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Food delivery has come of age in myriad unimaginable ways. From the initial ‘dial your restaurant’ practice to trying new cuisines suggested by the very humble food delivery app, it has created a whole new culture of food consumption. Data science and machine learning clearly have paved the way for seeing food from a new perspective of owning the food you crave– in taste and health – just in one swipe. Deliveroo is one such food and grocery delivery app, which understands gastronomic choices better than the customers do. Analytics Insight has engaged in an exclusive interview with Mahana Mansfield, VP Science, of Deliveroo.1. Could you tell us a little about your role at Deliveroo and your journey so far as a data scientist? Are there any learnings you would like to share?
I look after the data science and analytics engineering organizations at Deliveroo. Data and science are at the core of everything we do here, so a major part of my role is working with leaders across the company to define our strategy and optimize day-to-day operations. At the same time, I am building high-functioning data science and analytics engineering teams that are great places to do impactful, career-defining work.
Before working in data science, I always wanted to be an academic and so began my career by doing a Ph.D. in Maths. However, I quickly realized that academia was not the best fit for me and started looking for opportunities where I could apply my skills in a more practical, fast-paced environment. I accidentally fell into data science when I was approached by a recruiter to join Ocado’s algorithmic software engineering team (later renamed as data science team). I joined the team as a software engineer, working on consumer-facing algorithms such as personalization and recommendations, as well as supply chain optimization. I then worked at the Guardian for two years, as the Head of Data Science, before moving to Deliveroo in 2023.
Since then, I have held various data science roles at Deliveroo. Amongst other things, I have learned to appreciate the value of solving real business problems, rather than building things that are fun, complex, or cutting-edge, but lacking a practical application. I have also learned the value of communicating very clearly, using simple language.2. Could you highlight Deliveroo’s recent innovations in the AI/ML/Analytics space? What are some of the innovations that you are particularly proud of?
One innovation that I’m particularly proud of is our Customer Lifetime Value (CLV) model, which we now use as a common metric across our business. The model has helped us better understand the trade-offs between growth and profitability, as well as the impact of individual customer behaviors. This has unlocked significant value company-wide, in financial planning, marketing, and product experimentation.
Another innovation I’m proud of is our dispatch algorithm, which decides which rider to assign to which order in an efficient and highly scalable way. In an average zone, the dispatcher performs hundreds of thousands of calculations every few seconds, constantly reviewing our planned order allocations to make sure they are optimal. At peak this means we’re doing tens of millions of these calculations, every few seconds, enhancing our ability to make effective dispatch decisions from the available data.3. What excites you about the future of data science at Deliveroo?
Data science and machine learning are key to us developing a deep understanding of the nuances of delivering in each neighborhood we operate in, thereby allowing us to improve the quality of our service while gaining efficiency at the same time. I’m excited about playing a key part in that journey and the prospect of continuously improving the user experience for all three sides of our complex marketplace.4. How is Big Data as an industry evolving? What are the most important trends that you see emerging across the globe?
We are seeing a major shift in how companies structure and organize their data to gain relevant insights. Given enough compute power, our ability to use data to facilitate decision-making becomes increasingly dependent on our business framing of the problem, rather than simply on our ability to build the best models and algorithms. For example, if we want to show consumers the best set of restaurants for them in the Deliveroo app, what metric should we optimize for in our online experiments? How do we determine the optimal ratio of false negatives to false positives in detecting fraudulent transactions? How do we reason about long-term trends, when we only have limited data? As software engineering has evolved away from engineers needing to know the inner workings of computers, our ability to effectively combine and arrange our models in the right order has arguably become more important than understanding how to build the models themselves.
I also see us moving from a world where everyone wants “Big Data”, “Artificial Intelligence” and “Data Science” because they sound cool, to a world where companies focus more heavily on the Return on Investment (ROI) of these functions, especially in the current macroeconomic climate.
