Healthcare Sector and Cloud Computing: Transforming to Serve better

Technology is continuously developing, especially in the highly competitive healthcare industry. Going by historic data, healthcare industry has been one of the slowest adopter of technology; and surely for valid and obvious reasons to stay vigilant and conventional in approach.
Enter cloud computing!
Cloud computing is altering the way healthcare providers deliver quality at affordable services.
The global healthcare cloud computing market is forecasted to become $9.48 billion by 2020 from $3.73 billion in 2015 — growing at CAGR of 20.5%. The market will be dominated by North America, with Europe and Asia to follow. The growth will however, pressurize healthcare system infrastructure to maintain and improve access to quality care without overburdening the costs.
Healthcare providers have no choice but to embrace the cloud in some form. This transition is being driven by two forces: the business imperative to cut costs and facilitate better quality of care.
Let us discuss some of the benefits that cloud computing has been able to bring about in healthcare sector.
Access to Healthcare
Getting access to proper healthcare in remote areas is a greater challenge, mainly when patients have a busy schedule to chase. In the midst of the lifestyle upheaval, telehealth and virtual care solutions are gaining impetus with laws also being modified to accelerate adoption and reach out to the needy at large.
Medication adherence
Patients falter in following prescriptions as advised that many times leads in their re-admissions, costing a huge sum on healthcare insurance units and indirectly on the government.  Automated messaging to keep a log of medicine refills before they expire or when to consume is expanding rapidly to avoid such burdens.
Drug theft and counterfeiting
Theft, counterfeiting, selling expired medicine are some of the problems which can be controlled by monitoring the supply chain. This has opened a vast market for solutions which monitor and log supply chain procedures in real-time and report suspicious actions.
Resource Incompetence
Mounting expenses of healthcare is debated the most amongst policy makers and yet no real solution has been employed to date effectively. One of the key factors that adds to the cost of healthcare is inadequacy of resources like medical staff, equipment and easy access to patient resource pool for clinical studies.
With the use of artificial intelligence in the healthcare environment, healthcare experts’ capabilities can be expanded since data can be amplified with smart machine-based analytics for doctors to appraise. For clinical trials and scientific studies, a social network-based approach can be used to gain accessibility to the patient pool.
Personal data privacy
Every healthcare organization that maintains and manages their own medical records witnesses a nightmare on the data security and compliance front, let alone that it adds significant cost for them to maintain their own IT infrastructure and be liable for all the data directly.
Cloud-based solutions provide access to state-of-the-art security technologies, thereby minimize the individual liabilities on each of the healthcare organization.
Uniform medical records
Each hospital or care provider who have in-house customized Electronic Health Record (EHR) system is not in favor of the consumer change. In addition to overburden the cost to the healthcare system due to the hassle of maintaining a different system for each hospital, it also makes more painful for patients to change their practitioners. What that means for patients is, they have to remain confined to a certain care provider and may not always get the finest care which could be the case if they had easy access to their EHR in a typical uniform format.
As digital transformation spreads across the healthcare industry, improvements in connectivity, security, and cloud services technologies are allowing the healthcare ecosystem to solve numerous major challenges that the sector is facing — leveraging health clouds to address key issues.
Cloud computing and healthcare industry are a perfect match – together they can give fantastic health services and reach out to the otherwise inaccessible patients. With recent advancements in cloud computing the healthcare ecosystem is positioned to make the most of networked applications, as a result create and deploy better healthcare solutions.
Gupta, V. (2018) Cloud Computing in Healthcare. Retrieved from
Patel, A. (2018, Jan) 6 Ways Cloud Computing Is Transforming Healthcare Systems. Retrieved from

