Tag Archives: OpenAI

Creating Teams That Keep Tech Companies Ahead of the Curve – A Sit Down with Suthen Thomas Paradatheth, Chief Technology Officer at Grab

Grab’s humble roots as a Malaysian-born start-up are often ignored as the company has moved its headquarters over to Singapore, a country that was, at a time, more receptive to disruptors and unicorns. However, Malaysia’s talent still plays a vital role in the organisation as the company continues to host some of its core talent in Malaysia like its technical team – one which the company is currently expanding.

Suthen Thomas Paradatheth CTO Grab Tech in Asia
Source: Tech in Asia

That said, the company’s Chief Technology Officer, Suthen Thomas Paradatheth, continues to lead the expanding technical and programming teams. Suthen is a Malaysian, born and bred. He hails from Kuala Lumpur – Petaling Jaya more specifically – and has had most of his education locally in institutions like Sekolah Menengah Seaport (now known as Sekolah Menengah Sri Permata). Suthen earned his Bachelor’s Degree in Software Engineering with First Class Honours from Multimedia University in 2005. Programming seems to be innate with Suthen having worked as a freelancer since his high school days.

After university, a series of fortunate events and good networking found him working on Grab’s codebase. He’s been with the company since its early days in 2011; Back then, it was still MyTeksi. Since then, Suthen has earned his Masters in Public Policy from the Harvard Kennedy School and continues to be the man behind (most) of the code and features that make their way into the Grab app.

But – we’re not here to talk just about his achievements, we’re here to talk about the tech he’s worked on and some of the methods of his madness. It’s worth noting though, that even with his impressive resume and experience – particularly with Grab – Suthen remains extremely humble and approachable.

Passion Driven, Curiosity Fuelled

Heading Grab’s Technology and Programming is no small task. From its early days, the task of building the Grab Superapp has been monumental. It involved significant changes to the codebase, deciding which language to use and even creating new approaches. The task – which at one point was outsourced to programmers in India – is now handled by a team of about 2000 employees and headed by Suthen.


Suthen Thomas Paradatheth CTO Grab Headshot
Source: Grab

“Software engineering is, like, the closest thing to magic in the real world. Like, you put a certain set of words on a screen in a certain way and something happens…it’s the closest thing to a spell in reality.”

Suthen Thomas Paradatheth,
Chief Technology Officer at Grab


Suthen’s take on building a capable team is a rather unique one. In fact, his approach to working as the CTO is unique in itself. His approach is a very altruistic one mired in the belief that Grab as a platform is impacting lives significantly. This belief paired with an insatiable curiosity and passion for coding has led to his growth over the years and his ability to manage a large, growing team. This same passion and drive is what he looks for in his team members.

The ethos even rings true when the team deploys new features and services into the app. Key tenets like “How will users benefit from it?” and “Will it make a significant difference?” are big drivers to why we continue to willingly accept the big changes we see in the Grab app.

Empowering Independence and Diversity at Every Level

The technical team at Grab isn’t a small one and – like the super app – it’s not monolithic either. The 2,000-strong team is siloed into “Tech Families” a concept built on the similar “Tribes” or “Squads” model.  Each of these families is focused on one of the more technical aspects of the app’s many services and functions. But more importantly, the teams are made of diverse talents that complement their functions and reduce dependence on other teams. These teams aren’t just made up of software engineers, they could have people skilled in data and analytics, designers and even communicators if the team’s functions need it. They’re cross-functional and allow teams to work independently and innovate freely.

The biggest component to the success of Grab’s approach isn’t just the diversity of talent and skills in each team – it’s trust. Suthen has an approach where he trusts the teams and their team leads. He communicates with the leads and trusts them to solve and address the concerns of their own team members. In his own words, “…my job is actually to create coherence, connectivity between the layers.”

