rssmarketingandsales

Broadcom Mainframe AR Forum 2026: AI on Mainframe's Terms

Adam Resnick — Wed, 17 Jun 2026 04:00:00 GMT

TrustCloud Launches Application Assurance, Replacing Point-in-Time Security Assessments with Continuous, AI-Native Control Monitoring Across the Enterprise Application Landscape

Philip D. Harris, CISSP, CCSK — Tue, 16 Jun 2026 04:00:00 GMT

TrustCloud has launched Application Assurance, an AI-native enterprise platform that replaces manual questionnaires, email-chasing evidence, and quarterly point-in-time security assessments with a continuously operating control-monitoring engine that covers up to 96% of enterprise applications. Built on a Control Graph architecture and an AI Assessment Agent, Application Assurance delivers 360-degree visibility into every business application's risk surface, technology dependencies, data obligations, and control status, translating technical findings into board-level business impact analysis. Validated across Fortune 100 customers with results including a 6x ROI, 63% average reduction in residual risk, and 133 days of productivity savings per user annually, TrustCloud addresses one of the most consequential gaps in enterprise security governance: the inability of CISOs to maintain continuous, verifiable assurance across the full scope of business-critical applications. IDC views Application Assurance as a meaningful advancement in AI-native GRC transformation, with particular significance for Global 2000 enterprises where legacy assessment models can no longer reliably serve.

IDC Survey: Early Adopters of Agentic AI Use Cases Within the Marketing Function, 2026

Sudhir Rajagopal, Gerry Murray, Laurie Buczek — Mon, 15 Jun 2026 04:00:00 GMT

This IDC Survey captures the results of an in-depth study of 1,967 respondents with responsibility and knowledge of agentic AI solutions across 13 functional areas within enterprises. This report focuses on the results of an analysis of 12 high-value AI use cases across 154 functional respondents from marketing. The survey sample was specifically targeted at experienced marketers with strong knowledge of agentic AI, who shared their experience with deploying AI agents in marketing beyond experiments.

IDC’s findings reveal adoption patterns, business outcomes, implementation challenges, and top use cases prioritized by early adopters in marketing. For marketing leaders, this report offers actionable guidance on how to build trust in AI agents, shift metrics from adoption to performance, enable smarter investment decisions, improve the reliability of agent outcomes, and accelerate agentic AI deployment.

Microsoft Build 2026: A New Development Platform for the Agent Era

Adam Reeves, Matthew Flug — Fri, 12 Jun 2026 04:00:00 GMT

At Microsoft Build 2026, Microsoft announced a coordinated set of platform updates spanning developer tooling, agent runtimes, data infrastructure, and its own model family, framing GitHub, Windows, and Azure Foundry as a unified surface for building and deploying agentic applications. The announcements reflect a broader market shift in which PaaS selection is increasingly shaped by a platform's ability to address security, governance, and production readiness for agentic workloads, not development speed alone.

IDC Survey Spotlight: What Do Buyers Want from Agentic AI and Who Owns the Agentic AI Investment Decision within Marketing, Sales, and Customer Service Functions?

Tapan Patel — Thu, 11 Jun 2026 04:00:00 GMT

This IDC Survey Spotlight summarizes findings from IDC's April 2026 Agentic AI Functional Use Case Survey of marketing, sales, and customer service decision-makers. The study examines what these buyers expect from technology vendors as they move agentic AI into production, and how investment authority is distributed across business leaders, IT, and emerging AI centers of excellence (COEs).

This study highlights three tensions: shared business–IT ownership versus traditional line-of-business control, enthusiasm for agentic AI ideas versus uncertainty about which use cases to fund first, and strong interest in AI agents versus concerns about data, context, and content readiness. The slides explore how these dynamics should shape vendor priorities in go-to-market, services, and product road maps.

IDC Survey Spotlight: What Marketing Success Metrics Will Become More Important as a Result of AI Marketing?

Sudhir Rajagopal — Tue, 09 Jun 2026 04:00:00 GMT

This IDC Survey Spotlight is based on the results of IDC’s 2025 AI Marketing Maturity Benchmark Study. The study evaluated how effectively marketing organizations are adopting and scaling AI across five critical dimensions: strategy, people and organization, processes, governance, and data and technology.