Digital Twin 2018: Technology and Simulation

Digital twin is the virtual depiction or replica of any physical object or system throughout the lifecycle of it by the inputs from real-time operational data and various sources to bring about better knowledge about the asset for informed decision making. A physical object can vary anything as small as a ball bearing that requires electrical, mechanical and software precision and seamless inter-operation.
Digital twin has moved past the manufacturing sector and has merged with Internet of Things, Artificial Intelligence and data analytics. As more and more complex objects are being connected, the process enables to produce more data to develop a digital replica that further enables scientists and engineers to gather in-depth information to optimize peak efficiency of the object before physically installing it or implementing it by developing scenarios of future possible breakdowns with probable solutions to it.
Digital Twin Application
Mostly used in manufacturing setup, digital twin is quite an advantage in the energy, transportation and construction sectors too. Large and complex objects like aircraft engines, turbines and trains could be digitally designed and tested before being produced. These digital twins are also helpful in maintenance operations, engineers or technicians can seek the digital twin to test before possible fix or upgrade a part of a specific equipment before fixing it on its physical twin.
Creating digital twin with umpteen data requires highly sorted skill sets such as machine learning, AI, predictive analytics and many more science capabilities.
Digital Twin and IoT
With IoT becoming universal, the device sensors used in IoT can be used by digital twin to include small and less complex objects, offering added advantage to companies.
An article by Dave McCarthy cites the reasons of having digital twin to deploy IoT, including the ability of digital twin to foresee various outcomes depending on the variable data. Similar scenario ‘run the simulation’ is often noticed in the Si-Fi movie, where a fictious scenario is depicted within a digital space.
Using added software and data analytics, digital twin can be leveraged to deploy IoT devices for maximum efficiency. In addition, designers can leverage digital twin to ascertain fixing each part into exact device and how to operate before physically deploying. The more a digital twin can replicate a physical object, the higher is the likelihood of replicating the efficiency levels.
According to Dean Hamilton, digital twin and IoT together can revolutionize the manufacturing world. “The more highly instrumented a device is, the more accurately its digital twin will represent its actual historical performance, leading to better analysis and simulation of its future performance,” Hamilton writes.
Problems with Digital Twin
The general approach of digital twin is to demonstrate an insight of the objects or products at operational stage, without highlighting other features or making any comparative study of the product when designed, built and other dynamics of it. It involves a platform creation to line up the characterization of virtual object to translate the complete operational data into the digital twin which enables to comprehensively understand the product performance in comparison to its design intend.
Though digital twin is a virtual image of the product asset in usage in addition to certain predictive analysis and visual elaboration of lifecycle based on predictive algorithm, yet it’s not a complete replacement of ‘inclusive analytics’. Digital twin predictions cannot correlate and map back to product simulation, design modeling and overall lifespan predictive analysis destined at during the design and testing phases. Digital twin can only predict the requirements of parts replacement, it cannot predict a flaw in specific lifecycle of the asset.
Options for Analytics
AI vendors adopt a collective approach of collating and sending all the viable data to create a composite virtual image of a physical object. A virtually created giant asset such as a car has the capability of sending 25GB or more data per hour back to the cloud. The need is creation of algorithm analytics for running the data that is constantly created at the edge of the enterprise network. Analytics or cognitive automation is a mandate to recognize and deliver data to the cloud pro-actively before the networks hit a complete gridlock, that Immersive Analytics vendors often fail to acknowledge nor address.
 Digital twins can greatly augment an enterprise’s ability to make proactive, data-driven decisions, enhancing efficiency and evading potential problems. However, it can be a huge challenge for companies to create a digital twin if they would like to try this all at once. Best option is to start in one area, deliver value and continue to develop.