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Metaverse is growing in a steadfast manner and it is the perfect place for new businesses to develop. Trace Network Labs is a complete decentralized protocol for enabling lifestyle for any multichain metaverse. With its help, you can create your personalized avatar to work, play and socialize in various metaverses. Your buddy avatar is made with standards that allow cross-chain movement to allow you to enter and interact in different metaverses. Analytics Insight has engaged in an exclusive interview with Lokesh Rao, co-founder, and CEO of Trace Network Labs1. How have you seen the evolution of the industry? As you said that you have been here from the beginning, how has the growth been?
Ah, the journey has been nothing short of a rollercoaster ride. But, yes, I entered the blockchain industry in 2023 while building enterprise solutions using distributed ledger tech. Back then, the industry was pretty small with limited people. It was less of an industry and more of an exclusive club of people solving problems while using tech in the most democratic way they could.
From then on, I have been in the close vicinity of the industry before jumping full-fledged with Trace. I have observed the 2023/18 ‘crypto winter’ from close quarters and have seen thousands, if not more, of people, quit the crypto market for good.
The crypto bubble had popped but then, I believe it was a much-needed wake-up call for everyone in this anarchical industry. Governments started to take notice and regulations were laid down. Meanwhile, there has been a great shift in the industry, from being a speculators’ haven to being a builder’s play zone.
Now, blockchain solutions find themselves in most industries, redefining the status quo while crypto is2. As the Founder/CEO of the company, brief us about yourself and your contributions to the company and the industry.
Sure! Before taking a plunge into the blockchain/crypto industry, I worked in the enterprise technology space for nearly 12 years. I collaborated with luxury fashion brands from all across the globe and helped them implement supply chain solutions. Then, as I mentioned before, I got involved with the blockchain space in 2023. So, from then onwards, I’ve been actively building solutions for brands and enterprises using blockchain technology.
Then, when I came across the concept of the metaverse, I was really fascinated and closely observed the developments in this space. So, in 2023, me and my business partner Sunil Arora came up with the idea of the Trace Network Labs to create a protocol that eases the transition of individuals and businesses into the metaverse.3. Kindly brief us about the company, its specialization, and the services that your company offers.
Trace Network is a decentralized lifestyle protocol for the metaverse. Of course, we all know by now that the metaverse is an umbrella term for virtual worlds built on the internet to stimulate and enhance real-world experiences. Even mundane activities like work, education, social interactions, and business events will be held within these virtual worlds and people are likely to spend a significant portion of their time in the metaverse. However, to enter the metaverse, people require digital avatars, which are realistic representations of themselves and which can be used to login into any metaverse. And as such, the need for lifestyle protocols arises.
At Trace Network, we allow people to create these virtual avatars of themselves through our signature product Buddy. The avatar is an NFT minted on the Polygon network and is created with a simple selfie of the user. It embodies the users’ unique personality traits and can be moved across different chains or used within various virtual worlds.
But that’s not all. We also understand that your virtual self needs to be as presentable as your physical self. So, we also have a lifestyle NFT marketplace called BLING. The marketplace essentially helps you build a digital wardrobe and features the best outfits and accessories that can be worn on your Buddy avatar.
Moreover, we also have an SDK that allows brands to bridge the gap between web2 and web3 by creating unique products for the metaverse. Eventually, we will be enabling brands to enter into the metaverse by setting up experiential stores for them to sell digital wearable NFTs and in the future, one can claim the physical products as well.4. What is your biggest USP that diﬀerentiates the company from competitors?
I believe our unique selling point is the fact that we are a complete lifestyle protocol and among the first in the industry. This realm so far has had a few protocols that help build digital avatars and an almost negligible number of NFT marketplaces dedicated to fashion and lifestyle. Trace Network not only helps users build a realistic representation of themselves but also takes care of the vanity part of it by building a marketplace dedicated to digital fashion and lifestyle. I believe we provide a holistic solution for users to get ready for various events in metaverses. The uniqueness is in the NFTs which will be interoperable and compatible for different metaverse environments. Both BUDDY Avatar NFTs and their worn digital wearable NFTs will be agnostic to different metaverses on multiple chains. Eventually, like how google login is for web2.0 applications, BUDDY avatar NFTs will be a login for web 3.0 metaverses and for our enabled experiential stores of different brands.
