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.

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.

Resilience

Machine learning service provider

Bindu Vijayan

Even as the world is grappling to understand the full extent of the economic impact of this pandemic,  I read that the pandemic is minting brand new billionaires, with the need for testing kits, vaccines, and medical supplies being so high. Companies who are able to meet the demand surge for these products enjoy boosted shares and have their stocks surging. That’s how things go with technology, it liberates and it enslaves, but it has most certainly helped build resilience and aided us through the unexpected in our response and recovery. Though labor-intensive businesses like food, manufacturing, logistics and some others are badly hit, our societies are still kept functional by technology in many ways.

Technology has raised our resilience as a community, the pandemic has thrown us into situations we have never been through before –  a paralyzed public transportation, no malls, no restaurants, no beaches, no tourism, no visiting our friends, family, and relatives, almost everything that we have taken for granted has been curbed, but technology has enabled us to continue in spite of the crisis.  We still are able to work, have essential supplies and deliveries reach us, get medical assistance, almost everything has been made available, and possible for us to live in the comforts of our home as we comply with the virus curbs.

Working remotely – Reducing human density and following social distancing are key to combatting this virus, and working from home is seeing a lot of success.  Virtual meetings and collaborations have become the ‘now normal’, with added comfort factors like virtual backgrounds to protect the privacy of one’s home. We are all suddenly seeing the relief from not having to navigate those long commute hours, and this transition has actually dropped a few emotional barriers; suddenly it is more visible (and alright) how we are at home, away from the office, and it is humanizing corporate life a little.  We are alright to see (and for others to see us) children being home-schooled, parents dealing with their fuss and outbursts in the background of a meeting, and pets walking around vying for screen space. We are sharing more human aspects of ourselves, there is this shared vulnerability in this situation which is increasing the engagement and connection between co-workers. Though security issues are a concern, there are many advantages in remote working that are emerging for companies.  If this does become the new way of working, organisations can save a great deal on leases, cafeteria, and other maintenance expenses.

Online / Distance Education – Just like offices and businesses having to function largely from home, the student community as well have learnt to rely on online learning.  About 1.57 billion students are reported to have been impacted by this pandemic, and they are currently doing online programs, thanks to great immersive experiences through technologies like augmented reality, virtual reality and others.

Online purchasing – Today undoubtedly, online shopping is a boon, and has come to everyone’s rescue. With such strict lockdowns especially in severely affected areas, people have had to stay in, strictly monitored by the authorities and online shopping is the need of the hour. Grocery e-commerce has soared with shoppers turning online to purchase. Research from Ipsos reports that the largest increase in e-commerce shopping is in Vietnam (57% consumers purchasing online), India (55%), China (50%), and Italy (31%).

Contactless delivery, Drones and Robots – Companies have started ‘contactless delivery’ services with packages being picked up and dropped off at designated locations as this makes it less risky though not entirely virus-proof. Deliveries are also being done by Drones and robots. Drones are even used to walk dogs during these times, disinfect areas,

Entertainment – Be it concerts, be it parties, gaming, physical workouts, it’s all online now, and it’s such a hit with everyone! It’s no more about watching movies at home, technology brings the parties, museums, churches, and ceremonies into our homes now.

Health – Wearable IoT devices to track one’s vitals are proving its worth with each day into the pandemic.  It captures patient information early and allows for faster and more effective treatment. Telehealth is another important aspect of healthcare today.  Today, it is proving particularly helpful for mental health support, given the travel restrictions.

As we operate our businesses away from the office, employees will have to be kept engaged.  Enabled with technology, grave as the pandemic is, employees are empowered to work from home.  Behaviours need to strengthen organizations’ culture, and it is important that the culture is based on trust, transparency and honesty.  It is not easy to make things error-free, but the current scenario demands that expectations are managed well, and the foundation works on mutual loyalty. 

It is not just the employees who are going through anxieties and fears, the same is happening to our customers as well.  Lower productivity, logistics, and other restrictions of lockdowns can disrupt relationships and engagements. Special attention to reinforcing trust and transparency through openness and willingness to engage is imperative. And, through it all,  protect your employees, they are the best ambassadors for your organisation, and employee behaviour and attitude is a very significant driver of customer satisfaction.

“To win in the marketplace, you must first win in the workplace.”Doug Conant

References;

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:

VDI for Remote Working

aiops platform monitoring tools

Padmapriya Sridhar

The modern workforce is constantly evolving. Flexible work hours, remote working, anytime, anywhere access to corporate data, applications & resources from any device, are fast becoming baseline employee expectations. Organizations are also adapting and exploring better ways to work and collaborate, to boost employee productivity. While providing secure employee mobility is one goal, ensuring 24*7 support for always-on businesses, business continuity with minimal disruption in the event of natural calamities, or pandemics like Covid-19, are other drivers that are escalating the need for secure remote access for employees. 

