Patient Jarvis Webpage Elevator Pitch Transforming Pharma Decision-making with Patient Jarvis

As the collection of claims data grows exponentially, patient analytics has emerged the focal point of commercial analytics in the pharmaceutical landscape.

Claims data offers granular insights into patient behavior, physician characteristics, and market trends for Pharma companies. However, its complexity and higher time to insight hinder quick decision-making.

Patient Jarvis, combining innovative technology and extensive understanding of pharma knowledge, not only speeds up insights but also provides advanced AI support, empowering swift decision-making.

Patient Jarvis extends time for advanced analytics and enhances decision-making with a versatile range of value propositions:

  • Whitebox solution

Transform your system with our seamless white-box solution, seamlessly integrated to become your proprietary masterpiece.

  • Standardized claims data
    • Experience 40% to 60% boost in bandwidth alongside unparalleled code reusability, all tailored to perfection.
    • Lesser L&D time across teams as single training will suffice for claims data.
  • Automated DE pipeline
  • Empower your process with our end-to-end automated pipeline, orchestrating data seamlessly from ingestion to consumption, maximizing speed and quality at every turn.
  • JarviSQL
  • JarviSQL empowers various teams in your pharmaceutical company by expediting ad-hoc analyses through efficient SQL coding, leveraging generative AI-driven capabilities.
  • Efficient KPI tracking
  • Customizable DQ report for all the claims data in clients’ environment.
  • Quicker Time to Insight with KPI dashboards covering E2E patient journey reducing redundant KPIs by 25% – 30%.
  • SQL workbench
    • SQL workbench will enable the strategy & insights team to do firsthand deep dives.

Patient Jarvis is precision-engineered to tackle the unique challenges faced by different roles within pharmaceutical companies. With a steadfast commitment to streamlining patient analytics for all, it empowers better decision-making across the industry.

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An effective way to enable clients to respond decisively, effectively and with confidence is handling workflow through triage. The crux of customer request triage is sorting jobs into multiple levels of effort required. Our approach to organize and manage workflow is achieved by:

Data annotation

  • Build an exhaustive list of intents that could include all customer queries and resolutions
  • Group similar queries, requests, and tasks into categories

Model development

  • Develop a mechanism to verify and validate the manual labeling and categorization of user intent
  • Create a baseline model to understand the predictive power within the chat logs

Evaluation

  • Analyze the model outputs to classify and prioritize intents to improve routing effectiveness as well handle the volume surge

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Amitabh Bose (Ambo)

Ambo has helped drive Fractal’s growth and stature to become the No.1 global provider of analytics solutions to the CPG and Retail Industry. Additional charge of incubating the Hospitality practice.

Seasoned analytics professional and business leader; 20+ years split equally in the CPG industry with P&G and PepsiCo and in the analytics industry. Incubated analytics start-ups as well as led global analytics practices for publicly listed technology and operations companies building business globally – the Americas, Europe, Pacific Asia and Japan.

He has an MBA in Marketing, Faculty of Management Studies, University of Delhi. Bachelor of Engineering, Electronics & Computer Architecture, NIT, Allahabad.

Anurag Vaish

Anurag leads the intersection of AI, engineering, behavioral sciences and design at Fractal. He co-founded FinalMile Consulting, the world’s first Behavioral Sciences based design and strategy firm. He comes with an extensive experience in driving behavior change in complex contexts like digital learning, safety, HIV, financial decisions and health choices across US, Africa, Europe and India. He has developed the proprietary Design process – Behavior Architecture – that takes into account the predominantly nonconscious nature of human decision making.

Anurag has a keen interest in the intersection of AI, Engineering, Behavioral Sciences and Design to solve the most complex decision problems at scale. He has previously worked at DeBeers, Wipro, Bharti Telecom and IMRB. He has done his Masters in Business Economics from Delhi University and completed his study on Continuous Learning: Model Thinking, Gamification and Cognitive Sciences.

Anurag Vaish

Role
Leading the intersection of AI, Engineering, Behavioral Sciences and Design

Experience

  • Co-founded Finalmile Consulting, the world’s first Behavioral Sciences based design and strategy firm
  • Extensive experience in driving behavior change in complex contexts like Digital Learning, Safety, HIV, Financial Decisions and Health Choices across US, Africa, Europe and India.
  • Developed the proprietary Design process – Behavior Architecture – that takes into account the predominantly nonconscious nature of human decision making.
  • Previously worked at DeBeers, Wipro, Bharti Telecom and IMRB

Education

  • Masters in Business Economics; Delhi University
  • Continuous Learning: Model Thinking, Gamification and Cognitive Sciences

Analytics Interests
Intersection of AI, Engineering, Behavioral Sciences and Design to solve the most complex decision problems at scale.

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Face recognition can detect and identify faces in real time for use in security surveillance, attendance management, criminal identification, and more. It can track people and log their attendance, identify suspicious people, and reveal insights such as demographic information and facial expressions.

