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Artwork for Tech Disruptors

Tech Disruptors

Bloomberg
Generative AI
Cybersecurity
Data Intelligence
Data Management
Cato Networks
Artificial Intelligence
Elastic Search
Data Analytics
Observability
Fivetran
SASE
Automation
Data Integration
Palo Alto Networks
Machine Learning
E-Commerce
Analytics
Cloud Data Warehouse
Storage Solutions
Check Point

Tech Disruptors by Bloomberg Intelligence features conversations with thought leaders and management teams on disruptive trends. Topics covered in this series include cloud, e-commerce, cybersecurity, AI, 5G, streaming, advertising, EVs, automation, crypto, fintech, AR/VR, metaverse and Web 3.0. This podcast is intended for professional investors only. It is being prepared solely for informational... more

PublishesTwice weeklyEpisodes325Founded4 years ago
Number of ListenersCategories
BusinessInvestingTechnology

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Artwork for Tech Disruptors

Latest Episodes

AI’s expansion into enterprise use is exposing a gap between rapid prototyping and reliable deployment across the organization. Domino Data Lab CEO Nick Elprin joins Bloomberg Intelligence senior software analyst Sunil Rajgopal to discuss how model-d... more

“We charged for outcomes with Fin…we’re charging when we did the work properly, and we weren’t charging when we didn’t,” Des Traynor, Intercom’s co-founder and chief strategy officer, tells Anurag Rana, senior technology analyst at Bloomberg Intellig... more

Ericsson’s recent headway in securing contracts for 5G enterprise applications signals a rise in commercial deployments as business customers gain confidence in the technology’s potential to improve returns. In this episode of Bloomberg Intelligence’... more

Mastercard’s push into stablecoin infrastructure, including its proposed acquisition of BVNK, alongside advances in enabling agentic payments, reflects an evolution rather than a disruption of its core business. In this episode of Bloomberg Intellige... more

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Recent Guests

Chris Caldwell
President and CEO of Concentrix
Concentrix
Episode: Concentrix CEO on Scaling AI in Customer Service
Madhav Thattai
Executive Vice President of Salesforce AI
Salesforce
Episode: Salesforce on Measuring Agentic Work Outcomes
Mike Capone
CEO at Qlik
Qlik
Episode: Qlik CEO on Building AI-Ready Data Foundations
Owen Jennings
Executive at Block; former CEO of Cash App
Block Inc.
Episode: Block’s Jennings on Building AI-Native Fintech
Prem Natarajan
Capital One's Executive Vice President, Chief Scientist, and Head of Enterprise AI
Capital One
Episode: Capital One on Building AI Moats in Banking
Michael Hurlston
CEO of Lumentum, optics leader
Lumentum
Episode: Lumentum on Optics Shifts in AI Data Centers
Kathy Ta
Vice President of Investor Relations
Lumentum
Episode: Lumentum on Optics Shifts in AI Data Centers
Jen Wong
Chief Operating Officer of Reddit
Reddit
Episode: Reddit COO on Gen AI Models, Ads Platform
James Reinhart
Co-founder and CEO of ThredUp
ThredUp
Episode: ThredUp’s CEO on AI and the Future of Resale

Hosts

Anurag Rana
Technology analyst at Bloomberg Intelligence
Woo Jin Ho
Analyst at Bloomberg Intelligence

Reviews

4.6 out of 5 stars from 62 ratings
  • Poor quality

    Unfortunately very low audio quality.

    Apple Podcasts
    1
    lomonoty
    Polanda year ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

However, some listeners have noted issues with audio quality in certain episodes.
The guests are knowledgeable and provide valuable perspectives on disruptive trends.
The content is insightful and covers a wide range of relevant topics in technology and investment.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#115
France/Business/Investing
Apple Podcasts
#200
Italy/Business/Investing
Apple Podcasts
#101
Sweden/Business/Investing
Apple Podcasts
#105
Japan/Business/Investing
Apple Podcasts
#120
South Africa/Business/Investing
Apple Podcasts
#130
Denmark/Business/Investing

Talking Points

Recent interactions between the hosts and their guests.

Salesforce on Measuring Agentic Work Outcomes
Q: Can you explain AWU and how Salesforce monetizes it?
AWU measures output from agentic work; monetization happens via add-on licenses for task automation and actions, plus consumption with flex credits; the goal is to track product adoption and commercial consumption separately yet together.
Salesforce on Measuring Agentic Work Outcomes
Q: What is your broader thesis on the current SaaS market and the role of AI in it?
The guest says this isn't a SaaS apocalypse; the focus is on driving the best outcomes for customers across waves of technology, with LLMs supercharging the stack and enabling richer, faster delivery.
Capital One on Building AI Moats in Banking
Q: What are the leading indicators of a successful AI transformation beyond immediate cost savings?
Key indicators include user adoption rates, positive customer experience signals, improved speed to market, fraud reduction, and a sustained, measurable increase in customer happiness; ultimate ROI is measured by a happy customer and enterprise-wide alignment with business KPIs.
Capital One on Building AI Moats in Banking
Q: How does a cloud-native architecture give Capital One an edge for agentic workflows and cost at scale?
Cloud enables data and compute proximity, a modern data ecosystem, and a scalable API-centric platform; this setup supports rapid experimentation, standardized governance, and efficient, low-latency customized models, which are essential for agentic AI at scale.
Capital One on Building AI Moats in Banking
Q: So for an investor who's trying to value AI readiness, why is a custom stack more defensible than a third-party API, and why own the weights of the model?
Capital One's approach hinges on data being in order and the proprietary data ecosystem driving the AI advantage; owning models allows tighter governance, better efficiency, and bespoke customization aligned with business processes, making the transformation durable rather than dependent on external APIs.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Tech Disruptors

What is Tech Disruptors about and what kind of topics does it cover?

This series features in-depth conversations with industry leaders and experts regarding various transformative and disruptive trends affecting the technology landscape. With a focus on subjects such as artificial intelligence, cloud computing, e-commerce, and fintech, it provides listeners insights into emerging technologies and their implications for businesses and economies. The discussions often highlight innovations in sectors like EVs, streaming, and automation, making it particularly informative for professionals seeking to understand market shifts and investment opportunities. Overall, the content is tailored for professionals and investors interested in staying ahead in rapidly evolving technological environments.

Where can I find podcast stats for Tech Disruptors?

Rephonic provides a wide range of podcast stats for Tech Disruptors. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Tech Disruptors and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Tech Disruptors get?

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What are the audience demographics for Tech Disruptors?

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How many subscribers and views does Tech Disruptors have?

To see how many followers or subscribers Tech Disruptors has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to Tech Disruptors?

These podcasts share a similar audience with Tech Disruptors:

1. Bloomberg Tech
2. The a16z Show
3. Masters in Business
4. Trillions
5. No Priors: Artificial Intelligence | Technology | Startups

How many episodes of Tech Disruptors are there?

Tech Disruptors launched 4 years ago and published 325 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Tech Disruptors?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Tech Disruptors?

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What guests have appeared on Tech Disruptors?

Recent guests on Tech Disruptors include:

1. Chris Caldwell
2. Madhav Thattai
3. Mike Capone
4. Owen Jennings
5. Prem Natarajan
6. Michael Hurlston
7. Kathy Ta
8. Jen Wong

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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