Apart from this, we also give users complete ownership of their avatars and dissolve our own involvement with their data and content.5. Where do you see growth coming in for the sector?
The metaverse is the next step in the evolution of the internet and the younger generations of millennials and Gen z are already spending time in the metaverse. Experts believe that the metaverse will become the new source of entertainment, information, and interaction for the next generation. I recently came across a survey that stated that 75% of Gen z shoppers have purchased a digital item in a virtual world and over 60% of them think that popular brands should sell in the metaverse.
So, I believe this is where the growth for the industry will come from. The metaverse is a technological mammoth that can change the course of our world and when it becomes a reality, a significant portion of the population will become the metaverse residents. Whenever people sitting in different geographies would like to connect and collaborate with each other in a more immersive way without leaving their seats, they would jump into metaverses. For example, if you wish to watch a football game with your friends, you will simply be able to book seats in the metaverse and join with your avatars. As such, the industry is poised for exponential growth. J P Morgan Chase believes that the metaverse is capable of generating over $1 trillion yearly, disrupting major world industries.6. What are some of the challenges faced by your company today?
Okay! While the scope of growth for the metaverse is huge, it is still in its infancy. And despite the fact that the NFT- metaverse sector is reaching new heights every day, the bulk of people still disregard its potential and dismiss it as a passing fad. This is also true in the world of digital fashion. People don’t notice any immediate benefits of holding NFTs because the metaverse is still in its early phases. And without immediate benefits, they will find it hard to invest in the industry.
This, I believe, is the single biggest challenge for our company. We’re building digital avatars for the metaverse, in a time where virtual worlds and experiences are still limited. So, we need to find a way to circumvent people’s skepticism about the metaverse and NFTs and make people see the bigger picture.7. What does your technology and business roadmap look like for the rest of the year? Also, a few words on the future ahead for the industry as a whole.
We at Trace Network, aim to create an entire ecosystem of products that will help users build their digital identities and navigate the metaverse. Our initial focus is on BUDDY and its successful launch. But soon after that, our NFT marketplace BLING will come to life and we also have plans for enabling experiential zones for the fashion and lifestyle industry, where people will be able to shop with their BUDDY avatars along with their family and friends. I remember the times when we used to go with family and friends shopping and make buying decisions together. Later, eCommerce replaced that experience with a convenient shopping culture. We will enable the same old experience and brand-customer connections keeping the convenience of eCommerce in our upcoming Experiential store’s concept for brands.
For the industry, on the whole, the future seems to be bright. Yes! There will be problems with initial take-off and creating awareness among people about the metaverse. However, with tech giants pouring in billions of dollars and the brightest minds of our world working on metaverse startups, this tech mammoth will soon be a reality.
As the machine learning market catches up with the competition, the ML engineers would need tools that can evolve beyond catering to the basic needs of an ML team, to make it easier and faster to develop models and enable collaboration. Iterative develops open-source tools for developers to build and deploy models to specialized software that can speed up the training process. Analytics Insight has engaged in an exclusive interview with Dmitry Petrov, Co-founder, and CEO of Iterative.1. Kindly brief us about the company, its specialization, and the services that your company offers.
Iterative’s mission is to deliver the best developer experience for machine learning teams by creating an ecosystem of open, modular ML tools. Our tools are Git-native to bridge the gap between software engineering and machine learning so that these two sides of the ML to production pipeline can happen collaboratively, efficiently, and reproducibly.2. Please brief us about the products/services/solutions you provide to your customers and how do they get value out of it
We build open-source tools that help ML engineers and data scientists automate their workflow and be more productive. DVC – Data Version Control – helps manage data and ML models and meld these two together with ML experiment tracking experience. ML engineers use DVC together with the Git source code version control system. CML – Continuous ML – is the way to use GPUs from clouds. It helps with ML-specific scenarios like using cheap spot instances for ML training and to recover jobs if they are terminated.
