• Google Research

Google Research has opened a Quantum Artificial Intelligence Lab with the help of a joint collaboration among the NASA Space Research Association, whose goal is to pioneer research on how quantum computing might help with the help of machine learning and some other computer science problems.  

• IBM

IBM is a trusted partner to help you start the journey of quantum computing and prepare for the modern era of quantum advantage. You can discover some of the use cases, equip your organizations with some of the practical knowledge of quantum skills, and access world-class expertise and technology to advance in the field of quantum computing.

IBM Quantum helps you to be the primary to explore, benefit, and outline from the chop-fast approaching age of quantum computing. As a basically completely different manner of computation, quantum computing might doubtless remodel the companies and societies.

• Intel 

Intel, which is known as one of the best technology companies across the globe, has invested around $50 million in funding to QuTech in the year 2018. During the CES Conference in 2018, Intel also revealed that it had created a 49-QuBit chip called Tangle Lake, one of the most significant innovations ever made in the development of Intel Chip.

• Microsoft

Microsoft, which is another most prominent market leader in the ecosystem of quantum computing. The team of Microsoft has started exploring the benefits of quantum computing in 2018. Moreover, they focused on the design of solutions for use in a fault-tolerant and scalable computing environment. In 2019, Microsoft had revealed that it was researching the area of topical computing. This helps to improve the engineering of quantum states. Microsoft has also made some of the significant steps towards improving the development layer of quantum computing.

• Alibaba Cloud (Aliyun)

Alibaba Cloud, in partnership with the Chinese Academy of Science, has invested in the Quantum computing research by the establishment of Alibaba Quantum Laboratory. They are leading the race of quantum computing in China. Their areas of R&D include the quantum processors, quantum algorithms, and quantum systems.

• D-Wave Solutions

D-Wave Solutions is a company that is specializing in the delivery and development of quantum computing systems. Its quantum computers are highly designed to solve the problems of machine learning, optimization, and sample problems that have information volumes and complexity that overwhelm the ability of conventional computers to derive timely, accurate, and actionable knowledge.

• Lockheed Martin

Lockheed, in collaboration with the University of Southern California, founded the Lockheed Martin Quantum Computation Center. The center is highly focused on harnessing the power of adiabatic quantum computing, in which the issues are encoded into the lowest energy state of a physical quantum system to find the optimum answer to some of the specific questions with many variables.

• Honeywell 

Honeywell is one of the significant pioneers in the field of the quantum computing landscape. The company started its adventure in the year 2014 at the time of practicing in an advanced intelligent research project to investigate the latest technology.

Honeywell focuses more on a concept called trapped ion quantum computing. This approach uses the ion suspended in space to transmit information with the help of movement of those ions.

• Rigetti

Rigetti Computing is a full-stack quantum computing company that develop and manufacture superconducting quantum integrated circuits and package and deploy those chips in a low-temperature environment, and build control systems to perform quantum logic operations on them.

• IONQ

IONQ is a world-leading general-purpose quantum information processor. The unique trapped ion approach, a combination of perfect qubit replication, unmatched physical performance, optical networkability, and highly optimized algorithms to create a quantum computer that is powerful as well as scalable and that will too support a broad way of applications across different segments and industries.

• Amazon Braket

Amazon Braket is a fully managed service that helps you to get started with quantum computing by offering a development ecosystem to design and explore quantum algorithms, run and test them on simulated quantum computers on your choice of different quantum hardware technologies.

• Baidu

Baidu has launched its own Institute for Quantum Computing dedicated to the application of Quantum Computing software and Information Technology.

Professor Duan Runyao headed the Baidu Quantum Computing Institute, who is also the director for the Quantum Software and Information at the University of Technology Sydney.

At the time of launch, Professor Duan revealed that his plan is to make Baidu’s Quantum Computing Institute into a world-class institution within the time period of five years. In the coming five years, it will integrate Quantum Computing into the Baidu business plan.

• Toshiba

Toshiba offers a Toshiba’s quantum key distribution system that delivers digital keys for cryptographic applications on fiber-based computer networks.

