Qatar Airways is pushing boundaries again. Having already made a name for itself in the aviation industry for its exceptional service and innovative approach to travel, the airline is now leveraging generative AI (Gen AI) in its latest ad campaign. The first-of-its-kind campaign uses the power of Gen AI to allow for a more interactive approach to advertising. The “AI Adventure” campaign offers viewers the unique opportunity to become the star of the film, immersing themselves in a personalized and interactive experience.
This innovative campaign marks a significant milestone for Qatar Airways, as it uniquely engages with the public. It is also allowing Qatar Airways to push boundaries when it comes to technology and customer engagement by allowing viewers to step into the role of the protagonist.
The campaign utilizes advanced AI technology to seamlessly integrate viewers into the film’s narrative. By uploading a photo, viewers can see themselves seamlessly integrated into various scenes, becoming the star of their own adventure with facial recognition technology and Gen AI. This personalized touch adds a unique and engaging dimension to the campaign.
If you’re interested in having your own “AI Adventure”, you can visit flyqatar.com and create your own version of the groundbreaking ad. Once done, you can even share it on social media and show off your adventure.
Axrail, a leading Malaysian IT solutions provider, has taken a groundbreaking step towards accelerating AI adoption in the region. The company, in collaboration with Amazon Web Services (AWS) and Phison, has launched the first-of-its-kind Generative AI (Gen AI) Lab in Southeast Asia.
This state-of-the-art facility signifies a major leap forward for Malaysian businesses looking to leverage the power of AI. Here’s how the Gen AI Lab empowers innovation and shapes the future of tech skills in Malaysia:
A Hub for Cutting-Edge Solutions
The Gen AI Lab brings together the expertise of three industry heavyweights. Axrail’s proven track record in AI implementation combines with AWS’s industry-leading cloud solutions, including Amazon Bedrock – a service offering access to high-performing AI models. Phison’s innovative aiDAPTIV+ technology adds an on-premise dimension to the mix. This collaborative environment fosters the development of comprehensive, end-to-end generative AI solutions, catering to both cloud and on-premise needs.
Fast-Tracking AI Adoption for Businesses
The Gen AI Lab isn’t just about showcasing cutting-edge technology; it’s designed to be a practical resource for businesses. The “sandbox” environment allows companies to experiment with AI applications and explore their potential to transform business operations. This hands-on approach helps companies to build the capabilities needed to extract value from data and increase efficiency across various functions.
Empowering Malaysian Businesses, Big and Small
Axrail is particularly focused on accelerating AI adoption among Malaysian SMEs. The upcoming AWS Region in Malaysia will provide crucial benefits like data residency, low latency, and robust cloud services, making AI solutions even more accessible. With the Gen AI Lab serving as a launchpad, Malaysian businesses of all sizes will have the opportunity to reimagine their operations using AI and achieve future-proof growth.
Boosting Malaysia’s Tech Skills Landscape
The Gen AI Lab isn’t just about technology; it’s about people. By fostering a collaborative environment for AI development and experimentation, Axrail is contributing to the growth of a skilled AI workforce in Malaysia. This aligns perfectly with the country’s Digital Economy Blueprint, which prioritizes digital transformation and establishing Malaysia as a regional leader in the digital arena. The complimentary half-day sharing session planned for July 18th is a testament to Axrail’s commitment to knowledge sharing and empowering Malaysians to navigate the exciting world of AI.
The Gen AI Lab: A Springboard for the Future
Axrail’s Gen AI Lab marks a significant milestone for Malaysia’s tech landscape. This collaborative effort positions the nation at the forefront of AI innovation, empowering businesses to thrive and nurturing a future generation of tech talent. Malaysia’s focus on building a digital economy that is not only focused on the needs of an increasingly digital market but also on the skillsets needed to adopt and adapt to a rapidly evolving market aligns with the efforts that we see from the country’s digital pioneers like Axrail. The Gen AI Lab aligns with the recent rhetoric and push by the government to adopt and upskill to make the country a competitive lifeline for the Southeast Asian Region’s digital development.
