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Top 5 DevOps Trends to look out for 2020

Top 5 DevOps Trends to look out for 2020

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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.

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By priyanka

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.

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By priyanka

Use cases of Blockchain in cybersecurity

Use cases of Blockchain in cybersecurity

The collection of data and private information has been at a constant upward trend, and the value has crossed that of oil’s. These never fathomed a decade ago; events have resulted in cybersecurity threats being on the rise. In the year 2019 alone, governments, global enterprises, universities, and power companies have become victims of well-planned and elaborate hacks. It has become so much of an alarming concern that 75% of the CEOs of global giants plan on acquiring companies that handle cybersecurity or at least put that acquisition on priority.

Blockchain has the potential to be the latest technology that can aid in shielding businesses and some other entities against cyber-attacks. So, let us discuss the use cases where blockchain can help in this endeavor.

  • Decentralized Storage Solutions

As we talked about in the beginning, data is becoming more valuable than oil, and it is not a surprise that businesses are accumulating customer data to make their marketing more effective. Anything that is so lucrative becomes a prime target for hackers. Since all the data is being stored in one place, all that a hacker needs to do is find a backdoor to that particular place. This makes all the information available for those with malicious intent to use them for anything that they would want to.

 

  • Internet of Things Security

It is an unwritten rule among the hackers that the best way to gain access to the network or system is by exploiting the weakest points in the ecosystem. With the IoT kicking in, the number of devices like thermostats, doorbells, security cameras, and other household devices that are prone to cyber-attacks has considerably increased.

One of the key purposes of IoT is to transmit real-time data. With the blockchain securing the transmission and eliminating the need for a centralized authority to control the network, the transmission can happen without any lapses in the security from one corner of the world to another.

 

  • Safer DNS

DNS is largely centralized. With this attribute, hackers can capitalize on the vulnerability to break into the connection between the IP address and website name to create havoc. This opens up a plethora of malicious possibilities – caching websites, redirecting users to spam platforms, or simply, which makes a webpage unavailable. A DNS attack can also be paired with the DDoS attacks to make a website or its utilities unusable for extended periods of time. While the tail log files can be used to issue real-time alerts for suspicious activities, the blockchain can take it a notch further.

 

  • Security in Private Messaging

The first word in the phrase ‘private messaging’ holds a lot of importance. Conversational commerce is gaining lots of popularity, and a lot of metadata is being collected from the customers at the time of these exchanges. We have seen messengers like WhatsApp use end to end encryption. Some other messaging platforms are beginning to use blockchain to secure the information. Today, a lot of messaging applications are using a standard set of security protocols and a unified framework to enable cross messenger communication. Introducing a blockchain technology can tackle this issue and creates a new system of unified communication. Blockchain not only secures all data exchanges but also enables connectivity between the different messaging platforms.

Clavent hosts a free webinar on emerging technologies and practices every week and this week’s free webinar is on ‘Blockchain and cybersecurity’ on 04th April at 12 PM IST. Register yourself for free form here.

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What is Design Thinking and Why is Everyone Talking About it?

What is Design Thinking and Why is Everyone Talking About it?​

Design thinking originally came about as a way of teaching engineers how to approach problems as designers do. One of the first people to write about the design thinking was John E. Arnold, professor of mechanical engineering at Stanford University.

With the rise of human-centered design in the 80s and the formation of the design consultancy in IDEO in the 90s, design thinking became increasingly popular. By the start of the 21st century, design thinking was making its way into the world of business. In the year 2005, Stanford University, the school began teaching design thinking as an approach to social and technical innovation.

Design thinking is both an ideology and a process that seeks to solve complex problems in a user-centric way. It focuses on achieving practical results and solutions that are:

  • Technically feasible: They can be developed into functional products or processes.
  • Economically viable: The business can afford to implement them.
  • Desirable for the user: They meet a real human need.

The ideology behind the design thinking states that, in order to come up with some innovative solutions, one must adopt a designer mindset and approach the problem from the user’s point of view. At the same time, design thinking is all about getting hands-on; the aim is to turn your ideas into tangible, testable products or processes as quickly as possible.

So,what exactly is design thinking?

Reasons why everyone is talking about Design Thinking:

  • Design Thinking Focuses On the End-User

Design thinking is an approach that takes care of end-users at the center of the process to solve the problems. The main target is to develop useful products and solutions that will fulfill the needs of the user. The process is inherently human-centered, getting close enough to the user to see where their frustrations lie and how we can make their lives and experiences better and more fulfilling.

