Post – Pandemic Recruiting Practices

Prabhakar Kumar Mandal

The COVID pandemic has transformed business as we know it. This includes recruitment. Right from the pre-hire activities to the post-hire ones, no hiring practices will be exempt from change we’re witnessing. To maintain a feasible talent acquisition program now and in the coming years, organizations face a persistent need to reimagine the way they do things at every step of the hiring funnel. 

Enterprise IT Support Services USA

In my perspicacity, following are the key aspects to look at:

1. Transforming Physical Workspaces

Having employees be physically present at workplace is fraught with challenges now. We envision many companies transitioning into a fully or partially remote workforce to save on costs and give employees more flexibility.

This means companies that maintain a physical headquarter will be paying much closer attention to the purpose those spaces really serve—and so will the candidates. The emphasis now will be on spaces of necessity—meeting areas, spaces for collaborative work, and comfortable, individual spaces for essential workers who need to be onsite. 

2. Traveling for interviews will be an obsolete

It’s going to be a while before non-essential travel assumes its pre-corona importance. In a study of traveler attitudes spanning the U.S., Canada, the U.K., and Australia, the portion of people who said they intended to restrict their travel over the next year increased from 24% in the first half of March to 40% in the second half of March.

Candidates will be less willing than they once were to jump on a plane for an in-person interview when a video conference is a viable alternative. 

3. Demand for workers with cross-trained skills will increase

Skills-based hiring has been on the rise now and will keep increasing as businesses strive to do more with a lesser headcount. We anticipate organizations to increasingly seek out candidates who can wear multiple hats. 

Additionally, as machines take on more jobs that were once reserved for people, we will see even greater demand for uniquely human skills like problem solving and creative thinking. Ravi Kumar, president of Infosys Ltd., summed it up perfectly in an interview with Forbes: “machines will handle problem-solving and humans will focus on problem finding.” 

4. Recruiting events will look a lot different 

It’s unclear when large-scale, in-person gatherings like job fairs will be able to resume, but it will likely be a while. We will likely see most events move to a virtual model, which will not only reduce risk but significantly cut costs for those involved. This may open new opportunities to allocate that budget to improve some of the other pertinent recruiting practices on this list. 

Digital Transformation Services and Solutions

5. Time to hire may change dramatically

The current approach is likely to change. For example, that most people who took a new job last year were not searching for one: Somebody came and got them. Businesses seek to fill their recruiting funnel with as many candidates as possible, especially ‘passive candidates’, who are not looking to move. Frequently employers advertise jobs that do not exist, hoping to find people who might be useful later or in a different framework. We are always campaigning the importance of minding our recruiting metrics, which can help us not only to hire more competently but identify interruptions in our recruiting process.

Are there steps in the hiring process, like screening or onboarding, that can be accelerated to balance things out? Are there certain recruitment channels that typically yield faster hires than others that can be prioritized? These are important questions to ask as you analyze the pandemic’s impacts to your hiring funnel. 

6. How AI can be leveraged to screen candidates?

AI is helping candidates get matched with the right companies. There are over 100 parameters to assess the candidates. This reduces wastage of time, money, and resources. The candidates are marked on their core strengths. This helps the recruitment manager to place them in the apt role.

The current situation presents the perfect opportunity for companies to adopt new tools. Organizations can reassess their recruitment processes and strategies through HR-aligned technology.

Post-pandemic hiring strategy

This pertains more to the industries most impacted by the pandemic, like businesses in the hospitality sector, outdoor dining, and travel to name a few. Many of the applicants in this domain have chosen to make the shift towards more promising or booming businesses.

However, once the pandemic blows over and restrictions are lifted, you can expect suffering sectors to come back with major recruitment changes and fierce competition over top talent.

Companies that take this time to act by cultivating relationships and connections with promising talent in their sphere, will have the advantage of gathering valuable data from probable candidates.

About the Author –

Prabhakar is a recruiter by profession and cricketer by passion. His focus is on hiring for the infra verticle. He hails from a small town in Bihar was brought up in Pondicherry. Prabhakar has represented Pondicherry in U-19 cricket (National School Games). In his free time he enjoys reading, working on his health and fitness and spending time with his family and friends.

Reduce Test Times and Increase Coverage with AI & ML

Kevin Surace

Chairman & CTO, Appvance.ai

With the need for frequent builds—often many times in a day—QEs can only keep pace through AI-led testing. It is the modern approach that allows quality engineers to create scripts and run tests autonomously to find bugs and provide diagnostic data to get to the root cause.

AI-driven testing means different things to different QA engineers. Some see it as using AI for identifying objects or helping create script-less testing; some consider it as autonomous generation of scripts while others would think in terms of leveraging system data to create scripts which mimic real user activity.

Our research shows that teams who are able to implement what they can in scripts and manual testing have, on average, less than 15% code, page, action, and likely user flow coverage. In essence, even if you have 100% code coverage, you are likely testing less than 15% of what users will do. That in itself is a serious issue.

Starting in 2012, Appvance set out to rethink the concept of QA automation. Today our AIQ Technology combines tens of thousands of hours of test automation machine learning with the deep domain knowledge, the essential business rules, each QE specialist knows about their application. We create an autonomous expert system that spawns multiple instances of itself that swarm over the application testing at the UX and at the API-levels. Along the way these Intelligences write the scripts, hundreds, and thousands of them, that describes their individual journeys through the application.

And why would we need to generate so many tests fully autonomously. Because applications today are 10X the size they were just ten years ago. But your QE team doesn’t have 10X the number of test automation engineers. And because you have 10X less time to do the work than 10 years ago. Just to keep pace with the dev team requires each quality engineer to be 100X more productive than they were 10 years ago.

Something had to change; that something is AI.