How would the principles of open source, namely permissive licenses, transparent training data and weights and, perhaps most of all, the ability to contribute to an open source model impact the resulting project?
Photo by Christina Morillo
Open models do exist from many of the most notable players in AI, but they aren’t open source or they impose certain restrictions…and that’s a challenge. To create models that really work for specific enterprise use cases, technology organizations need to understand the full scope of a model – how it was trained, what it was trained on, who contributed to it and so on – before they even think about fine-tuning it with their own internal data.
At Red Hat Summit 2023, we introduced Red Hat OpenShift AI, providing the foundation for running AI models at scale. A powerful, scalable and optimized platform for AI workloads, but not focused on delivering actual models. Today, we’ve made it clear that Red Hat’s strategy doesn’t solely exist in providing the backbone for AI-enabled applications – we want to bring the power of community and open source to the models themselves.
In collaboration with IBM Research, we’re open sourcing several models for both language and code-assistance. But what makes this even more exciting is InstructLab – a new open source project that allows individuals to enhance a model, through a simple user interface. Think of it as being able to contribute to an LLM in the same way you would with Pull Requests to any other open source project.
Photo by Tara Winstead
Instead of forking an LLM, which creates a dead-end that no one else can contribute to, InstructLab enables anyone around the world to add knowledge and skills. These contributions can then be incorporated into future releases of the model. Put simply…you don’t need to be a data scientist to contribute to InstructLab. Domain and subject matter experts (and data scientists too) can use InstructLab to make contributions that benefit everyone. I cannot overstate how powerful this is – both for the community and enterprises!
RHEL AI combines the critical components of the world’s leading enterprise Linux platform (in the form of the newly-announced image mode for Red Hat Enterprise Linux), open source-licensed Granite models and a supported, lifecycled distribution of the InstructLab project. InstructLab further extends the role of open source in AI, making working with or contributing to the underlying open source model as easy as contributing to any other community project.
AI innovation should not be limited to organizations that can afford massive GPU farms or brigades of data scientists. Everyone, from developers to IT operations teams to lines of business, needs the capacity to contribute to AI in some way, in a manner of their choosing. That’s the beauty of InstructLab and the potential of RHEL AI – it brings the accessibility of open source to the often-closed world of AI.
This is where Red Hat’s AI product strategy is going. Our history embodies our philosophy. We enabled the power of open source for Linux, Kubernetes and hybrid cloud computing for the enterprise.
Now, we’re doing the same for AI. Everyone can benefit from AI, so everyone should be able to access and contribute to it. Let’s do it in the open.
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.
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.
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.
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.
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.
Opera has announced that it will be collaborating with Google Cloud to integrate Google’s Gemini AI models into its Aria browser AI. This partnership leverages the power of Google’s large language models (LLMs) to enhance Opera’s existing AI features. This integration promises to deliver a range of benefits to Opera users, including improved access to information, enhanced performance, and a more intuitive browsing experience.
The integration of Google’s Gemini AI models into Aria will manifest in several ways for Opera users. One key benefit is the ability to access and process information more efficiently. By leveraging the power of AI, Opera can provide users with more relevant search results and content suggestions. Additionally, the Gemini AI models can enhance browser performance, leading to faster loading times and a smoother overall browsing experience.
The partnership will also extend beyond core functionalities. Opera also plans to utilize Google’s AI models for image generation and text-to-voice capabilities. These features offer exciting possibilities for content creation and information consumption within the browser itself.
The integration of Google’s Gemini AI models into Opera’s Aria browser AI marks a significant step forward for the company. This collaboration has the potential to redefine the browsing experience for users, offering a more intelligent, efficient, and user-friendly way to navigate the web.
Artificial Intelligence (GenAI) promises to be more transformative than any other technology in recent memory, with the power it possesses to give rise to new industries and professions while propelling the global economy toward a new era of prosperity. Demand for data processing is expected to grow exponentially with AI as data is essential to how AI systems learn and make decisions. AI’s ability to turn mountains of data into insights requires compute power, making data centre performance critical to our ability to leverage this transformative technology.
