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The Internet of Things (IoT) – the embedding of physical devices with sensors, network connectivity, and other components so they can collect and exchange data – is often presented as a revolution, but it is actually an evolution of technologies developed more than two decades ago. During the last decade, sensor costs declined twofold, bandwidth costs have fallen and processing costs have also dropped drastically. The plummeting costs of sensing technologies, enhanced edge computing solutions and cloud computing power, advances in data connectivity in the cloud, and M2M communication are combining to drive the convergence of previously separate production technologies – Information Technology (IT), Operations Technology (OT) and Automation Technology (AT) – to create the future of production, expanded from the factory floor to connected assets, products, services, and supply chains – combined together under Industry 4.0 through the Industrial Internet of Things (IIoT). 

Information Handling Services (IHS) predicts that by 2025, the number of these devices will be 17 billion from today. Direct opportunities for manufacturers lie in intelligent enterprise control, real-time asset performance management, and intelligent interconnected products and services. Cybersecurity and interoperability challenges prevent manufacturers from adopting IoT on the factory floor and supply chain, and 85% of assets are predicted to have to remain unconnected.

The figure below illustrates how this process has been carried out for decades and is now accelerating due to the rapid development of capabilities. The IoT platform is still evolving, and there is no clear winner in this field as of now. Rival technology companies that create competitive platforms are targeting many industrial sectors. Proponents of IoT emphasized its potential to innovate production, not only by changing workshop operations, but also by achieving end-to-end real-time visibility throughout the supply chain, all the way to the end-user, and developing new products and services for customers. By 2023, investment in IoT production is expected to quadruple from US$35 billion to US$140 billion, with three key functions driving the investment: asset tracking, condition-based maintenance, and robotics processing. North American market will lead the adoption of today’s IoT with the Asia Pacific market not much behind.

IoT has three different uses in today’s production systems:

Intelligent Enterprise Control

IoT technology enables smart connected machines and smart connected manufacturing assets to be tightly integrated with a wider range of enterprises. This promotes more flexible, more efficient, and thus profitable production. Intelligent enterprise management and control can be regarded as a medium to the long-term trend. Implementation is very complicated, and new standards need to be created to achieve the integration of IT and OT systems efficiently and effectively.

Enhanced Operators

Future employees will use mobile devices, data analysis, augmented, virtual or mixed reality, and transparent connections to increase productivity. With the rapid increase in the number of baby boomers retiring and fewer skilled workers left for core businesses, young replacement factory workers will need information at their fingertips. This will be provided in a real-time format that they are familiar with. Therefore, the factory will evolve to be more user-centric rather than machine-centric.

Asset Performance Management

The deployment of cost-effective wireless sensors, easy cloud connectivity, and data analysis can improve asset performance. These tools allow data to be easily collected from the field and converted into actionable information in real-time. The expected result will be a better business decision and a forward-looking decision-making process.

IoT is not just a collection of technologies added to the current automation system. This is also a concept that requires a radical change in the way of thinking. Its potential lies in the ability to link automation systems with enterprise planning, scheduling, and product life cycle systems. IoT is at the core of a powerful technological revolution. In fact, the maturity of IoT is faster than expected, which indicates that a wider implementation is coming. The absolute availability of real-time information throughout the production value chain will redefine the way companies produce goods, provide services, and conduct business.

Obstacles to Further Adoption

The application of IoT is still in its infancy and has not taken place widely anywhere in the world even with the pandemic. Currently, 85% of potential assets are still unconnected, and governments and industrial IoT companies need to overcome several obstacles to be widely adopted, the most notable being the establishment of industry standards around IoT and cybersecurity protection. Standards are needed to allow intelligently connected products, machines, and assets to interact in a transparent manner. This goes beyond simple communication protocols and involves the creation of standard semantics and mechanisms that allow smart devices to discover and interoperate with each other. Security needs to be built in the industrial control system and designed into the components that make up the automation system, rather than being added later. The adoption of certified industrial security standards is critical to IoT product development, because it can not only ensure the safety of individual assets but also ensure the safety of larger systems as well as systems of systems. The government will also face new challenges. The ubiquitous deployment of IoT and the sunk costs of infrastructure that inevitably accompany it, may create barriers to entry and widen the gap between the rich and the poor. Monopolies may emerge, especially in the commodity industry, and the regulation of distributed production may be very complicated and difficult to regulate.

Looking ahead, the rise of artificial intelligence-as-a-service platforms with low barriers to entry will enable companies to expand cognitive solutions and reshape industry dynamics in a zero marginal cost environment. IoT represents the next step in the digitization of our society and economy, in which objects and people are connected to each other through a communication network and report the state of their surrounding environment.

Simply put, almost everything will be connected and soon by expert IoT solution providers! What impact will this have on your business? At a basic level, connecting items in the office means that they can be ordered automatically when the supply is low, or your watch can pinpoint your time and location with the highest efficiency. Data and metrics mean improved efficiency and productivity, and automating trivial tasks means that valuable time can be spent on important projects. Have you started to look at the bigger picture? Not just for your components and assets but also your processes? Are you open to digitizing and automating your core processes and hop on the IoT bandwagon? Get in touch with the leading digital product development company to know more on how we can transform your business and processes.

