Article | August 12, 2020
Today’s digital innovation era coupled with increased remote work requirements over the last several months has put an increased focus on IT teams to rapidly innovate to support business needs, all while working remotely themselves. To satisfy the IT challenges of rapid provisioning, while maintaining centralized control, there has been an increased adoption of public clouds like AWS, Azure, GCP and others. IT teams need to be able to extend their existing on-premises environments and skill sets to public clouds of their choice and take advantage of various public cloud services while maintaining a unified infrastructure management plane. Such a solution is not just a typical hybrid solution or a multicloud solution. It needs to rather be a true Hybrid & Multicloud solution.
Article | August 12, 2020
The coronavirus outbreak in China has grown to a pandemic and is affecting the global health & social and economic dynamics. An ever increasing velocity and scale of analysis — in terms of both processing and access is required to succeed in the face of unimaginable shifts of market; health and social paradigms. The COVID-19 pandemic is accompanied by an Infodemic. With the global Novel Coronavirus pandemic filling headlines, TV news space and social media it can seem as if we are drowning in information and data about the virus. With so much data being pushed at us and shared it can be hard for the general public to know what is correct, what is useful and (unfortunately) what is dangerous. In general, levels of trust in scientists are quite high albeit with differences across countries and regions. A 2019 survey conducted across 140 countries showed that, globally, 72% of the respondents trusted scientists at “high” or “medium” levels. However, the proportion expressing “high” or “medium” levels of trust in science ranged from about 90% in Northern and Western Europe to 68% in South America and 48% in Central Africa (Rabesandratana, 2020).
In times of crisis, like the ongoing spread of COVID-19, both scientific & non-scientific data should be a trusted source for information, analysis and decision making. While global sharing and collaboration of research data has reached unprecedented levels, challenges remain. Trust in at least some of the data is relatively low, and outstanding issues include the lack of specific standards, co-ordination and interoperability, as well as data quality and interpretation. To strengthen the contribution of open science to the COVID-19 response, policy makers need to ensure adequate data governance models, interoperable standards, sustainable data sharing agreements involving public sector, private sector and civil society, incentives for researchers, sustainable infrastructures, human and institutional capabilities and mechanisms for access to data across borders.
The COVID19 data is cited critical for vaccine discovery; planning and forecasting for healthcare set up; emergency systems set up and expected to contribute to policy objectives like higher transparency and accountability, more informed policy debates, better public services, greater citizen engagement, and new business development. This is precisely why the need to have “open data” access to COVID-19 information is critical for humanity to succeed. In global emergencies like the coronavirus (COVID-19) pandemic, open science policies can remove obstacles to the free flow of research data and ideas, and thus accelerate the pace of research critical to combating the disease. UNESCO have set up open access to few data is leading a major role in this direction. Thankfully though, scientists around the world working on COVID-19 are able to work together, share data and findings and hopefully make a difference to the containment, treatment and eventually vaccines for COVID-19.
Science and technology are essential to humanity’s collective response to the COVID-19 pandemic. Yet the extent to which policymaking is shaped by scientific evidence and by technological possibilities varies across governments and societies, and can often be limited. At the same time, collaborations across science and technology communities have grown in response to the current crisis, holding promise for enhanced cooperation in the future as well.
A prominent example of this is the Coalition for Epidemic Preparedness Innovations (CEPI), launched in 2017 as a partnership between public, private, philanthropic and civil society organizations to accelerate the development of epidemic vaccines. Its ongoing work has cut the expected development time for a COVID-19 vaccine to 12–18 months, and its grants are providing quick funding for some promising early candidates. It is estimated that an investment of USD 2 billion will be needed, with resources being made available from a variety of sources (Yamey, et al., 2020).
