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December 2019

Robotic Process Automation: A boon for the Pharmaceutical Industry
Robotic Process Automation: A boon for the Pharmaceutical Industry Raju G

Robotic Process Automation: A boon for the Pharmaceutical Industry

Robotic process automation has become a new trend across various industries. Implementing robotic process automation, can decrease the probability of human errors, and also easily accomplish the tasks which are monotonous and repetitive. It can provide benefits to various industrial domains to redesign their business processes and to achieve maximum productivity in an economical way.

Robotic Process Automation

RPA is designed on software-based automation service that uses the concept of advanced Artificial Intelligence technology. Robotic Process Automation, depends on robots or the core software for acting on assigned works and specific business operations with flawless accuracy and increased pace. RPA services can eradicate manual work and can implement automation in the entire process. Robotic process automation can work round the clock, and that’s the greatest advantage.

Important Business Benefits of RPA Services

RPA can provide the following key benefits to the organizations:

Increased Efficiency – It helps in lowering the duration for acting on repetitive tasks and non-fundamental tasks. It can aid the employees to concentrate on vital processes thereby raising productivity.

Improved Performance – Robots do not rest! They are very robust and work relentlessly with flawless accuracy. As a result, the company can produce high standards of products and gain a better performance.

Lowers the operational Cost – RPA can replace full-time employees from the non-fundamental domains and reduces the overheads. As per survey, operational cost can be reduced up to 25% with the implementation of RPA.

Improved implementation of Data Analytics – Robotic Process Automation can collect valuable data easily and help the organization to have a better understanding of the future results through implementation of business intelligence and advanced analytics.

Why Robotics Process Automation is important in Pharmacy

Pharma companies can distribute advanced and digital labors with the aid of RPA services. Robotic Process Automation coupled with Machine Learning and Artificial Intelligence, helps the pharmaceutical sectors to flourish while abolishing monotonous tasks. It can excel the overall growth of by meeting the mentioned objectives.

Providing better compliance and regulatory requirements – Significant decrease in the human errors, RPA can be beneficial to the pharmaceutical sector by meeting rigorous standards and compound standards of regulations.

Matching up patient expectations – Compliance with all of the regulations and with better standards of medications, the pharma industry can fulfill the patient’s expectations with the implementation of RPA.

Lowers the Operational Cost – RPA can aid pharmaceutical companies to decrease the unwanted production and compliance cost. Hence, it can be concluded that, pharmaceutical companies can achieve greater ROI.

Lowers the Time to Market – RPA can raise the productivity by finishing all monotonous tasks quickly. It has also an important role in facilitating clinical experiments and collecting live data. As a result, the pharma companies can discover the new medicines in a shorter span of time compared to previous days  

The pharmaceutical sector has to follow certain protocols which are set by the authorities. RPA in the pharmaceutical industry has the primary target to implement automation while authorizing the management to follow the government’s guidelines. What’s more, it can reduce the cost of labors and increase productivity of the organization. RPA can amplify the turnaround duration for finishing tasks and provide several advantages to both large scale and small scale pharmaceutical organizations.

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5 Big Bets for Enterprise IoT in 2020
5 Big Bets for Enterprise IoT in 2020 Raju G

5 Big Bets for Enterprise IoT in 2020

It can be rightly said that from past decade the IoT service providers and Enterprise IoT services are growing at an exponential rate. Smart automobiles, regular devices or wearable devices, advanced sensors and software are improving past basic function and the network is increasing to take even more technical progresses every day. Users across the globe now have more connected devices in their home or work place this year compared to they had last year.

It can be rightly said that from past decade the IoT service providers and Enterprise IoT services are growing at an exponential rate. Smart automobiles, regular devices or wearable devices, advanced sensors and software are improving past basic function and the network is increasing to take even more technical progresses every day. Users across the globe now have more connected devices in their home or work place this year compared to they had last year.