Moreover, in the year 2015, the company announced that genome data from Toshiba’s life Science Analysis center was slated to be encrypted by a Quantum communication system.

• 1QB Information Technologies

1QBit is a software company for quantum computers which is having its specialization in developing applications for the finance and banking industry, working with industry partners it produces custom solutions to solve real-life problems exhibiting high degrees of computational complexity.

• Accenture

Accenture Labs is working on the quantum computing ecosystem and collaborating with leading companies such as 1QBit and Vancouver. The company platform enables the development of hardware-agnostic applications that are compatible with boost quantum and classical processors.

• DevOps Doesn’t Work With ITIL Models

 The IT infrastructure library creates seemingly rigid best practices to help organizations create stable, controllable IT operations. DevOps is built around creating a continual delivery environment by breaking down the longstanding operational silos. It would even seem that these two principles are contradictory, but ITIL gets a lot of bad press that it does not deserve. The truth is that ITIL features lifecycle management principles that align naturally with what organizations are trying to achieve through DevOps.

• ITIL is too Rigid for DevOps

The core process models of DevOps can work easily, but some people think that even if you can make the marriage work, it will fall apart because ITIL is so rigid, and DevOps focuses on giving users the flexibility to work in whichever way works best for them. There may be some of the major conflict here, but ITIL has been changing in recent years.

• DevOps Emphasizes Continuous Change

 There is no way around it; you will need to deal with more change and release tasks when integrating DevOps principle into your operations, the focus is placed heavily on accelerating deployment via development and operations integration after all. This perception comes out of DevOp’s initial popularity among web app developers. DevOps for Dummies explained that most businesses will not face the change that is so frequent, and do not need to worry about continuous change deployment just because they are supporting DevOps.

• DevOps Forces Developers to Bailout Operations Teams

 This misconception is often the result of the DevOps deployments that don’t go so well. If your DevOps tools end up building down to production teams complaining that an app is causing compatibility issues and needs to be changed, you are not really doing DevOps correctly. The goal is to get both teams to work constructively to build applications with the production, configuration in mind, and bring development-related knowledge into the final push to release.

• DevOps Eliminates Traditional IT Roles

If in your environment of DevOps, your developers suddenly need to be good system admins, change managers, and database analysts, something went wrong. DevOps, as a movement help to eliminates traditional IT roles, will put too much strain on workers. The objective is to break down collaboration barriers, not ask your Developers to do everything. Specialized skills play a major role in effective support operations, and traditional roles are valuable in DevOps.

• Prediction

As the global human population grows and continues to interact with animals, other opportunities for the viruses that originate in animals could make the jump from humans and spread. India has seen this in recent years, from the recent SARS and MERS viruses to new firms of the flu and even in the 2018 Ebola crisis in West Africa, where it was founded and discovered that the Ebola outbreak resulted from a toddler interacting with bats in a tree stump.

Government and public health officials can use this data to be proactive and take steps to prevent these kinds of outbreaks – or at a minimum, do a better job preparing for them.

• Detection

When any of the unknown viruses make the jump to humans, time becomes a precious resource. The quicker a disease outbreak is detected, the sooner action can be taken to stop the spread and effectively treat the infected population. AI can help here, as well.

• Response

After a disease event is identified, making informed decisions in a timely manner is critical to limiting the impact. AI can integrate travel, population, and disease data to predict where and how quickly a disease might spread.

Additionally, using AI to predict disease spread, it can improve the application of current treatment and accelerate the time it takes to develop new treatments. Radiologists are also using the AI deep learning – machine learning systems that learn from experience with large data sets, to make better treatment decisions based on medical imaging.

• Recovery

Once an outbreak is contained or has ended, governments and global health organizations must make decisions about how to prevent or limit outbreaks in the future. Machine Learning can be used here too by simulating different outcomes to test and validate policies, public health initiatives and response plans.

Moreover, AI permits policy makers and health leaders to conduct a host of “what-if” analyses that will enable them to make data-driven decisions that have an increased likelihood of being effective.