We believe in and support the open-source movement by contributing and maintaining modular open-source CLI tools for the greater ML/AI Community at whatever facet of the space, stage of the journey, or maturity level in which they find themselves. Our SaaS product Iterative Studio, brings these open source tools together in a web UI that becomes the control center to drive collaboration, transparency, and efficiency among team members and leadership.3. With what mission and objectives, the company was set up? In short, tell us about your journey since the inception of the company?
Iterative’s mission is to deliver the best developer experience for machine learning teams by creating an ecosystem of open, modular ML tools. This mission was born out of the need for harmoniously joining the best practices of software engineering with machine learning projects that are driving a growing number of software applications today. DVC (Data Version Control), the first tool of the suite, extends the versioning power of Git to the large and often unstructured datasets used in ML projects. For the first time data, pipelines and experiments could be versioned reliably and reproducibly, supporting the data-centric movement and the growing need for data governance in ML projects.
CML (Continuous Machine Learning), the next tool in Iterative’s lineup, provides CI/CD capability to ML projects. This helps teams automate and orchestrate resources, whether in the cloud or on-prem. The addition of TPI (Terraform Provider – Iterative) extends this functionality further, enabling the management of spot instances in multiple clouds to conserve resources when running large models.
MLEM, our latest tool, simplifies ML model deployment and is the basis of a full model registry, something many companies are working on in their ML teams.
We know that the one size fits all monolith platform will not work for all ML/AI teams. ML teams need flexible tooling that enables them to manifest their visions for their ML projects without the heavy lift of building that tooling from scratch. We aim to create these tools for them to allow them to iterate fast, use compute and people resources efficiently, enable cross-team collaboration, and provide as frictionless as possible deployment tools so that they can focus on solving their domain problems. We are building the tools to accomplish this task.4. What is your biggest USP that diﬀerentiates the company from competitors?
Many competitors are building SaaS solutions that might satisfy the needs of data analysts and some data scientists, but ML engineers and researchers need an environment that is closer to a software development environment. ML engineers need command line, Git, CI/CD, IDE such as VScode, etc. This happens because ML engineers spend the majority of their time coding and we meet them where they are.
Some of our tools are GitOps-based, matching with software teams using Git as the source of truth for all applications. Information and versioning around ML models and experiments, data, artifacts, and hyperparameters, are all stored within an organization’s Git service. This GitOps approach aligns the ML model development lifecycle with that of an organization’s apps and services so they get faster time-to-market with transparent collaboration between software development and ML teams.5. What are the key trends driving the growth in AI/Machine Learning?
Healthcare is a huge driver of AI/ML these days. Healthcare companies, as well as hospitals, are working on computer vision-based solutions to better treat diseases. AI significantly increases the level of automation in manufacturing as well as logistics. Computer vision is becoming an essential part of inspection and quality control. The financial industry, fintech, and banking were always big consumers of AI and this trend won’t disappear.6. What are Iterative’s company and business roadmap like for 2023?
We’ll be continuing to develop new tools for ML engineers and data scientists, with a couple of new ones being released later this year. On the commercial side, we’ll also be continuing to add enterprise-grade features to meet the demands of AI- and ML-first organizations that use our tools. These will include additional security controls as well as features around data discovery/management and further development on our existing tool set. We’re the first to offer a data catalog around unstructured data for machine learning use cases and will continue to innovate around this as the AI and ML market matures in the next 5 years.7. What are some of the challenges faced by Data Scientists today with respect to machine learning and modeling?
As the machine learning and modeling space are in a nascent stage, there aren’t established best practices or MLOps tech stacks for data scientists and organizations in general to emulate. A lot of the tools on the market today aren’t built with data scientists in mind – they focus more on business users. With this approach, the developer experience isn’t the best, and models under development are hampered and have a slower time to market.8. What are your predictions regarding ML and MLOps over the next 12 months?