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Due to the pandemic, organizations of all sizes have had no choice but to accelerate their digital transformation journey. They urgently need new tools, functions, and services to adapt to the new normal. SaaS vendors and emerging ISVs that can meet these needs are now grabbing market share.

ISVs are developing rapidly, adopting Software as a Service (SaaS) as their core product strategy, and continuously expanding their scale to meet market demand. This requires them to fundamentally change their value chain to smoothly transition to the SaaS model.

The software field has undergone a fundamental change from one-time license pricing to overdue deferred expenditures. 

Therefore, the global SaaS market valued at USD 23.88 billion in 2014 is expected to reach USD 164.29 billion by 2022. With the increasing popularity of SaaS products in the fields of customer relationship management, human resource management, and service management, traditional ISVs need to reshape and transform themselves to develop and deliver software as single-point solutions and services instead of traditional packaged products.

Exponential Innovation 

Let us be clear: even before the pandemic, the software field was a hotbed of innovation. Hyper-vertical software providers have done an excellent job of creating business applications that directly meet business needs, which seemed to be changing so frequently so often. However, as the pandemic’s control over the world has increased, the way people work and collaborate has changed almost overnight. Fortunately, the cloud provides exactly what we have all been talking about: elasticity, on-demand, and easy accessibility.

In fact, according to Gartner’s data, the entire cloud market is expected to grow from US$257.867 billion in 2020 to US$306.948 in 2021, and US$36,4062 in 2022!

In this growth process, due to the continued shift from locally licensed software to subscription-based SaaS, and of course the impact of the pandemic has forced companies to adopt new software collaboration tools in which SaaS remains the largest market segment. In order to keep up with market demand and ensure sustainable growth, SaaS and ISV providers need to do more than just provide a flexible, pay-as-you-go consumption model.

Redesigning the Value Chain of SaaS Companies

Transformation to the next generation of SaaS comes with its own challenges. A few key challenges are: The first challenge is the competition from SaaS companies in the new era. These companies have no legacy products, and are more agile, and respond faster to market demands. Secondly, due to the lack of scale and talents for new custom software product development, the increasing demand for SaaS products poses challenges. In addition, supporting IT systems have not fully adapted to rapid growth. Third, ISVs’ existing technology and IT system equipment are insufficient to extract insights about customer retention. 

To ensure a seamless transition to the SaaS model, companies need to transform their traditional value chain and reposition software product development, business operations, revenue recognition, finance, sales, marketing, product services, and support. The five key steps in the transformation process are:

• • Prepare for ongoing customer relationships, not one-time sales
  • Prepare for changes in revenue recognition and cash flow by adjusting the financial system and overall financial management practices
  • “SaaSify” products and pivot product strategies by hosting products in the cloud, re-architecting SaaS, and building products from scratch
  • Make IT more versatile by changing the IT systems that run the business (including customer management, metering, billing, and revenue recognition)
  • Handling complexity through self-configuration, ongoing support, and customer intelligence to facilitate seamless onboarding

The Need to Adapt to a New Era of Hyper-Customization/Personalization

ISVs and as-a-service companies are facing a set of challenges of their own. Their customers have higher expectations and higher demands. In all industries, users expect software to make their lives easier, do their jobs better, and help them perform daily tasks more effectively. They want these experiences to be effortless and frictionless. Often, ISVs and as-a-service companies can rely on Managed Service Providers to manage their products & enhance customer experience.

SaaS and ISV vendors must be able to meet these expectations and provide simplified, customer-friendly products and experiences. But let’s be honest: the customer experience of many SaaS vendors is still quite disconnected. In addition, providing these experiences while satisfying customers’ desires for new products and updates is not as simple as it seems.

In Conclusion

It is not uncommon to encounter some resistance to the idea of migrating to a newer and better platform. COVID-19 continues to be like a tornado, pushing business transformation into the air—we are no longer in the dark. Suppliers can work hard to keep up with demand for the next five years and operate, just keep it as it is. Or, they can take a closer look at their SDLC and the broader process, and ask where they can optimize.

More and more SaaS applications have created huge growth opportunities for product companies. As companies move to a SaaS model, they need to transform their value chain, which requires changes in their products and IT strategy. The fierce competition in the SaaS market has put tremendous pressure on product companies to launch products using the SaaS support model. The SaaS-based subscription model provides opportunities such as anytime, anywhere availability, shorter implementation cycles, higher agility, and competitiveness. If you too are looking for custom software, kindly reach out to us today to collaborate, co-create, and co-innovate digital solutions for you.

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Why Your Business Needs an Extended Development Team? 

If you are a technology-based organization, then you know the importance of having a comprehensive development team to build innovative and state-of-the-art products and solutions for your business. As companies, especially Western companies, face a serious shortage of talents due to the pandemic and the advent of digitalization, more and more companies are attracted by the concept of establishing extended development teams elsewhere. Not only can you fill in the key missing skillsets in your core development team, you can also increase project’s overall productivity and make it go seamlessly. However, if you expand your team with inconsistent expectations and inadequate plans, especially in another country, it may disrupt your entire offshoring process.