While providing employees with laptops or mobile devices is one option to enable remote working, it can incur heavy capital expenditure and more importantly, it can quickly spiral into a management and security nightmare for the IT team. With thousands of endpoint devices, disparate applications and data, and sophistication of cyber attacks, supporting secure and compliant workplace mobility can become overwhelming, if even effectively doable. With this said, let’s look at Desktop Virtualization as a viable alternative.

Desktop Virtualization

Desktop Virtualization is a technology that completely untethers a physical device from the desktop environment. Desktop components such as the hardware, operating system, applications, data, and user persona are moved into the data center, where they are centrally managed as individual components. When a user accesses his desktop from a remote device through the network, a dynamically assembled set of these components is presented to the user as a personalized view of his desktop, called a virtual desktop. The decoupling of the user’s device from his desktop environment enables desktop access from any of his computing devices.  

Benefits of Desktop Virtualization

Simplified IT Management: Centrally located & managed computing and data environment simplifies IT management, and enables tighter control over endpoint devices, easier enforcement of security and regulatory compliance, and hence a lesser number of IT incidents. This process efficiency reduces operational overheads and drastically reduces costs.

Cost-Effective: Desktop Virtualization shifts organizational expenditure from CapEx to OpEx. When virtual desktops are hosted in the cloud as in Desktop as a Service (DaaS), costs are based on usage, making it very cost-effective.

Enhanced Employee Productivity: Employee mobility through secure access to the desktop, applications, and other corporate resources anytime & anywhere, fuels productivity.

Faster Disaster Recovery: This is achievable with minimal downtime since recovery does not involve rebuilding the physical infrastructure environment.

Rapidly Deployable and Highly Scalable: Virtual Desktops are provisioned based on role-specific preconfigured templates, and so can be spun up quickly depending on the demand curve. They can also be destroyed just as fast when not required, saving a lot of time, effort, and costs in anticipatory provisioning. Similarly, applications can also be quickly served, since they are centrally installed and controlled, lending agility to IT operations.

The abstraction and isolation of the desktop computing layers open new possibilities of workspace delivery. Different desktop virtualization technologies address different layers of the computing environment. Some of them over the years have been:

Application Virtualization, Virtual Desktop Infrastructure (VDI), Service-Based Computing (SBC), Client-Hosted Virtual Desktops (CHVDs), User Personalization Management (UPM), Workspace Aggregators, Remote Desktop Services (RDS) and many more. Desktop as a Service (DaaS) is a cloud-based service offering powered by one or more of these technologies.

VDI & DaaS have had the most innovation in recent times. VDI is a preferred choice since it remotely delivers the image of the desktop environment that users are comfortable with. VDI provides the highest levels of abstraction & security, among the technologies. In VDI, each user gets a dedicated thick client user environment run as a virtual machine (VM), and hosted on a server in the data center. The user works on the desktop image that is sent over the network and can then interact with the files, applications, and the OS, as he would in a physical desktop. The flip side to VDI is that the implementation and management need specialized technical expertise, so it would help to use a VDI vendor who offers end-to-end service as well.

In DaaS, the virtual machines are hosted on the cloud, and so it automatically comes with all the cloud computing benefits like flexibility, faster deployment, scalability, and affordable cost structure due to usage-based pricing, & the shift towards operating expenses.   

GAVS’ VDI Solution

zDesk, is our end-to-end integrated solution for a fully functional VDI. zDesk combines the benefits of VDI and Desktop-as-a-Service (DaaS) and can be hosted either on-premise or on the cloud. The simplicity of the single-vendor solution enabled by hyper-converged and software-defined infrastructure technologies defies the rapid deployability, scalability and robust security of the virtual desktops. For more information on our VDI solution, please reach out to us at inquiry@gavstech.com.

Creating Purposeful Corporations, In pursuit of Conscious Capitalism

Gavs technologies ceo

Sumit Ganguli

More than 8 million metric tons of plastic leak into the ocean every year, so building infrastructure that stops plastic before it gets into the ocean is key to solving this issue,” said H. Fisk Johnson, Chairman, and CEO of SC Johnson. SC Johnson, an industry-leading manufacturer of household consumer brands, has launched a global partnership to stop plastic waste from entering the ocean and fight poverty.

