US Growth Boosted to 2.4%: Can It Withstand Trump’s Trade War?

US Growth Boosted to 2.4%: Can It Withstand Trump’s Trade War?

The United States’ GDP increased by 2.4% in the final quarter of 2024, marginally surpassing the initial estimate of 2.3%.

However, it remains uncertain if the US will be able to maintain steady economic expansion as President Donald Trump engages in trade conflicts, reduces the size of the federal workforce, and pledges large-scale deportations of immigrants who are working unlawfully within the country.

The Commerce Department stated that the GDP growth slowed down to a rate of 3.1% during October-December 2024 compared to the previous quarter.

Throughout the entire year of 2024, the economy, being the largest globally, expanded by 2.8%, which was slightly less than the 2.9% growth recorded in 2023.

Consumer expenditure increased at a rate of 4%, up from 3.7% during the third quarter of 2023. However, business investments declined, primarily due to an 8.7% decrease in equipment purchases.

A decline in business stockpiles reduced the fourth-quarter GDP growth by 0.84 percentage points.

A specific segment of the GDP data reflecting the economy’s fundamental resilience increased at a robust 2.9% annual pace in the final quarter, slightly down from the government’s initial projection of 3.2%, and below the 3.4% growth recorded in the preceding quarter.

This classification encompasses household expenditures and individual investments yet omits fluctuating elements such as export figures, stock levels, and governmental outlays.

The report released on Wednesday indicated persistent inflationary pressures towards the close of 2024. The Federal Reserve’s preferred measure of inflation, the Personal Consumption Expenditures (PCE) Price Index, saw an uptick at an annual pace of 2.4%, marking an increase from 1.5% in the previous quarter and exceeding the Federal Reserve’s targeted figure of 2%.

excluding fluctuating food and energy costs, often referred to as core PC inflation, stood at 2.6%, up from 2.2% in the previous quarter.

The government released its third and final assessment of fourth-quarter GDP on Thursday.

The forecast has become more overcast. Trump’s choice to impose tariffs on various goods, including a 25% duty on imported vehicles revealed on Wednesday, might lead to increased inflation and disturb investments, thereby impeding economic expansion.

Red Hat Unleashes Enterprise AI Power Across Hybrid CloudsWith Red Hat AI

Red Hat Unleashes Enterprise AI Power Across Hybrid CloudsWith Red Hat AI

NewsVoir

Raleigh (North Carolina), USA — On March 27, Red Hat, Inc., which stands as the global leader in providing open-source solutions, unveiled new enhancements to their product line called Red Hat AI. This suite is tailored to expedite both the creation and implementation of artificial intelligence technologies throughout various hybrid cloud settings. The updated offering from Red Hat includes an advanced AI platform aimed at boosting productivity during model training and inference stages. It promises greater operational efficiency, user-friendly processes, and adaptability to be deployed seamlessly across multiple hybrid cloud infrastructures.

Despite efforts from companies to minimize expenses associated with implementing extensive large language models (LLMs) to handle an increasing range of applications, these organizations continue to grapple with the difficulty of merging such models with their exclusive datasets that fuel these applications. They must ensure accessibility to this information regardless of where it resides—be it within a data center, through multiple public cloud platforms, or out at the network’s periphery.

Red Hat AI encompasses both Red Hat OpenShift AI and Red Hat Enterprise Linux AI (RHEL AI). It tackles these issues by offering an enterprise-level AI platform designed to help users implement more effective and streamlined models. These models are tailored using specific business-related data and can subsequently be deployed across various hybrid clouds for extensive use in training as well as inference processes on multiple high-performance computing setups.

Red Hat OpenShift AI

Red Hat OpenShift AI offers a comprehensive AI platform designed to handle the entire lifecycle of both predictive and generative AI (Gen AI) processes across various hybrid clouds. This includes functionalities like machine learning operations (MLOps) and LLMOps features. It equips you with the means to develop predictive models as well as fine-tune Gen AI models. Additionally, it comes equipped with user-friendly tools aimed at streamlining all aspects of AI model management—from initial data science tasks through pipeline development and ongoing model monitoring right up to regulatory compliance and beyond.

