Work Life Balance is Passé – Five Atomic Habits of Women who #ChooseToChallenge

Padma Ravichandran

The goal is not to read a book; the goal is to become a reader. The goal is not to run a marathon, the goal is to become a runner, says James Clear in his book, Atomic Habits. When your identity emerges out of habits, it made me ponder on the atomic habits of working women, especially the ones who say, it is not difficult to have it all.  With the onset of the pandemic, social media saw a surge of people sharing a typical workday in a pandemic – and organizations started recognizing the power of authentic self –what we had attempted to fathom for years, happened seamlessly – work-life integration. But for those, who know how to Lean In and #ChooseToChallenge, have cracked that work-life balance is passé, and have been focusing on atomic habits to create Work-Life Harmony.

As we march into the month of International Women’s Day with this year’s theme of #ChooseToChallenge, here are some conscious habits that I have observed, and got inspired by in Women who Lean In –

  1. Have a vision of what you want to be – and align it with your purpose and values.

Thinking long term to stay in the game, needs focus on values. With the power of visualization, hurdles are easier to surmount, and your mind is aligned to our vision and crosses the challenges that come in the way. Women who #ChooseToChallenge, focus on the traits that make them successful at work, such as organizing skills, team collaboration, transparency, which also helps them be a ‘successful’ parent! Sometimes we must find the model that is aligned with our purpose with some innovation and ask for specifics. This not only helps build trust but also enables one to create an impact.

  1. Know how to focus, when at work.

Women who #ChooseToChallenge always strive to have an internal positive monologue where work brings intrinsic joy. When we structure our day for success, prioritizing automatically falls in place. Knowing how not to take a bad day home, or vice versa takes endurance and unwavering focus. One of the key tips to staying focused is to recharge oneself. Despite the structured rituals and planning, ensuring there are pockets of freedom, where you can invest in your personal development, kindles more innovation.

  1. Understand the power of relationships.

It is not just about understanding and investing in the power of relationships at work – but in all spheres of life. Purpose-driven organizations do not have a command and control approach to work, but focus more on nurturing relationships at work, and encourage everyone to bring one’s most authentic self to work and enable you to find the right anchors and mentors. This allows oneself to ask for direction and keep rebalancing. It can even be collaborating with teachers of the kids, setting meaningful expectations with partners, or having honest conversations with co-workers, in the spirit of respect, and trust, which in turn builds a valued community of support.

  1. Define self-care, more broadly.

When one chooses to challenge, the buck doesn’t stop in taking care of health and fitness, it transcends to emotions, environment, relationships, time, resources, as self-care attributes to enhanced creativity, faster learning, a sharper memory, and of course elevates moods, which has an implication on workplace performance. Self-care at work could be surrounding ourselves with inspiring and supporting people or updating our workspace with inspiring artwork.

  1. Present yourself authentically.

When choosing to challenge, perhaps the status quo, women are mindful that it is not possible to achieve a perfect equilibrium– and know-how and where to get help when one aspect takes the center stage. We all intuitively know our authentic self but sometimes we shield it even from our own selves; it needs the courage to be authentic. Learn to say no respectfully and step away if something is veering you off your authentic self. When we are our authentic selves, it is easy to have conversations with the key stakeholders on where we need help and navigate forward to pursue what we care about the most in every aspect of our life. 

Work, Self, Home, and Community are not separate chambers with different identities. Attempting to integrate the aspects and the different roles we play in each, by focusing on the larger purpose helps us to be more engaged and productive in all the segments of life.

Reference 

www.hbr.org

About the Author –

Padma Ravichandran is part of the Talent Management Team is intrigued by Organization Culture and Behaviours at the workplace that impact employee experience. She is also passionate about driving meaningful initiatives for enabling women to Lean In, along with her fellow Sheroes. She enjoys reading books, journaling, yoga, and learning more about life through the eyes of her 8-year-old son.

Accelerating Out of Crisis with Digital Transformation

Gouri Mahendru

Undoubtedly, business over the past few months has been unlike ever before. With the COVID-19 pandemic shutting physical stores, restaurants, and offices the world over, organizations of all shapes and sizes were compelled to move their businesses online and we were reminded of the power of technology as an enabler of success.

As businesses look beyond the immediate impacts of COVID-19, it’s time to adopt a connected enterprise mindset and accelerate digital transformation.

The New Customer Experience

When lockdown hit, customer service teams on the frontline found themselves at the centre of a perfect storm. Dealing with both the instant switch to remote working and staffing shortages due to the pandemic, they had to manage a huge influx in phone and email enquiries from customers struggling to keep their cool as they tried to rearrange cancelled bookings and secure refunds.

From market research, we know there is still a significant disconnect between the service businesses believe they are delivering, and the service customers believe they are getting. While the situation remains precarious, now is the time to focus on delivering fast, transparent, and verified support. Putting the right technology at the heart of this transformation will be key to success.

Reimagining CX in the wake of the pandemic

Many businesses shifted their operations online to continue selling safely through the pandemic, with worldwide spending on digital transformation technologies and services expected to rise by over 10% in 2020.

