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.

Best Tools for Cloud Infrastructure Automation


Best Tools for Cloud Infrastructure Automation

The integration of Development and Operations brings up with a new perspective to software development. If you are new to the DevOps practices or looking to improve your current processes, then it can be a challenging task to know which tool is best for your team.

So, let’s take a look at the best DevOps Infrastructure Automation Tools, from automated build tools to application performance monitoring platforms.

  • Ansible

Ansible automates a range of IT aspects, building configuration management, cloud provisioning, and application deployment. It is focused on the way various systems of your IT infrastructure interact with each other rather than managing a component at a time.

Ansible can be easily managed using a web interface called by the name as Ansible Tower. The tool offers a range of pricing models where users can choose from a basic, standard, or premium package and gets a custom quote for the features they use.


  • Datadog

Datadog is primarily a monitoring tool for cloud applications. It offers detailed metrics for all your cloud applications, servers, and networks as well. It can be easily integrated with some other automation tools such as Chef, Puppet, Ansible, etc.

Datadog can help in quick detection and troubleshooting of problems within the system. Thus, it is quite a time and cost-efficient solution for managing your cloud infrastructure.


  • Puppet

Puppet is an Infrastructure as a Code (IaaC) tool that lets users define the desired state of their infrastructure and automate the systems to achieve the same.

It monitors all your system and prevents any deviation from the defined state. Starting from simple workflow automation to infrastructure configuration and compliance, Puppet can do it all. The open-source tools are free, while the enterprise model for more than ten nodes is chargeable. Companies can get custom pricing quotes based on their requirements.

It is a tool preferred by companies such as Google and Dell; Puppet is the perfect tool to maintain consistency in the system while maximizing productivity.


  • Selenium

Primarily created for testing web applications, Selenium is a robust tool for automating web browsers. It is the best tool in the market for web app testing and management. Companies can easily create quick bug fixing scripts as well as develop automated, regressive bug fixing mechanism with Selenium.

Selenium combines software, with each serving a different purpose: Selenium Integrated Development Environment (IDE), Selenium Remote Control (RC), Selenium WebDriver, and Selenium Grid. It is free, open-source software that can be sponsored under the standard Apache 2.0 license.

It is quite easy to use and install and offers support for extensions as well.


  • Docker

Docker is a tool that focuses on continuous integration and deployment of code. Developers can easily create and manage applications using Dockerfiles.

DockerFIles enables application management in isolated environments, including system files, code, libraries, and other functions. Hence, it is highly preferred by companies engaged in multi-cloud and hybrid computing.

Docker helps to save up a lot of time and resources while enhancing the productivity of the system and can also be easily integrated with existing systems.


  • Cisco Intelligent Automation for Cloud

Cisco provides with a number of cloud offerings, from private to public to hybrid solutions. Apart from these offerings, Cisco intelligent Automation for cloud gives everything from infrastructure as a service (IaaS) to hands-on provisioning and management of instances running in the Cisco cloud or in other cloud environments, including the VMware, OpenStack, and AWS.

Some of its excellent features include a self-service portal for users of your cloud, multi-tenancy and network service automation. Though created with Cisco’s own cloud infrastructure offerings in mind, Cisco Intelligent Automation for Cloud benefits from being able to extend the automation tooling into other ecosystems.


  • Vagrant

Vagrant is an excellent tool for configuring virtual machines for a development environment. Vagrant runs on the top of the Virtual machines like VirtualBox, VMware, Hyper-V, etc. It uses a configuration file known as a VagrantFile, which contains all the configurations needed for the VM. Once a virtual machine is created, then it can be shared with other developers to have the same development environment. Vagrant has lots of plugins available for cloud provisioning, configuration management tools, and Docker.

7 Reasons you need workflow automation

7 Reasons you need workflow automation

Don’t you want to get the most out of your automating workflows software? If your workflow software is agile enough, then you can use it for far more than the typical HR and document management tasks that so companies use it for.

Automating workflows are not just about doing things faster and easier but also doing things better. Well, designed workflows can help to reduce errors and collect valuable data along the way – data that can be used for better budget planning, more effective customer tracking, and even faster recovery when disaster strikes. So, here are the 7 automating workflows use cases:

  • Automatic Approval or Eligibility Evaluation

Do small purchase orders really need departmental approval? If not, your purchase order workflow can be made to automatically evaluate conditions to make sure that only purchases greater than a certain threshold amount be sent for the departmental approval. And should use try to game the system by submitting a series of just under the threshold purchases; the system can evaluate the number of purchase orders started by the same person with a defined time period and proceed accordingly.


  • IT Support Tickets

Maybe your IT team consists of a single person hired to make sure that your computers and devices all work as intended. Even so, with the help of using workflow software to create an IT ticket system with online forms for users to describe their problems is smart. Not only are there no chances of losing requests, but your IT person can also collect valuable data and can help inform the future IT purchases or even make the business use case for hiring an additional IT worker.


