News

New release helps organisations accelerate AI adoption, strengthen GRC workflows and simplify governance at scale.

IBM has introduced OpenPages 9.2.1, marking an important step in the evolution of AI-powered governance, risk and compliance (GRC). Announced on 23 July 2026, the release builds on the AI foundation established in OpenPages 9.2 and focuses on three enterprise priorities: accelerating AI adoption, improving everyday governance work and simplifying administration at scale.

As enterprises move artificial intelligence from experimentation into production, governance teams must oversee more documentation, complex risk relationships, regulatory changes and AI-driven processes. Traditional, labour-intensive approaches can create bottlenecks precisely when organisations need faster, better-informed decisions.

OpenPages 9.2.1 addresses this challenge with eight predefined AI model configurations covering common GRC use cases. These include issue similarity detection, audit-plan creation, Basel classification, vendor analysis, document summarisation, personally identifiable information detection and questionnaire-response generation. Organisations can activate and customise these capabilities without extensive coding or prompt engineering, helping shorten the path from AI exploration to operational use.

The release also advances the growing trend towards agentic AI in enterprise governance. A fully managed, cloud-native OpenPages Model Context Protocol server is now available to SaaS customers on AWS and IBM Cloud. Combined with expanded REST APIs, this infrastructure enables AI agents to interact securely with governed GRC data and use richer information about objects and relationships.

Another significant enhancement is multi-file AI analysis. Users can analyse policies, reports, evidence and supporting documents together within a single interaction. AI-assisted questionnaires can generate initial answers from existing information and uploaded documents, while retaining human review and approval. This combination of automation and oversight is critical for organisations seeking greater productivity without weakening accountability.

OpenPages 9.2.1 also introduces enhanced GRC Canvas capabilities, dashboard heatmaps, workflow-copy features, tag-based reporting and improved configuration packaging. Version comparison, dependency validation and packaging automation can help administrators move configurations between environments more confidently and reduce deployment risk.

Turning IBM Innovation into Business Outcomes with Prolifics

As a long-standing IBM Platinum Business Partner, IBM Partner Plus participant and original watsonx beta partner, Prolifics helps enterprises translate IBM innovation into secure, governed and scalable business solutions.

The IBM and Prolifics partnership combines IBM’s platforms across AI, automation, integration and hybrid cloud with Prolifics’ strategy, engineering, governance and implementation expertise. Prolifics can help organisations assess GRC maturity, design an OpenPages roadmap, integrate governed data and workflows, deploy AI capabilities responsibly and support continued optimisation.

For enterprises, the opportunity is clear: governance must evolve at the same speed as AI. IBM OpenPages 9.2.1 provides the technology foundation, while Prolifics helps turn that foundation into controlled, measurable enterprise value.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

Ready to scale AI-powered governance with confidence? Connect with a Prolifics IBM expert.

Frequently Asked Questions

Microsoft has officially announced the general availability of Copilot Cowork, its latest AI-powered workplace assistant designed to move beyond simple chat interactions and actively execute business tasks across Microsoft 365 environments. This marks a significant leap toward autonomous workplace productivity, enabling organizations to automate complex, multi-step workflows while maintaining enterprise-grade security and governance.

What Is Microsoft Copilot Cowork?

Unlike traditional AI assistants that generate content or answer questions, Copilot Cowork functions as a digital teammate capable of handling tasks such as:

• Creating Word, Excel, and PowerPoint documents
• Scheduling meetings and managing calendars
• Sending Outlook emails
• Posting updates in Microsoft Teams
• Conducting research across organizational data
• Managing long-running workflows across multiple applications

The platform operates within Microsoft’s secure Microsoft 365 ecosystem and leverages enterprise permissions, governance controls, and compliance frameworks already in place.

Microsoft reports that more than half of Fortune 500 organizations have already experimented with Copilot Cowork during its preview phase, highlighting the growing demand for agentic AI solutions in the enterprise.

