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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Digital.ai and knowmad mood Expand Global Secure Software Delivery Partnership
Application Development, DevOps, Enterprise Software, Platform Engineering

Digital.ai and knowmad mood Expand Global Secure Software Delivery Partnership

Digital.ai and knowmad mood have announced an expanded global partnership covering the full Digital.ai product portfolio across four major international markets.... Read more.
Wordly AI Translation at ASAE 2026: What It Means for Events
AI, Application Development, Automation, Enterprise Software

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... Read more.
Google Cloud Gemini Enterprise: Vertical AI for Finance & Legal
Application Development, Cloud, Infrastructure

Google Cloud Gemini Enterprise: Vertical AI for Finance & Legal

Google Cloud has announced Gemini Enterprise for Financial Services and Gemini Enterprise for Legal, purpose-built AI solutions with domain-specific agents, secure... Read more.
EU AI Act Compliance: Why Vendor Claims Aren't Enough
AI, AI Governance, Application Development, Compliance, Enterprise Software

EU AI Act Compliance: Why Vendor Claims Aren’t Enough

The EU AI Act creates distinct obligations for AI providers and deployers, and enterprises acting as deployers cannot rely on vendor compliance certifications to... Read more.
Google Antigravity Enters Enterprise: Governance Seals the Deal
AI, Application Development, Cloud, Enterprise Software

Google Antigravity Enters Enterprise: Governance Seals the Deal

Google has expanded its Antigravity agentic coding platform into Gemini Enterprise subscriptions, adding pooled token quotas, granular spend controls, and IDE extensions... Read more.
Enterprise AI Governance: The Operating Model AI Agents Need
Application Development, Data Analytics, Platform Engineering

Enterprise AI Governance: The Operating Model AI Agents Need

Artefact and Starburst have published a blueprint arguing that conversational AI agents fail at enterprise scale not because of model limitations, but because of... Read more.
Enterprise AI ROI: Why Proof of Value Is Now Non-Negotiable
AI, Application Development, Cloud, Enterprise IT Strategy

Enterprise AI ROI: Why Proof of Value Is Now Non-Negotiable

Enterprise AI adoption has entered a new phase defined by ROI accountability. As early initiatives fail to deliver expected returns, buyers are demanding verifiable... Read more.
Upbound V3: One API and Governance Model for Cloud and AI Infra
Application Development, Cloud, Enterprise Software, Infrastructure, Platform Engineering

Upbound V3: One API and Governance Model for Cloud and AI Infra

Upbound has released V3 of its infrastructure platform, introducing a unified API, fleet-wide visibility, and a governance model that applies equally to human engineers... Read more.