As AI reshapes marketing operations, CMOs must evaluate whether their marketing measurement frameworks are keeping up with AI-driven practices. This study explores how transforming and nascent organizations vary in the key performance indicators (KPIs) that will emerge as priorities for AI-driven marketing. Furthermore, this study discusses where competitive advantage will be won, with one emerging metric registering as a near-universal blind spot across the market.

Bloomreach Brings Enterprise Personalization to Shopify Merchants with Loomi AI

Gerry Murray — Mon, 08 Jun 2026 04:00:00 GMT

By bundling its full AI personalization stack — search, recommendations, promotions, and omni-channel marketing — into a no-code Shopify app at no additional cost for AI capabilities, Bloomreach simultaneously expanded its addressable market by orders of magnitude and raised the competitive bar for personalization vendors who still charge separately for AI.

Marketing's New Operating Model for the AI Era

Amy Loomis, Ph.D., Sudhir Rajagopal — Thu, 04 Jun 2026 04:00:00 GMT

This IDC Perspective explores how AI is reshaping marketing's operating model, leadership, roles, and performance metrics. While AI adoption accelerates productivity and innovation, most organizations remain early in their AI maturity journey, facing challenges in governance, change management, and aligning technology with business outcomes. The document examines how CMOs are transforming their marketing operating models in response to AI and offers recommended actions for fellow CMOs navigating the shift from AI experimentation to enterprise-scale adoption.

"Marketing's AI gap isn't technological; it's organizational," said Sudhir Rajagopal, research director, IDC CMO Advisory. "Marketing workflow redesign, governance architecture, new marketing roles, and change management must move together with AI tech adoption. The CMOs pulling ahead are fundamentally rebuilding how marketing operates, makes decisions, and drives business growth across the enterprise."

Adobe's Agentic Ambition: A Unified CX Vision Aimed at Driving Differentiation and CIO Relevance

Wed, 03 Jun 2026 04:00:00 GMT

This IDC Market Perspective discusses Adobe Summit 2026. Adobe is repositioning its Experience Cloud as a unified execution layer for customer experience (CX) in the agentic AI era, moving beyond generative AI features to focus on operational systems that connect data, content, and customer journeys. The Adobe Summit 2026 highlighted the launch of CX Enterprise and CX Enterprise Coworker, signaling a strategic shift toward CIO/CTO relevance, open ecosystem compatibility, and enterprise-grade governance. Adobe's approach emphasizes orchestration and integration with third-party systems, aiming to serve as the activation and engagement layer rather than a closed ecosystem.

While Adobe's vision is credible and directionally correct, differentiation and measurable business outcomes are not yet fully realized. The company must accelerate product unification, lean into ecosystem compatibility, and treat services partners as strategic collaborators to expand influence beyond marketing into enterprisewide transformation.

"As customer experience shifts toward agentic AI, Adobe is attempting to reposition itself from a marketing platform into the enterprise execution layer for AI-driven engagement," said Roger Beharry Lall, research director, Advertising Technologies and SMB Marketing Applications, IDC. "The vision is compelling, but long-term differentiation will depend on Adobe's ability to prove measurable business outcomes, simplify operational complexity, and establish a defensible role within increasingly open AI ecosystems."

IDC Survey: Early Adopters of Agentic AI Use Cases Within the Facilities Function, 2026

Brian O'Rourke — Wed, 03 Jun 2026 04:00:00 GMT

This IDC Survey provides insights from IDC's January 2026 Global Agentic AI Use Case Survey. The study was designed to answer questions such as how much autonomy organizations have been able to achieve in processes, how many companies have a formal enterprise AI strategy, what types of systems have agentic AI deployments, and questions pertaining to posture assessment and preferred measures of governance.

The 13 business segments that IDC surveyed were customer service, cybersecurity, engineering/R&D, facilities, finance, HR, IT operations, legal, marketing, procurement, sales, development, and supply chain. This specific study compares the usage and tendencies of facilities against the sum total of all 13 disciplines. This study also compares current usage as well as the road map of agentic AI usage.