How Much Does Microsoft Copilot Cowork Cost?

Copilot Cowork requires a Microsoft 365 Copilot subscription and introduces a usage-based pricing model through Copilot Credits. Organizations are charged based on the complexity and volume of tasks executed, allowing businesses to scale AI adoption according to their needs. Microsoft also claims that Copilot Cowork can be 30-40% more cost-effective than comparable solutions in certain enterprise scenarios.

Why Microsoft Copilot Cowork Matters for Enterprise Productivity

The launch of Copilot Cowork signals a shift from AI-assisted productivity to AI-driven execution. Organizations that successfully integrate AI agents into their operations stand to gain:

• Faster decision-making
• Increased employee productivity
• Reduced manual workload
• Improved process automation
• Enhanced operational efficiency

However, achieving these outcomes requires more than simply deploying AI tools. Businesses must modernize their data infrastructure, establish governance frameworks, optimize integrations, and ensure secure AI adoption across the enterprise.

How Prolifics Helps Organizations Maximize Microsoft AI Investments

As a trusted digital transformation and AI solutions partner, Prolifics helps organizations unlock the full potential of Microsoft’s AI ecosystem through:

• Microsoft 365 Copilot readiness assessments
• AI governance and compliance frameworks
• Data modernization and integration services
• Intelligent automation strategies
• Enterprise AI implementation and optimization
• Cloud migration and modernization initiatives

Whether you’re evaluating Copilot, building AI-powered workflows, or scaling enterprise automation, Prolifics provides the expertise needed to accelerate adoption while minimizing risk.

The future of work is rapidly evolving from AI assistance to AI collaboration. Organizations that prepare today will be best positioned to lead tomorrow.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

FAQs

Organizations today expect instant access to data for AI, business intelligence, customer applications, and operational decision-making. However, delivering real-time performance has traditionally required multiple serving databases, duplicated datasets, and complex data pipelines that increase both cost and operational overhead.

Databricks is changing that paradigm with the introduction of Lakehouse//RT, a next-generation real-time data warehouse that delivers millisecond query performance directly on unified lakehouse data. Powered by the new Reyden engine, Lakehouse//RT enables enterprises to support operational analytics, application serving, observability, and AI workloads without moving data into separate systems.

This innovation represents another significant milestone in Databricks’ vision of creating a single platform where analytics, AI, governance, and operational workloads coexist on one trusted source of data.

Why Traditional Real-Time Analytics Falls Short

Many organizations still rely on separate serving databases or specialized query engines to achieve low-latency analytics. While these architectures deliver fast response times, they often introduce additional complexity.

Common challenges include:

• Multiple copies of the same data
• Complex ETL and synchronization pipelines
• Increased infrastructure and licensing costs
• Governance inconsistencies across platforms
• Higher maintenance overhead for IT teams

These fragmented environments also make it difficult to scale AI applications that depend on fresh, trusted enterprise data.

Introducing Lakehouse//RT

Lakehouse//RT brings real-time responsiveness directly into the Databricks Lakehouse.

Instead of copying data into another database for application serving, organizations can query governed Delta Lake and Apache Iceberg tables directly with millisecond performance. The platform is designed to support high-concurrency workloads while maintaining a unified architecture across analytics, AI, and operational applications.

Key capabilities include:

• Millisecond query performance directly on lakehouse data
• High concurrency for thousands of users and AI agents
• No separate serving infrastructure
• Native integration with Unity Catalog governance
• Support for Delta Lake and Apache Iceberg open table formats
• Simplified architecture with reduced operational complexity

Powered by the Reyden Engine

At the heart of Lakehouse//RT is Reyden, Databricks’ new query engine purpose-built for real-time workloads.

