agentic AI

MinIO MemKV: Purpose-Built AI Inference Cache Storage

MinIO MemKV: Purpose-Built AI Inference Cache Storage

AI, Application Development, Data Management, Enterprise IT Strategy /

MinIO has launched MemKV, a purpose-built KV cache storage product targeting NVIDIA’s G3.5 memory tier via NVMe/RDMA. The product promises a 75x improvement in inference time-to-first-token and up to $2M in annual GPU efficiency savings for a typical enterprise deployment. ECI Research examines the business case, technical architecture, and what buyers need to validate before committing.

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Acquia Source Bets on Agentic Content Governance | ECI Research

Acquia Source Bets on Agentic Content Governance | ECI Research

AI, AI Governance, Application Development, Enterprise Software /

Acquia has relaunched Acquia Source as a unified digital command center with embedded AI agent capabilities and a Human-in-the-Loop governance model. The announcement targets enterprise marketing and technical teams navigating the shift to AI-generated content discovery. ECI Research examines the competitive positioning, governance architecture, and what buyers should evaluate before committing.

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Yugabyte Meko: Agent-Native Data Infrastructure for Multi-Agent AI

Yugabyte Meko: Agent-Native Data Infrastructure for Multi-Agent AI

AI, AI Governance, Application Development, Data Management, Infrastructure /

Yugabyte has launched Meko, a purpose-built data infrastructure for multi-agent AI systems that consolidates memory, knowledge, conversation history, and observability into a single platform. ECI Research analysts examine the real problem Meko is solving, what it means for IT decision-makers in regulated industries, and how developers should evaluate its MCP-based architecture. The analysis weighs Meko’s competitive positioning against cloud-provider alternatives and assesses its viability as a new enterprise procurement category.

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Twilio Signal 2026: Building Agentic Communication Infrastructure

Twilio Signal 2026: Building Agentic Communication Infrastructure

AI, Application Development, DevOps, Enterprise Software, Events, Twilio Signal 2026 /

Twilio announced its largest product release at Signal 2026, introducing three new platform capabilities designed to unify customer conversations across channels and enable AI-to-human handoffs in real time. The launch includes Conversation Orchestrator, Conversation Memory, and Conversation Intelligence, plus Agent Connect for plugging third-party AI agents into Twilio’s infrastructure. ECI Research analyzes the competitive implications and what enterprise IT leaders and developers should prioritize next.

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Twilio SIGNAL 2026: Unified Customer Engagement at Scale

Twilio SIGNAL 2026: Unified Customer Engagement at Scale

AI, Application Development, Customer Experience, DevOps, Events, Twilio Signal 2026 /

At SIGNAL 2025, Twilio showcased five enterprise customers and announced three new products aimed at unifying multi-channel customer interactions. ECI Research examines the architectural shift toward converged CDP, AI orchestration, and communications infrastructure, and what it means for enterprise buyers and developers evaluating platform consolidation strategies.

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Twilio Conversations: Analyst Take on the Agent Infrastructure Play

Twilio Conversations: Analyst Take on the Agent Infrastructure Play

AI, Application Development, DevOps, Enterprise Software, Twilio Signal 2026 /

Twilio announced Conversations, a new platform layer comprising four products: Conversation Orchestrator, Memory, Intelligence, and Agent Connect. The suite targets the fragmentation problem that stalls conversational AI deployments at production scale. ECI Research analysts examine who wins, what it means for developers and ITDMs, and where the roadmap goes next.

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Cyberhaven Targets Shadow Agents With Agentic AI Security Platform

Cyberhaven Targets Shadow Agents With Agentic AI Security Platform

AI, Application Development, Enterprise IT Strategy, Security /

Cyberhaven has expanded its Unified AI & Data Security Platform to govern autonomous AI agents running outside enterprise visibility. The announcement introduces agentic agent discovery, data lineage-based observability, and runtime policy controls. ECI Research examines the security and business implications for enterprise IT and development teams.

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HPE Self-Driving Networks: Agentic AIOps Arrives at Scale

HPE Self-Driving Networks: Agentic AIOps Arrives at Scale

AI, Application Development, Enterprise IT Strategy, Networking /

HPE has announced production-grade autonomous networking capabilities across its HPE Mist and HPE Aruba Central platforms, claiming the industry’s first fully agentic AIOps networking architecture. New self-driving actions cover capacity optimization, security remediation, and roaming management without human intervention. ECI Research examines the business case, competitive dynamics, and what IT leaders should do next.

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ServiceNow Knowledge 2026: The Agentic AI Governance Play

ServiceNow Knowledge 2026: The Agentic AI Governance Play

AI, Application Development, Enterprise Software, Platform Engineering /

ServiceNow’s Knowledge 2026 Day 2 announcements center on a single thesis: agentic AI is only as reliable as the governance infrastructure beneath it. From Build Agent’s IDE extensions to AI Control Tower’s AWS integration, ServiceNow is positioning itself as the platform where enterprise AI gets governed, not just built. ECI Research analysts break down what matters for IT decision-makers and developers.

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Airbyte Agents: Context Infrastructure for Production AI Agents

Airbyte Agents: Context Infrastructure for Production AI Agents

AI, Application Development, Data Analytics, Enterprise Software /

Airbyte has launched Airbyte Agents, a context infrastructure layer that pre-replicates enterprise data into a unified, search-optimized index before AI agents run. The product targets the data reliability failures behind most agent production breakdowns, not model quality. ECI Research analyzes what this means for enterprise AI buyers and engineering teams building on MCP and custom SDKs.

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