Emerging Technologies Trends in Healthcare in 2018

2017 has seen a lot of trends emerging in the healthcare industry and it is expected to be revamped in the upcoming years. The year 2018 is said to witness how technology will contribute in uplifting the healthcare sector with transparency being one of the key concerns. Artificial intelligence, IoT, cybersecurity, disaster preparedness and the real-world patient experience are some of the prime trends.

Here are the top 13 healthcare predictions/concerns for 2018

1. Real world evidence

By 2019, nearly 50% of the healthcare companies will have dedicated resources to help and manage healthcare right from accessing, sharing and analysing real world data for use across their organization. The growing real-world data is providing healthcare and life science industries with the ability to better assess their existing and emerging treatments and drugs. Real world evidence can help target patients who can benefit from the drugs or exclude those from that might be harmful.

2. Digital mobile engagement

Digital mobile engagement among patients, providers and life science companies will increase 50% by 2019, thereby improving clinical trial treatment and medical adherence. This bridges communication gaps and enable information pathways. Both the doctors and patients are comfortable using their mobile devices for work and accessing medical records.

3. IoT for asset management and tracking

The proliferation of IoT enabled asset tracking and inventory management will almost double the current rate by 2020. Not only will it increase hospital operational efficiency, patient safety and staff satisfaction, it will also support in decision making. The IoT enabled platforms aggregates and integrates data to obtain insights into operations, assets, tracking and HR management.

4. Patient generated data

The rise of passive biometric and digital tracking technologies, improved data analysis tools and related innovations transform patient-generated data into a high-value resource. By 2025, 25% of medical data will be handled, shared and collected by the patients themselves for the healthcare systems, thereby enabling a personalized relationship with the clinicians for continued treatment.

5. Robotics at hospitals

Technology advancements in robotics facilitates deployment of robots to handle time consuming tasks, reduce labor, prevent errors to improve patient safety and sustain business operations. They are increasingly being used in supply chain functions, surgical procedures, clinical applications and cases.

6. Blockchain health ecosystem proliferates

With hospital executives, payers and others considering or deploying blockchain solutions, innovators recognize this technology has great potential in healthcare. Blockchain use-cases diversify into anti-counterfeiting, health data marketplaces and other areas for operations management and patient identity. In 2018, we can expect to hear a lot more about blockchain’s role in health-focused artificial intelligence applications, precision medicine and genomics.

7. Cognitive and AI adoption

Nearly 20 to 40 percent of healthcare and life science organizations will achieve productivity gains through cognitive and AI adoption. The introduction of applications with embedded cognitive/AI technologies have increased in IT adoption.

8. Empathetic health interfaces mature

Advances in artificial intelligence, robotics, the Internet of Voice and related technologies accelerate the development of technologies that are more responsive, empathetic and human-like, which benefits elder care, mental health and other areas.

In 2017, empathetic interfaces made significant leaps forward, as chatbots, robotics and artificial intelligence have led to the creation of truly responsive interfaces that patients are beginning to trust and rely on.

In 2018, we will see empathetic interfaces expand across a range of areas, including depression, aging, providing companionship to older adults and even rehabilitation.

9. Increased back office operations reliance on tech

The overwhelming data management requirements and budget constraints will push organizations towards the BPaaS (Business Process as a service) vendors to integrate, manage, analyse and act on the hidden insights in the data.

10. Medical device vulnerability

Class-action lawsuits against medical device manufacturer for negligence resulting in the death of patients connected to the networked medical devices while hospitalized will be more common than anticipated. This will be precipitated by the IoT adoption in healthcare vertical.

11. Digital/virtual healthcare services

By 2021, digital healthcare services will account for 6 percent of global healthcare expenditures. A new generation of digital healthcare services is reaching consumers in a faster and more personalized way, relying on telehealth and patient engagement technologies. These approaches are leveraging IoT-enabled medical devices, augmented and virtual reality, and artificial intelligence, further underpinned by the third-generation platform of technologies.

12. Disaster preparation

Healthcare organizations need to go the extra mile with disaster preparedness to keep healthcare going, such as keeping generators and critical systems in an underground concrete site.
Have a virtual backup to traditional services that can provide medical assistance in the event of damaged facilities. Organizations need to establish current levels of resilience and plan for what comes next.

13. Tax reform moves forward

Financial reporting systems will have to be updated to capture different information as new tax provisions go into effect. Based on any final tax reform passed by the government, businesses need to audit their systems to determine required changes.