Internet of Things (IoT) – Future of Technology

Do not miss a Beat
The world has shrunk into an always-on data and knitted into an information network through internet. Data is everywhere, in all facades of life. It is this data that is streamed and connected for better solutions through analytics, helping organizations into better efficiency and building cohesive connect among devices in personal space.
The Internet of Things (IoT) is a concept of gathering and sharing data across various physical devices for actions to be taken through the network. Be it an industrial machinery or a wearable, the built-in sensors transmit the gathered data for an action to be taken across the network. It can be a prior alert about functional failure of any equipment resultant of minutest of error somewhere in the part, or automatically controlling the heating and lighting system of the entire building. In simple words, IoT is making lives easier through intelligent cognizance without human involvement.
The term Internet of Things was casually coined by entrepreneur Kevin Ashton in 1990s and since then it just stayed on and became a growing technology ever after. IoT breaks the barrier of physical and digital worlds, integrating the humanness of ‘things’ to the digital quantum of information system ‘Internet’, thus the name. IoT garnered interest in manufacturing sector for machine-to-machine application, but since then has taken over every aspect of business and life through smart devices; thereby digitally transforming every aspect of personal life and enterprise.
Benefits for Consumer
IoT has already have more things connected across the planet than people. Going by analysis of Gartner, in 2017 more than 8 Bn IoT devices were used, 31% higher than those used in 2016 and the number is estimated to cross 20 Bn mark by 2020.
Manufacturing sector has leveraged high-end sensors’ capabilities via addition to various components of machinery that can monitor and transmit the data on performance and possibilities of damage for proactive actionable and effective monitoring. In addition, organizations have enabled the data generated in making newer systems and enhance efficiency of the overall supply chain.
Business led IoT usage can be categorized into two segments: industry-specific which mostly focus on sensors for real-time location or data generation, secondly those that are vertical-specific such as the IoT smart devices that can be used in lighting and temperature control or security system across any business.
Privacy and IoT
The amount of data generated by the IoTs can tell what time a person wakes up to what is cooking for dinner through the standard data of smart fridge, smart over and so on. What happens to the data that is collected by IoT devices is a primary concern of privacy. Security is a critical aspect since the sensors collect sensitive data 24/7. Its quite easy to breach into the basic security tracks through encryption data in transit and at rest.
Since IoT is a bridge between digital and physical world, a security breach or hacking of these devices can result in catastrophic fall out. The security systems, complete infrastructure and classified information of a country and its citizens can be exposed to adversaries or fall in wrong hands due to the ubiquitous ecosystem of IoT. The added devices of thermostats, cameras and speakers can act as potential spy elements, transmitting the data and key information to unknown centers. The key factors of national infrastructure and security could be at jeopardy if the devices are not adequately secured.
Cyberwarfare and personal security could possibly be compromised due to IoT devices by harvesting and disseminating the big data if not dealt cautiously.
The impact of IoT has been mammoth and yet it is just the beginning of it. What needs to be more prudently thought about and implemented is more than the internet of things. Intelligence of things must take precedence in the future technology by infusing analytics into our systems and applications for the data to be more valid than mere collection of it yet remain highly secured.

