Category Archives: Technology

QMentisAI by QualiZeal Slashes Software Testing Timelines by 60 Percent with Innovative Generative AI

India, June 2025—QualiZeal, a U.S.-based quality engineering (QE) firm with Global Capability Centers (GCCs) in Hyderabad, has recently launched QMentisAI, a Generative AI-powered QE platform that has garnered significant interest across the software testing community. Frost & Sullivan recently recognized QMentisAI with the 2025 Indian GenAI Quality Excellence Platform—Best Practices Award for Industry Excellence.

The award-winning, enterprise-grade platform is designed to reduce software testing timelines by up to 60% across key functions—requirement refinement, test design, and test automation—while achieving nearly 95% accuracy, transforming how testing is conducted at scale.

Equipped with 18 advanced capabilities—including user story refinement, test design, test automation scripting, and defect report enhancement—QMentisAI integrates GenAI throughout the testing lifecycle, significantly improving tester productivity.

It addresses common QE challenges such as poorly written user stories, manual test script generation, inefficient defect documentation, collaboration gaps among distributed teams, and time constraints in Agile environments. The platform leverages advanced Natural Language Processing (NLP) and large language models (LLMs) within an agentic architecture, combined with QualiZeal’s deep domain expertise, to overcome complex QE roadblocks.

“QMentisAI embodies our vision of combining cutting-edge technology with human expertise to deliver superior results,” said Madhu Murty, Co-Founder & Head of India Operations, at QualiZeal. “By harnessing GenAI and a human-in-the-loop approach, we’re enabling teams to reduce manual effort, accelerate delivery, and achieve unprecedented efficiency.”

While GenAI powers core QE processes, its human-in-the-loop model ensures expert validation to refine outputs and uphold quality. QMentisAI is industry-agnostic, built for flexibility and scale, and includes future-ready features such as synthetic data creation, risk assessment, a prompt library, and performance and security testing.

“As software engineering evolves, QMentisAI is our answer to bridging the gap between technology and human ingenuity,” said Pradeep Govindasamy, Co-Founder, President & CEO, of QualiZeal. “Its ability to reduce manual effort, accelerate timelines, and foster seamless collaboration makes it a game-changer for teams striving for excellence.”

The platform cuts up to 80% of manual effort in test case design and defect documentation, significantly shortens project timelines, and enhances communication among globally distributed teams.

Heena Juneja, Industry Principal at Frost & Sullivan, commented on QMentisAI’s transformative impact, “Frost & Sullivan recognizes QualiZeal for redefining the QE landscape through its groundbreaking platforms, QMentisAI and QualiCentral. The company enables faster, more efficient, and highly reliable software deployments by integrating GenAI into QE workflows—delivering value across industries beyond just automation.”

QualiZeal is continually enhancing QMentisAI with features like root cause analysis, security testing, accessibility support, and agentic AI capabilities—reaffirming its commitment to inclusive, future-proof QE solutions.

Mphasis Recognized as a Contender in Application Modernization and Multicloud Managed Services Evaluation Report

Mumbai, June 18, 2025 Mphasis, an Information Technology provider specializing in cloud and cognitive services, today announced that it has been included as a ‘Contender’ in The Forrester Wave™: Application Modernization And Multicloud Managed Services, Q1 2025 by Forrester Research, Inc.

According to the report, Mphasis serves an important role in its specialized industries, bringing extensive experience in transaction-intensive industry modernization and legacy technologies. The evaluation recognizes Mphasis’ skills in high-performance IBM legacy environments, making it well-suited for modernization efforts involving legacy platforms in the banking, finance, and airline industries.

“We believe this recognition by Forrester highlights our dedication to driving transformation through specialized modernization solutions,” said Srikumar Ramanathan, Chief Solutions Officer, Mphasis. ” Clients value our deep domain expertise in modernizing legacy systems and integrating multi-cloud capabilities. This acknowledgement reinforces our commitment to helping enterprises optimize operations, scale efficiently, and achieve sustainable growth in a rapidly evolving digital landscape.”