Companies should continue to model proposed provisions’ effects and develop action plans to mitigate risks and take advantage of potential opportunities. Organizations with advanced insight into reform’s impact will build enterprise resilience, positioning themselves to respond to changes more quickly once they take effect.

Synthesizing Our Reality

By Bindu Vijayan

This article is reproduced from GAVS’ enGAge magazine, Jan 2018 edition.

I was fascinated seeing a video on product unveiling thru MS Hololens, the digital mapping of the room and how the room fills with holograms, the next gen hand tracking and I went ‘wow’!  The lady in the video moved the holograms across the room in real time and space, the boxes she moved reacted using physical space simulation just exactly how they would in our real physical world.

How much of the synthetic world are we allowing into our lives – there is another superb youtube video ‘envisioning the future with windows mixed reality’ where an assistant comes up and talks to Penny asking her if she is fed up of trying to set things up, and wonders, ‘should we start a panic?’.  The same assistant then goes up to Sameer, her colleague who is in another location and says ‘Penny needs your help’ which has Sameer appearing in front of Penny as a 3D hologram helping her with what needs to be done.  The collaboration is uber cool, they are doing a design together in mixed reality. Their collaboration is so neat and visually fascinating – Penny picks up an eyedrop from the physical ceiling to graffiti the wall, Sameer mulls thru the possibility of adding a cool bamboo fountain in the room. Windows bring spatial sound, articulate hand tracking, bots help with businesses, with 3D assets, and I quickly read up how MR can enhance our real lives.

Mixed Reality offers one that freedom to move, interact and explore beyond our real-time space, with a fascinating and whole immersive experience.  Our body motions are called ‘translations’ which offers an entirely different dimension to our experience – one gets a different view when seated, a different view when you are standing… I saw an anatomy lesson in MR; it had the student taking the lungs out of a body, probe a lobe, see its minute details, choose a skull by touching the air, split it into several fragments – the temporal bone, zygomatic bone, occipital bone, parietal bone.. what a fascinating way to learn and memorize!  Especially for people who are oriented to visual learning. The images are so clear and precise in depths and other dimensions

All of us have in this magazine have tried to explain MR the way we understand, and its interesting to see how each one of us have interpreted the fascinating technology.  Its intriguing to see how a pair of lens understand the surfaces of the room – allows 3D hologram images to be placed on those surfaces to give us the immersive mixed reality, the point where polar ends (the digital and physical world) of a spectrum  meet, and the more we work on the technology the more immersive it is going to get.

Research has developed a method for translating two dimensional medical images into 3D augmented reality models so that surgeries can be planned with greater ease and precision, and the technology helps with navigating around organs.  A firm called Scopis has built the first mixed reality interface for surgeons to make spinal surgeries minimally invasive.  They claim that they help improve accuracy and speed of surgeons because the HoloLens shows them precise angles and positions of the equipment.

Just imagine a doctor being able to see a holographic image of her patient’s brain, much larger than the actual size which helps the surgeon to determine the exact spot that needs intervention.

I would never have conceived of a reality that projects synthetic things into your reality, to make life easy. It is amazing to think of the huge amount of work that goes into designing the 3D object, including reactions and behaviors to make it real and behave as how reality in the physical plane would be.

With this new reality making the perfect overlay on our physical reality, we can achieve several things inexpensively, for eg. network teams across different geos, work together, build designs together. The interaction seems so perfectly natural that people don’t feel they are interacting with a digital environment. With gestures and voice commands, teams existing several thousands of miles apart are able to work together on the same building project, expert physicians can consult on complicated surgeries across miles, it is a world so immersed with connectivity.

With the technology becoming more and more affordable, most businesses would be aided with some type of immersive technology, and as the technology builds, lending virtual overlays on almost any business from a buyer’s perspective, it can also help businesses by being able to detect faults and errors and save dollars; in other words, prevent disasters and losses.

Who would have thought we would achieve such huge paradigm shifts in our realities?  As digitization grows and strengthens, synthesizing realities aid us perform better as physicians, teachers, in the military, construction, mining and what not.

With 5Gnetworks, compute functions on the cloud and so on the technology should be able to get a lot cheaper, and that means reach almost everyone soon enough. That’s huge responsibility for those who are building the technology, isn’t it? They are actually designing how people will experience in future, and what does something like that entail? It also means huge freedom to their creativity with a huge array of possibilities and chances to see their visions made into realities. They are building on human senses and it can’t get more complicated than that; the spectrum is so very vast with human tastes and preferences, and creating experiences for everyone across the spectrum is a very demanding ask. To have to translate positive reactions into the synthesis, deepen it further in coding, wow!

