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Friday 7 February 2025
Tech innovations transforming the way gamers play online
Emerging technologies are transforming how players engage with their favorite games, leading to the rapid evolution of the gaming industry. In 2025, gaming experiences will be redefined, from heightened security to the merging of technologies to the integration and adoption of blockchain technology and cryptocurrency
Friday 24 January 2025
Top challenges in implementing SASE (and how to overcome them)
The Secure Access Service Edge (SASE) paradigm revolutionizes networking and security. SASE converges wide-area networking (WAN) and network security services into a single, cloud-delivered solution to securely and efficiently provide access to users, devices, and applications.Though sase is simple, there's still some work to do. Adoption can often be stymied through roadblocks that prevent fully enjoying its benefits. In this article, we explore these challenges and present actionable solutions to overcome them.Understanding SASENow that we know what we are diving into, let's understand what SASE is. SASE is a cloud-native architecture that bundles several networking and security capabilities from the likes of SD-WAN, Secure web gateway (SWG), cloud access security brokers (CASB), and zero-trust network access (ZTNA), to name a few.It protects networks while facilitating easy remote access to remote workers and distributed branches. For information on sase and its components, see this in-depth guide on SASE.Top SASE Challenges1. Unclear about what the requirements and goals are.When adopting SASE, many organizations have a tough time defining their exact goals. Without established objectives it becomes hard to discern how does SASE relate to the organization's current infrastructure and security strategy.Solution:Start your attack on your current network and security posture. Find pain points — is your remote access lackluster or do you have gaps in security? Define clear goals like better remote access, better threat detection, or reduced number of tools by bringing too many tools into one platform. Work with important stakeholders to align SASE adoption with business objectives.2. Integrating Legacy Systems is a Problem of Complexity.Many organizations run legacy infrastructure and use processes that were not designed to integrate with more modern technological SASE solutions. Such an incompatibility can cause delays and cost more when implementing.Solution:Migrate in a phased approach. Begin by including key areas of SASE, e.g., SD-WAN or ZTNA and not interrupt current systems. Choose a SASE vendor that can deploy in a way that fits your needs, and will work with your existing systems instead of forcing you to tear everything down and start fresh.3. Lack of Internal ExpertiseTo implement SASE, you must know both networking and security very well. Unfortunately, most IT teams do not have the required proficiency in specialized knowledge to design and roll out the full SASE framework.Solution:Ensure that your IT staff is given the attention and training to become upskilled on SASE technologies and best practices. You can alternatively partner with a managed service provider (MSP) or SASE vendor that provides end–to–end deployment support. It makes for a smoother transition, as it removes the pace of strategic decisions from your team.4. Resistance to ChangeWhile stakeholders are expecting legacy system behavior, shifting to a cloud-native SASE architecture often faces resistance. But this resistance tends to slow down the adoption process.Solution:Stakeholders engage them early in the decision-making. Draw out the constraints of current systems and accentuate the long-term benefits of SASE like cost savings, better performance and better security. Communicate clearly and train easily.5. Managing CostsAlthough SASE can lower your operational expenses in the long run, it's an upfront cost that can initially be a major hurdle for many businesses since it requires new hardware, software, and employee training.Solution:You should first develop a clear budget and ROI analysis prior to your SASE journey. A number of vendors' pricing models support this with scalable pricing — you could, for example, incrementally start adopting SASE. Select a solution that fits your budget but should be able to meet your requirements.6. Consistent Performance Across LocationsSASE implementation causes organizations with distributed teams and global operations to have inconsistent network performance.Solution:Choose a SASE provider with a rich Points of Presence (PoPs) global network. Thus, it's low-latency connections with a predictable performance, regardless of the user's location. And use SD-WAN's intelligent traffic routing to optimize performance.7. Adapting to Evolving Threat LandscapesBeing able to protect your organization from new threats is especially difficult because cybersecurity threats are also dynamic.Solution:Go with a SASE vendor that leverages advanced threat intelligence and regularly refreshed security capabilities. Seek out solutions that use machine learning and automation to proactively detect and respond to threats.Facing Implementation ChallengesSASE has to be done right. The implementation of SASE needs careful planning, collaboration, and the right vendor partnership to be done successfully. The hurdles of SASE are common, and with the right strategy and an open mind, organizations can realize the full power of SASE while securing, simplifying, and growing a modern network for their organization.Yet, as organizations adopt digital transformation, SASE emerges as an important enabler for securing and making use of efficient connectivity. If prepared adequately and with the right resources, you can overcome these challenges and set your organization up for success in the ever-evolving digital landscape.
