM’s Watson. 
2. Set Up Your IDE: Install an Integrated Development Environment (IDE) such as Visual Studio Code or PyCharm. 

Getting You Started, Part 2 – Assistant UX 

 

A quick tutorial to help you get started in building your own sophisticated AI assistant: 

Step 3: Building a Conversational AI Bot 

Let’s create a conversational AI bot for a website as our example project. 

Step 3.1: Data Preparation 

Prepare your data, which can be documents, PDFs, or web pages: 

• Document Collection: Gather relevant documents and information. 

• Data Storage: Choose a vector database to store your data, such as Elasticsearch or a local storage solution. 

Step 3.2: Creating the Vector Database 

Create a vector database to facilitate quick and efficient data retrieval: 

• Install Libraries: Use libraries like Llama Index for data processing. 

• Data Loading: Load your documents into the vector database. 

• Embedding and Tokenization: Convert text data into numerical representations for the AI to understand. 

Step 3.3: Developing the AI Model 

Develop the AI model that will interact with the vector database: 

• Model Selection: Choose a pre-trained language model, such as GPT-3 or Watson Assistant. 
• Model Integration: Integrate the model with your application. 

Step 3.4: Building the Chatbot Interface 

Create the user interface for the chatbot: 

• UI Design: Design a user-friendly interface. 
• Backend Integration: Connect the UI to the backend AI model. 

Step 4: Testing and Optimization 

• Testing: Rigorously test your AI application to identify and fix any issues. 
• Optimization: Optimize the application for better performance and user experience. 

Step 5: Deployment 

Deploy your AI application to a live environment: 

• Hosting: Choose a hosting solution, such as AWS, Google Cloud, or IBM Cloud. 
• Launch: Launch your application and monitor its performance. 

Conclusion 

Building your own AI application involves multiple steps, from understanding the basics to deploying the final product. By following this guide and leveraging the tools and techniques discussed, you can create a robust and effective AI app.  

Prolifics offers expert guidance, training, access to advanced tools, and continuous support to help you build and deploy your AI application successfully. Contact us for personalized assistance and leverage our resources and expertise to ensure your project’s success. 

Happy coding! 

In a recent chat, we explored the story of PainScript, a cutting-edge telehealth platform, and its successful partnership with Prolifics. Our panel included Scott Cashon (PainScript CTO), Shyam Tumma (Delivery Partner at Prolifics), Rajeev Sharma (Solution Architect at Prolifics) and Greg Hodgkinson (Prolifics CTO). This conversation highlighted PainScript’s growth, Prolifics’ vital support, and what lies ahead. Here’s a Q&A capturing the key points from this engaging session. 

About Painscript 

PainScript, a psychiatry practice based in Washington, D.C., has taken proactive steps in the telehealth space. In 2021, they partnered with Prolifics to launch a groundbreaking digital platform (web and mobile) for managing chronic pain and substance abuse. The mobile app is used by doctors and administrators to manage patient care, while patients use it to receive notifications and fill out surveys. This innovative platform, the first of its kind in the US, offers comprehensive online treatment reminders and support for mental health patients. It helps patients adhere to their treatment schedules and improve their overall health through consistent engagement and reminders. Designed to provide real-time, evidence-based care, the platform aims to enhance health outcomes and reduce healthcare costs for patients dealing with opioid and other substance use issues.  

Q: Scott, can you give us an overview of PainScript’s journey and its collaboration with Prolifics? 

Scott Cashon (PainScript CTO): Absolutely. PainScript started with a focus on pain and substance use disorder patients. Over the years, we’ve expanded our platform to other verticals like bariatrics, physical therapy, and rheumatology. Our collaboration with Prolifics has been pivotal. They’ve been instrumental in helping us navigate the startup phase and scale our operations efficiently. Part of the reason for our success is the ability to work with companies like Prolifics, who have supported us in becoming successful and joining in our success as we hit our stride and build up our customer base.” 

We’ve increased our customer base by over 50%, thanks to the robust support and flexibility of Prolifics. This partnership has been built on trust and adaptability, allowing us to navigate challenges and seize opportunities effectively. 

