#Event-driven systems and edge computing

[lexical-lushes]

[Shivers] so, o-one of my facet-stories is about horny mech pilots.

a world where, generations ago, leading world governments decided to "fix" population growth and overpopulation by releasing a retrovirus agent that rewired humans to have a heat cycle. by the time anyone not in on the plan realized what was being done, it was too late.

sexual interest is dampened for most of the year - every three months, girls go into heat for a week or two and release pheromones that, a-ah, stimulate people around them.

(there are, of course, medications that can be taken to suppress heat cycles. or trigger them early, although those are something really only the upper class has regular access to.)

of course, the whole "solution" was just a self-serving bid to hold onto power in a world of ecological collapse and ongoing destructive climate change. states and major corporations colluded and consolidated their power as vast portions of the world suffered desertification and equatorial "dead zones" spread. populations were relocated into increasingly centralized and strictly controlled urban zones, which grew into vast arkocities supported by sprawling hydroponics facilities.

resource wars broke out, as well as increasingly hostile corporate takeovers. the arkocities built fortifications, expanding their existing lockdown procedures for civil unrest and extreme weather events.

the weapon of choice in the growing conflicts became mechanized walkers and automated vehicles. furthermore, the arms race to improve upon these technologies eventually led to a cutting-edge advancement in mech warfare: direct neural interlocks.

instead of a pilot relying on manual controls and the machine's automatic reflex systems, select candidates were screened for appropriate neurological and psychological profiles before being implanted with a cybernetic interface allowing them to "plug in" to a mech's combat computer. the "pilot", really more of a neural processor or "bioCPU", then synchronizes with the mech's own systems and acts as a rapid processing system capable of intuitively analyzing combat situations and "steering" the mech.

a good neural processor needs to be highly aggressive while also capable of surrendering enough control to the mech's systems that synchronization can be achieved.

s-so...

it turns out that an orphan girl named Amelia gets high marks during a round of corporate-sponsored health checkups and psychological screening.

she's shy, with little self-confidence. extremely vulnerable to peer pressure. deathly afraid of being unlikable or abandoned.

but she's driven, too, fueled by all that fear and bottled-up resentment.

she gets selected as a candidate. she scores well. she survives the cybernetic augmentation process. when they finally plug her into a mech, she gets the highest score of anyone in the program - she gives herself over completely to the machine, straining to do exactly what it wants. KILL. KILL. KILL. ELIMINATE THE TARGET.

the more she gives herself over and unbottles that deep well of pain inside her, the more she's free, the more the reward hooks work their way into her until she's a frothing, snarling, pent-up mess of a girl by the time they pull her out of the cockpit.

(and oh, how she's embarrassed by that.)

...luckily, she has someone to help her work out all that stress, someone that understands and adores her for the monstrous, violent thing she becomes in a combat situation.

after all, neural processors often can't be trusted to interpret orders during the heat of combat. you need someone a little more detached from the situation for that. so... you pair the "pilot" up with a navigator and comms operator. they feed select tactical data to the pilot, point them in the right direction, and keep one hand hovering over the emergency override and disengage switch if the pilot ever gets out of hand and needs a yank on their leash.

so it's j-just me and my RIO, strapped into a heavily armed missile with an instinct to kill called Sierra One, tearing apart less agile and responsive mechs at command's behest~

[govindhtech]

Dell PowerEdge XE9680L Cools and Powers Dell AI Factory

When It Comes to Cooling and Powering Your  AI Factory, Think Dell. As part of the Dell AI Factory initiative, the company is thrilled to introduce a variety of new server power and cooling capabilities.

Dell PowerEdge XE9680L Server

As part of the Dell AI Factory, they’re showcasing new server capabilities after a fantastic Dell Technologies World event. These developments, which offer a thorough, scalable, and integrated method of imaplementing AI solutions, have the potential to completely transform the way businesses use artificial intelligence.

These new capabilities, which begin with the PowerEdge XE9680L with support for NVIDIA B200 HGX 8-way NVLink GPUs (graphics processing units), promise unmatched AI performance, power management, and cooling. This offer doubles I/O throughput and supports up to 72 GPUs per rack 107 kW, pushing the envelope of what’s feasible for AI-driven operations.

Integrating AI with Your Data

In order to fully utilise AI, customers must integrate it with their data. However, how can they do this in a more sustainable way? Putting in place state-of-the-art infrastructure that is tailored to meet the demands of AI workloads as effectively as feasible is the solution. Dell PowerEdge servers and software are built with Smart Power and Cooling to assist IT operations make the most of their power and thermal budgets.

Astute Cooling

Effective power management is but one aspect of the problem. Recall that cooling ability is also essential. At the highest workloads, Dell’s rack-scale system, which consists of eight XE9680 H100 servers in a rack with an integrated rear door heat exchanged, runs at 70 kW or less, as we disclosed at Dell Technologies World 2024. In addition to ensuring that component thermal and reliability standards are satisfied, Dell innovates to reduce the amount of power required to maintain cool systems.