When Do You Need an Extended Software Development Team? 

There are some basic situations when you should set up an extended technology team. When your core team is working on an important project, you don’t want more experienced experts to perform less important secondary tasks, thereby reducing overall work efficiency and productivity. To do this, you can more easily hire a small extended software development team that can install these patches and do all the work you need. If you also realize that the skills of your core team are not sufficient to perform a specific task, and there is a certain gap in skills that cannot fill anything else. For this reason, you can only find professionals with a combination of skills that can make up for the shortage and help you successfully complete the project.

Another scenario when you could set up an extended team is when your company has grown and needs to expand, but you are not in a hurry to recruit new people for your core team. You can check at any time whether the company is ready to accept new tasks and increase the flow of customers, issues, and workflows. The enlarged team will be able to take on part of the tasks, thereby increasing the possible burden on other experts and management. In a situation when your existing customer orders the development of a large project from you, and your entire core team is occupied with other equally important things, it is better to expand the responsibilities of the extended team, rather than reject ordinary customers and risk losing experience, revenue, reputation, and the customer himself. Setting up an extended team is easier said than done though. In today’s blog post, we bring to you some common mistakes that companies make, as well as how to avoid them. Steering clear of these mistakes will ensure that you have the best partnership with your offshore provider and your extended development team.

Common Mistakes to Avoid 

#1: Do Not Fixate on Short Term Benefits 

If you want to augment your existing core development team, it’s important to look beyond a temporary arrangement that can work for a one-off project. Building an extended team is a permanent solution, and the engineers that you hire become permanent employees of your business that are in it for the long haul. These resources could be utilized on multiple projects and since you have control over them, you can utilize their skillsets effectively across projects.

Prioritize on building an extended technology team for long term: minimum 9 – 12 months. Your extended development team is yours, in every sense of the word. They work for you, they believe in the vision of your business, and their goal is simple – to help you grow your business by building software.

#2: Value Over Cost 

Many businesses, when given a choice, will choose the less expensive result. Not surprisingly, this is usually the wrong choice because lower rates doesn’t always mean getting the better end of the bargain. Even outsourcing, for instance, offers services at very low prices, but we just saw how that could spell disaster for your business. Keep the price aside for a moment, and focus on asking them the bigger question – what value can they bring to the table? Assess their portfolios, their expertise, and how the higher costs can translate to higher productivity and success rate. If the facts and figures laid out don’t speak for themselves, then you’re better off not making that deal.

Indeed, regardless of the type of business, the bottom line as a determinant of any business proposition is: how much will it cost? Although cost is a glass ceiling that can never be broken, paying too much attention to price may mean that you have not considered the value proposition of the transaction. Many companies will choose a less expensive option to save more costs. Not surprisingly, this is usually the wrong choice, because lower interest rates do not always mean bargaining. While setting up an extended team, focus on the value that you wish to obtain from the engagement. Have a strategic objective behind setting up a remote team. Evaluate the vendor’s investment portfolio, their expertise, and how a slightly better rates translate into higher productivity and success rates. The cost of cheap hiring is devastating and more harmful in the long run. Not hiring than cheap hiring is a better option in such cases.

#3: Bias Towards Extended Technology Teams 

When you have an extended development team, it is important to remember that they are part of your organization just like your local team. The only real difference here is that they are sitting elsewhere, in different office spaces. Depriving remote teams of important business knowledge, keeping them away from team calls, or preventing them from expressing opinions or feedback may cause them to feel isolated, not valued, and not recognized. In addition to this, your extended team will no longer have a 360-degree view of the business, the project at hand, and the larger business goals, which will result in unoptimized software solutions. This in turn affects their morale and motivation, and hinders productivity.

#4: Lack of Clear Roadmap 

An integral part of working with offshore vendors and establishing remote teams is planning. Before you work with an offshore development company, you must develop a clear roadmap-a set of actionable steps for the near future. Diving into collaboration and quickly building requirements will lead to chaos and chaos, rather than increase in productivity.

Although immediate build requirements may be attractive, you still need to ensure that your remote team has enough work for at least the next one or two development cycles. Identify a roadmap for one or more of your internal products and gauge the skillsets required for execution of these projects. If the technology stack overlap with each other and you have product roadmap defined for at least two or more development cycles, releases, than setting up a dedicated technology team is your best option.

Build a Dedicated Extended Technology Team with Pratiti Technologies

Pratiti Technologies can help you set up an extended remote technology team without loss of efficiency in your work processes. At Pratiti, we ensure an agile mentality by building a team of resources around our unique craftsmanship model. We believe that authorized and self-organizing craftsmen have the greatest chance of success in new and innovative fields. Pratiti’s business model is based on our craftsmen, and we are proud to have a highly skilled technical team at our disposal which you can leverage towards your product development, testing and automation needs.

Our craftsmen have product development DNA, collaboration mindset for innovations, and exposure to different execution frameworks. If you are looking to set up a dedicated technology team of software developers, QA automation and testers, DevOps skillsets, contact us today. We collaborate with our customers and partners under flexible engagement models and strive to make customer’s success as our success.