In an extensive evaluation, Forrester researched, analyzed, and scored fifteen top providers in the application modernization and multi-cloud managed services sector based on strategy and current offering. The report serves as a valuable resource for organizations seeking partners to navigate complex modernization and cloud transformation initiatives.

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here .

AI Overhyped Yet Underused as 86 Percent Miss Full Potential Says GoTo Study

AI Underdelivers at Work: 62% of Employees Say AI is Significantly Overhyped, But 86% Admit They Aren’t Using AI to Its Full Potential According to New Research from GoTo

June 18, 2025, India – GoTo, the leader in cloud communications and IT, today announced the release of a new research report: The Pulse of Work in 2025: Trends, Truths, and the Practicality of AI. The report summarizes the findings of a survey of 2,500 global employees and IT leaders on AI use and sentiment, conducted in partnership with research firm Workplace Intelligence. Among the study’s key findings: despite widespread anticipation about AI’s positive impact on workforce productivity, most employees feel they were overpromised on its potential. In fact, 62% believe AI has been significantly overhyped.

However, this is likely because employees aren’t making the most of what these tools have to offer. The majority (86%) admit they’re not using AI tools to their full potential, and 82% say they aren’t very familiar with how AI can be used practically in their day-to-day work.

All told, employees estimate that they’re spending 2.6 hours a day — or 13 hours per week — on tasks that could be handled by AI. This means that in the U.S. alone, businesses could be missing out on more than $2.9 trillion annually in greater efficiency.*

“Employees are already using AI and are seeing clear productivity gains, yet despite these benefits, our latest research shows people still view AI as overhyped. While many recognize its value, they don’t yet see it as the revolutionary change they were promised. This gap likely exists because many workers admit they aren’t realizing AI’s full potential or don’t know how to apply it in practical ways,” said Rich Veldran, CEO of GoTo. “The solution is clear: companies must go beyond just providing access to AI by ensuring employees have both the right tools and the right education. By equipping teams with effective training and clear guidelines, organizations can empower their workforce to unlock the true, transformational impact of AI.” 

Other key findings include:

• AI is handling some tasks for employees — just not the ones their bosses think: Instead of using AI to save themselves time in their day-to-day work, 54% of employees admit they’ve used it for sensitive tasks or high-stakes decision-making such as tasks requiring emotional intelligence (29%), tasks impacting safety (25%), and ethical or sensitive personnel actions (16%) — despite knowing they shouldn’t. An alarming 77% of these workers also say they don’t regret using AI for these tasks.

• Another potential reason for AI’s underuse — employees don’t trust the tools: 86% of employees aren’t very confident in the accuracy and reliability of AI tools, and 76% say they often provide outputs that need to be refined or revised by users.

• Smaller companies are falling behind: At the smallest companies — those with 50 employees or less — just 59% of workers use AI and 46% say they don’t know how to use AI to save time or improve their work. At larger organizations, however, closer to 80% are using AI.

“Contrary to what you might think, it’s not just older workers who are struggling to realize the benefits of AI tools,” said Dan Schawbel, Managing Partner, Workplace Intelligence. “Younger workers also admit they’re not using these tools to their full potential. In fact, 74% of Gen Z employees say they aren’t very familiar with how to use AI practically in their day-to-day work. This highlights the importance of equipping all generations with the tools and education to use AI safely and effectively.” 

The research also describes solutions to help close the AI adoption gap:

• Give employees the tools they want: Employees say an AI virtual assistant (88%), AI tools that automate certain work tasks (86%), AI communication tools (83%), generative AI tools (81%), and an AI chat/messaging assistant to communicate with customers (73%), would be most valuable for them, but roughly only 4 out of 10 say their company offers these.
• Improve policies and training to prevent AI misuse: Just 45% of IT leaders say their company has an AI policy in place. Both employees (81%) and IT leaders (71%) believe AI tools need better instructions and guardrails for proper usage. 87% of employees also feel most workers are not being trained properly to use AI tools.
• Be purposeful about AI implementation and ROI measurement: At companies using AI, 21% of IT leaders admit their company is adopting AI or buying AI tools just because they think they should — not after careful consideration or with a clear plan in mind. What’s more, nearly half (49%) of IT leaders say their company isn’t measuring the ROI of AI tools very well.
• Recognize that a small investment can have a major impact: 77% of IT leaders say their company would only need to spend an extra $20/month or less per employee on AI tools to save each employee an additional one hour a day in greater efficiency.