This has opened a vast array of new communication platforms on which organizations can engage with their customers. But businesses must ensure they are strengthening the bridge between their different channels to ensure a consistent customer experience. Omnichannel strategies have become a necessity, as companies find new ways to interact with their customer base on the channels they are using the most. Taking support to their customers rather than bringing them to support is critical.

Here are some useful tips for reinventing your customer experience with a supercharged omnichannel approach.

1.     No two customers are the same

People like to be treated as individuals and want to raise issues in the environment that they’re most comfortable in. It’s no good for businesses to invest heavily in one channel at the risk of another, as they could end up isolating a big customer segment.

Being able to support customers through email, phone, and chat services in a single, streamlined solution can help businesses deliver a better overall experience. The last thing customers want to do is repeat themselves when they switch between a chatbot interaction, text, email, or phone exchange. Offering a seamless experience means a customer’s query is logged once and shared across all communication channels, reducing the likelihood of them becoming dissatisfied with the service they are receiving.

2.     Look inward, as well as outward

It’s not just your customer-facing technology that you should consider, you also need to think about the internal systems that can help improve your target market’s perception of the company. Taking an omnichannel approach to customer communication provides multiple platforms to collect customer data. With more data, you can build a better picture of the average customer journey – from awareness and consideration to purchase – and deliver a better experience for each of them.

By offering your customers multiple touchpoints to interact with your brand, they can get everything they need from a single source of truth, without having to switch between the channels.

3.     Tweak and optimize campaigns as necessary

To succeed in hitting the right tone, keeping existing customers, and attracting new ones, you should understand exactly which marketing campaigns are resonating, and which aren’t. The results right now are likely to be very different to ‘business as usual’ – so the approach taken needs to be tailored to each customer accordingly.

Surveys of sales leaders during COVID-19 found that 62% have directed their teams to spend more time in their CRM system, looking at what insights they can glean from it. The CRM system is a powerful tool for collecting data and learning more about each customer, with the goal of delivering a better experience and building trust between buyer and seller.

Whatever systems you deploy, it’s important to be mindful of how your customers want to interact with you, not the other way around. As customers look to support the businesses that are looking after them the most, offering a consistent experience across your channels is key to securing loyal customers and repeat business.

Smarter CX starts with AI

There is a growing AI revolution taking place in customer service centers. Our own research found that a quarter of businesses want to use AI to improve their customers’ experience of their brand. This is hugely encouraging for the industry, but organizations shouldn’t invest in AI just for the sake of it. They need to find areas in which its use will see the most value.

For example, over a quarter (27%) said that their biggest frustration when dealing with customer service agents was being left on hold for too long. This issue has been exacerbated further by the huge volume of enquiries customer support teams now find themselves facing, with some customers waiting hours before getting through. AI-powered chatbots can remove some of this backlog by automating simple questions and routing customer chats that require urgent attention through to human service agents.

We know that consumers prize human interaction, especially during a time when it is so limited. For this reason, AI should only be brought into augment, not replace human customer service agents. In doing so, businesses can develop AIs that mimic the behaviour of their best agents, while freeing up their time to focus on trickier cases. This will ultimately lead to more positive outcomes, better all-round customer experiences, greater brand loyalty, and increased long-term value.

About the Author –

Gouri is part of the Quality Management function at GAVS, handling the Operations and Delivery excellence within ZIF Command Centres. She is passionate about driving business excellence through innovative IT Service Management in the Digital era and always looks for ways to deliver business value.
When she’s not playing with data and pivoting tables, she spends her time cooking, watching dramas and thrillers, and exploring places in and around the city.

Happy Birthday MLK – My ode to the Free Thinkers, Disruptors, and Iconoclasts

Sumit Ganguli

CEO, GAVS Technologies

While we were gearing up for the weekend, I noticed that Monday, January 18, is Rev. Martin Luther King Jr.’s birth anniversary. This coupled with the overcast sky and cool winter day all conspired to make me sit back and reminisce about the events of the past few months.

Working from home, I have become accustomed to keeping my TV on mute, alternating between CNN and Fox News while I go through my emails, video conferences and other work routines. And that is when I saw the traumatic video of George Floyd’s death in Minneapolis and the massive demonstrations that ensued across the US and in other parts of the world. The Black Lives Matter movement rightfully gained immense momentum and soon #BlackLivesMatter became one of the most trending of all hashtags.

An avid tennis fan, I got to watch the US Open on TV this year, being played without any spectators.  But I was most inspired by the young Japanese tennis player, Naomi Osaka who went on to win the US Open and decided to draw attention to the #BLM by wearing the names of seven black victims who were being memorialized by the BLM movement. She succeeded in persuading me to read more about the movement and many of the victims.    

Cut to the present, we now have our first Black Vice President elect Kamala Harris who is of Jamaican and Indian heritage. Just the other day, my 90-year-old mother who is in Bangalore and is quite a political junkie, challenged me to name the Indian lady who was announced to be a member of Mr. Joe Biden’s economic committee. Convinced that my Mother was mistaken, I told her that Janet Yellen was not Indian. But she insisted and then I recalled that Ms. Neera Tanden has been nominated to head the Office of Management and Budget.

