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Because of the health crisis, millions of people have now been working from home for almost a year, and companies have no choice but to adapt. To simplify this process, many organizations have turned their attention to low-code and no-code application development platforms. According to Business Wire, the future is no code or low code. The expected growth rate for these platforms by 2022 is 44.4%, reaching 27.23 billion US dollars (up from 4.32 billion US dollars in 2017). IDC has reported that by 2023, more than 500 million apps will be developed. That is much more than decades of apps put together! Let us understand the enterprise applications and where low-code and no-code comes in:

What are Enterprise Applications?

Enterprise software applications require software that large enterprises/organizations use to build and run core business functions (such as sales, marketing, supply chain, logistics, business intelligence, and others). They are integrated or interfaced with other application programs to jointly create a larger enterprise system.

Although enterprise applications are designed to serve large organizations, there can be a few obstacles due to the scale of enterprise software. The implementation of enterprise solutions can be lengthy and disruptive, so they require skills and technical expertise to make them work. With the continuous development of digital technologies, it is impossible for companies to achieve success without applications that efficiently and effectively support their internal and external functions. The low code no code definition and development methodologies are aimed to solve these challenges for enterprises, such as

• Bandwidth Issues: Cross-enterprise internal IT teams usually have very little time left to deal with enterprise or client applications.
• Budgetary Constraints: Buying a semi-custom app or hiring a mobile/web app development company can be an expensive affair.
• Faster Go-To-Market: Even with DevOps, the time spent developing applications is still very large. Size, scope and complexity further lead to delayed deployment times almost every time.

What is Low Code or No Code Development?

The benefits of low code platforms and no-code platforms are numerous. It enables companies to develop applications with the help of visual development methods, thereby replacing alternative development routes that require writing tons of lines of code. The following are the main reasons why some companies choose to adopt this approach instead of investing in mature custom application development:

Although low-code application development and no-code software development work best when combined, there are some inherent differences between low code and no code, so they cannot be used interchangeably.

• No code platforms enable teams with zero software development and coding expertise to use functional, reusable building blocks to assemble applications, whereas,
• Low-code platforms are platforms that require a certain degree of coding but make it extremely easy for developers to develop new applications in the shortest turnaround time.

The Best Low Code and No-Code App Development Platforms

When we choose the platforms for rapid application development, the most famous ones are Siemens Mendix, Microsoft PowerApps, Appian, OutSystems, Airtable, Amazon Honeycode, Salesforce.com Lightning Platform, Zapier and Google AppSheet.

However, the industry is constantly evolving. This means that the number one brand today may not enter the list in the next quarter. However, what remains the same is that companies can benefit by using low-code, no-code application development platforms since no code and low code are the future of software application development.

Benefits of Low Code Development and No-Code Application Development Platforms

• Faster Go-To-Market: The biggest advantage is that the development time is shortened from months to weeks or even days. Not only can you bring your application to market faster, one can also quickly process user feedback and add updated features.
• Multiple Deployments: These development platforms allow companies to build applications for multiple platforms at the same time. Low-code, no-code mobile application development makes the task of deploying an application on a platform much easier.
• Reduced Errors: Lesser code equals lesser errors. Moreover, since there are fewer errors in, development time is further reduced.
• Lower Development Costs: Due to the shorter development time, faster speed, and lower resource requirements, the cost of developing low-code and no-code applications is significantly low.

Summary:
No code and low code are the future of software development. In fact, the future of coding is no coding at all. Soon, more and more enterprises will use no-code and low-code platforms to develop applications, which will provide the required governance for the development of the entire business functions. Although the pandemic is still spreading, low-code and no-code platforms are likely to only become more important as they allow developers and engineers to solve process and workflow problems quickly while working from home. These platforms will now become a more important part of the organization and become a stable tool to improve the efficiency and speed of future development. Hence, the future of low code development and no-code development is full of opportunities. It is also important to note that while these platforms offer many benefits, they will not completely replace traditional programming methods, as complex applications would still require highly skilled developers, who will understand the requirements and functions of the application at the code line level.

Pratiti Technologies is a leading product development company with rich expertise in building enterprise applications using the best low code no-code platforms that are being used by businesses in various industries to develop software without writing little or no code. We are a unique Digital product company that enables innovation-driven digital transformation for its customers, enterprises and other software product companies. We possess deep expertise in digital technologies such as Cloud Computing, Edge Computing, Data Science & Analytics as well as AR/VR. We help customers with advanced architectures in IoT and Digital Twin to enable organizations to realize innovation in their digital transformation journey.

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IoT App Development | Digital Twin Software Platforms | Industrial IoT Solutions | Digital Product Development

Gone are the days when the Internet used to be a simple and separate entity. The world is now tilting towards the Internet of Everything, with a massive increase in the number of connected devices and data.

According to Statista, the total installed base of Internet of Things (IoT) connected devices is projected to amount to 75.44 billion worldwide by 2025!

Companies are launching new products or upgrading the existing ones to be in-sync with this revolution. Since this is an entirely new field, they are relying on expert IoT solution providers to help them out in their endeavor.

Take the instance of the automobile sector. An estimate by PWC states that the automotive industry spent around $46 billion on research and development of self-driving cars in 2015 alone. When these driverless cars take to the streets, they will require to collect and analyze an enormous amount of data using features such as sophisticated sensors. IoT is at the center of this and many such innovations.