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Not every start-up and not every founder team that conceives technical product ideas has a technical background. If you are one of them, what should you do-build a team internally or switch to outsourcing product development?
A non-technical founder always has the below four choices while validating their product ideas:

• Look for technical co-founders (similar to finding a lifelong partner)
• Hire an internal technical team (longer learning curve and high investment)
• Outsourcing product development (the first choice of many non-technical founders in the MVP stage)
• Learn to write your own code (it may take years to become a full-stack developer)

Each of these options has its advantages and disadvantages, you can choose according to the stage your start-up is in. Multi-billion dollar start-ups like Skype, Slack as well as highly successful start-ups like Fab, Klout, AppSumo, GitHub, Basecamp, Opera, to name a few had all outsourced their product development in their nascent years. 

Being a custom software development company that’s worked with several funded and bootstrapped start-ups, we strongly feel outsourcing your product development is a viable option for building the first version of your product.

Why is Outsourcing Vital for Start-up Product Development? 

The world is surviving and will survive COVID-19, but companies will continue to face the consequences of the pandemic and will need to adopt, adapt, and evolve to survive this crisis. How can young and growing start-ups sustain from technology standpoint during the epidemic? How to develop a strategy around your software development? Lets hear from a few recent successful start-ups and what their Cofounders had to say about their strategy:

Outsource Your MVP Early

“Outsourcing development has time and place. When the design, interaction and requirements of the product are highly clear, outsourcing the development team is most effective. Compared with in-house developers, talent is usually cheaper and more flexible, and can be scaled up or down quickly”, says Andrea Barrett, Co-founder and Vice President of Product, UrbanSitter.

Strictly Define Your Product to the Outsourcing Team

“If you can outline your product specifications and ensure that you oversee development operations, then outsourcing the first version of your product can definitely pay off”, says Bram Kanstein, Co-founder of We are off the record.

Now that we have established outsourcing could be a strategic business decision in your start-up journey, let us look at a few tactical questions to ask before outsourcing.

Questions to Answer for Effective Start-up Product Development ‘Outsourcing’

To make outsourcing an effective process for your company’s product development, several steps are required. As long as you get the answers to these questions, you will eventually hire a highly reliable and trustworthy team for your business

1. What is the Scope, Size, and Complexity of the Project?

The key is to make outsourcing an effective process for product development. First, the company needs to define the scope of the project. What do you want to achieve with this project? It takes effort to translate the idea into the entire setup. In addition, it is also important to define which technologies and tools are suitable for the project process. Your project cannot rely solely on any technology; only after proper planning and analysis can you truly determine the technology stack for product development.

Defining the scope of the project is crucial. Once you have a clear project goal, you can more easily communicate it to the outsourcing team. When the outsourcing team clearly understands the scope of the project, they can easily achieve the expected results and milestones. In addition, setting clear guidelines at the beginning of the project will only avoid any obstacles in the development process. You can even build a better relationship with the outsourcing team. Therefore, to clarify the scope of the project, you first need to understand it yourself.

2. Do You have the Right Team Identified with Required Skillsets?

The next step is to invest in the right outsourcing team. If this is not done correctly, your development process will not be so effective. When you understand your project, the outsourcing team will be more effective. In addition, you even need to let the hired outsourcing team understand your business goals and ensure a business level and cultural alignment.

Appointing an outsourcing team means that the team can be hired flexibly according to business goals. In addition, when you outsource a team for product development, it is recommended to plan and interview multiple teams before finalizing a team. You can’t just go to one team at a time. It takes time and energy to choose a team based on how well the team meets your business needs. Conduct interviews with different teams, analyze which team suits your business needs, and then select the best team with basic expertise, knowledge and skills.

3. Is there a well-established and Transparent Communication Channel?

Another important factor to consider when hiring a team for your product development process is “clear communication.” First, clearly and concisely state the goals, priorities, and expectations of the business. Then, make sure you invest time in building a good relationship with the outsourcing team. This is possible when you communicate clearly with the outsourcing team. 

The progress of the outsourcing team should be discussed regularly. You should not only mention how effective their work is, but also what can be improved.. In addition, clear communication can even help achieve the desired results. Therefore, it is recommended to invest as much time as necessary to hire one of the best outsourcing teams for your product development process. When hiring a team for product development, continuous communication is required to successfully complete the process.

4 .Do You Know When to Choose outsourcing?

As a start-up company, you must know when to choose outsourcing. For this, you must have a real product idea. Turn this idea into a suitable business, and then make a suitable plan to make a profit from it. A certain roadmap must be followed to establish a reliable business in this market. Therefore, when doing product development, you must know when to switch to outsourcing. You must know when you really need to hire a team for your business.

The following are when you should choose to outsource to support your start-up product development:

• Need to translate your ideas into actual business
• Your company is looking for scalability
• Improve return on investment and profits
• Need more skillsets in your team
• Cost savings

Therefore, when your company needs to outsource a start-up product development team, these may be the basic reasons. When you know how to choose outsourcing, you have a high chance of bringing success to your business. Therefore, be smart enough when you need to “outsource” in order to properly use your advantages.

What to Consider When Outsourcing Start-up Product Development?

Certain factors need to be considered when outsourcing product development. Before choosing “outsourcing”, you must understand the following.

