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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The $3.5B Imposter Scam Crisis: A Data Governance Wake-Up Call
Application Development, Compliance, Enterprise IT Strategy, Security

The $3.5B Imposter Scam Crisis: A Data Governance Wake-Up Call

The FTC reports Americans lost $3.5 billion to imposter scams in 2025, nearly triple 2020 losses. ECI Research analyst take: the crisis traces back to enterprise... Read more.
CloudZero Bets on AI Spend ROI as CFOs Demand Proof
AI, Application Development, Cloud, FinOps

CloudZero Bets on AI Spend ROI as CFOs Demand Proof

CloudZero has rebranded as the AI ROI Company, expanding its cloud cost allocation engine to connect AI token spend, agent workflows, and model costs to business... Read more.
AWS NY Summit 2026: AI Infrastructure, Quantum & PQC Security
AI, Application Development, AWS Summit 2026, Events, Infrastructure, Machine Learning, Security

AWS NY Summit 2026: AI Infrastructure, Quantum & PQC Security

AWS used its 2026 New York Summit to outline a full-stack AI and security infrastructure strategy spanning Graviton5 for agentic workloads, a fault-tolerant quantum... Read more.
Agentic AI Is Reshaping the SDLC: AWS Summit 2026
AI, Application Development, AWS Summit 2026, Cloud, Events, Machine Learning

Agentic AI Is Reshaping the SDLC: AWS Summit 2026

At AWS New York Summit 2026, three enterprise customers demonstrated how AI tools including Kiro, Transform, and Bedrock Agent Core are compressing time across every... Read more.
AWS Agent Core: Building the Agentic AI Governance Layer
AI, Application Development, AWS Summit 2026, Cloud, Enterprise IT Strategy, Events, Infrastructure

AWS Agent Core: Building the Agentic AI Governance Layer

AWS advanced Agent Core at its New York Summit with a policy gateway, portable workload identity, and context graph snapshotting designed to make agentic AI governable... Read more.
AWS Agentic AI Platform: Bedrock Agent Core, Q, and More
AI, Application Development, AWS Summit 2026, Cloud, Enterprise Software, Events, Infrastructure, Machine Learning

AWS Agentic AI Platform: Bedrock Agent Core, Q, and More

AWS announced a sweeping set of agentic AI capabilities at its New York event, including the general availability of Bedrock Agent Core Harness, a new managed knowledge... Read more.
AI Influencer Detection: How to Tell If a Creator Is Real
AI, Application Development, Automation

AI Influencer Detection: How to Tell If a Creator Is Real

Generative AI has made synthetic social media influencers nearly indistinguishable from real people. ECI Research analyzes the brand safety implications, the disclosure... Read more.
Contact Center AI: Why Deployment Isn't Delivering Results
AI, Application Development, Automation

Contact Center AI: Why Deployment Isn’t Delivering Results

ReflexAI's 2026 survey of 109 contact center leaders finds that AI tools are nearly universal but rarely effective. The root cause isn't technology — it's the... Read more.
AWS Agentic AI Platform Shifts from Generation to Delivery | ECI Research
AI, Application Development, AWS Summit 2026, Cloud, Enterprise IT Strategy, Events

AWS Agentic AI Platform Shifts from Generation to Delivery

AWS has unveiled a broad expansion of its AI platform, introducing continuous security remediation, autonomous background agents, and a unified data layer called... Read more.
Omnigent: Databricks Open Sources an AI Agent Meta-Harness
AI, Application Development, Cloud, DevOps, Machine Learning

Omnigent: Databricks Open Sources an AI Agent Meta-Harness

Databricks has released Omnigent, an open source meta-harness that sits above existing AI agent frameworks to enable composition, governance, and real-time collaboration... Read more.