We predict a shift to a developer-first experience in ML. More integration of ML tools to development environments such as IDE, version control as well as GitOps-based ML model deployment systems. ML engineers will embrace more and more software development best practices. Data-centric AI is a big trend in ML model development. We expect that some of these solutions will be democratized and released as widely available open-source tools.
The overarching trend that is affecting all B2-B businesses is how buyers are changing. B2B buyers are increasingly looking more like B2C consumers. After all, these buyers are buying from B2C online retailers in their free time, and they’ve been doing this for years.Q.1 Kindly brief us about the company, its specialization, and the services that your company offers. Q.2 What is your company’s vision?
The founders of RAKSUL envisioned harnessing the power of the Internet and digital technologies to transform conventional industries. Our vision of “Better Systems, Better World” has remained unchanged since its inception, and RAKSUL strives to create new business practices to generate unprecedented value to benefit society at large. With a platform-based service model that focuses on the effectiveness of product development and management of talent in India, RAKSUL is harboring global ambition.Q.3 Tell us about your company’s contribution to the Cloud Computing space. How does it impact creating efficiency?
All RAKSUL’s solutions are cloud platforms. RAKSUL harnesses the power of cloud computing and the ubiquitousness of the Internet to transform conventional industry structures and create unprecedented efficiencies within traditional businesses. The true essence of our platforms is to radically transform business models by moving archaic, complex, and less efficient inefficient operations and transactions to the cloud, thus making the business services extremely efficient, secure, and cost-effective to both producers and consumers.Q.4 What is JOSYS? How did you create this product in record time?
JOSYS is an integrated cloud solution for corporate IT operations management of employee lifecycle. It was conceptualized as a global SaaS product in late 2023. A truly born-in-the-cloud entity, RAKSUL India has played a crucial role in developing JOSYS from the ground up and it was launched for general availability in Japan on September 1st, 2023, well under one year since the first line of code was written. Finding the right talent, rapidly building a seed team, and culturally integrating it globally all equally contributed to creating a full-fledged SaaS platform with great agility and adaptability. The team maniacally focused on achieving MVP and delivered working code incrementally, every single week. Having a set of trial customers who gave RAKSUL continuous feedback, helped immensely and instilled a strong sense of customer discovery in the team. The entire team thrived in the fast-paced loop of hypothesis-experimentation-validation-adaptation.Q.5 What is RAKSUL’s outlook on developing innovative products that impact its customer?
The customer is at the center of every mission of ours. One of the guiding principles in RAKSUL is being grounded in customer reality, for us to thoroughly understand and solve our customers’ problems. With such an orientation, RAKSUL offers its innovation to the world with its products and services that bring about a sea (of) change in the way traditional businesses operate. At the core of our innovation lies our intent to make our customers’ businesses operate smarter, more efficiently, and securely. With our innovation, not only do we aim to transform conventional industries, but also enhance the lives of millions of people working in those industries. At RAKSUL India, we yearn to take this innovation to higher levels and scales than what would have been conventionally plausible.Q.6 What is RAKSUL’s strategy in changing the traditional business model through technological disruptions? Q.7 Please share some achievements of RAKSUL under your leadership.
RAKSUL India, a truly born-in-the-cloud entity that came into being right in the middle of the pandemic, has played a pivotal role in creating and successfully launching JOSYS and we are immensely proud of the cross-cultural integration and collaboration we have achieved across our global team. True to RAKSUL’s vision, “Better Systems, Better World”, JOSYS is transforming the corporate IT function by rendering it a whole lot more effective, optimized, and secure for businesses. As of today, we have over 600 businesses exploring JOSYS, which is phenomenal. Most importantly, this is just the start of the journey in realizing its full potential as a global SaaS platform spanning the whole gamut of employee lifecycle management. It is truly rewarding that RAKSUL India has been entrusted with the complete ownership of JOSYS product innovation mission and to that end, we will grow our headcount multifold over the next twelve months in the areas of SaaS platform development, data analytics, and product management. Three key things led to the fast-paced development of the product:
A cloud team to create this new business model at a rapid pace
Putting together all leadership roles necessary for the development of the product – people, technical (what technical?), and operations leadership
We are not just dependent on full-time employees (FTEs) to diversify the value generation channels. We build products by very diverse and ingenious methodologies and leveraging the ecosystem. We diversified and chose partners, contractors, and FTEs to create an architecture to contribute rapidly to building a product.Q.8 What is your outlook and roadmap for 2023?
