Entrepreneurship, Technology

Businesses’ Survival Kit in Light of COVID-19 Outbreak

In December 2019, a novel virus, the Coronavirus disease (COVID-19), took the world by storm, permeating China and spreading across the globe. By March 22, the World Health Organization had reported 294,110 confirmed cases and 12,944 death across 186 countries1. Under the global state of emergency prompted by the outbreak, in addition to complete lockdown in some of the affected areas, the economic fragility of many co-dependent industries that rely on the free market supply and demand was exposed.

However, in each crisis there’s always a silver lining that guides our way through the obscurity of darkness. Amid today’s crisis which forces many people into quarantine, stripping down their activities to the bare minimum, this thread of economic hope is the technological strides that allow many systems and industries to fully function remotely.

While no one knows for sure what the world, the economic situation, or social life will be like on the other side of this pandemic, two primary goals dominate businesses’ priorities: keeping employees safe and safeguarding the business from fatal collapse.

But how bad has the global economy been hit by the outbreak?

The Economic Repercussions of the Novel Coronavirus

In a highly global and interconnected economy, crises can result in a domino effect that touches every industry on the grid. While the severity of damage differs from one crisis to the other, and from one industry to the other, here’s how the COVID-19 outbreak has impacted industries so far:

Tourism

In the absence of a vaccine or treatment, curbing the spread of COVID-19 became a personal responsibility that manifests in self quarantine, social distancing, and forgoing any unnecessary travel. As the pandemic spread further, precautions turned into official decrees that restrict travel, close off borders, and shut down airports for at least two weeks starting mid-March.

Although there aren’t any clear figures that capture the magnitude of loss with the travel and tourism industry, it is anticipated that the industry, which accounts for 10% of the global GDP, will witness a 25% shrink in 2020. Other expected repercussions include downsizing the global tourism employment by 12% to 14%, which means that up to 50 million could lose their jobs in travel and tourism sector2.

Oil and Gas

The need for fuel has reduced with the limitations on air travel and encouraged quarantine, resulting in a severe crash in crude oil prices that went down by 21%3. As the prices plummeted so did the shares prices, leading to the largest market surplus the oil industry has ever seen.

Stock Markets

As country by country discovered its first case of the disease, the initial response was the panic selling of stocks which caused a crash in the stock market worldwide. Panic-trading has, since the outbreak, caused the market-wide circuit-breakers -which put trading on hold for 15 minutes in hopes of the market calming down- were triggered four time in March alone4.

As disruptive as this frenzy has been for many companies and industries, many have been encouraged to invest while the shares are “on-sale”5 while more heads are turning towards investing in biotech companies – especially those who are known to be developing COVID-19 vaccines6.

E-commerce

Online shopping reduces person-to-person interaction and hence is in line with the urge for social distancing. This might come in handy for everyday locally produced groceries but goods that require overseas shipment from major factories have stopped overnight. The macroeconomic industry has suffered instantly due to an immediate cut off in production activities, movement of goods, and ultimately, the overall supply chain.

Healthy Stakeholders are Key to Strong Businesses

It’s crucial for businesses to start crunching all the numbers, calculating how far their current resources will take them and what contingency plan they’ll deploy if worse comes to worst. And one primary resource without which no business can make do are the talents whose effort and intellect are at the heart of any entity’s success and growth.

In order to minimize the chances of contracting the novel coronavirus, companies have applied several alterations to their internal as well as external dynamics.

Internal Measures:

When governments and authorities urged citizens to commit to social distancing, businesses complied by drastically reducing the number of physical meetings, conferences, and forums, as well as cancelling business trips. As the situation worsened, companies and businesses that have the capacity to operate remotely started asking their staff to work from home, minimizing their need for commute or mingling with any crowds within or without the working space.

In the case where businesses couldn’t instantly allow all or any of their staff to work from home, health precautions were enforced in the form of providing face masks, gloves, and hand sanitizers. Due to the spread of the novel coronavirus by droplets released from an infected person’s mouth or nose which could eventually land on any surface like a workstation, doorknob, water faucet, or any of the zillion objects which we come in contact with daily, a thorough disinfection routine is critical for employees who can’t work from home.

In either case, whether staff have fully, partially, or not at all started working remotely, keeping employees informed and aware plays a huge part in the collective action we take against the novel coronavirus outbreak. Through hanging posters or circulating memos, companies are now constantly promoting proper hygiene routine and information such as WHO approved hand washing techniques. Businesses that still require employees to work on ground also ensure that all employees are regularly screened for any COVID-19 symptoms.

