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Emerging Trends and Insights by Fundoo Info

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  • Strategies to streamline ITSM : IT Security Management Perspective
    Strategies to streamline ITSM : IT Security Management Perspective
    Senthil Palaniappan, CEO and Vasu Palaniandi, Project Management, PMP, CSM, ITIL at Sennovate Recorded: Jul 16 2019 43 mins
    This topic will discuss the different strategies to streamline ITSM, to enhance and manage IT Security

    You will learn:
    ⦁ How to Focus on the processes and leverage with technology
    ⦁ ITIL Best practices - Align the energy of IT and with the business objectives
    ⦁ How to streamline the ITSM processes from the IT security perspective and ensure IT services is efficiently managed, and fully secured
    ⦁ How streamlining the processes and use of right technology helps to manage IT access governance and compliance
  • Health, Not Just Healthcare: A Data-driven Approach
    Health, Not Just Healthcare: A Data-driven Approach
    Kallol Mahata, Co-Founder & COO, PCIC Recorded: Jul 11 2019 48 mins
    Our current health system in the United States operates in a silo model that is plagued by broken feedback loops that lead to misaligned incentives between payers, providers, managed care organizations, and social service agencies. A dearth of communication and interoperability between systems contributes to uncontrolled costs and missed opportunities to improve operational efficiency. Furthermore, the most vulnerably patients - individuals who experience adverse social determinants of health in addition to medical and/or behavioral challenges – are often excluded or made worse by the system’s inability to coordinate care across social and medical domains. With a universe of data at our fingertips, we can and must find creative solutions to these problems.

    By bringing together social and medical data, we can see a more global view of the healthcare system – more specifically, where it’s working and failing. By linking social and medical utilization data from the whole ecosystem of care, we quickly see overlaps in care, avoidable redundancies in services used, and unmet needs on a population level. We integrate these insights into a comprehensive health management system that supports shared care plans between social and medical agencies, providing a holistic view of patient needs through real-time dashboards.

    While we have a long way to go to fix our healthcare system, we have the data to help move us towards a more equitable solution, where healthcare can be affordable and accessible to all in our communities.
  • Health, Not Just Healthcare: A Data-driven Approach
    Health, Not Just Healthcare: A Data-driven Approach
    Kallol Mahata, Co-Founder & COO, PCIC Recorded: Jun 12 2019 49 mins
    Our current health system in the United States operates in a silo model that is plagued by broken feedback loops that lead to misaligned incentives between payers, providers, managed care organizations, and social service agencies. A dearth of communication and interoperability between systems contributes to uncontrolled costs and missed opportunities to improve operational efficiency. Furthermore, the most vulnerably patients - individuals who experience adverse social determinants of health in addition to medical and/or behavioral challenges – are often excluded or made worse by the system’s inability to coordinate care across social and medical domains. With a universe of data at our fingertips, we can and must find creative solutions to these problems.

    By bringing together social and medical data, we can see a more global view of the healthcare system – more specifically, where it’s working and failing. By linking social and medical utilization data from the whole ecosystem of care, we quickly see overlaps in care, avoidable redundancies in services used, and unmet needs on a population level. We integrate these insights into a comprehensive health management system that supports shared care plans between social and medical agencies, providing a holistic view of patient needs through real-time dashboards.

    While we have a long way to go to fix our healthcare system, we have the data to help move us towards a more equitable solution, where healthcare can be affordable and accessible to all in our communities.
  • Architecting Streaming Analytics Apps for Rapid Business Value
    Architecting Streaming Analytics Apps for Rapid Business Value
    Sid Choudhury, VP Product, YugaByte Recorded: Apr 16 2019 49 mins
    Real-time streaming applications are driving revenue growth in verticals such as retail, IoT, telecommunications, financial services and SaaS. However, architecting the data infrastructure that powers such applications for rapid business value remains a complex challenge.

    In this talk, we will review the key components of a streaming data pipeline and highlight the desired characteristics from each component in the context of reliability, scalability and performance.

    A real-world IoT Fleet Management application built on Confluent Kafka as the data ingestion layer, KSQL or Apache Spark as the stream processing layer, YugaByte DB as the operational data store and Spring Boot as the Analytics Dashboard framework will be used to demonstrate how the desired business goals can be achieved with ease.
  • Information Security in FinTech and Financial Services Sector
    Information Security in FinTech and Financial Services Sector
    Senthil Palaniappan, Founder and CEO at Sennovate Inc Recorded: Mar 14 2019 45 mins
    This topic will discuss in the current trend in the FinTech and Financial Services Sector and what are the security challenges and Risk factors and how to prepare yourself to mitigate them.