AI-testing in two steps

We leveraged AI and witnessed over 90% reduction in human effort to find the same bugs. So how does this work?

It’s really a two-stage process.

First, leveraging key AI capabilities in TestDesigner, Appvance’s codeless test creation system, we make it possible to write scripts faster, identify more resilient accessors, and substantially reduce maintenance of scripts.

With AI alongside you as you implement an automated test case, you get a technology that suggests the most stable accessors and constantly improves and refines them. It also creates “fallback accessors” when tests run and hit an accessor change enabling the script to continue even though changes have been made to the application. And finally, the AI can self-heal scripts which must and update them with new accessors without human assistance. These AI-based, built-in technologies give you the most stable scripts every time with the most robust accessor methodologies and self-healing. Nothing else comes close.

The final two points above deal with autonomous generation of tests. To beat the queue and crush it, you have to get a heavy lift for finding bugs. And as we have learnt, go far beyond the use cases that a business analyst listed. Job one is to find bugs and prioritize them, leveraging AI to generate tests autonomously.

Appvance’s patented AI engine has already been trained with millions of actions. You will teach it the business rules of your application (machine learning). It will then create real user flows, take every possible action, discover every page, fill out every form, get to every state, and validate the most critical outcomes just as you trained it to do. It does all this without writing or recording a single script. We call this is ‘blueprinting’ an application. We do this at every new build. Multiple instances of the AI will spin up, each selecting a unique path through the application, typically finding 1000s or more flows in a matter of minutes. When complete, the AI hands you the results including bugs, all the diagnostic data to help find the root cause, and the reusable test-scripts to repeat the bug. A further turn of the crank can refine these scripts into exact replicas of what production users are doing and apply them to the new build. Any modern approach to continuous testing needs to leverage AI in both helping QA engineers create scripts as well as autonomously create tests so that both parts work together to find bugs and provide data to get to the root cause. That AI driven future is available today from Appvance.

About the Author –

Kevin Surace is a highly lauded entrepreneur and innovator. He’s been awarded 93 worldwide patents, and was Inc. Magazine Entrepreneur of the Year, CNBC Innovator of the Decade, a Davos World Economic Forum Tech Pioneer, and inducted into the RIT Innovation Hall of Fame. Kevin has held leadership roles with Serious Energy, Perfect Commerce, CommerceNet and General Magic and is credited with pioneering work on AI virtual assistants, smartphones, QuietRock and the Empire State Building windows energy retrofit.

Business Intelligence Platform RESTful Web Service

Albert Alan

Restful API

RESTful Web Services are REST architecture based web services. Representational State Transfer (REST) is a style of software architecture for distributed systems such as the World Wide Web. In this architectural style, data and functionality is considered resources and are accessed using Uniform Resource Identifiers (URIs), typically links on the Web.

RESTful Web Service

REST has some advantages over SOAP (Simple Objects Access Protocol) but is similar in technology since it is also a function call via HTTP protocol. REST is easier to call from various platforms, transfers pure human-readable data in JSON or XML and is faster and saves resources.

In the basic idea of REST, an object is accessed via REST, not its methods. The state of the object can be changed by the REST access. The change is caused by the passed parameters. A frequent application is the connection of the SAP PI via the REST interface.

When to use Rest Services

  • You want to access BI platform repository objects or perform basic scheduling.
  • You want to use a programming language that is not supported by another BI platform SDK.
  • You want to extract all the query details and number of records per query for all the reports like Webi and Crystal, etc.
  • You want to extract folder path of all reports at once.

Process Flow

RESTful Web Service

RESTful Web Service Requests

To make a RESTful web service request, you need the following:

  • URL – The URL that hosts the RESTful web service.
  • Method – The type of HTTP method to use for sending the request, for example GET, PUT, POST, or DELETE.
  • Request header – The attributes that describe the request.
  • Request body – Additional information that is used to process the request.

Common RWS Error Messages

RESTful Web Service

Restful Web Service URIs Summary List

URLResponseComments
  /v1Service document that contains a link to the /infostore API.This is the root level of an infostore resource
  /v1/infostoreFeed contains all the objects in BOE system/v1/infostore
  /v1/infostore/ <object_id>Entry corresponding to the info object with SI_ID=./v1/infostore/99
      /v1/logon/longReturns the long form for logon, which contains the user and password authentication template.Used to logon to the BI system based on the authentication method.
  /v1/users/ <user_id>  XML feed of user details in BOE systemYou can Modify user using PUT method and DELETE user using DELETE method.
    /v1/usergroups/ <usergroup_id>    XML feed of user group details in BOE systemSupport GET and PUT and DELETE method. You can Modify user group using PUT method and DELETE user group using DELETE method.
  v1/folders/ <folder_id>XML feed displays the details of the folder, can be used to modify the details of the folder, and delete the folder.You modify the folder using PUT method and DELETE the folder using DELETE method
  /v1/publicationsXML feed of all publications created in BOE systemThis API supports GET method only.

Extended Workflow

 The workflow is as follows:

  • To Pass the Base URL

GET http:///localhost:6405/biprws/v1/users

  • To Pass the Headers

  • To Get the xml/json response

Automation of Rest Call

The Business Intelligence platform RESTful Web Service  (BI-REST-SDK) allows you to programmatically access the BI platform functionalities such as administration, security configuration and modification of the repository. In addition, to the Business Intelligence platform RESTful web service SDK, you can also use the SAP Crystal Reports RESTful Web Services  (CR REST SDK) and SAP Web Intelligence RESTful Web Services (WEBI REST SDK).

Implementation

An application has been designed and implemented using Java to automate the extraction of SQL query for all the webi reports from the server at once.