Using the Right Technology to Go Places

The same approach to creating coherence also trickles down to tech adoption as well. Grab isn’t behind the curve when it comes to new technologies. In fact, they’ve recently announced a partnership with Open AI to adopt some of the many Generative AI technologies that come with Open AI’s ChatGPT. However, Grab isn’t just about adopting the newest, hottest thing on the market. The decision to adopt new technologies is driven by how the new technology addresses the needs of the organization. In fact, if there isn’t a solution on the market, the teams at Grab will create their own.

Not many people know this, but Grab has actually developed its own mapping system and doesn’t use third-party map providers like Google Maps. This change was driven by the fact that a lot of third-party mapping, didn’t serve the needs of Grab’s ride partners and users. This was particularly true in markets where GrabBike is more prevalent. To address the needs of ride partners and users, Grab actually looked to their ride partners to map lesser-known roads and pathways. Using AI and a simple action camera, Grab has created its own mapping platform that allows it to be more accurate and serve ride partners better.

However, being a technology company, the teams at Grab are continually innovating. In fact, the teams are continually trying to stay ahead of the curve by identifying and addressing new needs or existing ones that new technologies can address. Leadership, like Suthen, continually push for this innovation and also hire for it. More importantly, leadership should invest in its own people to drive innovation.

Creating Efficiency & Reliability from the Ground Up

Innovation isn’t about throwing something to the wall and seeing what sticks. It’s about creating answers to problems that arise or creating better ones to existing problems. Similarly, at Grab, the approach that Suthen and the tech teams adopt is one that creates efficiency. This efficiency doesn’t just mean it’s efficient in code – whatever they do has to create efficiency when it comes to the day-to-day of Grab’s operations and this includes the efficiency of ride partners.


Suthen Thomas Paradatheth CTO Grab Headshot
Source: Grab Holdings

“Running a good marketplace is also running an environmentally friendly sustainable marketplace.”

Suthen Thomas Paradatheth,
Chief Technology Officer at Grab


We’ve seen GrabShare come and go and return to the platform. This is due to Grab testing out more efficient and functional ways to implement it. Let’s be honest, having a single passenger in the ride can be a tad wasteful when it comes to resources, so with GrabShare, where available, the driver earns more while being more efficient with the petrol the cars utilise. With ESG goals playing an increasingly important role in companies, this approach literally builds these goals into the code.

Even when it comes to the adoption of AI and new technologies, Suthen and his team are looking at how it impacts day-to-day functions. One of the pain points they hope to resolve is the waiting time for riders when it comes to food deliveries. Minimising this would not only mean that delivery partners are more efficient with their time, it would also mean that they are able to earn more. This would also help drive more efficiency with the fuel that is being used.

Of course, when it comes to ride-hailing, Grab is looking into EVs and hybrids that allow them to be more environmentally friendly. In fact, they’ve already started offering GrabGreen in other markets.

Creating a Sustainable, Passionate Team Starts with the Top

The one thing that rang true in our sit down with Suthen is this: the culture and workspace environment start very much with the top. The right approach, empowering your teams, creating independence, and prioritising your innovations will drive your teams to increase productivity and even retain your customers.

Overall, key takeaways for disruptors and even CTOs looking to create a team that is innovation-driven is this:

  1. Trust is key when you build your team.
  2. Create teams that are self-sufficient and reduce dependencies to keep them agile.
  3. Innovate efficiently and keep your company’s values as a driving force.

AI Enters the Classroom: OpenAI Unveils ChatGPT Edu

OpenAI has launched ChatGPT Edu. This program brings the power of AI to campuses worldwide, offering an affordable way to transform the learning experience. ChatGPT Edu is more than just a showcase of cutting-edge technology. It aims to empower educators with a unique tool to enhance student learning. Imagine personalized tutoring, smarter exam review sessions, and even AI-powered assistance with writing strong essays. These are just a few possibilities within reach.