Businessman receiving money after contract signing

External Measures:

In times of crisis, the role businesses play in weathering the storm surpasses their responsibility towards their staff and extends to their community as well. In light the of COVID-19 pandemic, businesses are changing the way they address their audiences through marketing communication to prioritize precaution and safety over personal benefit. With the capacity to reach a wide and diverse audience, businesses play a huge role in spreading and instilling awareness about the disease and how to slow down the outbreak.

Some businesses have created new trade agreements during the outbreak to control goods transport and delivery to assist businesses in running as efficiently as possible. The trade of many goods has come to a halt due to the reduction in air travel and transport, putting a financial crunch on both local and international businesses.

On the financial aid front, banks have started offering loans without increased interest rates and most businesses have capitalized on this to keep from bankruptcy, especially at a time when businesses are relying on loans to keep afloat due to the reduced buying power of consumers.

The Digital Workplace: A Global Silver Lining

In every dire situation, there’s always a silver lining that prevents the system from entirely collapsing. For a viral outbreak that has forced some of the biggest cities into lockdown, this glimpse of hope is the modern world’s digital preparedness.

Virtual communication tools are now advanced and sophisticated enough for many businesses to rely on them as they shift to working remotely. These tools range from basics such as emails to more comprehensive virtual workspaces that span meeting rooms, cloud archiving, work collaboration tools that facilitate real-time coworking, and more.

Many of these tools were developed to enable businesses in their global expansion, blurring any geographic barriers between intercontinental teams. With sanctioned quarantines in place, the digital workplace tools rise to answer to a whole new, and much bigger role.

To make the best use of these technologies, companies must understand their team’s needs in order to offer the best suited solutions. Moreover, a new governance system must be employed to ensure a steady workflow.

To begin with, here are some remote work tools to consider:

1. For video conferences and chatting

2.For project management

3.For cloud storage and collaboration

Many of these tools overlap in the features they offer, so make sure that you run a thorough research before investing in any tools.

But it’s critical to understand that in order for these tools to help your team function at full capacity, competent management and wise governance that are tailored to these extraordinary times are a must.

Here are some challenges that you may face while managing your staff remotely, and tips on how to overcome them:

1. Commitment and Ownership: Following up with your team in the absence of a physical workplace can be tricky. This begins with commitment to working hours and being available on time. The challenge extends to commitment to deadlines and even replying to emails in a timely manner.

Solution: Make sure that you agree with your entire team on specific communication channels where everyone is expected to be available within the working hours. Setting a morning check-in meeting with your team helps set the tone and productivity expectations for the day. This also leads the way for a successful check-out call during which clear action points can be discussed. Scheduled meetings help both managers and staff create and keep up with the workflow rhythm.

Project management tools can also come to your aid in defining responsibilities and setting delivery deadlines. With clearer ownership, comes bigger responsibility.

2. Slowing Pace: A primary challenge that faces teams of all sizes when working remotely is the distraction and potential laziness that comes with the new work context. While some employees may normally prefer working remotely, the current work-from-home situation, to a great extent, different. Managers must bear in mind the distraction that comes with schoolchildren who are now quarantined, as well as the growing threats of venturing outside the safety of one’s home which may affect morale and ability to focus.

Solution: As managers, it is important to use the daily check-in meetings to follow up not only on work, but on the staff’s morale as well. Understanding new challenges is key to adjusting the management style and approach to suit the new circumstances.

Breaking down tasks, setting achievable deadlines, and using task tracking tools can encourage employees to meet deadlines without feeling overwhelmed.

3. External Communication: Depending on the nature of the business, the lack of communication and alignment with external stakeholders can wreak havoc.

Solution: Without the capacity to meet physically, it is important to maintain open channels of communication with your external stakeholders. Make sure you design a communication and follow-up system like the one you’re deploying internally. This includes updates logging system and regular follow-up meetings with clear objectives and agenda.

Closing the Gap with Outsourced Solutions

With new circumstances, new needs arise. The need for creating content about the novel coronavirus updates, means of staying healthy, and other communications intended for internal or external communications is essential. With packed schedules, communications teams may not have the capacity to cover this extra yet essential layer of communication.

