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The Quick Route to Digital Modernization with Generative AI

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The Quick Route to Digital Modernization with Generative AI

THE BOOM OF GENERATIVE AI

Business resilience is at its cutting edge thanks to digital transformation. It was supported for many years by the modernization of the IT platform and the adoption of the cloud. Since change is a continuous process, businesses look to innovations and state-of-the-art technologies to spur expansion and create new opportunities. Interestingly, businesses are now using generative AI to manage the quickly changing tech environment.

Despite its recent inception, GenAI has enormous and diverse business application potential. In an effort to save time, businesses are quickly integrating AI-driven technologies into their regular workflows. Automation combined with generative AI, according to a recent McKinsey study, could expedite 29.5% of working hours in the US economy. Mainframe modernization and low-code/no-code application development are the two key areas where generative AI can help businesses develop more quickly.

BIODIVERSITY & LOW/NO-CODE

Businesses can take advantage of a number of opportunities by utilizing low-code technology and generative AI together, as they are increasingly becoming combined:

Emphasized for non-IT professionals:

Generative AI enables “citizen developers” to benefit from development opportunities with little to no software training or expertise. Independent application development allows developers to take on more complex and strategic tasks, freeing up IT teams to work on other projects.

Faster app development:

Businesses can automate the creation of documentation, increase the reusability of software, and easily incorporate AI features like chatbots and image recognition into low-code apps by utilizing generative AI. Because one of the most time-consuming aspects of the development cycle is human error, generative AI permits fewer feedback loops.

Best practice compliance:

AI is able to confirm adherence to coding standards and suggest performance-boosting adjustments. Proactive assistance streamlines the coding procedure, leading to better-organized codebases.

POWERFUL AI & PRIMARY MODERNIZATION

Additionally, generative AI helps organizations modernize and transform their mainframes, which are still widely used in important industries like banking, retail, and aviation.

According to IBM research, over 70% of Fortune 500 companies still run business-critical applications on mainframes, and 93% of businesses still use them for customer transaction systems and financial management.

However, because of the complexity and difficulty of changing the applications they run, mainframes present a difficult transformation opportunity. These applications age with time, the associated costs rise, and system updates and maintenance may cause disruptions to operations.

Organizations are modernizing their mainframe systems to support the most important applications while moving workloads to hybrid cloud environments. However, there’s a chance that this migration process will involve antiquated programming languages, data transfer vulnerabilities, and possibly improper handling of private information. Data breaches may also result from an application modernization strategy that is not well-structured.

Therefore, in order to reduce these risks and increase efficiency and reliability in the areas where human error could lead to weaknesses, organizations are turning to generative AI.

Engineers can rapidly produce the code required for an application migration exercise, guarantee its quality, and produce the required documentation by utilizing AI. AI can assist with test case generation, maintain and expand upon features of legacy systems already in place, and assess the degree of similarity between migrated functions and mainframe functions even after migration has occurred.

Generative AI also acts as a bridge to enable a wider range of engineers and coding experts to take on modernization and migration projects, given the dearth of specialists in legacy languages like Cobol, on which many mainframe applications are built. It gives developers the know-how they need to work more efficiently, solve problems quickly, and maintain and update enterprise systems across a range of industries.

As an illustration, FPT Software recently unveiled Maia, a unique Generative AI concept that is an agent that is specifically designed to help with extremely complex processes. Its goal is to increase productivity and make the development process more pleasurable and rewarding by acting as an engineer’s and developer’s co-pilot and coworker.

Maia will automate code documentation and co-programming, and provide guidance and domain expertise through its conversational interface. In order to ensure accuracy, Maia is also expected to analyze the complexity of legacy systems, provide test cases during the testing phase, generate missing documentation, and recommend appropriate modern architecture during the assessment phase.

QUALIFICATIONS TO ASK AN AI PARTNER

Although adopting AI has many advantages, maximizing those benefits calls for in-depth knowledge. When strategically partnering with an AI partner, companies should take into account three important factors:

Proven Skills and Expertise:

One of the most important things is to understand how to best take advantage of the opportunities presented by AI on a sector-by-sector basis. The AI partner must exhibit technical expertise, industry-specific knowledge, and prior accomplishments.

Training and Support:

To ensure that your team can independently manage and comprehend the implemented AI systems, your ideal AI partner should provide extensive training programs.

Working together to unlock AI’s potential:

Successful AI integration depends heavily on effective collaboration. The partner will be able to help with scalability, seamless integration with current systems, and customization of solutions to the unique business outcomes for the organization.

In order to foster innovation and the useful application of AI, the IT service provider FPT Software is presently implementing an ecosystem and partnership approach that spans a number of domains, from responsible AI to research and solution development.

In particular, FPT Software and Mila, a Canadian research institute that specializes in machine learning, have formed an AI Residency plan wherein resident researchers engage in real-world projects and work closely with top academics to assist organizations in developing a suite of products supported by a robust R&D foundation.

Both organizations have been effective in promoting responsible AI as a means of advancing social progress, human development, and sustainable growth. With FPT Software’s recent membership in the AI Alliance, a significant global initiative formed by leading companies like IBM and Meta, this agenda is further strengthened.

To create solutions with a significant impact, the IT company collaborates with innovative partners. Highlights include its partnership with Silicon Valley’s Aitomatic to expand the provision of advanced industrial AI solutions, integrating Open Source Small Specialist Agent (OpenSSA) technology, or its collaboration with Landing AI to develop a computer vision quality inspection solution with visual prompting to shorten labeling time from months to minutes.