The Open COVID Pledge was launched in April 2020 by an international coalition of scientists, lawyers, and technology companies, and calls on authors to make all intellectual property (IP) under their control available, free of charge, and without encumbrances to help end the COVID-19 pandemic, and reduce the impact of the disease. Some notable signatories include Intel, Facebook, Amazon, IBM, Sandia National Laboratories, Hewlett Packard, Microsoft, Uber, Open Knowledge Foundation, the Massachusetts Institute of Technology, and AT&T. The signatories will offer a specific non-exclusive royalty-free Open COVID license to use IP for the purpose of diagnosing, preventing and treating COVID-19.
Also illustrating the power of open science, online platforms are increasingly facilitating collaborative work of COVID-19 researchers around the world. A few examples include:
1. Research on treatments and vaccines is supported by Elixir, REACTing, CEPI and others.
2. WHO funded research and data organization.
3. London School of Hygiene and Tropical Medicine releases a dataset about the environments that have led to significant clusters of COVID-19 cases,containing more than 250 records with date, location, if the event was indoors or outdoors, and how many individuals became infected. (7/24/20)
4. The European Union Science Hub publishes a report on the concept of data-driven Mobility Functional Areas (MFAs). They demonstrate how mobile data calculated at a European regional scale can be useful for informing policies related to COVID-19 and future outbreaks. (7/16/20)
While clinical, epidemiological and laboratory data about COVID-19 is widely available, including genomic sequencing of the pathogen, a number of challenges remain:
1. All data is not sufficiently findable, accessible, interoperable and reusable (FAIR), or not yet FAIR data.
2. Sources of data tend to be dispersed, even though many pooling initiatives are under way, curation needs to be operated “on the fly”.
3. In addition, many issues arise around the interpretation of data – this can be illustrated by the widely followed epidemiological statistics. Typically, the statistics concern “confirmed cases”, “deaths” and “recoveries”. Each of these items seem to be treated differently in different countries, and are sometimes subject to methodological changes within the same country.
4. Specific standards for COVID-19 data therefore need to be established, and this is one of the priorities of the UK COVID-19 Strategy. A working group within Research Data Alliance has been set up to propose such standards at an international level.
Given the achievements and challenges of open science in the current crisis, lessons from prior experience & from SARS and MARS outbreaks globally can be drawn to assist the design of open science initiatives to address the COVID-19 crisis. The following actions can help to further strengthen open science in support of responses to the COVID-19 crisis:
1. Providing regulatory frameworks that would enable interoperability within the networks of large electronic health records providers, patient mediated exchanges, and peer-to-peer direct exchanges. Data standards need to ensure that data is findable, accessible, interoperable and reusable, including general data standards, as well as specific standards for the pandemic.
2. Working together by public actors, private actors, and civil society to develop and/or clarify a governance framework for the trusted reuse of privately-held research data toward the public interest. This framework should include governance principles, open data policies, trusted data reuse agreements, transparency requirements and safeguards, and accountability mechanisms, including ethical councils, that clearly define duties of care for data accessed in emergency contexts.
3. Securing adequate infrastructure (including data and software repositories, computational infrastructure, and digital collaboration platforms) to allow for recurrent occurrences of emergency situations. This includes a global network of certified trustworthy and interlinked repositories with compatible standards to guarantee the long-term preservation of FAIR COVID-19 data, as well as the preparedness for any future emergencies.
4. Ensuring that adequate human capital and institutional capabilities are in place to manage, create, curate and reuse research data – both in individual institutions and in institutions that act as data aggregators, whose role is real-time curation of data from different sources.
In increasingly knowledge-based societies and economies, data are a key resource. Enhanced access to publicly funded data enables research and innovation, and has far-reaching effects on resource efficiency, productivity and competitiveness, creating benefits for society at large. Yet these benefits must also be balanced against associated risks to privacy, intellectual property, national security and the public interest.