Reyden is engineered to provide ultra-low latency while efficiently handling large numbers of concurrent requests. This makes it well suited for applications that require immediate responses, including:

• Customer-facing applications
• Interactive dashboards
• AI copilots
• Operational monitoring
• Fraud detection
• Real-time recommendation systems

By eliminating the need for separate serving layers, organizations can reduce infrastructure complexity while improving performance and scalability.

Unified Governance Remains Intact

One of the biggest advantages of Lakehouse//RT is that real-time workloads continue to operate under Unity Catalog.

This means organizations maintain:

• Centralized access control
• Consistent data governance
• Unified metadata management
• End-to-end lineage
• Enterprise security policies

Rather than managing governance separately across multiple systems, enterprises gain a single trusted platform for both analytical and operational workloads.

What This Means for Enterprise AI

As enterprises build more AI-powered applications, access to fresh operational data becomes increasingly important.

Lakehouse//RT enables organizations to power AI agents, intelligent applications, and real-time decision engines directly from governed enterprise data without introducing duplicate databases or synchronization delays.

The result is:

• Faster AI responses
• Lower infrastructure costs
• Simplified data architecture
• Better governance
• Improved scalability

For organizations pursuing modern data strategies, Lakehouse//RT represents a significant step toward unified analytics, AI, and operational intelligence on a single platform.

How Prolifics Helps Organizations Modernize Their Data Platforms

As enterprises continue modernizing their data estates, technology alone is not enough. Success depends on building an architecture that balances performance, governance, scalability, and AI readiness.

Prolifics helps organizations accelerate their data modernization journey by delivering:

• Modern lakehouse architecture assessments
• Databricks platform implementation and optimization
• Data engineering and migration services
• AI and analytics modernization
• Unity Catalog governance implementation
• Enterprise data strategy and modernization consulting

Whether organizations are modernizing legacy data warehouses or building AI-ready data platforms, Prolifics helps unlock the full value of the Databricks Data Intelligence Platform.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

Frequently Asked Questions

As enterprises race to move beyond AI experimentation and into measurable business outcomes, Snowflake has unveiled a new generation of capabilities designed to help organizations build, deploy, and govern Agentic AI systems at scale. The announcement marks a significant step toward making AI agents more accessible, secure, and business-ready for enterprises worldwide.

With Agentic AI rapidly emerging as the next evolution of enterprise intelligence, organizations need trusted partners that can transform complex AI ambitions into scalable business solutions. This is where the powerful partnership between Prolifics and Snowflake delivers exceptional value.

Snowflake’s Latest Agentic AI Innovations

Snowflake’s newly announced capabilities focus on helping organizations develop AI agents that can automate workflows, support decision-making, and interact intelligently with enterprise data. The platform enhancements emphasize governance, interoperability, security, and trusted data access, critical factors for enterprise AI success.

The company’s vision centers on enabling organizations to connect enterprise systems, data sources, and AI models within a unified ecosystem. Innovations such as Snowflake Intelligence, Cortex Agents, and expanded AI development capabilities are designed to simplify how businesses operationalize AI while maintaining governance and compliance standards.

Why the Prolifics-Snowflake Partnership Matters

While technology platforms provide the foundation, successful AI adoption requires strategic expertise, industry knowledge, and proven implementation frameworks.

As a trusted Snowflake partner, Prolifics helps organizations unlock the full potential of Snowflake’s AI Data Cloud by accelerating data modernization, cloud transformation, AI strategy, and enterprise-scale AI implementation.

Together, Prolifics and Snowflake enable organizations to:

• Build AI-ready data foundations
• Accelerate Agentic AI deployment
• Improve governance and compliance
• Modernize legacy data ecosystems
• Enhance business intelligence and decision-making
• Scale AI initiatives securely across the enterprise

By combining Snowflake’s advanced AI platform capabilities with Prolifics’ deep expertise in Data, AI, Cloud, Integration, and Automation, enterprises can move from AI pilots to production-ready solutions faster and with lower risk.