• Help IT leaders understand the employee perspective: The survey revealed that IT leaders and employees aren’t always seeing eye-to-eye when it comes to AI use, practicality, reliability, and more. Companies that take steps to address these disconnects will be well-positioned to maximize the benefits of AI for their organization.

IndiaMART bags best place at AWS Hackathon on Agentic AI held in Delhi

Ambrane Launches PowerMini 10, Ultra-Compact Powerbank with 10,000mAh Capacity

New Delhi, June 17th, 2025: Ambrane, a leading name in mobile accessories and consumer electronics, launches its Made-in-India PowerMini 10 Power Bank. This ultra-compact powerbank offers a glimpse into the brand’s upcoming product lineup. No taller than a lipstick, the PowerMini 10 boasts a powerful 10,000mAh capacity in a pocket-friendly form, designed to seamlessly fit into today’s fast-paced, on-the-go lifestyle. Priced at ₹1399 and backed by an 6-month warranty, the PowerMini 10 is available in four vibrant colours, on the Ambrane website along e-commerce platforms like Amazon.

In line with current trends, PowerMini 10 is an easy choice for busy Millennials & fun-loving Gen Z who show a preference for vibrant & stylish designs. Blending style with convenience, the powerbank features an inbuilt cable which doubles as a carrying hook for effortless portability. With compact size, it easily slips into any pocket and is hangable from any backpack.

The powerbank offers versatile charging options, including a built-in Type-C cable, a Type-C port, and a USB-A port to power your everyday tech essentials. Further, it integrates the brand’s proprietary BoostedSpeed™ charging technology, ensuring faster and more efficient charging. It’s built to withstand everyday commutes and outdoor adventures alike, making it a reliable power supply.

Speaking on the launch, Ashok Rajpal, Managing Director of Ambrane, said, “We didn’t want to just make another powerbank, we wanted to create a powerbank you’d actually want to carry. It’s stylish, smart, and matches your modern lifestyle. The PowerMini 10 is our answer to bulky bricks and tangled cables.”

Ambrane commands nearly one-third of India’s powerbank market share, with all its products, including the PowerMini 10, proudly designed and manufactured at its state-of-the-art facility in Sonipat, near Delhi.

Operant AI Launches MCP Gateway: enterprise-grade runtime defense for MCP-Connected AI Applications

Bengaluru, June 17 , 2025 : Operant AI, the world’s only Runtime AI Defense Platform, has launched MCP Gateway, an expansion of its flagship product, AI Gatekeeper™ platform that secures AI systems built on the increasingly adopted Model Context Protocol (MCP). As more companies use open-source MCP servers and AI agents, MCP Gateway stands out as the only enterprise-grade solution that protects these critical workflows in real time, with the industry’s first active-blocking capabilities for API security.

With over 1,000 MCP servers deployed globally, MCP has become a key protocol enabling large language models (LLMs) to connect securely with external tools, APIs, and data systems. According to Gartner, by 2026, 75% of API gateway vendors and 50% of Integration Platform as a Service (iPaaS) vendors will adopt MCP features—highlighting its role in AI-driven workflows. In India, where the AI market is projected to reach $17 billion by 2027 as per NASSCOM, MCP is gaining traction among enterprises in sectors like IT services, fintech, and healthcare.

However, this explosive growth has also introduced critical vulnerabilities. From prompt injection attacks to shadow AI deployments, organizations are grappling with a new wave of threat vectors—compounded by the rise of modular, multi-agent systems. As autonomous agents multiply, so do the risks, with limited visibility or control over how these agents behave, what data they access, and how they interact. This includes emerging attack paths such as inter-agent spoofing, where one compromised agent can manipulate or mislead others in the network.

