Top Quantum Computing Companies to look out for in 2020

Top Quantum computing companies to look out for in 2020



Quantum Computing was the unexpected highlight of India’s Union Budget 2020, when Nirmala Sitharaman, the Finance Minister, allocated INR 8000 crore towards the National Mission on the applications of Quantum Computing in India.

India also has a major interest in Quantum Computing. Therefore, we have enlisted the top Quantum Computing Companies to look out for in 2020.

  • 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.



5 common misconceptions about DevOps

5 Common misconceptions​ about devops

DevOps is a transformative operational concept designed to help the development and production team coordinate operations more effectively and efficiently. In theory, DevOps software is designed to be more focused on cultural changes that stimulate collaboration and efficiency, but the focus often ends up being placed on daily tasks, distracting organizations from the major core principles – and value – that DevOps is built around.

This has even led to many technology professionals developing misconceptions about DevOps because they have been part of the deployments- or know people who have been involved in DevOps plans – that strayed from the core principles of the movement.

This struggle is understandable. Some of the cultural changes are abstract measures that, when delivered effectively, lead to process innovation and significant value creation. That is the aim of DevOps. Moreover, not everybody will buy into cultural adjustments and be comfortable with the idea of adjusting how they work. This even leads organisations to respond with strict procedural guidelines that sometimes detract from the results of movements like DevOps.

So, here are some of the common misconceptions that emerge from this kind of environment include:

  • 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.

How AI is being used globally to fight coronavirus?

How AI is being used globally to fight coronavirus?

As of 10th April, 6500+ confirmed cases had been reported in India. While the government across the globe are working in collaboration with the local authorities and health care providers to track, respond to and prevent the spread of the disease that is being mainly caused by the coronavirus, health experts are turning to advanced analytics and AI to augment current efforts to prevent further infection.

Data and analytics have proved to be useful in combating the spread of the disease, and the federal government has access to the ample data on the India population health and travel as well as the migration of both the domestic and wild animals – all of which can be useful in predicting and tracking disease trajectory.

Machine learning ability to consider a large amount of data and offer insights can lead to a deeper knowledge about the diseases and enable India health and government officials to make better decisions throughout the entire evolution of an outbreak.

Government health agencies can use AI technology in four ways to limit the spread of the COVID-19 and some other diseases:

  • 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.

Top DevOps Trends that Will Matter the most in 2020

Top DevOps Trends that Will Matter the most in 2020

With every passing year, our understanding of DevOps deepens – leading to new techniques, tools, and processes for bringing developers and IT operations closer together. And, as security continues to become more tightly integrated with development and lifecycles and operations workflows. But as we head into 2020, our sentiments are always changing, so it is a great time to reflect on the way people are looking at DevOps, popular trends, and common questions coming up across the industry.

So, here are some of the DevOps Trends that Will Matter the most in 2020:

  • 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.

Top 5 DevOps Trends to look out for 2020

Top 5 DevOps Trends to look out for 2020



The DevOps world moves fast. The mission to build, test, and release software as reliably and quickly as possible produced constant change and innovation. What trends can we expect through 2020 in the DevOps? What challenges and opportunities will define the field this year?

  • Maxed out DevOps teams will need more automation

This might seem to look like an odd place to start. Moreover, within the DevOps, there is an increasing focus on the human environment of digital systems delivery and a rise in the understanding that employee experience leads to customer experience.

Rani Osnat, vice president of strategy for Aqua Security, thinks 2020 may be the year that DevOps teams finally start to max out within many organizations: “DevOps teams will find themselves taking on more and more responsibilities, including more security and quality automation… The solution,” Osnat believes, “lies in automating practices into the DevOps processes and toolchain, enabling a more integrated ‘detect early, fix fast’ environment.”

  • Low-code development will continue to rise in popularity

To bring out more opportunities for the innovation, chief information officers have increasingly explored using the low to no-code development tools. More people now have the ability to take part in software and app development, which expedites the overall process.

In terms of the testing part, this requires additional nuances in assessing software, more test cases, and wider coverage. This demand will continue through 2020, as DevOps teams will need to show faster and faster feedback in testing.

  • IP protection and security will become a key issue

As predicted by the Enterprise IT strategies, cybersecurity will continue to be a major issue in 2020, driving more companies to pay strict attention to their compromisable date. Stolen user data has been a topic of a bunch of headlines this year.

IP security and protection is a vital, organization-wide issue; DevOps teams should expect to have to pay more and more attention to the issue via 2020.


  • AI and ML will even be going to influence skill set requirements

Industry experts predict that, at the time of 2020, AI and Machine Learning will become an ever more integral part of test creation, execution, and automation. The shift will mean that skill set requirements have to change, requiring more data and analytics experience and more knowledge in data science and deep learning within the software testing jobs. DevOps teams that stay ahead of this curve will be the ones that thrive.

  • The CI/CD toolchain will need CO more and more

Through 2020, the overall speed of the DevOps will pick up. This will drive a demand deeper teamwork across the departments and a need to blend skill sets and low code technology to make sure continuous deployment and testing.