The newest version of Red Hat OpenShift AI, Release 2.18, introduces various enhancements and functionalities aimed at bolstering Red Hat AI’s objective to deliver highly refined and resource-efficient AI models across hybrid clouds. Notable additions encompass:

* Distributed Serving: Offered via the vLLM inference server, this approach allows IT teams to divide model serving tasks among several graphics processing units (GPUs). By doing so, it reduces strain on individual servers, accelerates both training and tuning processes, optimizes computational resource usage, and facilitates service distribution across various nodes for AI models.

• A comprehensive model refinement process: This latest addition leverages InstructLab along with Red Hat OpenShift AI data science workflows to ease the adjustment of Large Language Models (LLMs). It enhances scalability, efficiency, and auditability within extensive operational settings and provides control via the Red Hat OpenShift AI interface.

* AI Safety Measures: The latest version of Red Hat OpenShift AI 2.18 enhances LLM precision, efficiency, response time, and clarity with a new feature called AI Guardrails. This tech-preview allows monitoring and bolstering protection for user inputs as well as model outcomes. AI Guardrails provides extra checkpoints to assist IT staff in recognizing and addressing possibly offensive, harmful, or inappropriate content, sensitive personal details, proprietary info, or other restricted material according to company guidelines.

* Model Evaluation: Leveraging the language model evaluation (lm-eval) tool offers crucial insights into the model’s overall effectiveness. This feature allows data scientists to assess how well their large language models perform across multiple tasks such as logical reasoning, mathematical problem-solving, and handling adversarial inputs in natural language processing. In turn, this aids in developing smarter, more interactive, and personalized artificial intelligence systems.

RHEL AI

As part of the Red Hat AI suite, RHEL AI serves as a foundational platform for developing, testing, and deploying large language models (LLMs) to support business applications. It offers customers access to Granite LLMs along with InstructLab model alignment tools. These resources come bundled as a bootable Red Hat Enterprise Linux server image, enabling deployment throughout various environments within the hybrid cloud infrastructure.

Introduced in February 2025, RHEL version 1.4 brought multiple new improvements such as:

* Support has been added for the Granite 3.1 8B model as part of the newest inclusion into the open-source licensed Granite model series. This edition introduces multilingual capabilities for inference and allows for tailored taxonomies and knowledge personalization (in developer preview). Additionally, it features a 128K token context window aimed at enhancing summary outcomes and performance in retrieval-augmented generation (RAG) processes.

* A fresh graphical user interface designed for skill and knowledge submissions, offered as part of a developer preview, aimed at streamlining data intake and segmentation along with enabling users to incorporate their personal skills and inputs into an AI model.

* Document Knowledge-bench (DK-bench) designed to facilitate simpler comparisons between AI models that have been fine-tuned using pertinent private data and their respective base models without tuning.

Red Hat AI InstructLab on IBM Cloud

More businesses are seeking AI solutions that emphasize precision and data protection, all while minimizing expenses and intricacies. The Red Hat AI InstructLab offered as a cloud-based service via IBM Cloud aims to streamline processes, expand capabilities, and enhance security measures for both training and deploying AI models. This makes it easier to fine-tune the InstructLab models, enabling companies to create highly effective systems customized to their specific requirements without relinquishing control over their information.

No-cost AI Foundations training

Artificial intelligence represents a revolutionary chance that is reshaping enterprise functioning and competition methods. In order to assist businesses navigate this ever-changing environment, Red Hat has introduced free-of-charge online training courses under their AI Foundations program. They offer two distinct AI certification programs tailored for seasoned executives as well as those new to AI, aimed at educating individuals across various skill levels about leveraging AI to revolutionize operational processes, expedite decision making, and foster innovation. These educational resources instruct participants on effectively utilizing their understanding within the scope of Red Hat’s AI solutions.

Availability

Red Hat OpenShift AI 2.18 and Red Hat Enterprise Linux AI 1.4 are now widely accessible. For details about extra functionalities, enhancements, bug corrections, and instructions on upgrading to the most recent release of Red Hat OpenShift AI, please visit their website for more insights.
here
The most recent version of RHEL AI can be located.
here.

The upcoming release of Red Hat AI InstructLab on IBM Cloud is scheduled for shortly. Customers can currently access AI Foundations training provided by Red Hat.

Supporting Quotes

Joe Fernandes, Vice President and General Manager of the AI Business Unit at Red Hat, stated, “As organizations increasingly adopt generative AI solutions into production and operate them at larger scales, managing costs becomes critical. Additionally, companies must tackle issues related to merging AI models with internal corporate information and ensure deployment flexibility irrespective of where their data resides. To help businesses overcome these hurdles, Red Hat’s AI platform supports deploying optimized, custom-trained models directly onto company infrastructure—whether on-site, in public clouds, or at the network edges.”