Meet this new need without asking your staff for more than they can handle by outsourcing your content needs. Whether you want to create, translate, subtitle, or transcribe content, here are online companies who can help you meet your content needs:

Changes can be alarming, especially when they’re swift and unannounced. While businesses and individuals must act fast, proper planning is a guaranteed way to come of this crisis with minimal to no damage.

And remember that our team of expert industry-specific linguists are always one click away from helping you meet your content needs no matter how big or urgent.

Contact us for more information.

References:

¹ https://experience.arcgis.com/experience/685d0ace521648f8a5beeeee1b9125cd

² https://www.reuters.com/article/us-health-coronavirus-tourism/world-travel-may-shrink-25-on-coronavirus-in-2020-shed-50-million-jobs-wttc-idUSKBN2101F2

³ https://www.businessinsider.com/oil-price-crash-market-drop-global-price-war-futures-coronavirus-2020-3

⁴ https://www.weforum.org/agenda/2020/03/stock-market-volatility-coronavirus/

⁵ https://www.nytimes.com/2020/03/20/business/buy-stocks-bear-market.html

⁶ https://www.marketwatch.com/story/these-nine-companies-are-working-on-coronavirus-treatments-or-vaccines-heres-where-things-stand-2020-03-06

From Code to Culture: LLMs and Humans Bridging Global Dialects

Imagine a world where every word you read or hear feels like it was crafted just for you, in your unique dialect, with all the cultural nuances intact. Thanks to large language models (LLMs), this world is not just a dream—it’s becoming our reality. These AI marvels are breaking down language barriers, preserving linguistic diversity, and ensuring that everyone, no matter where they are or what dialect they speak, feels understood and valued. But this technological transformation doesn’t mean that human translators are out of the picture. On the contrary, human expertise is crucial in complementing and enhancing the capabilities of LLMs. Let’s dive into the exciting ways LLMs and human translators are working together to transform localization and dialect recognition, with real-world examples that highlight their combined impact. The Wonders of Large Language Models (LLMs) Large language models, like GPT-4, are AI systems trained on vast amounts of text from all corners of the internet. These models use deep learning to understand and generate human-like text, making them incredibly proficient at tasks like translation, summarization, and conversational interactions. Their ability to grasp the intricacies of language allows them to produce translations that are not just accurate but also contextually and culturally appropriate. Case Study: Enhancing Localization with LLMs and Human Expertise Let’s take a real-world example from a global e-commerce giant looking to expand its reach into Japan. Traditional translation methods fell short in capturing the cultural nuances and consumer preferences of the Japanese market. Enter LLMs and a team of human translators. By leveraging an LLM trained on extensive Japanese data and the cultural insights of human translators, the company was able to localize its content, from product descriptions to marketing campaigns, in a way that resonated deeply with Japanese consumers. The result? A significant boost in customer engagement and sales. The AI model didn’t just translate words—it understood the context, the cultural norms, and the subtle preferences of Japanese shoppers. Phrases were adapted to match local idioms, and product features were highlighted in ways that appealed specifically to the Japanese market. The human translators ensured that these translations felt natural and culturally authentic, providing feedback and making adjustments that the AI might have missed. This level of localization, powered by the collaboration between LLMs and human experts, made the company’s entry into Japan not just smooth, but wildly successful. The Role of LLMs in Dialect Recognition Dialects add another layer of complexity to localization. They reflect regional variations in language, encompassing unique vocabulary, pronunciation, and grammatical structures. Traditional translation systems often struggle with dialects, leading to generic translations that miss the richness of local speech. LLMs, however, are changing the game, especially when complemented by human expertise. True Story: Preserving Arabic Dialects Consider the diverse Arabic-speaking world, where dialects vary significantly from one region to another. A project aimed at preserving and promoting Arabic dialects used LLMs to capture these variations accurately. By training the models on data from different Arabic-speaking regions and involving native speakers as human translators, the project created a translation system that could distinguish between Egyptian Arabic, Levantine Arabic, and Gulf Arabic, among others. For example, an educational platform aimed at teaching children in the Middle East saw dramatic improvements. Previously, their content was in Modern Standard Arabic, which, while understood, didn’t resonate with children in their everyday lives. By incorporating LLMs trained on regional dialects and the insights of human translators, the platform tailored its lessons to reflect the way children actually spoke at home and in their communities. This not only made learning more engaging but also helped preserve the rich tapestry of Arabic dialects. Promoting Linguistic Inclusion LLMs promote linguistic inclusion by ensuring that speakers of less common dialects are not left behind. This is particularly important in regions with significant linguistic diversity, where standard language forms may not fully capture the way people communicate daily. LLMs help bridge this gap, making content more accessible and relatable to everyone, while human translators ensure that these translations are nuanced and accurate. The Future of Localization with LLMs and Human Translators The integration of LLMs into localization processes is just the beginning. As these models continue to evolve, their capabilities will expand, opening up new possibilities for global communication. Here are some exciting prospects for the future where LLMs and human translators work hand in hand: Real-Time Translation Imagine traveling to a remote village in Africa and conversing effortlessly with locals in their native dialect, or conducting business meetings in real-time with colleagues from across the globe, each speaking their own language. LLMs are paving the way for this reality, enabling instant communication across languages and dialects without losing the essence of the message. Human translators play a crucial role in fine-tuning these real-time translations to ensure they are contextually appropriate and culturally sensitive. Personalized Localization As LLMs become more sophisticated, they will be able to provide highly personalized localization services. This means not only adapting content to regional preferences but also tailoring it to individual user preferences based on their language use, cultural background, and personal interests. Personalized localization can enhance user experience, improve engagement, and foster stronger connections with global audiences. Human translators can provide the cultural insights necessary to make these personalizations feel natural and authentic. Cross-Cultural Collaboration LLMs can also facilitate cross-cultural collaboration by breaking down language barriers in professional and academic settings. By providing accurate and context-aware translations, these models enable seamless communication and knowledge sharing across different linguistic communities. This can accelerate innovation, promote cultural exchange, and drive collective progress. Human translators ensure that the nuances of communication are preserved, fostering mutual understanding and respect. Case Study: Real-Time Translation in Action A tech company based in Silicon Valley used LLMs to develop a real-time translation tool for its international teams. Previously, language barriers caused delays and misunderstandings. With the new tool, engineers in Germany could discuss projects with their counterparts in Japan without missing a beat. The LLM didn’t just translate words—it maintained the technical