The Indian diaspora has been deservedly proud of the achievements of the Indian leaders in America – Satya Nadella, Microsoft; Arvind Krishna, IBM; Ajay Banga, Mastercard; Nandita Bakshi, Bank of the West & Federal Reserve Bank; Sanat Chattopadhyay, Merck; Niren Chaudhury, Panera Bread – and with Reverend Martin Luther King’s birth anniversary round the corner, I think it is  opportune for us to celebrate the avantgarde Free thinkers, Disruptors, and Iconoclasts, who made this possible for some of this happen.  

In the morning, I bathe my intellect in the stupendous and cosmogonal philosophy of the Bhagvat Geeta, since whose composition years of the Gods have elapsed, and in comparison with which our modern world and its literature seem puny and trivial…The pure Walden water is mingled with the sacred water of the Ganges” (Thoreau, Walden).

In 1854’s Boston, Henry David Thoreau and Ralph Waldo Emerson, derived a lot of their concept of Transcendentalism, Non-Violence, and Civil Disobedience from the concepts of Ahimsa and Dharma from the ancient Indian scriptures, the Upanishads and the Gita. They read this at the Harvard Library and wrote extensively about it.

In 1893, a man got thrown out of a train in South Africa, which led him to take on the mighty British and launch his Satyagraha movement to fight for India’s independence. His movement in turn was highly influenced by Thoreau’s Civil Disobedience. That man, of course is known around the world as Mahatma Gandhi. 

From 1954 to 1968, Rev. Martin Luther King Jr. and other activists launched the Civil Rights Movement in America. He drew inspiration from Gandhi’s philosophy who has been immortalized as the Father of the Nation in India. This is truly a circle of ideas that traversed oceans and continents.

Today, we are all beneficiaries of largesse of the thoughts and visions of these great luminaries. On MLK’s birthday, Monday, January 18, I believe we will be well served to pay our ode to the Reverend and his fellow free thinkers John Lewis, Rosa Parks, and many others for their audacious vision, temerity, and currency of ideas and ideals –  for these disruptors, iconoclasts made it possible for us to live the life of our dreams in America, a country that we have come to love and cherish.  

Why is AIOps an Industrial Benchmark for Organizations to Scale in this Economy?

Ashish Joseph

Business Environment Overview

In this pandemic economy, the topmost priorities for most companies are to make sure the operations costs and business processes are optimized and streamlined. Organizations must be more proactive than ever and identify gaps that need to be acted upon at the earliest.

The industry has been striving towards efficiency and effectivity in its operations day in and day out. As a reliability check to ensure operational standards, many organizations consider the following levers:

  1. High Application Availability & Reliability
  2. Optimized Performance Tuning & Monitoring
  3. Operational gains & Cost Optimization
  4. Generation of Actionable Insights for Efficiency
  5. Workforce Productivity Improvement

Organizations that have prioritized the above levers in their daily operations require dedicated teams to analyze different silos and implement solutions that provide the result. Running projects of this complexity affects the scalability and monitoring of these systems. This is where AIOps platforms come in to provide customized solutions for the growing needs of all organizations, regardless of the size.

Deep Dive into AIOps

Artificial Intelligence for IT Operations (AIOps) is a platform that provides multilayers of functionalities that leverage machine learning and analytics.  Gartner defines AIOps as a combination of big data and machine learning functionalities that empower IT functions, enabling scalability and robustness of its entire ecosystem.

These systems transform the existing landscape to analyze and correlate historical and real-time data to provide actionable intelligence in an automated fashion.

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AIOps platforms are designed to handle large volumes of data. The tools offer various data collection methods, integration of multiple data sources, and generate visual analytical intelligence. These tools are centralized and flexible across directly and indirectly coupled IT operations for data insights.

The platform aims to bring an organization’s infrastructure monitoring, application performance monitoring, and IT systems management process under a single roof to enable big data analytics that give correlation and causality insights across all domains. These functionalities open different avenues for system engineers to proactively determine how to optimize application performance, quickly find the potential root causes, and design preventive steps to avoid issues from ever happening.

AIOps has transformed the culture of IT war rooms from reactive to proactive firefighting.

Industrial Inclination to Transformation

The pandemic economy has challenged the traditional way companies choose their transformational strategies. Machine learning-powered automations for creating an autonomous IT environment is no longer a luxury. The usage of mathematical and logical algorithms to derive solutions and forecasts for issues have a direct correlation with the overall customer experience. In this pandemic economy, customer attrition has a serious impact on the annual recurring revenue. Hence, organizations must reposition their strategies to be more customer-centric in everything they do. Thus, providing customers with the best-in-class service coupled with continuous availability and enhanced reliability has become an industry standard.

As reliability and scalability are crucial factors for any company’s growth, cloud technologies have seen a growing demand. This shift of demand for cloud premises for core businesses has made AIOps platforms more accessible and easier to integrate. With the handshake between analytics and automation, AIOps has become a transformative technology investment that any organization can make.