Tools used:

  • Postman (Third party application)
  • Eclipse IDE

The structure of the application is as below:

The application file comprises of the required java jar files, java class files, java properties files and logs. Java class files (SqlExtract) are the source code and will be compiled and executed using command prompt as:

Step 1

  • Javac -cp “.;java-json.jar;json-simple-1.1.jar;log4j-1.2.17.jar” SqlExtract.java

 The above command compiles the java code.

Step 2

  • Java -cp “.;java-json.jar;json-simple-1.1.jar;log4j-1.2.17.jar” SqlExtract.java

 The above command runs the compiled java file.

The java properties file (log4j) is used to set the configurations for the java code to run. Also, the path for the log file can be set in the properties file.

RESTful Web Service

The logs (SqlExtractLogger) consist of the required output file with all the extracted query for the webi reports along with the data source name, type and the row count for each query in the respective folder in the path set by the user in properties file.

RESTful Web Service

The application is standalone and can run in any windows platform or server which has java JRE (version greater than 1.6 – preferred) installed in it.

Note: All the above steps required to execute the application are consolidated in the (steps) file.

Conclusion

SAP BO provides Restful web service to traverse through its repository, to fetch structural info and to modify the metadata structure based on the user requirements. When integrated with programming languages like python, java, etc., extends the scope to a greater extent, allowing the user to automate the workflows and to solve the backtracking problems.

Handling Restful web service needs expertise in server administration and programming as changes made to the metadata are irreversible.

References

About the Author –

Alan is a SAP Business Intelligence consultant with a critical thinking and an analytical mind. He believes in ‘The more extensive a man’s knowledge of what has been done, the greater will be his power of knowing what to do’.

Mentoring – a Win-Win Situation

Rama Vani Periasamy

“If I have seen further it is by standing on the shoulders of giants.” — Isaac Newton

Did you know the English word ‘Mentor’ actually originated from the Greek epic ‘The Odyssey’?

When Odysseus had to leave his kingdom to lead his army in the Trojan war, his son Telemachus was left under the guidance of a friend ‘Mentor’. Mentor was supposed to guide and groom Telemachus during his developmental years and make him independent. The word ‘Mentor’ was thus incorporated in the English language. We use the word in the same context that existed in Greek Mythology – to guide a person, make him/her an independent thinker, and a doer.

In the age of technology, there may be tools and enormous amounts of data to get a competitive advantage, but they’re no match for a mentor. The business hall of fame is adorned with the names of people who discovered that finding a mentor made all the difference.

A lot of people have been able to achieve greater heights than they imagined because they were able to tap into their potential and that is the energy mentoring brings in.

In today’s world, a lot of corporate offices offer mentoring programs that cut across age groups (called the cross-gens), backgrounds, and experiences that benefit everyone. But sometimes the mechanisms and expectations of a mentoring program are not clear which makes the practice unsuccessful. Today’s young generation think they have the internet to quench the thirst of their knowledge. They do not see mentors as guiding beacons to success but only help them meet their learning needs. Citing it with an example, mentoring is equivalent to teaching a man to not just fish, but also share the experiences, tricks, and tips, so that he becomes an independent fisher.  More often, our current generation fails to understand that even geniuses like Aristotle and Bill Gates needed a mentor in their lives.

When mentoring is so powerful, why don’t we nurture the relationship? What stops us? Is time a factor? Not really. Any relationship needs some amount of time to be invested and so is the case with mentoring. Putting aside a few hours a month is an easily doable task, especially for something that is inspiring and energizing. Schedules can always be shuffled for priorities.

Now that we know that we have the time, why is it always hard to find a mentor? To begin with, how do you find a mentor? Well, it is not as difficult as we think. When you start looking for them, you will eventually find one. They are everywhere but may not necessarily be in your workplace.

We have the time, we have a mentor, so what are the guidelines in the mentoring relationship?

The guidelines can be extracted very much in the word ‘MENTOR’.

M=Mission: Any engagement works only if you have something to work on. Both the mentor and mentee must agree on the goals and share their mission statement. Creating a vision and a purpose for the mentoring relationship adds value to both sides and this keeps you going. Articulating the mission statement would be the first activity, to begin with in a mentor-mentee relationship.

 E=Engage: Agree on ways to engage that works with your personalities and schedules. Set ground rules on the modes of communications. Is that going to be a one-one conversation periodically or remote calls? Find out the level of flexibility. Is an impromptu meeting fine? Can Emails or text messages be sent? Decide on the communication medium and time.

 N=Network: Expanding your network with that of your mentor or mentee and cultivating productive relationships will be the key to success. While expanding your network will be productive, remember to tread carefully. Seek permissions, respect, and even ask for an introduction before you reach out to the other person’s contacts.

 T=Trust: Build and maintain trust with your mentoring partner by telling the truth, staying connected, and being dependable. And as the mentorship grows, clear communication and honesty will deepen the relationship. Building trust takes time so always keep the lines of communication open.

O=Opportunity: Create opportunities for your mentee or mentor to grow. Being in a mentor-mentee relationship is like a two-way lane, where you can come across opportunities from both sides, which may not be open for non-mentors/mentees. Bringing in such opportunities will only help the other person achieving his/her goal or the mission statement that was set at the beginning.

R=Review and Renew: Schedule a regular time to review progress and renew your mentoring partnership. This will help you keep your progress on track and it will also help you look for short goals to achieve. Reviewing is also going to help retrospect if a different strategy is to be laid out to achieve your goals.

Mentoring may sound irrelevant and unnecessary while we are surviving a pandemic and going through bouts of intense emotions. But I feel it is even more necessary during this most unusual situation we’re facing. Mentoring could be one of the ways to combat anxiety and depression caused by isolation and the inability to meet people face-to-face.

