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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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Techno and IBM Watsonx is a New Era of Reliable AI Announced by Mahindra

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Together with IBM, Tech Mahindra, a global leader in digital solutions and technology consulting, is assisting organizations in accelerating the adoption of generative AI in a sustainable manner around the globe.

This partnership combines IBM’s Watsonx AI and data platform with AI Assistants with Tech Mahindra’s array of AI products, TechM amplifAI0->∞.

Customers may now access a range of new generative AI services, frameworks, and solution architectures by combining Tech Mahindra’s AI engineering and consulting talents with IBM Watsonx’s capabilities. This makes it possible to create AI programs that let businesses automate operations using their reliable data. Additionally, it gives companies a foundation on which to build reliable AI models, encourages explainability to help control bias and risk, and permits scalable AI deployment in on-premises and hybrid cloud settings.

Chief digital services officer of Tech Mahindra Kunal Purohit says that in order to revitalize businesses, organizations should prioritize responsible AI practices and the integration of generative AI technology.

“Our partnership with IBM can facilitate digital transformation for businesses, the uptake of GenAI, modernization, and ultimately business expansion for our international clientele,” Purohit continued.

Tech Mahindra has created an operational virtual Watsonx Center of Excellence (CoE) to better improve business skills in AI. Using their combined competencies to produce unique offers and solutions, this CoE serves as a co-innovation center, with a dedicated team tasked with optimizing synergies between the two organizations.

The collaborative offerings and solutions developed through this partnership could help enterprises achieve their goals of constructing machine learning models using open-source frameworks while also enabling them to scale and accelerate the impact of generative AI. These AI-driven solutions have the potential to aid organisations enhance efficiency and productivity responsibly.

IBM Ecosystem General Manager Kate Woolley emphasized the potential of the partnership and added that, when generative AI is developed on a basis of explainability, openness, and trust, it may act as a catalyst for innovation and open up new market opportunities.

“Our partnership with Tech Mahindra is anticipated to broaden Watsonx’s user base and enable even more clients to develop reliable AI as we strive to integrate our know-how and technology to support enterprise use cases like digital labor, code modernization, and customer support,” stated Woolley.

This partnership is in line with Tech Mahindra’s ongoing efforts to revolutionize businesses through cutting-edge AI-led products and services. Some of their most recent offerings include Evangelize Pair Programming, Imaging amplifAIer, Operations amplifAIer, Email amplifAIer, Enterprise Knowledge Search, and Generative AI Studio.

The two businesses had previously worked together, which is noteworthy. On the company’s Singapore site, Tech Mahindra had announced earlier this year that it would be opening a Synergy Lounge in partnership with IBM. For APAC organizations, this lounge aims to expedite the adoption of digital. Technology like as artificial intelligence (AI), intelligent automation, edge computing, 5G, hybrid cloud, and cybersecurity can all be effectively implemented and utilized with its assistance.

In addition to Tech Mahindra, IBM Watsonx has been applied in other partnerships to expedite the application of generative artificial intelligence. Early in the year, the GSMA and IBM also announced a new cooperation to develop the GSMA Foundry Generative AI program and GSMA Advance’s AI Training program, respectively, to boost the use and capabilities of generative AI in the telecom industry.

The program is also available digitally, and it covers the technical underpinnings of generative AI in addition to its business strategy. For architects and developers looking for in-depth, useful expertise on generative AI, this program employs IBM Watsonx to deliver hands-on training.

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OpenAI Enhances ChatGPT with Google Drive Integration, Streamlined File Access, and Advanced Analytics

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A major update to ChatGPT was released by OpenAI, enabling users to analyze data straight from OneDrive and Google Drive without having to download and upload. Over the following few weeks, this new feature—which is only available to ChatGPT subscribers who have paid—will be gradually added to the service with the goal of streamlining data analysis and saving customers time and trouble.

According to a blog post by OpenAI, “ChatGPT is now more connected to your data than ever before.” “With the integration of Google Drive and OneDrive, you can directly access and analyse your files – from Excel spreadsheets to PowerPoint presentations – within the chatbot.”

According to OpenAI, ChatGPT can analyze files “more quickly” because to this direct access, which is available to ChatGPT Plus, Enterprise, and Teams users. However, GPT-4o, the improved version of GPT-4 that powers ChatGPT’s premium tiers, is presently the only way to access the additional data analytics tools.

OpenAI has enhanced ChatGPT’s comprehension and manipulation of data, going beyond simple file access. Now, a variety of data-related operations may be carried out by users using natural language commands, such as:

  • Executing analytics-related Python code
  • Combining and streamlining datasets
  • Producing graphs with data from files

Additionally, ChatGPT’s charting capabilities have improved significantly. Now, users may expand their views, engage with the created tables and charts, and personalize the visualisations by altering the colors, posing queries about particular cells, and more. With the exception of several chart types, the chatbot can now create static versions of interactive bar, line, pie, and scatter plot charts.

Additionally, OpenAI emphasized the security of user data. Users of ChatGPT Teams and Enterprise will not have their data used to train AI models, and ChatGPT Plus members have the option to disable this capability.

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India is the Most Adopting Country in Asia Pacific for Generative AI

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India’s use of Generative AI (GenAI) is demonstrated in a research produced by Deloitte titled Generative AI in Asia Pacific: Young Employees Lead as Employers Play Catch-Up. Out of 13 nations, India ranks first in terms of the use and adoption of GenAI, according to a poll conducted among 11,900 people in Asia Pacific. It is astounding to learn that 83% of Indian workers and 93% of students actively use this technology.

India has a good adoption rate of GenAI, which is driven by youthful, tech-savvy workers known as “Generation AI.” These young employees are increasing productivity, learning new skills, managing workloads, and saving time by utilizing GenAI. Employers are facing new opportunities and problems as a result of this shift.

The study estimates that within the following five years, everyday utilization of GenAI would rise by 182%. The belief that GenAI can increase the Asia-Pacific region’s contribution to the global economy is reflected in this growth. Eighty-three percent of Indians think it improves social results, and about seventy-five percent think it has economic benefits.

Important Discoveries:

  • Though only 50% of workers and students in Asia Pacific think their bosses are aware of their use, they are driving the GenAI revolution.
  • Seventeen percent of Asia Pacific’s working hours, or around 1.1 billion hours a year, could be impacted by GenAI.
  • More rapidly than industrialized economies, developing nations are implementing GenAI at a rate of thirty percent.
  • Around 6.3 hours are saved weekly by GenAI users in Asia Pacific, while 7.85 hours are saved by Indian users.
  • Work-life balance has been enhanced, according to 41% of time-saving GenAI users.
  • As per the staff of these businesses, seventy-five percent of them have not adopted GenAI yet.

The AI and data capability leader for Deloitte Asia Pacific, Chris Lewin, stated, “One of the most exciting things about working with GenAI is that it is happening to everything, everywhere, all at once, across the globe.” “Over the past twelve months, we have observed that teams in Italy and Ireland can very immediately relate to the issues that our clients in Indonesia or India are facing.” A crucial insight is that while the swift integration of AI won’t result in the immediate loss of jobs, companies that don’t adjust will bear the consequences. Competing companies that provide AI solutions that have the potential to completely change the nature of modern work will attract their employees, especially fresh talent.

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