And without an IoT Product Manager, the success of any IoT product remains a huge question mark.

How Is IoT Product Management Different?

The IoT Product Management is complex because of the broad and deep scope of IoT solutions. While IoT product management has the similar set of challenges as traditional product management, the scale is much larger because of the increased complexity of the product.

Let’s understand this in more detail.

IoT product managers are different in terms of their knowledge, roles, and responsibilities as opposed to the product managers of non-IoT products. They need to have a complete understanding of this fast-evolving IoT ecosystem and market trends. They should be able to lead the product development with a vision in mind, explore new opportunities, and recommend improvements.

That being said, here are some of the tell-tale traits of the best IoT product manager

• Is a great product manager A great product manager is experienced in systems engineering, product development, and loves to work in a fast-paced, agile environment. For the sharpest minds in the industry, innovation is their first aim, and they make sure that the team is always focused on achieving the best results. When it comes to the management of an IoT product, these product managers are able to lead the firm’s IoT hardware and software portfolio by defining the product, helping in developing and maintaining it, deciding the pricing, and planning for the go-to-market strategy. They work in close quarters with other product managers to bring the best solutions to the table.

• Is a domain expert Domain expertise is one of the main pillars that can take IoT products to the highest level. IoT product managers need to be domain experts to drive the success of their projects. It allows them to ask the right questions at the right time, identify the exact problems to solve, create value, focus on the best user experiences, confidently innovate, and come up with reliable products. Their wealth of knowledge ensures that the firm operates efficiently from the concept to the final implementation phase. Their domain expertise, along with the knowledge of the complete tech stack, including device hardware, software, cloud platform, cloud application, and communication protocols, helps them drive the best solutions.

• Understands how to manage cyber-physical systems One of the key differentiators between product manager and IoT product manager is the fact that the latter has to manage the complete range of cyber-physical systems, comprising of various hardware and software components. Think of a wide range of devices such as bridges, sensors, routing devices that comprise of the hardware parts used for managing certain key tasks. Or software parts, including the technology stack, databases, user interfaces, data analysis, etc. The ace IoT product managers are experienced in modern software stacks, understand the infrastructure services, know what the cloud has to offer, can work with third party suppliers and partners, and also have experience in project management using Agile/Scrum methodologies, etc.

• Has the ability to deal with and manage multiple internal as well as external stakeholders Since most of the IoT projects have big scopes, it involves more external and internal stakeholders, who will be involved closely in designing, creating, deploying, testing, or using the solutions. Think of devices’ partners, sensor providers, supply chain vendors, customer support, operations, security, compliances, and engineering, which are all essential aspects of the IoT ecosystem in any firm. The stakeholders are extremely diverse and the IoT product manager needs to ensure that everybody is on the same page, the right information flows smoothly between them, and there are no conflicts between the stakeholders. With the advancing IoT ecosystem, in the future, as more complex products are built, more roles will evolve.

• Has a sharp focus and understanding of securitySecurity is one of the topmost concerns when it comes to building IoT products. The products are more prone to receiving security threats due to the fact that the technology is new, the number of devices getting connected is increasing, companies are rolling out the products faster, and there is a dearth of experts who understand IoT security. A product manager with prior experience and expertise in handling the security aspects will be in a better place to prioritize security above all.

The Best IoT Development Services

Pratiti is one of the leading IoT solution providers in India.

Here we offer the best IoT product development services to our clients. We have with us the top minds in the industry working as IoT product managers. These tech experts will help you inch closer to your needs and offer you the best results that you are looking for. With their in-depth knowledge, we help you in making an informed choice in various focus areas, including – user experience, business, data, technology, security, and compliance.

Have any questions? Shoot them to us, and we’ll reach out to you!

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Offshore Software Product Development | Digital Twin Software Platforms | Industrial IoT Solutions | Digital Product Development

2020 was a year of unprecedented times. It disrupted the lives of humans in a way which we never imagined. It resulted in a global disruption and chaos. On the other hand, it has also been a year of changes which accelerated the growth of the world of digitalization. Almost every industry, domain and organization were already going through changes in terms of technology and innovation, 2020 however proved to be a driving catalyst for all the changes that were in the pipeline.

Among many industries, the healthcare industry was one of the most challenging industries in 2020. It was both disrupted and reinvented on a large scale. On one hand, the healthcare workers were fighting against the deadly covid-19 on the front line and on another hand, the sector as a whole was going through revolutionary changes in terms of innovation and digitization. There has been an increased adaptation to the field of telehealth and digital health platforms. In 2020, virtual care and digital health platforms have become the most preferred means of primary care for patients. According to a recent Gartner survey, it is expected that the digital health industry will be worth $185.6 billion by 2026.

Digital Health Trends in 2021

As per the latest happening and predictions all over the globe, digital healthcare will witness a major boom in 2021. A few of these trends are:

1. Standardization Across Medical Records Through Digital Healthcare Connectivity

In the traditional healthcare system, medical records have always been about papers and files. Sharing of medical information and history between multiple doctors of a single patient has been very difficult because there was no common repository amongst them. Due to covid-19, sharing of medical records has been extremely simplified due to the surge in digital transformation. When the entire world went virtual, the physical contact between the patients and doctors became almost negligible. This acted as a catalyst for the need of digital record-keeping of medical information due to which Electronic Health Record (EHRs) or Electronic Medical Record (EMRs) Systems have become the need of the hour.