As with any generational technology, there will be challenges – especially the environmental impact of AI due to the energy and data centre resources required to run larger computing models. While organisations seek to embrace the many benefits of AI, they are also keenly aware of making progress toward their sustainability goals. Data centre energy use and emissions would probe serious issues towards high carbon footprint but when approached mindfully, AI infrastructure development and adoption in data centres can provide a path to more sustainable operations.
As experts in data and IT infrastructure, Dell Technologies believes sustainability will be integral to the success of AI technology through an organisation’s commitment to help offset the environmental impact of AI and harness the potential of AI to support climate-related solutions.
Generated with Microsoft Copilot
While AI requires significant compute power, it currently represents a small fraction of IT’s global energy consumption. To manage AI’s growing carbon footprint, data centre operators must embrace sustainable data centre investments and practices. Data centre energy use remained stable over the last decade (around 1% of global electricity demand according to the International Energy Agency), even with growing technology workloads and traffic. To offset the environmental impact of AI, greater control over data centre energy consumption is increasingly becoming a top priority, and there are tools available to do this:
Minimise AI’s carbon footprint through modern, energy-efficient servers and storage devices, and environmentally responsible cooling methods, while powering data centres with renewable energy. At Dell, we prioritise running larger data models in our data centres that are powered by 100% renewable energy.
Right-size AI workloads and data centre economics. While some organisations will benefit from larger general-purpose large language models (LLMs), many organisations only require domain- or enterprise-specific implementations. Right-sizing compute requirements and infrastructure can support greater data centre efficiency. And, flexible “pay as you go” spending models can also help organisations save on data centre costs while supporting sustainable IT infrastructure.
Responsibly retire inefficient hardware to optimise data centre performance and energy consumption, while reducing e-waste and keeping recycled materials in use longer.
AI solutions to environmental challenges
As sustainable data centres can help to offset AI’s carbon footprint, this technology can also be used to track and analyse massive amounts of data to ultimately address some of our planet’s biggest challenges, such as climate change, pollution and deforestation. For example, Dell is helping Siemens build smarter buildings with AI. Siemens helps customers reduce their buildings’ carbon footprints by leveraging edge and AI technologies to address building performance issues, like optimising HVAC systems, predicting energy demand and identifying energy leaks in real time.
AI can be used to optimise energy grids, design more efficient transportation systems and develop new ways to capture and store carbon dioxide. The University of Cambridge and Dell collaborated to support advanced and sustainable research through AI. By providing powerful, energy-efficient supercomputing to scientists and organisations, the University of Cambridge drives breakthroughs in innovation that rely on AI. This solution not only enables AI to process enormous volumes of data more quickly, but it does so more efficiently, with less power consumed.
Within data centre operations, AI can be used to improve monitoring and workload placement to optimise efficiency and reduce energy costs. There is no “either/or” decisions, rather efficient data centre infrastructure is integral to AI’s evolution. For this to succeed, advocates and organisations must see sustainability as a vital part of AI computing infrastructure. According to IDC, the number one sustainability priority for IT planning and procurement among IT decisionmakers is reducing data centre energy consumption[i]. At the intersection of sustainability and business priorities, AI can support environmental stewardship at the same time it drives digital transformation.
Leading by example
Drawing the narrative closer to home – Malaysia continues to be a preferred choice for data centres in ASEAN. As the data centre market continues to expand in Asia, Malaysia’s data centre market demands continue to be on the rise as the country is expected to receive 2.25 billion USD by 2028. Meanwhile, the nation is determined to achieve net zero emissions by 2050 – driven by a vision of a low-carbon future highlighted by various national policies such as the National Energy Transition Roadmap (NETR), Hydrogen Economy and Technology Roadmap (HETR) and Energy Efficiency and Conservation Act 2023 (EECA).