• The technical details involved-what skillsets, tools and techniques are needed to complete your project? Does your outsourcing team understand the technical details of your project? Well, if they don’t, they may not be suitable for your business. Alternatively, the outsourcing team should be familiar with the latest technologies and tools to provide the best results.
• Complexity of the project-how complex is the product you want to show on the market? What is the size and actual scope of work? It is important to understand what expertise your project requires. You must understand the types, requirements, and functions of the products that are critical to the project. After you fully understand your project, you must outsource your product development.
• The costs involved-please consider the costs involved in the entire outsourcing process, as this will affect your overall budget. The costs involved must be properly analyzed in advance so that there will be no shortage of funds when needed in the subsequent process. Check the flexibility of the engagements models of the outsourcing partner and if their models align with your business strategy. Fixed price, Time & Materials, Offshore Delivery Centres are a few of the models start-ups can consider while outsourcing.

Conclusion

When companies define their expectations and reduce risk, outsourcing product development to reliable technology partners like Pratiti Technologies can allow startups to compete with competitors that are making waves in the market. However, it is very important to find an outsourced software product development company to balance quality and cost while ensuring that you maintain the confidentiality, security, and control of the project.

The global knowledge passed on to offshore development centers can help your company become better in order to compete in the international market. The main reason that offshore product development has become a popular choice is that it allows companies to survive temporary difficult times. In addition, it saves money and is not a once-and-for-all option. If you plan to develop profit quickly without compromising on its quality, outsourcing is the best way. But this method will only work if you work with the right startup development company. Are you ready to outsource product development? Contact us now and get a free consultation.

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The global pandemic has undoubtedly accelerated Independent Software Vendors’ (ISVs) rapid start of their digital transformation journey. Digitalization is rapidly changing the way companies create value and compete in today’s world. Although many ISVs are becoming potential partners for digital transformation themselves, they should also look at vendors that put customer experience first. As companies adopt artificial intelligence (AI), cloud and edge computing, the Internet of Things (IoT), and other software-driven tools, experience assurance has become a driving force for digital transformation. To achieve growth in this environment, ISVs are increasingly going beyond quick fix programs to take advantage of multiple value creation levers and take advantage of digital transformation opportunities. More and more ISVs are now paying more and more attention to accelerating product modernization and promoting continuous innovation through the influx of skilled engineering talent.

It is important that the ISVs stay ahead of industry trends that may create opportunities and drive major disruptions during the digital business transformation phase. Like many other industries, cloud has significantly changed the ISVs landscape as well. Recently, building and scaling applications on a secure cloud has become increasingly important for customer retention and acquisition. However, modern application development and migration to the cloud present some challenges. ISVs must transform their entire business model into a software-as-a-service (SaaS) delivery model, which means they need to switch from traditional delivery packaged software to a subscription-based model that requires frequent releases rather than annual upgrades. This is all easier said than done.

Today, a small failure in the customer experience can cause huge losses to the enterprise, leading to business losses. By addressing performance, security, reliability, and speed challenges, quality assurance & testing plays a key role in ensuring that customers and end users enjoy the superior experience they expect. When starting digital transformation, people expect ISVs to use the best quality and assurance practices to help companies enable devices, applications, web, and mobile platforms to interact smoothly in their environment. The quality assurance & testing services being implemented should include security aspects, interoperability, performance, and network capabilities, and go beyond functional validation of the SMAC (social, mobile, analytics, and cloud) stack.

According to Gartner’s latest research- “88% of service leaders say their current quality assurance processes are ineffective and rarely match customers’ perceptions of quality, and 91% of organizations participate in some form of digital initiatives.”

Digital Quality Assurance Framework

In the process of digital transformation, ISVs should ensure that every software they develop passes through the appropriate quality assurance framework channels. It is imperative to measure progress and the commercial value it creates. Creating an efficient digital quality assurance framework requires organizations to have access to established processes, checklists, test assets, and proven methods to effectively verify all resource files on all connected devices. The digital quality assurance framework should consist of the below components:

• Digital Ecosystem: Cloud, mobility, big data and quality assurance of connected devices.
• Advanced Analysis: Use advanced and defect analysis to define assurance strategies.
• Digital Tools: Internal tools for test data, data visualization, automation, performance and security.
• Digital Accelerators: Accelerators on IoT, cloud, analytics that help in taking the solution faster to market and reduces development time.

Quality assurance & testing services enable ISVs to test their software across multiple devices, channels, platforms, and their internal layers. These services use analytics to define test methods and have built-in performance, security, and usability parameters. Benefits for businesses are:

• Making the application future-proof: To ensure the performance, scalability, resiliency and security of all applications.
• Faster time to market: Helps in accelerating time to market.
• Lesser defects higher stability: By testing aggressively and deploying industry best processes across test cycles, defects can be found early.
• Application performance: Checking server-side and front-end performance issues improves application’s performance.
• Reliability: Use dependency solutions to check for any security vulnerabilities to ensure reliability and availability.

Tech enterprises and ISVs around the world are rapidly adopting quality assurance & automation testing to help improve operational processes and customer experience. A strong digital quality assurance framework will take into account all aspects of digital transformation and is essential to the success of any digital plan.