MCP Gateway addresses these gaps by actively blocking threats and delivering real-time protection across every layer of the MCP stack—from local tools like GitHub Copilot and Claude Desktop to enterprise AI agents running on AWS Bedrock, Azure, and Google Vertex AI.

“While MCP is a powerful AI integration framework, the growing adoption of open-source MCP servers also brings new challenges around security and governance,” said Vrajesh Bhavsar, CEO and co-founder of Operant AI. “Many organizations are deploying these tools without full visibility into their behavior, data access, or usage. MCP Gateway helps close this gap by providing enhanced security, observability, and control across the MCP ecosystem.”

Comprehensive Security for the AI Agent Era

Unlike traditional guardrails and static cyber-security tools, MCP Gateway is purpose-built for the inter-connected AI agent era, empowering organizations to safely and effectively leverage AI agents and MCPs through three core capabilities:

1. MCP Discovery: Complete Visibility Into AI Agent Ecosystems
2. Automatic real-time MCP tool catalogs and AI agent discovery across all environments
3. Live traffic graphs and telemetry showing active access patterns between AI agent clients and MCP servers
4. End-to-end visibility from development tools to cloud deployments, eliminating shadow MCP server blind spots
5. Comprehensive discovery spanning coding agents to remote AI agents in multi-cloud environments
6. MCP Detections: Advanced Threat Detection for AI-Specific Risks
7. Real-time detection of sensitive data leakage to and from AI agents and MCP tools
8. Identification of emerging agentic AI threat vectors, including tool poisoning, jailbreaks, and unauthorized access
9. Supply chain security monitoring for vulnerabilities in local MCP servers and misconfigurations in remote servers
10. Trust and risk scoring for all MCP servers in the environment
11. MCP Defense: Proactive Protection and Governance
12. Enforcement of MCP trust zones with live blocking of untrusted servers and tools
13. Prevention of sensitive data and IP leakage through real-time flow blocking and auto-redaction
14. Least privilege execution controls and granular access permissions for the MCP tool usage
15. Centralized governance framework for enterprise-wide AI agent and tool management
16. Rate limiting and encryption standard enforcement for all MCP communications

Ecosystem Partnership Strategy

Operant AI is launching the MCP Gateway with a comprehensive ecosystem partnership program designed to secure the entire MCP vendor landscape. Operant AI is working closely with MCP vendors and AI tool providers to deliver pre-integrated security tooling, helping partners secure their customers by embedding AI Gatekeeper’s runtime defenses directly into their MCP offerings.

“We’re not just securing MCP applications – we’re enabling the entire ecosystem,” said Ashley Roof, Co-Founder and CMO at Operant AI. “Our partnership approach mirrors our successful sales enablement programs with model providers, creating a security foundation that allows MCP vendors to serve enterprise customers confidently.”

MCP Gateway is currently available as part of the AI Gatekeeper platform, with comprehensive integration support for existing MCP servers and AI agent deployments. The solution supports all major cloud platforms and development environments where MCP applications are deployed.

Keysight and NTT Set 280 Gbps 6G Data Record with Sub-THz Tech

June 17, 2025: Keysight Technologies, Inc. in collaboration with NTT Corporation (NTT) and NTT Innovative Devices Corporation (NTT Innovative Devices), today announced a groundbreaking world record in data rate achieved using sub-THz frequencies. 1 This milestone was reached with Keysight’s Vector Component Analyzer (VCA) in conjunction with NTT’s and NTT Innovative Devices’ high-output, wide-bandwidth J-band Indium Phosphide (InP)-based power amplifier (PA). In addition, advanced digital predistortion techniques were employed to mitigate amplifier non-linearities, ensuring robust, high-fidelity signal generation.

The rapid advancement of 6G, AI, and autonomous driving technologies is driving a significant demand for wide bandwidth capabilities offered by sub-THz frequencies for high-speed wireless communication and precision radar sensing. Validating these systems with high-quality modulated signals is essential for development and deployment. However, achieving high-quality signals in the sub-THz range has been challenging due to the complexities of amplifying signals and managing distortion at higher power levels.