Mentoring can be done virtually through video calls, by setting up a time to track the progress of your goals and discuss challenges/accomplishments.  Mentoring also proves to be the place to ask difficult questions because it is a “No Judging” relationship and the absolute safe place to deal with work-related anxiety and fear. I still recall my early days as a campus graduate where I was assigned a ‘Buddy’, the go-to person. With them, I’d discussed a lot of my ‘what’, ‘why’ and ‘how’ questions of the work and the corporate world, which I had resisted opening up to my supervisors.

Mentoring takes time. Remember the first day you struggled to balance on your bicycle and may have fallen down hurting your knees? But once you learned to ride, you would have loved your time on the saddle. The same applies to mentoring. Investing the time and effort in mentoring will energize you even better than a few hours of Netflix or scrolling on Instagram. Let us create a culture that shares knowledge, guides & encourages nonstop, like how Socrates taught Plato, Plato taught Aristotle and Aristotle held the beacon for many. There is an adage that goes “when you are ready to become a teacher, the student appears”.

“A mentor is someone who allows you to see the hope inside yourself.” — Oprah Winfrey

The article is based on the book “One Minute Mentoring” by Ken Blanchard & Claire Diaz Ortiz.

About the Author –

Rama is that everyday woman you see who juggles between family and a 9 hours work life. She loves reading history, fiction, attempting half marathons, and traveling.
To break the monotony of life and to share her interest in books & travel, she blogs and curates at www.kindleandkompass.com

Center of Excellence – Security

The Security Center of Excellence was instituted to set standards in the practice and be the point of contact for technical solutions, problem solving, etc. The broad objectives of this CoE are as follows:

  • Develop and maintain technical assets that can be leveraged across GAVS.
  • Enable Quality Governance by providing support in gating of architecture and design related deliverables.
  • Enable Operational Governance by establishing cadence for tech review of projects.
  • Create domain-based SMEs within the practice.
  • Train and upskill members in the practice.
  • Improve customer satisfactory index by implementing new ideas and innovations across all engagements.
  • Create additional SOC services for market competency.
  • Automation – Detect, investigate and remediate cyberthreats with playbooks and response workflows.

COVID and the changing nature of threat landscape

For many industries, it has been challenging period ever since the COVID outbreak, more so for those in security. Clearly, the bad actors have lot of time at their disposal which is reflective in the innovative techniques being used to attack targets. The level of vigilance required in monitoring the alerts and application of threat hunting techniques is key to diagnosing problems at initial stages of compromise in the worst-case scenario.

Microsoft Cloud Solution Provider

Remote Infrastructure Monitoring Services
Source: IBM X-Force Research

For enterprises that have no clue about MDR (Managed Detection and Response), this is a good time for them to start. We have innovative, cost effective solutions – “Make Hay while the Sun shines”. Small and large corporations alike have lost business and money because of lapse in security controls and monitoring. Now is not the time to make headlines that you are the victim of a major breach.

Our team is developing a vulnerability alerting tool, which we intend to equip customers with to provide qualified bulletin alerts, i.e. alerts only on vulnerabilities that affect them. This is a first of a kind in the market. This will greatly benefit existing and new customers.

Expanding into IAM and PAM

Security practice is expanding into Identity & Access Management (IAM) and Privileged Access Management (PAM) services. With new customers being onboarded into this focus areas for products such as Sailpoint, Thycotic, Ping, Cyberark, Okta and Azure PIM, we are expanding our talent pool through recruitment and through training and certification. This should largely benefit our existing customers and prospects who intend to leverage our security practice to fulfil their cyber security needs.

Expansion of our Red Team

Our Red Team within the practice has been expanded with many talented members, including some with bug bounty bragging rights. This has enormously helped in performing intensive tests on our internal product platforms, security assessments for customers. We have also extensively invested on tools for the Red Team to help them reduce assessment times.

Certification drive

With some more analysts having certified across AZ-500, Cyberark and trained on Darktrace. GAVS’ security analysts are taking full advantage to increase their knowledge thanks to the generosity of our alliances and training sites like Pluralsight. Even the mighty Microsoft opened their learning website for free, enabling young talent to equip themselves with critical DevOps and Cloud security skills.

As part of CoE initiatives, we have;

  • Aligned our security roadmap based on industry trends and to ensure solutions tailored for customer pain points.
  • Extended our SOC practice with IAM and PAM in 2020.
  • Identified domain-based SME and product-based SME for quick support.

We are currently in the process of creating security products, GVAS and GSMA, to help customer in proactively identifying and addressing vulnerabilities and self-maturity assessment of their cybersecurity posture. We are also underway to add Operational security to our Security practice.

If you have any questions about the CoE, you may reach out to them at COE_INFOSEC@gavstech.com

CoE Team Members

  • Venkatakrishnan A
  • Shivaram J
  • Alex Nepolian Lawrence
  • Ravindran Girikrishnan
  • Aravindah Sadhasivam Subramanian
  • Vijayakumar Veerapandiyan
  • Thubati Uday
  • Ganta Venkata Sandeep
  • Sundaramoorthy S
  • Sukanya Srinivasan

Design Thinking 101

Vasudevan Gopalan

Is the end-user at the center of everything you do? Do you consider human emotions while conceptualizing a product or a solution? Well, let us open the doors of Design Thinking

What is Design Thinking?

  • Design thinking is both an ideology and a process, concerned with solving in a highly user-centric way.
  • With its human-centric approach, design thinking develops effective solutions based on people’s needs.
  • It has evolved from a range of fields – including architecture, engineering, business – and is also based on processes used by designers.
  • Design thinking is a holistic product design approach where every product touch point is an opportunity to delight and benefit our users.