Regis Lesbarreres, who serves as the advanced analytics and AI innovation manager at Airbus Helicopters within their digital innovation division, stated: “When we embarked on our AI initiative, Airbus Helicopters aimed to incorporate AI into our current infrastructure, minimize unauthorized IT activities, bring together our data science team onto one unified AI platform, and streamline expenses efficiently across various operations. By utilizing Red Hat OpenShift AI, we have successfully achieved each of these targets, leading to our initial practical application of AI technology. The strategic outlook of Red Hat regarding AI matches perfectly with our corporate aims, enabling us to reach our objectives while ensuring adaptability, ease of access, and clear visibility.”

Javier Olaizola Casin, Worldwide Managing Partner,
Hybrid Cloud
And Data, IBM Consulting states, “Enterprises are progressively leveraging AI to revamp fundamental business operations, requiring adaptable, budget-friendly, and reliable AI solutions aligned with trusted corporate data to address specific demands. Red Hat AI offers the uniformity, dependability, and efficiency needed for enterprises to develop and release AI models and apps throughout mixed-cloud settings. By integrating IBM Consulting’s sector-specific knowledge and technological proficiency with Red Hat’s AI tools, we assist our clients in maximizing returns on their tech expenditures.”

Torsten Volks, Principal Analyst of Application Modernization at ESG, states: “Top-performing companies utilize AI-powered, data-focused decision-making across various teams and departments. Consequently, the capacity to swiftly and economically create, launch, incorporate, expand, and oversee AI functionalities throughout the organization emerges as a vital element for success. Developing such proficiency necessitates an adaptable and extensive AI infrastructure that guarantees smooth interaction with current systems and procedures, enhances operational flexibility, and maintains ongoing oversight. Empowering employees and clients to leverage AI benefits promptly and extensively remains essential for sustained corporate achievement.”

Anand Swamy, Executive Vice President and Global Head of Ecosystems at HCLTech, states, “To fully harness the power of generative AI, companies must focus on setting up adaptable and nimble infrastructures. Through integrating the comprehensive features of Red Hat AI—which includes both RHEL AI and Red Hat OpenShift AI—to provide a complete AI app platform, along with HCLTech’s advanced AI knowledge and cognitive infrastructure services—a component of HCLTech AI Foundry—clients gain a seamless route for tapping into AI-driven advancements. This helps address typical hurdles like ensuring data safety, expanding AI tasks efficiently, and reducing infrastructure expenses.”

Additional Resources

* Learn more about
Red Hat AI

* Explore
Red Hat’s AI portfolio

* Read more about
Red Hat AI training

Red Hat stands as the premier supplier of open-source enterprise software solutions globally, leveraging a collaborative community model to offer robust and high-performance Linux systems, hybrid clouds, containers, and Kubernetes technologies. They assist clients in merging new and current IT applications, developing cloud-based programs, adopting their top-tier operating system, and streamlining, securing, and managing intricate ecosystems. Their acclaimed support, education, and advisory services further cement Red Hat’s position.
reliable consultant for top corporations
As a strategic collaborator with cloud service providers, systems integrators, software suppliers, clients, and open-source groups, Red Hat assists enterprises in getting ready for the digital future.

Forward-Looking Statements

Apart from the historical data and discussions included here, this press release might include forward-looking statements under the Private Securities Litigation Reform Act of 1995. Such predictions rely on the company’s present expectations about its future operational and economic outcomes. Various elements can lead to real outcomes differing significantly. Each forward-looking statement presented today reflects solely the views at the time it was shared; however, unless mandated by legislation, the firm does not commit itself to updating or modifying these projections in light of new developments.

(ADVERTORIAL DISCLOSURE: The aforementioned press release has been supplied by
NewsVoir
ANI shall not bear any responsibility for the content thereof.

Provided by Syndigate Media Inc. (
Syndigate.info
).

Kenyan Man’s Bid to Safaricom Over Reverse Call Idea Rejected by Supreme Court

Kenyan Man’s Bid to Safaricom Over Reverse Call Idea Rejected by Supreme Court

The High Court at Nairobi’s Milimani Commercial Courts rejected a case brought forth by Davidson Ivusa against Safaricom Limited.

