Automation

Dreamdata AI Tackles the Trust Gap in B2B Marketing Analytics

Dreamdata AI Tackles the Trust Gap in B2B Marketing Analytics

Dreamdata has launched Dreamdata AI, a three-product suite featuring an Analytics Agent, MCP Server, and Data Warehouse built on a governed semantic layer. The platform targets a core failure mode in AI-driven marketing analytics: inconsistent, unverifiable outputs that erode confidence in budget allocation decisions. The architecture positions Dreamdata as ambient GTM intelligence inside LLM workflows rather than a standalone application.

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Liveops LiveNexus Agent Assist: Real-Time AI for Contact Centers

Liveops LiveNexus Agent Assist: Real-Time AI for Contact Centers

Liveops has launched LiveNexus Agent Assist, a browser-based AI overlay that delivers real-time coaching, compliance controls, and workflow automation to contact center agents without replacing existing platforms. The product targets enterprise CX organizations looking to operationalize AI across heterogeneous technology environments. ECI Research data on compliance friction and integration ease helps explain why the overlay approach is gaining traction.

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Dalet IBC2026: Agentic AI With Built-In Media Governance

Dalet IBC2026: Agentic AI With Built-In Media Governance

Dalet is using IBC2026 to announce agentic AI expansions across Dalet Flex, Dalet Pyramid, and its Dalia platform, with governance and identity controls at the center of the story. The positioning reflects a broader enterprise reality: AI adoption in regulated environments stalls without credible governance architecture. ECI Research data shows why this approach resonates with technology buyers prioritizing integration velocity and compliance confidence.

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Wordly AI Translation at ASAE 2026: What It Means for Events

Wordly AI Translation at ASAE 2026: What It Means for Events

Wordly deployed live AI multilingual translation across all Learning Labs at the 2026 ASAE Annual Meeting, serving more than 5,500 attendees via QR-code access with no app required. The deployment signals a shift from accessibility as an event amenity to accessibility as scalable infrastructure. ECI Research examines what it means for association and enterprise event buyers.

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Kiro Cloud Sessions: Agentic AI Coding Without the Laptop Lock-In

Kiro Cloud Sessions: Agentic AI Coding Without the Laptop Lock-In

Amazon’s Kiro IDE now runs AI coding agents in a persistent cloud sandbox, freeing developers from machine-dependent workflows. The feature raises important questions about cloud cost governance and competitive positioning against GitHub Copilot and Cursor. ECI Research data shows enterprise demand for self-service developer experiences is high — and Kiro is betting its agent model can deliver.

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The Resolution Gap: Why AI CX Needs Better Human Escalation

The Resolution Gap: Why AI CX Needs Better Human Escalation

The Liveops 2026 Resolution Gap Report finds that customers accept AI for simple tasks but expect fast, context-aware escalation to humans when automation fails. Only 10% say handoffs are always smooth, and just 55% of issues are resolved on the first attempt. ECI Research analysis examines what this means for CX technology buyers and the developers building the next generation of service orchestration platforms.

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TransFi JARVIS: AI Compliance Platform for Cross-Border Payments

TransFi JARVIS: AI Compliance Platform for Cross-Border Payments

TransFi has launched JARVIS, a proprietary AI compliance intelligence platform that unifies customer risk data across its cross-border payments infrastructure. The platform combines KYC, sanctions screening, and blockchain transaction monitoring under a single risk-profile model with human-in-the-loop decision authority. ECI Research analyzes what this means for fintech compliance strategy and competitive positioning.

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Why AI Management Skills Are Your Real ROI Gap | ECI Research

Why AI Management Skills Are Your Real ROI Gap | ECI Research

Matt Gjertsen, founder of BUILT and former SpaceX training lead, argues in his new book that AI underperformance is a management problem, not a technology problem. Every employee who interacts with AI tools must develop the skills to direct, evaluate, and course-correct AI outputs. ECI Research data on AI tool adoption and security risk exposure supports the urgency of that argument.

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