The collaboration between Keysight, NTT, and NTT Innovative Devices successfully demonstrated the power amplifier’s effectiveness in the 300-GHz frequency band. Testing confirmed its saturated power level at +9.1 dBm and achieved a 280 Gbps data rate (35 GBaud 256QAM) at 0 dBm power output — the highest data rate reported to date in the 300 GHz band. This significant achievement is largely attributed to Keysight’s Vector Component Analyzer, built on the latest N524XB series PNA-X Microwave Network Analyzers equipped with digital predistortion techniques, which optimized signal integrity and minimized distortion to enable this unprecedented data transmission speed.

Hirokazu Takenouchi, Vice President, Head of NTT Device Technology Laboratories, said: “At NTT, we are consistently advancing the limits of carrier frequency and integration within radio systems. These developments are pushing the boundaries of what can be achieved in wireless communication systems. The test and measurement industry is crucial in meeting the complex characterization needs of our devices. We have collaborated closely with Keysight throughout our design and verification stages. Keysight consistently provides innovative solutions in both its software and hardware platforms.”

Akimasa Kaneko, Executive Vice President of NTT Innovative Devices, Photonic Components Business Group, said: “By utilizing our InP technology and collaborating with several partners, we have achieved a remarkable maximum throughput of 280 Gbps. This accomplishment marks a significant milestone in developing the broadest frequency bandwidth amplifier, enhancing energy efficiency and linearity, and addressing industry challenges.”

Joe Rickert, Vice President and Head of Keysight’s High Frequency Center of Excellence, said: “This 280 Gbps world record underscores Keysight’s commitment to providing the advanced test and measurement solutions critical for unlocking the potential of sub-THz frequencies for 6G. Our Vector Component Analyzer, coupled with our expertise in high-fidelity signal generation and distortion mitigation, is empowering industry leaders like NTT and NTT Innovative Devices to push the boundaries of wireless communication and realize the high-speed, high-reliability connectivity that will define the next generation of networks.”

This achievement will be presented at the International Microwave Symposium (IMS) 2025 on June 19th, 2025, at 10:10 am in room 211 in the Moscone Center, San Francisco, CA, USA.

1 Documentation of the record-breaking data rate was published in IEEE Xplore® May 6, 2025.

Resources

Technical Overview: 6G Vector Component Analysis

Covestro India’s Greater Noida Site Achieves ISCC PLUS

Covestro’s sustainability journey in India has reached a significant milestone with its Greater Noida polycarbonate compounding facility receiving the prestigious ISCC (International Sustainability and Carbon Certification) PLUS certification on May 5, 2025. This certification enables the facility to produce the RE series of renewable attributed polycarbonate products, under the CQ (Circular Intelligence) product portfolio offered by Covestro. The RE series is used across electrical and electronics, automotive, and healthcare industries, and further enables these sectors to advance their climate goals.

Greater Noida hosts Covestro’s flagship polycarbonate compounding facility in North India—the largest and one of the few of its kind to achieve ISCC PLUS certification. With this certification, it joins the group of ISCC PLUS certified global manufacturing network from Covestro helping to serve both local and global customers with the RE series at all key regions.

Commenting on this achievement, Anand Srinivasan, Managing Director and Head of Engineering Plastics ISC said – “Achieving ISCC PLUS certification underscores our strong commitment to sustainability by ensuring responsible sourcing and traceability of materials throughout our value chain. At the same time, this certification enhances our global business by providing a competitive edge, meeting increasing customer demands for more sustainable products, and opening doors to new, environmentally conscious markets.”

The ISCC PLUS-certified polycarbonates will be produced using a mass-balance approach within existing production infrastructure, reducing the carbon footprint of the final products. Covestro plans to begin supplying select ISCC PLUS certified products from its Greater Noida facility from this year onwards.

Sharing thoughts on this achievement, Arun ram, Site Manager – Greater Noida said – “The ISCC PLUS accreditation allows us to offer tremendous value to our customers and key industries. Our polycarbonate production chain is now more sustainable – right from sourcing and production in APAC, EMEA, and NAFTA regions to compounding in Greater Noida. Makrolon® RE, part of the RE series, provides customers with an excellent option to advance their climate goals.”