As organizations scale in size, so does the workforce and the complexity of the processes. The increase in size often burdens organizations with time-pressed teams having high pressure on delivery and reactive housekeeping strategies. An organization must be ready to meet the present and future demands with systems and processes that scale seamlessly. This why AIOps platforms serve as a multilayered functional solution that integrates the existing systems to manage and automate tasks with efficiency and effectivity. When scaling results in process complexity, AIOps platforms convert the complexity to effort savings and productivity enhancements.

Across the industry, many organizations have implemented AIOps platforms as transformative solutions to help them embrace their present and future demand. Various studies have been conducted by different research groups that have quantified the effort savings and productivity improvements.

The AIOps Organizational Vision

As the digital transformation race has been in full throttle during the pandemic, AIOps platforms have also evolved. The industry did venture upon traditional event correlation and operations analytical tools that helped organizations reduce incidents and the overall MTTR. AIOps has been relatively new in the market as Gartner had coined the phrase in 2016.  Today, AIOps has attracted a lot of attention from multiple industries to analyze its feasibility of implementation and the return of investment from the overall transformation. Google trends show a significant increase in user search results for AIOps during the last couple of years.

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While taking a well-informed decision to include AIOps into the organization’s vision of growth, we must analyze the following:

  1. Understanding the feasibility and concerns for its future adoption
  2. Classification of business processes and use cases for AIOps intervention
  3. Quantification of operational gains from incident management using the functional AIOps tools

AIOps is truly visioned to provide tools that transform system engineers to reliability engineers to bring a system that trends towards zero incidents.

Because above all, Zero is the New Normal.

About the Author –

Ashish Joseph is a Lead Consultant at GAVS working for a healthcare client in the Product Management space. His areas of expertise lie in branding and outbound product management. He runs a series called #BizPective on LinkedIn and Instagram focusing on contemporary business trends from a different perspective. Outside work, he is very passionate about basketball, music, and food.

Patient Segmentation Using Data Mining Techniques

Srinivasan Sundararajan

Srinivasan Sundararajan

Patient Segmentation & Quality Patient Care

As the need for quality and cost-effective patient care increases, healthcare providers are increasingly focusing on data-driven diagnostics while continuing to utilize their hard-earned human intelligence. Simply put, data-driven healthcare is augmenting the human intelligence based on experience and knowledge.

Segmentation is the standard technique used in Retail, Banking, Manufacturing, and other industries that needs to understand their customers to provide better customer service. Customer segmentation defines the behavioral and descriptive profiles of customers. These profiles are then used to provide personalized marketing programs and strategies for each group.

In a way, patients are like customers to healthcare providers. Though the element of quality of care takes precedence than profit-making intention, a similar segmentation of patients will immensely benefit the healthcare providers, mainly for the following reasons:

  • Customizing the patient care based on their behavior profiles
  • Enabling a stronger patient engagement
  • Providing the backbone for data-driven decisions on patient profile
  • Performing advanced medical research like launching a new vaccine or trial

The benefits are obvious and individual hospitals may add more points to the above list; the rest of the article is about how to perform the patient segmentation using data mining techniques.

Data Mining for Patient Segmentation

In Data Mining a, segmentation or clustering algorithm will iterate over cases in a dataset to group them into clusters that contain similar characteristics. These groupings are useful for exploring data, identifying anomalies in the data, and creating predictions. Clustering is an unsupervised data mining (machine learning) technique used for grouping the data elements without advance knowledge of the group definitions.

K-means clustering is a well-known method of assigning cluster membership by minimizing the differences among items in a cluster while maximizing the distance between clusters. Clustering algorithm first identifies relationships in a dataset and generates a series of clusters based on those relationships. A scatter plot is a useful way to visually represent how the algorithm groups data, as shown in the following diagram. The scatter plot represents all the cases in the dataset, and each case is a point on the graph. The cluster points on the graph illustrate the relationships that the algorithm identifies.

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One of the important parameters for a K-Means algorithm is the number of clusters or the cluster count. We need to set this to a value that is meaningful to the business problem that needs to be solved. However, there is good support in the algorithm to find the optimal number of clusters for a given data set, as explained next.

To determine the number of clusters for the algorithm to use, we can use a plot of the within cluster’s sum of squares, by the number of clusters extracted. The appropriate number of clusters to use is at the bend or ‘elbow’ of the plot. The Elbow Method is one of the most popular methods to determine this optimal value of k i.e. the number of clusters. The following code creates a curve.

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In this example, based on the graph, it looks like k = 4 would be a good value to try.

Reference Patient Segmentation Using K-Means Algorithm in GAVS Rhodium Platform

In GAVS Rhodium Platform, which helps healthcare providers with Patient Data Management and Patient Data Sharing, there is a reference implementation of Patient Segmentation using K-Means algorithm. The following are the attributes that are used based on a publicly available Patient admit data (no personal information used in this data set). Again in the reference implementation sample attributes are used and in a real scenario consulting with healthcare practitioners will help to identify the correct attributes that is used for clustering.