FINAL SUMMARY

By reducing the possibility of human error, generative AI enables businesses to expedite their digital transformation and enable every member of their workforce to interact with technology.

A partner-led approach is essential for navigating potential AI challenges and successfully utilizing AI. The outcomes of this next wave of transformation will be astounding when paired with the right partner.

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Microsoft Expands Copilot Voice and Think Deeper

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Microsoft Expands Copilot Voice and Think Deeper

Microsoft is taking a major step forward by offering unlimited access to Copilot Voice and Think Deeper, marking two years since the AI-powered Copilot was first integrated into Bing search. This update comes shortly after the tech giant revamped its Copilot Pro subscription and bundled advanced AI features into Microsoft 365.

What’s Changing?

Microsoft remains committed to its $20 per month Copilot Pro plan, ensuring that subscribers continue to enjoy premium benefits. According to the company, Copilot Pro users will receive:

  • Preferred access to the latest AI models during peak hours.
  • Early access to experimental AI features, with more updates expected soon.
  • Extended use of Copilot within popular Microsoft 365 apps like Word, Excel, and PowerPoint.

The Impact on Users

This move signals Microsoft’s dedication to enhancing AI-driven productivity tools. By expanding access to Copilot’s powerful features, users can expect improved efficiency, smarter assistance, and seamless integration across Microsoft’s ecosystem.

As AI technology continues to evolve, Microsoft is positioning itself at the forefront of innovation, ensuring both casual users and professionals can leverage the best AI tools available.

Stay tuned for further updates as Microsoft rolls out more enhancements to its AI offerings.

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Google Launches Free AI Coding Tool for Individual Developers

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Google Launches Free AI Coding Tool for Individual Developers

Google has introduced a free version of Gemini Code Assistant, its AI-powered coding assistant, for solo developers worldwide. The tool, previously available only to enterprise users, is now in public preview, making advanced AI-assisted coding accessible to students, freelancers, hobbyists, and startups.

More Features, Fewer Limits

Unlike competing tools such as GitHub Copilot, which limits free users to 2,000 code completions per month, Google is offering up to 180,000 code completions—a significantly higher cap designed to accommodate even the most active developers.

“Now anyone can easily learn, generate code snippets, debug, and modify applications without switching between multiple windows,” said Ryan J. Salva, Google’s senior director of product management.

AI-Powered Coding Assistance

Gemini Code Assist for individuals is powered by Google’s Gemini 2.0 AI model and offers:
Auto-completion of code while typing
Generation of entire code blocks based on prompts
Debugging assistance via an interactive chatbot

The tool integrates with popular developer environments like Visual Studio Code, GitHub, and JetBrains, supporting a wide range of programming languages. Developers can use natural language prompts, such as:
Create an HTML form with fields for name, email, and message, plus a submit button.”

With support for 38 programming languages and a 128,000-token memory for processing complex prompts, Gemini Code Assist provides a robust AI-driven coding experience.

Enterprise Features Still Require a Subscription

While the free tier is generous, advanced features like productivity analytics, Google Cloud integrations, and custom AI tuning remain exclusive to paid Standard and Enterprise plans.

With this move, Google aims to compete more aggressively in the AI coding assistant market, offering developers a powerful and unrestricted alternative to existing tools.

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

Elon Musk’s artificial intelligence company xAI has unveiled its latest chatbot, Grok-3, which aims to compete with leading AI models such as OpenAI’s ChatGPT and China’s DeepSeek. Grok-3 is now available to Premium+ subscribers on Musk’s social media platform x (formerly Twitter) and is also available through xAI’s mobile app and the new SuperGrok subscription tier on Grok.com.

Advanced capabilities and performance

Grok-3 has ten times the computing power of its predecessor, Grok-2. Initial tests show that Grok-3 outperforms models from OpenAI, Google, and DeepSeek, particularly in areas such as math, science, and coding. The chatbot features advanced reasoning features capable of decomposing complex questions into manageable tasks. Users can interact with Grok-3 in two different ways: “Think,” which performs step-by-step reasoning, and “Big Brain,” which is designed for more difficult tasks.

Strategic Investments and Infrastructure

To support the development of Grok-3, xAI has made major investments in its supercomputer cluster, Colossus, which is currently the largest globally. This infrastructure underscores the company’s commitment to advancing AI technology and maintaining a competitive edge in the industry.

New Offerings and Future Plans

Along with Grok-3, xAI has also introduced a logic-based chatbot called DeepSearch, designed to enhance research, brainstorming, and data analysis tasks. This tool aims to provide users with more insightful and relevant information. Looking to the future, xAI plans to release Grok-2 as an open-source model, encouraging community participation and further development. Additionally, upcoming improvements for Grok-3 include a synthesized voice feature, which aims to improve user interaction and accessibility.

Market position and competition

The launch of Grok-3 positions xAI as a major competitor in the AI ​​chatbot market, directly challenging established models from OpenAI and emerging competitors such as DeepSeek. While Grok-3’s performance claims are yet to be independently verified, early indications suggest it could have a significant impact on the AI ​​landscape. xAI is actively seeking $10 billion in investment from major companies, demonstrating its strong belief in their technological advancements and market potential.

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