Pratiti Technologies’ quality assurance & automation testing services can help ISVs take advantage of the latest industry trends. We automate complete business process testing and can also enable you to use the test scripts to test applications on mobile and web devices. Our quality assurance team can test software components when they are built using different testing frameworks. We provide custom software solution development services for web and mobile development, and business-centric innovations and new product development as well as product support services. If you have any questions, please contact us to learn more about your choices.

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Today, no matter where we go, we can see companies from all walks of life are striving to modernize their data foundations. The first preference for modernization is the cloud. The first step in any transformation journey is to understand the data you have. According to Gartner, “By 2022, 90% of corporate strategies will clearly mention data as a key corporate asset, and analysis as an essential capability.”

But before you can get value from the data, you must first find it and understand it. The single most important challenge of becoming a data-driven company is generating more data than ever before. At the same time, these data are scattered in more complex environments, including local, multi-cloud, and hybrid environments. Your data may exist in any number of places like your data center, SaaS application, cloud data lake or a local / on-premises data warehouse. It is important to get the answers to questions like ‘Where is all your data? How do you find it, organize it, and accelerate the speed to value?’. Only when you have answers, you can accelerate any data-driven plan, no matter whether you are looking to:

• Deliver trusted and regulated data and comply with data-centric regulations,
• Gain a holistic view of key data,
• Accelerate time to insights with next-generation analytics,
• Modernize the infrastructure by moving data sets to the cloud

Why The Cloud Makes Data More Valuable?

Today, data is everywhere. It comes from humans, machines, IoT devices, edge systems-whether on earth or in space. All the data gets piled up. Presently, we generate an astonishing 2.5 terabytes of data every day. But unless it is accessible and widely applicable, all this data is worthless. The challenge is not only to process the huge amount and variety of data from many different sources, but also to realize its full value and make the data worthwhile. This can only be achieved with a truly modern data foundation on the cloud. The cloud is the only place where data has the necessary scale and agility to be accessible, applicable, and ultimately become more valuable.

The cloud-based architecture and platform enable all types of data to be concentrated in one place as a powerful collective resource for the entire enterprise. On the cloud, you can ingest large amounts of data in real time, let all the data work together seamlessly, and then use analytics, artificial intelligence, and automation to adjust the data to suit various use cases. Artificial intelligence-driven data catalogs can help enterprises and IT users easily discover, manage, and popularize trusted data on a large scale easily and efficiently.

Discover the Data You Have

Since data exists in various places (from local data warehouses to cloud applications), gaining visibility into all data is a challenge. To do this at an enterprise scale, you need to:

• Use advanced Machine Learning algorithms to automate across hybrid and multi-cloud environments,
• Use simple business terms that can be easily extended to analytics tools and other application environments for smart data searches,
• Use Artificial Intelligence-driven data set association and linking, and automatic recommendation of data sets based on metadata such as domains, entities, source systems, and usage statistics.

Know and Understand Your Data at Scale

When you understand its context, the data becomes valuable. When you apply business context to data, you make it easier to use, manage and make sense out of it. Smart data catalogs can achieve this at scale with the following features:

• Automatic domain discovery and classification to automatically identify domains and entities and use this information to tag data,
• Ability to automatically associate business glossary terms with physical data sets to save thousands of hours of manual work for data administrators,
• Collaboration to further enrich data and maximize the use of shared data knowledge,
• The ability to understand data quality through data profiling and track how data quality changes as data flows through the enterprise.

What is a Modern Data Foundation Made Up of Then?

·      Setting Up the Stage

It first asks and answers the following questions: What data do you need and in what form to run and grow your business? This is an important first step in understanding the baseline capabilities required by the data foundation to deliver the desired business results. Then, you need to choose the right cloud service provider that can provide these features based on your current and future goals. Since not all aspects of a modern data foundation on the cloud can be developed at the same time, you need to create a roadmap of which features can be developed immediately and which features can be introduced over time. Focus on MVP approach and try to derive greater value in the future.

·        Take Action (Migration and Modernization)

It is almost always recommended to build automation and configuration tools for data ingestion and management to accelerate the conversion of data to the cloud. AI/ML technology can be used to deal with data engineering and data management challenges. It is very important to build data catalogs and self-service functions to democratize data and make data “citizens” more widely available.

·      Operational Optimization

Managing a modern cloud-based data foundation requires extensive standardization and automation. And for the cloud, continuous optimization is also necessary. In addition, if you want to make full use of data as a valuable asset throughout the enterprise, ensuring data quality and credibility is crucial. As long as your security team has the skills and tools specific to your cloud platform, the cloud can be more secure than a proprietary data center.

By providing visibility into all enterprise data, as well as the ability to collaboratively organize and enrich data, intelligent data catalogs provide a critical first step for data-driven digital transformation. In addition, data catalogs can lead to widespread changes in the way companies handle data:

• Change the culture and behavior of the entire organization – to achieve cross-functional collaboration around data,
• Democratize data through self-service analysis – enable more people to use the power of data, and spend less time searching for relevant data,
• Increase trust and confidence in data – by providing transparency in data sources and quality,
• Increase productivity and efficiency – by modernizing data infrastructure, eliminating duplicate data and simplifying processes

Let’s talk about how we as one of the leading cloud computing services providers can help you accelerate your data foundation transformation to grow, innovate, and generate sustainable value for your business. If you are looking for an expert cloud computing services companies and need help in strategizing and implementing your digital transformation initiatives, Let us connect.