We have three strategic priorities for 2023. First and foremost, we will focus on delivering “customer success” to all the businesses exploring JOSYS as their Corporate IT Management solution. This is essentially the Product-Market-Fit we want to achieve. This will involve extreme agility, running a high-paced hypothesize-implement-validate loop, and effective pivoting based on fast feedback from our customers. Second, we want to rapidly position ourselves to enhance JOSYS in multiple dimensions with a broader tech team. We need to scale up fast. Third, we will lay the foundation to take JOSYS beyond the shores of Japan as a global SaaS platform.Q.9 Kindly mention some of the company’s significant challenges until now?
Our biggest challenges all have a single cause – the pandemic. Operating 100% remotely, never actually meeting anyone else on the team, and not being able to get in front of a whiteboard to hash things out as a team. Cultural integration would have been easier with the travel and socializing of the cross-functional team. Despite all this, the team has learned to circumvent the obstacles, adapt, and deliver globally.Q.10 What is your Leadership Mantra?
The Cloud computing module is part of document management system features and is useful for businesses of all sizes. Ease of access reduced costs, and a lesser need for storing data on the hardware makes cloud computing a hot trend. VectorViewer is an enterprise cloud document and e-form management start-up. Analytics Insight has engaged in an exclusive interview with Pradeep Padanthaya, Founder of1. Kindly brief us about the company, its specialization, and the services that your company offers
VectorViewer is an enterprise cloud document and e-form management start-up. We’re helping companies speed up their digitization initiatives and efforts with our end-to-end HTML5 solution that offers easy document viewing, annotation, redaction, conversion, and storage. Our unique, multi-tenant software can be customized for different environments and fulfill the needs of all of your departments. Our e-form generator offers full integration with DocuSign and allows you to define complex workflows involving multi-parties signing at different stages of a document’s lifecycle.2. With what mission and objectives, the company was set up? In short, tell us about your journey since the inception of the company?
VectorViewer’s mission was to offer Document Digitization as a Service for large enterprises so that the companies can focus on the core business and VectorViewer take control of all the electronic documents. We have been able to achieve this to a large extent and our clients today trust VectorViewer’s software fully as a one-stop shop for all its document management use cases.3. Mention some of the awards, achievements, recognitions, and clients’ feedback that you feel are notable and valuable for the company.
VectorViewer was recognized for its ability to completely separate out the document digitization process into a separate microservice and at the same time easily integrate with any enterprise-grade software/application. This was a big achievement for an independent software company that started a few years back with the sole mission of offering Document Digitization As A Service.4. Brief us about the proactive Founder/CEO of the company and his/her contributions towards the company and the industry.
VectorViewer’s founder and CEO Pradeep Padanthaya along with co-founder Sannutha Addai come with a total of more than 30 years of experience in building enterprise applications. A major problem that we saw in enterprise products is the tedious process of handling document digitization. While there are companies who use an inhouse built solution to manage this, few others opt for independent vendors to handle it. Both these solutions have their own drawback – building an inhouse solution means you need to have a large technical team to maintain it and going for an independent vendor solution means that the software needs to be tightly coupled with the existing application, which brings in a lot of maintenance issues in the long term. We at VectorViewer thought about addressing this problem by providing Document Digitization as a Service model and ever since our clients have not looked back.5. What is your biggest USP that diﬀerentiates the company from competitors?