Driving Business Outcomes with Agentic AI

Agentic AI is transforming how businesses operate by enabling intelligent systems to perform tasks, automate processes, and generate actionable insights with minimal human intervention. Snowflake’s latest innovations make these capabilities more accessible, while Prolifics ensures organizations can align AI initiatives with business objectives and measurable ROI.

Whether organizations are looking to improve customer experiences, optimize operations, automate workflows, or enhance analytics, the Prolifics-Snowflake partnership provides the expertise and technology needed to achieve success.

Ready to Build Your AI-Powered Enterprise?

The future belongs to organizations that can transform trusted data into intelligent action. With Snowflake’s cutting-edge Agentic AI capabilities and Prolifics’ proven implementation expertise, businesses can confidently accelerate their AI journey and unlock new opportunities for innovation and growth.

Contact Prolifics today to discover how our Snowflake-powered solutions can help you build, deploy, and scale enterprise AI faster.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

FAQs

Microsoft has officially announced the general availability (GA) of the Azure Copilot Observability Agent, marking a significant milestone in the evolution of AI-powered cloud operations. Built on Azure Monitor, the new AI-driven capability helps IT operations, Site Reliability Engineering (SRE), DevOps, and cloud engineering teams investigate incidents faster by intelligently analyzing telemetry, correlating operational signals, and recommending next steps.

As enterprise environments become increasingly distributed and AI-powered applications continue to grow in complexity, traditional monitoring tools are often insufficient for identifying root causes quickly. Microsoft’s latest innovation aims to shift organizations from reactive monitoring to agentic cloud operations, where AI actively assists engineers throughout the troubleshooting lifecycle.

A New Era of Intelligent Observability

Modern cloud applications generate massive volumes of logs, metrics, traces, alerts, and infrastructure signals. While this data is invaluable, manually piecing together the information during an incident can be time-consuming and error-prone.

The Azure Copilot Observability Agent addresses this challenge by using AI to:

• Correlate logs, metrics, traces, alerts, and resource topology
• Investigate incidents using natural language
• Identify likely root causes faster
• Provide explainable reasoning behind recommendations
• Suggest next steps for engineers to review before taking action

Rather than replacing engineers, Microsoft positions the Observability Agent as an intelligent operational companion that accelerates investigation while keeping humans in control of remediation decisions.

Built for Modern Cloud Operations

The Observability Agent integrates directly with Azure Monitor and supports a wide range of Azure resources, including:

• Azure Kubernetes Service (AKS)
• Virtual Machines
• Azure Monitor applications
• Infrastructure resources
• Azure AI Foundry telemetry
• Platform services and dependencies

Using conversational AI, teams can ask questions such as:

• Why did application latency suddenly increase?
• What changed before this incident occurred?
• Which services are affected?
• Are there correlated infrastructure events?

The AI agent analyzes telemetry across the environment and presents evidence-backed insights instead of requiring engineers to manually navigate multiple dashboards.

Agentic Cloud Operations Become Reality

Microsoft believes cloud operations are entering an agentic era, where AI agents not only assist with monitoring but also help prepare investigations, reduce alert fatigue, and streamline operational workflows.

Alongside general availability, Microsoft also announced Autonomous Operations in public preview. These capabilities prepare incident context and reduce manual triage work while ensuring that engineers remain responsible for approving mitigation actions and changes to production environments.

This balanced approach combines AI automation with human oversight, enabling organizations to improve operational efficiency without sacrificing governance or control.

Why This Matters for Enterprises

As organizations modernize applications and embrace AI-driven workloads, operational complexity continues to increase. Intelligent observability is becoming essential for maintaining service reliability, improving customer experiences, and reducing downtime.

