Newt Global at AIOUG – Multicloud AI World 2026: Driving GenAI, Autonomous Cloud, and AI-Led Cloud & Data Modernization in Hyderabad & Bangalore

Newt Global was proud to be a key participant at AIOUG – Multicloud AI World 2026, held in Hyderabad and Bangalore, one of India’s premier technology conferences focused on multicloud strategy, cloud migration, data migration, GenAI, and AI-led modernization.

The 2026 edition marked a pivotal industry shift—from basic cloud adoption to intelligent, autonomous enterprise operations—and Newt Global was at the forefront of this next phase of cloud and data transformation.

2026 Edition Highlights: From Multicloud Strategy to Autonomous Enterprise Operations

The AIOUG – Multicloud AI World 2026 agenda strongly emphasized what lies ahead for enterprises as cloud platforms, data estates, and AI technologies converge. Across both Hyderabad and Bangalore, Newt Global aligned its presence around future-ready cloud and data modernization, helping organizations move beyond migration to autonomous, AI-driven operations.

A defining highlight of Multicloud AI World 2026 was the industry’s growing focus on platform-led, AI-driven cloud and data transformation, with DMAP AI emerging as a central point of interest.

DMAP AI, Newt Global’s enterprise modernization platform, demonstrates how AI, GenAI, automation, and intelligent validation can be unified to accelerate cloud migration, data migration, application modernization, and database transformation at scale.

At the event, Newt Global illustrated how DMAP AI enables enterprises to:

• Execute AI-led cloud and data modernization across applications, databases, and infrastructure

• Apply GenAI for intelligent discovery, assessment, and migration planning

• Enable autonomous cloud operations using continuous insights and AI-driven automation

• Align multicloud migration initiatives with long-term digital transformation roadmaps

Thought Leadership at Multicloud AI World 2026: DMAP AI in Focus

One of the standout moments at AIOUG – Multicloud AI World 2026 was the in-depth session on DMAP AI, led by Rakesh Mittal, Co-Founder of Newt Global, and Venkat T, DMAP Product Owner.

The session directly addressed a common enterprise challenge: tool fatigue and fragmented workflows, which frequently derail cloud migration and data modernization programs, leading to ambiguity, rework, and the inevitable “blame game.”

The speakers highlighted that modernization initiatives fail when there is no single source of truth, and demonstrated how DMAP AI replaces multiple disconnected migration and assessment tools with one integrated, proof-driven platform that prioritizes accuracy, validation, and predictable outcomes.

The Four Pillars of Data Estate and Database Modernization with DMAP AI

The session explored four critical pillars that form the foundation of successful cloud and data migration programs:

Heterogeneous Migrations

Scalable, validated migrations from Oracle and SQL Server to PostgreSQL, supporting large-scale database modernization and cloud-native adoption.

Seamless Upgrades

Disruption-free Oracle-to-Oracle platform upgrades that reduce downtime while modernizing database platforms and underlying infrastructure.

AI-Driven Refactoring

Use of agentic AI to refactor PL/SQL to Java with deterministic precision, ensuring predictable, auditable results for enterprise applications.

Integrated Motion

A unified approach to modernizing databases, drivers, applications, and cloud platforms as a single coordinated initiative—eliminating fragmented execution.

The session reinforced a clear message: enterprises should not just migrate data, but modernize with confidence. By turning multicloud complexity into a controlled, validated reality, DMAP AI enables organizations to execute AI-led cloud and data modernization with speed, governance, and measurable results.

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Key Cloud and AI Modernization Themes from the Even

Key themes highlighted across discussions included:

• AI-enabled application and database modernization

• Intelligent automation for cloud operations and migrations

• Security, governance, and compliance in multicloud environments

• Aligning cloud migration and AI initiatives with business outcomes

These conversations resonated strongly with industry leaders seeking practical, proven cloud and data migration solutions, rather than experimental or theoretical approaches.

Engaging the 2026 Multicloud & AI Community

The 2026 edition of AIOUG – Multicloud AI World attracted a highly engaged audience of CIOs, cloud architects, data leaders, and AI practitioners. In Hyderabad and Bangalore, Newt Global teams held deep discussions around:

• Enterprise AI and GenAI readiness

• Data migration and modernization as a foundation for AI success

• Governance, security, and compliance in multicloud architectures

• Building operating models for autonomous and self-healing cloud platforms

These interactions reinforced a clear industry shift: enterprises are increasingly seeking end-to-end cloud and data modernization platforms and partners who can guide them from strategy through execution.

