“Generative AI with a combination of cloud and data is poised to transform every aspect of how organizations operate,” Amazon Web Services Vice President of AI and Data Swami Sivasubramanian says in the latest episode of the Tech Disruptors podcast. Sivasubramanian sits down with Bloomberg Intelligence senior technology analyst Anurag Rana to discuss key developments in data and generative AI, and explores the impact of industry verticals like financial services, health care and media.

Companies’ decision-making is increasingly driven by data, with the quality of that data critical, especially in AI-driven applications. In this episode of the Tech Disruptors podcast, Barr Moses, founder and CEO of Monte Carlo, joins Sunil Rajgopal, senior software analyst at Bloomberg Intelligence, to discuss the intricacies of data-dependent intelligence and how data-observability solutions can be deployed to proactively monitor, identify and resolve data incidents. The two also talk about importance of data quality and testing tools, Monte Carlo’s platform, its business model, competitive landscape and the importance of trusted data for generative AI use cases.

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.

“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.

“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.

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.

Nick Frosst, co-founder of Cohere, discusses the unique approach to model training like retrieval augmented generation, tokenization strategies, and challenges in debugging language models. They explore the significance of large language models with text prompts, focusing on efficient problem-solving in enterprise applications and the debate on model size vs synthetic data for AI development.

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.

“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.

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.