Tag Archives: Artificial Intelligence

Business, Contributed

Tech Solutions Executives Must Consider Levelling Up Their Team

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This article is contributed by Varinderjit Singh, General Manager, Lenovo Malaysia

Today, integrating forward-thinking technology is not an option, but a key business strategy that touches nearly every part of a growing business. Not only do customers expect customized on-demand services, but employees do too.

According to recent research, nearly half (48.6%) of workers think using the right tech increases their productivity, and 35.8% say being equipped with appropriate technology helps make their job more flexible. Businesses small and large that want to take team creativity and productivity to the next level must leverage technology that can drive faster results and adapt to new trends in the market. It is imperative that enterprises harness modern technology such as mobile apps, AI-enabled services, and cloud automation as tools for their teams to help simplify or automate time-consuming day-to-day activities so they can focus on more challenging work.

Taking your team to the next level in our increasingly digitally driven world will require businesses to find a balance between implementing emerging tech for tasks that can be automated, and training their employees on how to provide personalized experiences for their clientele.

Here are the top three emerging technologies all business owners should have on their radar to scale their business efficiently.

Hi-speed Network Infrastructure

Slow and unstable connectivity is a major obstacle for a distributed workforce that is reliant on their PCs’ efficient technology to lead collaborative brainstorms, listen and engage during monthly planning meetings, and/or connect with team members during 1:1 meetings. Wifi 6E offers an advanced band connection needed for optimized work-from-home, online learning, live streaming, and faster speed for all your connected devices.  Emerging technologies like Wifi 6E will be instrumental in delivering high bandwidth, ultra-low latency connectivity and power to devices all over the world and will expand the landscape of solutions for businesses that want to grow.

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While devices must be faster and more functional, it is imperative that design and engineering teams also offer new possibilities of thinner and more flexible designs for employees on the go. For example, global PC manufacturers are designing unique laptops with extended battery life that allows you to work through the day uninterrupted—even with versatile usage modes on the go. The Lenovo ThinkPad X1 Carbon operating on Windows 11 Pro is a great laptop for employees, especially in the hybrid working world. Windows 11 is the most secure Windows ever. Businesses report a 58% drop in security incidents with Windows 11 Pro devices.1 Forward-thinking technology equipped with always-on always-connected capability will be key for business continuity.

Cloud Automation

Cloud automation is an easy entry point for many businesses that are looking to expedite their processes through tech-enabled automation. As data, apps and workloads shift to the cloud, it can improve day-to-day operations and workflow, helping small-to-medium business (SMB) owners in particular automate tasks such as scheduling appointments, content marketing management and tracking business expenses in one place. By freeing up some time with the help of automation solutions, leaders can help their team build skills to become more productive through various training programs or employee enrichment opportunities.  These are a few examples of how digital transformation can be harnessed to enable businesses of all sizes to achieve efficiency, productivity and smart collaboration.

By automating certain tasks, business owners will provide employees with more time to deliver thoughtful and creative work. However, the prospect of automation can create uncertainty, both regarding job security and changes to day-to-day tasks. To reduce these fears, it is essential to communicate with employees throughout the entire process. The main message to reinforce is, “Automation technology is being used to support staff, not replace their roles.” Through open communication and continuous learning, employees will be given plenty of enrichment opportunities and stay loyal and engaged in their work and their companies long-term success.

AI-Enabled Services and Products

AI-enabled services are now in our homes, cars and personal computing technology, and they can also play a role in helping businesses address common challenges such as staffing, security monitoring, finance management, personalization of services, and more.

Some workplaces have incorporated AI chatbots to provide employees with resources around the clock, adding convenience for those seeking answers to common questions about employee benefits, scheduling, insurance, vacation availability and sick time. In turn, by allowing some HR processes to be accomplished without human intervention, chatbots offer a better allocation of HR staff members’ time toward addressing more complex employee concerns.

In fact, companies that smartly adapt to incorporating AI-enabled services and products have a competitive advantage. AI and machine learning can enable targeted data analysis, so employees can do creative and social tasks that AI simply cannot. Not only can companies save money by using AI to do repetitive work, but teams are able to focus their skills on more innovative assignments and, therefore, be more productive.

Uplevel your business by being adaptable and strategic

To take your team and company to the next level, businesses must strategically implement the proper infrastructure, cloud automation and AI tools that will help their business scale. Today, businesses of all sizes require client and data center infrastructure that enables growth rather than restricts it. As technology rapidly evolves, businesses need the ability to integrate new technologies and workloads efficiently and seamlessly, often within resource, budget and capital restrictions. The best way to ensure your plan is suited for growth is to routinely check in with your team, evaluate your structure and ensure it is adaptable for the unforeseeable obstacles that come with running a successful business.