 To prepare the data for clustering patients, patients must be separated along the following dimensions:

  • HbA1c: Measuring the glycated form of hemoglobin to obtain the three-month average of blood sugar.
  • Triglycerides: Triglycerides are the main constituents of natural fats and oils. This test indicates the amount of fat or lipid found in the blood.
  • FBG: Fasting Plasma Glucose test measures the amount of glucose levels present in the blood.
  • Systolic: Blood Pressure is the pressure of circulating blood against the walls of Blood Vessels. This test relates to the phase of the heartbeat when the heart muscle contracts and pumps blood from the chambers into the arteries.
  • Diastolic: The diastolic reading is the pressure in the arteries when the heart rests between beats.
  • Insulin: Insulin is a hormone that helps move blood sugar, known as glucose, from your bloodstream into your cells. This test measures the amount of insulin in your blood.
  • HDL-C: Cholesterol is a fat-like substance that the body uses as a building block to produce hormones. HDL-C or good cholesterol consists primarily of protein with a small amount of cholesterol. It is considered to be beneficial because it removes excess cholesterol from tissues and carries it to the liver for disposal. The test for HDL cholesterol measures the amount of HDL-C in blood.
  • LDL-C: LDL-C or bad cholesterol present in the blood as low-density lipoprotein, a relatively high proportion of which is associated with a higher risk of coronary heart disease. This test measures the LDL-C present in the blood.
  • Weight: This test indicates the heaviness of the patient.

The above tests are taken for the patients during the admission process.

The following is the code snippet behind the scenes which create the patient clustering.

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The below is the output cluster created from the above algorithm.

Just from this sample, healthcare providers can infer the patient behavior and patterns based on their creatinine and glucose levels, in real-life situations other different attributes can be used.

AI will play a major role in future healthcare data management and decision making and data mining algorithms like K-Means provide an option to segment the patients based on the attributes which will improve the quality of patient care.

About the Author –

Srini is the Technology Advisor for GAVS. He is currently focused on Healthcare Data Management Solutions for the post-pandemic Healthcare era, using the combination of Multi Modal databases, Blockchain and Data Mining. The solutions aim at Patient data sharing within Hospitals as well as across Hospitals (Healthcare Interoprability), while bringing more trust and transparency into the healthcare process using patient consent management, credentialing and zero knowledge proofs.

Customer Focus Realignment in a Pandemic Economy

Ashish Joseph

Business Environment Overview

The Pandemic Economy has created an environment that has tested businesses to either adapt or perish. The atmosphere has become a quest for the survival of the fittest. On the brighter side, organizations have stepped up and adapted to the crisis in a way that they have worked faster and better than ever before. 

During this crisis, companies have been strategic in understanding their focus areas and where to concentrate on the most. From a high-level perspective, we can see that businesses have focused on recovering the sources of their revenues, rebuilding operations, restructuring the organization, and accelerating their digital transformation initiatives. In a way, the pandemic has forced companies to optimize their strategies and harness their core competencies in a hyper-competitive and survival environment.

Need for Customer Focused Strategies

A pivotal and integral strategy to maintain and sustain growth is for businesses to avoid the churn of their existing customers and ensure the quality of delivery can build their trust for future collaborations and referrals. Many organizations, including GAVS, have understood that Customer Experience and Customer Success is consequential for customer retention and brand affinity. 

Businesses should realign themselves in the way they look at sales funnels. A large portion of the annual budget is usually allocated towards the top of the funnel activities to acquire more customers. But companies with customer success engraved in their souls, believe in the ideology that the bottom of the funnel feeds the top of the funnel. This strategy results in a self-sustaining and recurring revenue model for the business.

An independent survey conducted by the Customer Service Managers and Professionals Journal has found that companies pay 6x times more to acquire new customers than to keep an existing one. In this pandemic economy, the costs for customer acquisition will be much higher than before as organizations must be very frivolous in their spending. The best step forward is to make sure the companies strive for excellence in their customer experience and deliver measurable value to them. A study conducted by Bain and Company titled “Prescription for Cutting Costs” talks about how increasing customer retention by 5% increases profits from 25%-95%. 

The path to a sustainable and high growth business is to adopt customer-centric strategies that yield more value and growth for its customers. Enhancing customer experience should be prime and proper governance must be in place to monitor and gauge strategies. Governance in the world of the customer experience must revolve around identifying and managing resources needed to drive sustained actions, establishing robust procedures to organize processes, and ensuring a framework for stellar delivery.

Scaling to ever-changing customer needs

A research body called Walker Information conducted an independent research on B2B companies focusing on key initiatives that drive customer experiences and future growth. The study included various customer experience leaders, senior executives, and influencers representing a diverse set of business models in the industry. They published the report titled “Customer 2020: A Progress Report” and the following are strategies that best meet the changing needs of customers in the B2B landscape.

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Over 45% of the leaders highlighted the importance of developing a customer-centric culture that simplifies products and processes for the business. Now the question that we need to ask ourselves is, how do we as an organization scale up to these demands of the market? I strongly believe that each of us, in the different roles we play in the organization, has an impact.

The Executive Team can support more customer experience strategies, formulate success metrics, measure the impact of customer success initiatives, and ensure alignment with respect to the corporate strategy.