As apps get more complex, DevOps will require the help of continuous optimization if they are to minimize the cost and maximize the performance of the deployed applications and software. Even a 5-container application can have trillion of basic resource and parameter permutations, and sp finding the right combination of cost-effectiveness and performance will need the unique capabilities of AI and ML.



7 Industries Using AI in 2020

7 Industries Using Artificial Intelligence (AI) in 2020

Artificial Intelligence and Machine Learning have a rapidly growing presence across the globe today, with applications ranging from heavy industry to education. From streamlining operations to informing better decision making, it becomes clear that this technology has the potential to truly revolutionize the way the world works each and every day!

While AI and ML can be applied to almost each and every sector, once the technology is sufficiently advanced, there are many other fields that can reap the benefits of AI now or what will happen soon. According to a panel of members of the Forbes Technology Board, here are the seven industries that are revolutionizing by AI.

  • Cybersecurity

The surface of the company attack was very large. There are countless permutations and combinations where the enemies can attackers. It is very difficult for organizations to analyze and improve their security posture. With its power to bring complex reasoning and self-learning by automated means on a large scale, AI will be a game-changer in the way we increase the resilience of our virtual world.

  • Manufacturing

AI in the world of manufacturing has unlimited potential. From preventive maintenance to human tasks automation. AI will enable more efficient jobs that are more prone to errors and have higher quality. Some of the new initiatives from technology giants such as Microsoft AI and leading small companies such as AtBot will revolutionize AI for all the information workers.

  • Health Care

Health services just started their AI journey. The computer vision against the X-rays shows promise to help show disease; neuro-linguistic programming shows promise in drug safety. Machine Learning shows promise to find patterns in a population. After we reach the point of true information interoperability, supporting the safe exchange of health data, all these promises will join forces to become a breakthrough for patients.


  • Construction

The construction industry has long served by the software and technology sector. Many new startups use AI in a big way to take the construction industry tomorrow. Bringing AI and Machine Learning into this industry will make the construction process faster, cost-effective, and safer by better reducing human errors and utilizing big data.

  • DevOps and Cloud Hosting

AI started making a sign at the DevOps. At present, Amazon has launched machine learning for its Elastic Compute Cloud machines, which applies to auto-scaling predictive instances. Other cloud vendors are following some of the similar technologies.

In the coming ten years, we can see the same thing being applied to bigger things such as infrastructure provision and code dissemination.

  • Business Intelligence

Companies are overwhelmed by the volume of data which is being generated by their customer, processes, and tools. They found some of the traditional business intelligence tools failed. Spreadsheets and dashboards will be replaced by the AI-powered tools that explore data, make recommendations, and find insights automatically. These tools will change the way companies use data and make decisions.


  • Logistics and Supply Chain

According to the report, AI will account for around $15.7 trillion to the global economy by 2030, and this has serious implications for the supply and logistics sector.

The sector is embracing AI in its processes because the tool promises to solve the inherent complexities of global logistics. If implemented correctly, AI can enable companies to make agile and smart decisions while foreseeing problems in advance.

AI can streamline day to day procurement jobs via automation and augmentation. For routine tasks, chatbots can speak with suppliers, place purchasing orders and answer internal questions and file documents as well.

Top 10 Automation Testing Tools

Top 10 Automation Testing Tools

With an increase in the demand and adoption of DevOps and Agile methodologies, the software testing industry is undergoing a paradigm shift. Test Automation is gaining lots of traction as there is very little time left to perform testing. The automation testing tools offer not only intelligent automation but also provide smart analytics to address any testing challenges.

We have listed top automation testing tools that are mostly used by QA professionals. Here is a list of top 10 automation testing tools and frameworks that can improve your software testing tools outcomes significantly:

Ranorex Studio

The foremost entry into the software testing tools list is the Ranorex Studio. More than 4000 companies all across the globe use Ranorex Studio for its all-round functionality. Ranorex Studio is the ideal solution for web applications, desktop applications, and mobile app testing. Beginners could find Ranorex Studio very helpful due to its codeless nature.

QMetry Automation Studio

The next entry among the automation testing tools is QMetry Automation Studio. QAS is the leading software testing tool that is created on Eclipse Integrated Development Environment(IDE) and notable open sources frameworks such as Selenium and Appium. QAS offers better organization, efficiency, and reusability for the purpose of automation tasks.

Katalon Studio

Katalon Studio is one of the automated testing tools for web applications that also encompasses API and mobile app testing. The comprehensive ranges of feature in the Katalon Studio, such as creating test cases, result reporting, execution of tests, and recording actions. Moreover, you could also avail features such as reporting results, generation of test scripts, and integration with other tools across the software development life cycle.


Squish is one of the new automation testing tools, which is having its client’s base ranging from 3000 companies all across the globe. The main features of this tool include comprehensive supports for all major GUI technologies, test script recording, and limited reliance on visual appearance or the screenshots. Moreover, it is a reliable option, along with the major server-side automation testing tools.


LEAPWORK automation platform is also one of the popular additions among the renowned automation testing tools. The capability of the LEAPWORK automation platform is suitable for improving the automation of tests and processes through various knowledge’s. It helps users to build and execute automation cases from the starting date with a designer relying on the flowcharts.


