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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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The Debut of Clever.AI was Revealed by CleverTap

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Clever.AI, the AI engine of CleverTap, one of the top all-in-one platforms for customer engagement and retention, was launched today. Through Clever.AI, CleverTap aims to provide brands with the next generation of AI capabilities needed to develop a human-like understanding of their customers and effectively deliver personalized experiences that increase customer lifetime value.

Brilliant.Predictive, generative, and prescriptive AI are the three main pillars upon which AI is based. Brilliant.These three pillars work together to revolutionize consumer engagement strategies and create more intelligent and effective customer interactions thanks to artificial intelligence (AI).

Clever.AI Gives Brands the Ability to Become:

Perceptive: Equipped with Predictive AI powers, it predicts exact business results, assisting brands in anticipating consumer demands. Astute.The TesseractDBTM, a proprietary technology from CleverTap, powers AI insights by ensuring data granularity over an extended lookback period, improving prediction accuracy, and empowering brands to make well-informed decisions that boost marketing ROI.

Empathetic: Cleverly advancing GenAI.AI creates content that speaks to people on a human level by fusing creativity and emotional intelligence. By using empathy, brands can increase conversion rates and provide hyper-personalized experiences for customers.

Actionable: By utilizing Prescriptive AI capabilities, it helps brands instantly determine the best engagement strategies to maximize conversions throughout the customer journey.

Burger King’s Digital Product Manager, Peter Takacs, gave it a 10 for usability and a wide range of potential applications. “Our marketing campaigns were improved by our ability to quickly and easily experiment with different options before settling on the best one.” It ushers in a new age of ongoing experimentation.

Chief Product Officer and co-founder of CleverTap Anand Jain stated, “We’re excited to introduce Clever.AI is proof of our commitment over the past few years to setting the standard for early adoption of cutting-edge technology to revolutionize customer interaction. CleverTap’s All-in-One engagement platform will continue to be innovated by Clever.As a result of deeper persona profiling and advanced product analytics, AI is improving its predictive precision and strengthening its capacity to recommend intelligent customer experiences. This enables brands to create more successful campaigns that are outcome-driven and highly personalized for each and every customer interaction.

Brands have already seen an increase in conversion with noticeably greater operational efficiency thanks to Clever.AI. They saw a 3x improvement in click-through rates (CTRs), a 36% increase in conversion rates, and a 35% increase in operational efficiency. They also saw an increase in other metrics like purchases and average order values (AOVs). Additionally, by streamlining content creation, experimentation at scale, and campaign roll-outs, Clever.AI improved operational efficiency. Prominent companies like TouchnGo, Swiggy, and Burger King have benefited from the efficiency gains made by Clever.AI in their campaigns.

At its Spring Release ’24 event, which takes place from May 6–9, CleverTap will present its new AI capabilities through a series of stimulating sessions on how AI can improve the intelligence, effectiveness, and engagement of campaigns for brands.

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Oracle Introduces Database 23ai, Adding Artificial Intelligence to Enterprise Data

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Oracle has released Oracle Database 23ai, a new database technology that incorporates artificial intelligence. The release, which is now as a suite of cloud services, is concentrated on optimizing application development, supporting crucial workloads, and simplifying the use of AI.

One of its primary features, Oracle AI Vector Search, simplifies data search by letting users look up documents, photos, and relational data using conceptual content rather than precise keywords or data values.

AI Vector Search removes the need to transfer or duplicate data in order to process AI by enabling natural language queries on confidential business information stored in Oracle databases. The integration of AI in real-time with databases improves operational effectiveness, security, and efficiency.

Oracle Database 23ai is accessible via Oracle Cloud Infrastructure (OCI) on Oracle Database@Azure, Oracle Exadata Database Service, Oracle Exadata Cloud@Customer, and Oracle Base Database Service.

Oracle’s Executive Vice President of Mission-Critical Database Technologies, Juan Loaiza, emphasized the importance of Oracle Database 23ai and called it a revolutionary tool for multinational corporations.

“Building intelligent apps, increasing developer productivity, and managing mission-critical workloads is made simple for developers and data professionals by AI Vector Search in conjunction with new unified development paradigms and mission-critical capabilities,” the speaker stated.

Three major improvements have been made to Oracle Database 23ai: OCI GoldenGate 23ai for real-time data replication across heterogeneous stores, AI Vector Search for semantic search, and Oracle Exadata System Software 24ai for accelerated AI processing. By utilizing JSON and graph data models, mission-critical data security, and availability are guaranteed, and developers are empowered to create intelligent apps.

Customers may anticipate higher data security, more rapid enterprise application innovation, and increased operational efficiency with Oracle’s ongoing developments in AI-integrated databases. A strong foundation for companies embracing AI technologies is promised by Oracle Database 23ai, which marks a substantial advancement in AI-driven database systems.

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Google Introduces Gemini AI on Android Devices for Singapore Users

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Singapore is among the main beneficiaries of Google’s Gemini Mobile App, which enhances the AI capabilities of Android-based smartphones. With Gemini AI now supporting more languages and regions, this rollout is a part of Google’s larger strategy to make its advanced AI available to a global audience.

The Gemini app is now available for direct download or Google Assistant access for Android users in Singapore. The app works with Android phones running Android 12 or later and having at least 4 GB of RAM. On iOS devices running iOS 16 or later, users can interact with Gemini through a dedicated tab in the Google app.

With Gemini AI’s flexible and intuitive design, users can get help by speaking, typing, or uploading an image. To illustrate Google’s goal of developing a truly conversational and multimodal AI assistant, you could, for example, take a picture of a flat tire and receive detailed instructions on how to fix it, or ask for assistance writing a thank-you note.

Google is incorporating Gemini more thoroughly into its ecosystem in addition to the stand-alone app. With the help of new extensions, the AI can now effortlessly search through a wide range of Google services, including YouTube, Gmail, Docs, Drive, Maps, and even Google Flights and Hotels, to offer thorough support. Gemini’s ability to combine travel dates, lodging, and activities into a single itinerary based on user emails and preferences makes it an especially helpful tool for complicated tasks like organizing travel plans.

Additionally, Google is making using Gemini on desktops easier. By typing “@gemini” after their question, users can start direct inquiries from the address bar of the Chrome browser. This results in a rapid launch of the gemini.google.com page, which further integrates Gemini’s AI capabilities across platforms and shows answers right away.

Google’s latest developments improve the daily digital experience for users in Singapore and possibly globally, while also advocating for increased accessibility to AI tools.

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