For enterprise IT leaders, Azure Copilot Observability Agent offers several strategic benefits:

• Faster incident investigation and resolution
• Reduced alert noise through intelligent correlation
• Improved operational productivity
• Better visibility across hybrid and cloud-native environments
• Enhanced collaboration through explainable AI-driven investigations
• Support for increasingly autonomous AI applications

With AI becoming central to cloud operations, Microsoft’s latest release demonstrates how observability is evolving from passive monitoring into proactive operational intelligence.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

Frequently Asked Questions

IBM has announced a major milestone in semiconductor innovation with the unveiling of what it describes as the world’s first sub-1 nanometer (0.7 nm/7 angstrom) chip technology. The breakthrough represents a significant leap beyond conventional chip scaling and introduces a revolutionary NanoStack 3D transistor architecture, designed to deliver dramatically higher performance while reducing power consumption.

As artificial intelligence models continue to grow in size and complexity, enterprises require increasingly powerful and energy-efficient processors. IBM’s latest research demonstrates that the semiconductor industry can continue advancing even as traditional transistor miniaturization approaches its physical limits. Instead of relying solely on shrinking transistors, IBM has adopted a three-dimensional stacking approach that significantly increases transistor density and computing efficiency.

The new technology packs nearly 100 billion transistors onto a chip roughly the size of a fingernail, almost doubling the density achieved by IBM’s previous 2 nm technology introduced in 2021. According to IBM, the new architecture can deliver up to 50% higher performance or 70% greater energy efficiency compared to its earlier 2 nm design, making it particularly valuable for AI infrastructure, cloud data centers, scientific computing, and next-generation enterprise applications.

Unlike traditional planar transistor scaling, IBM’s NanoStack architecture vertically stacks transistor layers, allowing engineers to optimize each layer independently. This innovative design overcomes many of the physical limitations currently slowing Moore’s Law while opening new possibilities for advanced processor development over the next decade.

Although the technology remains a research breakthrough rather than a commercial product, IBM believes it could become commercially manufacturable within approximately five years through collaborations with semiconductor manufacturing partners. As AI workloads continue to expand across industries, innovations like this are expected to play a critical role in supporting large language models, generative AI platforms, edge computing, autonomous systems, and future quantum-classical hybrid computing environments.

For enterprises, this announcement signals more than a hardware advancement. Faster, denser, and more energy-efficient processors can reduce operational costs, improve sustainability, accelerate AI model training, and enable organizations to deploy increasingly sophisticated AI applications at scale. The breakthrough reinforces IBM’s continued leadership in semiconductor research and highlights how foundational hardware innovation remains essential to unlocking the next generation of enterprise AI capabilities.

Key Highlights

• IBM introduced the world’s first sub-1 nanometer (0.7 nm) semiconductor technology.
• Built using a revolutionary NanoStack 3D transistor architecture.
• Packs nearly 100 billion transistors on a fingernail-sized chip.
• Delivers up to 50% higher performance or 70% greater energy efficiency than IBM’s 2 nm technology.
• Designed to power future AI, cloud computing, HPC, and advanced enterprise workloads.
• Expected to influence semiconductor innovation for the next decade.
• Commercial production could become feasible within approximately five years through manufacturing partners.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

Frequently Asked Questions

The race to enterprise AI just entered a new phase. Databricks has announced the launch of Genie One, a new generation of AI agents designed to help business users across finance, sales, marketing, operations, and customer service make faster, data-driven decisions using enterprise data. This move signals a significant shift from experimental AI initiatives to practical, business-focused AI adoption.

Unlike traditional AI assistants that rely on generic knowledge, Databricks’ new AI agents leverage organizational data, documents, applications, and workflows through its innovative Genie Ontology framework. This enables businesses to gain accurate insights, automate tasks, and create AI-powered workflows that are grounded in trusted enterprise data.

Why This Matters for Enterprises

Many organizations have invested heavily in data modernization and AI initiatives, yet struggle to bridge the gap between data availability and actionable business outcomes. Databricks is addressing this challenge by making AI agents accessible to non-technical users while maintaining governance, security, and scalability.