Human Centred Design

With ‘thinking as a user’ as the methodology and ‘user satisfaction’ as the goal, design thinking practice supports innovation and successful product development in organizations. Ideally, this approach results in translating all the requirements into product features.

Part of the broader human centred design approach, design thinking is more than cross-functional; it is an interdisciplinary and empathetic understanding of our user’s needs. Design thinking sits right up there with Agile software development, business process management, and customer relationship management.

5 Stages of Design Thinking

Office 365 Migration
  • Empathize: This stage involves gathering insights about users and trying to understand their needs, desires, and objectives.
  • Define: This phase is all about identifying the challenge. What difficulties do users face? What are the biggest challenges? What do users really need?
  • Ideate: This step, as you may have already guessed, is dedicated to thinking about the way you can solve the problems you have identified with the help of your product. The product team, designers, and software engineers brainstorm and generate multiple ideas.
  • Prototype: The fourth stage brings you to turn your ideas into reality. By creating prototypes, you test your ideas’ fitness.
  • Test: You present the prototype to customers and find out if it solves their problem and provides users with what they need. Note that this is not the end of the journey; you need to get feedback from the users, adjust the product’s functionality, and test it again. This is a continuous process similar to the build-measure-learn approach in the lean start-up methodology.
Design Thinking

Benefits of Design Thinking in Software Development

1. Feasibility check: Design thinking enables software development companies to test the feasibility of the future product and its functionality at the initial stage. It enables them to keep end-user needs in mind, clearly specify all requirements and translate all this into product features.

2. No alarms and no surprises: Once you’ve tested your MVP and gathered feedback from users, the team can confidently proceed to the product development. You can be quite sure that there will be little to no difference between the approved concept and final version.

3. Clarity and transparency: Design thinking approach allow product designers/developers to broaden their vision, understand and empathise with the end-users’ problems and have a detailed blueprint of the solution they should eventually deliver.

4. Continuous improvement: The product can be (and sometimes should be) modified after its release when user feedback is at hand. It becomes clear which features work and which can be done away with. The product can undergo some series enhancements on the basis of feedback. This leaves place for continuous improvement and software development process becomes flexible and smooth.

Real-world Success Stories

1. PepsiCo

During Indra Nooyi’s term as PepsiCo’s CEO, the company’s sales grew 80%. It is believed that design thinking was at the core of her successful run. In her efforts to relook at the company’s innovation process and design experience, she asked her direct reportees to fill an album full of photos of what they considered represents good design. Uninspired by the result, she probed further to realize that it was imperative to hire a designer.

“It’s much more than packaging… We had to rethink the entire experience, from conception to what’s on the self to the post product experience.”, she told the Harvard Business Review.

While other companies were adding new flavours or buttons to their fountain machines, PepsiCo developed a touch screen fountain machine, a whole new interaction between humans and machines.

“Now, our teams are pushing design through the entire system, from product creation, to packaging and labelling, to how a product looks on the shelf, to how consumers interact with it,” she said.

2. Airbnb

Back in 2009, Airbnb’s revenue was limping. They realized that poor quality images of rental listings may have something to do with it. They flew some of their employees to a city and got them to take high quality photos and upload it on their website. This resulted in a 100% increase in their revenue.

Instead of focusing on scalability, the team turned inward and asked, ‘what does the customer need?’ This experiment taught them a few big lessons, empathy being just as important as code was one of them.

3. Mint.com

Mint.com is a web-based personal financial management website. Part of their success is attributed to the human-centric design of the website which tracks and visualizes how a person is spending their money. Bank accounts, investments, and credit cards can easily be synchronized on Mint, which then categorizes the expenses to help the user visualize their spending. They built a product that illustrates a core principle of design thinking: truly understanding the position and mindset of the user. They had 1.5 million customers within 2 years.

Design thinking is a human-centred approach to innovation that draws from the designer’s toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success.

References

https://www.researchgate.net/publication/226141981_Design_Thinking_A_Fruitful_Concept_for_IT_Development

https://blog.brainstation.io/how-5-ceos-used-design-thinking-to-transform-their-companies/

About the Author –

Vasu heads Engineering function for A&P. He is a Digital Transformation leader with ~20 years of IT industry experience spanning across Product Engineering, Portfolio Delivery, Large Program Management etc. Vasu has designed and delivered Open Systems, Core Banking, Web / Mobile Applications etc.
Outside of his professional role, Vasu enjoys playing badminton and focusses on fitness routines.

The Pandemic and Social Media

Prabhakar Mandal

The COVID-19 outbreak has established the importance of digital readiness during pandemics. Building the necessary infrastructure to support a digitized world is the current mandate.

Technology has advanced much in the past century since we were hit by the Spanish Flu pandemic in 1918, and it plays a crucial role in keeping our society functional. From remote working to distance learning, and from telehealth to robot deliveries, our world is set to witness a lasting change post this pandemic.

As with other major and minor events of the past few years, social media is playing a big role in shaping people’s perception of the ongoing pandemic. Not just that, the social media platforms have also contributed to spreading information/misinformation, helping people cope with the strange times, and raising awareness about some pressing issues.

Security Iam Management Tools

Social Media and the pandemic: The Good!

Social media is one of the most effective ways to share news nowadays (it may be the only way for some people), especially if you are trying to alert the masses quickly. First-hand accounts of those who were infected and recovered were available almost in real-time. Scenes of lockdowns from the countries that first imposed it gave us a heads-up on what was due to come. If only we’d paid more heed to it.

With most of the world stuck at home, our mobile devices have increasingly become the go-to option to connect with the outside world. Social media usage has surged during the lockdown, with various apps witnessing a manifold increase in their traffic.

From educating to entertaining, social media platforms have stepped up as well. Movie and video streaming apps have redefined movie/video watching behavior by introducing features that allow users to host long-distance movie nights with friends and family.