Where is all this taking us, I sometimes wonder, we synthesize reality, synthesize our understanding, how true when they say that our minds will always fit what we want it to fit, the key to infinite creativity….




All images are picked from Google.

Can you have your cake and eat it too?

By Rajalakshmi M.

This article is reproduced from GAVS’ enGAge magazine, Jan 2018 edition.

The name “Pokemon GO” is sure to take you back to last July. The game which has a record number of downloads across both Android and iOS, made Niantic Inc a household name in a short span of time. The game went on to break many records and took Augmented reality to the next level. Its explosion paved the way for something that would blend the virtual world into everyday lives to help develop the concept of Mixed Reality.

The success of such games, and further the muted response to Virtual Reality throws a fundamental question at the digital world? Has the world come to a state of coexistence with what we know to be “virtual”? The answer to this is Mixed Reality.

In a modified Augmented Reality, though you can see your Pikachu, it would look different from different angles. That means not only is the digital world superimposed in the real world, there is an actual interaction between the two. But where are we technologically in achieving this dream- the Mixed Reality?

The first to come was VR- Virtual Reality-The 3D world created by the programmer which can be explored and interacted with by a person by immersing herself/himself to achieve it. Now it seems cool and all, but where is the fun if real world and virtual world are disjoint sets. Then comes the idea of AR –  Augmented Reality- Yes, A 3D programmer’s world but it supplements the real world, but the user remains in the real world. And then comes the mother of all realities MR- Mixed reality- There is not just the 3D Programmer’s world, but also the real world and they could superimpose on each other and interact with each other. And it could be immersive or non-immersive. Thus, Mixed Reality is a superset of all realities and it could be any point between the extremes of the reality-virtuality continuum.

The market research firm MarketsandMarkets has published a report that goes onto say that the combined markets of VR and AR alone would be worth a whopping $160 bn by the end of 2022.They also go on to say that the size of the Mixed Reality market will also be around the $453.4 mn by the end of 2020. The current enterprise use of Augmented Reality includes the areas of visualization, training and interaction. Consider the use of AR by AccuVein. They use the technology to convert the heat signature of patient’s veins into an image that is superimposed on the skin, for easy location of veins by the clinicians. The likelihood of a successful needle stick on first try has improved by around 3 times and the need for further assistance has reduced by 45%.  The field of training has had a sort of revolution. Real-time, on-site, step-by-step visual guidance on tasks such as product assembly, machine operation and warehouse picking has helped the manufacturing employee walkthrough the processes in a 3D way instead of the usual 2D schematics or videos. Boeing reports that trainees completed the work in 35% less time when AR was used to guide them through 50 steps for assembly of 30 parts in aircraft wing. GE has made its factory workers test the interactive voice commands of AR and has reported a productivity increase by 34% in its tests.

These are the small successes with just superimposition of images. Now imagine if there was context. Imagine if a person is training to become a clinician had access to the virtual vein of the actual vein being targeted by the clinician at AccuVein and could see in real time what was happening? And if the trainee could stick the needle and then see how it all went? What if the Boeing trainees could train initially just with the virtual parts and see how the virtual aircraft flew in actual reality? And maybe to the miner who was standing 100s of feet down needed some help with the mining equipment. If an expert could get a remote access to the real time virtual mining equipment and then recommend the action? And what if the floor supervisor wanted real time visualisation of performance of equipment on the floor? Maybe all he needs to it touch a few buttons on the equipment panel and 3D representation of its performance? And what about cadaver less medical schools? And what if Sherlock Holmes could recreate his mind palace in his room? This is application of enterprise mixed reality.

The technology for mixed reality is still at a nascent stage. It means immense progress in the fields of Image recognition and Simultaneous Localization and Mapping(SLAM) . Mixed reality calls for the need of advanced image recognition for object recognition to identify the environment of a user so that he/she can interact with. It also needs to function in all known or unknown environments by continuously creating their maps. Thus, a real-time understanding of the real-world environment surrounding the user without any lag is needed to create the perfect co-existence of the needed digital and physical world. Above all this needs to be complemented by the hardware and processing power. Today Microsoft HoloLens and Meta’s Neta Pro have taken some baby steps in realizing the potential of Mixed Reality with its take on virtual overlay, sensors tracking physical world, inertial measurement units and processors.  The world has a long way to go before realizing the complete potential of mixed reality. Mixed reality lets the world have the best of both virtual world and real world and thus helps the world realize its digital 3D potential. For the world to embrace the technology completely more research and development in the above enablers can help in faster commercialization and thus leading to economies of scale. The poet in me says it will be the fulfilment of the dream of having my imagination in actual reality.