In August 2019, after 42 years of its inception, Business Roundtable,  that has periodically issued Principles of Corporate Governance, with emphasis on serving shareholders, has released a new statement of Purpose of a Corporation. This new statement was signed by 181 CEOs who have committed to lead their companies to benefit all stakeholders – customers, employees, suppliers, communities and shareholders.  Jamie Dimon, Chairman and CEO of JPMorgan Chase & Co., is the Chairman of Business Roundtable. He went on to say, “The American dream is alive, but fraying,” “Major employers are investing in their workers and communities because they know it is the only way to be successful over the long term. These modernized principles reflect the business community’s unwavering commitment to continue to push for an economy that serves all Americans.

Today the definition of corporate purpose seems to be changing. Companies are now focused on the environment and all the stakeholders.  There is a growing ambivalence about Capitalism that only promoted the pursuit of wealth, according to a Harvard Business School survey.

But this is a far cry from when we were growing up in India as youths, in the 1980s. Our definition of personal success was to expeditiously acquire wealth. Most of us who were studying Engineering, Medicine or pursuing other professional degrees, were all looking for a job that would sustain us and support our immediate family. The other option was to emigrate to America or other developed countries, for further studies and make a life here – to celebrate Capitalism in all its glory. 

In India, we were quite steeped in religious festivals and rituals. We attended Baal Mandir and had moral science in school, but the concept of Service, Altruism,  Seva, Sharing were largely platitudes and they were not a part of our daily lives.  There was an inbuilt cynicism about charity and we never felt that when we grow up, we need to think about the greater good of the society. 

And that is where Conscious Capitalism comes in. Instead of espousing Ayn Rand’s version of scorched earth capitalism, “ Selfishness is a Virtue”, or blindly following  Gordon Gekko’s “Greed is good”,  the media, parents, teachers, influence makers could promote and ingrain in all of the youth, students and people at large that there is merit in wealth creation, but it could be infused with altruism. We could celebrate the successful who also share. This could dispel the notion that charity and sharing of wealth is only for the rich and the famous.  

ai automation in cloud computing

America gets criticized for many things around the world, but often the world overlooks that the largest amount of charity and donations have been from the USA.  Bill & Melinda Gates Foundation, Warren Buffet, Larry Elison of Oracle who has pledged a significant portion of his wealth to the Bill & Melinda Gates Foundation, Mark Zuckerberg of Facebook and many others have absolutely embraced the concept of Conscious Capitalism for their corporations. But what would really broaden the pyramid, would be when early entrepreneurs and upcoming executives are also engaged in sharing and giving, and not wait till they reach the pinnacle of success. We cannot expect only governmental initiatives to support the underprivileged. We need to celebrate Conscious Capitalism and entrepreneurs and business leaders who are pursuing their dreams and are also sharing some portion of their wealth with the society.

At GAVS and through the Private Equity firm Basil Partners we are privileged to have been involved in an initiative to nurture and support a small isolated village named Ramanwadi in Maharashtra, through a project named Venu Madhuri (www.venumadhuri.org).  The volunteers involved in supporting this small village have brought success in several areas of rural development and the small hamlet is inching towards self-sufficiency.

Basil Partners along with Apar Industries seed-funded the Midday meal program, (www.annamrita.org)  that feeds almost 1.26 Million school students per day in Mumbai; and have promoted the Bhakti Vedanta Hospital in Mumbai.

These are all very humble efforts compared to some of the massive projects undertaken by the largest of groups and individuals. However, they all make a difference. I truly believe that we need to internalize some of the credo and values that have been espoused by H Fisk Johnson & the work companies like SC Johnson is doing, emulate Azim Premji, Satya Nadella and many others. They are the true ambassadors of Conscious Capitalism and are creating purposeful corporations. 

Machine Learning from Programmer’s Perspective

Gireesh Sreedhar KP

Introduction

Machine Learning (ML) is key pillar of the Artificial Intelligence (AI) domain. ML solves problems which are unimaginable using traditional programming paradigm. During my interactions with people on ML, I am frequently asked following key fundamental questions.

  1. What is Machine Learning (ML)?
  2. What is the need for ML programs when traditional programs have served us well for decades?
  3. What differentiates ML from traditional programming paradigm?

Let me answer above questions from a programmer’s perspective to build understanding irrespective of your ML background.

Traditional Programming Paradigm

We are familiar with traditional programming, where we use selected programming language (like C, Java, etc.) and program specific instruction or rules to process inputs which creates output we need.

Let us understand with an example, a retail store wants to write a program to find amount to be paid (Amount) given Quantity (q) and price per unit (p). We will solve this by writing code as below.