Reinforcing Newt Global’s Commitment to Cloud & Data Transformation

Newt Global’s participation reaffirmed its commitment to:

• Enabling enterprises on their cloud migration, data migration, and AI journeys

• Delivering scalable, secure, and intelligent modernization solutions

• Actively contributing to the evolving cloud and AI ecosystem

As multicloud, data platforms, and AI continue to converge, Newt Global remains focused on helping organizations transform with confidence, clarity, and speed.

Looking Ahead: Newt Global’s Roadmap Beyond 2026

Newt Global’s presence at AIOUG – Multicloud AI World 2026 underscored its long-term vision for AI-powered, autonomous enterprise transformation. With DMAP AI at the core, Newt Global is focused on helping organizations:

• Operationalize GenAI across cloud, data, and application landscapes

• Achieve higher levels of automation and autonomy in IT operations

• Continuously optimize performance, cost, and resilience across multicloud environments

As enterprises look beyond 2026, Newt Global remains committed to enabling intelligent, scalable, and future-proof cloud and data modernization.

 Enterprise Cloud Migration Strategy & Services That Deliver Results

Frequently Asked Questions (FAQs)

What is AIOUG – Multicloud AI World 2026?

AIOUG – Multicloud AI World 2026 is a premier technology conference in India focused on multicloud strategies, cloud migration, data modernization, GenAI, and AI-led enterprise transformation. The event brings together CIOs, cloud architects, data leaders, and AI practitioners to discuss real-world modernization challenges and solutions.

What was Newt Global’s role at AIOUG – Multicloud AI World 2026?

Newt Global was a key participant at the Hyderabad and Bangalore editions of the event, showcasing its expertise in cloud and data migration, AI-led modernization, and autonomous cloud operations. Newt Global also delivered a thought leadership session highlighting its DMAP AI platform.

What is DMAP AI?

DMAP AI is Newt Global’s enterprise modernization platform that unifies cloud migration, data migration, application modernization, refactoring, and validation into a single, integrated solution. It leverages AI, GenAI, and automation to deliver predictable, enterprise-scale transformation outcomes.

How does DMAP AI support cloud and data migration?

DMAP AI supports end-to-end cloud and data migration by providing intelligent discovery, automated assessments, migration execution, refactoring, and built-in validation. This ensures accuracy, governance, and reduced risk across multicloud environments.

What types of database migrations does DMAP AI enable?

DMAP AI enables multiple modernization scenarios, including:

• Oracle and SQL Server to PostgreSQL migrations

• Oracle-to-Oracle platform upgrades

• AI-driven refactoring of PL/SQL to Java
  These capabilities support large-scale database modernization and cloud-native adoption.

How does DMAP AI address tool fatigue and fragmented workflows?

Many modernization programs fail due to reliance on multiple disconnected tools. DMAP AI replaces this fragmentation with a single source of truth, integrating assessment, migration, refactoring, and validation into one platform—eliminating ambiguity and reducing rework.

What is meant by “AI-led modernization”?

AI-led modernization refers to using AI and GenAI to drive intelligent decision-making across cloud and data transformation initiatives. With DMAP AI, AI is embedded throughout the lifecycle to improve accuracy, automate execution, and accelerate time-to-value.

How does DMAP AI enable autonomous cloud operations?

DMAP AI enables autonomous cloud operations through continuous insights, AI-driven automation, and integrated workflows. This allows enterprises to build self-optimizing, resilient, and scalable multicloud environments.

Who should consider using DMAP AI?

DMAP AI is designed for mid-to-large enterprises undertaking complex cloud migration, data modernization, and AI-led transformation initiatives—especially those operating across hybrid or multicloud environments.

Why is validation critical in cloud and data modernization?

Validation ensures that migrations and refactoring deliver accurate, auditable, and predictable outcomes. DMAP AI prioritizes validation at every stage, helping enterprises modernize with confidence and governance, rather than uncertainty.