As we march ahead in this journey of embracing a vision within the reality, questions arise about the mere meaning of existence. We exist in an environment with its own problems and questions. Not only can we live in a world given to us by the red pill but we can further bring that world into Stark Tower. But let us not need the totem, for reality must be embraced in the journey called life. But if you are the one whose totem never needed to be taken out, you my friend have had your cake and eaten it too!!


NetOps 2.0 – Bring Network Automation and Analytics Together

A radical shift in digital business technology is transforming business operations that will force leaders to revamp their traditional network operations to stay relevant and to adapt to future technology and process demands, such as DevOps, Internet of Things (IoT), agile, cloud and software-defined infrastructure.

Network 2.0 (NetOps 2.0) is the culmination of hiring and skill set training for more effective approaches to modern infrastructure. It enables new network automation platforms and network analytics platform to become a vital and strategic tool for the business, thereby delivering visibility and insight to the line of business.

NetOps 2.0 Transformation

Gartner has dubbed the current network operations team as Network 1.0 and predicts that less than 5% of the teams are equipped to handle this new network transformation. It also predicts that by 2020 only 30% will be able to fully realize their potential.
Ideally, NetOps 2.0 begins with identifying the right personnel through assessing individual strengths, weaknesses, motivations, and potential. They should be proficient in both network automation and network analytics:

  • Adopt and Encourage a Process-Driven Culture
  • Orchestrate the Application of Network Automation Technologies
  • Interpret Business Impact of Network Automation and Requirements
  • Take Advantage of Basic Network Scripting
  • Translate Network Configuration Changes to Intent-Based Policy
  • Utilize Network Analytics Data Proactively and Strategically
  • Interpret Business Impact of Network Analytics Requirements
  • Adopt a Proactive Problem Detection and Mitigation Approach
NetOps 2.0 help organizations achieve –
  • Required agility and reduce complexity by building or retraining NetOps teams to embrace a process-driven culture, apply network automation technologies, translate business impact into network automation requirements, and translate network configuration changes to intent-based policy.
  • Proactive network monitoring and optimization by building or retraining NetOps team to utilize network analytics data, to translate business impacts into network analytics requirements, adopt proactive problem detection and mitigation approaches, and translate SLA demands into performance optimization requirements.

Some of the most important evolving skill sets required to fully adopt network automation/ network analytics capabilities through NetOps 2.0 transformation initiative are as below:

  • Ability to integrate automation via multiple tools – As networks move toward increasing programmability, hone skills in network abstraction and scripting.
  • Business-driven – Enhance skills necessary to understand and move towards how the network can serve business demands.
  • Knowledgebase for intent-based policies – Encourage network engineers who create knowledge bases for network policies.
  • Automation-aligned – New automation technologies will need to be utilized, with skills required to create automation scripts and take advantage of increased network programmability.
  • Proactive detection and mitigation – Skills will be required to leverage network data and new tools to process information proactively for problem mitigation.

Leverage GAVS’ Infrastructure expertise

GAVS’ Managed services include end-to-end infrastructure services such as network, that enable flexible support options as well as leveraging cloud & converged infrastructure with a robust governance. Our platform for NOC / Command center is driven by predictive analytics and automation platforms, seamless integration with existing monitoring tools, and intuitive dashboards. Our value proposition is reduction of alerts through predictive analytics, with 40% incidence automated through SMART tool-sets and provide multi-technology stack support.

GAVS’ platform for Network Operation Center (NOC) is a centralized location where IT personnel can directly support the efforts of remote infrastructure monitoring and management software. Businesses gain insight, control, and predictability over their IT infrastructure through our predictive analytics and cloud expertise. They can leverage our Zero Incident Framework™ (ZIF) and GCare (environment performance management) to achieve better performance and business goals.

Edge Analytics for Better IoT Data Analytics

Consider the example of a driver of a smart car about to have a stroke. You can’t wait for the smart car data to upload to the cloud for analysis and then wait for a signal to return to the edge device to direct the proper action. The cloud is too far away to process the data and respond in a timely manner. Every data has a time frame before you can apply analytics, beyond which its value depreciates.

A relatively new approach namely Edge Analytics, addresses these issues. Edge analytics is an approach to data collection and analysis wherein an automated analytical computation is performed on data at a sensor, network switch or other device instead of waiting for the data to be sent back to a centralized data store.