The introduction of Genie One, Genie Agents, and Agent Bricks enables organizations to:

• Accelerate decision-making with AI-powered insights
• Automate repetitive business processes
• Improve employee productivity
• Build domain-specific AI agents using enterprise data
• Maintain governance and compliance across AI deployments

How the Prolifics–Databricks Partnership Creates Business Value

As a trusted Databricks partner, Prolifics helps organizations unlock the full potential of the Databricks Data Intelligence Platform by combining advanced data engineering, AI strategy, cloud modernization, and enterprise integration expertise.

The latest Databricks AI innovations create tremendous opportunities for organizations looking to operationalize AI at scale. Through the Prolifics–Databricks partnership, enterprises can:

Accelerate AI Agent Development

Prolifics helps organizations identify high-value use cases and rapidly deploy AI agents powered by Databricks Agent Bricks and Genie capabilities.

Build a Trusted Data Foundation

AI is only as good as the data behind it. Prolifics enables businesses to modernize data architectures, establish governance frameworks, and create unified data ecosystems on Databricks.

Drive Enterprise-Wide Automation

From customer service and finance to supply chain and operations, Prolifics helps organizations integrate AI agents into critical workflows to improve efficiency and reduce operational costs.

Ensure Responsible AI Adoption

With expertise in AI governance, security, compliance, and MLOps, Prolifics helps enterprises deploy AI solutions that are scalable, secure, and business-ready.

The Future of Enterprise AI is Agentic

Industry leaders are increasingly moving beyond chatbots toward intelligent AI agents capable of understanding business context, executing tasks, and continuously learning from enterprise data. Databricks’ latest announcements reinforce the growing demand for agentic AI solutions that deliver measurable business outcomes.

Organizations that establish a strong data foundation today will be best positioned to capitalize on the next wave of AI-driven transformation.

Ready to transform your enterprise with Databricks AI solutions? Prolifics helps organizations design, build, and scale AI-powered business solutions that deliver tangible results faster.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

Frequently Asked Questions (FAQs)

Why Enterprises Should Partner with Prolifics to Lead Transformation

Microsoft Build 2026 has set the technology world abuzz with groundbreaking announcements that signal a major shift in the future of enterprise AI. From advanced AI reasoning models and agentic workflows to the unveiling of a unified Copilot “Super App,” Microsoft is doubling down on its vision of making artificial intelligence the central operating layer for modern business. These innovations are expected to redefine how organizations develop software, manage operations, engage customers, and empower employees in an increasingly AI-driven world.

Key Highlights from Microsoft Build 2026

• Copilot Super App: A unified AI platform bringing together GitHub Copilot, Copilot Chat, Copilot Cowork, and autonomous AI capabilities.
• Advanced AI Models: New enterprise-grade reasoning models designed for complex business decision-making.
• Agentic AI Frameworks: Intelligent AI agents capable of planning, executing, and optimizing workflows with minimal human intervention.
• Enhanced Developer Tools: AI-powered coding assistants to accelerate software development and innovation.
• Enterprise Automation: Expanded capabilities for streamlining business processes, improving productivity, and reducing operational costs.

Among the most anticipated announcements is Microsoft’s reported Copilot Super App, designed to unify multiple AI experiences into a single intelligent platform. The initiative aims to simplify AI adoption while empowering users to move beyond basic AI assistance and begin delegating increasingly sophisticated tasks to autonomous AI agents. This evolution marks a significant step toward creating digital workforces capable of augmenting human productivity at scale.

Microsoft is also expected to showcase new enterprise-grade AI models, enhanced coding assistants, and expanded AI agent frameworks that allow organizations to automate workflows, accelerate software development, and drive smarter decision-making. These innovations reflect a broader industry trend toward agentic AI, systems capable of reasoning, planning, learning, and executing tasks with minimal human intervention.