 

  • Design Thinking Leverages Collective Expertise

By building multidisciplinary teams and having the discussion with many voices to the table, we come out of our respective fields or come out of the boxes to use our collective wisdom, expertise, and experience.

 

  • Design Thinking Employs Empathy

The design thinking sometimes referred to as “understanding” or “discovery”, it is the foundation of the design thinking depending on the explanation, sympathy necessities that we look to comprehend and relate to the requirements and difficulties of the general population, the experience or the framework.

 

  • Design Thinking Tests And Tests And Tests

The central process of Design Thinking is to “design, test and iterate”. It offers information about any kind of issues by creating several prototypes and taking actual users’ and customers’ feedback before spending too much time, effort or money, or anyone’s idea.

 

  • Design Thinking Create Value at the time of Solving Real Problems

Design Thinking is all about creating value and solving problems, not just about creativity and innovation. Also, instead of going with the traditional ways, to solve problem Design Thinking seeks to use design principles for any industry.

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Design Thinking Free Webinar

Date- 28 March 2020 | Time – 12 PM IST

Missed the webinar? We have the recording on YouTube so you can watch anytime you’d like.

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Clavent’s Blockchain 3.0 Summit Sets Real Life experiences for the Blockchain Industry

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Clavent’s Blockchain 3.0 Summit Sets Real Life experiences for the Blockchain Industry

Clavent held a conference on the 28th of February 2020 around Blockchain technology and how the technology is bringing disruption across industries and building smarter ways to manage any transactional process with the least friction. Titled “Blockchain 3.0 Summit,” the conference attracted a plethora of speakers, industry experts, emerging startups, and attendees from across the country and abroad.

The summit began with a keynote session by Anand Prakash Jangid, CEO of AJA, who spoke on the state of Blockchain- Disrupting Finance and Audit. This session proved to be a head-turner and set the stage for all that was to follow. Ravi Jagannathan, President, and CEO at KrypC, focussed his talk on Viable Blockchain Use Cases and their implementation. Focusing on how effectively Enterprises can leverage this technology as a differentiator.

Aditya Sinha, Investment Banking Analyst, Leading Investment Bank drew from his extensive 25 years of experience with design and development organizations including Bank of America, the U.S. Department of State, and the U.S. Dept of Energy to stress the Blockchain and its potential and current use-cases in finance, operations, and data storage.

The audience was enthralled with another facet of Blockchain application when Chandni Arora, Solution Architect – Supply Chain Digital, Hitachi Consulting, spoke of leveraging Blockchain with IoT and AI – the game-changing trio. Tanish Mathur, Assistant Vice President, Multinational Bank, spoke on the Blockchain and attainment of Sustainable Development Goals. He opined that there was an increasing need to provide privacy-preserving smart, sustainable contracts and trusted execution environments to the end-users in today’s world

Divya Gupta Lamba, Program Manager, Societe Generale spoke to the attendees about the Blockchain for KYC Data and Document Sharing, where she relates various Problems in Finance industry as various use cases for DLT applicability + Zoom on KYC Blockchain Use cases.

Dipankar Bose, Product Manager, Bosch held a session on the Blockchain & AI-based chatbot for Research Analysts in Investment Banks and focussed on how the blockchain/AI based chatbot creates AI-powered virtual assistants that help to integrate various disparate platforms of data collection by analysts coupled with AI/ML as well as voice-to-text and sentiment analyzer for better decision making.

Sessions by Prasoon Mukherjee, Unit Head, Societe Generale focussed on building Banking on Blockchain beyond Currencies. Prasoon also provided the audience with precious insights into the application of DLT on the front, middle & back-office systems of banks.

The afternoon tome of the summit witnessed new talks on some real-life application examples for Blockchain adopters. Vijay Kumar, a Digital Consultant, AI & Blockchain Startup, spoke of how New Tech, New Threats: Understanding the Security of Blockchain, focused more on the evolution of security, Blockchain Security landscape and how data security is going to evolve with the growing adoption of Blockchain.

The conference concluded with an extremely interactive and enthusiastic panel discussion moderated by Dilip Saha, the Head of Engineering, Robert Bosch, on Envisioning Governance Model for truly Decentralized System. Blockchain 3.0 Bangalore received great feedback from its speakers and attendees and can be viewed on the website.

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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

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

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

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

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

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

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

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.

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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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