Key Highlights from Dell’s Sustainability Efforts per the corporate website
Technology has an important role in addressing environmental challenges. Dell aims to move the industry forward both through modernising data centre technology and modelling the “both/and” benefits of sustainable data centres. We have ambitious goals and we also see the immense benefits AI can bring to protecting our planet. While working to offset the environmental impact of AI, we will also innovate to develop solutions that leverage the power of AI to address some of our biggest environmental challenges.
Generative AI or GenAI has gone from being buzzwords to a mainstay in most people’s work and life. However, not everyone knows how to leverage Gen AI fully. As a matter of fact, it wouldn’t be too farfetched to say that only a handful of people using Gen AI know how to fully utilize it. It’s with this backdrop and the increasing dissenting voice against leveraging Gen AI technologies that Coursera saw fit to launch Gen AI Academy to better inform and educate people to leverage the possibilities that open up with Gen AI.
Coursera’s Gen AI Academy offers courses that cover the basics and more advanced knowledge sets. This has been differentiated into GenAI Academy for Everyone and GenAI Academy for Executives. The former allows you to get the basics, the core principles of Generative AI, its applications and the impact it can have. It will teach you how to leverage Gen AI better for productivity and innovation. On the other hand, Gen AI Academy for Executives builds on the basics and allows team leaders and managers to understand the subject matter better, allowing them to navigate and lead teams around complex matters such as ethics and strategic applications of Gen AI in achieving their team goals.
You know that saying, “Those who can’t do, teach”? That doesn’t apply to Coursera. The company has been developing features and tools for both learners and teachers that leverage this emerging tech. These new experiences, not only make learning more accessible, it also simplifies and optimises workflows.
Jeff Maggioncalda, CEO of Coursera, demonstrating the Course Builder tool during a presentation at the GenAI Academy launch in Malaysia
Coursera’s Course Builder leverages Generative AI to help develop customized courses. The tool helps author and customise courses based on prompts from the user. These prompts can be used to develop everything from course structure, course descriptions, readings, assignments and even glossaries. It will even help authors leverage the modules that are already available from Coursera’s participating world-class industry and academic partners.
Together with this, Coursera is also introducing Coursera Coach in beta. This tool will be available to Coursera for Business, Coursera for Government and Coursera Plus users. It leverages Gen AI to assist in learning. It will be able to provide personalized feedback, answer questions and provide lecture summaries and resources to help users learn. It can even communicate in the local language. Coursera has also made learning more accessible by translating more than 4,400 courses in Simplified Chinese.
Coursera’s GenAI Academy isn’t just launching now. It launched earlier in the year but is now being made available to Malaysia with some localisations and translations to make the courses more accessible. The courses offered in Gen AI Academy are developed in collaboration with industry leaders like AWS, Microsoft, IBM and Google as well as leading education institutions. This lineup with Coursera’s lofty goals to help Malaysia address the emerging need for Generative AI adeptness in the workforce. Upskilling and training to leverage emerging technologies will be crucial for the growth of Malaysia’s Digital Economy.
In an era marked by swift technological progress which is often seen as disruptors to jobs, it’s time to shift our perspective. As the job landscape undergoes transformation, many individuals find themselves standing at a crossroads in the evolving workforce. Instead of fearing obsolescence, people are embracing the new era of technology-enabled learning and reskilling. In Malaysia, 96% of employers are either currently using or planning to use GenAI technology in 2024. This means that employees will now need to further build their skills to keep up with evolving job descriptions. Fortunately, a wide array of online courses, skilling content, AI-guided career counselling, and virtual reality simulations are readily available to assist employees in advancing or pivoting their career paths.
Welcome to the era where technology is spearheading a reskilling and upskilling revolution that transforms careers. To access this, you don’t have to go to a university and attend classes in person – today, there are a variety of options, from online courses to complimentary upskilling apps available to anyone seeking it.