The biggest USP of VectorViewer is that it provides an end-to-end solution for Document Digitization that includes document processing, document viewing, and document storage. Clients can choose to use our SaaS offering or go for an on-premise installation wherein the entire software suite is installed in a private cloud using a simple in-house built installation tool.6. How do you see the company and the industry in the future ahead?
The document digitization process is a lengthy one especially in the enterprise world and there are still a majority of companies relying on the paper method for keeping all records. VectorViewer sees this as a big opportunity in the 21st century and plans to disrupt this industry by providing a SaaS model for Document Digitization.7. What are your growth plans for the next 12 months?
The Cloud computing module is part of document management system features and is useful for businesses of all sizes. Ease of access reduced costs, and a lesser need for storing data on the hardware makes cloud computing a hot trend. VectorViewer is an enterprise cloud document and e-form management start-up. Analytics Insight has engaged in an exclusive interview with Pradeep Padanthaya, Founder of VectorViewer VectorViewer is an enterprise cloud document and e-form management start-up. We’re helping companies speed up their digitization initiatives and efforts with our end-to-end HTML5 solution that offers easy document viewing, annotation, redaction, conversion, and storage. Our unique, multi-tenant software can be customized for different environments and fulfill the needs of all of your departments. Our e-form generator offers full integration with DocuSign and allows you to define complex workflows involving multi-parties signing at different stages of a document’s lifecycle.VectorViewer’s mission was to offer Document Digitization as a Service for large enterprises so that the companies can focus on the core business and VectorViewer take control of all the electronic documents. We have been able to achieve this to a large extent and our clients today trust VectorViewer’s software fully as a one-stop shop for all its document management use cases.VectorViewer was recognized for its ability to completely separate out the document digitization process into a separate microservice and at the same time easily integrate with any enterprise-grade software/application. This was a big achievement for an independent software company that started a few years back with the sole mission of offering Document Digitization As A Service.VectorViewer’s founder and CEO Pradeep Padanthaya along with co-founder Sannutha Addai come with a total of more than 30 years of experience in building enterprise applications. A major problem that we saw in enterprise products is the tedious process of handling document digitization. While there are companies who use an inhouse built solution to manage this, few others opt for independent vendors to handle it. Both these solutions have their own drawback – building an inhouse solution means you need to have a large technical team to maintain it and going for an independent vendor solution means that the software needs to be tightly coupled with the existing application, which brings in a lot of maintenance issues in the long term. We at VectorViewer thought about addressing this problem by providing Document Digitization as a Service model and ever since our clients have not looked chúng tôi biggest USP of VectorViewer is that it provides an end-to-end solution for Document Digitization that includes document processing, document viewing, and document storage. Clients can choose to use our SaaS offering or go for an on-premise installation wherein the entire software suite is installed in a private cloud using a simple in-house built installation chúng tôi document digitization process is a lengthy one especially in the enterprise world and there are still a majority of companies relying on the paper method for keeping all records. VectorViewer sees this as a big opportunity in the 21century and plans to disrupt this industry by providing a SaaS model for Document Digitization.VectorViewer plans to expand its client base by investing a major chunk of its revenue in marketing in 2023. VectorViewer is also in talks with some big consulting companies and plans to get a few onboard as implementation partners.
1. Kindly brief us about the company, its specialization, and the services that your company offers.
We are an AI-driven B2B SaaS company focused on analytics-based solutions for the healthcare sector. We have developed innovative solutions at the intersection of business, maths, and technology to drive profitable growth for health plans. We empower end users to focus on business decisions without getting overwhelmed with the underlying complexity of data and analytics. We recognize that businesses need to act and react quickly to evolving market conditions. All else being equal, the fastest company in the business will win.
Undoubtedly, the healthcare industry generates a lot of data but turning that data into insights that improve patient outcomes and operational efficiency is a difficult task. We’re proud to empower organizations across the US. From multi-state insurers to regional plans, HealthWorksAI’s platform and services are configured to meet the unique challenges of each client.
We pride ourselves on delivering insights at the speed of business. By leveraging the SaaS model, we have onboarded customers on our platform in as little as 48 hours from start to Go-live2. Please brief us about the products/services/solutions you provide to your customers and how they get value out of it.