• Agile and DevOps will increase strategic collaboration between technology and business functions

Agile and DevOps are grassroots movements that started within the latest technology. In many cases, moreover, Agile, and DevOps have not been able to break out of the technology. On the other hand, Agile has been adopted in some other functions, including human resources, procurement, finance, and marketing.

Moreover, this does not seem to have helped the technology community join forces with their colleagues in these other functions. Just because of the competitive pressure digital is putting on organizations, we will start to see more collaboration across functions with agile as the conversation starter!

To speed this up, encourage your teams to talk to people from different functions about their experience with the help of agile methods. Questions that can help break the ice include the How are you doing agile? What are you doing? What is changing for you? What issues are you facing? How could we work together to help to address some of these issues? These questions will help people from different functions get to know each other as people and coloration will improve.

• Learning, training and improving DevOps skills will become an organizational priority              

DevOps requires trying out some of the new latest technologies. Recent research revealed that around 50% of survey respondents prefer to hire into their DevOps teams from within their organization. Moreover, many companies do not have the necessary skills to do this, and hiring new people might not be possible due to the budget restraints.

One approach is to create an internal training university. This is what the courier delivery services firm FedEx did. The company knew it did not have proper skills in its talent pool of engineers, leading its CIO to initiate the FedEx Cloud Dojo, which teaches its own engineers modern software development and latest technologies and functions as a university for FedEx. The University has reskilled more than 25000 software programmers.

Organizations that want to use the DevOps to help advance their digital transformations must make drastic improvements in training, improving, and learning skills that are essentials to DevOps.

• Both the Upskilling and cross-skilling will lead to the rise of the T-shaped professional

Recognizing the strained talent market, organizations and individuals will invest heavily in upskilling and cross-skilling in order to meet accelerating demand for new skills. While all the IT professionals will need to become more cross-domain competent, developers, in particular, will have to add new breadth to their skills portfolio in areas such as containerization, AI, infrastructure, testing, and security.

There will also be a stronger emphasis on core skills such as customer experience, empathy, and collaboration. Silos are starting to come down in many areas, and the need for everyone to become T-shaped with the depth and breadth of knowledge will become necessary to enable and support innovation.

• Tool fatigue will worsen before it gets better

The number of tools and frameworks in technology is daunting. The challenges IT team face to understand, interconnect, and apply much of these will continue, and in 2020, there is no real resolution in sight.

The competition in the DevOps toolchain is fierce, and flourishing; events and conferences are filled with the latest technology and best practices session. Blogs, books, and videos are flooding email inboxes, with thought leaders are eager to share their expertise. Moreover, more open-source tools are emerging from integrating some of the new technologies.

To survive the challenge of complexity, it is becoming increasingly essential to have an automation strategy. As you work to develop this, don’t lose sight of the actual issue you are trying to solve and how you can get there by using your own teams.

• Security champion programs form the bedrock of DevSecOps

One of the most popular DevOps predictions is that there is a growing need for organizations to shift security left in the development lifecycle by making that part of a comprehensive DevSecOps strategy. At a practical level, one of the most prevalent tactics people will use to execute on DevSecOps in large organizations will be increasing more security champions programs.

• Introduction of Low-code Tools

Even in the current times, DevOps automation helps in streamlining the processes relating to the CI/CD. Developers have to define the essential part of the pipeline with the YAML files, job specifications, and some other intensive tasks.

It is known that DevOps primarily lay emphasis on accelerating the entire process. Thus one can expect that one of the significant trends in 2020 would be the introduction of low code tools. The low code tools will play a major role as they will help to define the pipeline with a mere point and click UI. The new tool will assist enterprise software development services to make optimum use of technologies. It will help in creating as well as maintaining pipelines, policies, and helm charts.

• Kubernetes

One of the chief DevOps latest trends revolves around Kubernetes. The portable and reliable open-source system was extensively used in the year 2019. Since its inception in the year 2015, it has gained a fair share of attention in the DevOps arena. This year saw the growth of some of the core Kubernetes APIs. In fact, its adoption is still growing today. It is likely to continue in the future as well.