Entities such as UNESCO are helping the open science movement to progress towards establishing norms and standards that will facilitate greater, and more timely, access to scientific research across the world. Independent scientific assessments that inform the work of many United Nations bodies are indicating areas needing urgent action, and international cooperation can help with national capacities to implement them. At the same time, actively engaging with different stakeholders in countries around the dissemination of the findings of such assessments can help in building public trust in science.
Article | August 12, 2020
In today’s world, everyone and everything needs an expert’s work. Every sector and organization thrives to achieve perfection for themselves and their customers. But with the evolving scenario and new technologies emerging, perfection needs outsourcing. On that account, every organization is building its services to provide other organizations with managed services.
In simple words, managed services are the need of the hour. They have been around for a pretty long time; however, the benefits of managed services have proved their efficiency in the past few years.
Managed services are not limited to IT but provide services from supply management to call centers because of its optimal efficiency and organizational performance. This goes for the IT and non-IT sectors as well.
Every organization comprises of an IT department. But what happens when the IT department is involved in solving the technical issues of the organization, rather than focusing on their core work? The business goes haywire resulting in more investment than ROI.
In the past few years, every business has realized the importance of managed services. As a result, the managed services market’s global business value, which was valued at US$185.98 billion in 2019 is estimated to reach US$356.24 billion by 2025. And this is the result of the benefits of managed services.
What are Managed Services?
In the post-Covid era, almost all businesses are relying on their IT infrastructure to keep them going. Technology is the need of the hour to assure the best efficiency and gain maximum profits. But an in-house team to manage all the IT work and the infrastructure from servers to networks costs a lot. This is a huge blow to the resources especially for start-ups and small to medium-sized businesses.
This is where managed services come to the rescue. Managed services providers have the expertise and infrastructure to ensure that your network administration runs perfectly well. From data backup to security, they take care of everything required for IT support.
The benefits of managed services can highly be availed by start-ups and small to medium scale businesses. Implementing managed services provides them with the latest infrastructure and updated technology at nominal costs.
As said earlier, managed services can be outsourcing to any part of the business, but IT managed services play a significant role these days. Thus, we will focus on the benefits of managed services related to IT.
Benefits of Managed Services
Managed services simplify your IT management. They have abolished the break-fix method and paved the way for regular and consistent service. We would not wait for something to break and then repair it while wasting resources. Managed services assure that there is no break or downtime in your IT system. Whether you have a start-up or a multinational company, the benefits of managed services make sure that you focus on the things that matter the most.
Here are the top 5 benefits of managed services for your business.
Managed services lower the IT costs incredibly. Lots of dollars are spent hiring and training the IT staff, plus the in-house infrastructure costs a fortune. In addition, the maintenance of the equipment and the retention of the staff can create financial issues in the organization. Thus, availing IT managed services will widen your resource base.
You can put your resources to use in the right place and avail the best IT support services at nominal costs.
Your IT services are streamlined and managed by a single provider. It helps to increase and decrease the services according to your demand and supply in the market. In addition, the monthly or yearly subscription plans will help keep your budget as planned.
Minimum or No Downtime
It is estimated that network downtime can cost a business almost US$5600 a minute. So, now you can take into account how the benefits of the low cost of managed services help your business.
Server failures, machine malfunctioning, electrical disruptions, or unintentional human errors can cause downtime. However, managed services can cut down downtime or even make sure that it does not occur.
Their proactive approach to the maintenance of the system through remote monitoring and management ensures business continuity.
An Expert’s Approach
Technologies to a managed service are like solutions to every problem. Their in-depth knowledge, state-of-art infrastructure, and updated technologies guarantee top-notch services and support.
An in-house IT service may or may not be able to find solutions to all the technical hurdles. Plus, their training can be expensive and time-consuming. So instead of wasting resources and trying to hit the target in the dark, it is better to avail specialized services. These services can be used according to your requirements.
Thus, the benefits of managed services include expert IT services according to your cost, time, and project requirements.