Turning AI Innovation into Business Value

While the opportunities presented by Microsoft’s latest AI advancements are substantial, organizations face a critical challenge: translating innovation into measurable business outcomes. Successfully adopting AI requires more than access to technology. It demands a clear strategy, robust governance, secure data foundations, seamless integrations, and a trusted implementation partner.

This is where Prolifics becomes a critical ally.

As a leading digital transformation and AI solutions provider, Prolifics helps organizations bridge the gap between AI innovation and enterprise execution. With deep expertise across Microsoft technologies, cloud modernization, data engineering, automation, application modernization, and AI, Prolifics enables businesses to rapidly adopt emerging capabilities while minimizing complexity, risk, and operational disruption.

Why Partner with Prolifics?

Organizations can leverage Prolifics to:

• Accelerate Microsoft Copilot adoption across business functions.
• Design and deploy intelligent AI agents tailored to enterprise use cases.
• Modernize legacy applications for AI readiness.
• Build secure, scalable, and governed data ecosystems.
• Implement AI governance and compliance frameworks.
• Integrate AI seamlessly into existing business processes.
• Maximize ROI from Microsoft AI investments.

The arrival of next-generation Copilot experiences presents tremendous opportunities for businesses to transform employee productivity, streamline operations, and unlock new levels of efficiency. However, implementing AI responsibly requires strong governance, secure data foundations, and seamless integration with existing business systems. Prolifics brings proven experience in these areas, helping enterprises design scalable AI architectures that deliver measurable value and long-term success.

The Future Starts Now

As Microsoft continues to reshape the future of work through AI-powered experiences, enterprises that act now will be best positioned to lead their industries. Build 2026 is more than a technology conference; it is a preview of the next generation of digital business, where AI becomes embedded into every process, decision, and customer interaction.

With Microsoft pushing the boundaries of AI innovation, partnering with Prolifics enables organizations to move beyond experimentation, accelerate adoption, and confidently transform vision into reality. Together, Microsoft and Prolifics can help enterprises unlock the full potential of AI and gain a sustainable competitive advantage in the age of intelligent business.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

As enterprises move beyond AI experimentation and toward large-scale deployment, Snowflake has announced significant updates to its AI Data Cloud platform aimed at accelerating the development of agentic enterprises. The latest enhancements focus on helping organizations build, govern, and operationalize AI agents that can independently perform complex business tasks while remaining grounded in trusted enterprise data.

Key Highlights

• Introduces new AI-powered capabilities designed for agentic enterprise use cases.
• Expands Snowflake Intelligence and Cortex Code to automate complex workflows.
• Strengthens governance, security, and interoperability across enterprise data ecosystems.
• Enhances support for AI agents that can reason, plan, and execute business tasks.
• Enables organizations to scale AI adoption while maintaining data trust and compliance.

The new platform updates expand the capabilities of Snowflake Intelligence, the company’s AI-powered assistant, and Cortex Code, its AI-driven development environment. Together, these tools are designed to bridge the gap between enterprise data, business applications, and AI models, enabling organizations to transform insights into action more efficiently.

According to Snowflake, modern enterprises require more than standalone AI models. They need intelligent systems that can access governed data, understand business context, and execute tasks across multiple applications and environments. The company’s latest innovations aim to create a unified control plane where AI agents can securely interact with data and operational systems.

One of the most notable enhancements is the evolution of Snowflake Intelligence into a personalized, context-aware AI agent. The solution can automate routine activities such as generating reports, conducting multi-step analyses, preparing presentations, and managing follow-up actions. By leveraging natural language instructions, business users can complete complex workflows without requiring deep technical expertise.

For developers, Cortex Code introduces expanded capabilities that accelerate AI application development across increasingly complex enterprise environments. The platform now supports deeper integrations, cross-platform development, and governance controls that help organizations move AI initiatives from pilot projects into production.