2. Artificial Intelligence / Machine Learning (AI/ML) in Healthcare

AI is one of the world’s highly adopted technologies and is expected to exceed $34 billion by 2025. There is a wide untapped potential in the power of AI which has started to unravel in recent times. AI coupled with Machine Learning algorithms will become the major cause of digital transformation in the field of healthcare in no time. Using AI/ML’s potential in pattern recognition, precision medicine, predictive analysis, drug discovery and medical imaging, clinical efficiency can be widely improved by maximizing the diagnostic accuracy and minimizing the risks involved.

3. Treating Patients with Virtual Reality (VR)

Augmented Reality (AR), Virtual Reality (VR) and Extended Reality (XR) have the power to transform the medical field. It is expected that the global market of digital health will grow to $2.5 billion by 2026. Virtual Reality is not only used to treat chronic diseases such as anxiety, pain and post-traumatic stress disorder, it also has the potential to shape medical education in a sense that certain medications or surgeries can be eliminated completely. It has a wide scope and a vast number of applications to change the way traditional treatment is given to the patients. VR simulation is another breakthrough in the digital transformation world which has the capability to plan and replicate real-life complicated medical cases.

4. Growth of Wearable Medical Devices

In today’s era, wearable medical devices are the most convenient way of monitoring one’s health. With tremendous technological advancements and digital transformation, the capabilities and the features of these devices have increased manifold. They not only help patients in preventing and maintaining their health but also help in analyzing that information for future concerns as well. According to a recent survey, the market wearable technology devices expected to reach more than $27 million by 2023. These devices help in monitoring the heart rate, oxygen level, blood sugar levels along with keeping a track of physical exercises.

Conclusion

The evolution of digital healthcare and digital health solutions has been tremendous recently. It is not about convenience anymore; it has become the need of the hour. From EHRs to on-demand virtual care, virtual appointments, virtual medical services and technologically advanced medical facilities, the scope and potential of digital healthcare has reached newer heights.

Pratiti Technologies, through its innovative unique IoT based healthcare solutions, has become a preferred healthcare development company in India. What has made Pratiti into a dynamic healthcare application development company is our zeal for innovation coupled with our technical expertise, advanced analytics and access to a global talent pool. Do reach out to us in case you are looking for custom and transformative digital healthcare solutions.

Why DevOps in Healthcare should be Considered?

In the past few decades, the healthcare industry has achieved rapid development. Paper clinics and hospitals have been replaced by smart technology applications towards more agile hospital management systems. Data is the key to the healthcare industry and is considered a key component of this treasure house. However, this data needs to comply with relevant security protocols and also be easily accessible. This is where DevOps can come in and help in gaining a competitive advantage via quick responses, data-driven insights and advanced caregiving.

DevOps provides advanced services and functions through continuous processes, with the goal of shortening the SDLC. DevOps allows rapid delivery of features, fixes and updates, while greatly reducing time to market. This is especially important for healthcare organizations that need to develop and improve products faster than traditional software development and infrastructure management processes to stay competitive. The proliferation of healthcare data, coupled with the stringent requirements of HIPAA, GxP and GDPR, poses unique challenges to the transformation of healthcare with DevOps.

The healthcare industry is rapidly developing data-driven digital solutions to further realize patient-centric care while reducing costs. As the medical field shifts to systems that provide medical services and solutions on demand, healthcare providers and hospitals are looking for DevOps to advance innovation.

What is the Step-by-step Guide to Implement DevOps in Healthcare?

If you are wondering how to Implement DevOps in healthcare, we have come up with 6 phases that will help you adopt DevOps quickly and efficiency, as below:

Phase 1 – Continuous Planning:

Review development and operations activities to modify for DevOps healthcare implementation. At this stage, the financial impact of the development and the required human resources must be planned.

Phase 2 – Code Repository with Version Control:

Implement a versioning system for developers to coordinate and control coding. Each custom healthcare solution code repository and the changes applied can be tracked. Using DevOps for healthcare application development should provide developers with an offline copy of the code repository, as well as all changes recorded on the main server.

Phase 3 – Continuous Integration (CI):

Before building and testing, focus on continually merging changes in the code into the central repository. Deploy CI tools to effectively manage application development to ensure the accuracy of configuration and integration. CI assists in the automation of software updates and cross-departmental integration of data.

Phase 4 – Automated Build:

The automation moves towards an integrated nursing solution in which automatic retrieval of scripts and codes is deployed. This recovery should be enabled from the code repository and then compiled into a binary artifact for regular testing.

Phase 5 – Automated Release through Continuous Deployment (CD):

CD is the process of ensuring that customized healthcare solutions are released at any time by regularly sending updates to the production. This step of delivering and deploying customized solutions involves delivering software and regular updates in an automated and continuous manner.

Phase 6 – Continual Feedback and Monitoring:

The last and final step to deploy DevOps is the key to sustainability. Continuous monitoring is used to ensure that healthcare software development applications are operating at an optimal level. A microscopic approach should be used to investigate every small detail, and regular feedback should be collected through self-monitoring and analysis, and data collected in an automated manner.