Complete Advancement throughout the global market

By analyzing IoT market and connectivity statistics one would be able to see the total numbers of all mostly in the billions.  IT Pro stated that, only in 2019 alone, around 3.5 billion devices that are connected to the Internet are used for performing regular tasks. This means in the year 2020 more and more progress of Enterprise IoT services ,IoT service provider which will bring more traffic on an already congested connected internet. In 2020, it is certain that there will be an increased requirement for 5G connectivity summing up a lane the congested web highway to tackle the growth in devices. Also a bigger push for cloud computing to store data from these devices.

Transformation in the Healthcare and Manufacturing Industries

The Internet of Things (IoT) have created a major digital transformation across various industries, specifically manufacturing. Advanced radio frequency identification tags, Sensors and smart beacons have already initiated the next industrial revolution. It is predicted that the count of connected devices in the manufacturing industry will increase to more than double between 2018 and 2020. Makers or producers will be able to reduce delays, increase performance of production, lowering the equipment downtime and manage complete inventory. Beside Manufacturing Industry IoT is also expanding its impact in other sector, It’s been predicted by 2020 that 89% of healthcare organizations will have implemented IoT technology. There are innumerous applications of IoT in Healthcare sector some of them are like electronic health records, smart home care, smart pills, managing sensitive data personal healthcare management, and an overall higher degree of patient care.

Increased Security at End Points

IoT devices may be vulnerable to security issues and hacking threats. By 2020, it can be assumed that enterprises and IoT service provider will increased security at all endpoints.

Giant hardware manufacturers like HPE, Dell, Cisco, and many more are designing advanced infrastructure for the advance deigned to be physically uneven and secure, and security vendors will begin to provide endpoint security solutions to their current services to stop data loss, generate insights into network health and threat protection, include privileged user control and application whitelisting and control.

Smart Common Areas in Cities around the World

 

Smart cities are the next milestone which is yet to achieve. Sure we’ve designed and implemented smart buildings and smart homes, but fully smart cities is yet to come. By the end of 2020 it might be possible to see smart areas or neighborhoods within cities.

Various organizations, are already in the process of designing a smart neighborhood in different parts of world. Smart sensors has the goal to provide a convenient, safe, clean and comfortable place for those who live there, smart sensors help to track different walking routes, differentiating between occupied and vacant building, improving and detecting faults in sewage flows, parking space and many more.

Growth in the Market Penetration of Connected Smart Cars

While self-driving cars will definitely be a normal occurrence in the coming years, but there are lot more opportunities with IoT inside the car for 2020.Currently many of the vehicles have an integrated app feature built in them which displays real time diagnostic information about the car. This is possible only with the advancement of IoT technology. Now anybody with this featured app connected with his/her vehicle will be able to measure tire pressure, fuel capacity, data about fuel consumption and so many other things about a car. Also how it notifies the car owner when something is fallacious with the engine. Beside diagnostic information multiple other IoT advancement can be seen by the end of 2020. Various other implementation of cutting edge technologies like integrated apps, deep learning voice search, and current traffic information are a few other things that will change the way we drive. These are only a few bets for IoT service provider and Enterprise IoT services for 2020 and the years to come. There will be more scope of advancements that we have only dreamt about until now.

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Top 4 Benefits of Implementing IOT across the Healthcare Landscape
Top 4 Benefits of Implementing IOT across the Healthcare Landscape Raju G

Top 4 Benefits of Implementing IOT across the Healthcare Landscape

From the technological aspect, the healthcare domain is continuously booming but currently healthcare services are much more expensive compared to past, moreover, the worldwide population is getting aged and there is a constant rise of several chronic diseases. It is necessary to find a permanent solution to make basic healthcare cheaper so that it can reach to most people.

It is known that modern technology can neither resist nor can decrease the age of the population, in the same way, advanced technology cannot wipe out chronic diseases, but it can at least reduce the cost of healthcare and can make it pocket-friendly and also it will make healthcare easier to access.

A new model of technology, known as the Internet of Things (IoT), has profound applicability in various areas, including healthcare.

With the implementation of this technology, there are many immense benefits that could upgrade the standard and efficiency of treatments which ultimately results to improve the health of the population.

Benefits

Live reporting and monitoring

Live monitoring with the help of connected devices, can save lives in case of any medical emergency like heart attacks, fatal accidents, panic attacks, etc.