Snowflake is also placing a strong emphasis on governance and interoperability. The company has enhanced support for open standards and integrated data management, helping enterprises manage AI workloads across structured and unstructured data sources while maintaining compliance and security requirements. These capabilities are increasingly important as organizations seek to deploy autonomous AI systems at scale.

Industry analysts view the announcements as part of a broader trend toward agentic AI, where enterprises are shifting from AI assistants that provide recommendations to AI agents capable of executing actions. Snowflake’s strategy reflects growing demand for platforms that combine data, governance, and AI orchestration into a single enterprise framework.

With these updates, Snowflake is positioning itself as a foundational platform for organizations seeking to unlock the full potential of enterprise AI while ensuring governance, scalability, and trust remain at the core of every AI-driven decision.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com

Frequently Asked Questions (FAQs)

Salesforce has announced a major expansion of MuleSoft Agent Fabric, introducing automated agent discovery capabilities designed to help enterprises gain visibility, control, and AI agent governance over rapidly growing AI ecosystems. As organizations accelerate AI adoption across multicloud environments, managing AI agent sprawl solutions has become a pressing challenge for enterprise AI ecosystem management.

AI agents are being deployed across departments, platforms, and cloud providers. While these agents unlock automation and intelligence at scale, they also create operational complexity. Without centralized oversight and proper multi-cloud AI orchestration, enterprises risk duplication, security gaps, compliance concerns, and underutilized AI investments.

Salesforce’s enhanced MuleSoft Agent Fabric directly addresses these challenges through continuous, automated agent discovery and cataloging of AI agents across diverse environments. This includes Salesforce Agentforce, Amazon Bedrock, Google Cloud Vertex AI, and other supported frameworks, providing much-needed agentic AI visibility.

Why This Matters for Enterprises

As AI adoption grows, businesses face three critical challenges:

• Limited visibility into deployed AI agents
• Inconsistent AI agent governance across multi-cloud environments.
• Difficulty scaling AI securely and efficiently

The new automated agent discovery capability eliminates manual inventory tracking and replaces outdated spreadsheets with real-time agent intelligence, helping leaders understand how to manage AI agents across multi-cloud environments.

What MuleSoft Agent Fabric Now Delivers

The expanded platform introduces intelligent agent scanners that continuously monitor connected environments. These scanners detect active AI agents, extract key metadata, and register them within a centralized registry for enterprise AI agents.

Key capabilities include:

• Continuous automatic discovery of AI agents
• Centralized registry serving as a single source of truth
• Deep metadata capture including capabilities and data access
• Cross-platform visibility across multicloud ecosystems
• Real-time updates without manual intervention

This ensures IT, security, and AI operations teams always know:

• Which agents are running
• Where they are deployed
• What data they access
• How they interact with enterprise systems

Enhanced Visualization and Control

Salesforce has also introduced Agent Visualizer, enabling teams to view, filter, and analyze AI agents across platforms. For example, organizations can quickly isolate agents running on Amazon Bedrock versus Google Cloud with a few clicks.

This capability supports stronger governance, improved compliance alignment, and faster decision-making.

Strategic Business Impact

The value of automated discovery goes beyond visibility. It enables enterprises to:

• Eliminate redundant AI agents
• Optimize AI investments
• Improve security posture
• Accelerate innovation
• Promote reuse of intelligent workflows
• Reduce operational silos

Conclusion

AI is rapidly transitioning from experimental pilots to mission-critical enterprise infrastructure. Organizations that succeed will be those that balance innovation with control, flexibility with AI agent governance, and scale with security.

With automated agent discovery, MuleSoft Agent Fabric positions Salesforce as a leader in helping enterprises manage the complexity of agentic AI across multi-cloud environments. By delivering unified visibility, operational control, and scalable governance, Salesforce is enabling businesses to innovate confidently and build a connected, intelligent enterprise.

Media Contact:  Chithra Sivaramakrishnan | +1(646) 362-3877 |  chithra.sivaramakrishnan@prolifics.com