Q: Shyam, how has Prolifics supported PainScript through its growth? 

Shyam Tumma: We’ve built a strong, trust-based relationship with PainScript. We started working with them as a startup knowing that we will face rapidly changing priorities. We’ve worked closely to develop a scalable platform that can accommodate their growth and new verticals efficiently. We employed Agile methodologies and used advanced technologies like Angular, React, and Azure DevOps for the development and automated deployment processes. The platform was originally designed to support patients who struggle with mental illnesses or substance abuse disorders and require consistent reminders and notifications for their treatment schedules. Our solution helped fill this gap by providing an application offering online treatment reminders and support. Our approach has been very agile – whether it’s addressing emergencies or shifting priorities, our team has always been ready to support them.   Flexibility is key in our approach.  

Q: How does the application work for patients with mental health issues? 

Shyam Tumma: The application sends prompt notifications to remind patients about their medication schedules, therapy sessions, and other essential activities like yoga or exercise. For instance, a patient might receive a notification at 6:00 AM to take their medication, another at 9:00 AM for yoga, and a third at 12:00 PM (Project Manager) for a second dose of medication. This helps ensure they adhere to their treatment plans despite their mental health challenges.  

Q: How does the application help doctors monitor their patients’ progress? 

Shyam Tumma: Doctors can conduct regular surveys through the app to check patients’ progress. These surveys may be conducted daily, weekly, or monthly, asking patients about their symptoms, medication adherence, and overall well-being. Based on the survey results, doctors can adjust treatments, prescribe new medications, or refer patients to specialists if needed. 

They take the time to understand the requests we make and how they fit into the larger platform. I’ve lost track of the number of times that they’ve suggested alternative approaches that are more efficient ways of accomplishing our goals. 

Q: What was the outcome of the initial release of the application? 

Scott Cashon: The beta version of the application was a massive success, leading to significant growth for Painscript. We now serve over 2,000 patients, thanks to the expanded and enhanced features of the application. 

Q: Scott, what recent achievements has PainScript accomplished with Prolifics’ help? 

Scott Cashon: One significant change we made recently is the development of a universal version of our app. Previously, we customized the app extensively for each client, which involved changing names, logos, and colors, and running it through the Apple and Android stores. This process was manageable when we had just a few customers, but as our customer base grew, it became a bottleneck. 

To address this, we created a more flexible version of the app that can be quickly adapted for new clients. Instead of fully white labeling the app for each customer, we now have a single universal version. This means we only need to rebrand it slightly – for example, updating the logos and color schemes – rather than making extensive changes. 

“The Prolifics team has been able to turn it around very quickly so that we can keep things moving.” 

This approach has dramatically reduced the time required to launch the app for new customers. Now, patients still see a branded experience once they log in, with the appropriate logos and color schemes for their specific provider, but we avoid the lengthy approval process from app stores. This has been a game-changer for us, allowing us to scale much faster and meet the needs of our growing customer base efficiently. 

Q: Scott, how do you ensure the accuracy and reliability of the data collected from patients? 

Scott Cashon (PainScript CTO): Ensuring the accuracy and reliability of the data we collect from patients is crucial for providing effective care. Our approach involves a combination of direct and indirect questions to get a comprehensive view of the patient’s condition. 

• Direct Questions: These are straightforward questions that directly address specific aspects of the patient’s health. For example, we might ask patients to rate their pain on a scale from 1 to 10. This gives us a clear, quantifiable measure of their pain level. 
• Indirect Questions: These questions gather information that can provide context to the direct answers. Instead of asking about pain directly, we might ask patients how their pain affects their daily activities, such as whether they can go to work or perform household chores. These responses help us understand the practical impact of their pain and validate the information provided through direct questions. 

By using both types of questions, we can cross-verify the data. For instance, if a patient reports high pain levels but also mentions that they can perform all their daily activities without much difficulty, this discrepancy might prompt further investigation or adjustment of their treatment plan. 