Together, these significant hardware advancements including taller server chassis, rack-level integrated cooling, and the growth of liquid cooling, which includes liquid-assisted air cooling, or LAAC improve heat dissipation, maximise airflow, and enable larger compute densities. An effective fan power management technology is one example of how to maximise airflow. It uses an AI-based fuzzy logic controller for closed-loop thermal management, which immediately lowers operating costs.

Constructed to Be Reliable

Dependability and the data centre are clearly at the forefront of Dell’s solution development. All thorough testing and validation procedures, which guarantee that their systems can endure the most demanding situations, are clear examples of this.

A recent study brought attention to problems with data centre overheating, highlighting how crucial reliability is to data centre operations. A Supermicro SYS‑621C-TN12R server failed in high-temperature test situations, however a Dell PowerEdge HS5620 server continued to perform an intense workload without any component warnings or failures.

Announcing AI Factory Rack-Scale Architecture on the Dell PowerEdge XE9680L

Dell announced a factory integrated rack-scale design as well as the liquid-cooled replacement for the Dell PowerEdge XE9680.

The GPU-powered Since the launch of the PowerEdge product line thirty years ago, one of Dell’s fastest-growing products is the PowerEdge XE9680. immediately following the Dell PowerEdge. Dell announced an intriguing new addition to the PowerEdge XE product family as part of their next announcement for cloud service providers and near-edge deployments.

 AI computing has advanced significantly with the Direct Liquid Cooled (DLC) Dell PowerEdge XE9680L with NVIDIA Blackwell Tensor Core GPUs. This server, shown at Dell Technologies World 2024 as part of the Dell AI Factory with NVIDIA, pushes the limits of performance, GPU density per rack, and scalability for AI workloads.

The XE9680L’s clever cooling system and cutting-edge rack-scale architecture are its key components. Why it matters is as follows:

GPU Density per Rack, Low Power Consumption, and Outstanding Efficiency

The most rigorous large language model (LLM) training and large-scale AI inferencing environments where GPU density per rack is crucial are intended for the XE9680L. It provides one of the greatest density x86 server solutions available in the industry for the next-generation NVIDIA HGX B200 with a small 4U form factor.

Efficient DLC smart cooling is utilised by the XE9680L for both CPUs and GPUs. This innovative technique maximises compute power while retaining thermal efficiency, enabling a more rack-dense 4U architecture. The XE9680L offers remarkable performance for training large language models (LLMs) and other AI tasks because it is tailored for the upcoming NVIDIA HGX B200.

More Capability for PCIe 5 Expansion

With its standard 12 x PCIe 5.0 full-height, half-length slots, the XE9680L offers 20% more FHHL PCIe 5.0 density to its clients. This translates to two times the capability for high-speed input/output for the North/South AI fabric, direct storage connectivity for GPUs from Dell PowerScale, and smooth accelerator integration.

The XE9680L’s PCIe capacity enables smooth data flow whether you’re managing data-intensive jobs, implementing deep learning models, or running simulations.

Rack-scale factory integration and a turn-key solution

Dell is dedicated to quality over the XE9680L’s whole lifecycle. Partner components are seamlessly linked with rack-scale factory integration, guaranteeing a dependable and effective deployment procedure.

Bid farewell to deployment difficulties and welcome to faster time-to-value for accelerated AI workloads. From PDU sizing to rack, stack, and cabling, the XE9680L offers a turn-key solution.

With the Dell PowerEdge XE9680L, you can scale up to 72 Blackwell GPUs per 52 RU rack or 64 GPUs per 48 RU rack.

With pre-validated rack infrastructure solutions, increasing power, cooling, and  AI fabric can be done without guesswork.

AI factory solutions on a rack size, factory integrated, and provided with “one call” support and professional deployment services for your data centre or colocation facility floor.

Dell PowerEdge XE9680L

The PowerEdge XE9680L epitomises high-performance computing innovation and efficiency. This server delivers unmatched performance, scalability, and dependability for modern data centres and companies. Let’s explore the PowerEdge XE9680L’s many advantages for computing.

Superior performance and scalability

Enhanced Processing: Advanced processing powers the PowerEdge XE9680L. This server performs well for many applications thanks to the latest Intel Xeon Scalable CPUs. The XE9680L can handle complicated simulations, big databases, and high-volume transactional applications.

Flexibility in Memory and Storage: Flexible memory and storage options make the PowerEdge XE9680L stand out. This server may be customised for your organisation with up to 6TB of DDR4 memory and NVMe,  SSD, and HDD storage. This versatility lets you optimise your server’s performance for any demand, from fast data access to enormous storage.