What are the Benefits of Implementing DevOps in Healthcare?

From faster delivery to higher quality, there are many benefits of DevOps in healthcare. A few of the benefits of DevOps in healthcare industry are as under:

• Increases Patient Engagement and Satisfaction
• Strengthens Competitive Advantage
• Facilitates Regulatory Compliance & Information Security
• Supports Data Science Initiatives
• Automates Daily Routine Tasks
• Enhances Data Leveraging
• Improves Infrastructure Efficiency and
• Reduces Operational Expenses (OPEX)

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IoT Development Services | Digital Twin Platform | Industrial IoT Companies | Outsourced Software Product Development Services

Everything about healthcare and healthcare software development is changing. The industry is changing from a provider-centric system to a patient-centric system. The authorization to transfer to electronic records and communications is sometimes inconsistent with concerns about patient information and privacy. Disruptive technologies are forcing traditional providers to re-evaluate their business methods.

To meet the ever-changing needs of healthcare, a new way is needed to research healthcare software development that serves the industry. It is no longer feasible to use a few years to measure the timetable to solve the development project of the behemoth. A quick, more flexible, and more collaborative approach is needed.

Fortunately, the healthcare industry can adopt a method that has been successfully proven in enterprises – agile software development. Agile methodology in healthcare leads to better software, faster speeds, and more user-centric features. These are just some of the benefits that agile software development can provide to the healthcare industry.

What is Agile?

Agile is tools and techniques that help us achieve agility. According to the Agile Manifesto, agile is summarized as “thorough development and helping others discover better ways to develop software”. Through Agile, we have started paying attention to:

• Interaction between individuals and processes and tools.
• Customer cooperation rather than contract negotiation.
• Responses to the changes and change requests as planned.
• Working software over comprehensive documentation.

How to Execute Agile Software Development in Healthcare

In addition to some key and non-negotiable elements, healthcare software development also has all the challenges of traditional enterprise software development. These elements increase the complexity of software development used in the healthcare field.

In order to develop useful healthcare software and systems, the project team must have a deep understanding of the technology being used. Effective use of solutions is very essential. In addition, healthcare software development must also consider regulations that are not required by other industries. HIPPA regulations and patient privacy requirements mean that any role-based security developed for healthcare must be thoroughly defined and tested. Healthcare software design requires taking into consideration doctors, nurses, other medical staff and even patients, all of whom have differing levels of technical expertise.

In such a challenging environment, agile project management in healthcare becomes critical. Adopting agile methodology in healthcare can then be done via following steps:

• Define strategic goals and determine how Agile can benefit towards them (for example, efficient activity trackers, increased patient care, enhanced care models, etc.).
• Assess departments that may already be using agile, such as the IT or innovation departments within the organization.
• Determine if there is a scope where agile model can be piloted and prepare a roadmap for implementation.
• Define the backbone of the organization, agile teams to then handle dynamic areas.
• Start agile-based model, iterate and evolve with regular feedback from the team.
• Direct the targeted department to scale to make them more agile over time.
• Through the implementation of the department, the organization will eventually reach a point where agile becomes self-sustainable.

Advantages of Agile Healthcare Software Development

Agile is widely adopted by many industries because of the benefits it provides. Some of the main benefits that healthcare institutions can obtain from using Agile are as follows:

• Employee Engagement: By allowing employees to work in self-managed teams they can provide better quality of patient care and minimal errors in the final software.
• Customer-centric: Agile emphasizes customer-centricity and regular feedback so that healthcare institutions can benefit from continual improvements.
• Reduced Risks: Due to the iterative approach, the use of agile methods can assess risks early in the Process.
• Faster ROI: As each iteration delivers results faster, gains can be seen in the early stages.
• Agility: Adopting agility enables organizations to respond quickly to changes.
• Improved Performance Transparency: Adopting agile helps improve performance transparency in clinical and non-clinical areas.

At these critical moments, healthcare institutions are expected to exert their utmost capabilities. It is very important for the medical team to remain vigilant to effectively provide the public with reliable healthcare solutions. If you are looking for a healthcare app development company with agile implementation healthcare expertise, contact us today. With Pratiti’s Agile and healthcare expertise, we can collaborate to deliver value faster, and manage projects more effectively.

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Digital Product Company | IoT Solution Providers | Industrial IoT Companies | Solar Energy Analytics

The Internet of Things (IoT) is a system composed of interconnected computing devices, machinery and digital machines, objects, animals, or people. These systems have unique identifiers and can transmit data over the network without the need for people or computers Interaction.

One of the biggest problems facing the logistics industry is tracking the fleet. The Internet of Things essentially makes vehicle tracking solutions more efficient, economical and automated. There may be n use cases for the Internet of Things, and the most relevant case is the fleet management system. IoT-based devices can capture many parameters, such as driver behaviour, idling speed and stopping time. The current vehicle tracking system can be used for fuel monitoring, load monitoring, temperature monitoring and RFID/biometric integration, etc. Here’s how an IoT Based Fleet Tracking System can work:

• Location data is collected on vehicle sensors (including GPS and OBD II sensors).
• When the vehicle is moving, data from all sensors will be periodically sent to the local gateway via the mobile data connection.
• The gateway sends the information to a web server, collects speed, location, direction, and other variables on the web server, and sends it to a secure application server in the cloud.
• The application server then sends reports and warnings about vehicle driving and safety to the mobile phone of the driver or supervisor.