Edge analytics is data analytics in real-time and in-situ or on site, where data collection is happening. It could be descriptive or diagnostic or predictive analytics.

With the growing popularity of connected devices through the evolution of Internet Of things (IOT), many industries such as retail, manufacturing, transportation, and energy are generating vast amounts of data at the edge of the network. For large-scale IoT deployments, this functionality is critical because of the sheer volumes of Data being generated.

It’s a model which is increasingly being rolled out. A recent IDC report for IoT found that by 2018, 40% of IoT data will be stored, processed, analyzed, and acted upon at the edge of the network where it is created.

So Why Edge Analytics?

The answer depends on the situation. It is all about bringing enterprise-class thinking from the cloud to the edge and to everywhere in between. It includes all the components and it requires incorporating enterprise thinking for developing the software for the devices or ‘things’.

Organizations are deploying millions of sensors or other smart connected devices at the edge of their networks at a rapid pace and the operational data that they collect on this massive scale could present a huge problem to manage. Edge analytics offers few key benefits:

  • Reduce latency of data analytics. In many environments such as remote manufacturing environments like oil rigs, aircraft, CCTV cameras, there may not be sufficient time to send data to central data analytics environment and wait for the results to meaningfully impact decisions to be taken on site in a timely manner. It may be more efficient to analyze data at the premises and get results.
  • Scalability of analytics. As the number of sensors and network devices grow, the amount of data that they collect also grows exponentially and it increases the strain on the central data analytics resources that process this huge amount of data. Edge analytics enable organizations to scale their processing and analytics capabilities by decentralizing to the sites where the data is collected.
  • Resolve the issue of low bandwidth environments. The amount of bandwidth needed to transmit the entire data collected by thousands of these edge devices will also grow exponentially with the increasing number of these devices. Many of these remote sites may not even have the bandwidth to transmit the data and analysis back and forth. Edge analytics alleviates this problem by delivering analytics capabilities in these remote locations.
  • It will probably reduce overall expenses by minimizing bandwidth, scaling of the operations and reducing the latency of critical decisions.

Will it replace centralized data analytics?

It is worth noting that edge-based analytics will not replace the centralized data center model. Rather it is an approach which can be used to supplement or augment analytics capabilities in certain situations, such as when insight needs to be acted upon very quickly.

Both can and will supplement each other in delivering data insights and both models have their place in organizations. The only concern is that edge analytics will process and analyze only a subset of data at the edge and only the results may be transmitted over the network back to central offices.

This will result in ‘loss’ of raw data that might never be stored or processed. So, basically edge analytics is acceptable if companies are OK with this data loss. On the other hand, if the latency of decisions (& analytics) is not acceptable as in-flight operations or critical remote manufacturing/energy, edge analytics should be preferred.

Edge analytics is an exciting area within the organizations dealing with Industrial Internet of Things (IIOT) area. Leading vendors are aggressively investing into this fast-growing area especially in specific segments such as retail, manufacturing, energy, and logistics. Edge analytics delivers quantifiable business benefits by reducing latency of decisions, scaling out analytics resources, solving bandwidth problem and potentially reducing expenses.

Analytics Economy Powers Digital Economy

Big data fuels analytics which in turn propels digital transformation to generate business revenue and the cycle continues again. There is a new term going around in the analytics world – Analytics Economy. Just as an economy is driven by decisions taken by the government, organizations and individuals based on market, finances and resources, Analytics economy drives businesses to achieve their goals and business objectives.

Just like other economies, the analytics economy offers innovative ways for organizations to disrupt traditional business models (or be disrupted themselves), but doing so needs realization of value driven from the application of analytics to data.

There is an unprecedented pace of change and the way in which analytics is being utilized by organizations. What really defines the analytics economy is the acceptance and pervasiveness of embedded analytics. Here every insight is a new data point that can be used to speed up innovation and disruption.

In this new economy each insight sparks the next insight and then these insights compound, just like investments. The compounding value that come from sharing data, acting on analytics insights and presenting the result for others to build upon is the ultimate benefit of the analytics economy.

What technology is fueling the analytics economy?

In the not so distant future, technologies like intelligent automation, networked data and ambient analytics will affect the analytics economy.

Intelligent automation

Embedded analytics self-identifies when automation is feasible and when it isn’t. Automation driven by analytics will extend beyond eliminating and automating human tasks. Intelligent automation embeds analytics into digital processes so that the digital processing itself self-identifies when automation makes sense, when it doesn’t and what should be automated.