ISCC is an internationally recognised sustainability certification standard for biomass and bioenergy that applies to all value chain stages and is acknowledged worldwide. This certification represents a significant step in Covestro’s broader commitment to fully embrace the circular economy and achieve climate neutrality by 2050.

The certification not only strengthens Covestro’s position as a sustainability leader in India’s polymer industry but also responds to growing market demand for environmentally responsible materials. By offering ISCC PLUS-certified products from the Greater Noida facility, Covestro (India) enables customers across multiple industries to integrate more sustainable materials into their supply chains without compromising on performance or quality. As India continues its focus on sustainable development, Covestro remains dedicated to expanding its CQ (Circular Intelligence) portfolio of circular solutions while supporting the country’s transition toward a more resource-efficient future.

Technology Leaders Face High Stakes in the AI Race, finds new KPMG International Report

7 June 2025: KPMG International has released its latest flagship study, “The Intelligent Tech Enterprise: A Blueprint for Creating Value Through AI-Driven Transformation,” revealing that while 88% of tech leaders believe AI adoption is key to competitive advantage, only 47% are currently seeing significant ROI from their investments.

The report, based on insights from 1,390 global executives which included 183 respondents from the technology sector. These leaders shared their experiences and perspectives on overcoming barriers to AI adoption, from dismantling legacy systems to addressing organizational inertia. We also tapped into our own experiences from helping KPMG clients on more than 500 AI engagements that outlined a clear, three-phase blueprint for technology companies to realize meaningful value from AI in three phases: Enable, Embed, and Evolve.

Sharing his views, Purushothaman KG, Partner and Head Technology Transformation, KPMG in India  said “India’s tech ecosystem is uniquely positioned to leapfrog into the intelligent enterprise era, with 81% of technology firms planning to systematically integrate AI into their products and services within the next 12 months. The strategic integration of AI can redefine our global competitiveness, as 63% of enterprises are set to increase AI spending by more than 10% in the coming year. However, realizing AI’s full value requires a concerted effort—underscoring the importance of robust governance frameworks, talent development, and embedding AI into core business operations. Organizations that proactively embrace these imperatives will not only drive innovation but also set new benchmarks in delivering value and efficiency.”

Here are the key highlights

• Technology companies face the biggest opportunities and threats from AI, with many playing a pivotal dual role, as users of AI and providers of AI to all other sectors. They now hold the pole position in the race towards an intelligent enterprise and set the pace for others to follow, but risk obsolescence at every turn.
• AI also threatens their current business models as software development costs plummet, AI-native startups emerge and agents make it possible to deliver “service- as-software” (new SaaS)
• Technology executives need to solve at least three AI challenges in parallel. First, they must master the use of available AI tools to boost productivity in their own organisation. Next, they need to embed AI into their products and services faster and better than their competitors. Finally, executives must prepare to adapt their business model to a world where all their customers and suppliers have adopted AI, while considering the role that agents will play in the near future
• 88% believe that technology companies that embrace AI will develop a competitive edge over those who do not
• 85% will  increase the percentage of global budget spent on AI
• 68% expect a moderate to very high ROI from AI investments of 10% or more
• 63% are aiming to increase AI investments by more than 10% in the coming year
• 60% are seeking to improve efficiency
• 51% of technology companies are systematically incorporating AI into products and services enabling continuous innovation, tailored solutions and market differentiation, with 81% planning to do so in the next 12 months, signaling a strong commitment to embedded AI as a core driver of business value. This is the opposite of most other sectors where the focus is largely on improving efficiency
• Top 5 GenAI opportunities for technology firms:

• Performance optimization
• Customer relationship management
• Operations execution
• Code generation
• Supply chain resource allocation
• Data governance
• Intelligent analytics
• Supply chain optimization
• Quality assurance
• Digital assistants & automation

The report suggests five key actions for AI success:

1. Architect a coherent, AI-centric vision and strategy
2. Build trust and ethical AI frameworks
3. Supercharge AI product intelligence
4. Scale AI operations with next-gen infrastructure and data
5. Evangelize AI internally to power workstream transformation

Transform Enterprise Workloads up to 4x Faster with Agentic AI

India—May 16, 2025— You’re likely aware of the huge appetite organizations of all sizes have to leverage AI technology to rethink their business and deliver intelligent, data-driven outcomes faster. Recent research shows that 64% of enterprises are investing in AI in 2025, and 63% are accelerating cloud migration plans. The correlation between these is important for you: migrating your mission-critical applications and data to build a trusted foundation is what transforms good AI into great AI.

