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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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Threads uses a more sophisticated search to compete with Bluesky

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Instagram Threads, a rival to Meta’s X, will have an enhanced search experience, the firm said Monday. The app, which is based on Instagram’s social graph and provides a Meta-run substitute for Elon Musk’s X, is introducing a new feature that lets users search for certain posts by date ranges and user profiles.

Compared to X’s advanced search, which now allows users to refine queries by language, keywords, exact phrases, excluded terms, hashtags, and more, this is less thorough. However, it does make it simpler for users of Threads to find particular messages. Additionally, it will make Threads’ search more comparable to Bluesky’s, which also lets users use sophisticated queries to restrict searches by user profiles, date ranges, and other criteria. However, not all of the filtering options are yet visible in the Bluesky app’s user interface.

In order to counter the danger posed by social networking startup Bluesky, which has quickly gained traction as another X competitor, Meta has started launching new features in quick succession in recent days. Bluesky had more than 9 million users in September, but in the weeks after the U.S. elections, users left X due to Elon Musk’s political views and other policy changes, including plans to alter the way blocks operate and let AI companies train on X user data. According to Bluesky, there are currently around 24 million users.

Meta’s Threads introduced new features to counter Bluesky’s potential, such as an improved algorithm, a design modification that makes switching between feeds easier, and the option for users to select their own default feed. Additionally, it was observed creating Starter Packs, its own version of Bluesky’s user-curated recommendation lists.

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Apple’s own 5G modem-equipped iPhone SE 4 is “confirmed” to launch in March

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Tom O’Malley, an analyst at Barclays, recently visited Asia with his colleagues to speak with suppliers and makers of electronics. The analysts said they had “confirmed” that a fourth-generation iPhone SE with an Apple-designed 5G modem is scheduled to launch near the end of the first quarter next year in a research note they released this week that outlines the main conclusions from the trip. That timeline implies that the next iPhone SE will be unveiled in March, similar to when the present model was unveiled in 2022, in keeping with earlier rumors.

The rumored features of the fourth-generation iPhone SE include a 6.1-inch OLED display, Face ID, a newer A-series chip, a USB-C port, a single 48-megapixel rear camera, 8GB of RAM to enable Apple Intelligence support, and the previously mentioned Apple-designed 5G modem. The SE is anticipated to have a similar design to the base iPhone 14.

Since 2018, Apple is said to have been developing its own 5G modem for iPhones, a move that will let it lessen and eventually do away with its reliance on Qualcomm. With Qualcomm’s 5G modem supply arrangement for iPhone launches extended through 2026 earlier this year, Apple still has plenty of time to finish switching to its own modem. In addition to the fourth-generation iPhone SE, Apple analyst Ming-Chi Kuo earlier stated that the so-called “iPhone 17 Air” would come with a 5G modem that was created by Apple.

Whether Apple’s initial 5G modem would offer any advantages to consumers over Qualcomm’s modems, such quicker speeds, is uncertain.

Qualcomm was sued by Apple in 2017 for anticompetitive behavior and $1 billion in unpaid royalties. In 2019, Apple purchased the majority of Intel’s smartphone modem business after the two firms reached a settlement in the dispute. Apple was able to support its development by acquiring a portfolio of patents relating to cellular technology. It appears that we will eventually be able to enjoy the results of our effort in four more months.

On March 8, 2022, Apple made the announcement of the third-generation iPhone SE online. With antiquated features like a Touch ID button, a Lightning port, and large bezels surrounding the screen, the handset resembles the iPhone 8. The iPhone SE presently retails for $429 in the United States, but the new model may see a price increase of at least a little.

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Google is said to be discontinuing the Pixel Tablet 2 and may be leaving the market once more

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Google terminated the development of the Pixel Tablet 3 yesterday, according to Android Headlines, even before a second-generation model was announced. The second-generation Pixel Tablet has actually been canceled, according to the report. This means that the gadget that was released last year will likely be a one-off, and Google is abandoning the tablet market for the second time in just over five years.

If accurate, the report indicates that Google has determined that it is not worth investing more money in a follow-up because of the dismal sales of the Pixel Tablet. Rumors of a keyboard accessory and more functionality for the now-defunct project surfaced as recently as last week.

It’s important to keep in mind that Google’s Nest subsidiary may abandon its plans for large-screen products in favor of developing technologies like the Nest Hub and Hub Max rather than standalone tablets.

Google has always had difficulty making a significant impact in the tablet market and creating a competitor that can match Apple’s iPad in terms of sales and general performance, not helped in the least by its inconsistent approach. Even though the hardware was good, it never really fought back after getting off to a promising start with the Nexus 7 eons ago. Another problem that has hampered Google’s efforts is that Android significantly trails iPadOS in terms of the quantity of third-party apps that are tablet-optimized.

After the Pixel Slate received tremendously unfavorable reviews, the firm first declared that it was finished producing tablets in 2019. Two tablets that were still in development at the time were discarded.

By 2022, however, Google had altered its mind and declared that a tablet was being developed by its Pixel hardware team. The $499 Pixel Tablet was the final version of the gadget, which came with a speaker dock that the tablet could magnetically connect to. (Google would subsequently charge $399 for the tablet alone.)

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