College student ChatGpt for studying.
Photo by Shantanu Kumar on Pexels

Fueled by the advanced GPT-4o language model, ChatGPT Edu boasts a range of features designed to benefit both teachers and students:

  • Personalized Learning: This program adapts to individual needs, offering targeted support and explanations tailored to specific topics.
  • Enhanced Tutoring: Stuck on a challenging concept? ChatGPT Edu can act as a virtual learning companion, providing clear explanations and answering questions in an easy-to-understand manner.
  • Feedback and Review: Boost your performance on exams and assignments! ChatGPT Edu analyzes your writing and offers constructive feedback, helping you refine grammar, sentence structure, and overall clarity.
  • Research Assistant: Need help gathering information or brainstorming ideas for a project? ChatGPT Edu transforms into your AI research assistant, providing relevant sources and insights to propel your research forward.
A phone with a coffee cup and a message on it
Photo by Solen Feyissa on Pexels

According to OpenAI, ChatGPT Edu prioritizes safety, ensuring appropriate and educational interactions. The program also offers enterprise-level security and controls, giving universities peace of mind regarding student data privacy. In addition, it looks like ChatGPT Edu interactions won’t be used to train OpenAI’s LLM.

ChatGPT Edu’s introduction marks a significant step forward in integrating AI into education. It opens doors for personalized learning, improved student support, and innovative teaching methods. As educators and students experiment with this new tool, it will be fascinating to see how AI reshapes the future of learning and knowledge creation.

Grab & OpenAI Join Forces to Supercharge the Superapp Experience in Southeast Asia with AI

AI is in vogue right now. The latest company to jump on the AI bandwagon? Grab. Yep, that’s right. The same Grab that you use on a daily basis to order food, call a ride and more. Southeast Asia’s leading superapp has announced a groundbreaking collaboration with OpenAI, the company behind ChatGPT. This partnership – a first-of-its-kind for OpenAI in Asia – will see Grab leverage generative AI to enhance the superapp experience across multiple facets from user experience to employee productivity.

The collaboration will focus on two key areas: developing AI-powered solutions for Grab’s user base and partners, and piloting the use of AI within Grab’s workforce.

grab x openai

Building a More Inclusive Experience

One of the most exciting aspects of the partnership is the potential to make Grab’s services more accessible. Grab will utilize OpenAI’s expertise in text and voice technologies to create features that cater to users with visual impairments or elderly individuals who might find navigating the app interface challenging. This could involve implementing voice commands or text-to-speech functionalities, making it easier for everyone to interact with the Grab platform.

Enhanced Customer Support and Faster Mapping Updates

The partnership extends to improving customer support. Grab will explore building AI-powered chatbots capable of better understanding user inquiries and resolving issues more efficiently. This would streamline the customer support process, leading to faster resolution times and a more satisfying user experience.

OpenAI’s vision capabilities will also play a role in enhancing GrabMaps. By leveraging AI to automate tasks and extract data more effectively from visual imagery, Grab can potentially update maps at a faster pace. This ensures users and driver-partners have access to the most up-to-date information, improving navigation and overall efficiency within the Grab ecosystem.

AI Pilot Program for Employees

Beyond user-facing solutions, Grab also plans to pilot the use of OpenAI’s ChatGPT Enterprise among select employees. This initiative complements Grab’s existing efforts to integrate AI tools across its workforce, aiming to boost productivity and explore new ways to utilize this technology for internal processes.

This collaboration between Grab and OpenAI has the potential to significantly transform the way users, partners, and employees interact with the Grab platform. By harnessing the power of AI, Grab can create a more inclusive and user-friendly experience, optimize internal operations, and ultimately solidify its position as a leader in Southeast Asia’s digital landscape.

OpenAI Unveils GPT-4o: A Sassier, More Robust Version of GPT-4

The landscape of artificial intelligence (AI) has witnessed a significant leap forward with the recent launch of OpenAI’s GPT-4o. This next-generation large language model (LLM) transcends the capabilities of its predecessors, boasting significant advancements in text, audio, and vision processing.