Unlocking the potential of upskilling and reskilling in Southeast Asia
Southeast Asia is one of the fastest-growing economies in the world and is home to the third-largest labour force which is predominantly young. In Malaysia, the labour force makes up 16.97 million persons, indicating that there is an enormous potential for skilled labour. Yet, job participation, skill development and productivity levels are still lagging behind. Over the past decade, labour force participation in some Southeast Asian countries has gradually increased, while others have seen their rates fall significantly. What’s more, high rates of informal employment and a lack of support for older workers has slowed the region’s shift to a knowledge-based economy.
Research by PwC indicates that upskilling and reskilling, with a focus on digital-first capabilities, can potentially boost Southeast Asia’s GDP by 4% by 2030, creating nearly 680,000 new jobs. Importantly, it helps to create an agile and resilient workforce in the face of economic uncertainty and geopolitical strife.
Technology as a learning tool
In light of these circumstances, we urgently need to rethink our approach to upskilling. Lifelong learning programs, utilising technology to deliver online content, offer greater benefits to adults and older professionals seeking fresh challenges beyond the limited courses offered by traditional education institutions. In markets like Malaysia, digital skills are the top focus for employees, with most still prioritising basic digital skills (83.1%).
Technology empowers learners, giving them control and personalisation. This allows them to set their own pace since lectures and materials are pre-recorded, or they can participate in virtual lessons via online platforms such as Jobstreet’s Career Hub powered by seekMax, eliminating the need for in-person attendance. Through online platform learning such as this, the learner will be able to focus on gaining the skills they want to prioritise to be more suited for their next job.
In comparison to full-time universities that emphasise rigorous academics, upskilling and lifelong learning institutions provide easily digestible, bite-sized content for rapid knowledge acquisition. Furthermore, these modern educational models are designed to accommodate busy schedules and shorter attention spans, placing a strong emphasis on accessibility and convenience.
What’s particularly significant is that these accessible platforms empower learners to develop both hard and soft skills. For instance, individuals in today’s workforce can equip themselves with essential skills such as salary negotiation and leadership.
Enhancing the upskilling experience
Once considered staid, lifelong learning platforms are continuously innovating to improve the social aspects of their programs. To do this, many programs promote learning through collaboration and communication. Talent embarking on a lifelong learning journey can engage in group learning activities to interact with course material, forums, quizzes, masterclasses, or online discussions.
With the rise of online communities, it’s easier than ever for a working professional to gain relevant and practical insights from like-minded peers or industry experts who can help them navigate their careers by providing tailored advice.
This is exactly the sort of positive learning environment we’re creating with Jobstreet’s Career Hub powered by seekMAX, SEEK’s free innovative in-app learning and community platform that’s designed for on-the-go learners – with access to a wealth of content as well as industry experts. Since launch, nearly 1 in 3 monthly active users of the Jobstreet platform have already started using seekMAX as a tool to learn new skills and share insights amongst the community.
As the world’s workforce continues to evolve – lifelong learning platforms are crucial to personal growth and professional success. Lean into the opportunities they offer to stay relevant and competitive. The public and private sectors must also encourage this mindset in order to build a future-proof workforce.
Motorola recently made big announcements at Lenovo Tech World 2023, including a new bendable concept phone and a new AI platform called MotoAI.
MotoAI – Motorola’s foray into AI
MotoAI is Motorola’s answer to AI personal assistants and is being developed to power its future PCs and smartphones. The platform is expected to include a variety of AI features, including personalisation unique to the user, a sophisticated personal assistant, and enhanced data privacy.
This AI model will never stop learning and is able to adapt to the user’s habits and preferences over time. This will allow MotoAI to provide users with more helpful suggestions on top of unique personalisation. Naturally, this means there will be enhanced data privacy to give users more control over their data.
It’s unclear when the MotoAI will be fully released to the public, but it will be interesting to see what Motorala has in store in the near future. With how they have been investing heavily into AI and other innovative tech like their bendable phones, it seems like Motorola aims to play in the same leagues as the other big AI players.
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