Business, News

VMware Private AI Foundation with NVIDIA Looks To Enable Entreprises to Embrace Generative AI

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VMware Inc. and NVIDIA (NASDAQ: NVDA) are expanding their strategic partnership. Their mission? To ready the multitude of enterprises dependent on VMware’s cloud infrastructure for the imminent generative AI era.

Generative AI, the driving force behind intelligent chatbots, assistants, search engines, and summarization tools, is revolutionizing industries. VMware Private AI Foundation with NVIDIA is designed to democratize this transformation. It offers an integrated solution, seamlessly combining generative AI software with NVIDIA’s advanced accelerated computing, all within VMware Cloud Foundation, optimized for AI applications.

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The synergy between generative AI and multi-cloud environments is profound. Enterprise data resides in various locations, including data centres, edge devices, and diverse cloud platforms. VMware and NVIDIA aim to empower enterprises to harness generative AI while preserving data privacy, ensuring security, and retaining control.

Enterprises are in a race to implement generative AI, with the potential to contribute up to a staggering $4.4 trillion annually to the global economy. VMware Private AI Foundation with NVIDIA is stepping in to empower them to expedite this journey. It enables enterprises to customize large language models (LLMs), construct secure and private models for internal use, offer generative AI as a service, and scale inference workloads securely.

With emerging concerns surrounding data privacy and security with deploying Generative AI tools like ChatGPT at an organisational level, VMware Private AI Foundation with NVIDIA empowers organizations to use the full capabilities of Generative AI without the worry of data leaks. Enterprises can deploy AI services close to their data, safeguarding data privacy and ensuring secure access.

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It also provides them with diverse options for constructing and running models, including leading OEM hardware configurations without ruling out the potential integration with public clouds. This choice doesn’t come at the expense of performance with NVIDIA’s accelerated infrastructure. It promises performance equal to or even surpassing bare-metal solutions.

When enterprises are ready to scale, they can do so seamlessly and without much hassle. GPU scaling optimizations in virtualized environments facilitate the efficient scaling of AI workloads across multiple nodes. Scaling and implementation costs can also be minimized through VMware Private AI Foundation with NVIDIA. This is thanks to resource optimization and a shared resource environment fostered by the platform. In fact, the platform is built with fast prototyping capabilities with pre-installed frameworks and libraries allowing enterprises to fail quickly and achieve development milestones at an accelerated rate.

Aside from this, the platform will be deployed on performance-optimized NVMe storage and GPUDirect® storage over RDMA for seamless data transfer. Networking performance is also sustained and accelerated with deep integration between vSphere and NVIDIA NVSwitch™ technology ensuring efficient multi-GPU execution.

The platform integrates NVIDIA NeMo, a cloud-native framework simplifying the creation, customization, and deployment of generative AI models. NeMo offers customization frameworks, guardrail toolkits, data curation tools, and pre-trained models. It provides enterprises with an efficient, cost-effective, and expeditious path to adopting generative AI. For production deployment, NeMo leverages TensorRT for Large Language Models (TRT-LLM), optimizing inference performance on the latest LLMs on NVIDIA GPUs.

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VMware Private AI Foundation with NVIDIA receives robust support from Dell Technologies, Hewlett Packard Enterprise, and Lenovo. These partners will offer systems equipped with NVIDIA L40S GPUs, NVIDIA BlueField®-3 DPUs, and NVIDIA ConnectX®-7 SmartNICs. These components will supercharge enterprise LLM customization and inference workloads.

VMware aims to release VMware Private AI Foundation with NVIDIA in early 2024, marking the continuation of a decade-long partnership that has optimized VMware’s cloud infrastructure to run NVIDIA AI Enterprise with the performance of bare metal.

Business, News

Alibaba Cloud Unveils Open-Source AI Models for Understanding Images and Text

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Alibaba Cloud has recently introduced two open-source large vision language models: the Qwen-VL and the Qwen-VL-Chat. These models are designed to understand both images and text, making them versatile tools for various tasks in both English and Chinese.

Qwen-VL understands images and texts

The Qwen-VL is an extension of Alibaba Cloud’s own AI Chatbot, Tongyi Qianwen and is capable of comprehending image inputs and text prompts. It works like a smart assistant that can look at pictures and answer open-ended questions about them.