The Internet of Things technology has expanded the potential of fleet management to a certain extent, and we can even call it the curator of other technologies that support smart fleet management solutions. With the help of the Internet of Things, the idea of connected vehicles has become a reality. This technology promotes machine-to-machine (M2M) communication and combines telecommunications and informatics to transmit and disseminate valuable information to stakeholders in real-time. This is the main reason why smart fleet management solutions must provide all benefits. The following are a few ways in which IoT is transforming the fleet management industry to help them gain competitive advantages.

Remote Monitoring of Assets and Fleet Tracking

Smart fleet management solutions make full use of telematics (i.e. telecommunications and informatics), which is an IoT application for vehicles. It enables fleet operators to effectively monitor the location of vehicles and the movement of assets by connecting sensors and GPS (Global Positioning System) devices to vehicles. Telematics supports two-way communication, designed to record and transmit data in real-time. Therefore, it can greatly help fleet operators monitor the safety of vehicles and drivers and ensure timely delivery of goods.

Gain Better visibility

Does your driver make unnecessary stops on the route? Are they driving all the way? Are they wasting fuel by running the engine? In the past, it was difficult or impossible to determine all these things using traditional fleet management providers and technologies. However, with automated fleet management solutions to connect vehicles and monitor driver activities, managers can gain unprecedented insight into fleet performance and driver behaviour. This enables them to know the location of the vehicle and the driver at any time, identify potential problems more quickly, and mitigate risks before they become major issues that can endanger customer satisfaction, affect driver safety, or increase costs.

Cost Optimization and Higher Bottom Line

The Internet of Things technology helps freight and transportation companies circumvent traditional operating methods, which are not only time-consuming and expensive but also create communication gaps between stakeholders. In addition, it enables fleet operators to seamlessly connect with non-management personnel, not only to communicate with them in real-time but also to provide feedback and training when needed. Another way that smart fleet management solutions can help optimize costs is by acquiring sensors and other communication devices at relatively economical prices.

Effective Predictive Maintenance of Vehicles

Smart trucks are known for their smart reporting capabilities. The reason is that they consist of advanced systems such as on-board diagnostics (OBD) that work in coordination with IoT technology. The OBD system is integrated with connected devices that support IoT, allowing fleet operators to remotely obtain key information about vehicle diagnosis. Initially, when the OBD system was developed in the 1980s, it was mainly for checking engine performance, but on the latest version of OBD-II, the system was also upgraded to issue early failure warnings. Therefore, with this advanced system, smart fleet management solutions can significantly support the predictive maintenance of vehicles, where fleet operators can perform repairs and maintenance tasks before damage occurs.

Cleaner, Greener Operations

Excessive idling time and speeding will not only waste fuel costs and unnecessary losses but also waste money. They can also be harmful to the environment. Studies have shown that idling vehicles consume more than 1 billion gallons of diesel and emit more than 10 million tons of carbon dioxide into the air. By using IoT technology to track the behaviour of drivers, such instances can be easily discovered through automatic alerts, so that managers can take the necessary measures to minimize these behaviours.

IoT is not something which is going to happen in the future; it is happening right now. It has already become the norm. With the help of IoT, it becomes easier to implement a fleet tracking system as well as make a profit-making decision. Businesses have tremendous opportunities to benefit from such a hyper-connected world and IoT, undoubtedly, has set to become the backbone of the fleet management industry. The environmental benefit is another perspective to look upon. Reports suggest that the IoT-based connected ecosystem helps fleet operators reduce the vehicle-to-site time by approximately 68%. It ultimately results in less consumption of fuel, and therefore, in less emission and reduced carbon footprints. Smart fleet management can be said to be one of the most key IoT use cases, which churns out true potentials of the technology.

To know more use cases on IoT, or to harness the potential of IoT in your organization, please contact us today!

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Digital Product Company | Healthcare Software Development Company | Industrial IoT Companies | Solar Energy Analytics

In our previous blog, we talked about the digital roadmap ahead in the new normal in manufacturing. We discussed a few common manufacturing challenges in process and discrete manufacturing as well as shed some light on the manufacturing analytics and workshop digital productivity solutions which included remote asset monitoring, OEE monitoring, customizable data visualization, predictive maintenance, advanced analytics, asset and line performance management to name a few.

In this blog, we want to discuss about MFGSuite – Pratiti’s Industrial IoT App framework devised specifically to meet the growing digitization needs from the process and discrete manufacturing sector for quick and efficient deployment of IoT Apps. MFGSuite is capable of connecting, analysing and visualising assets and processes via software and hardware IoT gateways. Our industrial IoT company is capable of building multiple apps and providing technical assistance by appropriate visualization techniques for making an informed decision. MFGSuite is a Scalable IoT Framework based on proven Open Source & Pratiti Proprietary technology components to quickly realize enterprise grade industry solutions.

Global manufacturers are heavily investing to interconnect equipment to upgrade the existing factories to digital factories. It is predicted that the manufacturers will invest $75 billion in the IoT technology up from $25 billion in 2015 by 2021. During the pandemic, adoption of IoT has been on the uprise and the manufacturers who have adopted IoT have already started reaping benefits. A recent study shows that the manufacturing units have improved their OEE (overall equipment efficiency) by up to 20%, reduced the product defects by 15% and increased the production line output by up to 12%. These are astounding figures, given that the manufacturers have implemented these solutions only 3-4 months back.