We also witnessed a surge in various ‘online challenges’ that people could do in their homes and upload online. While some may view them as naïve, experts claim these are part of the various coping mechanisms for people.

Social media surfing has gained a significant share in the pie of leisure activities. Be honest, how many of us living alone are doing anything but scrolling these apps in our free time? But thanks to the social media ‘influencers’, scores of us are being motivated to workout at home, eat healthily, pick up a book, or learn something new.

Posts from health workers and others on the frontline have also helped spread the word on the difficulties they’re facing and rallied efforts to help them.

Online solidarity has spilled over offline as well. People are taking to social media to offer support in any way they can, such as picking up groceries for those who are unable to leave home or sharing information on how to support local businesses who are struggling. Communities are rallying together to support organizations and individuals by opening fundraisers to a larger audience.

Social Media and COVID-19: The Bad

Unfortunately, the impact of social media has not been all good. News on social media spreads fast, fake news even faster. Misinformation can cause panic, and can even turn out to be fatal on health issues. As a practice, we should all do a bit of research and validate the information from ‘reputed sources’ before sharing it.

This next bit is more of a tip…Whether it’s a business or a personal profile, you should refrain from posting anything that makes fun of, ridicules, or trivializes the situation. Not only is that insensitive, but it could also spell trouble for you, especially as a business.

The ‘influencers’ have been found guilty of misusing their power and taking advantage of the situation. Various inauthentic posts had gone viral before being pulled down. Do social validation and fame know no limits?

It is true that people often turn to social media as a stress-buster, but experts say it is equally stress-inducing for some individuals. It is important to note here that we’re also in the midst of an ‘infodemic’ – an anxiety-triggering over-abundance of information.

It is easy to overlook, especially now, the devastation that mental health issues cause globally. Studies have reported an increase in mental health issues attributed to social media in recent years. Psychologists say the lockdown will only add to that. Needless to say, mental health has a bearing on physical health as well.

Anti-rich sentiments have also gained momentum in the past weeks, as the pandemic makes the class divides glaringly obvious.

Conclusion

From the transparency that we have gained through this current COVID-19 situation, we now understand that we were not prepared to handle it. Many developed countries have had their health systems overwhelmed, those on the frontlines are being overworked and even the most advanced nations are stumbling to get their economies back up. The next pandemic is not a matter of “if it happens”, but “when it happens”.We need to be prepared at an individual and collective level. Indeed, technology has advanced and will continue to advance exponentially, but institutions and societies need to accelerate in adapting to it and continue investing in building the technology systems for the preparedness.

About the Author –

Prabhakar is a recruiter by profession and cricketer by passion. His focus is on hiring for the infra verticle. He hails from a small town in Bihar was brought up in Pondicherry. Prabhakar has represented Pondicherry in the U-19 cricket (National School Games). In his free time, he enjoys reading, working on his health and fitness, and spending time with his family and friends.

Autonomous Things

Machine learning service provider

Bindu Vijayan

“Autonomous things (AuT), or the Internet of autonomous things (IoAT), is an emerging term for the technological developments that are expected to bring computers into the physical environment as autonomous entities without human direction, freely moving and interacting with humans and other objects…”

To put it simply, Autonomous Things use AI and work unsupervised to complete specific tasks without humans. Devices are enhanced with AI, sensors and analytical capabilities to be able to make informed and appropriate decisions.  They (these devices) work collaboratively between humans and the environment and provide superior performance.  Today AuT work across several environments with various levels of intelligence and capabilities. Some popular examples of these devices are drones, vehicles, smart home devices among others. The components of Autonomous things – software and AI hardware are getting increasingly efficient. With improved technologies (and significantly reducing sensor costs), the variety of tasks and processes that can be automated are increasing, with the advantage of bringing in more data and feedback that can efficiently improve and enhance the benefits of autonomous things.

The technology is used in a wide variety of scenarios – as data collectors from a variety of terrains and environments, as delivery systems (by Amazon, pizza deliveries, etc.), medical supplies to remote areas, etc. Robotics used in the supply chain has proven it reduces/elevates the danger out of the hitherto human tasks in warehouses.  And they probably have the most economic potential currently, followed by autonomous vehicles.  Drones are used to collect data across a wide variety of functions –  for surveillance, security, stock management, weather forecasting, obtaining air data, oceanic data, agricultural planning, etc.

Some fascinating use cases:

Healthcare

Drones are proving to be more and more effective in several ways – they are currently used extensively for surveillance of disaster sites that have biological hazards.  There is no better relevance than the current times when they can actually be used in epidemiology to track disease spread,  and of course for further research and studies.  Drones are facilitating on-demand healthcare by providing medicines to terrains that are difficult to access.  Swoop Aero is one such company that provides medicines via drones.  Drones have brought healthcare into the most remote areas with diagnosis and treatment made available. Remote areas of Africa have their regular medical supplies,  vaccine supplies, lab samples collected, emergency medical equipment made available through Drones. They are also used in telementoring, for perioperative evaluation and so on.  Drones have been very efficient in accessing areas and providing necessary support where ground transport is not reliable or safe or impossible.  Today, most governments have Drones on their national agenda under various sectors. The Delft University of Technology is developing an ambulance drone technology that can be used at disaster sites to increase rescue rates..

Retail

In a world where we have virtual assistants do grocery shopping, replenish stocks, and cooking machines making food, when there is a need to go out shopping, shoppers want to have an easy, fast and frictionless process.  Today, customers do not want to wait in queues and go through conventional checkouts, and Retailers know that they might be losing customers due to their checkout process.  And autonomous shops like Amazon Go are giving that experience to customers where they can purchase without the inconvenience of checkout lines.