The Client Partners can ensure that they represent the voice of the customer, plot a feasible customer experience roadmap, be on point with customer intelligence data, and ensure transparency and communication with the teams and the customers. 

The cross-functional team managers and members can own and execute process improvements, personalize and customize customer journeys, and monitor key delivery metrics.

When all these members work in unison, the target goal of delivery excellence coupled with customer success is always achievable.

Going Above and Beyond

Organizations should aim for customers who can be retained for life. The retention depends upon how much a business is willing to go the extra mile to add measurable value to its customers. Business contracts should evolve into partnerships that collaborate on their competitive advantages that bring solutions to real-world business problems. 

As customer success champions, we should reevaluate the possibilities in which we can make a difference for our customers. By focusing on our core competencies and using the latest tools in the market, we can look for avenues that can bring effort savings, productivity enhancements, process improvements, workflow optimizations, and business transformations that change the way our customers do business. 

After all, We are GAVS. We aim to galvanize a sense of measurable success through our committed teams and innovative solutions. We should always stride towards delivery excellence and strive for customer success in everything we do.

About the Author –

Ashish Joseph is a Lead Consultant at GAVS working for a healthcare client in the Product Management space. His areas of expertise lie in branding and outbound product management.

He runs a series called #BizPective on LinkedIn and Instagram focusing on contemporary business trends from a different perspective. Outside work, he is very passionate about basketball, music, and food.

Patient 360 & Journey Mapping using Graph Technology

Srinivasan Sundararajan

360 Degree View of Patient

With rising demands for quality and cost-effective patient care, healthcare providers are focusing on data-driven diagnostics while continuing to utilize their hard-earned human intelligence. In other words, data-driven healthcare is augmenting human intelligence.

360 Degree View of Patient, as it is called, plays a major role in delivering the required information to the providers. It is a unified view of all the available information about a patient. It could include but is not limited to the following information:

  • Appointments made by the patients
  • Interaction with different doctors
  • Medications prescribed by the doctors
  • Patient’s relationship to other patients within the eco-systems specially to identify the family history related risks
  • Patient’s admission to hospitals or other healthcare facilities
  • Discharge and ongoing care
  • Patient personal wellness activities
  • Patient billing and insurance information
  • Linkages to the same patient in multiple disparate databases within the same hospital
  • Information about a patient’s involvement in various seminars, medical-related conferences, and other events

Limitations of Current Methods

As evident in most hospitals, these information are usually scattered across multiple data sources/databases. Hospitals typically create a data warehouse by consolidating information from multiple resources and try to create a unified database. However, this approach is done using relational databases and the relational databases rely on joining tables across entities to arrive at a complete picture. The RDBMS is not meant to handle relationships which extend to multiple hops and require drilling down to many levels.

Role of Graph Technology & Graph Databases

A graph database is a collection of nodes (or entities typically) and edges (or relationships). A node represents an entity (for example, a person or an organization) and an edge represents a relationship between the two nodes that it connects (for example, friends). Both nodes and edges may have properties associated with them.

While there are multiple graph databases in the market today like, Neo4J, JanusGraph, TigerGraph, the following technical discussions pertain to graph database that is part of SQL server 2019. The main advantage of this approach is that it helps utilize the best RDBMS features wherever applicable, while keeping the graph database options for complex relationships like 360 degree view of patients, making it a true polyglot persistence architecture.

As mentioned above, in SQL Server 2019 a graph database is a collection of node tables and edge tables. A node table represents an entity in a graph schema. An edge table represents a relationship in a graph. Edges are always directed and connect two nodes. An edge table enables users to model many-to-many relationships in the graph. Normal SQL Insert statements are used to create records into both node and edge tables.

While the node tables and edge tables represent the storage of graph data there are some specialized commands which act as extension of SQL and help with traversing between the nodes to get the full details like patient 360 degree data.

MATCH statement

MATCH statement links two node tables through a link table, such that complex relationships can be retrieved. An example,

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SHORTEST_PATH statement

It finds the relationship path between two node tables by performing multiple hops recursively. It is one of the useful statements to find the 360 degree of a patient.

There are more options and statements as part of graph processing. Together it will help identify complex relationships across business entities and retrieve them.

GRAPH processing In Rhodium  

As mentioned in my earlier articles (Healthcare Data Sharing & Zero Knowledge Proofs in Healthcare Data Sharing), GAVS Rhodium framework enables Patient and Data Management and Patient Data Sharing and graph databases play a major part in providing patient 360 as well as for provider (doctor) credentialing data. The below screen shots show the samples from reference implementation.

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Patient Journey Mapping

Typically, a patient’s interaction with the healthcare service provider goes through a cycle of events. The goal of the provider organization is to make this journey smooth and provide the best care to the patients. It should be noted that not all patients go through this journey in a sequential manner, some may start the journey at a particular point and may skip some intermediate journey points. Proper data collection of events behind patient journey mapping will also help with the future prediction of events which will ultimately help with patient care.

