rsssoftware https://my.idc.com/rss/2812.do IDC RSS alerts Salesforce's 1Q27 Financial Results: Orchestration and Action Across the Enterprise Display the Value of Agentic AI https://my.idc.com/getdoc.jsp?containerId=US54793825&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Perspective highlights some of the key takeaways from and IDC's thoughts on Salesforce's 1Q27 financial results. </P><P>"Agentic AI adoption is accelerating, but success hinges on orchestration across business functions, not siloed automation," states Aly Pinder Jr, research vice president, Worldwide Aftermarket Services Strategies, IDC. "Organizations need governance frameworks and measurable ROI, not just feature adoption."</P> Market Perspective Sun, 09 Aug 2026 04:00:00 GMT Aly Pinder, Robert Parker, Stewart Bond, Heather Hershey, Megha Kumar, Wayne Kurtzman, Tiffany McCormick, Tapan Patel ServiceNow Knowledge 2026: Shift from AI Chaos to Control and Action https://my.idc.com/getdoc.jsp?containerId=US54798726&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Note highlights IDC's perspective and key takeaways from ServiceNow's Knowledge 2026 event with additional insights specific to the impact on field service, the aftermarket, and CX. </P><P>"The era of patchwork AI agents is ending; true enterprise advantage now lies in orchestrating agents, data, and people across end-to-end processes," states Aly Pinder Jr, research vice president, Worldwide Aftermarket Services Strategies, IDC. "Are you ready to move from AI chaos to control and unlock the promise of agentic business transformation?"</P> Market Note Sun, 09 Aug 2026 04:00:00 GMT Aly Pinder Verint Engage 2026: Betting on Agent Factory to Close the AI Outcomes Gap https://my.idc.com/getdoc.jsp?containerId=US53357926&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Market Note examines the announcements Verint made at its Engage 2026 user conference, the company's first since completing its take-private merger with Calabrio under Thoma Bravo. It covers the launch of Verint Agent Factory and three connected capabilities — Workforce Intelligence, Desktop Intelligence, and Quality Intelligence — along with the customer research and proof points Verint presented to support its argument that AI investment in customer experience (CX) has outpaced measurable outcomes. IDC assesses the announcements against the company's post-merger integration promises, new product launches, and its position relative to CCaaS and CX automation platforms.</P><P>"AI spending in customer experience keeps climbing while measurable outcomes lag behind," said Tapan Patel, research director, Customer Data Platform, Intelligence and Analytics at IDC. "Agent Factory gives Verint an orchestration layer for coordinating human and AI agents inside CX workflows, not just another standalone bot. How Verint prioritizes AI governance, data unification, and built-in results measurement on its road map will matter more, since that's what will ultimately decide whether outcomes catch up to the investment."</P> Market Note Sun, 09 Aug 2026 04:00:00 GMT Tapan Patel Figma’s Product Expansion Illustrates Design-Led Development as an Emerging Form of Intent-Driven Development https://my.idc.com/getdoc.jsp?containerId=lcUS54853726&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication IDC Link Fri, 07 Aug 2026 04:00:00 GMT Arnal Dayaratna IDC MarketScape: Worldwide Corporate Client Life-Cycle Management for Financial Services 2026 Vendor Assessment https://my.idc.com/getdoc.jsp?containerId=US54117826&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study evaluates the worldwide market for purpose-built corporate client life-cycle management (CLM) platforms serving financial institutions, covering entity onboarding, screening and sanctions, periodic review, and offboarding for corporate banking KYB. IDC finds that the core CLM problem, competent, auditable execution of the entity life cycle, is close to solved across most vendors evaluated. The more consequential competitive question is what comes next: whether a vendor's governed entity record can become an operational foundation that other functions, credit, pricing, risk, and financial crime draw on directly, rather than remaining a compliance-only artifact accessed through manual requests. IDC finds this shift is directionally clear but unevenly executed. Agentic automation mature enough to carry real decisioning weight has not yet reached production at scale anywhere in this market, even as investment in it accelerates broadly, and regulatory change across the EU, the United States, and APAC is reshaping what "defensible evidence" will mean for the vendors and institutions that build on this foundation next. This document also provides guidance for technology buyers on evaluating vendors, building an internal business case, and structuring vendor relationships for this