    You will learn
    * What are all the major Financial Sectors and Factors leading to their
    innovation
    * Technology and Services overview in Various Financial Sectors
    * Security and Risks
    * Data Security
    * Cyber Security
    * Regulatory and compliance risk
    * Fraud and identity theft
    * Third party reliance
  • Building a Strong Foundation: An Architect’s Perspective on Inclusion
    Building a Strong Foundation: An Architect’s Perspective on Inclusion
    Parul Vyas, AIA, NCARB, LEED AP Recorded: Mar 7 2019 38 mins
    In recent years, diversity has come a long way nationally and internationally. Current data suggests that we still face challenges to engage diversity with inclusion. Per recent reports, the architecture/construction sector still lags and in need to empower women, practice equity and promote diversity.

    This presentation will review national efforts for D&I - where we were and where we are now.
    We will try to understand the concept/forms of exclusion and how our efforts both at a personal level and professional level can eliminate it. Eventually, it is not about being a woman or a minority, it is about becoming aware of exclusive behavior and cultivating inclusive thoughts and actions.

    Takeaways:
    1. Attendees will be able to understand the importance of inclusion & its relation to diversity. It is
    very easy to exclude.
    2. Participants will learn about women in the field of architecture and construction, challenges we
    face and what the industry is doing to empower us.
    3. We will discuss how to enhance relationships by valuing and respecting ethnic, cultural
    differences and accommodating different stages of lives we all are in.
  • AI and ML: It's Been Mainstream for a Long Time
    AI and ML: It's Been Mainstream for a Long Time
    Gustavo Sanchez, Co-Founder Pandata Tech Recorded: Feb 13 2019 44 mins
    Deep dive into the ways machine learning and AI are becoming mainstream and enhancing analytics solutions and insights.

    The talk would aim to de-mystify AI and show that it has been mainstream for longer than we think at different levels of sophistication. Defining AI is the first step in understanding it. Understanding the tools and uses helps make it less intimidating. And knowing it is democratized allows anyone to work in AI. We would walk through real world examples of AI used for leisure, everyday work tasks, and move on to more sophisticated industry uses. All examples keeping in mind best practices to control the AI, which can be a fickle thing when left unchecked.
  • Architecting Streaming Analytics Apps for Rapid Business Value
    Architecting Streaming Analytics Apps for Rapid Business Value
    Sid Choudhury, VP Product, YugaByte Recorded: Dec 12 2018 50 mins
    Real-time streaming applications are driving revenue growth in verticals such as retail, IoT, telecommunications, financial services and SaaS. However, architecting the data infrastructure that powers such applications for rapid business value remains a complex challenge.

    In this talk, we will review the key components of a streaming data pipeline and highlight the desired characteristics from each component in the context of reliability, scalability and performance.

    A real-world IoT Fleet Management application built on Confluent Kafka as the data ingestion layer, KSQL or Apache Spark as the stream processing layer, YugaByte DB as the operational data store and Spring Boot as the Analytics Dashboard framework will be used to demonstrate how the desired business goals can be achieved with ease.
  • You Talkin' to Me? AI/NLP Conversational Chatbots for Next-Gen Customer Service
    You Talkin' to Me? AI/NLP Conversational Chatbots for Next-Gen Customer Service
    Girish MuckAI is VP of Business Development & Strategy at Passage AI Recorded: Oct 25 2018 49 mins
    Today's consumers are demanding a customer service experience paradigm to keep up with their growing needs. From real-time instant responses to accessibility from a plethora of text and voice platforms, to understanding natural language.

    Recent advances in natural language understanding and processing (NLU/NLP) and machine learning have enabled automated chatbots to provide a unique experience for businesses and consumers to connect and converse. In this webinar, we will discuss how businesses can leverage the latest in artificial intelligence and deep learning to create conversational chatbot platforms to wow their customers.

    About the speaker:
    Girish MuckAI is VP of Business Development & Strategy at Passage AI. He has 20+ years experience bringing state-of-the-art technology solutions to market and held leadership roles at Juniper Networks, Reliance Jio, Entropic Communications, Westell, Arris, SBC Labs and Cascade. Girish holds a B.Tech from IIT Madras, MS and PhD from Boston University and MBA from the Wharton School. Girish is also the CEO of IIT Madras Foundation.
  • Challenges Transitioning Machine Learning from Prototyping to Production Grade
    Challenges Transitioning Machine Learning from Prototyping to Production Grade
    Santi Adavani, Co-Founder of RocketML Recorded: Oct 23 2018 64 mins
    The artificial intelligence revolution is being enabled by the rapid increase in data, computing power in the cloud, and hardware accelerators like GPUs and algorithm innovations. However, only < 5% of organizations have adopted or deployed AI in their operations and > 80% are gathering knowledge and prototyping.

    In this webinar, we identify the challenges of transitioning from Prototype to Production. We break them down into four categories of challenges:

    1) Code portability,
    2) Scalability,
    3) Hyperparameter optimization or Automated machine learning, and
    4) Model Deployment.

    In this talk, we will address challenges 1 & 2 using RocketML to aid in building production-grade AI applications. These techniques will not only improve data scientists' productivity, but will also reduce total cost of ownership (TCO) compared to market incumbents.

    The webinar is hosted by Fundoo.info and moderated by IITAGH Board Member.

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