Alibaba Cloud stated Qwen-VL is capable of handling higher-resolution image inputs compared to other open-source models. It can also engage in various visual language tasks, including captioning, question answering, and object detection in pictures.

Qwen-VL-Chat can perform creative tasks

On the other hand, Qwen-VL-Chat takes things a step further by enabling complex interactions. It can perform creative tasks like writing poetry and stories based on input images, summarising the content of multiple pictures, and solving math problems displayed in images.

According to benchmark tests conducted by Alibaba Cloud, Qwen-VL-Chat excels in text-image dialogue and able to answer questions in both Chinese and English

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Both open-source models are accessible globally

This is exciting news to the world because Alibaba Cloud is sharing these models with researchers and academic institutions worldwide. Alibaba Cloud made the code, weights, and documentation available for free.

This means more people can use these models for various tasks. Companies with over 100 million monthly active users can also request a licence for commercial use.

These models have the potential to change how we interact with images online. For example, they could assist visually impaired individuals with online shopping by describing products in images.

For more detailed information, you can read the full story on Alizila and find additional details about Qwen-VL and Qwen-VL-Chat on ModelScope, HuggingFace, and GitHub pages. The research paper detailing the model is also available here.

Business, Editorial

Meta Empowers Businesses to Leverage AI & Insights for Business Messaging

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There’s no denying that businesses that fail to engage with their customers are doomed to stagnate and eventually die. As a matter of fact, Meta reports that over 1B people are regularly engaging with businesses on Meta platforms. This number isn’t industry specific either, it covers over 55% of every industry.

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Source: Meta Malaysia

Meta continues to innovate on its platforms to allow businesses to leverage them to drive business objectives. Platforms like WhatsApp, Instagram and Facebook continue to be some of the most valuable touchpoints for businesses as it brings a mix of familiarity and proximity to both sides. It also allows businesses to leverage these aspects to build a persona and personality to better relate to its target audience. Recognising these factors, Meta has continually been innovating to allow businesses to leverage its platforms and the latest in technologies that complement them.

Leveraging AI to Ensure Platform Safety and Innovate to Empower Businesses

The latest to join the suite of tools is Artificial Intelligence. That’s not to say that Meta hasn’t used AI before. In fact, Facebook integrated AI into its timeline back in 2006. However, with the surge in interest when it comes to Generative AI, it is quickly becoming more apparent that we are indeed in AI 2.0.

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Source: Meta Malaysia

Using the new advances in AI technology, Meta has quickly adapted to address newer trends and incorporate these advances to drive better results with less data. This also comes in the wake of a growing number of regions and countries clamping down on data privacy and security. The incorporation of Machine Learning algorithms and newer AI 2.0 advancements have led to 82% of hate speech being removed through automated means on platforms like Instagram and Facebook.

Meta is also implementing new algorithms that are created to use less data to deliver comparable or better results for businesses. To date, these algorithms have delivered a 20% increase in conversions for businesses leveraging them. With these algorithm’s working in the background, it falls to businesses to leverage them to drive business outcomes.

Business Messaging & Continuing the Customer Journey on Meta Platforms

As AI continues to become a deeply integrated factor for business continuity, we have to know and use the tools – paid or otherwise – that will not only allow for better outcomes but also help create a better customer experience.

Meta Business Messaging 3
Source: Meta Malaysia

Meta’s Business Suite and Ads Manager are continually being updated with tools that integrate AI technology to drive better business outcomes. One such tool is Meta’s Creative+ option which appears when you post content to your page. This feature allows you to test up to 4 different creatives to determine which delivers the best results.

Using features like this, businesses are able to extend their reach while keeping costs down. It also allows businesses to leverage the familiarity of the platforms to drive customer loyalty through business messaging. This comes in addition to AI-assisted product discovery with more broadly, AI-determined audiences for better conversions. AI-assisted determination also can help leverage behavioural data to optimise touchpoints based on customer behaviour.

This data can also be used to create chatbots that allow businesses to interact with customers more effectively. These chatbots can be built to suit the unique needs of businesses while still allowing for the flexibility for humans to jump in at any time.

One of the most important things to pay attention to is the trends that are emerging and continually shifting. These trends play a significant role in determining the combination of tools that will fit business needs. More importantly, it will also help determine the best approach for success on Meta’s platforms.

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Meta shared a study on McDonald’s Malaysia leveraged the fact that there is an increasing number of users spending more time-consuming video content on Facebook and Instagram to be the driving force behind their recruitment campaign. Using reels available on Facebook and Instagram, the company was able to communicate the experience of being an employee at a McDonald’s outlet. Of course, the reels produced naturally embellished the experience with some fictional elements to generate interest and convey the business’s policies. This cornerstone content allowed McDonald’s to communicate directly to their target audience – Gen Z.

This falls in line with Meta’s own data which shows that more than 50% of time spent on Facebook and Instagram is spent consuming video content. This includes long-form videos, reels and even stories. In fact, reels may be the best touch point with over 200 Billion plays per day.

Meta’s Just Getting Started with AI 2.0 and Businesses Need to Start Leveraging It Now

It’s only the tip of the iceberg of how AI 2.0 will be impacting our world when it comes to creating consumer journeys, continuing Business Messaging and even creating content. Meta has already announced AI efforts like LLaMA which will no doubt factor into new tools that will come to its platforms in the future.

This will also entail businesses needing to deal with scams head-on hand in hand with regulators and companies like Meta. Meta is already working on identity verifications which will be more widely available to users as the year progresses. However, the company has yet to announce the same verification measures for businesses but we have it on good authority that it will be coming soon.

Business

Vimigo Announces Development of New AI-Integrated HR Mobile App

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Vimigo

After successfully securing RM2.25 million through equity crowdfunding, Vimigo has revealed its new plans to develop an AI-powered HR mobile app and expand across the Asian market. In Malaysia, the company is known for its human resource (HR) performance reward system for startups.

With the funds raised, Vimigo plans to develop an AI-powered HR mobile app. This app will leverage AI to suggest SMART (specific, measurable, attainable, realistic, and time-bound) goals for each employee’s key performance metrics.

The app will also incorporate a gamified performance rewards system, which aims to create tangible progression milestones to motivate employees in a similar way to levelling up in a game. The app is expected to be released on iOS, Android, and web by the end of 2023.

In addition to app development, the company has set its sights on market expansion to several Asian countries, including Taiwan, Singapore, Thailand, Philippines, Indonesia, and Vietnam by 2025.

Business, News

Alibaba Cloud Announces New AI Image Generation Model, Tongyi Wanxiang

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Alibaba Tongyi Wanxiang

Alibaba Cloud has introduced its latest AI image generation model, Tongyi Wanxiang (‘Wanxiang’ means ‘tens of thousands of images’). This model is designed to help businesses improve their creativity by generating high-quality images across different art styles.

Text-to-image generation

The company states that Tongyi Wanxiang is able to generate detailed images in response to text prompts in both Chinese and English. This includes watercolours, oil paintings, sketches, animations, and more. Additionally, It can also transform existing images into new ones with similar styles and apply style transfers to create visually appealing compositions..

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Tongyi Wanxiang is powered by Alibaba Cloud’s advanced technologies and leverages multilingual materials for enhanced training. This AI image generation model optimizes the high-resolution diffusion process to strike a balance between composition accuracy, detail sharpness, and clean backgrounds.

Alibaba Cloud developed it using Composer, the company’s proprietary large model that offers greater control over the final image output, including spatial layout and colour palette.

ModelScopeGPT Launched for Sophisticated AI Tasks

The company has also launched ModelScopeGPT, a versatile framework that utilizes Large Language Models (LLMs) to accomplish complex AI tasks across language, vision, and speech domains. ModelScopeGPT connects with an extensive array of domain-specific expert models, allowing businesses and developers to access and execute the best-suited models for sophisticated AI tasks. The platform is available for free and offers a rich Model-as-a-Service (MaaS) ecosystem.

Business, Editorial

Copilot-ing the Future of Work with Generative AI

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“Artificial Intelligence (AI) is revolutionising the way we work.” This phrase is undoubtedly something that we’ve become so familiar with over the past few years. However, we’ve yet to see the impact of AI outside manufacturing and data science – that is – until now. With generative AI taking centre stage thanks to services like OpenAI’s ChatGP, that phrase couldn’t be more relevant. AI is taking the leap from automation to contextual intelligence which will benefit more people across more industries.

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In the time since the pandemic, we’ve seen a revolution in the digitization of work. A large portion of workers – like ourselves – are still finding themselves working remotely to be more productive and reduce time wasted in commutes. In fact, Microsoft’s 2021 and 2022 Work Trend Index drew sharp focus on the subject. This year, the conversation is turning towards Generative AI and its role in leapfrogging work to the next level.

A Digital Leap with A Heavy Digital Debt

Speaking of the digitization of work, the recent digital leap – while a long time coming – has resulted in workers accumulating digital debt. What exactly is this? It’s that backlog of emails, that information dump, the work chats and even those meetings and their minutes that continue to pile up even as we work through them. While the digital leap we just experienced has been amazing for work and interpersonal communication, we’re finding it harder to cope with the sheer volume of information and communication we generate.

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In fact, Microsoft’s Work Trend Index found that 2 full work days are spent simply dealing with emails and inefficient meetings. This is exacerbated by the fact that we’re in 3 times more meetings at work since the pandemic. Leadership in organisations have also taken notice. They note that workers are spending too much time with their noses to the grindstone and not enough time innovating. This has created an increase in productivity but a lag in results. 77% of Malaysian respondents in Microsoft’s survey noted that they don’t have enough time and energy to get work done. This isn’t surprising given that we’re dealing with a continually growing digital debt.

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“As work evolves with AI, leaders and employees alike are looking at how technology can help them be more productive in their workplace. With AI, there is now an opportunity for us to reimagine the way we work and collaborate in the workplace of the future.”

K Raman, Managing Director of Microsoft Malaysia

AI and, in particular, generative AI like ChatGPT and Microsoft’s Copilot are part of the solution in dealing with this digital debt. They will help workers and leaders discern signals from the immense volume of noise. Relevant information can be distilled from data both internally and on the open web in seconds saving hours of work. What’s more, AI like Copilot will be able to help create effective meetings and eventually create a leap in innovation thanks to the offloading of menial tasks to these AI. In tandem with this, leaders and employees may shift to a more asynchronous form of communication allowing for more effective communications and meetings overall.

AI Isn’t Here to Replace, It’s Here to Augment

With the increased adoption of AI in work, many of us are feeling the pinch of possibly being replaced by a soul-less tool. 62% of the respondents to Microsoft’s Work Trend Index in Malaysia share this concern. While this may be true in essence, what we will expect to see in the coming years is the integration of AI into our work to lessen repetitive work. Perhaps, this will mean that some of our job roles will change.

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We’re already seeing a large portion of workers and leaders willing to offload and delegate work to AI to lessen workloads. A whopping 84% of respondents indicated such. These tasks can be administrative, analytical or even creative. Yes, while it is concerning that even creative tasks can be offloaded to AI, there’s an evolution of work that will be spurred by this which will, hopefully, spur an increase in innovative work and boost productivity. This is where most Malaysian managers find the most value in AI.

Introducing Microsoft 365 Copilot | Your Copilot for Work

However, what will develop is an AI-employee alliance in which work is completed through a complementary pair of AI insight and employee ingenuity. This will necessitate employees and workers to have an aptitude for using AI. While it’s still early days when it comes to discerning skills that are AI-specific in the workforce, Microsoft has identified some key competencies that will be crucial for workers. 90% of leaders already anticipate this need.

A Need for AI Skills to Empower a Better Copilot

That said, employees will need to develop core competencies that will empower them to leverage AI as an integral tool for productivity. While digital skills still remain a pain point for employers, already 76% of Malaysians feel they are ill-equipped when it comes to AI skills.

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The need to use and familiarise yourself with AI tools like ChatGPT cannot be overemphasized at this point. It’s no longer a question of “if” but one of “when” generative AI will make its way into your workflow. Getting to know how to prompt Generative AI tools to get the right outcome will be one of the key competencies of the AI revolution. However, it will also be crucial to understand that these AI tools are simply that – tools to get the work done. They are copilots, not autopilots when it comes to getting work done.

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Source: Facebook

“There is a need for a skilled workforce to reap the benefits of AI-powered technology and solutions. Human-AI collaboration is going to be critical as we shift from AI on autopilot to AI as our copilot. The most pressing opportunity and responsibility for every leader is to understand how to leverage AI to remove the drudgery of work, unleash creativity, and build AI aptitude,”

K Raman, Managing Director of Microsoft Malaysia

Industry leaders like Microsoft are already incorporating AI such as GPT and DALL-E into their offerings. With the recent announcement of Windows getting Bing’s GPT-enabled assistant, it comes as no surprise that Microsoft is also integrating its aptly named ‘Copilot’ into more products. In fact, their integrations are already being tested by some 600 enterprise customers including the likes of Chevron and Goodyear. Products like Microsoft 365 and Microsoft Viva will be benefiting most from this integration.

Next generation AI in Power Platform is changing how you develop low-code solutions

Copilot is already incorporated in products like Outlook, OneNote, Viva Learning, Whiteboard and PowerPoint. In Whiteboard, Copilot will enable more creative and effective meetings and brainstorms on Microsoft Teams. You will be able to prompt Copilot to generate and organise ideas, create designs and even summarize Whiteboard content. In OneNote, Copilot will be able to use prompts to draft plans, generate ideas, create lists and even organize information for easier reference. In apps like Outlook and Viva Learning, natural language will be used to customise learning journeys and empower better writing through tips and suggestions as well as designing learning paths for desired outcomes. PowerPoint will be getting a DALL-E infusion which will allow images to be customised to complete presentations.

As is already evident, the AI revolution is picking up steam. AI is quickly going to spur an evolution of work which will put its role in automation to shame. It will find a space nestled in the day-to-day workings of many industries. Workers like us will need to adopt, adapt and integrate generative AI in a way and at a scale that has not been seen before to accomplish more with less hassle.

Business, Computers, Editorial, Lifestyle, News

[Google I/O 2023] Google Bard – What is That?

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After Google I/O 2023 last week, you might have noticed that your Android smartphone pushing a notification to you. It is a prompt for you to try Google’s updated Bard. Most of you on Google’s email platform (Gmail) might also get an email asking you to try Bard today. If you are familiar with AI (artificial intelligence) news, you might already be familiar with Google’s Bard alongside OpenAI’s ChatGPT. To those, it might sound like a foreign object.

In simple terms, Google Bard is really the Google version of ChatGPT. While ChatGPT is developed by OpenAI, Bard is completely Google. You want to keep in mind that both ChatGPT and Bard are two separate platforms altogether though before jumping to conclusions and say that they are the same things. They are both categorised as generative AI, but they are both different from one another.

Unlike ChatGPT which has existed for some time, and is in its fourth iteration, Google Bard is fresh out of the oven; two months out of the oven, to be fair. Like ChatGPT, Google Bard was launched as an experiment. Like ChatGPT as well, the technology for Google Bard is not exactly new.

What is Google Bard?

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Source: Google

As mentioned, Google Bard is a generative and creative AI by Google. Instead of overcomplicating the explanation, Google’s FAQ says that Google Bard is technically based on their LaMDA (Language Model for Dialogue Applications) AI model, Google’s very own linguistics program written for conversational purposes. When we say conversational, we do not mean that it will be like a regular conversation with a human being, but LaMDA aims to make it close.

To be fair, Google’s conversational AI is not something you have not seen before, you see it with Google Assistant whenever you call out “Hey, Google,” or “Okay, Google”. You can even use Google’s clever Assistant to get you a booking for a restaurant by having Google Assistant make the call and get the booking done, instead of you calling the restaurant yourself. In their demo a few years ago, Google’s Voice Assistant sounded so natural that the other person on the other end of the line could not even tell that they are speaking to an artificial person. This proves that LaMDA works, and has a place in the world. But our many use case of the Google Assistant even with Google Nest systems is prove enough that conversational AI has many uses in the current world.

Bard is not just a conversationalist though. It is more than that, a generative AI of sorts. It still has its roots in LaMDA, but it is a lot more than that now. It is made as a collaborative tool, for you to basically generate ideas, tabulate and make sense of data, help you plan things, help you design tools and steps, collate your calendars, and even use it as a learning tool.

According to Google, Bard is made to create original contents at the request and behest of individual users. Meaning that the algorithm could be different are results can be different from one person to another. Because it is Google, any request or question you post to Bard might prompt Bard to look into hundred or thousands of sources and draw conclusions, or present result in a way the does not infringe copyright or plagiarism laws. In the case that it does take up contents from another source, Bard will acknowledge and cite its sources. Google Bard is not built to write your college essay though, it is built to be a collaborator to manage your work and your life, to make it more seamless somehow over just Googling things. They do actually have a ‘Google It’ button for you to make full use of Google’s search engine though.

It is not a 100% solution for your own research and use case though. Google has mentioned and stressed that Google Bard is an experiment. It is an opportunity for their AI engines to learn even more at an accelerated pace with public input and use. Google Bard is meant to be iterated, which also means that the current form of Google Bard will not be final. They also mention that Google Bard, at its current form will not be 100% accurate at all times; hence, the ‘Google It’ button on Bard. While it is open source, Google also says that Bard is not meant to be used commercially or for advertising purposes at this time.

Why Bard?

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Source: Google

The entire existence of Bard could be a sharp response to OpenAI’s ChatGPT. The success of the open-source AI platform has sort of forced Google to quickly introduce their own AI tool for use to the public. If they are to be believed, Google could offer the most powerful AI tool for the masses.

In the recent Google I/O 2023, Google has officially embraced Bard and announced that they have moved Bard to PaLM 2, an improved language model that offers more capabilities of Google Bard compared to just conversational based on LaMDA model. PaLM 2 now offers Bard the ability to code and program. It also allows Bard to solve even more complex mathematical problems and process through more complex reasoning models that offers Bard the ability to make better decisions over time.

As of Google I/O 2023, Google has opened the Bard experiment to more than 180 countries as of writing and is available in Japanese and Korean. As things go, Google is planning to open the experiment to more regions and make Bard available in about 40 languages. On top of more languages and regions, where the older Google Bard was mostly just conversational via text, the new improvement at Google I/O 2023 adds some visual flavours to your conversations with Bard. They have integrated Goole Lens into Bard and allow you to now scan photos of your things at home and let Bard come up with whatever captions you might want. You can even add photo references to your Google Bard generated itinerary when you travel.

But it is not just the surface updates for Google Bard. For Google I/O 2023, they have announced that Bard is not just a tool that is isolated from any other systems. Google is making the Bard available with an “export” button for collaboration purposes in the form of exporting and running codes on Python. You could directly copy email responses into your Gmail or Google Docs, if you want. If you want more out of Bard, you can even expect Adobe Firefly integration in the coming future for even more powerful generative tools like complete poster designs based on both Google’s and Adobe’s combined algorithms. They have also announced that they are working with more partners like Kayak, OpenTable, ZipRecruiter, Instacart, Wolfram and Khan Academy to get their Google Bard project integrated into their services and products.

In this case, where OpenAI is allowing you to plug its API anywhere and get it working with minor tweaks, Google is not looking to just do that. Google is offering deep integration with their partners to create even more, to become an even more powerful tool in your toolkit for the future. They look to open up even more opportunities and applications for the average user with deeper and more curated collaborations with partnering brands. While that may not necessarily be the best thing to do for some, it is a way forward for more integrated services and solutions to serve individuals and businesses better. It even allows partnering companies to understand their users and customers better in some cases.

Contributed, Editorial

Accelerating AI-driven outcomes with Powerful Super Computing Solutions

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This article is contributed by Mak Chin Wah, Country Manager, Malaysia and General Manager, Telecoms Systems Business, South Asia, Dell Technologies

As artificial intelligence (AI) technology continues to evolve and grows in capability, it’s becoming a growing presence in every aspect of our lives. One needs to look no further than voice assistants, navigation like Waze, or rideshare apps such as Grab, which Malaysians are familiar with.

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Photo by Tara Winstead on Pexels.com

From machine learning and deep learning algorithms that automate manufacturing, natural language processing, video analytics and more, to the use of digital twins that virtually simulate, predict and inform decisions based on real-world conditions, AI helps solve critical modern-life challenges to benefit humanity. In fact, we have digital twin technology to thank for assisting in the bioengineering of vaccines to fight COVID-19.

AI is changing not only what we do but also how we do it — faster and more efficiently.

Advancing Human Progress

For companies like Dell Technologies who are committed to advancing human progress, AI will play a big part in developing solutions to the pressing issues of the 21st century. The 2020s, in particular, are ushering in a fully data-driven period in which AI will assist organisations and industries of all sizes to accelerate intelligent outcomes.

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Organisations can harness their AI endeavours through high-performance computing (HPC) infrastructure solutions that reduce risk, improve processing speed and deliver deeper insights. By extracting value through AI from the massive amounts of data generated across the entire IT landscape — from the core to the cloud —businesses can better tackle challenges and make discoveries to advance large-scale, global progress.

Continuing to Innovate

Through transformative innovation, customers can derive the insights needed to change the course of discovery. For example,  Dell Technologies equipped Monash University Malaysia with top-of-the-line HPC and AI solutions[i] to help accelerate the university’s research and development computing capabilities at its Sunway City campus in Selangor. The solution aims to enhance and accelerate the university’s computation capabilities in solving complex problems across its significant research portfolio.

Financial services, life sciences and oil and gas exploration are just a few of the other computation-intensive applications where enhanced servers will make a difference in achieving meaningful results, for humankind and the planet.

At the heart of AI technology are essential building blocks and solutions that power these activities. For example, Dell’s existing line of PowerEdge servers has already contributed to transformational, life‑changing projects, and will continue to power human progress in this generation and the next.