next phase, regardless of where a given vendor currently sits in the competitive landscape. </P><P>"Corporate CLM has largely solved the problem it was built for," said Sam Abadir, research director, Risk, Compliance, and Financial Crime, IDC. "The interesting question now is what these vendors do with what they've already built. The institutions getting the most value aren't the ones with the flashiest agentic pitch. They're the ones that stopped treating this as a compliance problem and started treating it as an enterprise and operational risk problem, one where the same governed entity data that satisfies a regulator also sharpens a credit or pricing decision. That requires holding every vendor, not just the ones already ahead, to evidence rather than road map language."</P> IDC MarketScape Fri, 07 Aug 2026 04:00:00 GMT Sam Abadir IDC MarketScape: Worldwide Employee Experience Consulting Services 2026 Vendor Assessment https://my.idc.com/getdoc.jsp?containerId=US54788126&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study for worldwide employee experience (EX) consulting services includes analysis of the business consulting services organizations with the largest exclusive practices covering EX transformation as referenced from IDC’s Services Tracker. The definition of EX consulting services is referenced from the IDC Market Glance for Employee Experience, 2Q26, with defined practice submarkets identified within IDC’s services taxonomy. </P><P>Employee experience consulting services are shifting as the impact of EX is reaching beyond human resources (HR) and manager training to impact how work is designed, teams are structured, and accountabilities are managed. The expanding relevance of EX transformation is being matched by the encroaching use of AI to centralize how insights from across the organization colorize decision-making within and across the workforce. </P><P>“EX consulting is increasingly becoming intertwined with AI transformation as workforce leaders need guidance to transform employee enablement to align workforce outcomes with business expectations for agility and adaptability,” says Zachary Chertok, senior research manager, HCM Applications and Agents at IDC. “While consultancies continue to be best classified by their strategic point of client partnership, an increasing number are branching out beyond those points of entry to support strategy, operations, and digital orchestration guidance for their clients.”</P> IDC MarketScape Fri, 07 Aug 2026 04:00:00 GMT Zachary Chertok IDC MarketScape: Worldwide Employee Experience — Rewards, Recognition, and Markers of Success 2026 Vendor Assessment https://my.idc.com/getdoc.jsp?containerId=US54793626&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC study evaluates rewards and recognition vendors for their capabilities and future outlook spanning recognition, engagement, and performative data collection and insights enablement. Recognition insights are maturing faster in embedded performance frameworks than any other employee experience feature apart from learning experience management. As value exploration and mining within recognition data matures and grows, the vendor landscape is assuming additional new table stakes beyond adoption, engagement, and retention impact to also support use cases ranging from cross-modeling into skills and performance validation to behavioral insights that map individual environmental and enablement factors of success.</P><P>“Rewards and recognition data sets are taking on new performative meaning for client organizations,” says Zachary Chertok, senior research manager for HCM Applications and Agents at IDC. “Rewards and recognition started out as drivers of organizational culture change and engagement enablement. While both solution markets are continuing to support their original mission, use cases for the data and insights they generate are evolving to provide crowdsourced, performative context and validation for individual employee skills, interests, motivation factors, and collaboration and leadership potential. Consequently, the modern use cases for rewards and recognition are embedding deeply into the future potential of AI transformation and how agents performatively augment humans at work.”</P> IDC MarketScape Fri, 07 Aug 2026 04:00:00 GMT Zachary Chertok, Leonardo Freitas IDC PlanScape: Managed Risk Strategies to Drive Innovation https://my.idc.com/getdoc.jsp?containerId=US54788826&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This report explores how to maintain innovation speed while protecting the enterprise, offering lightweight governance patterns that preserve creative freedom while ensuring responsible, safe experimentation.