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FPT Software earned double recognitions in the Microsoft Azure Specialisation Program, namely Artificial Intelligence and Machine Learning and Kubernetes on Microsoft Azure, reaffirming its profound expertise and capabilities in these domains.
Global technology company FPT Software recently earned double recognitions in the Microsoft Azure Specialisation Program, including Artificial Intelligence and Machine Learning (AI/ML) and Kubernetes on Microsoft Azure. These achievements reaffirm the IT firm’s profound expertise in Microsoft solutions and its position as a trusted leader in these domains.
FPT Software recorded excellent performance in a comprehensive and rigorous audit of its operational capabilities, processes, procedures, and demonstrations of tools and technologies related to the evaluated area. The company has showcased extensive experience and robust capabilities to provide tailored solutions on Azure for diverse business needs, especially in two modules, ‘Cloud Foundation’ and ‘AI and Machine Learning on Microsoft Azure specialization workload.’ As part of the program, it now gains access to specific go-to-market programs and will be prioritized in customer searches in Microsoft AppSource.
“At FPT Software, we align digital transformation and AI as key focuses for sustainable growth in the next period. Attaining these recognitions is another testament to our broad expertise, continuous pursuit of excellence, and a strong talent pool,” said Frank Bignone, FPT Software VP and Director of Digital Transformation. “I’m confident they will boast more avenues for partnership between FPT Software and Microsoft, as well as new business prospects to further drive disruptive transformation and substantial value."
With over 25 years of partnership, FPT Software consistently demonstrated its ability to leverage Microsoft technologies to drive impactful innovation and outstanding growth to clients worldwide.
Recently achieving Solutions Partner designation for Microsoft Business Applications, earning advanced specializations in AI/ML and Kubernetes on Microsoft Azure technologies further signifies FPT Software's determination to pursue the Azure Expert Managed Services Provider certification—Microsoft's highest and most prestigious certification for partners with strong capabilities in developing and managing cloud services on Azure.
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| TOKYO, Japan – FPT recently earned the title of Best Workplace, through its Japanese subsidiary, at the D&I Award 2024 in its debut participation. |
| The D&I Award is one of the most prestigious recognitions in Japan, celebrating companies that prioritize diversity and inclusion. This award evaluates organizations based on 100 criteria across five key areas: gender, LGBTQ+, disabilities, multicultural coexistence, and childcare/elderly care. Companies receive certification at one of four levels, depending on their performance. FPT stood out as one of the few selected to receive top-level recognition among numerous esteemed participants. |
| Driven by the principle that “Diversity is the engine of innovation,” FPT is dedicated to creating a workplace where employees are supported and empowered to achieve personal growth while driving organizational success and contributing to positive societal change. By embedding diversity, equity, inclusion, and belonging at the core of its strategy, FPT aims to enhance decision-making, foster innovation, and ensure sustainable growth while making a meaningful impact on society. |
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| “FPT believes in the power of diversity and inclusion and strives to create a workplace that embodies our commitment to fostering an inclusive culture. As we continue to expand our workforce across diverse countries, we remain dedicated to advancing initiatives that support our people, strengthen our communities, and contribute to society. This will also create a solid foundation for us to stay agile and responsive to the evolving needs of our customers, driving innovation and sustainable growth on a global scale,” shared Do Van Khac, FPT Software SEVP and FPT Japan CEO, FPT Corporation. |
With nearly two decades of presence in Japan, FPT has grown to become one of the largest foreign-invested technology companies in the country in terms of human resources. The company operates with 4,000 employees across 17 local offices and innovation hubs, supported by 15,000 global employees serving the Japanese market. It provides services and solutions to over 450 customers worldwide. FPT is also recognized for excellent employee benefits and workplace happiness, including Best Workplaces in Asia, Best Places to Work in Japan, and Best Places to Work for Women in Japan. |
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| 1 | FPT Earns 2024 EcoVadis Gold Rating for Sustainability Excellence for Its German Subsidiary | FPT Corporation has reached a remarkable milestone, with its German subsidiary receiving the prestigious 2024 EcoVadis Gold Rating for sustainability excellence. This achievement ranks FPT among the top 5% of global businesses for its commitment to sustainable practices in critical areas such as environmental impact, labor and human rights, ethics, and sustainable procurement. |