Providers of checkout-free shopping technology like ‘Grabango’, use sensor vision and ML to actually hold a virtual shopping basket for every person in the store.  The technology is reputed to process a multitude simultaneous checkout transactions. “Grabango’s system uses high-quality sensor hardware and high-precision computer algorithms to acquire the location of every item in the store. This results in a real-time planogram covering the entire retail environment.” They say it results in increased sales and loyalty, streamlined operations and inventory management and out of stock alerts.

Construction

Companies like Chicago based, Komatsu American Corp., have autonomous haulage stems that have optimized safety in the mining industry like never before. They “help you continue to meet your bottom line while achieving zero-harm” while their focus has been on developing autonomous mining solutions, they have been doing it for more than three decades now! Their FrontRunner AHS has moved more than two billion tons of surface material so far in driverless operations.  Catepillar would be deploying their fleet of autonomous trucks and blast drills for the iron mine in Western Australia – Rio Tinto Koodaideri.  The industry is thriving with autonomous and semi autonomous equipment, and it is evident that it has brought improvements to productivity, and increased profitability. At the Australian mine “autonomous vehicles operated on average 700 hours longer and with 15 per cent lower unit costs”… Similarly, there are other companies like Intsite, a heavy machinery company; their autonomous crane ÁutoSite 100’ does autonomous operation of heavy machinery.

Transportation

Most of us think Tesla when we think autonomous vehicles.  Elon Musk’s dream of providing autonomous ride-sharing has Tesla working on getting out one million robotaxis on the road this year. We will have to wait and see how that is going to pan out. Though autonomous vehicles are the most popular, I suppose it might take a little more time before it finds answers to the regulatory challenges, definitely not an easy task.  It gets quite overwhelming when we think of what we are expecting from autonomous vehicles – it assumes correct performance no matter the uncertainties on the roads and the environment, as well as the ability to face any sort of system failures on its own, and AI is a very critical technology when we are talking real-time decision making. Those sort of scenarios call for a strong computing platform in order to do the analysis at the edge for faster decision making.  The new V2X, which is the 5G vehicle-to-everything is expected to make autonomous vehicles mainstream because the vital information would get transmitted as structured data to the vehicle. V2X is expected to have vehicles interfacing with anything, be it pedestrians, roadside infrastructure, cyclists, etc.

Today, technology is also looking at ‘vehicle platooning’ – “Platoons decrease the distances between cars or trucks using electronic, and possibly mechanical, coupling. This capability would allow many cars or trucks to accelerate or brake simultaneously. This system also allows for a closer headway between vehicles by eliminating reacting distance needed for human reaction.” It has a group of self driving vehicles moving at high speed but safely, as the trucks are in constant communication with each other and use this intelligence to make informed decisions like braking, speeds, etc.  And autonomous trucks and cars can automatically join these platoons or leave, this has the advantages of reduced congestion, fewer traffic collisions, better fuel economy, and shorter commutes during peak hours. 

Conclusion

Studies show that Autonomous things are fast moving to ‘swarm’ or a bunch of intelligent devices, where multiple devices will function together collaboratively, as against the previously isolated intelligent components/ things. They are going to be intelligently networked among themselves and with the environment, and the wider that becomes within every industry, they are going to show phenomenal capabilities. But let’s not forget there is a whole other side to AI, given how unpredictable things are in life, AI would sooner or later have to respond to things that it never saw in training… we still are the smarter ones…

References:

https://en.wikipedia.org/wiki/Autonomous_things

https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2020/

https://worldline.com/en/home/blog/2020/march/from-automatic-to-autonomous-payments-can-things-pay.html

https://en.wikipedia.org/wiki/Self-driving_car

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174005/

https://www.komatsuamerica.com/

https://en.wikipedia.org/wiki/Platoon_(automobile)https://grabango.com/

Assess Your Organization’s Maturity in Adopting AIOps

IT operations analytics

Anoop Aravindakshan

Artificial Intelligence for IT operations (AIOps) is adopted by organizations to deliver tangible Business Outcomes. These business outcomes have a direct impact on companies’ revenue and customer satisfaction.

A survey from AIOps Exchange 2019, reports that 84% of business owners who attended the survey, confirmed that they are actively evaluating AIOps to be adopted in their organizations.

So, is AIOps just automation? Absolutely NOT!

Artificial Intelligence for IT operations implies the implementation of true Autonomous Artificial Intelligence in ITOps, which needs to be adopted as an organization-wide strategy. Organizations will have to assess their existing landscape, processes, and decide where to start. That is the only way to achieve the true implementation of AIOps.

Every organization trying to evaluate AIOps as a strategy should read through this article to understand their current maturity, and then move forward to reach the pinnacle of Artificial Intelligence in IT Operations.

The primary success factor in adopting AIOps is derived from the Business Outcomes the organization is trying to achieve by implementing AIOps – that is the only way to calculate ROI.

There are 4 levels of Maturity in AIOps adoption. Based on our experience in developing an AIOps platform and implementing the platform across multiple industries, we have arrived at these 4 levels. Assessing an organization against each of these levels, helps in achieving the goal of TRUE Artificial Intelligence in IT Operations.

Level 1: Knee-jerk

Events, logs are generated in silos and collected from various applications and devices in the infrastructure. These are used to generate alerts that are commissioned to command centres to escalate as per the SOPs (standard operating procedures) defined. The engineering teams work in silos, not aware of the business impact that these alerts could potentially create. Here, operations are very reactive which could cost the organization millions of dollars.

Level 2: Unified

All events, logs, and alerts are integrated into one central locale. ITSM processes are unified. This helps in breaking silos and engineering teams are better prepared to tackle business impacts. SOPs have been adjusted since the process is unified, but this is still reactive incident management.