Medicare Advantage (MA) in the United States is a one-of-a-kind healthcare program funded by the federal government and managed by private insurance companies known as Payors or Health Plans.
Our customers who are mainly healthcare payors benefit from rapid access to very efficient and insightful Medicare Advantage market data, accurate predictions, and a reliable single source of truth for strategic decision-making.
We have majorly five products namely, ExplainableAI, ProductIntel, MarketIntel, NetworkIntel, and MarketingIntel which have gained good traction in the Healthcare market.
One of our recently launched solutions, Explainable Artificial Intelligence (xAI), is designed for senior health plan leaders to support strategic decision-making. xAI provides analytics & insights on the influence of various factors including the product design, provider network, brand, marketing, and other influencers toward business growth in each market.
Another majorly adopted solution of the HealthWorksAI portfolio is ProductIntel, an AI-powered Medicare product development platform. It helps product managers manage the entire product lifecycle from design to launch and successful execution of insurance products.3. What’s your growth plan for the next 12 months?
We at HealthWorksAI, are continuously evolving our products to deliver more value to our clients. We have a clearly laid out roadmap for each of our product lines with release plans extending out to the next three years. To meet this demand, we are rapidly expanding our talent pool. While there are thousands of engineering and science students graduating each year in India, we are very selective in our hiring by picking up sharp and smart from top tiers like IITs, BITs, and NITs. We plan to double our employee base in India in the next 18 months to strengthen our product portfolio.4. What are the key trends driving the growth in Big Data analytics/AI/Machine Learning?
At the fundamental level, there are three things: first, the amount of data is doubling every two years with all the digital revolution. Second, the rising computing power and cloud adoption has made access easier for crunching massive amounts of data. Thirdly, the open-source community has powered a new generation of innovative building blocks that allows innovators to assemble vs build everything from scratch. Today the number of no-code solutions has skyrocketed
And finally, the media has provided sufficient coverage over the last decade to channel energies into creating an ecosystem of institutions, practitioners, and research that has attracted top talent to the ecosystem. This trend will continue for the foreseeable future as the amount of value that can be unlocked from the data is huge.
The job market for data scientists has exploded, with data science, AI/ML being one of the most in-demand jobs sectors. Data analysis is now an important qualification for businesses. Every business decision is based on or supported by data, and organizations today hire professionals not only for their data-crunching skills, statistical concepts, or modeling guidelines in an offline or online setting, but also for more intensive involvement in statistical analysis, machine learning fundamentals, or other algorithms as part of the product eco-system.
Aspiring individuals must have trending skillsets, a thorough grasp of the language, and be up-to-date on the new emerging trends that are shaping the sector at the moment. The business context is extremely critical in this entire exercise. You should be able to answer “So what?” every time.6. Can you throw light on the latest employment trends in the big data and analytics industry?
With rapid technological adoption across industries and entirely tech-enabled sectors such as IT, BFSI and healthcare, etc., the role of AI and machine learning will only grow in 2023 and the years to come, with a significant increase in demand for related roles.
According to some reports, AI/Machine Learning investments in India will grow at a CAGR of 33.49 percent until 2023. While the tools are improving, data scientists who want to excel in the market will still need a solid understanding of the fundamentals, such as data modeling, relational databases, and basic statistical analysis.7. How do you plan to make an impact in the Indian/US market and what are your plans to tap the market?
We provide solutions for the Medicare Advantage (Medicare health plan offered by private companies) market in the US. Most of our work is upstream related to the benefit designs and portfolio designs that address the prevailing population health conditions in the market. We focus on benefit designs that impact a beneficiary’s ability to take care of their health needs down the road. Our solutions are designed to look at the prevailing diseases, social determinants of health, and the cost of offering these benefits. The goal is to help beneficiaries manage their health conditions proactively. These solutions ultimately drive down the total cost of care and an opportunity to pump more dollars into the proactive care management
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