| 2 | FPT Software Bolsters Digital Transformation Capabilities with Double Recognitions in Microsoft Azure Advanced Specialisation. FPT Software Bolsters Digital Transformation Capabilities with Double Recognitions in Microsoft Azure Advanced Specialisation | FPT Software earned double recognitions in the Microsoft Azure Specialisation Program, namely Artificial Intelligence and Machine Learning and Kubernetes on Microsoft Azure, reaffirming its profound expertise and capabilities in these domains. |
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| 001 | FPT supports your transformation through four pragmatic blocks that align with leadership priorities. We assess readiness, pilot quickly to prove value, scale with robust governance, and drive adoption through training and change. This end-to-end approach shortens time to impact and reduces risk, while keeping outcomes measurable and repeatable. |
Assess: Rapid readiness diagnostics map processes, identify data owners, and estimate value, so you get a prioritized list of pilots. The focus is clarity and speed, and it equips leaders to choose where to start. |
Scale and govern: Production-grade integration into SAP Datasphere, SAP BTP, or other platforms ensures resilience and interoperability. MLOps covers monitoring, retraining, and rollback, so models remain compliant and effective. |
| 002 | Below are the four blocks, organized by where they add the most value along your journey, and how they connect to leadership priorities. |
Pilot and prove: Fast pilot delivery embeds models in SAP workflows with measurable KPIs and a clear acceptance gate. This reduces uncertainty and creates evidence for scale, while aligning IT and business. |
Adopt: Training playbooks and change management empower teams, and a rollout plan pairs process owners with data stewards and model owners. This builds confidence and consistency, so improvements stick. |
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| No | Summary | Why does this matter now? | What embedded AI looks like in practice? | What are the resulting business vignettes from Smart SAP Systems that you should care about? | How to move fast without breaking things |
| 1 | The article advocates an AI-first ERP approach that embeds intelligence within transactional workflows rather than separate analytics. It recommends short, outcome-based pilots, clear ownership, and change enablement to move decisions into the flow of work, strengthening forecasting, cash management, maintenance planning, and operational responsiveness while reducing delays between insight and action. | It matters because insights need to meet the moment of action, not arrive after the fact. Embedding machine learning into ERP workflows closes that gap, bringing forecasts, anomaly alerts, and recommended actions into the same screens. Teams respond faster, reduce expensive workarounds, and leaders gain clearer, real-time visibility into risk and performance. |
Embedded AI shows up as practical patterns that quietly improve everyday operations, and it does so by predicting risks, automating routine judgments, and recommending actions with clear rationale. Together, these patterns prevent costly surprises, reduce manual effort, and guide better decisions, therefore delivering outsized value without disrupting existing workflows. |
These vignettes highlight practical shifts that turn analytics and process tweaks into measurable business outcomes, and they show where to focus for quick wins. By aligning actions with daily workflows and clear metrics, you reduce friction, build trust, and accelerate value without unnecessary complexity. |
The principles below focus on pragmatic impact, and they help teams move quickly while maintaining control and trust. |
| 2 | Defines the AI-first ERP concept as embedding intelligence directly into transactional workflows. Highlights business benefits including faster decisions, proactive interventions, steadier cash, and improved operational resilience. Explains implementation through focused pilots with measurable outcomes, accountable owners, and embedded user experiences. Discusses adoption challenges and future outlook, emphasizing change management, data pragmatism, and scalable integration. |
ERP systems have long served as the system of record, yet they are not always the system of action. When analytics operate outside the transaction, insights often arrive too late to influence outcomes. Embedded machine learning changes that dynamic and places intelligence where work actually happens. Forecast updates, anomaly alerts, and suggested actions appear inside the same screens users rely on, which reduces handoffs. As a result, frontline teams gain the context they need to act now. |
Below are three simple patterns that often deliver the largest share of value, and each can be implemented incrementally for quick wins. |
The following changes emphasize continuous visibility and better cash discipline, and they help finance leaders act sooner with fewer surprises. |
Choose a narrow set of use cases with clear ownership and evidence, and prove value before you scale. Start with two to three use cases that have clear owners, clear metrics, and data that is already reasonably clean. Use a minimum viable model approach: prove the outcome with a simple model before investing in scale. |
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| No | Measure the right things | Govern and observe |
Keep humans in the loop early |
Deploy where the user is |
| 1 | Align metrics to business outcomes, and you will drive better decisions. |
Define rollback playbooks before full rollout. |
Human judgment catches edge cases, and it accelerates model learning and trust. |
Meet people in their core tools, and adoption will be easier and faster. |
