Tech Disruptors

AI-fueled product innovation is likely to reset many functions and industries, and companies could look to harness the full power of their data to drive business intelligence. In this episode of the Tech Disruptors podcast, Mike Capone, CEO of Qlik, joins Sunil Rajgopal, senior software analyst at Bloomberg Intelligence, to discuss enterprise analytics and intelligence tools, the evolving data-integration and transformation landscape and the potential impacts of AI. The two also talk about the acquisition of Talend, competition in the industry, AI monetization and future product verticals and initiatives.Listen to this episode on Apple Podcasts and Spotify.

Okta CEO Todd McKinnon says clients are increasingly asking about resiliency in identity security — a mission-critical enterprise application — amid the fallout of the CrowdStrike global outage. In this episode of Bloomberg Intelligence’s Tech Disruptors podcast, BI tech analyst Mandeep Singh talks with McKinnon about the moats that Okta has carved over Microsoft, consolidation in cybersecurity, the application of generative AI and more

Enterprises implementing AI would likely end up with a combination of their own core specialized models and out-of-the-box frontier solutions, Rafee Tarafdar, Infosys’ Head of Strategic Technology Group said on the Tech Disruptors podcast. Tarafdar and Bloomberg Intelligence’s senior technology analyst Anurag Rana discussed several AI use cases across retail, supply chain, services and operations, as well as essential requirements for enterprises to capitalize on the emerging technology. They also compared large and small language models, talked about on-premise model operations and looked into where the future value of AI lies.

Building responsive and high-powered websites through an intuitive and visual development approach is Webflow’s core strength, with its no-code technology offering broad appeal to marketers and engineers. Vlad Magdalin, co-founder and chief innovation officer, tells Bloomberg Intelligence. Linda Tong, Webflow’s CEO, also shares her thoughts on software-spending trends and customer segmentation in this episode of the Tech Disruptors podcast, Magdalin and Tong sit down with Bloomberg Intelligence analyst Niraj Patel to dive into the details of Webflow’s differentiation and its targeted customer. Hear their insights on the competitive positioning among website builders, Gen AI as a potential disruptor and what product features to expect next from the company.

“Every customer recognizes that it is data that is the fuel that powers AI,” says Arun Ulag, corporate vice president of Microsoft’s Azure Data. In this episode of Bloomberg Intelligence’s Tech Disruptors podcast, Ulag talks with BI senior technology analyst Anurag Rana about how Microsoft has been reorganizing its data management and insights portfolio for customers looking to leverage their data for AI. At the center of this is Microsoft Fabric, the company’s newer software-as-a-service, aimed at delivering a full data and analytics platform all in one. Ulag also discusses the company’s efforts to leverage open data to make its services compatible with third parties outside the Microsoft ecosystem, to provide customers with the widest range of options.

Enterprise information management tools, processes and outcomes are set to evolve with AI and the shift to cloud. In this episode of Tech Disruptors, OpenText CEO and CTO Mark Barrenechea joins Sunil Rajgopal, senior software analyst at Bloomberg Intelligence, to discuss the development of the enterprise information management landscape, AI-led product and productivity initiatives and the company’s move to become a SaaS-first business. The two also talk about competition, security products, the demand environment and M&A strategy amid evolving macroeconomic dynamics. 

“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.