Tech Disruptors

Tech Disruptors

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Tech Disruptors episodes

  • Credit Karma’s Co-Founder on Gen AI, Consumer

    Helping the consumer tackle the financial marketplace for credit cards, auto loans, mortgages, insurance and other financial products is the value that Credit Karma brings to its over 130 million customers, says Ryan Graciano, co-founder and chief product officer of Credit Karma. In this episode of the Tech Disruptors podcast, Graciano sits down with Bloomberg Intelligence analyst Niraj Patel to explain the company’s technology, product vision and the competitive landscape. Tune in to learn his view on Gen-AI platforms and what’s ahead from Intuit’s Credit Karma.

    32 min
  • Coding Assistants, Cloud Migrations and Monetization with AWS

    “Underlying large language models have advanced significantly in the past six months, so that’s allowed us is to start looking at software development in a much more ‘agentic’ approach, where the agent essentially becomes a collaborator with the software developer,” says Deepak Singh, vice president of next-gen developer experience at Amazon Web Services. On this episode of Tech Disruptors, Singh joins Bloomberg Intelligence senior technology analyst Anurag Rana to take a deep dive into the realm of generative-AI chatbots and coding assistants, which the company offers through its Amazon Q service. The two discuss how these gen-AI agents are boosting developer productivity and enticing cloud migration, and how AWS is monetizing this service, both on a seat and a consumption basis.

    43 min
  • Microsoft Reducing AI Compute Requirements with Small Language Models

    “Microsoft is making a bet that we’re not going to need a single AI, we’re going to need many different AIs” Sebastien Bubeck, Microsoft’s vice president of generative-AI research, tells Bloomberg senior technology analyst Anurag Rana. In this Tech Disruptors episode, the two examine the differences between a large language model like ChatGPT-4o and a small language model such as Microsoft’s Phi-3 family. Bubeck and Rana account for various use cases of the models across various industries and workflows. The two also compare the costs and differences in compute/GPU requirements between SLMs and LLMs.

    46 min
  • Ayar Labs Aims to Eliminate AI’s Bottlenecks

    The cloud’s need for a high-performing AI infrastructure to support growing large language models has opened a Pandora’s box of performance bottlenecks. In this edition of Bloomberg Intelligence’s Tech Disruptors podcast, Ayar Labs CEO Mark Wade and VP of Commercial Operations Terry Thorn sit down with BI hardware and networking analyst Woo Jin Ho to discuss the company’s co-packaged silicon photonics that aims to disrupt conventional AI architectures and leapfrog the current wave of input/output technologies in the rapidly evolving computing market.

    46 min
  • Cohere’s Path to Differentiation in LLM Race

    Cohere is one of the frontier large-language-model companies focusing on enterprise-use cases to differentiate it from OpenAI GPT, Google Gemini, Meta Llama, Anthropic Claude and Mistral. Cohere co-founder Nick Frosst joins Bloomberg Intelligence senior technology analyst Mandeep Singh to discuss what makes Cohere unique in its approach to model training and deployment. They discuss retrieval augmented generation, tokenization and more.

    37 min
  • Wrike CEO on AI-Driven Product, Pricing Shift

    The workflow-management-solutions sector is evolving fast, yet remains fragmented and likely on the hunt for new revenue models. In this episode of the Tech Disruptors podcast, Thomas Scott, CEO of Wrike, joins Sunil Rajgopal, senior software analyst at Bloomberg Intelligence, to discuss how AI tools are used to boost client and internal productivity, the demand environment and the company’s product journey. The two also talk about Wrike’s horizontal market approach, future plans and potential pricing models as compute-intensive AI features and workloads grow.

    38 min
  • Salesforce Sales Cloud Exec on Empowering Customers With Data, AI

    “On average, a salesperson spends 30-45 minutes after a sales call on processing the sales call,” says Ketan Karkhanis, Salesforce’s executive vice president and general manager of Sales Cloud. In this installment of Tech Disruptors, Karkhanis sits down with Anurag Rana, Bloomberg Intelligence senior technology analyst, to examine the problem of time-consuming and unproductive tasks faced by salespeople, and how Salesforce and its AI solutions can help address this challenge. Additionally, the two discuss the trend of software consolidation, customer evolution on the Salesforce platform and the power of its developer ecosystem.


    46 min
  • DeepL CEO on AI-Charged Language Translation

    The rising capabilities of AI and progress in large language models are set to reduce communication barriers posed by language diversity. In this episode of the Tech Disruptors Podcast, Jaroslaw Kutylowski, founder and CEO of DeepL, joins Sunil Rajgopal, senior software analyst at Bloomberg Intelligence, to discuss how machine learning is reshaping language translation, along with competing language-translation tools and enterprise adoption. The two also talk about DeepL’s platform makeup, business model and the company’s expansion plans beyond Europe.

    31 min
  • Broadcom’s CPO Will Connect Massive AI Clusters

    AI computing employs GPU/XPU clusters that are growing at unprecedented speeds, as well the bandwidth and power requirements of networks to support them. Near Margalit, Broadcom’s vice president and general manager of the Optical Systems Division, sits down with Bloomberg Intelligence’s senior semiconductor analyst Kunjan Sobhani in this Tech Disruptors podcast episode to discuss Broadcom’s innovations in optical networking, specifically on the role of its co-packaged optics (CPO) and how it could emerge as preferred solution for solving the bandwidth, power and cost challenges of AI infrastructure.

    36 min
  • Precisely CTO Yoğurtçu on Integrating Gen AI

    The readiness of companies’ data for AI use cases will be critical to their innovation and market leadership. In this episode of the Bloomberg Intelligence Tech Disruptors podcast, Precisely CTO Tendü Yoğurtçu and BI’s senior technology analyst Sunil Rajgopal discuss data integration, data quality, location intelligence and data-enrichment tools, and their roles in enterprise intelligence and decision-making. Yoğurtçu zeroes in on the data requirements needed to efficiently integrate generative-AI solutions, the data-integration tools landscape and how Precisely differs from the competition.

    39 min

About Tech Disruptors

From the publisher's feed

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.

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