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Edge Computing Services  | Offshore Software Product Development | Innovations Services | Digital Product Company

If we were to look back at the way our industries and manufacturing processes have transformed over the course of the last three industrial revolutions, we’d be amazed at how far we’ve come. The third industrial revolution arrived in the last decades of the 20th century, in 1969 to be precise. And just in about 50 years, we are at the onset of what is known as the fourth industrial revolution or Industry 4.0.

As we gear up and fine-tune the nuances of Industry 4.0, we come across technologies that are nothing short of revolutionary – bringing unmatched precision to the way manufacturing happens and the way we perceive the industrial sector as a whole.

Also Read: Here is What Digital Transformation Means to These Industries

In this article, we will discuss the technologies and trends of Industry 4.0 that are rapidly revamping manufacturing. But let’s begin with the basics…

What is Industry 4.0?

Industry 4.0 is the term coined for the fourth industrial revolution that encompasses the tech, such as interconnectivity, automation, real-time data analysis, and machine learning. Industry 4.0 minimizes the need for human intervention in factories and manufacturing units, duly replacing them with digital technologies to obtain the desired outcomes with more precision and at a faster pace. Needless to say, Industry 4.0 relies heavily on computers and data for decision-making as well as production.

The conventional market has mixed opinions about Industry 4.0, some experts going to the extreme of calling it simply a ‘buzzword’. But look around the way industries operate today, and you’ll know that industry 4.0 has already arrived, and we are deep-seated into it, so much so that we might have to brace ourselves for an Industry 5.0!

But what makes Industry 4.0 gain the blitz? Let us have a look –

Technologies That Power Industry 4.0 Trends

·        Data Analytics

“Data is fueling the growth of Industry 4.0” – Andy Rowland, Head of Digital Manufacturing, BT

Data breathes life into modern technologies, and it is imperative to have real-time data to be fed into these technologies – right from Artificial intelligence to Augmented Reality. Data analytics helps in organizing and managing the data and making it actionable and ready for actual use. In Industry 4.0, data analytics is what fuel is to vehicles and is critical at every stage – from ideation to prototyping, from actual manufacturing/production to maintenance. Data analytics helps drive innovation and strike the harmony within several ecosystems that make Industry 4.0.

And not just that, data analytics immensely helps in resource allocation, optimization, asset planning, and utilization. Industry 4.0 is essentially about collecting data from various sources, pooling it together in the data lake, and then using it to drive modern tech.

·        Artificial Intelligence and Machine Learning

AI revolutionizes the traditional supply chain and helps in driving improved asset management, supply chain, and inventory management, offering better visibility into the supply chain processes, inventory and logistics. Adoption of machine learning, using the data fed by analytics, helps in achieving predictive maintenance in manufacturing, which helps to in turn reduce downtimes as well as maintenance costs.

Further, the combination of AI and ML aids in achieving Predicting Remaining Useful Life (RUL) of machines, equipment, and systems. This helps in tracking their behaviour in operation, improving performance, and predicting the downtimes to optimize the overall operations.

·        Internet of Things (IoT)

According to Gartner, by 2020, 30% of our interactions with technology will be through “conversations” with smart machines.

The IoT or Internet of things is so critical to Industry 4.0 that it is often used interchangeably and is also combined to be known as IIoT. Industry 4.0 makes wide use of the Internet of things, or even Intranet of things such as robots, sensors, and simulation tools that together contribute to the creation of a smart factory. In a smart factory, several entities such as the machines, systems, as well as the humans communicate and coordinate seamlessly to coordinate and track the production progress along the assembly line.

IoT brings about the change with centralized controls and optimized processes, training, and maintenance with the help of digital twins. Digital twin eliminates the need for working on physical devices or systems to troubleshoot errors but instead creates a replica of the device or system digitally to provide insightful training to support maintenance.

·        Augmented Reality and Virtual Reality

Augmented and Virtual Reality help in transforming the way data and information are accessed, used and processed, to begin with. AR and VR help in offering training and support to the on-floor factory workers. This significantly contributes to minimizing errors, speeding up operations, and improving overall efficiency.

AR helps in the design process by helping create a targeted user experience by overlaying virtual information in the real world. The technicians can observe the machines and systems without actually handing the device, receive first-hand information on possible inefficiencies and errors that the systems can run into, study its impact, and come up with solutions.

·        Cloud Computing

As Paul Maritz, the CEO of VMware, famously quoted, “Cloud is about how you do computing, not where you do computing.” Cloud Computing facilities every other data-dependent technology by making relevant data promptly available for use, irrespective of the location. With cloud computing, storage, access, and management of data across several locations become easy. Cloud environment facilitates data collaboration and exchange, which helps in effectively driving all the processes- right from supply chain to maintenance.