This increasing need to move to the cloud doesn’t change the fact that migrating and modernizing workloads remains one of the most tedious (but critical) projects for your enterprise to undertake. At AWS, we’ve spent nearly two decades leading enterprise migration and modernization, helping tens of thousands of customers like you transform their businesses. Despite that, 75% of enterprise workloads remain on premises, with 70% of Fortune 500 companies still running on software written over two decades ago. And traditional migration and modernization projects often stretch to 18 months or more, creating a bottleneck in your path to AI innovation. In 2024, we asked ourselves: What if we could combine our 19 years of migration expertise with the latest advancements in AI to eliminate bottlenecks and accelerate transformation projects from years to months or even weeks? The result is AWS Transform, a revolutionary service that uses agentic AI to accelerate and simplify the migration and modernization of your infrastructure, applications, and code.

Introducing AWS Transform: The Future of Your Enterprise Modernization

AWS Transform (previewed as Amazon Q Developer transformation capabilities at re:Invent 2024) uses specialized AI agents to remove the heavy lifting and automate complex migration and modernization tasks for your VMware, mainframe, and .NET workloads, delivering completed transformation projects up to 4x faster. This new agentic AI service uses AWS advancements in foundational models, LLMs, machine learning, graph neural networks, automated reasoning, and AI infrastructure to deliver an entirely new migration and modernization experience for you. And the results from our preview speak for themselves:

• AWS Transform agent for .NET can modernize Windows-based .NET applications to Linux up to four times faster than traditional methods and realize up to 40% savings in licensing costs.
• AWS Transform agent for mainframe can decompose monolithic z/OS COBOL applications into components that can be run in the cloud in minutes instead of months.
• AWS Transform agent for VMware can automate the conversion of on-premises VMware network configurations to AWS equivalents up to 80 times faster than manual approaches.

AWS Transform uses a chat experience that acts as a knowledgeable transformation assistant, helping you specify objectives, share project context, assess business plans and cost savings, review and adapt transformation plans, review and approve code and infrastructure suggestions and more. AWS Transform also brings together your cross-functional teams in a unified web experience where you can review tasks, track progress, and collaborate throughout the project keeping you in control of transformation plans for your most complex legacy applications including:

Modernizing Windows-based .NET Applications to reduce costs by up to 40%

The AWS Transform agent for .NET accelerates your .NET Framework application porting from Windows to Linux, reducing operating costs by up to 40%. This cost savings is achieved by reducing your Windows Server licensing costs, version upgrades, maintenance, and end-of-support challenges, while also shrinking transformation costs across analysis, planning and refactoring. Using the .NET agent, you can chat using natural language to share transformation objectives and project context, and have AWS Transform analyze dependencies, apply domain expertise from past modernization journeys to develop customized modernization plans, and autonomously transform code, execute unit tests, generate transformation summary, and validate Linux-readiness.

AWS Transform enhances performance and scalability of your applications by transforming .NET Framework application code to cross-platform .NET which is Linux ready, and porting private packages, automating unit test execution, and providing explainable transformation decisions. This new agent enables you to transform hundreds of applications in parallel with consistent results through a unified web experience, streamlining collaboration across your teams and empowering you to efficiently tackle large-scale modernization projects.