We also employ patient-specific alert thresholds. This means that we tailor alert settings to each individual’s normal patterns and pain tolerance levels. For example, if a patient usually reports a pain level of 6, an alert might only be triggered if their pain level suddenly increases to 9. Conversely, for a patient who typically reports lower pain levels, an alert might be set at a lower threshold, such as 4 or 5. 

This personalized approach ensures that alerts are significant and relevant, reducing unnecessary notifications and focusing attention on potential issues that genuinely require intervention. By combining direct and indirect questions with customized alert thresholds, we can provide a more accurate and reliable assessment of each patient’s condition. 

Overall, this methodology allows us to build a comprehensive and accurate picture of our patients’ health, leading to more effective and personalized care. 

Q: Greg, from your perspective, what makes this partnership successful? 

Greg (Prolifics CTO): Our success really started with our decision to create a flexible, scalable platform instead of just a single product. This smart move allowed PainScript to expand into new areas without having to start from scratch. 

What’s been equally important is our team’s dedication to supporting PainScript through its critical growth phases. We’ve been able to adapt quickly and deliver high-quality solutions, which has really strengthened our partnership. 

We’re constantly working on the application, providing ongoing development, managed service support, and continuous improvements. We collaborate closely with PainScript to roll out new features and enhancements based on user feedback and evolving needs. This hands-on approach ensures the application stays reliable and effective for both patients and healthcare providers. 

Q: Scott, can you share more about the recent projects and updates you’ve been working on with Prolifics? 

Scott Cashon (PainScript CTO): Absolutely. We have been quite busy with several exciting developments. Recently, we launched a new vertical in bariatrics. This means we’ve expanded our services to include support for patients undergoing bariatric surgery, which is an area that has shown significant demand. 

In addition to bariatrics, we are actively working on developing content for two other important areas: physical therapy and rheumatology. These expansions are part of our strategy to broaden the scope of our telehealth platform and reach more patient groups with specific needs. Physical therapy, for instance, can benefit greatly from remote monitoring and personalized exercise plans, while rheumatology patients often require ongoing, detailed management of their symptoms. 

“Recently, we launched a new vertical in bariatrics and are working on content for physical therapy and rheumatology… The platform’s architecture allows us to plug in clinical content efficiently, which has been crucial for this expansion.” 

One of the key reasons we’ve been able to expand into these new areas so effectively is due to the robust architecture of our platform. The system is designed in a way that allows us to integrate new clinical content quickly and efficiently. This modular approach means we can add new treatment protocols, guidelines, and patient management tools without having to rebuild the core system each time. It’s like adding new rooms to a well-designed house, rather than constructing an entirely new building. 

We’re also placing a strong emphasis on data and analytics. As we grow and our patient base increases, the ability to analyze data and extract meaningful insights becomes crucial. By focusing on data analytics, we can better understand patient populations, identify trends, and improve overall outcomes. For example, we can monitor how different patient groups respond to specific treatments or identify early warning signs that might require intervention. 

Prolifics have been instrumental in these developments. Their technical support and expertise have been crucial in implementing these changes swiftly and effectively. They’ve helped us ensure that our platform can handle the increased load and complexity that comes with supporting more diverse patient groups and providing deeper analytical capabilities. 

By focusing on data analytics, we can better understand patient populations, identify trends, and improve overall outcomes.

Overall, these expansions and enhancements are part of our ongoing commitment to improving patient care through innovative telehealth solutions. With Prolifics’ support, we’re well-positioned to continue growing and making a positive impact on more patients’ lives. 

Q: Scott, what are the future plans and upcoming projects for PainScript? 

Scott Cashon (PainScript CTO): Looking ahead, we have several exciting developments in the pipeline. One of our primary focuses is expanding our data analytics capabilities. As our client base grows, it becomes increasingly important to understand the diverse needs and behaviors of our patient populations. By leveraging advanced data analytics, we can identify trends and patterns that inform better clinical decisions and personalized care. 

“Looking ahead, we’re excited about expanding our data analytics capabilities… As our client base grows, understanding patient populations and identifying trends becomes more critical…” 

For example, with a larger pool of data, we can detect early warning signs of health issues and intervene before they become severe. This proactive approach helps improve patient outcomes and optimize resource allocation for healthcare providers. 

We’re also enhancing our mobile app to offer more comprehensive resources to our users. This includes integrating additional content such as PDFs, meal plans, and educational materials. These resources provide patients with the information they need to manage their conditions more effectively. 

Moreover, we are incorporating more gamification elements into the app. Gamification involves using game-like features to encourage user engagement and adherence to treatment plans. For instance, patients can earn badges or rewards for completing their daily check-ins or reaching health milestones. This not only makes the app more engaging but also motivates patients to stick to their treatment regimens. 

Additionally, we are exploring partnerships with other healthcare providers to develop content for new verticals like physical therapy and rheumatology. These collaborations allow us to expand our offerings and provide specialized care for more patient groups. 

Q: Greg, any final thoughts on the collaboration between Prolifics and PainScript? 

Greg (Prolifics CTO): This partnership exemplifies the power of collaboration and innovative thinking. From the outset, our goal was to create a platform that was not only effective but also scalable and flexible. This strategic approach has allowed PainScript to grow and adapt seamlessly to the evolving healthcare landscape. 

“This partnership exemplifies the power of collaboration and innovative thinking… By focusing on creating a scalable and flexible platform from the start, we’ve enabled PainScript to grow and adapt seamlessly…” 

Our team’s dedication and agility have been key factors in this success. We have been able to quickly respond to PainScript’s needs, whether it’s implementing new features, addressing technical challenges, or adapting to changing priorities. This responsiveness has been crucial in supporting PainScript’s rapid growth and ensuring they can deliver high-quality care to their patients. 

“The dedication and agility of our team have been key factors in this success…” 

Looking forward, we are excited to continue this partnership and explore new opportunities together. The healthcare industry is constantly evolving, and we are committed to staying at the forefront of innovation. By working closely with PainScript, we aim to develop even more advanced solutions that improve patient outcomes and drive the future of telehealth. 

“We’re excited to continue supporting PainScript and exploring new opportunities together.” 

The collaboration between Prolifics and PainScript is a testament to what can be achieved when two organizations come together with a shared vision and a commitment to excellence.

Thank you, Scott, and the PainScript team, for your trust and partnership. We look forward to the continued success and growth!

About Prolifics

At Prolifics, we don’t just see ourselves as service providers; we see ourselves as partners in our clients’ journeys to success. Scott’s testimonial is a heartfelt reminder of why we do what we do – to make a meaningful difference for our clients through dedication, thoughtfulness, and skill. We look forward to continuing our partnership with PainScript and many others, driving success and innovation together.  

Interested in learning more about PainScript and Prolifics’ collaboration? Stay updated with our latest stories, webinars, and podcasts by following us on LinkedIn. 

Insights from Prolifics’ June of Gen AI for Business 

In the fast-paced world of software development, efficiency and innovation are paramount. During Prolifics’ ongoing “June of Gen AI for Business” initiative, we delved into a powerful tool that’s transforming the developer landscape: GitHub Copilot. Presented by Rashminkumar Viramgama, this session highlighted how GitHub Copilot is revolutionizing the way developers work, enabling them to achieve more in less time. 

GitHub Copilot: Your AI-Powered Pair Programmer 

GitHub Copilot, an AI-powered tool developed by GitHub in collaboration with OpenAI, acts as a real-time coding assistant. By providing context-aware code suggestions, it significantly enhances developer productivity. Rashmi introduced GitHub Copilot as a “pair programmer” that offers real-time suggestions, speeds up repetitive tasks, and improves code maintainability. 

“GitHub Copilot enables developers to focus on higher-level design and problem-solving by taking over routine coding tasks,” Rashmi noted. “This not only boosts productivity but also encourages innovation by allowing developers to concentrate on the more creative aspects of their work.” 

Enhancing Productivity and Code Quality 

One of the standout features of GitHub Copilot is its ability to understand the context of the code being written. Rashmi demonstrated how developers can set the context and let GitHub Copilot handle routine coding tasks. For example, by simply specifying that he wanted a bubble sort algorithm, GitHub Copilot provided the necessary code instantly, saving valuable time. 

“With GitHub Copilot, we can reduce syntactical and logical errors, enhance code quality, and explore new technologies more efficiently,” Rashmi explained. “It’s a powerful tool, but it doesn’t replace our critical thinking and logical reasoning. Instead, it augments our capabilities, allowing us to produce high-quality code more quickly.” 

Real-Time Code Suggestions 

During the demonstration, Rashmi showcased how GitHub Copilot offers real-time code suggestions that align with the developer’s intentions. For instance, when tasked with creating a sorting algorithm, GitHub Copilot generated optimized code for various sorting methods such as binary sort and radix sort. This feature is particularly useful for handling repetitive coding tasks, allowing developers to focus on more complex problems. 

“GitHub Copilot provides context-aware suggestions based on what you’re working on. Whether it’s sorting algorithms or physics calculations, it understands the context and offers relevant code snippets,” Rashmi said. “This capability can save developers significant time and effort, especially when dealing with familiar patterns and routines.” 

Community and Knowledge Sharing 

GitHub Copilot also benefits from a vast community of developers who contribute to its knowledge base. This collective intelligence ensures that the suggestions provided are not only relevant but also optimized for performance and readability. Rashmi highlighted how developers can leverage this community-driven knowledge to enhance their coding practices. 

“By using GitHub Copilot, developers can access a wealth of community-driven knowledge and best practices,” Rashmi noted. “This helps in maintaining high coding standards and ensures that the solutions provided are both effective and efficient.” 

A Powerful Tool with Caution 

While GitHub Copilot offers numerous advantages, Rashmi emphasized the importance of critical thinking and adherence to coding standards. “GitHub Copilot is a powerful tool, but it’s not a replacement for our critical thinking and logical reasoning. We must ensure that the code it generates meets our project requirements and coding standards,” he cautioned. 

Conclusion 

GitHub Copilot is undeniably a game-changer for developers, offering real-time code suggestions, enhancing productivity, and improving code quality. By automating routine tasks, it allows developers to focus on higher-level design and problem-solving, driving innovation and efficiency. As demonstrated in our “June of Gen AI for Business” session, tools like GitHub Copilot are essential for staying ahead in the ever-evolving world of software development. 

At Prolifics, we are committed to exploring and leveraging such transformative technologies to empower our community. Join us as we continue to delve into the fascinating world of generative AI and discover more tools and techniques to enhance your development processes. Stay tuned for more insights and practical demonstrations in our upcoming sessions! 

Ready to see it in action?  Click below to schedule a demo!

A Month of Innovation and Learning 

In Week 2, we will focus on exploring the benefits of AI beyond generative models. We will also discuss how AI and automation can help businesses grow.

Here’s what’s coming up in the second week:

Tuesday, June 11th – Helping Clients Understand AI Platforms and Products

Ever wondered what makes an AI platform different from an AI product? Or how to choose the right one for your specific business needs? Salem Hadim presents an in-depth discussion on these crucial distinctions.

This session provides an overview of popular platforms such as Gemini, Bedrock, Azure OpenAI, and watsonx.ai. We will also explore various product categories with real-world examples. Gain insights into selecting the right AI tools to propel your business forward.

Wednesday, June 12th – AI Business Value: Assistants, Vector DBs, Knowledge Graphs

How can AI assistants, vector databases, and knowledge graphs transform your business operations? Rajesh Gontla, Shashank Pandey, and Bhagyashri Murlidhar Gohane guide us through the business needs these technologies address. We will learn about solutions and examples from Prolifics’ clients. Plus, we will see demos of the technologies in action and discover the tangible business value they deliver.

Thursday, June 13th – AI Business Value: Autonomous Automation, Predictive AI, and Computer Vision

Interested in how autonomous automation, predictive analytics, and computer vision are changing the game? Discover new technologies with Sunil Mukati, Prins Kumar, Drakshayani Hattiyavar, and Ajay Madwesh. We will learn how top companies are using AI solutions to achieve great results and stay competitive.

Let’s continue our journey of Thinking, Learning, and Applying AI for Business. Dive deeper into the exciting world of AI and automation as we work towards creating significant business value. Contact us for a FREE discovery call!