What this means for Industry 4.0 is that while data analytics-driven AI, ML, and IoT are necessary, the cloud is imperative for a ‘factory’ to transition to a ‘smart factory’.

Our Services

Offshore Software Product Development | Digital Twin Software Platforms | Outsourced Software Product Development Services | Digital Product Development

If we were to look back at the way our industries and manufacturing processes have transformed over the course of the last three industrial revolutions, we’d be amazed at how far we’ve come. The third industrial revolution arrived in the last decades of the 20th century, in 1969 to be precise. And just in about 50 years, we are at the onset of what is known as the fourth industrial revolution or Industry 4.0.

As we gear up and fine-tune the nuances of Industry 4.0, we come across technologies that are nothing short of revolutionary – bringing unmatched precision to the way manufacturing happens and the way we perceive the industrial sector as a whole.

Also Read: Here is What Digital Transformation Means to These Industries

In this article, we will discuss the technologies and trends of Industry 4.0 that are rapidly revamping manufacturing. But let’s begin with the basics…

What is Industry 4.0?

Industry 4.0 is the term coined for the fourth industrial revolution that encompasses the tech, such as interconnectivity, automation, real-time data analysis, and machine learning. Industry 4.0 minimizes the need for human intervention in factories and manufacturing units, duly replacing them with digital technologies to obtain the desired outcomes with more precision and at a faster pace. Needless to say, Industry 4.0 relies heavily on computers and data for decision-making as well as production.

The conventional market has mixed opinions about Industry 4.0, some experts going to the extreme of calling it simply a ‘buzzword’. But look around the way industries operate today, and you’ll know that industry 4.0 has already arrived, and we are deep-seated into it, so much so that we might have to brace ourselves for an Industry 5.0!

But what makes Industry 4.0 gain the blitz? Let us have a look –

Technologies That Power Industry 4.0 Trends

·        Data Analytics

“Data is fueling the growth of Industry 4.0” – Andy Rowland, Head of Digital Manufacturing, BT

Data breathes life into modern technologies, and it is imperative to have real-time data to be fed into these technologies – right from Artificial intelligence to Augmented Reality. Data analytics helps in organizing and managing the data and making it actionable and ready for actual use. In Industry 4.0, data analytics is what fuel is to vehicles and is critical at every stage – from ideation to prototyping, from actual manufacturing/production to maintenance. Data analytics helps drive innovation and strike the harmony within several ecosystems that make Industry 4.0.

And not just that, data analytics immensely helps in resource allocation, optimization, asset planning, and utilization. Industry 4.0 is essentially about collecting data from various sources, pooling it together in the data lake, and then using it to drive modern tech.

·        Artificial Intelligence and Machine Learning

AI revolutionizes the traditional supply chain and helps in driving improved asset management, supply chain, and inventory management, offering better visibility into the supply chain processes, inventory and logistics. Adoption of machine learning, using the data fed by analytics, helps in achieving predictive maintenance in manufacturing, which helps to in turn reduce downtimes as well as maintenance costs.

Further, the combination of AI and ML aids in achieving Predicting Remaining Useful Life (RUL) of machines, equipment, and systems. This helps in tracking their behaviour in operation, improving performance, and predicting the downtimes to optimize the overall operations.

·        Internet of Things (IoT)

According to Gartner, by 2020, 30% of our interactions with technology will be through “conversations” with smart machines.

The IoT or Internet of things is so critical to Industry 4.0 that it is often used interchangeably and is also combined to be known as IIoT. Industry 4.0 makes wide use of the Internet of things, or even Intranet of things such as robots, sensors, and simulation tools that together contribute to the creation of a smart factory. In a smart factory, several entities such as the machines, systems, as well as the humans communicate and coordinate seamlessly to coordinate and track the production progress along the assembly line.

IoT brings about the change with centralized controls and optimized processes, training, and maintenance with the help of digital twins. Digital twin eliminates the need for working on physical devices or systems to troubleshoot errors but instead creates a replica of the device or system digitally to provide insightful training to support maintenance.

·        Augmented Reality and Virtual Reality

Augmented and Virtual Reality help in transforming the way data and information are accessed, used and processed, to begin with. AR and VR help in offering training and support to the on-floor factory workers. This significantly contributes to minimizing errors, speeding up operations, and improving overall efficiency.

AR helps in the design process by helping create a targeted user experience by overlaying virtual information in the real world. The technicians can observe the machines and systems without actually handing the device, receive first-hand information on possible inefficiencies and errors that the systems can run into, study its impact, and come up with solutions.

·        Cloud Computing

As Paul Maritz, the CEO of VMware, famously quoted, “Cloud is about how you do computing, not where you do computing.” Cloud Computing facilities every other data-dependent technology by making relevant data promptly available for use, irrespective of the location. With cloud computing, storage, access, and management of data across several locations become easy. Cloud environment facilitates data collaboration and exchange, which helps in effectively driving all the processes- right from supply chain to maintenance.

What this means for Industry 4.0 is that while data analytics-driven AI, ML, and IoT are necessary, the cloud is imperative for a ‘factory’ to transition to a ‘smart factory’.

Our Services

Offshore Software Product Development | Digital Twin Software Platforms | Outsourced Software Product Development Services | Digital Product Development