</P><P>The foundational layer of this framework shifts the risk management paradigm from a subjective, plodding approach to a predefined objective guardrail that puts the onus on the creator to define an acceptable approach. It does this by replacing traditional, physical R&D environments with cloud-based, logically isolated sandboxes. Rather than relying on human policy enforcement or document-heavy developer constraints, these sandboxes employ architectural standards combined with automated policy as code. By embedding security and regulatory guardrails directly into the infrastructure layer, the organization establishes a self-policing environment. If a user attempts a non-compliant deployment or risks exposing proprietary data, the PaC engine instantly blocks the action. According to Gerald Johnston, IDC adjunct research advisor: </P><P>Operationally, this architecture establishes a rapid demo-based pipeline that eliminates the structural translation loss of traditional product specifications. Business units use the managed sandbox to rapidly generate functional POCs to validate market viability and test tool feasibility. Once value is proven, an internal consulting team — ideally a small, cross-functional group sitting between the lab and central IT, funded as a shared organizational capability — acts as an organizational translator to bridge the gap between the business and central engineering. This specialized team extracts the underlying logic and data schemas of the POC, ensuring institutional knowledge is preserved, before handing it over to core engineering. Central technology’s sole mandate is then to rebuild and harden the application for enterprise resilience, high availability, and strict regulatory compliance in a non-lab production environment.</P><P>Organizations need not adopt this model all at once. Like any governance capability, maturity is built incrementally — beginning with sandbox isolation and basic PaC guardrails, then layering in the consulting translator function and external ingestion patterns as the organization’s confidence and capacity grow.</P><P>Ultimately, this virtualized framework can be extended externally to function as what IDC calls in this report an “innovation hypervisor.” Just as virtual computing runs volatile software inside isolated virtual machines without threatening the host environment, this model abstracts the risk of early-stage external technology. Start-ups and emerging tools are ingested as modular, disposable components isolated within the lab’s secure container, enabling the enterprise to experiment at the edge without exposing its core.</P> IDC PlanScape Fri, 07 Aug 2026 04:00:00 GMT Gerald Johnston IDC Survey: Energy Transition in the Retail Industry — Findings from IDC's Energy Transition Survey, 2026 https://my.idc.com/getdoc.jsp?containerId=EUR154786626&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC Survey profiles the 108 retail respondents in IDC's 2026 <I>Energy Transition Survey,</I> spanning manufacturing, buildings, transportation, construction, retail, and datacenters.</P><P>It examines targets, drivers, actions, renewable sourcing, investment plans, digital applications, data readiness, buying roles, supplier requirements, barriers, benefits, and ROI expectations. </P><P>The analysis covers:</P><UL><LI>Net-zero timing and the shift from commitment to execution planning</LI><LI>Retail drivers, investment trajectory, energy actions, and renewable sourcing choices</LI><LI>Digital investment, technology deployment, and AI maturity across retail operations</LI><LI>Greenhouse gas data collection progress, data issues, and system of record choices</LI><LI>Budget holders, decision-makers, supplier tender requirements, and responsible sourcing activities</LI><LI>Organizational and technology barriers, achieved benefits, and ROI expectations</LI></UL> IDC Survey Fri, 07 Aug 2026 04:00:00 GMT Roberta Bigliani, Filippo Battaini, Margot Juros, Ornella Urso Market Forecast: Worldwide Customer Data Platform Forecast, 2026–2030 https://my.idc.com/getdoc.jsp?containerId=US53976926&utm_medium=rss_feed&utm_source=alert&utm_campaign=rss_syndication <P>This IDC presentation presents the five-year forecast for the customer data platform (CDP) market and delivers insights into the drivers and inhibitors of growth.</P><P>The CDP market is expected to grow at 17.9% annually through 2030 as the platform’s role shifts from simply unifying customer data to also serving as the customer context layer for AI. The CDPs that win this next phase will be those that make consented first-party data (identity, intent, preferences, and entitlement) addressable in real time to both humans and AI agents, and that push trusted customer profiles beyond marketing into sales, service, loyalty, and commerce for B2C or B2B use cases. In an era when discovery and buying increasingly happen through AI agents, a brand’s proprietary, well-governed customer data and context become its most competitive asset.</P> Market Presentation Fri, 07 Aug 2026 04:00:00 GMT Tapan Patel