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Spotlight on AI, Robotics, HealthTech & Clean Energy — Plus Alibaba Cloud’s Hackathon in Malaysia The curtain has closed on BEYOND Expo 2025 in Singapore, where over 800 Asian tech innovators, industry leaders, and investors converged under the theme “Empowering Asia, Bridging the World”  . The Expo showcased jaw-dropping advancements in: AI & Human-Centric Robotics: Intelligent robots interacting naturally with visitors—like robotic arms playing chess—demonstrated both dexterity and engagement  . HealthTech: Standout innovations harnessed AI and sensors for better sleep monitoring, personalized treatment, and rapid diagnostics. Clean Energy & Climate Tech: Startups unveiled next-gen solar storage systems and AI-driven smart-grid solutions, tackling carbon footprint and powering sustainable cities. Mixed Reality & Spatial Computing: Immersive MR headsets and AR glasses gave attendees a taste of future workspaces and entertainment environments. Beyond exhibits, the BGlobal Network launch ignited conversation around global expansion—highlighting the importance of cross-border tech partnerships to scale Asia’s innovation to global audiences  . 🌐 Alibaba Cloud in Malaysia: AI Hackathon Crunch-Time Parallel to the Expo, Alibaba Cloud’s inaugural AI Hackathon in Malaysia captured attention. With participants from across SEA, the event focused on building real-world AI solutions using Alibaba’s Qwen2.5 models and advanced cloud services. It marked a significant leap in cultivating local AI talent and fostering innovation across the region’s tech ecosystem. Why It Matters Regional Leadership: BEYOND Expo affirmed Asia’s position as a global hub for frontier tech. Startup Momentum: Hundreds of startups received spotlight, mentorship, and investment opportunities. Multi-Sector Innovation: The convergence of AI, robotics, health, and clean energy reflects the multidisciplinary future of tech development. Talent Development: Events like Alibaba Cloud’s hackathon demonstrate practical investment in the next generation of AI builders.

While Excel is still the leader in spreadsheet software, several alternatives are gaining ground, especially Microsoft Excel continues to be a powerhouse in the world of data and productivity software. Whether you're a data analyst , entrepreneur, or student, the right spreadsheet software can make all

The Evolving Landscape of Cybersecurity The rapid adoption of AI, cloud computing, and the Internet of Things (IoT) has expanded the digital ecosystem—but also the risks. Cybersecurity threats  are no longer limited to malware or phishing emails. Instead, we’re facing advanced, adaptive threats that can bypass traditional defenses. Top Cybersecurity Threats to Watch in 2025 > 1. AI-Powered Cyber Attacks Hackers are now using artificial intelligence to create highly personalized phishing schemes, automated malware, and even deepfake technology to deceive victims more effectively. 2. Ransomware 2.0 Ransomware will continue to evolve, targeting not only data but also critical infrastructure. In 2025, attackers may demand payment not just in cryptocurrency but in access or trade secrets. 3. Supply Chain Vulnerabilities As businesses rely more on third-party vendors, weak links in the supply chain will remain a major source of cybersecurity threats , often giving attackers a backdoor into larger systems. 4. IoT Exploitation Smart homes, connected cars, and wearable devices are increasingly common—but many lack strong security, making them prime targets for hackers. 5. Cloud Security Risks With remote work and global collaboration, cloud storage is vital. However, misconfigurations and insider threats will remain a growing concern in 2025. How Businesses Can Prepare > Invest in Zero Trust Architecture  – Assume no user or device is safe without verification. Prioritize Cybersecurity Training  – Human error remains one of the biggest risks. Adopt AI Security Tools  – Use AI to detect anomalies before they escalate. Strengthen Regulations & Compliance  – Ensure data protection policies align with global standards. The digital future offers limitless potential, but it comes with escalating cybersecurity threats . By staying ahead of these risks, businesses and individuals can build stronger, more resilient defenses in 2025 and beyond. #CybersecurityThreats2025 _ Daily Growth Insights Protect Your Business from Cybersecurity Threats –

Staying secure requires vigilance, updated software, endpoint protection, and a healthy dose of skepticism