TestComplete is also one of the formidable names among the automation testing tools. The tool helps in building and executing functional UI tests with the support of the effective record and replay features. TestComplete also provides the functionality of scripting tests in languages such as VBScript, JavaScript, and Python.


Experitest is one of the renowned names among the automated testing tools for cross-browser and mobile app testing. The key features of the Experitest include the facility of support for around 2000 real browsers and mobile devices. It also offers compatibility with open source tools like the Appiuum and Selenium, thus ensuring better inter-platform testing.

Testsigma is a pioneer in this list of automation testing tools, which is ideal for the emerging Agile and DevOps market. It relies on the AI for test automation, which offers a reliable test automation ecosystem and addressing the continuous delivery requirements. The approach towards a market-driven automated testing tool is very interesting and could be the indicator of long term prospects.


Qualibrate is a contemporary solution for the test automation that can transform the approaches for the documentation and testing web application and SAP. Moreover, it also offers the benefits of creating training and documentation for the end-users. The design of Qualibrate primarily aims at increasing the simplicity and accessibility of the test automation for non-technical users.


Worksoft is presently one of the reliable automation tools in the industry, especially for the DevOps and Agile, continuous automation platforms. It offers support for the cloud and web applications having pre-defines, unique optimizations for more than 250 generally used web and cloud-based applications.

5 Most successful Indian women in Tech 2020

5 Most successful Indian women in Tech 2020

Women’s over the so many years fought oppression and made their places in the world, which includes the world of women in tech, which is intensively male-oriented. Women are slowly and steadily gaining lots of traction in this industry, with some of the prominent icon surfacing’s. Indian women are not behind in any of their western counterparts in doing so to and so to celebrate this women’s day. So, here is the list of top 5 Indian women in tech 2020.

Debjani Ghosh - President NASSCOM

The NASSCOM is a trade association of Indian Information Technology and Business Process Outsourcing industry. Established in the year 1998, NASSCOM is a non-profit organization. NASSCOM organizes the Indian leadership Forum. It offers a platform to the developing companies to network and presents their product. She firmly believes in the power of technology in enhancing lives and livelihoods, using it for the societal good. She wants an essential figure in the development of the ‘Think Digital, Think India’ strategy to support India’s digital capabilities as an enabler of inclusive growth and development. As the president of NASSCOM, her goal is to work towards the more prominent innovation and skilling that will enable companies and individuals to use disruptive technologies. Debjani has a bachelor’s degree in political science from Osmania University in Hyderabad, India, and an MBA degree from the SP Jain Institute of Management and Research in Mumbai, India.

Roshni Nadar Malhotra - CEO of HCL Corporation

Ranked 54th on the list of Forbes World 100 most influential women’s list, Roshni Nadar is famous women in tech icon. She is the current CEO and executive director of the HCL Corporation, along with the vice-chairperson of the HCL Technologies, trustee of the Shiv Nadar Foundation, and the Founder and Trustee of The Habitats Trust. Her own Trust, The Habitats, works towards protecting natural habitats and their naturally existing species. She is active in promoting the youth as the next gen of leaders and is also a part of the Young Global Leaders, which is an initiative of the World Economic Forum. In 2015, she was felicitated with the World Most Innovative People Award for the Philanthropic Innovation by The World Summit on the Innovation & Entrepreneurship in partnership with the UN. She is an Alma Mater of the prestigious Kellogg School of management from where she completed her Master’s in Business Administration.

Neelam Dhawan - Director, ICICI Bank

Neelam Dhawan is a famous women in tech to the IT-industry with around 35 years of experience in companies like Microsoft, HP, HCl, IBM. She was the MD and leader of the country businesses for one year of Microsoft and then for HP India. At the time of her leadership, HP launched their “Omen” series of gaming laptops, which shows her farsightedness and problem-solving capabilities as she considered the declining PC shipment across the globe. She completed her graduation in Economics from the St. Stephen’s College Delhi and her MBA from the University of Delhi.

Deepa Madhavan - Director, product and Engineering at, PayPal

With a strong belief for women in technology empowerment and a two-decade-long track record, Deep Madhavan is an influential figure in the world of technology space. She, as of now, managed the global data governance and regulatory organization and regulatory data function for the mobile wallet giant Paypal. She has also led the technology solution for the Data Privacy for PayPal and is also responsible for a dynamic set of regulatory data solutions. Before PayPal, she worked for companies like the PennWell Corp, Deloitte, and Optimal Technologies. She has a Bachelor’s in Economics and a Master’s in Computer Science.

Vanitha Narayanan - Managing Director at IBM

Vanitha Narayana, is a women in tech jobs that has a history with IBM that continues to date with her bring the MD of IBM-Verizon relationship. She was the chairman of IBM India from the year 2017 to 2018, and before that, she was the MD of IBM India and Regional General Manager for India and South Asia. She spearheaded IBM transformational initiatives in India and Spreading its wings in India. She completed her MBA from the Madras University and an MBA in information systems from the University of Houston.

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