AI algorithms can automatically identify actions performed in a video to create better customer experiences. For example, using video to see how a customer interacts with a product can help manufacturers design better quality products.

Detecting and recognizing objects in images and videos can reveal insights that drive value. Face-recognition systems on real-time video feeds can assist with security surveillance or managing attendance. AI can also identify brands and logos to detect specific products in shopping aisles.

Can you detect and identify suspicious person in an image or video? Can you track people and log their attendance using their face data? Our deep learning based face recognition algorithm can detect and identify faces in real time which can be applied to many real life application including security surveillance, attendance management, criminal identification etc. The solution can be extended to extract sentiments (happy, sad, angry etc.) and demographic information (age, gender etc.) attendance management, criminal identification etc. The solution can be extended to extract sentiments (happy, sad, angry etc.) and demographic information (age, gender etc.)

Create the optimal vision and plan for identifying and driving new growth at your enterprise

Hosting on September 28-29 in Chicago at the Swissotel Chicago. This private, invitation-only event comprised senior executive analytics thought leaders among Fractal’s strategic clients, representing some of the world’s most valued brands representing, in aggregate, over $600 billion of annual revenue.Hosting on September 28-29 in Chicago at the Swissotel Chicago.

Fractal hosted our 4th annual Client Advisory Board event on September 28-29 in Chicago at the Swissotel Chicago. This private, invitation-only event comprised senior executive analytics thought leaders among Fractal’s strategic clients, representing some of the world’s most valued brands representing, in aggregate, over $600 billion of annual revenue.

The event content was comprised of a keynotes, a panel and workshops with the following themes:

  • Shared key trends in analytics and artificial intelligence (AI) and how these approaches are transforming our world
  • Revealed new applications of Deep Learning (form of AI) among Member industries to shift from gut decisions to algorithms that
    drive faster, more accurate, and more effective decisions
  • Share their views on the key drivers of analytics success within Member enterprises including how to organize and which people
    are needed, the importance of data acquisition, influencing the C-Suite to drive the analytics mandate, and influencing business
    users to adopt analytics, by considering:
  • Members shared case studies on successful analytics implementations and lessons learned
  • Discussed the key considerations in building an analytics roadmap and adoption plan

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Our analysts used advanced tools and text-mining techniques such as pattern matching, phonetic matching and approximate string matching to develop an algorithm for de-duplicating records and identifying unique customers and households.

Jerry Roche

Jerry leads Customer Genomics and Trial Run product offerings at Fractal Analytics.

Prior to this, he was the Chief Strategy Officer of Olenick & Associates, the largest US-Headquartered software quality firm, focused on building the entire go-to-market strategy. Prior to Olenick, he served as the CEO of EIC Solutions, a niche electronics company that was transformed into an Internet marketing expert. Jerry executed a management buyout of NSTL, Inc. and built that company into the world leader of testing and certification of mobile software applications, prior to selling to a strategic buyer. Prior to NSTL, he served as Manager, Corporate Development, Advanta, Corp. and as a Senior Consultant in the Financial Advisory Services group of Coopers & Lybrand.

He has an MBA, Villanova University, Villanova, PA; BS, Finance, Drexel University, Philadelphia, PA.

Natwar Mall

Natwar is the business head of Cuddle.ai – AI based personal analyst for business professionals.

Natwar led Fractal as part of its leadership team through multiple growth stages over the past decade. He led the data-science and technology agenda for Fractal & its clients, built & grew CPG practice amongst others, conceptualized & delivered analytics technologies like Concordia & Trial Run. He was instrumental in building a top-notch data-science team providing the right foundation for the growth. Natwar is now building Cuddle.ai – a wholly owned subsidiary of Fractal Analytics – to bring the power of AI to the world of BI by building the world’s most intelligent BI platform.

He has an MBA, Indian Institute of Management (IIM), Calcutta and B.Tech in Mechanical Engineering, Indian Institute of Technology (IIT), Bombay.

Sasha Mirchandani

Sasha Mirchandani is Founder & Managing Partner at Kae Capital and Co-founder of Mumbai Angels. Previously, he was at BlueRun Ventures as Managing Director for India. Before joining BlueRun Ventures he was CEO and Founder of Imercius Technologies. Prior to that he was at Mirc Electronics (Onida) where he was Head of Corporate Affairs and new business. Sasha sits on the Boards of Hathway Cable and Datacom Limited, Nazara Technologies Limited, Healthkart, YPO Gold Mumbai Chapter among others. He is a Charter Member at TiE Mumbai and was inducted into their 2019 Hall of Fame as an Outstanding Angel Investor. He is also a past President of Entrepreneurs Organisation (EO) Mumbai.

His investments include Zetwerk, Porter, Fractal Analytics, InMobi, Myntra, Tata 1Mg, Healthkart etc. Previously he served on the Boards of Zee Entertainment, Myntra, Tata 1Mg, Ador Welding Limited among others.

He completed his Business Administration from Strayer University and did his MMDP at IIM Ahmedabad.

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