OpenAI has just announced the launch of “ChatGPT Study Mode” , a brand-new feature tailored specifically for students, educators, and academic professionals. As artificial intelligence continues to disrupt traditional learning systems, this new mode is set to make AI a reliable study partner for millions around the world. 🔍 What is ChatGPT Study Mode? ChatGPT Study Mode is a dedicated feature within the ChatGPT interface that enables users to switch into a focused educational experience. With this mode, students can interact with ChatGPT as a tutor or learning assistant, capable of: Breaking down complex concepts in subjects like math, science, literature, and history Summarizing textbooks, lecture notes, or research articles Providing definitions, examples, and visual aids Generating quizzes and flashcards for better retention Supporting multiple languages and academic levels 👩‍🏫 For Educators: AI-Enhanced Classrooms Teachers and instructors are also benefiting from Study Mode. The tool can help prepare lesson plans, explain difficult concepts, suggest engaging activities, and provide differentiated instruction for students with varying needs. It’s designed to augment—not replace—traditional teaching methods  by offering smarter, faster ways to prepare and deliver academic content. Unlike one-size-fits-all learning platforms, ChatGPT Study Mode provides a personalized learning journey , adapting its explanations to match a student’s comprehension level. This accessibility can be a game-changer, particularly for students who require extra help outside of the classroom or have limited access to tutoring. OpenAI has emphasized its commitment to safety and privacy with this rollout. Study Mode features are built with guardrails to prevent misuse, discourage academic dishonesty, and promote ethical learning. The Future of AI in Education With the release of ChatGPT Study Mode, OpenAI continues to position itself at the forefront of educational innovation. This tool supports global learning goals, democratizes access to knowledge, and shows how AI can responsibly enhance human learning potential. “We believe this feature will empower students and educators to achieve more with the help of AI,”  said an OpenAI spokesperson during the feature announcement. _Daily Growth Insights

blur, and depth-rich visual effects, Apple’s design team led by VP Alan Dye called it their “broadest software Its real-world light effects hint at a future where software feels less flat and more sensory.

Resecurity, a U.S.-based leader in cyber threat intelligence and digital risk management, is participating in the Police Technology Summit 2025, held at Rashtriya Raksha University (RRU) in Gandhinagar, Gujarat, India. The summit, organized under the aegis of the Police Technology Mission by the Ministry of Home Affairs, Government of India, aims to foster innovation and collaboration in law enforcement and public safety through SMART policing initiatives. During the two-day summit, Resecurity is presenting its AI-powered intelligence and cybersecurity solutions tailored to support SMART policing. These include: Cybercrime Investigation & Digital Forensics Cyber Threat Intelligence & Dark Web Monitoring Predictive Threat Modeling & OSINT/SOCMINT C4ISR Support for Law Enforcement Agencies Cyber Fusion Center Enablement Mobile and Field-Ready Intelligence Tools On Day 1, Resecurity delivered a live presentation highlighting how AI and advanced intelligence can aid in real-time threat monitoring, cybercrime prevention, and decision support for field operations. Day 2 features live demonstrations of their solutions in action. “India is making tremendous progress in modernizing law enforcement through technology. We are honored to participate in the Police Technology Summit 2025 and support the Police Technology Mission,” said Rajan Pant, Business Development Manager (SAARC), Resecurity. “Our solutions are purpose-built to empower police forces with actionable intelligence and support proactive public safety strategies.” Prof. (Dr.) Bimal N. Patel, Vice Chancellor of Rashtriya Raksha University, welcomed Resecurity's participation, stating, “We look forward to showcasing how global innovation can support India’s vision for SMART policing. Our goal is to foster collaboration between academia, technology leaders, and public safety professionals for long-term impact.” Resecurity's involvement underscores the growing importance of international collaboration in enhancing law enforcement capabilities through advanced technology. _Daily Growth Insights