Ivusa alleged that Safaricom took his groundbreaking “Jichomoe” idea, claiming this was the inspiration behind their popular Reverse Call Feature.

The ruling, issued by Judge F.G. Mugambi on February 27, 2025, concluded a legal dispute that started in April 2021.

The lawsuit filed by the plaintiff against Safaricom

Davidson Ivusa, the claimant, initiated lawsuit number Civil Case E562 of 2021 on April 20, 2021. He sought various forms of relief against Safaricom, such as an order to prevent the firm from utilizing or promoting its Reverse Call service. Additionally, he requested compensation for breaches of confidence, misrepresentation, and lost commercial prospects.

Ivusa asserted that he presented a submission to Safaricom on May 10, 2010, under the title “Jichomoe.” He explained this as an answer designed to help Safaricom subscribers place calls irrespective of their economic limitations.

He claimed that the firm maintained his concept under examination for an extended period, continually assuring him of their consideration, before eventually debuting a remarkably comparable feature, the Safaricom Reverse Call Service, on June 18, 2019, without including or consulting him.

Ivusa contended that this was a violation of trust and charged Safaricom with appropriating his idea and presenting it as their own creation.

Safaricom’s defense

In their defense statement submitted on January 17, 2022, Safaricom refuted Ivusa’s claims, stating that its Reverse Call Service was a distinct invention created in June 2018 and introduced on April 26, 2019.

The firm stated that the service was created to cater to the requirements of subscribers who couldn’t make calls because they lacked sufficient airtime. It enabled them to start reverse calls using a specific code.

The telecoms company highlighted that reverse call technology wasn’t new, having preceded Ivusa’s suggestion and being present in different formats long before mobile communications were common.

Safaricom emphasized notable distinctions between its offering and Jichomoe: whereas the Reverse Call Service only covers voice calls, Jichomoe includes voice calls, text messaging, and mobile internet. It operates as an installed module within handsets instead of being a network-based feature.

What was the outcome of the lawsuit involving Safaricom?

Judge Mugambi’s ruling tackled three main points: whether Safaricom violated a trust, if it had misappropriated Ivusa’s concept, and whether Ivusa was justified in seeking the remedies proposed.

The court discovered no proof of a clear pact or shared comprehension between the involved parties. It highlighted that Ivusa’s presentation of the Jichomoe idea was unrequested, with nothing suggesting that Safaricom consented to keep it confidential or utilize it for his advantage.

Regarding the allegation of passing off, where one entity falsely presents another’s goods as their own, the court necessitated that Ivusa demonstrate that Jichomoe possessed goodwill and brand recognition. Additionally, Ivusa needed to show that Safaricom’s services were misleading about their source and that this misrepresentation caused damage to Ivusa.

Mugambi stated that Ivusa did not provide any proof of Jichomoe’s market position, brand awareness, or financial harm resulting from Safaricom’s activities.

Even though Ivusa didn’t directly accuse anyone of copyright infringement, the court examined whether his intellectual property had been violated. According to Kenya’s Copyright Act, software receives protection as a form of literary work; however, this law safeguards only the expression of an idea rather than the concept itself.

The court determined that since Jichomoe did not provide concrete details like source code or prototypes, Ivusa was unable to demonstrate that Safaricom had replicated his distinctive creation instead of separately devising a comparable idea.

Justice Mugambi dismissed the suit with costs awarded to Safaricom after finding no merit with the lawsuits claims.

Everise’s EverAI Labs Claims Top Honor at 2025 AI Excellence Awards

Everise’s EverAI Labs Claims Top Honor at 2025 AI Excellence Awards

PRNewswire

Everise has announced on March 27 from Plantation (Florida), US, that they have launched EverAI Labs, their new AI-driven product line.
customer experience solutions
has received an award at the 2025 Artificial Intelligence Excellence Awards, organized by the Business Intelligence Group. This accolade underscores EverAI Labs’ dedication to establishing new benchmarks for innovation and excellence in the field.
Business Process Outsourcing
(BPO) space.

The Artificial Intelligence Excellence Awards honor the pioneering firms, cutting-edge technologies, and outstanding individuals at the forefront of AI advancement. The honorees are chosen from 46 key application areas and 36 sectors through a review process conducted by seasoned sector specialists. These judges assess candidates according to their ingenuity, influence, and quantifiable achievements.

