3 episodes

Welcome to the Liberty. Equality.Data. podcast series which aims to foster the discussions about the value that individuals can get from their data. We invite industry leaders and pioneers to talk about the most recent developments in different industries, the opportunities with the user-held data and an open data market.

Liberty. Equality. Data‪.‬ Prifina Inc

    • Technology
    • 4.8 • 5 Ratings

Welcome to the Liberty. Equality.Data. podcast series which aims to foster the discussions about the value that individuals can get from their data. We invite industry leaders and pioneers to talk about the most recent developments in different industries, the opportunities with the user-held data and an open data market.

    Programming Computers or Programming People?

    Programming Computers or Programming People?

    In this episode, we talk to Dr. James Guszca, the Chief Data Scientist at Deloitte USA and a visiting fellow at Stanford’s Center for Advanced Studies in Behavioral Sciences. Jim is a renowned expert in behavioral economics and data science with more than twenty years of experience in data, machine learning, and ethical aspects of AI. During his career, he built some of the first algorithms for the largest insurance companies, held several professorship positions, and published prolific studies on the intersection of human behavior, data, and AI.

    In this podcast, we focus on the confluence of behavioral insights, machine learning, data science, and AI. We talk about nudges, the value of personal data to individuals, the possibility of aligning corporate interests with the interests of individuals, building new applications that would rely on customer data, and nudge people to make better decisions.

    Jim explains how Nobel prize-winning behavioral scientists developed the theories of smart disclosures and data ownership to help consumers get better insights and improve their behavior. We talk about the significance of choice architecture and defaults in helping individuals make better decisions about their lives. This podcast is full of practical examples from insurance and health care domains as well as the societal value of data generated by various smart IoT devices and wearables.

    • 52 min
    Health Data, Wearables and Personal Value

    Health Data, Wearables and Personal Value

    In this episode, we talk to Steven Charlap, MD, trained surgeon and the CEO of Soap Health building conversational AI-powered patient and physician facing interface. Previously, Steven was the CEO of HealthDrive Corporation (the largest U.S. provider of medical and dental services to extended care facilities). In this podcast we focus on health data, e.g. new data generated by wearables and direct to consumer genome testing, to generate value on different levels (personal insights, utility for physicians, health-driven incentives and behavior adjustments). The discussion touches on limitations of new devices, incentive structures, the need for holistic understanding of data and the context where data finds itself, and deep focus on the subject whether they are a patient or a consumer.

    • 45 min
    Building Your Smart Home with Connected Sensors and Data

    Building Your Smart Home with Connected Sensors and Data

    We talk with Kathy Giori about the state of connected tech and data, and the possibilities and use cases. Kathy has worked on IOT, connected devices and software with a hardware component and talks about her experience with the Mozilla smart home platform and interoperable standards to build connected home setups that are really yours. As she says, she can experience all the value of the connected home "and I don't have to share the data behind my connected (smart home)". We also talk about where this data is, what applications and use cases exist and the balance between convenience and value. 

    • 43 min

Customer Reviews

4.8 out of 5
5 Ratings

5 Ratings

DataWizard ,

Interesting topic

Looks like an interesting series of discussions around data. As there is more and more data around us, its topical to understand how to be use it. Look forward to further examples and discussions!

Regular reader 68 ,

New approach to data

Interesting discussions about user-centric data models and how people can personally utilize their data.

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