Apple’s WWDC 2025 keynote was an event to remember. Debuting iOS 26, iPadOS 26, macOS Tahoe (26), watchOS 26, tvOS 26, and visionOS 26, the company unveiled its boldest redesign in years—“Liquid Glass”, a unified visual style defined by translucent, fluid, and depth-rich elements  . But aesthetics were just the beginning. Apple doubled down on AI integration, introducing on-device Apple Intelligence across the OS suite. Highlights included: Real-Time Translation in calls, FaceTime, messages—with full on-device processing for privacy  . Visual Intelligence & Image Playground with Genmoji and ChatGPT-powered image tools, enabling creative flair within iMessage, Notes, and more  . Multitasking upgrades on iPadOS 26—new windowing and productivity features—and macOS Tahoe enhancements like revamped Spotlight and transparent menu designs  . Developer enhancements: Xcode 26 now supports on-device AI models and ChatGPT code integration, while SwiftUI and Icon Composer make adopting Liquid Glass seamless  . Under the hood, Apple Intelligence can be accessed by third-party apps via the Foundation Models framework—placing power in the hands of developers to design intelligent, privacy-friendly experiences  . Why It Matters? Largest UI redesign since iOS 7: Liquid Glass brings consistency and sophistication across all Apple platforms  . Privacy-first AI: AI features run locally on-device, staying true to Apple’s strong privacy stance  . Developer empowerment: New tools and APIs equip developers to build richer, more responsive apps using built-in AI  . Developer betas for all platforms are available now. A public beta arrives later this summer, with the full release scheduled alongside iPhone 16 in fall 2025.

Amazon SageMaker is one of the most powerful cloud-based machine learning (ML) platforms, offering end-to-end solutions for building, training, and deploying ML models at scale. But how exactly does it support the two key user groups in the ML pipeline— developers and data scientists ? For developers, diving into machine learning can often be overwhelming due to the technical setup and infrastructure requirements. SageMaker takes away much of that burden by abstracting the complexity of configuring environments, managing servers, and handling model deployment pipelines. With SageMaker, developers can: Quickly launch Jupyter notebooks for experimentation without managing the infrastructure. Automate model training and tuning using built-in algorithms or custom code. Deploy ML models to production with a few clicks or lines of code. Seamlessly integrate with other AWS services like: Amazon S3 ** for data storage and preprocessing, AWS Lambda ** for event-driven compute actions, CloudWatch ** for monitoring and logging. "These integrations allow developers to create powerful, scalable ML applications faster and with less overhead". SageMaker shines as a powerful toolkit for data scientists as well. Whether it's preprocessing data, choosing the right algorithm, or validating model performance, SageMaker provides a centralized environment that supports the entire ML lifecycle. Key features that benefit data scientists include: Support for popular ML frameworkssuc h as TensorFlow, PyTorch, and MXNet , allowing for flexibility and continuity in existing workflows. Built-in data labeling tools and AutoML capabilities to simplify dataset preparation and model selection. Experiment tracking , hyperparameter tuning, and training job management through a clean, intuitive UI or APIs. Easy deployment options with one-click model hosting or real-time endpoints for inference. By offering these tools in a managed environment, SageMaker allows data scientists to focus more on innovation and less on infrastructure . Whether you're a developer trying to bring ML features into your application or a data scientist focused on building predictive models, Amazon SageMaker provides a powerful, scalable, and flexible platform to bring your machine learning projects to life. With seamless AWS integrations and support for leading ML tools, SageMaker is becoming a go-to solution for businesses investing in AI.