Friday 24 January 2025
How AI is advancing iGaming at a rapid rate
You know how technology seems to move at lightning speed these days? Well, the online gambling world is riding that same wave, and artificial intelligence is the surfboard making it all possible. The transformation has been incredible - whether you're spinning slots in Las Vegas, enjoying European-style roulette, or checking out the latest platforms designed for players in Hong Kong, AI is completely changing how we experience online gaming.Let's talk about what's happening across Europe first because they've really been leading the charge. Countries like Malta and the UK have embraced AI-powered systems that can spot problem gambling behaviors before they become serious issues. It's like having a friend who notices you might be overdoing it and gives you a gentle nudge to take a break.These systems analyze playing patterns and can tell when someone's betting habits start looking risky, helping operators step in with responsible gaming measures at just the right time.Over in the Americas, things are getting equally interesting. The US market, despite its complex regulatory landscape, is seeing AI transform everything from customer service to game development. Las Vegas-based operators are using AI to create personalized gaming experiences that feel like they're tailor-made for each player. According to recent data from the American Gaming Association, AI-driven personalization has increased player engagement by an impressive 47% in the past year alone.The Asia-Pacific region is where things get really fascinating. In markets like Singapore and Macau, AI is being used to create culturally adapted gaming experiences that resonate with local players. Think games that automatically adjust their themes and features based on cultural preferences and playing styles. It's like having a casino that knows exactly what you like before you even realize it yourself.Looking at emerging markets in Latin America and Africa, we're seeing AI democratize access to sophisticated gaming platforms. Countries like Brazil and Nigeria are leveraging AI to create more affordable and accessible gaming solutions, breaking down barriers that once kept many players out of the loop. The technology is helping operators run more efficiently, which means they can offer better games to more people at lower costs.But it's not all just about making games more fun and accessible. AI is playing a crucial role in keeping things safe and fair. Advanced algorithms are constantly running in the background, watching for any signs of fraud or suspicious activity. They're like digital security guards who never take a coffee break, ensuring everyone plays by the rules.The future is shaping up to be incredibly exciting! We're beginning to witness AI creating truly immersive experiences that gently blur the lines between online and real-world gambling. Just imagine playing poker against AI opponents that can mimic human behavior so well, you'd feel like you were actually sitting at a table in Monaco. But that's just scratching the surface - we're talking about AI that can read your poker face through your webcam, adjust to your playing style in real-time, and even crack jokes that actually land!Picture walking into a virtual casino where everything from the ambient chatter to the way other players react to your wins and losses feels absolutely real. The technology is getting so sophisticated that soon you might forget you're sitting on your couch rather than in a high-stakes room in Monte Carlo.In summary, as we look ahead, it's clear that AI isn't just changing the game - it's creating an entirely new playing field. From enhanced security to personalized experiences, from responsible gaming to cultural adaptation, AI is helping the iGaming industry evolve in ways that benefit both operators and players. The real winner in all of this? The players, who get to enjoy safer, fairer, and more engaging gaming experiences than ever before.