Level 3: Intelligent

Machine Learning algorithms (either supervised or unsupervised) have been implemented on the unified data to derive insights. There are baseline metrics that are calibrated and will be used as a reference for future events. With more data, the metrics get richer. IT operations team can correlate incidents / events with business impacts by leveraging AI & ML. If Mean-Time-To-Resolve (MTTR) an incident has been reduced by automated identification of the root cause, then the organization has attained level 3 maturity in AIOps.

Level 4: Predictive & Autonomous

The pinnacle of AIOps is level 4. If incidents and performance degradation of applications can be predicted by leveraging Artificial Intelligence, it implies improved application availability. Autonomous remediation bots can be triggered spontaneously based on the predictive insights, to fix incidents that are prone to happen in the enterprise. Level 4 is a paradigm shift in IT operations – moving operations entirely from being reactive, to becoming proactive.

Conclusion

As IT operations teams move up each level, the essential goal to keep in mind is the long-term strategy that needs to be attained by adopting AIOps. Artificial Intelligence has matured over the past few decades, and it is up to AIOps platforms to embrace it effectively. While choosing an AIOps platform, measure the maturity of the platform’s artificial intelligent coefficient.

About the Author:

An evangelist of Zero Incident FrameworkTM, Anoop has been a part of the product engineering team for long and has recently forayed into product marketing. He has over 14 years of experience in Information Technology across various verticals, which include Banking, Healthcare, Aerospace, Manufacturing, CRM, Gaming and Mobile.

Combating a health crisis with digital health technologies

Bindu Vijayan

The current pandemic has exposed yawning gaps in the systems of the best of developed countries to be able to respond to virulent pathogens.  The world has seen SARS and Ebola in fairly recent times, and with the COVID 19 pandemic, it is becoming clear that technology can help combat and overcome future epidemics if we plan and strategize with these technologies.  They bring efficiency to our response times, and we are currently learning the importance of using these technologies for prevention as well.  A small example – Canadian AI health monitoring platform BlueDot’s outbreak risk software is said to have predicted the outbreak of the pandemic a whole week before America (who announced on Jan 8), and the WHO (on Jan 9) did. BlueDot predicted the spread of COVID 19 from Wuhan to other countries like Bangkok and Seoul by parsing through huge volumes of international news (in local languages).  It further was able to predict where the infection would spread by accessing global airline data to trace and track where the infected people were headed.

Contrary to earlier times, today it only takes a few hours to sequence a virus, thanks of course, to technology.  The scientists don’t have to cultivate a sufficient batch of viruses any longer in order to examine them, today, its DNA can be got from an infected person’s blood sample or saliva.  India’s National Institute of Animal Biotechnology (NIAB), Hyderabad, has developed a biosensor that can detect the novel coronavirus in saliva samples. The new portable device called ‘eCovSens’, can detect coronavirus antigens in human saliva within 30 seconds using just 20 microlitres of sample.  Startups like Canadian GenMarkDx, US-based Aperiomics & XCR Diagnostics, Singapore based MiRXES, and Polish company’s SensDx have introduced top notch diagnostic solutions.  Identifying infected people to provide strict medical care will be made a lot faster with these diagnostic kits. 

Genome sequencing is also vital to fight the pandemic.  The genome of this virus was completely sequenced by the Chinese scientists in under a month from detection of the first case, and then on the biotech companies created synthetic copies of the virus for research.  Today creating a synthetic copy of a single nucleotide costs under 10 cents (in comparison to the earlier $ 10), so these days it is far quicker and cheaper, which means the chances of finding appropriate / adequate medication are much faster which will help save more lives.

Healthcare workers are having to pay a huge price, they run the risk of getting infected, there is often paucity of PPE, and in some countries, they even have to face assault from crowds that are angry and confused at the situation.  Medical workers are targetted by mobs, there are instances where communities don’t allow them to come back to their homes after duty, shops don’t sell them necessities, etc.  Medical robots can be the real game-changers in such situations.  Deploying robots in such scenarios to do the rescue is becoming a much sought after option, wherever possible.   Robots become the answer to such difficult situations as they are impervious to infections.  They allow physicians to treat/communicate through a screen. The patient’s vitals are also recorded by the robot.  Patients can be very efficiently monitored this way.

Drones for deliveries, especially medical deliveries can also be used to reach isolation zones or quarantined zones.  Italy made a big success out of this. Italy’s coronavirus epicenter, Bergamo, in Lombardy region, had to resort to people’s temperature being read by drones.  ‘The Star’ reported that “once a person’s temperature is read by the drone, you must still stop that person and measure their temperature with a normal thermometer,” said Matteo Copia, a police commander in Treviolo, near Bergamo. Drones are being used for surveillance – In areas where people were not complying with social distancing and lockdown restrictions, authorities are using drones to monitor people’s movement and break up social gatherings that could be a potential risk to the society. Drones are also being used for Disinfectant spraying, broadcasting messages, medicine and grocery deliveries and so on.

Interactive maps give us the data on the pandemic on real time, and monitoring a pandemic this wide and dangerous is very crucial to stopping/controlling its spread. These maps are made available to everybody, and the truth and transparency in the situation of such epic proportion is necessary in order to avoid panic within communities.  We now have apps for tracking the virus spread, fatalities and recovery rates, and apps would be developed for the future that will warn us about impending outbreaks, the geographies and flight routes that we must avoid

Implementing these technologies will enable us to manage and conquer situations like the current pandemic we are going through. As Bernardo Mariano Junior, Director of WHO’s Department of Digital Health and Innovation, rightly said “The world needs to be well prepared and united in the spirit of shared responsibility, to digitally detect, protect, respond, and prepare the recovery for COVID 19. No single entity or single country initiative will be sufficient. We need everyone.”

References: