Sony Music Entertainment raising its voice over a critical issue: the unauthorized use of music to train artificial intelligence (AI) systems. The company has reportedly sent warnings to over 700 tech companies, expressing concerns that their music is being used in AI development without proper licensing agreements.
Training AI models, particularly Generative AI models like Large Language Models (LLMs), often involves feeding them massive amounts of data. Music can be a valuable source of data for AI systems learning about audio processing, language generation, or even music composition itself. However, Sony Music argues that using copyrighted music in this way requires explicit permission from rights holders.
Sony Music’s stance highlights a grey area in the ongoing conversation surrounding AI development and copyright. The company emphasizes the need for fair compensation for artists whose music contributes to the creation of powerful AI tools. Additionally, Sony Music seeks transparency, urging tech companies to disclose how they are using music data in their AI training processes. While Sony Music is leading the charge, this concern extends beyond any single company. Other music labels and artist representatives are likely to voice similar concerns as the use of AI continues to grow across various industries.
Moving forward, a collaborative approach is crucial. Open communication between the music industry and tech companies can lead to the development of fair licensing practices for using music data in AI training. Additionally, exploring opt-out or opt-in mechanisms for artists who may not want their music included in AI development could be a potential solution.
The potential impact of AI on the creative process remains a topic of debate. While AI-powered tools could offer exciting possibilities for music composition and artist collaboration, concerns linger about the potential for homogenization or the displacement of human creativity. Ultimately, the future of AI and music hinges on navigating these complexities. Finding a balance between technological advancements and artistic integrity will be crucial in determining how AI shapes the music industry in the years to come.
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.
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.
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.
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.
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 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.
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 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.
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.
Where it was once heavily reliant on customers’ experience through physical interactions, it is now primarily dominated by digital experiences where bots dominate these interactions. From a customer interaction model where nearly every experience the consumer goes through is positive or unique, it is now one where AI and Bots guide consumers coldly through touchpoints. Oftentimes, this paradigm and approach leave customers dissatisfied and irate.
This is where Infobip is now looking to change things by looking at the emerging behavioural trends of consumers. Today’s consumers want things to be faster, more efficient and personalised all while being online. The company is placing their focus on adapting Generative AI into its systems with the intent of providing customers with a more personalized experience shopping online akin to the experience they’ve become accustomed to offline.
Back to Basics – Interactions & Experiences Matter
“…It goes all back to the basics.” That is the overarching theme of the solutions that Infobip is developing. Miguel Turnbull, the Director of Strategic Partnerships at Infobip explains a fundamental shift in the paradigm of customer interactions, “The goal is to bring back personalization and the uniqueness of these interactions to a digital experience. So still, in the comfort of your phone, being able to have the same experience you would have if you physically went to a shop.”
Infobip’s Executives at the recent panel discussion.
This could not be more true with the shift of consumers from buying offline to buying online. A phenomenon that was put into overdrive over the course of the recent pandemic. In fact, the business landscape has changed so drastically we’re seeing the re-emergence of experience-centric behaviours rather than choice and brand-driven ones.
George Ni, Regional Director of Partnerships and Alliances for APAC at Infobip explains, “It is about experiences as Miguel said, but it is also about timely responses meaning that I want it tomorrow, I want it now and how do I quickly get into a particular experience platform? It has evolved that it is no longer a single point-to-point service provision but a single point-to-multi-point or multi-point to multi-point service provision and this is what we call the ecosystem. Meaning that a vendor who must survive in this business today will be required to survive in this greater ecosystem.”
An Omnichannel Solution for a Multifaceted Problem
Infobip is developing solutions that will help businesses leverage business insights and interconnectivity. The mainstay of their offering – the Infobip exchange marketplace – empowers businesses to stay on the ball by democratising the marketplace and allowing businesses to more readily monetize their intellectual properties. Of course, with an open forum like the Infobip marketplace, businesses are also able to collaborate and develop solutions that can then be provisioned.
Infobip’s solution in assisting future partners or businesses in this era of change is by providing an Omnichannel Platform; A platform provides a range of services across channels seamlessly. Together with this, they have also created user-friendly stack automation tools known as SaaS (Software as a service) layers consisting of diverse building blocks or APIs that partners can easily incorporate into their platform.
Conversational Cloud with Generative AI in Forging Lasting Business-Customer Relationships
In leveraging these tools, brands and businesses will be able to leverage their insights to forge lasting relationships – albeit digitally – with their customers. In fact, according to Velid Begovic, Infobip’s Vice President of Revenue in APAC, the cornerstone of this lasting relationship is smoother, more thoughtful and efficient communication between brands and their audiences. This can be achieved by using an emerging technology called the conversational cloud.
Velid Begovic, Infobip’s Vice President of Revenue in APAC, expounded his views on the shift in paradigm and the emergence of the conversational cloud.
He explains, “The rise of conversational cloud, a set of cloud-based solutions facilitating business-customer interactions, is driven by the shift to mobile-first online experiences. Brands are moving beyond reactive social media use to adopt a proactive conversational strategy. WhatsApp for business is gaining traction, especially in regions like Malaysia. Brands are integrating Software as a Service (SaaS) solutions to extend conversations across various channels, including in-app, popular OTT platforms, and traditional communication channels. This shift reflects a broader transformation of transactions into conversations, emphasizing the importance of immediate and responsive communication. Brands embracing a conversational-first approach aim to provide a personalized and outstanding customer experience, setting the stage for success.”
We’re seeing an increase in the importance of these interactions. Platforms such as Meta’s Facebook and Instagram now rate pages and businesses on their responsiveness. While we can use chatbots, Generative AI and conversational cloud are the natural next steps in developing solutions that will allow businesses of any size to forge lasting relationships with their customers.
A Delicate Balance Between Customer Experience (CX) and Customer Service (CS)
It has become more apparent that customer service and customer experience go hand in hand. However, there needs to be a delicate balance between the two; one that is unique to each business but makes all the difference in a world where CX and CS go hand-in-hand. According to a recent McKinsey report, 71% of customers expect relevant and personalized attention from brands and are frustrated by not getting quality responses, especially through online engagements.
Infobip is looking to drive a shift in paradigm to alleviate and turn around the outcomes from these customer interactions. According to Turnbull, “The McKinsey report is unique, as we also have reports from our groups stating that 75% of people are tired of talking to robotised machines.”. He further explains, “In a world of abundant choices and rapid technological advancements, consumers’ impatience is fueled by the vast information and options available. Brands must adapt by promptly delivering information and responding to customer needs, the increasing pace of technological development, using the example of ChatGPT as a trend that gained widespread attention. This technology, integrated into their platform in collaboration with Microsoft, aims to provide a humanized experience through chatbots its why Infobip was the first to integrate their platform ChatGPT technology. By infusing personality into these automated solutions, brands can enhance the consumer-brand relationship. This personalized approach is crucial as brands compete fiercely for customer attention and loyalty.”
At The Edge of A Paradigm Shift, Poised to Lead
It comes as no surprise then that businesses will need to inevitably invest in technologies that will enhance and improve their CX. It would then be prudent for businesses to look at solutions that will not only provide short-term advantages but also long-term outcomes.
Source: Infobip
The Malaysian business landscape has already, albeit defiantly, tapped into this strategy. However, the nation still remains an early adopter of technologies which empower this strategy. This can be seen in both individual and large-scale aspects like governments and businesses. In fact, Malaysia’s speed in moving from a nation depending on cash to a cashless one demonstrates the nation’s willingness to adopt and adapt to technologies in day-to-day business systems.
While Infobip continues to deliver solutions in the form of data centres, SaaS stacks and even advisory, it falls to the businesses themselves to develop policies and approaches that will minimize exposure and keep potential threats at bay. With growing concern among businesses and the general public about data privacy, it would be prudent that businesses then make strides to deploy these technologies tactfully.
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.
Digitalization is affecting more and more businesses, and fashion is no exception. Penjana Kapital Sdn Bhd and Sea Limited (Malaysia) recently worked together to put on Tech in Fashion, an event that showcased fashion-tech innovations.
Penjana CEO, Taufiq Iskandar, addressing the crowd at Tech in Fashion
Textile waste poses a big problem for the environment because old clothes end up in landfills. It is one of the problems that the fashion industry must wrestle with. However, the use of cutting-edge technology is changing the way people buy clothes and making it more environmentally friendly. Four businesses were chosen to show off their new ideas, which included making eco-friendly fabrics, improving the local textile ecosystem, and making affordable clothes for everyday use.
At the showcase, Kloth Circularity Malaysia, Nanotextile Sdn Bhd, Kualesa,andOxwhite showed off how technology has helped them adapt to the times and stay successful. They also showcased sustainable practices during the “Pitch to Runway” workshop.
From left: Founders from Oxwhite, CK Chang; Kloth Circularity, Sarah Kedah; Nanotextile, Thomas Ong; & Kualesa, Haris Kamal.
When it comes to tackling waste, Sarah Kedah, Co-Founder of Kloth Circularity Malaysia, talked about how green technology can revolutionize the textile business. Kloth Circularity Malaysia turned old plastic bottles into valuable raw materials that can be used to make new clothes. By doing this, they have effectively made Kloth Circularity a part of the circular economy by creating a cycle of sustainability that will not only lessen waste but help with the economy as well.
With Generative AI (Gen AI) taking centre stage, it comes as no surprise that some companies have incorporated it into their workflows. Haris Kamal, Co-Founder and Chief Operating Officer, said that Kualesa is using Gen AI and large language models (LLM) to improve marketing efficiency and automate predictive personalised email processes to increase conversion rates.
Entrepreneurs in the fashion industry can do well in this changing world by adopting digitalization, technology, and new ideas. As a tech company and e-commerce enabler, Sea is dedicated to helping sellers on its subsidiary Shopee’s platform. It is widely accepted that buying behaviours are rapidly changing and it is no different for textiles and fashion.
It seems like Generative AI isn’t going anywhere anytime soon. Amazon Web Services, Inc. (AWS) is bringing a whole suite of Generative AI innovations to its services stack. These innovations are set to empower organizations of all sizes, enabling them to develop cutting-edge generative AI applications, enhance employee productivity, and transform their businesses.
Amazon Bedrock Lays the Foundations for Wider Generative AI Applications & Adoption
Leading the charge is Amazon Bedrock, a fully managed service that simplifies the development of generative AI applications. This service offers a variety of foundation models (FMs) from top AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. These FMs are versatile and can be applied to a wide range of use cases, from content creation to drug discovery.
One key challenge for businesses interested in adopting generative AI has been finding the right FM for their specific needs. Amazon Bedrock solves this problem by providing access to a diverse selection of FMs via a single application programming interface (API). It also removes the need for specialised hardware deployments. This streamlines the process and eliminates the complexity of managing multiple models and infrastructures.
Unlocking the Power of Generative AI Through Amazon Titan Embeddings
One of the highlights is the general availability of Amazon Titan Embeddings. This family of models, created and pre-trained by AWS, includes a large language model (LLM) known as Amazon Titan Embeddings. This LLM converts text into numerical representations called embeddings, which are crucial for tasks like search, personalization, and retrieval-augmented generation (RAG).
What sets Amazon Titan Embeddings apart is its ability to support more than 25 languages and handle context lengths of up to 8,192 tokens. This makes it highly versatile and suitable for various applications, from processing single words to entire documents. Its output vectors, boasting 1,536 dimensions, ensure both accuracy and low-latency performance.
Integration with Meta’s Llama 2
In the coming weeks, Amazon Bedrock will also offer Llama 2, Meta’s latest large language model. Llama 2 models come with significant enhancements, having been trained on 40% more data and featuring a longer context length of 4,000 tokens. These improvements make Llama 2 ideal for dialogue-based applications, providing fast responses on AWS infrastructure without the need for complex setup and management.
Securely Customise Amazon CodeWhisperer Suggestions with Your Own Codebase
For developers, Amazon CodeWhisperer has been a game-changer. This AI-powered coding companion is trained on billions of lines of Amazon and publicly available code, making it a valuable tool for improving developer productivity. Now, developers can securely customize CodeWhisperer’s code suggestions using their private codebase, addressing the challenges of working with internal, proprietary code.
This customization capability streamlines the process of finding and incorporating internal code into applications. Developers save time, as they no longer need to manually search through extensive internal code repositories. Additionally, administrators can centrally manage customizations, ensuring adherence to quality and security standards.
Generative Business Intelligence with Amazon QuickSight
Amazon QuickSight, a unified business intelligence (BI) service, is introducing Generative BI authoring capabilities. These capabilities go beyond answering structured queries and allow business analysts to easily create and customize visuals using natural-language commands. Analysts can describe their desired outcome, and QuickSight generates compelling visuals, reducing the time spent on manual tasks like data source identification and visualization creation.
Availability
Amazon Bedrock is now generally available, offering businesses the opportunity to leverage the power of generative AI. Amazon Titan Embeddings is also available, while Llama 2 is set to launch in the next few weeks. Customizations for Amazon CodeWhisperer are coming soon while Generative BI authoring capabilities in Amazon QuickSight are already available on AWS.
