... Orchestration and Choreography Packaged Integration Processes Runtime Options Security and Compliance Software Developer Experience Data Consistency (Applications) Data Consistency (Data) Multistep Process (Internal) Multistep Process (External) Composite Service AI Enablement Inclusion Criteria Gartner Recommended ...
Analyst(s): Allan Wilkins | Andrew Humphreys | Keith Guttridge | Andrew Comes
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... relevant key metrics, hot topics and trends for data and analytics leaders to inform their strategic vision. The data points and analysis are based on our internal and external data sources, including but not limited to our benchmarking and survey data, client inquiries and analyst points of view on ...
... Agents, semantics and platforms are the major themes in the top trends in data and analytics for 2026. For D&A leaders looking to identify key business and technology themes, these areas are essential to deliver cost-effective value and become an AI-first enterprise faster. Overview Contributors Gartner ...
Analyst(s): Christopher Long | David Pidsley | Rita Sallam | Ramke Ramakrishnan | Robert Thanaraj
... offers large enterprises a single AI platform for broad generative and agentic capabilities. While its vision is ambitious, AI leaders must assess its data, governance and workflow integration capabilities closely before making strategic bets. Overview Gartner Recommended Reading Evolving Insights History ...
... Gartner First Takes Fresh insights on emerging trends Autonomous AI agents boost enterprise productivity but increase data and identity risk. Backup vendors are starting to offer “known good state” recovery. Veeam’s new Agent Commander exemplifies this emerging remediation trend. CIOs must ensure these ...
Analyst(s): Fintan Quinn | Eric Grenier | Dennis Xu
... Gartner First Takes Fresh insights on emerging trends Salesforce’s new contact center as a service product natively unifies voice, digital channels, CRM data, and AI agents into one system. Service and support tech leaders should view this launch as underscoring a broader consolidation of the customer engagement ...
Analyst(s): Jason Bridge | Pankil Sheth | Drew Kraus | Pri Rathnayake
... The core risk to AI adoption is that models don’t just fail, they “fail convincingly” and lead to the loss of stakeholder trust. This research helps data scientists and AI architects translate performance signals into actionable reliability narratives that build confidence in predictive AI models. Overview ...
... stack is crucial for effective AI agent deployment. This framework involves mapping decision flows and integrating guardrails, knowledge assets, and data. This controlled approach ensures that AI agents support business goals within defined risk tolerance. Insights at a Glance Issue Impact More Detail ...
Analyst(s): Lindsay Azim | Julia Heyman | Alan O'Keeffe | Lorraine Gavin | Cristina Carvallo
... attorney-client privilege hinges on how legal advice is generated, processed and safeguarded. General counsel must evaluate vendor terms and strengthen data governance procedures for legal materials to ensure privileged status is preserved. Insights at a Glance Issue Impact Implications Gartner Recommended ...
Analyst(s): Joe Trejo | Katarzyna Fonteyn | Chris Audet | Stuart Strome