Going Beyond Text

While previous iterations of GPT excelled at text generation and manipulation, GPT-4o pushes the boundaries further. This multimodal LLM incorporates audio and visual inputs into its repertoire, allowing for a more comprehensive and nuanced understanding of the world around it. Imagine seamlessly interacting with a language model that can not only understand your written instructions but can also interpret visual cues on your screen or respond in real time to your voice commands.

Say hello to GPT-4o

OpenAI claims that GPT-4o maintains its predecessor’s exceptional text processing capabilities, even demonstrating improvements in non-English languages. This refined performance in text generation, translation, and code writing paves the way for more efficient communication and collaboration across diverse linguistic backgrounds.

OpenAI showcased the versatility of GPT-4o during its launch demo. The model’s ability to respond to audio inputs with a human-like response time opens doors for innovative voice assistant applications. Furthermore, GPT-4o demonstrated the potential to generate short videos based on textual descriptions, hinting at its ability to participate in creative storytelling processes.

Taking It Into High Gear with More Integrations

The launch of GPT-4o intensifies the ongoing competition within the AI research community. With Google’s LaMDA remaining a prominent contender, the race to develop the most advanced and versatile LLM continues. This competitive landscape serves as a catalyst for rapid innovation, ultimately benefitting the field of AI as a whole.

Meeting AI with GPT-4o

Reports suggest that GPT-4o might possess the capability to analyze visual information displayed on a user’s screen. While the full extent of this feature remains unclear, it opens doors for a variety of potential applications. Imagine a language model that can not only understand written instructions but can also adapt its responses based on the visual context on your screen. This level of integration could revolutionize the way we interact with computers and leverage AI for tasks requiring a deeper understanding of the user’s intent.

Meeting AI with GPT-4o

The implications of GPT-4o extend far beyond the realm of technical specifications. This multimodal LLM has the potential to redefine the way we interact with technology. Imagine AI assistants that understand not just our words but also our nonverbal cues, or creative tools that can collaborate with humans on artistic endeavors. While the full impact of GPT-4o remains to be seen, its launch signifies a significant step forward on the path towards more natural and intuitive interactions between humans and machines.

Is OpenAI Looking to Challenge Google’s Search Dominance?

In a potentially game-changing move, OpenAI, the company behind ChatGPT, is rumoured to be entering the web search arena. It looks like the company wants to challenge Google’s longstanding dominance. A report from The Information suggests that OpenAI has been quietly developing a web search product. The report claims that the information was shared by an anonymous insider.

Photo by <a rel=
Photo by Mojahid Mottakin on Unsplash

While details about the project remain unclear, speculation is rife about whether the search tool will be seamlessly integrated into ChatGPT or introduced as a standalone product. OpenAI’s ambitious move into Google’s territory seems to bring a whole new experience to how we navigate the internet with search. If the rumours hold, we might witness a shift from the familiar phrase “Google it” to “OpenAI it”.

However, the authenticity of the claims is yet to be verified. OpenAI, itself, has not officially acknowledged the project. The company has been notoriously vigilant about leaks, even resorting to hiring investigators to address potential insider threats.

According to the insider, OpenAI’s search engine might leverage Microsoft’s Bing for certain functionalities. This makes sense with Microsoft’s substantial investments in OpenAI. Not to mention, Microsoft’s ongoing integration of GPT-based AI into various products like Bing Chat and Copilot.

OPEN AI Search generated with Copilot
Open AI search landing page generated with Microsoft Copilot

The move follows OpenAI’s pattern of expanding the capabilities of ChatGPT which was initially limited by a data cutoff or silo. In recent months, OpenAI introduced web browsing features, utilizing Bing’s search capabilities. This strategic partnership with Microsoft suggests a collaborative effort to bring about a more contextual and conversational approach to web search. This approach could potentially surpass traditional keyword-focused engines.

Despite the challenges inherent in competing with Google’s established search dominance, OpenAI’s innovative approach and support from Microsoft may pave the way for a new way of searching. The emergence of a search tool with generative and contextual AI features introduces exciting possibilities for the future of search on the internet. However, we will still need to wait and see as OpenAI is playing its cards very close to its chest.