Insurable Interest Canadian Insurance Blog

Analysts exploring how CMOs can adapt media strategy for fragmented attention and AI-driven content skepticism during Gartner Marketing Symposium/Xpo Stamford, CT (June 16, 2026) – Forty-nine percent of U.S. consumers agree that GenAI has made the quality of content available worse, according to a survey by Gartner, Inc., a business and technology insights company. Among younger consumers, including Gen Z and millennials, 57% agree that GenAI has made content quality worse. A Gartner survey of 307 U.S. consumers conducted in March 2026 found that AI is contributing to a more skeptical media environment, raising the stakes for brands to create recognizable, credible and high-quality content. The findings were presented during Gartner Marketing Symposium/Xpo in Denver. “AI-generated content is increasing the volume of media that consumers encounter, but not necessarily the value,” said Kate Muhl, VP Analyst in the Gartner Marketing practice. “In a more skeptical media environment, brands need to be more recognizable, more credible and more intentional about the contexts in which they appear.” Consumer Attention Is Fragmented Across Media Environments The survey also found that 59% of U.S. consumers prefer to do several media or technology activities at the same time, such as watching TV, using the internet...

By Neel Sundaresan, General Manager, Automation and AI, IBM, and Michael Kwok, Vice President, IBM Bob & Canada Lab Director — Ever since we introduced IBM Bob, organizations have applied Bob across their development environments, not just to write code faster but to rethink how software gets built at enterprise scale. — AI has accelerated how code is generated, but bottlenecks were never just about writing code. They come from understanding complex systems, coordinating change across teams and managing risk across the software development lifecycle (SDLC). As systems grow, development becomes less about individual tasks and more about coordinating change across interconnected systems. This shift requires a new model where work spans the full lifecycle instead of happening in isolated steps. The need for a different approach To address this shift, IBM built Bob in response to what enterprise teams consistently told us they needed. Organizations are not just asking for gains in raw productivity. They need systems that reflect how outcomes are delivered across complex environments. Existing tools solve parts of this problem but still require teams to assemble their own systems across models and tooling. Bob was designed differently: as an agentic SDLC partner that integrates orchestration, execution, and governance directly...

Innovative model brings together some of Canada’s largest and most regulated institutions to build shared capabilities to develop, govern and scale AI Toronto, ON (July 10, 2026) – Lightworks, Scotiabank, Sun Life and TELUS are pleased to announce the launch of the AI Consortium, a trailblazing model bringing together some of Canada’s largest and most regulated organizations to build and govern the critical infrastructure needed to implement artificial intelligence (AI) safely, responsibly and at enterprise scale. Many of the core challenges large, regulated institutions face when implementing AI are shared, from integrating diverse standards, platforms and technologies to maintaining governance, oversight and operational control as AI use scales. The Consortium enables members to pool hands-on engineering, conduct deep research and align interests to jointly build and govern mission-critical AI control systems and intellectual property they would otherwise develop independently, with resulting IP deployed individually and available to members through perpetual-use and ownership rights. The AI Consortium’s flagship program, the Agentic Control Plane (ACP), is already running in production in regulated environments. The ACP gives enterprises the visibility and control needed to manage Agentic AI at scale, across models, agents, users and inference pipelines. It helps support regulatory compliance, maintain operational control...

Johnston, RI (July 10, 2026) – Broker Intelligence is pleased to introduce two new strategic programs designed specifically to help property and casualty insurance brokerages prepare for the future. AI Readiness Program “Building the Foundation for Successful AI Adoption” How can your brokerage adopt AI in a structured, secure, and business-aligned way? This program will help your organization: Assess your brokerage’s AI maturity; Identify the highest-value AI use cases; Establish the foundations of an AI governance framework; Build a shared vision among executives and managers; Develop a practical AI governance framework with clear recommendations for next steps. Technology Adoption Program “Building the Foundation for Successful Technology Adoption” How can your brokerage maximize the adoption of new technology and ensure long-term success? This program will help your organization: Prepare managers to lead organizational change; Engage employees throughout the transformation journey; Develop a structured communication strategy; Support the evolution of business practices; Drive lasting adoption of new technologies. Our Perspective Technology alone doesn’t transform an organization. People, leadership, and business practices are what turn technology investments into measurable business results. Whether you’re implementing a new BMS, CRM, AI solution, customer platform, or any other technology initiative, our strategic programs help your brokerage accelerate adoption,...