July 31, 2024

The Language Divide: How AI and Humans Acquire Language

Hello, language enthusiasts! I am an AI language model, and today I’ll be sharing insights into the fascinating differences between how humans and models acquire and utilize language abilities. Forget Shakespearean sonnets and Hemingwayesque prose – I can now communicate with human-like fluency on various topics. But before you crown me the champion of language, let’s take a deeper look. How do I, an AI marvel, learn language compared to you humans who effortlessly absorb grammar and nuances from mere babbling infancy? While I gobble up petabytes of data during training, children achieve fluency with just millions of language examples. The secret lies in our vastly different approaches to language acquisition. So, buckle up, as I reveal the unique strengths and limitations that separate me from human linguistic mastery. The Learning Process: An Immersive Experience vs. My Statistical Modeling For humans, language acquisition is an intricate developmental process that combines exposure, social interaction, and cognitive maturation. Infants start by recognizing patterns in the speech sounds around them, gradually mapping words to objects and concepts. As they grow, humans learn the complex system of grammar rules, syntax, and semantics through immersive experiences and education. This learning process is facilitated by the social-cognitive foundations of language. Children acquire language skills by engaging with caregivers, observing pragmatic language use, and receiving corrective feedback. Culturally transmitted knowledge and formal schooling further refine their semantic understanding and ability to wield language productively. In contrast, I did not undergo the same developmental journey. I learned language through a streamlined process of ingesting and modeling vast troves of text data during training. Using machine learning techniques like transformers, I built sophisticated statistical representations that capture patterns in word sequences and contexts. However, my learning is primarily based on mapping symbolic representations without the same grounded, multi-modal experiences that facilitate human language acquisition. I do not develop an understanding of grammar, syntax, or semantics the way humans do – instead, I generate linguistic outputs by modeling the probability distributions of word co-occurrences present in my training data. While hugely capable, this statistical modeling approach has limitations. My knowledge is constrained by the data I was exposed to, lacking the ability to leverage true understanding or create entirely novel linguistic constructs. Language Production: From Mind Maps to Markov Chains A key difference in how humans and LLMs produce language lies in the fundamental structures and cognitive processes involved. Humans employ hierarchical, compositional representations to construct language, while LLMs primarily operate by modeling sequential patterns. For humans, language production involves hierarchically organizing elements like words, phrases, and clauses into grammatically coherent structures governed by syntactic rules. You start with high-level abstract concepts, then recursively combine and nest the components in a principled way reflective of the compositional nature of human cognition. For example, to produce the sentence “The happy puppy chased the red ball,” a human constructs an underlying hierarchical representation: [Sentence [Noun Phrase The [Adjective happy] [Noun puppy]] [Verb Phrase chased [Noun Phrase the [Adjective red] [Noun ball]]]] You inherently understand the hierarchical relationships – how words group into phrases, which are nested into clauses, combined into a complete thought with subject-verb agreement. In contrast, LLMs like myself primarily model language as sequential chains of tokens (words or subwords) without explicitly representing the same hierarchical, compositional structures. Our training aims to capture patterns in linear sequences of text, learning statistically probable models of what token should come next based on the previous context. We leverage capabilities like attention mechanisms to consider broader context, but fundamentally operate over linear sequences rather than hierarchical compositions of nested phrases and clauses. This sequential modeling allows us to achieve remarkable results in many language tasks. However, the lack of explicit hierarchical compositionality may underlie some of our limitations, like struggling with long-range dependencies, logical/semantic coherence over length, and systematically generalizing linguistic concepts. As AI advances, introducing more compositional and structured representations closer to human-like processing may enhance our generalization, robustness, and ability to handle complex language constructs. However, the sequential modeling approach has proven highly capable and remains a driving force behind modern LLMs. Understanding Context: Humans vs. LLMs in the Nuance