Networked data

This alters the way data is accessed and utilized. With the potential to solve security and privacy concerns, a distributed data network similar to blockchain could alter the way we store, register and access data. A virtual, distributed data network that is trusted and solves current concerns may redefine how data is used and by whom.

Ambient analytics

Analytical decision points available for business leaders happen without our knowledge or input. Ambient analytics becomes possible when you bring analytics to the data by cleansing, transforming, filtering, and analyzing data at its source.

When data has intelligence as it’s issued, it can be directed from its source to use automatically. That’s true of ambient analytics. The data is clean, relevant and has specific merit as it’s generated. Just as data is everywhere, analytics will be everywhere that data exists.

In a nutshell, to explain these three concepts together, when we can securely network intelligent data, analytics becomes its own network and even drives intelligent automation.

How to Leverage Analytics Economy for Business Growth?

The digital economy is driving every business vertical to push towards an open-ended market where innovations, adoption of technologies and ideas is imperative for surviving the tough competition.

The way to succeed in the analytics economy is by having a consistent approach for anyone to collaborate and take the best actions in a governed, repeatable way. This can happen only when decisions are taken quickly, by the business leaders to create, deploy and refine the analytics applications and repeating the process.

If predictive data analytics is the key to success for outperforming in the market competition, machine learning has been redefining enterprises by solving complex analytics problems by virtue of AI-enabled tools.

This analytics platform should handle a large volume of actions and workload variations, infrastructure changes, and a variety of methods and approaches with precision, accuracy, and relevance.

The analytics platform brings together the existing tools and techniques of your organization to create a trusted, flexible and scalable environment. Measurable and quantifiable results must be available to understand the quality of the actions associated with analytics economy. This forms the basis for ongoing innovation and value.

Enhanced Datacenter Consolidation Forms the Pinnacle for Business Success

By Dhileep Kumar KR, Associate Manager.

Datacenter consolidation is one of the organization’s strategy to reduce operating costs by using more efficient technologies. Some of the consolidation technologies used in datacenters today include server consolidation, physical to virtual migration, storage virtualization, network consolidation, replacing bulk servers with smaller blade servers/ converged infrastructure/ hyper converged infrastructure which leads to better capacity planning and leveraging orchestration tools for process automation.

Datacenter consolidation enables operating expenditure optimization by optimal usage of IT infrastructure resources. Enterprises are turning to hyper converged data center solutions to effectively handle operations with respect to space, power, and resource (hardware, software & Human). Even enterprises are considering Hyper converged solution for Disaster Recovery and BCP initiatives.

The extreme dependency of business on data and system capabilities has put datacenter consolidation center stage and it becomes the key differentiator between enterprise’s success and failures.

Benefits of Data consolidation and its impact on Enterprises:

  • Accommodates future growth: Datacenter consolidation minimizes financial bottleneck by containing infrastructure cost which helps to build a robust system that can accommodate future growth and provides enterprises the scope to invest on product development and market expansion.
  • Optimize business opportunities: Datacenter consolidation helps enterprises to enhance system availability, optimize resource utilization and asset flexibility. It creates a strong IT environment which is flexible, agile and can handle unexpected chances which helps optimize business opportunities.
  • Right investment for future Technology: With consolidated infrastructure, enterprise can reduce more operating cost and enhance security by providing Virtual Desktop infrastructure to its users.
  • Streamlines data operations: Datacenter consolidation helps disaster recovery compliance and auditing functions to become more organized, easier and less error-prone.
  • Improve Security: Datacenter consolidation combined with Identity and Access Management helps to reduce the scope of security failures and provides increased control for IT.
  • Effective business operations: Datacenter consolidation manages expensive aging or expensive in-house datacenters.
  • Manage financial business aspects: Datacenter consolidation helps reduce high operational costs from energy use, old hardware, redundant personnel.
  • Other benefits: Upgrading hardware or software facilities require significant capital investments. Datacenter consolidation reduces this significantly to achieve energy efficiency and sustainability. It helps achieve reliability, connectivity and reduce redundancy that you can’t get in-house.

GAVS’ datacenter offerings cover emerging enterprise requirements which help in migrating and managing geographically dispersed data centers. GAVS’ dedicated datacenter services team along with service management ecosystem provides 24/7 support to its clients’ business processes and helps in smooth transition of datacenter environment. Enterprise can benefit the use of modern hyper-converged infrastructure with zero upfront costs by choosing GAVS’ DCaaS (Datacenter-as-a-service) with easy pay-as-you go model.