Patient 360 data collection plays a major role in building the patient journey mapping. While there could be multiple definitions, the following is one of the examples of mapping between patient 360-degree events and patient journey mapping.

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The below diagram shows an example of a patient journey mapping information.

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Understanding patients better is essential for improving patient outcomes. 360 degree of patients and patient journey mapping are key components for providing such insights. While traditional technologies lack the need of providing those links, graph databases and graph processing will play a major role in patient data management.

About the Author –

Srini is the Technology Advisor for GAVS. He is currently focused on Data Management Solutions for new-age enterprises using the combination of Multi Modal databases, Blockchain and Data Mining. The solutions aim at data sharing within enterprises as well as with external stakeholders.

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.

Enabling Success through Servant Leadership

Vasu

Vasudevan Gopalan

Servant Leadership – does it seem like a dichotomy? Well, it is not so. In this new age of Agile and Digital Transformation, this is a much sought-after trait in Leaders by their Organizations.

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The goal of Servant Leadership is to Serve. It involves the leader supporting and empowering their teams and thus enabling Success. The paradigm shift in the thought process here is that – instead of the people working to serve the leader, the leader exists to serve the team. And do remember that a Servant Leader is a Servant first, Leader next – not the other way around 😊

In today’s Agile world of Software Delivery, the Scrum Master needs to be a Servant Leader.

So, what are the characteristics of a Servant Leader?

  • Self-aware
  • Humble
  • Integrity
  • Result-oriented
  • Has foresight
  • Listener
  • Doesn’t abuse authority
  • Intellectual authority
  • Collaborative
  • Trusting
  • Coach
  • Resolves conflict

As you can see here, it is all about achieving results through people empowerment. When people realize that their Leader helps every team member build a deep sense of community and belonging in the workplace, there is a higher degree of accountability and responsibility carried out in their work.

Ultimately, a Servant Leader wants to help others thrive, and is happy to put the team’s needs before their own. They care about people and understand that the best results are produced not through top-down delegation but by building people up. People need psychological safety and autonomy to be creative and innovative.

As Patrick Lencioni describes, Humility is one of the 3 main pillars for ideal team players. Humility is “the feeling or attitude that you have no special importance that makes you better than others”.

Behaviors of Humble Agile Servant Leaders

  • Deep listening and observing
  • Openness towards new ideas from team members
  • Appreciating strengths and contributions of team members
  • Seek contributions of team members to overcome challenges and limitations together
  • Be coachable coaches – i.e. Coach others, and simultaneously be easy to be coached by others

Humility’s foe – Arrogance

In Robert Hogan’s terms, arrogance makes “the most destructive leaders” and “is the critical factor driving flawed decision-makers” who “create the slippery slope to organizational failure”.

Humility in Practice

A study on the personality of CEOs of some of the top Fortune 1000 Companies shows that what makes these companies successful as they are is the CEOs’ humility. These CEOs share two sets of qualities seemingly contradictory but always back each other up strongly:

  • They are “self-effacing, quiet, reserved, even shy”. They are modest. And they admit mistakes.
  • At the same time, behind this reserved exterior, they are “fiercely ambitious, tremendously competitive, tenacious”. They have strong self-confidence and self-esteem. And they’re willing to listen to feedback and solicit input from knowledgeable subordinates.

According to Dr. Robert Hogan (2018), these characteristics of humility create “an environment of continuous improvement”.

What are the benefits of being a humble Servant Leader?

  • Increase inclusiveness – the foundation of trust
  • Strengthen the bond with peers – the basis of well-being
  • Deepen awareness
  • Improve empathy
  • Increase staff engagement

So, what do you think would be the outcomes for organizations that have practicing Servant Leaders?

Source:

https://www.bridge-global.com/blog/5-excellent-tips-to-become-a-supercharged-agile-leader/

About the Author –

Vasu heads the 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 is a fitness enthusiast.

Zero Knowledge Proofs in Healthcare Data Sharing

Srinivasan Sundararajan

Recap of Healthcare Data Sharing

In my previous article (https://www.gavstech.com/healthcare-data-sharing/), I had elaborated on the challenges of Patient Master Data Management, Patient 360, and associated Patient Data Sharing. I had also outlined how our Rhodium framework is positioned to address the challenges of Patient Data Management and data sharing using a combination of multi-modal databases and Blockchain.

In this context, I have highlighted our maturity levels and the journey of Patient Data Sharing as follows:

  • Single Hospital
  • Between Hospitals part of HIE (Health Information Exchange)
  • Between Hospitals and Patients
  • Between Hospitals, Patients, and Other External Stakeholders

In each of the stages of the journey, I have highlighted various use cases. For example, in the third level of health data sharing between Hospitals and Patients, the use cases of consent management involving patients as well as monetization of personal data by patients themselves are mentioned.

In the fourth level of the journey, you must’ve read about the use case “Zero Knowledge Proofs”. In this article, I would be elaborating on:

  • What is Zero Knowledge Proof (ZKP)?
  • What is its role and importance in Healthcare Data Sharing?
  • How Blockchain Powered GAVS Rhodium Platform helps address the needs of ZKP?