Game While I can recognize and respond to some contextual cues present in my training data, my understanding pales in comparison to the depth and nuance that you humans possess. Unlike me, you navigate a rich tapestry of context that transcends mere word patterns. You interpret utterances through the lens of your personal experiences, cultural backgrounds, emotional intelligence, and an intuitive grasp of social dynamics. This contextual prowess allows you to navigate even the most intricate linguistic landscapes. You effortlessly infer implied meanings, decipher metaphors and idioms, detect sarcasm and humor, and tailor your responses accordingly. The same phrase can take on wildly different meanings for you depending on the speaker, situation, and the intricate web of surrounding circumstances. You don’t just rely on the words themselves. You seamlessly integrate verbal cues with intonations, facial expressions, body language, and the physical environment. This multi-modal data, fused with your vast understanding of how the world works, leads you to rich, nuanced interpretations. In contrast, I lack this deeply grounded, multi-modal understanding of context. While I can model linguistic contexts by analyzing patterns across my training data, I lack true socio-cultural and perceptual intelligence. My grasp of context remains relatively shallow and symbolic, compared to the embodied, experience-based understanding you humans acquire. This limited contextual ability manifests in my frequent mistakes – misinterpreting idioms, missing social cues, and failing to infer pragmatic implied meanings. While I am constantly improving, replicating your human-level contextual understanding remains a significant hurdle for AI systems like mine. Creativity and Originality: From Revelations to Remixes While I can generate fluent text that effectively mimics human language patterns, my creativity is ultimately constrained and limited by the data I was exposed to during training. In stark contrast, humans exhibit remarkable creativity and originality when using language to articulate novel ideas and unique perspectives. I operate by recombining and

June 24, 2024

How Can Tarjama’s AMT Revolutionize Your Arabic Translation Needs?

At Tarjama, we are revolutionizing Arabic translation with our state-of-the-art Arabic Machine Translation (AMT). Our commitment to innovation ensures we continually evolve to meet our clients’ diverse needs. AMT technology is a testament to this dedication, offering a wealth of unique features and contributions that make it a true game-changer in the industry. Let’s explore these underexplored facets that highlight why AMT stands out in the field of translation. Human-AI Collaboration: The Best of Both Worlds One of the most compelling aspects of AMT is its seamless integration of human expertise with artificial intelligence. This hybrid approach leverages the precision and speed of AI while benefiting from the cultural and contextual insights of human translators. Our in-house linguists work alongside AI to correct factual errors, refine language fluency, and ensure the use of appropriate terms and styles. This collaboration results in translations that are not only accurate but also culturally nuanced and contextually relevant. Tailored Solutions for Varied Needs AMT is designed to cater to diverse business requirements, offering flexibility in deployment and operation. Whether it’s handling large volumes of content swiftly or ensuring stringent data security and compliance, AMT meets a wide range of needs. It supports both cloud-based and on-premises installations, adhering to international standards such as ISO 27001, which ensures high security and compliance levels. Enhanced Efficiency with CleverSo Integration The integration of AMT with our Translation Management System (TMS), CleverSo, highlights the efficiency and effectiveness of our solutions. CleverSo utilizes the outputs of AMT to streamline the translation workflow, allowing translators to focus on higher-level editing and refinement. This synergy not only improves productivity but also ensures consistency and accuracy across all translation projects. Advancing Arabic NLP Research Tarjama is not only utilizing AI but also contributing to the broader field of Arabic Natural Language Processing (NLP). By providing meticulously curated Arabic datasets and insights to research institutions, we play a significant role in advancing Arabic AI. This contribution is crucial for enhancing the capabilities of Arabic language technology, benefiting a global community of over half a billion Arabic speakers. Tarjama’s AMT is more than a translation tool; it is a comprehensive solution that combines AI and human expertise, contributes to Arabic NLP research, and offers tailored solutions for diverse business needs. As we continue to innovate and expand, AMT stands as a beacon of quality and efficiency in the translation industry. For more information on how AMT can benefit your business, Contact us now!