Though there are many IoT applications readily available, these solutions lack in customization and satiating the goals of each and every stakeholder involved in the process. Limited customization coupled with high investments in deployment of solutions and training of personnel beats the purpose of effective digitization. To overcome these challenges, we have come up with our own scalable framework that provides significant benefits to each and every stakeholder involved and is tailor mode for your domain. MFGSuite comprises of the below modules:

1. Plant Configurator:

• Under this module the users can create a digital replica of the enterprise plant ecosystem and associate multiple users to it.
• The module enables users to identify key performance or health parameters and upload formulation for process KPIs

2. Process360:

• This module is aimed at unlocking intelligence from your machine data on any device anytime and anywhere
• Digital Command Centre provides real time visibility of complete operational and transactional data at enterprise level
• Batch Analytics / Golden Batch is tailor made for process manufacturers for analysis for target based and peer-based Batch Production Performance Rating

3. Discrete360:

• Discrete360 is aimed at providing advanced visibility to the production, quality, energy and maintenance departments on processes such as Injection molding, machine tool centres, packaging, stamping, pressing and more
• Injection Molding: app provides a bird’s eye view for a user and provides the information on Machine running status, OEE, Plan vs. Actual Production and Efficiency
• CNC Machining app provides insights on availability, performance and quality, machine utilization and hourly production data for a shift, downtime occurrences with reasons, rejection occurrences with reasons

4. OEM360:

• OEM360 is specifically built for Original Equipment Manufacturers (OEMs) to start their digitization journey
• The module entails value propositions from Process 360 (equipment level) as well as from Discrete 360 (equipment level), thereby offering OEMs best of both worlds.

5. Scheduling App:

• This is mostly for production planning and control to accommodate different stages of the manufacturing process and provide meaningful and actionable insights.
• Provides automated, dynamic planning and scheduling functionalities for maximum utilization and effective optimization of equipment

6. Maintenance App:

• Used mostly for preventive and predictive maintenance of assets, this app provides visibility into machine conditions and provides alerts & notifications on MTTR, MTBF and more
• The app provides insights on remote monitoring parameters of assets, operational parameters, planned vs actual, machine downtime to prevent failure and loss in production

7. Energy App:

• Energy App provides visibility into monthly area or line or asset wise energy consumption and its analysis
• Energy optimization is further eased out with the help of various graphical representations of key parameters on the dashboards

MFGSuite is aimed to be ‘YOUR’ solution to provide insights to all stakeholders. It is pre-configurable, customizable, easy to deploy and has a direct impact on the organization’s revenue by virtue of its process optimization, increasing overall efficiency, reducing downtime & failure capabilities.
Industrial Internet of Things (IIoT) can transform the way industries work. It can create autonomous self-healing machines and enhance inventories using machine-learning. To know more about how MFGSuite can add value to your manufacturing process, please reach out to us today!

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Healthcare App Development Company | Offshore Software Product Development | IoT Solution Providers | Digital Twin Platform

During the coronavirus pandemic, many manufacturers in the United States and around the world were forced to stop production due to border closures to prevent the spread of the virus. As a result, the seamless global supply chain normally used to source parts and materials collapsed.

In this context, facts have proved that the 3D printing industry has played an important role in the production of important medical equipment from masks to ventilators. One key reason why additive manufacturing is so effective during the pandemic: It does not rely on global supply chains.

Additive manufacturing enables the company to move parts procurement from remote locations to on-site production facilities. Since the additive manufacturer can manufacture the required parts within a few hours, which solves the current problem of waiting for global suppliers, this also speeds up the time to market. If companies can produce parts on their own instead of relying on global suppliers, they will be better able to obtain products and meet customer needs.

AThe key question is whether these alternative sources will become permanent backups and how the manufacturing sector will regain itself in the post pandemic ‘new normal’ world?

Manufacturers always prioritize quality, efficiency and productivity, relying on human capital to produce products that meet customer needs. Some innovative factories have invested in Industry 4.0 technologies, including connecting CNC machine tools, industrial automation, 3D printing and manufacturing analysis, but they are far from popular. Under the new normal, this must change. By restoring COVID19 for management, the Digital Transformation becomes crucial. Large and small companies must rely on automation and data analysis to successfully implement “new manufacturing norms” to ensure employee safety, operational flexibility and keep factories running.

A Few Manufacturing Challenges Are:

• Difficulty in managing productivity owing to the variations in workforce, operations and the supply chain
• Risks to employee safety that now requires following new procedures including social distancing, lesser number of workers, new ways of working and managing personnel
• Daily worker temperature screenings may result in quarantines, so juggling schedules in real-time and capacity planning becomes pivotal to keep the factory running

Many companies have started relying on analytics to optimize their operations. Manufacturing analysis provides real-time operational data for:

• Enterprises Creating Visibility to Increase Global Oversight of Operations – By understanding the capabilities of human resources and asset availability, monitor and manage production performance and increase flexibility.
• Knowing the Delays in the Supply Chain – Decide where to produce products to meet demand and adjust production. Insight can provide a basis for staffing, scheduling and decision making, and realize unattended processing.
• Using a Data-Driven Approach to – Redistribute employees to run the entire production line or multiple computers for social distancing; intricately transform and plan assets without the need for workers and respond to last-minute labor shortages and maintain productivity.

