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India's largest platform for AI & Analytics leaders, professionals & aspirants

3AI Knowledge Insights

August - 2022

  • 2022
    • Aug 2022
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    • May 2022
    • Apr 2022
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  • 2021
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  • 2020
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    • May 2020
    • Apr 2020
    • Mar 2020
  • AI-Driven Hyperautomation – The Joint Technology Forces


    Raghav Nyapati
    Director – Digital Transformation Leader,
    Rocket Software

    Raghav set the stage for the session by defining the New Normal where in the organizations went through the high priority initiatives of becoming digital first by embracing AI and RPA to delegate repetitive tasks to the bots. Besides explaining different eras of automation: Industrial Era where machines were supporting humans, Internet Era where machines empowered humans and the recent Digital Era where machines are augmenting humans, he presented the evolution of automation from macros/scripting/rules engine to RPA and to the recent AI & Cognitive Automation.

    Raghav touched upon how multiple new & emerging technologies like process mining, analytics, UX/CX, ingestion engine and ML are complementing RPA resulting in the arrival of Hyperautomation….and how this pushed for the consolidation of corresponding tools to enable Hyperautomation.

    Raghav touched upon how multiple new & emerging technologies like process mining, analytics, UX/CX, ingestion engine and ML are complementing RPA resulting in the arrival of Hyperautomation….and how this pushed for the consolidation of corresponding tools to enable Hyperautomation.

    In the final segment of the session, Raghav shared the roadmap, building blocks, ecosystem and representative architecture of Hyperautomation. He concluded the session by sharing industry case studies and discussing the future skill requirements for Hyperautomation.

    Thank you, Raghav for this insightful session.

  • AI in Healthcare – Redefining the Future


    Dr Anjali Kulkarni
    VP – Clinical Informatics,
    Karkinos Healthcare

    Digital Health has been transforming the healthcare industry in a big way. With increasing adoption of connected healthcare and telehealth, there is a data powered revolution in clinical care. Healthcare data analytics market is expected to have a CAGR of around 20% in coming years. With many stakeholders in the healthcare ecosystem like care providers, insurance companies, life sciences and patients themselves, there are many opportunities for data driven applications, the end goal being improved patient care, increasing efficiencies and value-based services.

    The recent pandemic reinforced the significance of quality healthcare data and its utility to generate actionable insights like drug development, risk mitigation measures, predictive analytics at population and even individual level. Still, the adoption of AI in healthcare industry is low compared to other industries due to many challenges like fragmented data across multiple systems, heterogenous data, sensitive health information and regulatory hurdles.

    Login to this session as Anjali explores the various facets of data and AI in healthcare and its potential to redefine the relationship between quality, cost and accessibility in healthcare.