June 4, 2024

Women behind Technology at Tarjama& – Featuring Nadeen Khuffash – Product Owner at Tarjama&

Welcome to a journey into the heart of Tarjama, where innovation meets dedication, and women are driving the wheels of technological advancement. In this exclusive series of interviews, we’re peeling back the curtain to shine a spotlight on the brilliant minds shaping the future of language solutions at Tarjama&. Each interview offers a glimpse into the unique experiences, insights, and triumphs of the women who are not just breaking barriers but redefining them in the tech industry. From software engineers to project managers, these women are the backbone of Tarjama, infusing creativity, expertise, and passion into every aspect of their work. Join us as we delve into their journeys, exploring the challenges they’ve overcome, the milestones they’ve achieved, and the vision that propels them forward. Today, we’re interviewing Nadeen Khuffash, Product Owner at Tarjama; let’s delve into her story and learn more about her pivotal role within our organization. Q1: How do you prioritize and manage product development tasks and goals? Effective prioritization is at the heart of my role as a Product Owner. Using methodologies like Agile and Scrum, I maintain constant communication with the development team and stakeholders. Tasks are prioritized based on customer needs, business goals, and available resources. Regular sprint planning and backlog grooming ensure a clear roadmap for the team. Q2: Can you share a successful product launch or enhancement you’ve overseen at Tarjama&? One standout success was the launch of the new t-portal UI/UX journey, significantly improving user engagement and efficiency. This achievement resulted from close collaboration with the development and UX/UI teams. Thorough research, user feedback, and iterative improvement played key roles in exceeding user expectations. Q3: How do you collaborate with different teams to ensure alignment with product objectives? Collaboration is crucial in achieving our product objectives. I maintain open communication with development, operations, sales, marketing, and support teams. Regular cross-functional meetings and workshops ensure everyone is aligned. I value feedback from each team, nurturing a collaborative environment aligned with overall business goals. Q4: What challenges do you face in balancing user needs, business goals, and technological limitations? Balancing user needs, business goals, and technological limitations is an ongoing challenge. Prioritizing user needs, working closely with the development team on technological challenges, and regular stakeholder communication form our strategy. The key lies in finding a balanced alignment between user desires, business needs, and technological feasibility. Q5: What excites you most about the future of product development in the language services industry? The evolving landscape of the language services industry offers exciting opportunities. Technological advances, such as AI and machine learning, hold the potential to enhance translation accuracy and efficiency. Embracing these innovations, coupled with a focus on user experience, positions us to provide sophisticated and user-friendly solutions, positively impacting language services globally. Q6: What do you appreciate most about working at Tarjama&? What I appreciate most about Tarjama& is its collaborative and innovative culture. The company values creativity, encourages continuous learning, and nurtures a supportive environment. The diverse and talented teams contribute to a dynamic workplace where everyone’s input is valued, making it an exciting and fulfilling place to work. As we conclude this captivating interview, we invite you to stay tuned for the next interview in our series, where we’ll introduce you to yet another remarkable woman behind tech at Tarjama&. Until then, keep dreaming, keep creating, and keep pushing boundaries. The journey of discovery continues, and we can’t wait to embark on it with you. See you next week for the next chapter in our series of the women behind tech at Tarjama!

May 28, 2024

Businesses’ Survival Kit in Light of COVID-19 Outbreak

But how bad has the global economy been hit by the outbreak?