Thursday 23 January 2025
MetAI secures US$4M seed funding to redefine physical AI training through digital twins
MetAI, a Taiwanese startup pioneering the integration of industrial AI and 3D simulation technologies, today announced the successful close of a $4 million seed funding round. Investors include Addin Ventures, Kenmec Mechanical Engineering (6125.TWO), NVIDIA, Solomon Technology (2359.TW), SparkLabs Taiwan, and Upstream Ventures. This milestone underscores MetAI's pivotal role in advancing physical AI and bridging the gap between simulation and reality through cutting-edge technologies.The funding will accelerate MetAI's research and development efforts, scale its engineering team, and expand operations into the US market with a focus on semiconductor manufacturing, automated warehousing, and robotics applications.Revolutionizing physical AI and world models with scalable digital twinsThe next wave of AI, often described as the revolution of physical AI or generative physical AI, relies heavily on physically accurate simulated environments where robots, autonomous systems, and operational AI can be trained and validated before deployment. The transition to physical AI—and the development of comprehensive world models—has been hindered by the complex and time-consuming process of creating realistic, functional digital twins.MetAI addresses this challenge with its proprietary generative model, a cutting-edge technology that enables the instantaneous generation of "SimReady (Simulation-Ready)" digital twins. By converting CAD files into operational 3D environments within minutes, MetAI's technology allows businesses to deploy precise, scalable, and fully functional simulations instantly.Developing physically accurate digital twins is seen as a barrier to entry for those looking to develop physical AI at scale," said Daniel Yu, CEO and Co-founder of MetAI. "We're changing that narrative by enabling businesses to instantly train AI systems—whether for robotics, logistics, or manufacturing—in physics-based virtual environments with unprecedented efficiency and scalability."Driving real industry impact: collaboration with KenmecMetAI partnered with Kenmec Mechanical Engineering in 2023 to revolutionize the creation of automated warehouse digital twins. MetAI's technology reduced the time needed for warehouse digital twin simulations from thousands of hours to just 3 minutes, dramatically saving operational and verification efforts. The generated digital twins operate with real-world fidelity, effectively establishing a warehouse world simulator—a dynamic virtual environment that mirrors real-world operations, enabling immediate throughput validation, optimization, and potential integration with AI agents to explore the world in simulations.Credit: MetAIThis collaboration demonstrated such significant value that Kenmec became a major investor in MetAI during this funding round."MetAI is changing the automated industry with its digital twin and simulation technologies," says Jonas Ko, President of Kenmec. "With their advanced technology combined with Kenmec's leading automated solutions, we aim to work together to deliver the most optimal and efficient outcomes for end customers, accelerating the adoption and implementation of automation with unprecedented precision and speed, empowered by AI advancements."Building on this success, MetAI has initiated collaborations with major manufacturing giants, including semiconductor fabs, aiming to apply the same methodology to create operational digital twins for fabs, further accelerating industry-wide efficiency.From real-to-sim to sim-to-realMetAI's technology goes beyond digital twin creation to provide tools for physical AI training, validation, and the generation of precise world models. By integrating scalable digital twins with reinforcement learning, MetAI enables robots and AI agents to learn, adapt, and optimize performance within simulated environments that replicate real-world complexities before real-world deployment.Key benefits include:Scalability: Organizations can rapidly generate environments for multiple scenarios or facilities, enabling faster prototyping and validation, and reducing simulation setup time from months to minutes.World Models for Industrial Use: With digital twins that highly resemble the real world, MetAI enables the creation of world simulators—dynamic, physics-based virtual representations of physical environments—supporting comprehensive AI testing and optimization. Precision Training: Robots and autonomous systems can be trained in physically accurate environments, minimizing real-world testing time, risks, and costs. Iterative Optimization: AI systems can refine their strategies continuously, leveraging reinforcement learning to adapt to changing needs.Driving value for the semiconductor and robotics industriesOne of MetAI's primary focuses is accelerating semiconductor manufacturing, an industry that faces significant challenges in labor constraints and the operational efficiency of factor designs. By simulating fab construction and production line setup with AI agents, MetAI has the potential to reduce timelines by up to a year, significantly enhancing operational efficiency.MetAI's broader applications extend to robotics and warehouses/logistics, where its ability to generate precise, dynamic environments allows for optimal training of autonomous mobile robots (AMRs), robotic arms, and other precise industrial systems. This scalability helps industries maintain competitiveness in markets that evolve so fast nowadays.Credit: MetAICredit: MetAICollaboration with NVIDIAAs a member of the NVIDIA Inception program for startups, MetAI has collaborated closely with NVIDIA to refine its applications by integrating NVIDIA Omniverse technologies, unlocking new opportunities and industrial use cases. By taking advantage of the exceptional simulation scalability of the NVIDIA Omniverse platform, MetAI aims to empower businesses with applications that possess unprecedented speed and precision to train AI systems for real-world deployment.Scaling in the US MarketBuilding on its momentum and preliminary success with industry leaders in Taiwan's manufacturing and automation sector, MetAI is set to fuel the momentum of growth and accelerate its presence in the US market. With plans to deepen its US operations in 2025, the company is committed to bringing its groundbreaking technologies to the US semiconductor and automated warehouse industries, supporting businesses to achieve new heights of operational efficiency and digital transformation.Credit: MetAICredit: MetAI
CES 2025: Lightning D-Talks
Samsung expands mobile phone production beyond Asian countries, says DIGITIMES Research
SLMs to increase presence in GenAI business opportunities, says DIGITIMES Research
Generative AI market to reach US$1.5 trillion by 2030 with Taiwan holds hardware advantage; software and services to see promising future, says DIGITIMES Research