“Less than a year has passed since Everise launched EverAI Labs, and we are proud to be recognized with an excellence award in artificial intelligence. This honor acknowledges our team’s commitment to advancing the frontiers of AI to develop impactful solutions that enhance both personal lives and various sectors,” said Sudhir Agarwal, Founder & CEO at Everise.

EverAI Labs seeks to revolutionize the realm of customer experiences through an integrated, AI-driven platform designed to reshape the employee lifecycle from recruitment to retirement. This encompasses smart hiring processes, comprehensive training programs, ongoing performance tracking, sophisticated data analysis, and complete cybersecurity measures, enabling companies to develop more efficient, adaptable, and forward-thinking support staff. By leveraging cutting-edge tools such as artificial intelligence, machine learning, natural language processing, and intelligent process automation, EverAI Labs is paving the way for the future of operations within the business process outsourcing sector.

The AI sector is advancing swiftly, and thanks to firms such as Everise, we’re witnessing practical implementations making an impact,” stated Russ Fordyce, CEO of the Business Intelligence Group, which organizes the Artificial Intelligence Excellence Awards. “Everise’s contributions highlight the type of groundbreaking innovation and guidance that is molding the future of artificial intelligence.

To learn more about EverAI Labs and their acclaimed AI offerings, check out their website.
everailabs.com
.

About Everise

Launched in 2016, Everise stands as a global frontrunner revolutionizing customer care within industries such as healthcare, transportation, logistics, insurance, finance, and technology. Supported by Brookfield and Warburg Pincus, this firm addresses issues faced by clients of major international companies through an integration of advanced technologies and empathetic support. Featuring over 28,000 dedicated representatives working worldwide from eight key regions, their client service offerings deliver superior performance, security, and adaptability—empowering enterprises to expand internationally while maintaining excellent consumer contentment. Discover more details here.
www.weareeverise.com
.

About Business Intelligence Group

The Business Intelligence Group was established with the aim of acknowledging genuine talent and exceptional achievement in the business realm. In contrast to others,
industry award programs
These initiatives are evaluated by seasoned business leaders who possess extensive expertise. The entity’s exclusive and distinctive evaluation method precisely assesses effectiveness across various aspects of business operations and honors firms whose accomplishments surpass those of their competitors.

(ADVERTORIAL DISCLOSURE: The aforementioned press release has been supplied by
PRNewswire
ANI will not bear any responsibility for the content thereof).

Provided by SyndiGate Media Inc.
Syndigate.info
).

Over 80% of Cross-Border Inbound DuitNow QR Transactions Use Alipay+-Enabled E-Wallets in Malaysia

Over 80% of Cross-Border Inbound DuitNow QR Transactions Use Alipay+-Enabled E-Wallets in Malaysia

Malaysian enterprises are seeing a notable increase in QR payments from tourists due to inter-country QR payment systems made possible through
DuitNow QR
. As Payments Network Malaysia Sdn Bhd (
PayNet
) and Ant International entered into a partnership with
cross-border payment acceptance agreement
When visitors travel to Malaysia, they can enjoy a smooth payment process since they have the ability to scan DuitNow QR codes with their personal e-wallet applications from abroad.
Alipay+ network
.

In marking the completion of their initial collaborative year, Paynet and Ant International revealed that the international QR partnerships facilitated significant economic prospects for Malaysian small and medium-sized enterprises (SMEs). During this time, Alipay+ accounted for over 80% of cross-border incoming QR transactions through DuitNow. The partners also noted that from December 2024 onwards, revenues for local businesses surged sixfold relative to the corresponding timeframe in 2023.

Due to the cross-border arrangements facilitated by Alipay+, tourists from

10 countries and regions

can now use their personal payment applications for payments at over

2.5 million DuitNow QR access points established across Malaysia

By merely scanning the pink DuitNow QR code. It was mentioned that the volume of Alipay+ transactions via DuitNow QR has reportedly increased on average.

rose by 50% sequentially in 2024

, making Alipay+ the largest driver of cross-border inbound QR payments in Malaysia.