Immersive Analytics – Future Interactions of Hybrid and Augmented Reality

Immersive Analytics (IA) has made a lot of advancement and a great deal of research is thrusted towards it due to the vast opportunities that this technology has to offer in analytical reasoning, exploration of data and in decision making. IA is there for others to simplify the known data of a system in a more visual and elaborated tangible manner, making it more interactive and engaging, establishing a realistic feeling in an alternate reality.
A new multi-disciplinary creative exploration into the future of interaction technologies, Immersive Analytics (IA) converges information visualization, visual analytics, virtual and augmented reality and natural user interfaces. While zeroing on an enterprise software, businesses stress specifically on usability.
An end user looks for accessibility of accurate data, in appropriate format, through most conducive channel within the right context – mainly when it is about Business Intelligence (BI) and analytics application. Designers need to break the glass ceiling of usability and move past the conventional keyboard and mouse, and experiment with innovative modes that are more innate and natural such as the visual, vocal and hand movements.
There is an imbalance in the human analytical capabilities and in demand volumes, variations and pace, this calls us to explore more about the computing machines to delegate the tasks like transformation, representation, condense and convert the information into assimilated and actionable bytes, mainly focusing on the scalability of IA.
Organic Interactions
Of late, it is evidently clear from the boom of Alexa and Echo that voice modulation is the most inherent mode of communication for human operators. Similarly, the big question arises that is it possible to just ask the BI suite to pull up report only through speech? For building the GenY IA interface for analytical tools, the top priority is to have a first layer of input that is compatible in supporting multiple Natural Language (NL) modalities, whether voice, visual or hand gesture or a mix of Virtual reality (VR) and mixed reality (MR).
A user is most likely to use more than one IA modality at any given time which gives them more natural interactions to emulate the human-human communication characteristics, making the interaction more intuitive, easier and user friendly. It is then that the multi-modal interaction layer orchestrates a vivid programmed command after interpreting the end user IA inputs.
Once the user’s inputs are captured, the first layer analyzes the recorded information and preserves it to be readily construed by the next layer where they are decoded into executable commands and deliver tasks for analytical applications.
Intelligent Interface
For user experience (UX) to be more engaging the user interface (UI) is supposed to be agile to strike a gripping conversation. Primarily, the UI must be capable enough of seamlessly switch over from one major natural language modality to the other one. Task execution framework of IA is quite crucial for the overall UX to be seamless. For NL interface, the execution tasks are either based on dialogue, a two-way information exchange where the output is generated based on information received and oriented towards retrieval of canned response and report, and generates insights depending on precise queries.
For gesture-based interactions, IR sensors and cams seize the inputs and decode them into conventional action for AI same as cursor clicks and moves. For a better immersive analytics report, the output can be given in the form of VR/MR, in which case the end user can interact with the visual data for virtual UX.
Keeping in mind the predominant trend of end user expectations, the GenY IA interface for AI in all probabilities will come with in-built platform intelligence. Using the machine learning algorithms that are both through supervised and unsupervised methods, the system can enhance its responses based on queries, search-strings and through sentiment analysis – constantly adding to its capability environment.
Past decade has witnessed a swift advancement and wide adoption of immersive devices like the HoloLens and Oculus Rift that have heavy capabilities to expressively outspread the methodology of revolutionized visual analytics through critical 3D context data and developing a sense of virtual presence. The immersive virtual world has no boundary; while time and scale are pliable. VR is undoubtedly a viable and vital technology when implemented accurately to understand the remote and visual importance of each component of an asset. However, if the product is detached from its entire lifecycle, IA leaves the engineer and staff in a fix.
Data encryption standards must be bound by defined storage, dissemination and retrieval policies. Top it all, these standards must be backed by watertight governance framework that has periodic provision of audits, and strict regulations to strongly maintain the records of usage. The discussion is only a sneak peek into the future of IA interface for composite business tool.

Information Security: How critical is it?

