Paul Nashawaty

Author: Paul Nashawaty

Author

  • Paul Nashawaty

    Paul Nashawaty, Practice Leader and Lead Principal Analyst, specializes in application modernization across build, release and operations. With a wealth of expertise in digital transformation initiatives spanning front-end and back-end systems, he also possesses comprehensive knowledge of the underlying infrastructure ecosystem crucial for supporting modernization endeavors. With over 25 years of experience, Paul has a proven track record in implementing effective go-to-market strategies, including the identification of new market channels, the growth and cultivation of partner ecosystems, and the successful execution of strategic plans resulting in positive business outcomes for his clients.

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Simform Completes Microsoft AI Partner Trifecta: What It Means
AI, Cloud, Enterprise Software

Simform Completes Microsoft AI Partner Trifecta: What It Means

Simform has completed coverage across all Microsoft AI Cloud solution areas, becoming one of fewer than 50 global firms to hold Azure Expert MSP status and all three... Read more.
GitLab 19.4: Governed Agentic Automation at Scale
Application Development, DevSecOps, Platform Engineering

GitLab 19.4: Governed Agentic Automation at Scale

GitLab 19.4 introduces the /goal command, open weight AI models, and expanded MCP server tools to scale agentic automation across engineering organizations. The... Read more.
LittleHorse Saddle 1.3: Business-as-Code for AI Workflow Orchestration
AI, Enterprise Software, Machine Learning

LittleHorse Saddle 1.3: Business-as-Code for AI Workflow Orchestration

LittleHorse has released Saddle Command Center 1.3, a platform that uses a Business-as-Code paradigm to orchestrate AI agents and microservices within governed,... Read more.
Enterprise AI Knowledge Capture: The Step Most Orgs Skip
Digital Transformation, Technology

Enterprise AI Knowledge Capture: The Step Most Orgs Skip

Meta's "organizational second brain" concept highlights a foundational gap in enterprise AI strategy: most critical organizational knowledge has never been documented.... Read more.
Microsoft AI Code of Conduct: What MAI Models Mean for Enterprise Buyers
AI, Enterprise Software, Government Technology, Machine Learning

Microsoft AI Code of Conduct: What MAI Models Mean for Enterprise Buyers

Microsoft has published a draft AI Code of Conduct for its MAI Models, introducing a "Humanist AI" philosophy that explicitly rejects AI personhood and centers human... Read more.
Acceldata xFactory: Federated AI Data Governance at Scale
AI, Data Management, Enterprise Software, Machine Learning

Acceldata xFactory: Federated AI Data Governance at Scale

Acceldata has launched xFactory, a private AI software factory that lets enterprises build and deploy AI agents on federated data without moving it. The platform... Read more.
Agentic AI Failure Modes: What Government Tech Buyers Must Know
AI, Government Technology

Agentic AI Failure Modes: What Government Tech Buyers Must Know

AI agents that perform well in demos routinely degrade in production. ECI Research analyst commentary examines the real-world failure modes of agentic AI, from context... Read more.
Where AI Automation Requires Human Oversight | ECI Research
Governance, Technology

Where AI Automation Requires Human Oversight | ECI Research

AI is embedded in workflows across industries, but deployment speed is outpacing governance. ECI Research examines four high-risk automation categories where human... Read more.
AI Model Churn Is Now a Core Enterprise Architecture Risk
Cloud, Infrastructure

AI Model Churn Is Now a Core Enterprise Architecture Risk

MariaDB CPO Vikas Mathur argues that model churn is a permanent feature of the AI market, and enterprises that hard-code infrastructure around today's leading model... Read more.
Komodor Agentic Operations Platform: Analyst Take | ECI Research
AI, Automation, DevOps, Platform Engineering

Komodor Agentic Operations Platform: Analyst Take | ECI Research

Komodor has launched the Komodor Agentic Operations Platform, combining pre-built autonomous workflows with a shared governance backbone for custom agents. ECI Research... Read more.