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The most demanding AI projects require servers that offer distinct advantages – specifically built to deliver higher performance and even more powerful supercomputing results, and yet engineered for the coming generation to support the real-time processing requirements and challenges of AI applications with ease.

In addition to helping deploy more secure and better-managed infrastructure for complex AI operations at mind-boggling modelling speeds, these transformative servers will help meet organisations’ biggest concerns in productivity, efficiency and sustainability, while cutting costs and conserving energy.

Transforming Business and Life

While organisations are in different stages with respect to their adoption of AI, the transformational impact on business and life itself can no longer be ignored. Human progress will depend on the ability of AI to make communication easier, personalise content delivery, advance medical research/diagnosis/treatments, track potential pandemics, revolutionise education and implement digital manufacturing. In Malaysia, while AI is progressively being recognised as the new general-purpose technology that will bring about revolutionary economic transformation similar to the Industrial Revolution, adoption of Industry 4.0 remains sluggish with only 15% to 20% of businesses having really embraced it. On the other hand, the government is taking this emerging technology seriously, having set out frameworks for the incorporation of AI by numerous sectors of the economy. These comprise the Malaysia Artificial Intelligence Roadmap 2021-2025 (AI-Rmap) and the Malaysian Digital Economy Blueprint (MDEB), spearheaded by the MyDIGITAL Corporation and the Economic Planning Unit.

Moving Forward

With servers and HPC at the heart of AI, modern infrastructure needs to match the unique requirements of increasingly complex and widely distributed workloads. Regardless of where a business is on the AI journey, the key to optimising outcomes is having the right infrastructure in place, ready to seamlessly scale as the business grows and positioned to take on the unexpected, unknown challenges of the future. To do that requires having the expertise – or a trusted partner that does – to help at any and every stage, from planning through to implementation, to make smart server decisions that will unlock the organisation’s data capital and support AI efforts to move human progress forward.

[i] Based on Dell Technologies helps Monash University Malaysia enhance its R&D capabilities with HPC and AI solutions Media Alert, November 2022

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Adobe Firely, the Next-Generation AI Made for Creative Use

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AI (Artificial Intelligence) generated graphics is not a new thing. You have things like OpenArt and Hotpot these days where you can just type in the keywords to the image you want, and let the engine generate art for your use. Even before AI generated graphics though, the implementation of AI within the creative industry is nothing new. NVIDIA has used their own AI engine to write an entire symphony, and even to create 3D environments using their Ray Tracing engines. Adobe too have something they call the Sensei. They the AI tool is implemented across their creative suite to understand and recognise objects better, fill details where needed more naturally, and even edit videos, images, or even texts quickly and efficiently. Now, they have Firefly.

Firefly is not a new separate AI system from Adobe’s Sensei. Firefly is a part of a larger Adobe Sensei generative AI together with technologies like Neural Filters, Content Aware Fill, Attribution AI, and Liquid mode implemented across several Adobe platforms. Unlike those platform specific implementations though, Adobe is looking to put Firefly to work on a number of various platforms across their Creative Cloud, Document Cloud, Experience Cloud, and even their Adobe Express platforms.

So, what is Adobe Firefly? We hear you ask. It is technically Adobe’s take on what a creative generative AI should be. They are not limiting Firefly to just image generation, modification, and correction. It is designed to allow any sort of content creators create even more without needing to spend hundreds of hours to learn a new skill. All they need to do is to adapt Firefly in their workflow and they will get contents that they have never been able to create before, be it images, audio, vectors, texts, videos, and even 3D materials. You can have different contents every time too with Adobe Firefly; the possibilities, according to Adobe, are endless.

What makes Adobe’s Firefly so powerful is the power of the entirety of Adobe’s experience and database behind it. Obviously Adobe’s Stock images and assets is a huge enough library for the AI implementation to dive into. The implementation can also look into using openly licensed assets and public domain contents in generating its contents. The tool, in this case, will prevent any IP infringements and help you avoid plenty of future litigations.

Adobe Firefly Cover
Source: Adobe

As Firefly is launched in its beta state, it will only be available as an image and text generator tool for Adobe Express, Adobe Experience Manager, Adobe Photoshop, and Adobe Illustrator. Adobe plans to bring Firefly into the rest of their platforms where relevant in the coming future. They are also pushing for more open standards in asset verification which will eventually include proper categorization and tagging of AI generated contents. Adobe is also planning to make the Firefly ecosystem a more open one with APIs for its users and customers to integrate the tool with their existing workflows. For more information on Adobe’s latest generative AI, you can visit their website.