With IoT, advanced medical devices can effortlessly be integrated with any smartphone app, connected devices can gather medical and other health data and utilize the connectivity of the smartphone to transfer gathered data to a physician.

These data are collected and kept in the cloud servers and can be send to an authorized person, or an external medical consultant, allowing them the access to view patient history regardless of their location, time, or device.

End-to-end connectivity and affordability

IoT can design automatic patient care workflow with the support of healthcare mobility solution and other advanced technologies.

IoT in healthcare authorize interoperability, interaction between machines, data exchange, and data movement that further upgrades the healthcare service delivery workflow.

This results in technology based setup which lowers the expenses, by reducing unnecessary visits, implementing improved quality resources, and upgrading the allocation and planning.

 

Real time tracking and notifications

Real time alert is very crucial during life-threatening situations. Medical IoT devices collect important data and send that data to doctors for on-time tracking, while sending notifications to patients about critical parts through mobile apps and other connected gadgets.

Thus, IoT activates real-time notifications, monitoring, and following, which gives access to quick treatments, flawless accuracy, by doctors and upgrade the complete process of patient care.

 

Remote medical assistance

In a critical scenario of an emergency, patients can reach to a doctor who is staying miles and miles away having access to a smart mobile apps. With mobility solutions in healthcare, the doctors can instantly examine the patients and can rectify the illness quickly.

Also, large number of healthcare organizations which are predicting to design machines that can spread medicines or drugs according to patient’s prescription and other related data available via connected gadgets.

Conclusion

IoT is transforming the complete operational aspect of healthcare industry, the solutions which are delivered to the healthcare industry with the help of IoT are much more advanced and accurate.
These technologies upgrade the entire healthcare product, resulting a larger impact by integrating together minor changes.

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Benefits and impact of RPA in Supply Chain Management
Benefits and impact of RPA in Supply Chain Management Raju G

Benefits and impact of RPA in supply chain management

According to a report presented by ISG says more than 70% companies will implement Robotic Process Automation by 2019 to automate support tasks, RPA benefits in Supply chain management can be easily witnessed by organizations in logistics domain. There are several impact of RPA in Supply Chain to increase the productivity, improving efficiency, and reducing errors on the business processes for logistics and retail industry.

Robotic Process Automation in Supply Chain helps to automate processes that are done manually, which reduces the chances for errors. RPA tools depends on software solutions relying on virtual servers that can be easily started and shut down at any time. Robotic automation help organizations to recruit and train employees for advanced works and challenges, instead of repetitive robotic tasks.

RPA benefits in Supply Chain Management

 

  • Order Processing and Payments

The order placement and processing part of a supply chain essentially consists of three phases-

  • Selecting a particular product
  • Maintaining and processing payments
  • Confirming the order

There are still businesses within a set of industries today that rely on old manual paperwork to process transactions which can be entirely digitized. Order processing and payments is one of the major impact of RPA in supply chain, information or data can be directly ingested into the company database, various payment gateways can process the required amount, and an efficient solution can send out auto generated email and text message confirmations for the confirmation of order.

  • Email Automation

Proper structured and efficient supply chains processes take care of one aspect dearly. Communication. For a proper and efficient supply chain management a transparent and improved communication channel is very essential, in this era of digital transformation communication is an important part of supply chains. RPA can be used to automate this entire process by triggering emails and text messages when a specific event occurs.

  • Inventory Management Automation

It can be rightly said the fundamental of supply chain lies on efficient inventory management. Suppliers and manufacturers required to be aware of their inventory levels and confident enough to have adequate amount of products and spares to meet demands. Implementing RPA in supply chain management can make inventory management much convenient by maintaining accurate data on inventory levels, pushing automatic notifications to managers when product stock levels are low, and automatically reordering products that go below a given level.

Moreover, an RPA system enables in determining the required inventory levels by accumulating the historical data and designing out patterns in demand. It is one of the major RPA benefits in Supply Chain that would make the inventory management process much stable and always updated to meet challenges in demand.

