Vast Data Tackles Enterprise AI Security Needs

Jfrog CEO Shlomi Ben Haim sits down with Mandeep Singh, Bloomberg Intelligence’s global head of technology research, ahead of their swampUP 2026 event. The evolving software supply chain, driven by AI-agent deployments, MCP servers, and reusable skills, is emerging as a major trend that could reshape the broader DevOps market. They also discuss the security vulnerabilities with increasing model capabilities and the OpenAI-Hugging cyber incident. 

Vast Data is extending its AI Operating System to tackle data security in AI workloads, one of the key obstacles to broader enterprise adoption. CEO Renen Hallak returns to the Tech Disruptors podcast, joining Bloomberg Intelligence analyst Woo Jin Ho to discuss the challenges enterprises face in the AI era, why they need greater control over how models interact with sensitive data and how confidential computing can help bridge that gap. The conversation also explores the emerging need for model management, the role of data and infrastructure in agentic AI, the evolving vendor ecosystem and how Vast sees its position changing as AI deployments become more distributed, autonomous and complex.

What happens when every fintech starts to look like a bank — and every bank starts to look like a fintech? As payments apps, neobanks and traditional banks converge around the same expanding suite of financial products, simply having more features is becoming less of a differentiator. In this episode of the Tech Disruptors podcast, OnePay CEO Omer Ismail joins Bloomberg Intelligence global fintech and payments analyst Diksha Gera to examine where the next competitive moats in consumer finance may actually emerge: distribution, economics, data and trust. They discuss whether Walmart’s enormous physical and digital reach can change the cost and adoption curve of building a financial platform; whether bundling banking, credit, payments and investing creates deeper customer relationships or just a longer product menu; and how AI agents could reshape who owns the financial interface.

Amazon.com is turning the logistics network it built for itself into an end-to-end supply-chain platform for other companies. In this Talking Transports podcast, Amazon Supply Chain Services Head Peter Larsen joins Bloomberg Intelligence’s senior transportation and logistics analyst Lee Klaskow to discuss how ASCS is expanding across ocean and air freight, trucking, intermodal, fulfillment and parcel. Larsen says parcel is “cooking with gas,” while international markets offer significant growth potential. He explains how Amazon’s scale, more than 1 million robots and AI-powered inventory placement can give customers greater visibility and resilience. They also discuss rising trucking costs, Amazon’s shift toward more intermodal, its mix of owned and third-party capacity and why supply chains should be viewed as a growth driver rather than just a cost center.

Quantum computing is approaching an inflection point, with dozens of companies and multiple modalities racing to be first to reach broad commercialization. In this episode of the Tech Disruptors podcast, Xanadu founder and CEO Dr. Christian Weedbrook joins Bloomberg Intelligence analyst Jake Silverman to discuss how photonics could be used to achieve fault-tolerant quantum computing in the near future and how it differs from other approaches. They also discuss how enterprises view quantum computing today, potential applications and Xanadu’s plans to scale its quantum-computing hardware.

“Just because you’re the biggest spender doesn’t mean you’re going to deliver the biggest value,” Chris Hennesey, Enterprise Finance Strategist and Executive in Residence at AWS, tells Bloomberg Intelligence Senior Technology Analyst Anurag Rana. In this episode, the pair discuss how enterprises are grappling with rising AI costs, from forecasting token consumption and eliminating waste to choosing the right mix of frontier, open-weight and smaller models. Hennesey explains why caching, intelligent model routing and tighter cost attribution can improve AI economics, while companies increasingly need to connect productivity gains to measurable business outcomes and ultimately the P&L.

With the latest energy shock pushing UK inflation higher while economic growth remains subdued, investors are questioning whether markets have priced too much Bank of England tightening. Jack Meaning, UK chief economist at Barclays, joins Bloomberg Intelligence chief US interest rate strategist Ira Jersey to discuss that and more on this Macro Matters edition of the FICC Focus podcast. Meaning explains why Barclays expects inflation to climb above 3% in the second half of 2026 but sees little evidence of the wage or second-round effects that would make the increase durable. The two discuss why keeping Bank Rate at 3.75% already represents a meaningful tightening relative to earlier market expectations and how restrictive financing conditions and labor-market slack are weighing on growth. They also explore whether improving investment intentions — including spending tied to artificial intelligence — can provide support. The conversation examines Brexit’s lingering impact, the UK’s difficult fiscal choices and why Barclays expects the Bank of England to remain on hold this year before inflation moves back toward target in 2027. The episode concludes with a look at the central bank’s upcoming quantitative-tightening decision and the debate over continuing active gilt sales.

“Hopefully in three or four years, we will be on 50% of all the devices on the planet,” Ramin Hasani, co-founder and CEO of Liquid AI and a machine-learning scientist at MIT’s Computer Science and Artificial Intelligence Laboratory, tells Bloomberg Intelligence senior technology analyst Anurag Rana. In this episode of the Tech Disruptors podcast, the pair discuss how Liquid AI’s alternative to transformer architecture could make foundation models dramatically more efficient, allowing specialized intelligence to run directly on cars, phones, laptops and other edge devices rather than relying on data centers. Hasani explains how Liquid AI is working with companies including Mercedes-Benz and Shopify while developing personalized and proactive agents that could turn its models into an intelligence layer spanning devices, enterprises and the physical world.

“The hardest challenge in enterprise agent deployment is not generating them; it’s the accountability,” Kristin Milchanowski, chief AI and quantum officer at BMO Financial Group, tells Bloomberg Intelligence senior analysts Paul Gulberg and Anurag Rana. In this episode, the group discusses BMO’s AI profit target of $1 billion by 2030, how the bank is embedding AI into core workflows and why agentic systems still require strong human oversight, governance and measurable benchmarks. Milchanowski explains how BMO is designing for model change with a hybrid infrastructure, exploring small language models for focused workflows, and prioritizing measurable business value over token consumption as it expands AI across the enterprise.

Reducing inefficiencies across financial services, automating workflows and maximizing available cash flow for small- and medium-sized businesses (SMBs) is central to BILL’s mission. On this episode of Tech Disruptors, the company’s chief product officer, Mike Cieri, joins Bloomberg Intelligence analyst Niraj Patel to discuss the creation of a future financial platform that covers payments, spending and expenses, accounts payable, financial planning and analysis and more. He explains how BILL is leveraging AI across its portfolio, which serves close to 500,000 SMBs, and talks about the fragmented payments landscape, customer priorities and the company’s transaction agents.