  • Submission of Tweets to Your Social Media Manager

If you have a social media team, it is often best to have a single person in charge of posting social media messages, Tweets, and the Like. A simple online form submitting Tweets to the social media managers makes sure that all of them meet specifications and that they are posted strategically at the time when they are likeliest to receive the attention they deserve. Such forms can also be valuable as should an old social media channel post need to be retrieved or taken down later on.


  • A Disaster Recovery Workflow

Let’s suppose that your company experiences a natural disaster, break-in, or data breach. It is so much surprising and too difficult to know what to do first. But establishing a disaster recovery workflow can help. Such a workflow can walk users through essential steps, like bringing in extra staff, calling authorities, and contacting insurers. Too many businesses put disaster recovery on a back burner and are then caught out once something actually really happens.


  • Managing Accounts Receivable

An automated workflow that flags AR items that are more than 30 days old can make sure that no accounts slip through the cracks and end up being written off. For example, when an account reaches the 30-days threshold, a reminder can be sent to an AR team member to contact the customer by email. When an account reaches a 60- or 90-days threshold, the workflow can prompt a team member to follow up by phone or certified mail in an attempt to collect all the money owed to you.


  • Communication in distributed systems

Distributed systems become the new normal in Information Technology. Distributed Systems are complicated because of the eight fallacies of distributed computing. Most developers are not yet aware of the magnitude of changes coming due to the fact that remote communication is unreliable, that faults have to be accepted and that you exchange your transactional guarantees with eventual consistency.


  • Orchestration

Modern architectures are all about decomposition that is into server-less or microservices functions. When you have many small components doing one thing well, you are forced to connect the dots to implement the real use cases. This is where orchestration plays a big role. It basically allows the invoking components in a certain sequence.

Some of the bright Side of the Coronavirus

Some of the bright Side of the Coronavirus

Though positive news stories have mostly been buried under an avalanche of news, statistics and some of the ongoing updates about the coronavirus disease (COVID-19) lately, they are still out there.
It might also look that cheerful stories have been few and far between of late, but even in the direst of circumstances, there is often a silver lining.

Here are some of the positive developments related to COVID-19 that might point towards a light at the end of the tunnel for all the people in confinement, quarantine, and those infected by the COVID-19 that has the majority of the world in lockdown.

  • In Venice, locals are reporting they can see fish in the canals for the first time in years

The water of the canals in Venice is much clearer ever since the COVID-19 coronavirus has put a halt to tourism in the famous city. Over the past few years, the city has been struggling to deal with the overcrowding and pollution caused largely by tourism.
This has resulted in the city canals becoming murky due to pollution. Now, images showing that the water has become crystal clear.
It is not just Venice that has seen big changes. In Italy, where drastic lockdown measures were put in place following a spike in the COVID-19 cases, such as the port of Cagliari. Swans have filmed in the waters of Milan, and other wildlife has reportedly been spotted returning to areas that were previously uninhabitable.

  • Air pollution and global CO2 levels are going down dramatically

Air pollutants and warming gases over the cities across the globe have gone down dramatically since the COVID-19 coronavirus started to impact work and travel.

According to the report revealed by the BBC, results show that carbon monoxide, mainly from cars, has been reduced by around 50% compared with the last year in the typically traffic-heavy city.
CO2 emissions have also dropped dramatically. Scientists predict that by the month of May, when CO2 emissions are typically at their peak due to the decomposition of leaves, the levels recorded will be the lowest since the financial crisis over a few decades ago.


  • India has signed a big relief package deal

Governments across the globe, including India, are passing unprecedented laws to help citizens affected by the ongoing pandemic. In India, Prime Minister Narendra Modi signed into law a bill that makes sure paid leave benefits many Indians. It is a part of a wide-ranging aid package that will help those struggling with the current situation.

A report also suggested that legislation also promises free coronavirus testing to anyone, including the people who are uninsured. The bill also increases health funding across India.

  • It’s bringing out the best in people

In such type of difficult moments people come together, help each other out, and show a sense of solidary that is often missing in calmer times – despite some ugly, unwanted scenes related to the supermarket stockpiling, this has overwhelmingly been the case in people’s reaction to the COVID-19 pandemic.

In Italy, which is one of the worst affected countries by the pandemic, whole communities have come together to sing songs and play instruments from their balconies.

In India and Spain, citizens started a tradition of clapping from their balconies for the doctors, nurses, and other healthcare workers working hard to fight to help those who are ill.

  • Pangolins

A silver lining for pangolins, Vietnam is going to end its trade in wild animals killed for meat or parts after the COVID-19 has been linked to transmission from bats to humans with a wildlife host. The ministry of agriculture is said to be drawing up the directive “quickly” to present by the 1st of April. The WWF has revealed that it inspired a crackdown on the trade-in pangolin scales.


  • A helping hand… Sanitiser

Lots of companies who normally produce things like alcohol and perfume have switched their attention to producing hand sanitizer for free.

It is because lots of supermarkets and chemists have placed strict limits on the number of hands sanitizing gels shoppers can buy as producers struggle to source enough ingredients and small plastic bottles.

Due to this, people have learned a habit of sanitizing hands and their homes at regular intervals.

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.

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.

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.


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.

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


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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