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8x8 Builds an AI-Focused, Outcomes-Driven Communications Engagement Platform

Michelle Morgan, Paul Hughes, Denise Lund, Oru Mohiuddin — Thu, 18 Jun 2026 04:00:00 GMT

Adobe Posts Record 2Q26 Results: AI-First ARR Triples

Gerry Murray, Roger Beharry Lall, Douglas Hayward — Thu, 18 Jun 2026 04:00:00 GMT

Agentic AI for Voice of Customer

Oru Mohiuddin — Thu, 18 Jun 2026 04:00:00 GMT

Agentic AI is transforming voice of the customer (VOC) from a slow, peripheral feedback tool into a core, real-time driver of CX performance. By automating feedback loops, integrating unstructured data, and enabling predictive, autonomous responses, agentic VOC delivers measurable gains in efficiency and quality. However, successful adoption requires robust data integration, governance, and organizational readiness, making it a strategic, platform-level decision for enterprises seeking to compete on CX.

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

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

At its Mainframe Analyst Relations Forum, held June 8–10 in Boston, Broadcom presented an AI strategy centered on embedding AI capabilities directly into its existing mainframe application development and DevOps portfolio rather than building standalone AI products. New capabilities arrive inside the tools customers already use, under existing entitlements, through MCP-based connectivity across DevOps, Data Management, and AIOps value streams. This approach reflects the nature of the platform: A mainframe is built for deterministic, high-volume, and mission-critical execution at a quality and reliability bar that a more disruptive AI product strategy would put at risk. Broadcom is working to build a unified developer experience where mainframe development uses tools and workflows already familiar to developers coming from conventional enterprise environments. The company is making solid progress, though attracting developers to a platform underrepresented in developer culture is a challenge specific to the mainframe, and the broader pressure of measuring AI investment returns is one the whole industry is still working through.

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.