Security & Compliance
These reasons to use managed services stand out more prominently than others. For instance, even if your company data is accessed by a third party, then an authenticated service provider will regulate to keep all the information secure. Plus, they update the system on a timely basis to keep it safe from security threats and breaches.
A managed service provider ensures that your organization is up to date with the required compliances and audits. This saves you from violating data regulations that you may be unaware of. The trusted service provider conducts regular audits and provides system reports while assuring your system is updated with the current technology.
Along with cost savings, the benefits of managed services include scalability. Scalability saves your resources, time and assures that your employees perform the tasks that they are hired for.
When you hire a managed service provider, you can scale the acquired services according to your demands. For example, during holiday seasons, when there is increased demand, you can upscale your services, and at the end of the season, you can revert to the original requirements.
Scalable solutions allow you to adapt to rapidly changing market conditions while assuring productivity, system availability, and minimal or no downtime.
How to Choose the Right Managed Service Provider?
The benefits of managed services are totally worth every penny you spend. But it would help if you were extra careful about choosing the provider. Look systematically at the managed services model of the provider and decide. You need an extremely trustable and recognized managed service partner to manage your services.
Consider the below factors while deciding.
24X7 customer service
Total commitment & flexibility
Single point of contact
Continuous remote monitoring
If the managed service provider fulfills the above considerations and more, you know you have made the right choice.
Have an Open Approach to Managed Services
You may have a list of the pros and cons of managed services. But we are confident that the pros outgrow the cons.
The demand for managed services has surged in the pandemic as businesses are running efficiently even in remote conditions. All thanks to these services, you can now easily utilize managed services for seamless, secure connections and maximum ROI.
Frequently Asked Questions
What is the value of managed services?
Managed services are economical for an organization in terms of time and cost if you compare recruitment or involvement of in-house staff and infrastructure. They provide maintenance, regular reports, minimal or no downtime, and expert security for your systems.
Do I need IT managed services?
Whether you are a start-up, small to medium-sized business, or a multinational company, you need IT managed services. We all know IT services demand expensive training and infrastructure, and if there is downtime, it costs huge losses to the businesses.
As a result, availing these services ensures productivity, maximum ROI, and reliable IT operations with minimum investment.
How do you explain managed services?
Managed services are processes or tasks that are outsourced to a service provider who handles them exclusively. They improve operations, cut expenses and increase the productivity of the organizations.
Managed services let you focus on your core business while your other processes are outsourced efficiently and securely.
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"text": "Managed services are economical for an organization in terms of time and cost if you compare recruitment or involvement of in-house staff and infrastructure. They provide maintenance, regular reports, minimal or no downtime, and expert security for your systems."
"name": "Do I need IT managed services?",
"text": "Whether you are a start-up, small to medium-sized business, or a multinational company, you need IT managed services. We all know IT services demand expensive training and infrastructure, and if there is downtime, it costs huge losses to the businesses.
As a result, availing these services ensures productivity, maximum ROI, and reliable IT operations with minimum investment."
"name": "How do you explain managed services?",
"text": "Managed services are processes or tasks that are outsourced to a service provider who handles them exclusively. They improve operations, cut expenses and increase the productivity of the organizations.
Managed services let you focus on your core business while your other processes are outsourced efficiently and securely."
Article | August 12, 2020
Reveal makes extensive use of AI models. Generally, an AI model is a software program that has been trained on a set of data to perform specific tasks like recognizing certain patterns. Artificial intelligence models use decision-making algorithms to learn from the training and data and apply that learning to achieve specific pre-defined objectives.
Reveal offers a Model Library which consists of a collection of pre-existing models you can use straight out of the box, extend or adapt to suit your specific needs, or stack and pack to achieve a larger objective. We give you the ability to create your own AI models, which you can use for your own purposes as well as make available to others via our Model Marketplace. We also will work with you to create custom models such as the ones that drive DLA Piper's Aiscension and those used by Epiq in its new AI Model Library program.