Currently, users of Alipay+ partner e-wallets and banking applications can make payments using the DuitNow QR code as follows:

  • Alipay (Chinese Mainland)
  • AlipayHK (Hong Kong SAR, China)
  • MPay (Macao SAR, China)
  • TrueMoney (Thailand)
  • KBank (Thailand)
  • Changi Pay (Singapore)
  • Hipay (Mongolia)
  • HelloMoney (The Philippines)
  • GCash (The Philippines)
  • Tinaba (Italy)
  • Kaspi (Kazakhstan)
  • BigPay (Singapore)
  • BigPay (Thailand)
  • Kakao Pay (South Korea)
  • Naver Pay (South Korea)
  • Toss (South Korea)

Tourism Malaysia reports that more than 25 million tourists visited the nation in 2024, with ambitions to reach 35.6 million as part of the Visit Malaysia initiative set for 2026. The widespread adoption of DuitNow QR among merchants allows travelers to easily make payments through their preferred apps throughout the country. Additionally, the use of Alipay+-enabled applications surged fivefold during the fourth quarter of 2024 compared to the previous year. Key locations seeing high utilization rates encompass Kuala Lumpur, Malacca, Penang, Johor Bahru, and Kota Kinabalu.

Gary Yeoh, the Chief Marketing Officer at PayNet, stated, “Being Malaysia’s national payments network, PayNet is dedicated to developing an open and smooth payment environment that allows businesses to flourish.”

He stated, “The collaboration with Ant International has greatly improved cross-border payment options for our local businesses, enabling them to cater to the increasing number of tourists worldwide. Thanks to Alipay+, DuitNow QR is now giving small and medium-sized enterprises the ability to expand internationally, thereby strengthening Malaysia’s status as a top choice for both tourism and retail.”

In the meantime, Edward Yue, the Regional General Manager of Ant International for Southeast Asia, Australia, and New Zealand, stated, “Through Alipay+, we provide local enterprises with access to a worldwide customer base, fostering broader economic inclusion within their communities. PayNet has established both the necessary infrastructure and strategic alliances to facilitate these connections, and we’re thrilled to partner with them to integrate international users into this system. This is only the beginning; over the coming years, our collaboration could lead to significant advancements, cementing Malaysia’s status as a leading global travel destination and boosting prosperity among Malaysian companies.”

Lamborghini Owner Triumphs in Negligence and Conspiracy Lawsuit Against Company

Lamborghini Owner Triumphs in Negligence and Conspiracy Lawsuit Against Company

PETALLING JAYA: The owner of a Lamborghini emerged victorious in a lawsuit filed against negligence and an alleged plot to harm him at the Sessions Court. This precedent-setting case involves a firm that had issued approval permits for importing vehicles but allegedly employed deceptive paperwork to understate the car’s value.

As a result, the customs department impounded the vehicle – a 2018 Lamborghini Huracan Performante valued at RM1.3 million.

Judge Sazlina Shafie stated that businessman Yew Chin Teck successfully demonstrated his claims against BHU Autologistics Sdn Bhd based on the preponderance of evidence.

The judge mentioned that Yew, who was being represented by attorneys David Gurupatham and Thej Eashen Previndran, demonstrated that he was a genuine buyer of the vehicle.

Last week, during her verbal judgment, Sazlina stated that the firm had altered the tax papers and reported a reduced levy for a previous version of the vehicle.

Nevertheless, she mentioned that the firm, led by Jarrett Ong and Elora Ng, charged Yew more than they should have.

She stated that the customs department uncovered the fraud due to carelessness and confiscated the vehicle.

Sazlina instructed the firm to compensate Yew with RM830,000 for the inability to use the car starting September 13, 2021.

She additionally instructed the firm to pay an extra RM2,300 each day (as compensation for not being able to use the vehicle) starting from September 14, 2021, continuing up till the realization of the judgment amount.

The payment includes an additional 1.5% interest, along with Sazlina granting Yew RM25,000 for expenses.

Gurupatham informed FMT that the total amount of the judgment stood at RM5.8 million as of last week.

Nevertheless, the judge permitted the customs department and the government to file a countersuit against Yew for failing to pay taxes, levies, and duties totaling approximately RM1.35 million.

Yew was additionally required to pay RM10,000 in expenses to the government, which was represented by federal counsel Nurul Akhilah Rosmi.

The details of the case showed that around 2019, Yew consented to purchasing the vehicle from the firm. Nevertheless, the following year, the customs authority confiscated the car due to suspicions that all applicable taxes, tariffs, and dues had not been settled completely.

Later, Yew initiated a lawsuit against the firm for negligence as well as conspiracy to harm him.

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