In the world of machine learning (ML), the challenge of training and deploying models at scale has always been a daunting task. This is where Amazon SageMaker comes in, offering a powerful solution to streamline the entire process. But what exactly is SageMaker, and how does it help businesses and developers alike? SageMaker is a fully managed machine learning service by Amazon Web Services (AWS) that enables developers and data scientists to build, train, and deploy machine learning models efficiently. By providing a robust, scalable, and cost-effective platform, SageMaker is designed to handle the complex aspects of machine learning, from data preparation to deployment, making it an ideal solution for businesses aiming to scale their AI operations. Key Features of Amazon SageMaker Training at Scale One of the most significant challenges when training machine learning models is the infrastructure required. SageMaker handles the heavy lifting of infrastructure management by automatically provisioning the necessary compute resources. It supports distributed training and can scale resources dynamically to handle large datasets and complex models, ensuring that users don’t have to worry about setting up and managing servers. Hyperparameter Tuning SageMaker's **automatic hyperparameter tuning** optimizes your models by finding the best hyperparameter values for improved accuracy. This feature automates a traditionally time-consuming process, saving you time and ensuring you achieve the best possible model performance. Flexible Deployment SageMaker makes it easy to deploy machine learning models for real-time inference, batch prediction, or even at the edge. Whether you're integrating your model into an application, processing large batches of data, or deploying it on devices with limited resources, SageMaker provides the flexibility to meet all deployment needs. SageMaker Studio SageMaker Studio is a fully integrated development environment (IDE) for machine learning. It gives users access to a wide range of tools for data preparation, model building, training, and deployment, all within a single interface. Studio's powerful features make it easier for developers to collaborate, track their work, and scale their projects effectively. Managed Workflows For teams working on large-scale projects, SageMaker provides managed workflows to simplify the creation, tracking, and automation of training and deployment processes. These workflows streamline the workflow for model training, testing, and deployment, allowing teams to focus on innovation rather than process management. Why is Amazon SageMaker Popular? Amazon SageMaker's appeal lies in its ability to simplify and accelerate the machine learning lifecycle. Its comprehensive set of tools and features reduces the time and cost associated with model training and deployment, making it an attractive option for businesses of all sizes. The platform’s flexibility and scalability also mean that it can support a wide range of use cases, from startups to large enterprises. The Benefits of Using SageMaker Scalability SageMaker can scale up or down depending on your needs, ensuring that resources are allocated efficiently based on the size of your dataset and the complexity of your models. This flexibility makes it suitable for businesses at any stage of their machine learning journey. Cost Efficiency With its pay-as-you-go pricing model, SageMaker ensures that you only pay for the resources you use. It eliminates the need for large upfront investments in infrastructure, allowing businesses to start small and scale as needed. Collaboration and Productivity SageMaker Studio’s collaborative environment improves teamwork among data scientists and engineers, enhancing productivity. With access to built-in notebooks, experiment tracking, and version control, teams can work together seamlessly on machine learning projects. Pre-built Algorithms and Models SageMaker provides access to pre-built machine learning algorithms and models, allowing users to quickly get started without needing to build models from scratch. This helps reduce the time-to-market for machine learning projects. Amazon SageMaker has become an essential tool for anyone looking to deploy machine learning models at scale. By simplifying the training, tuning, and deployment process, SageMaker empowers businesses to leverage AI more effectively without needing deep technical expertise or a large infrastructure investment. Whether you're a developer, data scientist, or business leader, SageMaker’s suite of features can help unlock the potential of machine learning and AI in your organization. _Daily Growth Insights

The rapid pace of innovation has brought quantum computing  from research labs into real-world applications. Unlike classical computers that rely on binary bits (0s and 1s), quantum computers use qubits , enabling them to process complex calculations at speeds once thought impossible. This shift has massive implications for businesses across multiple sectors. While mainstream adoption may still be years away, companies that prepare early will have a competitive edge in tomorrow’s digital economy. ⚡ Why Quantum Computing Matters? Exponential Processing Power  – Quantum machines can analyze vast data sets, simulate complex models, and optimize solutions far beyond the capability of traditional computers. Breakthroughs in AI & Machine Learning  – Quantum algorithms promise faster training times and more powerful insights, enhancing automation and predictive analytics. Cybersecurity Risks & Opportunities  – Quantum computing could break current encryption standards, forcing businesses to adopt quantum-safe cryptography. 🌍 Potential Business Applications Finance : Faster portfolio optimization, fraud detection, and risk analysis. Healthcare : Accelerated drug discovery, protein modeling, and personalized medicine. Logistics & Supply Chain : Advanced optimization of delivery routes and inventory management. Manufacturing : Materials science breakthroughs for stronger, lighter, and more sustainable products. 🛠️ How Businesses Can Prepare Stay Informed  – Track developments in quantum computing  research and pilot projects. Build Partnerships  – Collaborate with universities, startups, and tech giants leading quantum innovation. Invest in Talent  – Train teams in quantum programming languages like Q# and Qiskit. Adopt Quantum-Safe Security  – Begin transitioning to encryption methods that can withstand quantum decryption. Experiment Early  – Explore cloud-based quantum services from IBM, Google, and AWS to test potential applications. While large-scale, commercial quantum computing  is still in its early stages, the pace of development suggests businesses cannot afford to ignore it. Just as the internet reshaped commerce in the 1990s, quantum technology could be the defining disruptor of the next decade. Quantum computing isn’t science fiction—it’s a strategic business reality on the horizon. Forward-thinking companies that start preparing today will be best positioned to leverage its power tomorrow. #QuantumComputing _ Daily Growth Insights

While AI tools are making headlines for revolutionizing software development, SAP executives emphasize Persists in Enterprise Tech SAP, one of the world’s leading providers of ERP and business management software