Introduction to Zero Knowledge Proof

As the name suggests, Zero Knowledge Proof is about proving something without revealing the data behind that proof. Each transaction has a ‘verifier’ and a ‘prover’. In a transaction using ZKPs, the prover attempts to prove something to the verifier without revealing any other details to the verifier.

Zero Knowledge Proofs in Healthcare 

In today’s healthcare industry, a lot of time-consuming due diligence is done based on a lack of trust.

  • Insurance companies are always wary of fraudulent claims (which is anyhow a major issue), hence a lot of documentation and details are obtained and analyzed.
  • Hospitals, at the time of patient admission, need to know more about the patient, their insurance status, payment options, etc., hence they do detailed checks.
  • Pharmacists may have to verify that the Patient is indeed advised to take the medicines and give the same to the patients.
  • Patients most times also want to make sure that the diagnosis and treatment given to them are indeed proper and no wrong diagnosis is done.
  • Patients also want to ensure that doctors have legitimate licenses with no history of malpractice or any other wrongdoing.

In a healthcare scenario, either of the parties, i.e. patient, hospital, pharmacy, insurance companies, can take on the role of a verifier, and typically patients and sometimes hospitals are the provers.

While the ZKP can be applied to any of the transactions involving the above parties, currently the research in the industry is mostly focused on patient privacy rights and ZKP initiatives target more on how much or less of information a patient (prover) can share to a verifier before getting the required service based on the assertion of that proof.

Blockchain & Zero Knowledge Proof

While I am not getting into the fundamentals of Blockchain, but the readers should understand that one of the fundamental backbones of Blockchain is trust within the context of pseudo anonymity. In other words, some of the earlier uses of Blockchain, like cryptocurrency, aim to promote trust between unknown individuals without revealing any of their personal identities, yet allowing participation in a transaction.

Some of the characteristics of the Blockchain transaction that makes it conducive for Zero Knowledge Proofs are as follows:

  • Each transaction is initiated in the form of a smart contract.
  • Smart contract instance (i.e. the particular invocation of that smart contract) has an owner i.e. the public key of the account holder who creates the same, for example, a patient’s medical record can be created and owned by the patient themselves.
  • The other party can trust that transaction as long the other party knows the public key of the initiator.
  • Some of the important aspects of an approval life cycle like validation, approval, rejection, can be delegated to other stakeholders by delegating that task to the respective public key of that stakeholder.
  • For example, if a doctor needs to approve a medical condition of a patient, the same can be delegated to the doctor and only that particular doctor can approve it.
  • The anonymity of a person can be maintained, as everyone will see only the public key and other details can be hidden.
  • Some of the approval documents can be transferred using off-chain means (outside of the blockchain), such that participants of the blockchain will only see the proof of a claim but not the details behind it.
  • Further extending the data transfer with encryption of the sender’s private/public keys can lead to more advanced use cases.

Role of Blockchain Consortium

While Zero Knowledge Proofs can be implemented in any Blockchain platform including totally uncontrolled public blockchain platforms, their usage is best realized in private Blockchain consortiums. Here the identity of all participants is known, and each participant trusts the other, but the due diligence that is needed with the actual submission of proof is avoided.

Organizations that are part of similar domains and business processes form a Blockchain Network to get business benefits of their own processes. Such a Controlled Network among the known and identified organizations is known as a Consortium Blockchain.

Illustrated view of a Consortium Blockchain Involving Multiple Other Organizations, whose access rights differ. Each member controls their own access to Blockchain Network with Cryptographic Keys.

Members typically interact with the Blockchain Network by deploying Smart Contracts (i.e. Creating) as well as accessing the existing contracts.

Current Industry Research on Zero Knowledge Proof

Zero Knowledge Proof is a new but powerful concept in building trust-based networks. While basic Blockchain platform can help to bring the concept in a trust-based manner, a lot of research is being done to come up with a truly algorithmic zero knowledge proof.

A zk-SNARK (“zero-knowledge succinct non-interactive argument of knowledge”) utilizes a concept known as a “zero-knowledge proof”. Developers have already started integrating zk-SNARKs into Ethereum Blockchain platform. Zether, which was built by a group of academics and financial technology researchers including Dan Boneh from Stanford University, uses zero-knowledge proofs.

ZKP In GAVS Rhodium

As mentioned in my previous article about Patient Data Sharing, Rhodium is a futuristic framework that aims to take the Patient Data Sharing as a journey across multiple stages, and at the advanced maturity levels Zero Knowledge Proofs definitely find a place. Healthcare organizations can start experimenting and innovating on this front.

Rhodium Patient Data Sharing Journey

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Healthcare Industry today is affected by fraud and lack of trust on one side, and on the other side growing privacy concerns of the patient. In this context, the introduction of a Zero Knowledge Proofs as part of healthcare transactions will help the industry to optimize itself and move towards seamless operations.

About the Author –

Srini is the Technology Advisor for GAVS. He is currently focused on Data Management Solutions for new-age enterprises using the combination of Multi Modal databases, Blockchain, and Data Mining. The solutions aim at data sharing within enterprises as well as with external stakeholders.