As per the current trends, the news of some or the other organization falling victim of foul cyberattack led breach, resulting in exposure of sensitive information and confidential data is no more a rare scenario.
When servers were securely encrypted and hidden away behind the corporate firewalls and perimeter-deployed intrusion prevention controls, enterprises took the security aspect complacently and completely relied on their host information security system. However, unforeseen events and actions have exposed the inadequately architected information security controls.
Network-based protection has made the businesses information quite vulnerable to attacks while the migration to hybrid cloud and private domains is imminently executed. The ever-changing cyber-threat landscape poses a critical challenge of keeping data secure whilst the evolving complexity of cyber threats whether a virus attack, cyber-fraud or espionage is getting intricate and daunting.
Regardless of the growing complexity of operations and magnanimity of enterprise networks, organizations still continue to jeopardize the security and as per 2018 State of Application Delivery (SOAD) report as many as 36% of businesses have only 25% of their applications secured. This needs to change – mainly the approach towards the alarming issue of IT information security (infosec) as we discuss.
Guiding Principles of Infosec: CIA
Information security is designed to protect the enterprise assets – digital and non-digital in every format from spiteful intentions. The core objectives ensure that confidential and sensitive information is made accessible to only authorized party (confidential), ward off unsanctioned data modification (Integrity) and ensure the data availability to all the authorized party as and when required (availability), commonly referred to as the CIA triad, the combined features of infosec program.  Infosec is a blanket term that encompasses compliance, risk and protection from unauthorized access, usage, expose, disruption, changes or ruining of the network and the data. CIA triad is the basis to a robust information security system.
The big question is which one of these CIA attributes is the most important. The answer and approach are completely based on businesses to evaluate and align their mission, goals, services, compliance perimeter and SLAs. In all likelihood all the components of CIA take the priority and organizations in that case should ensure equal allocation of resources for seamless implementation of CIA.
For confidentiality of information the critical aspect is encryption to ensure only authorized personnel can access and decode the information. As an alternative, information can be kept confidential through enforced permission and access control to sensitive information to restrict the accessibility.
Integrity entails protecting the information from unauthorized personnel since information holds value only if it is accurate. Cryptography is the key to keep the information integral through securely hashing the original message. Availability is conducive and valued when the information is made accessible to the right people at the time they need, and backup is the key to it to ward off disruption and destruction.
Security Imminent to be part of Organizational Culture
Information technology has become an integral part of every aspect of the enterprise world. Hence, fostering data security for business assurance is indispensable. Infosec cannot happen in silos, it is a shared endeavor to be incorporated into the organizational culture. Be it, employees, business partners or other stakeholders, personnel with access to sensitive data should not view security as an added cost burden; rather, awareness about cyber-attacks and threats should be the top priority even for casual technology users in an organization
A minor security lapse can result in serious security risks that have the capability to jeopardize business operations and result in serious loss. Business enterprises must accept and proactively initiate security implementations. Though laws remain static for some time, technology is a dynamic agent. It keeps changing evolving and changing technology undoubtedly brings new types of threats. So, while laws on information security might not get updated with technological changes, companies must look beyond their legal requirements and take a robust security stance.
CMS IT Proposition
Enterprises encounter serious security breaches despite investing heavily in Information security infrastructure. Hackers shrewdly devise new ways to breach the Information security of enterprise networks, either from within the company or from outside.
Research suggests that nearly 90% of enterprise breaches could be prevented through proper monitoring. Having said so, setting up a dedicated Security Operations Centre (SOC) to monitor the data and network is an enormous challenge because of high set-up costs, demands significant time and efforts, and increasing shortage of skilled in-house experts. Our SOCs at Bangalore and Mumbai offices are robust with in-house skilled expertise to take care of all types of business information security needs.
CMS IT’s Integrated Information Security framework security program revolves around process-driven human intelligence managing best-in-class technologies with better business service SLAs and security SLAs. We automate the processes through our end-to-end Artificial Intelligence as well. We offer solutions to complex business enterprise network securities through consistent and efficient tailored infosec services to cater to the organizational security goals and requirements.
As one of India’s top IT services firms, CMS IT provides complete solutions to large corporations across all sectors, including banking, insurance, retail, telecom and manufacturing. We provide new, cost effective and cutting-edge IT infrastructure solutions that are reliable, resilient and responsive. With decades of experience CMS IT’s security operations center (SOC) model is progressive and designed to meet all the advanced cyber security.
Excessive connectivity, governance pressure and sky-rocketing customer expectations are all together having a major impact on the modus operandi of companies to proactively address the alarming risks to their network security from all quarters. Whether financial services or retail sector, digital transformation landscape is the key driver to all the applications. Cloud adoption has undeniably heightened the need to step up from the conventional security measures, to stay abreast of the rapid rise in users, applications, data and infrastructure.
In today’s sprawling global networking and digital world, App security contributes a major share in the reputation management. Businesses need to deliver services with higher speed, adaptive functionality with utmost security.
Cobb, S. (2018). The 5 IT security actions to take now based on 2018 Trends. Retrieved from
Cotextis. (2018). What’s a Security Operations Centre (SOC) and why should I care? Retrieved from
Durbin, S. (2018). The Top Five Global Cyber Security Threats for 2018. Retrieved from