 

  • Supply & Demand Planning

Before automation, supply and demand planning wasn’t that easy to maintain for the employees in any organization. They had to find and collect the required data, integrate the data and manage it in presentable formats, analyze exceptions to the data, and then communicate the plan.

RPA in Supply Chain, with the aid of Machine Learning and AI, can help companies and business processes to determine the future demands and be ready to face the unexpected challenges in demand. By automating most of tasks in the supply chain, organizations can now stop the possibility of manual errors and make operations efficient, self-driven, and smart.

Impact of RPA on Supply Chain Management

Due to the major impact of RPA in supply chain management now the entire process has improved cycle time and agility, increased capacity and asset efficiency, improved receivables, as well as high levels of supplier, customer, and employee satisfaction. With recognizing these benefits, it’s also required to acknowledge the planning procedures needed in order to implement automation successfully at scale. Businesses should build their own RPA governance team and committee, to retain the process of selection, and ignite discussions around the redeployment of employees.

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Top microservices architecture pattern
Top microservices architecture pattern Raju G

Top microservices architecture pattern

In the era of digitalization, Microservices software architecture enables a system to be sub-divided into a number of smaller, separate and independent services. Microservices patterns generally have multiple names. Before implementing microservices, it has always been asked as what is the correct way of implementing microservices architecture api interaction between two microservices architecture, since the microservices are adopted by most of the industries so the perfect solution for the above question is in great demand.

According to James Lewis and Martin Fowler, there are two types of communication protocols:

  1. HTTP request response with host APIs
  2. Lightweight messaging.

 Following six types of Microservices patterns that can be found prevalent in Industry. The first two are considered to be introductory patterns, while the other four are the Microservices patterns for managing state. The design patterns are as follows:

Fine-grained SOA:

When coarse grained services, it makes the entire system too rigid to change. With every change we get some side effects. This leads to the monolithic style of architecture that prevents teams from moving fast.

 As per Fine grained soa pattern, entire system is improved as the services into fine grained parts. This means, if there is any change, the scope of side effect is limited to that particular service only. It allows the team to move faster with making new changes.

Layered APIs over fine-grained SOA:

Like every architecture, Microservices software architecture also needs a predefined structure. The optimum structure for Microservices should make it easy to be used by a large organization with multiple teams. It is difficult to visualize all the Microservices of an organization without a structure. Here, different layers of Microservices can be created and group the services by some purpose like- system processes, UI, domains, data etc. These layers bring the structure required to work with a large number of Microservices.

Message-oriented state management over layered APIs:

For Data integrity, it is required to repeat the key business data between multiple Microservices or databases. This is an inefficient way and always have huge chances in errors. In this type of microservices pattern, message queues can be used to share state between multiple Microservices. Each service can subscribe to the key business data that it needs for its operation.

 

 

Event-driven state management over layered APIs:

The key business data can go out of sync between multiple Microservices. By implementing a common format for business data, so that it is represented in same format among all the Microservices. This is an extension of Message oriented state management.

Isolating state in layered APIs:

It means it Microservices have its own state, which is its individual feature. Each of them has their own sets of internal data store that constantly reconciles with external data store, isolated pattern supports extremely granular microservices, concentrating on the critical details. It requires an asynchronous event propagation as a means to pass state change from one point to another. One can nominate one Microservices to be the single source of truth for a business entity. It is based on domain driven design, where domains are abstracted in multiple services.

API Composition Pattern:

It is used for performing complex queries in a microservices architecture. It is no more any straightforward approach to use queries that integrates data from multiple services. Implement a query by defining the complete microservices architecture API interaction and API composer, which invoking the services that own the data & perform an in-memory join of the results.

Conclusion

These are some of the most widely adopted Microservices patterns, implemented in the digital transformation process of any business. By selecting the correct pattern with proper microservices architecture API interaction process and API gateway pattern, business will be able to get big solutions much easier, raises productivity, offers different opportunities in choosing technologies and works efficiently for cross-functional teams. For a large project, it requires fast and autonomous delivery, needs a proper plan to scale solution, microservices architecture is definitely the best bet for the same

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