“By using AWS Transform for .NET to port one of our .NET Framework applications to .NET Core 8, we reduced 70% of the modernization effort, with 100% success. As we continue our modernization process for the entire core application, we estimate a total development time and effort reduction of up to 80%. The next steps include incorporating one of our major backend applications into the transformation effort from Windows to Linux, deploying it on Amazon ECS and AWS Fargate as microservices.” – Enrique Zazueta, Grupo Tress Internacional (GTI), Director of Software Development

Accelerating Mainframe Modernization from Years to Months

You can now streamline your entire modernization process with the AWS Transform agent for mainframe, accelerating timelines by up to 50% while reducing risk and complexity. Through the chat interface, you can define high-level modernization goals and negotiate your job plan. When you’re ready, AWS Transform processes your mainframe applications written in COBOL, JCL (Job Control Language) and those relying on CICS (Customer Information Control System) transaction manager, BMS (Basic Mapping Support) screens, DB2 databases, and VSAM (Virtual Storage Access Method) data files.

You’ll benefit from advanced code analysis that rapidly identifies dependencies and missing files, reducing downstream project delays. Using Graph Neural Networks, you can decompose your monolithic applications into manageable modules, enabling targeted modernization approaches while preserving your critical business logic. Throughout the project, AWS Transform acts as your AI assistant, learning from your progress and answering questions about your programs based on generated technical documentation.

When you’re refactoring applications, you can convert your COBOL, JCL, and DB2 to Java and Postgres, leveraging state machines and state transition graphs for enhanced accuracy. For reimagining your applications, you’ll get comprehensive technical documentation, business rules, and logical flows extracted from millions of lines of your code. With intelligent orchestration of AI agents, you can modernize your mainframe applications in the cloud with greater speed, simplicity, and confidence while preserving your institutional knowledge through detailed documentation.

“By leveraging AWS Transform’s AI agent functionality, we were able to significantly streamline the process that would typically require experienced engineers to accurately interpret, document, and verify the relationships between programs and the logic of business codes. For instance, in the analysis of complex components—a task that would normally take approximately one month—we confirmed that the same process could be completed within just about one week. This represents a major step forward in enhancing both efficiency and productivity.” – Hitoshi Okayama, General Manager, Broker Dealers System Service Department, Nomura Research Institute, Ltd.

Reducing VMware Modernization Planning from Weeks to Minutes

You can avoid rising VMware licensing fees while optimizing your infrastructure and reducing operational overhead with the AWS Transform agent for VMware. The chat interface guides you to add connectors to your on-premises VMware environments or upload your asset inventories from third-party tools. After you specify your goals, the agent automates tasks such as application discovery, dependency mapping, migration planning, network conversion, server migration, and EC2 instance optimization. You’ll have the ability to review, approve, and edit artifacts through a human-in-the-loop mechanism.

Using Graph Neural Networks, you can analyze your network traffic and communication patterns to identify dependencies and automatically generate optimal migration wave plans. You can convert your complex network configurations to AWS equivalents, including VPCs, subnets, security groups, and transit gateways, while addressing your network migration challenges through enhanced capabilities like isolated VPCs and flexible Hub-and-Spoke configurations. With AWS Transform for VMware, traditional network configuration tasks that typically take two weeks can be completed in one hour, and migration wave planning that usually requires weeks of analysis can be completed in 15 minutes.

“At SourceFuse, we’re excited about the transformational potential of AWS Transform for VMware. By automating critical steps like dependency mapping, network translation, and wave planning, we’ve seen execution times improve by up to 90%, while reducing manual effort by 80%. This capability empowers us to deliver faster, lower-risk migrations, helping our customers achieve cloud readiness sooner and build a scalable, future-proof foundation on AWS.” Rajiv Lokare, Head of DevOps, SourceFuse

Ready to start your transformation?

We are excited about the significant shifts we’ve been able to drive by applying agentic AI to reducing transformation complexity and accelerating timelines. This is the just beginning of our journey of rethinking the migration and modernization of your most critical workloads and we look forward to helping you use AWS Transform to start yours. Reach out to your AWS team or one of our AWS Migration and Modernization Competency partners today to leverage our Migration Acceleration Program (MAP) and Experience-Based Acceleration (EBA) programs to plan your transformation. Or dive into AWS Transform on your own to experience the power of agentic AI and intelligent automation for unprecedented speed, scale and performance as you migrate and modernize to AWS and embrace AI to drive innovation for your business.