Strong Security and Management

Complete Security: Today’s digital world demands security. The PowerEdge XE9680L protects data and system integrity with extensive security features. Secure Boot, BIOS Recovery, and TPM 2.0 prevent cyberattacks. Our server’s built-in encryption safeguards your data at rest and in transit, following industry standards.

Advanced Management Tools

Maintaining performance and minimising downtime requires efficient IT infrastructure management. Advanced management features ease administration and boost operating efficiency on the PowerEdge XE9680L. Dell EMC OpenManage offers simple server monitoring, management, and optimisation solutions. With iDRAC9 and Quick Sync 2, you can install, update, and troubleshoot servers remotely, decreasing on-site intervention and speeding response times.

Excellent Reliability and Support

More efficient cooling and power

For optimal performance, high-performance servers need cooling and power control. The PowerEdge XE9680L’s improved cooling solutions dissipate heat efficiently even under intense loads. Airflow is directed precisely to prevent hotspots and maintain stable temperatures with multi-vector cooling. Redundant power supply and sophisticated power management optimise the server’s power efficiency, minimising energy consumption and running expenses.

A proactive support service

The PowerEdge XE9680L has proactive support from Dell to maximise uptime and assure continued operation. Expert technicians, automatic issue identification, and predictive analytics are available 24/7 in ProSupport Plus to prevent and resolve issues before they affect your operations. This proactive assistance reduces disruptions and improves IT infrastructure stability, letting you focus on your core business.

Innovation in Modern Data Centre Design Scalable Architecture

The PowerEdge XE9680L’s scalable architecture meets modern data centre needs. You can extend your infrastructure as your business grows with its modular architecture and easy extension and customisation. Whether you need more storage, processing power, or new technologies, the XE9680L can adapt easily.

Ideal for virtualisation and clouds

Cloud computing and virtualisation are essential to modern IT strategies. Virtualisation support and cloud platform integration make the PowerEdge XE9680L ideal for these environments. VMware, Microsoft Hyper-V, and OpenStack interoperability lets you maximise resource utilisation and operational efficiency with your visualised infrastructure.

Conclusion

Finally, the PowerEdge XE9680L is a powerful server with flexible memory and storage, strong security, and easy management. Modern data centres and organisations looking to improve their IT infrastructure will love its innovative design, high reliability, and proactive support. The PowerEdge XE9680L gives your company the tools to develop, innovate, and succeed in a digital environment.

Read more on govindhtech.com

[dagirliesrgaming]

Review of Sally Face

Sally Face is an independent dark adventure game & not to immediately jump into singing its praises but it's actually one of the most beautifully well done games of the past decade.

The game is reminiscent of other similar games like Fran Bow, yet its managed to build its own unique charm to it and just generally has a different feel to it. If you're a big killmonday game fan, I'd HIGHLY recommend this game.

The story follows a young boy named Sal Fisher (or Sally Face) as he and his friends talk to ghosts and try to stop a hundreds of years old cult that is trying to kill God. The game is very narrative driven as you live through Sals perspective as the events you play through is him retelling his experiences, which you often times forget while playing since the story is so immersive. The characters are so easy to get attached to and every twist and turn has you on the edge of your seat. I love the look of the game & how much thought was put into building the world of it. The game also runs very very well, especially considering that it was made by one guy. Bugs, glitches and frame rate drops are very rare, which is impressive considering how absolutely dogshit my computer is. Like, its so incredibly smooth & not taxing on ur system, so if ur system can't handle much but you still want an immersive and amazing game to play then this is one of the first games I'd recommend you.

There are however a few issues that knock the gameplay of it down a few ranks for me though. The game itself is only 8 hours long, and even though there is a sequel to the game being released so we're getting more content eventually, it sometimes made me feel scared to play the game since once it was over then there'd really be nothing left of it. The game unfortunately doesn't have as much replay value as I'd like, which is understandable since its a game based mostly around plot but it's still sad to me considering how beautifully built the world is. The game also doesn't exactly tell you how to 100% complete each episode. Like, every episode is packed with so much lore that completely changes the story and each puzzle piece that you unlock makes everything so much more cohesive and truly shows you the genius of the game dev. Issue is though that you're never even alluded to the fact that there is something to unlock inside that area. Every puzzle and piece of unlockable lore is just based on fucking around and finding out, so if you just follow the main story and go in the direction the game is leading you like I tend to do then you aren't going to get the full story. Even when you look up an achievement guide so that you know what you're looking for and how to do it, the game itself seems to not want you to succeed. From the lack of explanation & clues towards certain tasks like having to crack a code that is very unobvious & the game seems to want to lead you away from solving it, to the game not explaining basic mechanics like the fact that completing chapter 7 of In Seeking Providence shuts down any opportunity to complete chapter 8 & the fact that the controls for the clumpy minigame are not explained, the game can become very frustrating since it involves a lot of resetting & googling tutorials. There is also a lack of accessibility options, so the game is not safe for people who are photosensitive since it has flashing lights that you can't turn off and contains blood & gore with no settings allowing you to blur that out.

