Empowering Industries with Generative AI: 3 Things to Look for in an AI Partner

Generative AI is rapidly transforming industries such as healthcare, manufacturing, and insurance, creating vast opportunities but also a complex, fast-evolving landscape that demands a reliable partner. To capture this value, enterprises should seek AI partners with sustained investment, proven capabilities and roadmap, a trusted track record, and truly end-to-end services that extend beyond self-service tools. Backed by global research alliances, a responsible AI-focused roadmap, industry-specific GenAI products, and comprehensive data and AI services, FPT stands out as a strategic partner to accelerate innovation and supercharge digital business.

Written by

Minh Tran

Published on

November 04, 2024

empowering-industries-with-generative-ai-3-things-to-look-for-in-an-ai-partner

Generative AI (GenAI) is rapidly reshaping industries such as healthcare, manufacturing, insurance, and many others. As this technology evolves at high speed and the AI landscape grows more complex, enterprises face both significant opportunities for transformation and new challenges in adoption and governance.

In this context, companies need a reliable partner to help them navigate and fully harness the potential of GenAI. FPT is well-positioned to be that trusted partner, with a proven track record in AI implementation, a long-term commitment to developing trustworthy AI, and a comprehensive suite of solutions tailored to diverse industry needs.

How Generative AI Is Transforming Key Industries

Healthcare

Generative AI is reshaping drug discovery and clinical development by making these processes faster and more cost-effective. Bringing a single drug to market can take around ten years and cost about USD 1.4 billion, with roughly 80% of that spending associated with clinical development. GenAI can enhance efficiency across this entire value chain.

Deep learning models can accelerate virtual screening by predicting which drug compounds are most likely to be effective. At the same time, GenAI can support better clinical study design by identifying high-value patient subgroups and relevant outcomes, and by using historical trial data to predict results and reduce risk. As GenAI capabilities mature, healthcare organizations could shorten drug development timelines by up to 50%.

Generative AI is also improving how healthcare providers identify and manage high-risk patients. For example, a 2023 study in Lancet Oncology showed that AI-driven risk stratification can detect high-risk cancer patients up to four years earlier than traditional methods. By taking into account each patient's genetic profile and treatment history, GenAI can support more personalized treatment plans and better resource allocation, helping ensure patients receive the right care at the right time.

Manufacturing

In manufacturing, generative AI is transforming product design by combining creativity with operational efficiency. Designers can use GenAI to generate a wide range of design options, enabling them to explore unconventional concepts that might otherwise be overlooked. This capability helps manufacturers develop differentiated products that stand out in competitive markets.

GenAI also enables rapid design iteration. Designers can quickly produce multiple variations, test them in virtual environments, and collect performance data. This fast feedback loop supports quicker decision-making and refinement, which reduces both the time and cost associated with physical prototyping.

In addition, GenAI facilitates the development of digital twins — virtual replicas of physical products, production lines, or entire factories. By analyzing real-time sensor data, manufacturers can maintain accurate digital models of their operations. These models allow simulations and predictive analysis that optimize performance and help troubleshoot issues without disrupting production. Reflecting this potential, 39% of manufacturers plan to invest in generative AI within the next 18 months.

Insurance

Within the insurance industry, generative AI is enhancing both customer experience and operational productivity. AI-powered virtual assistants can handle a large share of customer inquiries, providing instant responses and information around the clock. This reduces the volume of routine questions directed to human agents, allowing them to focus on more complex, higher-value interactions.

For insurance professionals, GenAI can automate repetitive tasks such as data entry, document review, and elements of claims processing. Across the sector, generative AI has the potential to automate activities that currently consume 60% to 70% of employees' time. This level of automation can streamline operations, improve service quality, and free up staff to focus on judgment-intensive work and customer relationships.

What to Look for in an AI Partner?

As generative AI rapidly matures, IDC forecasts that GenAI applications will expand from 4.8% of the overall applications market in 2022 to 31% by 2026. To capture this growth, enterprises need an AI partner that combines long-term investment, proven trustworthiness, and comprehensive services.