  1. Read two inputs ‘q’ and ‘p’ (Data)
  2. Amount = p*q (apply Rules, Rules are part of program, but shown as input for illustration)
  3. Return Amount (Output)

The need for Machine Learning

Let us try to solve same problem of computing ‘Amount’ from inputs ‘p’ and ‘q’. However this time we are required to read the inputs (p and q) from a piece of paper with digits either handwritten or printed. This needs program to recognize the digits from paper (images of digits received by program) before digits can be assigned to ‘p’ and ‘q’.

Let us examine traditional programming approach (writing rules) to recognize the images of digits received by program

  • Are rules scalable?
  • Can rules handle recognizing digits written in different orientations and styles? Say, when image received is program should recognize the image as digit 8.
  • There are over 70,000 samples of handwritten digits which are commonly used (refer MNIST database, sample below), can we write rules to cover all possible combinations?

Now it’s clear to us that rules-based approach will break and it’s not practical to build all rules and program those. We need something else instead of rules to solve these types of problems and that something else which replaces rules is Machine Learning.

What is Machine Learning?

Let us ask ourselves

  1. What differentiates the first problem statement (easily solved using rules) from the second one?
  2. Why a problem easily solved by humans (recognizing different styles digits by vision), is such a difficult task for computers?

We humans learn to identify digits which are written in standard format, however when presented with digits written in different styles and orientations, we are still able to recognize the digits identifying the patterns which are the beauty of human learning process. Can we make computers (machines) do the same and learn like humans? Let us understand how we make a machine to learn this task and perform like humans.

We will feed the Machine Learning program (ML) with lots of data (examples) containing images of digits in different styles and orientations along with actual digit it represents (supervised learning). Say one data point will be an image and mapped to corresponding digit 8. We are providing data along with the intended output as input to ML for learning. Processing lots of inputs, ML comes up with Rules or Patterns or Models to map an input to output we need (like humans).

This Rules/Pattern/Model learned by ML will be used to process new incoming data to produce output or sometimes called as Predictions.

What differentiates ML from traditional programming paradigm

The major difference between traditional program and ML is, traditional program applies rules on input data to produce output. However, ML takes output (outcomes we need) as input and produces Rules/Pattern/Models as output which are then used to process new inputs.

Why Machine Learning

Data-driven decisions increasingly make the difference between keeping up with the competition or falling further behind. Machine learning can be the key to unlocking the value of corporate and customer data and enacting decisions that keep a company ahead of the competition.

Machine Learning at GAVS

GAVS has own in-house Artificial Intelligence research team building advanced Machine Learning algorithm and techniques powering its products and solutions. ZIF (Zero Incident FrameworkTM) Artificial Intelligence-based Technology Operations (AIOps) from GAVS is powered by state-of-the-art Machine Learning algorithms developed in house.

About the Author:

Gireesh is a part of the projects run in collaboration with IIT Madras for developing AI solutions and algorithms. His interest includes Data Science, Machine Learning, Financial markets and Geo-politics. He believes that he is competing against himself to become better than who he was yesterday. He aspires to become a well-recognized subject matter expert in the field of Artificial Intelligence.

The Crucial Component of Data-driven Organizations

Sankul Seth

Data is a crucial component for any organization to generate revenue and provide the best-in-class experience for their customers. Various studies have shown that 60% of the organizations fail to implement UI tools, which are heavily dependent on data-driven technologies because organizations spend millions on buying these tools but not investing in the right talent to achieve them. Understanding of data is the first stepping stone for any organization to be data-driven. I implemented various data solutions from inception to implementation, which helped organizations to derive data-driven decisions. After fifteen years of extensive experience across multiple data technologies and platform, I have developed numerous critical data frameworks which have benefited organizations to be data-driven. The first essential pillar is to build a cohesive and robust enterprise data team.

Data Center Consolidation Initiative Services

Data is a driver for any business intelligence, analytics, insights, marketing campaigns, UI applications, tools, and technologies. It’s crucial to understand why and what the business needs before deciding to invest in any data technologies. Today, organizations are leveraging data for executing campaigns and defining customer 360-degree views to provide personalized and OMNI-channel experience using data KPIs. There are unlimited data tools available, and it became difficult to pick the right one, which fits all the requirements for the business and delivers a perfect solution. It all goes back to find the right leader who has deep experience on both sides of the coin (Business and Technology). It’s hard to find such talent but not impossible, and this decides the success or failure of any data implementation projects.

About the Author:

Sankul is the Vice President of the Enterprise Data Team at PSCU. is a value-driven and business-oriented data and IT technology leader with a proven track record for building enterprise applications and data-driven platforms. He believes the current generation and future leaders should be focused and good listeners, as it helps to perceive and deliver solutions.