Manufacturing Analytics and Workshop Digital Productivity Solutions Include:

• Remote Asset Monitoring allows in-depth understanding of operations from anywhere. Don’t rely on “on the floor”; operations leaders should use analytics to remotely manage and control employee performance, assets, and production line efficiency.
• OEE Monitoring: Use True OEE analysis to define baselines and benchmark assets, cells, and plants to reveal best practices and improvement areas.
• Customizable Data Visualization: Functions can understand the performance of machines and operators in real time according to their goals to help them self-manage productivity.
• Predictive Maintenance: The operational insights drive intelligent scheduling, reduces breakdowns and asset damage, and optimizes parts and tooling replacement processes.
• Advanced analytics, Anomaly Detection and AI-driven Alerts to understand the root cause of problems and predict operational risks.
• Asset and Line Performance Management: Operational intelligence uncovers line bottlenecks and idle times to lean processes for improved line efficiency, reduced cycle times, WIP inventory, and labor costs.
• Powerful Ticketing System: specially designed for manufacturing employees allows employees to communicate with production bottlenecks, so as to solve problems quickly and in a closed loop without face-to-face interaction.
• Workforce Performance and Productivity: Gain insight into shift efficiency and demand to balance scheduling for social distancing and remote work.
• Dynamic, Digital Work Instructions: train employees to operate assets and manual workstations without human intervention

The focus should be on taking a simple yet cost-effective approach. COVID-19 has made our tremendously inventive manufacturers think outside the box. This reshuffling of the deck will unleash many new technologies, processes, and ways to apply them to manufacturing issues.

Delivering productivity, efficiency, and quality in the new normal will require advanced analytics to solve traditional problems, optimize assets, lean processes, and shorten the path to recovery at the lowest costs. Companies that survive long term will invest in predictive analytics and manufacturing productivity tools to keep their employees safe and be responsive to the rapidly changing environment.

We possess subject matter expertise in Industry 4 solutions and services that can help companies tackle such challenges quickly, efficiently and cost-effectively. To know more about how we can engineer a solution for you, pls reach out to us today!

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Product development is core to business success. More often than not, Good Design equals Good Business when everything else is done right. One of the biggest developments in the world of technology over the past few years has been that of digital twins. A digital twin is a virtual replica of a physical system, process or product. The technology essentially provides a real-time look at how a physical asset is performing. In this article, we will be talking about how digital twin can provide a new dimension to the traditional product development phases.

Digital twins have been already adopted in manufacturing, automotive and construction industries. Organizations in these respective industries are using digital twin technology to evaluate the performance of a given physical asset, and then determine where improvements can be made to achieve better results in the future.

If you are reading this on an iPhone, your phone may most likely capture the data and send it to Apple for analysis. With every tap and swipe on billions of iPhones in the world, Apple can better understand which software components are working properly and which software is not working properly. then updates the software as per the insights. And, Apple is not the only one doing this.

What would happen if the practice of continuously capturing performance data and applying it to product development was applied to every product in the world? Well, this is the ultimate goal of the Internet of Things (IoT) and digital twins.

Tesla is another such example where digital twin has been used in product development to improve the performance of their cars. Sensors from thousands of cars continuously stream data into each car’s simulation in the factory, where Artificial Intelligence (AI) interprets and analyses the data and determines whether a car is working as intended.

Which Product Life Cycle Stage will Gain the Most ‘Value’ from Digital Twin Technology:

A recent survey by research facilities provider ‘Catapult’ included results from several engineers (from a range of disciplines) to better understand the components they believe are the most necessary for digital twin technology to function effectively. Key findings of the survey in different stages of the product life cycle were:

1. Maintenance, Repair, and Operations:

Almost all engineers believed digital twin to have the maximum impact in this stage in the product life cycle.

2. Manufacturing:

Manufacturing was believed to be the next best where digital twin would add more value.

3. Simulation:

Simulation of a model that predicts the current and future behaviour of a given physical asset will also have a positive impact because of digital twin.

4. Quality Control:

The utilization of digital twin for Quality Control testing seems highly promising.

5. Design:

Organizations have successfully used digital twin for product design during the design phase of a product/system to save POC / MVP costs.

6. Finance & Procurement:

The survey highlighted on Finance & Procurement being one of the departments in the product life cycle to benefit less from digital twins.

7. Sales & Marketing:

In addition to Finance & Procurement, Sales & Marketing was another department where the engineers believed that digital twins would have the least impact.

The conclusion on Finance & Procurement as well as Sales & Marketing was more from the as-is standpoint of the industries. Both these functions offer greater promise of delivering innovative solutions using digital twins. But, for now the organizations seem to be focused on innovating their manufacturing processes using IoT and digital twins.

With high-performance cloud computing, various goals can be optimized through generative design. Depending on the product, part, or use case, designers can use AI to optimize parts to extend service life, maintain strength, reduce weight, stay within heat transfer thresholds, or limit resistance. Designs can also be optimized for different manufacturing technologies, allowing manufacturers to create designs that can be manufactured using equipment they already own (whether it is casting, milling or extrusion equipment).

We are in an era of rapid technological development. The most important thing is the rise with digital twin product development. It has technology that can cover the entire life cycle of a physical system, process, or product; it provides companies with powerful analysis tools that can comprehensively evaluate key performance indicators and provide insights on where they can be enhanced. In the long run, the lessons and recommendations of digital twins will bring opportunities for innovation and growth.

Digital twin driven product design and development is always partly driven by analysis of existing products. With the popularity of IoT sensors, digital twins and generative design will enable manufacturers to understand the performance of their products on an unprecedented scale and automatically apply these insights to build better products, thereby accelerating the pace of innovation.

We have a patented digital twin technology and subject matter experts with digital twin expertise who can help you transform your products easily, quickly and efficiently. Contact us today to speak with our experts.

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In our earlier blog, we talked about the readiness of the enterprise for DevOps. In this blog, we will discuss on how to scale DevOps if you have already adopted it, challenges and solutions to scaling DevOps?

As a technology leader, you can use multiple tools and plans for management of data, cloud, budget, training, outsourcing, legacy systems, security, innovation. The list continues. So, why is DevOps important and how is it suitable?

DevOps aims to embrace the idea of developers and operations departments working together to produce better products. Working to scale DevOps may seem daunting, but these five steps can help you immediately build a successful DevOps culture. You will be using any number of accepted tools to achieve these goals from open source tools such as Puppet and Jenkins to public clouds such as Amazon’s AWS or Openstack hosted on Rackspace. At a startup or a small company, DevOps is defined by automation and single team success – developers own operations and the company can deliver software continuously.

Below Are a Few Common Challenges and their Solutions While Scaling DevOps:

1. Challenge – DevOps and Production Control

How does pushing a developer to production multiple times a day fare with strict production control requirements present in regulated industries? At large companies, production control and change management can take days or even weeks.

Solution – Automate production control

Work with your change management team to create an auditable automated system to track production changes. Educate your change management professionals about continuous delivery and the benefits of increasing the frequency of software development. As long as production changes can be reviewed and traced back to specific individuals, change management and production control should not object to speeding up production. Most production control teams know that the last thing they want to do is create an obstacle to speeding up execution.

2. Challenge – ‘Ownership’ of Operations?

In organizations, often we see that some teams take a very aggressive approach and own release management, performance testing, and production support while other teams are unwilling to do anything more than commit code to a source code repository. In these situations, who ‘owns’ operations at scale?

Solution – Establish common expectations for DevOps

In a small set-up like a start-up, DevOps covers all of the operations because you are working on a small system with a handful of developers. In a larger organization though, you will need to draw clear boundaries for responsibilities for infrastructure to avoid disagreements over project ownerships. If you ask teams across your enterprise to adopt DevOps practices without providing adequate resources, many of your teams may decide to resist the change. DevOps is philosophical. Always keep in mind that these team members need to feel enabled before they can skill up and innovate. Create an environment where people are comfortable trying new things and making mistakes.

3. Challenge – DevOps Decentralization and Variation

DevOps needs to be decentralized for optimum utilization. In a large set-up, while some variation might be healthy, too much variation can create challenges if different groups use incompatible technologies?

Solution – Standardize common DevOps practices

During initial ramp-up, have the teams adopt different approaches of DevOps to see which approach works and which does not for your organization. This strategy works best when teams involved in DevOps practice is small. Once you start scaling DevOps, you will want to establish a centralized practice with established ground rules for all teams. The central group could be established for this which is responsible for ensuring compliance and helping teams guide towards commonly accepted toolsets.

4. Challenge – Central Budgeting vs Self-service Deployments

Developers are no longer willing to wait for the operations team to provide hardware, they want to access self-service APIs to provide cloud instances, and they require the ability to provide systems dynamically. How does this work when the budget is fixed and only updated once a year?

Solution – Build in Space for DevOps and Model Cloud Infrastructure Costs

In a small company, public cloud charges are often classified as OpEx. In a large company, you have to allocate budgets during your quarterly / annual budgeting. If you own servers (which many large organizations still do), you have further limitations with respect to their usage and availability for additional requirements. When you practice DevOps at scale, it is essential to build a sufficient capacity to create & destroy environments for automated testing and dynamic scaling. You need to stand up and forecast environment demand and plan accordingly.

5. Challenge – Is It Even Possible to Practice DevOps at Scale?

If you are advocating for DevOps in a large enterprise, you will often come across people who will tell you that DevOps is impractical at scale. That is partially because more people are involved in meetings, project plans, unexpected delays, hierarchies and more.

Solution – Ignore the noise.

A few common sources of pushback for DevOps at scale is professionals viewing change in negative limelight or simply as ‘additional’ work. Most ops professionals understand the benefits of DevOps and value their interaction with developers, but a few see DevOps as a threat to operations.

DevOps is a Journey:

If you try to start by creating a long list of deployments, your team will feel overwhelmed. Expand DevOps step by step. Give your team the space needed to truly innovate and learn from their mistakes. Get feedback after deployment and fix bugs as quickly as possible and always focus on delivery. Follow the steps below and you will make the team operate in an organization that knows DevOps.
Contact us if you are ready to do more with DevOps. Get the strategies and tactics you need by interacting with our DevOps experts today.

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