
Tech Disruptors
Podcast de Bloomberg
Disfruta 30 días gratis
4,99 € / mes después de la prueba.Cancela cuando quieras.

Más de 1 millón de oyentes
Podimo te va a encantar, y no sólo a ti
Valorado con 4,7 en la App Store
Acerca de Tech Disruptors
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 purposes only and does not constitute an offer or investment advice.
Todos los episodios
262 episodios
“AI and agentic marketing is at the top of the list” as the next growth catalyst for customer engagement, Salesforce Marketing Cloud Chief Steve Hammond tells Bloomberg Intelligence, flagging the company’s move to deploy autonomous, context-aware agents that personalize outreach in milliseconds. In this Tech Disruptors episode, Hammond sits down with BI senior technology analyst Anurag Rana to explore how Salesforce’s Marketing Cloud unifies data across sales, service and commerce. He also discusses the role of AI-powered agents and real-time personalization, and why integrated, trust-centric customer data positions marketers for resilience through economic cycles.

AT&T aims to maintain a lead in the US fiber market to sustain growth as its core wireless business slows. In this episode of Tech Disruptors, Jeff McElfresh, Chief Operating Officer of AT&T, speaks with Bloomberg Intelligence analyst John Butler about the company’s plan to expand its base to more than 60 million locations by 2030, from just over 30 million today. They also discuss how solid planning and execution have helped the company to sustain steady subscriber gains in its wireless business amid rising competition and fierce pricing pressure.

AI “is about aligning the semantics of the data, and that’s again why I believe a suite of applications has advantages. If not, the customer has to do it themselves,” Jan Gilg, SAP’s chief revenue officer for the Americas and Global Business Suite, tells Anurag Rana, senior technology analyst at Bloomberg Intelligence. In this Tech Disruptors episode, the two discuss SAP’s Business Data Cloud, its open multi-large-language-model approach, the Joule digital assistant’s cross-application orchestration and how these advances reshape cloud enterprise resource planning and enterprise-scale AI adoption.

Quantum computing remains an area of high interest as use cases hinge on improving qubits and making them less error-prone for calculations. According to Professor Lene Oddershede, chief scientific officer for Planetary Science & Technology at the Novo Nordisk Foundation, the field is on the cusp of exponential growth in the coming years. She joins Bloomberg Intelligence’s analysts Mandeep Singh and Sam Fazeli on this episode of the Tech Disruptors podcast to discuss the applications of quantum computing, its adoption timeline, key roadblocks, standards, benchmarks and its convergence with classical computing.

Work-management platforms are being redefined by AI, new pricing models and intensifying competition. In this Tech Disruptors episode, Smartsheet CEO Mark Mader joins Bloomberg Intelligence senior software analyst Sunil Rajgopal to discuss how technology evaluation is changing in the AI era, with companies balancing “buy vs. build” decisions, and Smartsheet’s evolution from seat-based pricing to more flexible, consumption-driven models. The conversation highlights Smartsheet’s focus on specialized AI solutions to avoid commoditization, the strategic role of M&A, its vision for future product and business growth and how the company is evolving under the private ownership of Blackstone and Vista.

Valorado con 4,7 en la App Store
Disfruta 30 días gratis
4,99 € / mes después de la prueba.Cancela cuando quieras.
Podcasts exclusivos
Sin anuncios
Podcast gratuitos
Audiolibros
20 horas / mes