Based on IDC's guidance, three core criteria should shape how you evaluate and select a generative AI partner:

Investment, capability, and roadmap: The right GenAI partner actively invests in AI research and engineering capacity to support long-term transformation. Their product and solution roadmap should clearly demonstrate an ongoing commitment to generative AI and align with your enterprise's adoption strategy.
Trust and reliability: A credible partner brings a transparent track record, strong governance, and values that reinforce fairness in customer engagements. This foundation of trust is critical when you are deploying AI into core business processes and sensitive data environments.
End-to-end services: Because generative AI is still relatively new, most organizations need more than self-service tools. A valuable transformation partner offers a full stack of professional and managed services, from strategy and use case discovery to implementation, integration, and ongoing optimization, so you can scale GenAI safely and effectively.

FPT's AI Roadmap, Initiatives, and Service Offerings

FPT collaborates with leading global disruptors and research institutes, such as Landing AI, the AI Alliance, and Mila, with a strong emphasis on responsible AI. In addition, through its partnership with NVIDIA to advance generative AI, autonomous driving, and sustainability, FPT aims to position Vietnam as an AI nation and accelerate AI adoption across Asia.

The company offers a comprehensive portfolio of AI products tailored to industry-specific needs. Notable solutions include I2 Intelligent Inspection, an AI-powered acoustic noise inspection tool for manufacturing. Its GenAI Suites are designed to support software development and business operations, featuring solutions such as IvyChat, an agent-based LLM chatbot that streamlines business workflows and enhances data management.

FPT's AI strengths are further reinforced by a broad range of data and AI services, including data engineering, advanced analytics, and end-to-end AI development. With capabilities that span AI research, product development, customized solutions, and full-scale deployment and managed services, FPT stands out as a trusted partner for enterprises seeking an experienced vendor to guide them throughout their AI journey.

Supercharge Your AI Journey with FPT

Generative AI is opening up unprecedented opportunities for enterprises to transform the way they operate and compete. To fully realize this potential, organizations need a reliable partner that can help them adopt and scale this emerging technology effectively. With a proven track record, a long-term commitment to trustworthy AI, and a comprehensive portfolio of solutions, FPT is well-positioned to be that trusted partner.

To explore how enterprises can strategically leverage FPT's AI services to optimize software development, accelerate innovation, and thrive in today's digital-first economy, access the latest whitepaper: "Leveraging GenAI to Supercharge Your Digital Business."

Frequently Asked Questions

How can generative AI create value across my enterprise?

Generative AI can boost productivity, speed innovation, and personalize experiences across functions like R&D, operations, customer service, and software development. With the right partner, enterprises can move from small pilots to scaled, secure solutions that streamline workflows, cut costs, and open new digital revenue streams.

What should enterprises look for in a generative AI partner?

You should assess a partner’s long-term AI investment and roadmap, their proven capabilities and track record, and their ability to deliver end-to-end services. Look for strong research, reliable values, and support that covers strategy, implementation, operations, and continuous improvement, not just tools.

Why choose FPT Software as a long-term generative AI partner?

FPT Software combines a trusted delivery track record with a comprehensive GenAI portfolio and end-to-end services. From domain-specific products to GenAI Suites and data services, they help enterprises move quickly from strategy and pilots to scaled, secure AI adoption aligned with business goals.

How does FPT Software’s AI roadmap and ecosystem benefit clients?

FPT Software’s AI roadmap is anchored in responsible AI, deep ecosystem partnerships, and production-ready offerings. Collaborations with NVIDIA, Landing AI, AI Alliance, and Mila strengthen capabilities in GenAI, autonomous driving, and sustainability, helping enterprises tap cutting-edge innovation with trusted governance and delivery.

How is generative AI changing healthcare and drug development?

In healthcare, generative AI can dramatically reduce drug development time and improve care quality. It accelerates virtual screening, optimizes trial design, predicts outcomes, and enables earlier risk detection and personalized treatment plans, helping cut timelines and costs while improving patient outcomes and resource allocation.