With all that aside though, the game is still absolutely beautiful and easily one of my favourites. The look, feel, lore & gameplay are amazing & have easily made this game into a game that is in my go-to recommended for anyone getting into the gaming scene or even just looking for a well made story based game to become obsessed with. Overall rating: 9.5/10 Aesthetics: 10/10 gameplay: 8/10 Suitable for children?: No Would I buy again?: Yes absolutely

[impossiblegardenpeanut]

Unlocking Agile Operations with the Power of Information Cloud

Introduction

In today’s rapidly changing digital landscape, agility is more than a competitive edge—it’s a business necessity. Organizations must be able to respond quickly to market demands, customer needs, and operational disruptions. This is where the Information Cloud comes in, serving as a dynamic foundation for enabling agile operations across all business functions.

The Information Cloud refers to an integrated, cloud-native environment that centralizes data, applications, and services to support fast, flexible, and scalable decision-making. Whether in manufacturing, logistics, finance, or customer service, an Information Cloud empowers teams with real-time insights, collaboration tools, and data-driven automation—transforming rigid processes into responsive, intelligent workflows.

What Is an Information Cloud?

An Information Cloud is a cloud-based infrastructure that brings together data storage, analytics, and communication platforms under one secure, accessible ecosystem. It supports:

Unified data access across departments

Real-time analytics and reporting

Scalable storage and compute power

Seamless integration with business applications

Intelligent automation and AI-driven decisions

Popular platforms enabling this capability include Microsoft Azure, AWS, Google Cloud, and hybrid solutions that blend private and public cloud environments.

Key Benefits of an Information Cloud for Agile Operations:

Real-Time Decision-Making Access to up-to-the-minute data enables faster, more informed decisions, especially during critical business events or disruptions.

Cross-Team Collaboration Cloud-based collaboration tools and shared data platforms help teams work in sync, regardless of location or department.

Operational Flexibility Agile workflows powered by cloud data ensure your business can pivot quickly—adapting to new demands without the need for infrastructure changes.

Cost Efficiency and Scalability Pay-as-you-go models and elastic scaling ensure you only use the resources you need, reducing operational overhead.

Business Continuity and Resilience Cloud-based backups, failovers, and remote access protect operations from on-premise system failures or disasters.

How to Build an Agile Operation with Information Cloud:

Centralize Data Repositories Unify siloed data sources into cloud platforms like Azure Data Lake, AWS S3, or Google BigQuery.

Adopt Cloud-Native Tools Leverage platforms like Power BI, Tableau, or Looker for real-time dashboards and analytics.

Automate Workflows Use services like Azure Logic Apps, AWS Lambda, or ServiceNow for intelligent process automation.

Enable Self-Service Analytics Empower employees with no-code/low-code tools to build their own reports and automate tasks.

Ensure Governance and Security Use built-in cloud controls to maintain compliance, monitor access, and enforce data privacy.

Real-World Use Cases:

Supply Chain Agility: Real-time tracking and predictive analytics enable proactive inventory management and logistics.

Finance and Accounting: Automated reporting and forecasting tools ensure quick insights into cash flow and profitability.

Healthcare Operations: Unified patient records and predictive care management enhance service delivery.

Smart Manufacturing: IoT sensors and cloud analytics optimize production schedules and machine maintenance.

Best Practices:

Start small with one or two cloud-enabled processes before scaling.

Regularly review data governance policies for security and compliance.

Train staff on cloud collaboration tools and agile methodologies.

Continuously monitor performance using integrated dashboards.

Conclusion:

An Information Cloud is more than just storage—it's the digital nervous system of an agile enterprise. By centralizing data, empowering teams with intelligent tools, and fostering cross-functional collaboration, it enables businesses to move faster, respond smarter, and operate more efficiently. Whether you're building smart factories, modernizing back-office functions, or enhancing customer experiences, the Information Cloud equips your organization to lead with agility in a digital-first world.

[sicsrpune20]

What Makes a BBA in IT the Smartest Career Move After 12th

For students completing their 12th and aiming to enter the professional world quickly and confidently, the Bachelor of Business Administration in Information Technology - BBA in IT - is gaining ground as one of the smartest choices. This unique program blends the strategic thinking of business with the technical expertise of IT, making it highly relevant in today’s tech-driven economy.

If you’re looking to get a head start in the business-technology space, here’s why choosing a BBA in IT is more than just a good idea, it’s a strategic career move.

A Powerful Combination of Business and Technology

Gone are the days when business and technology were seen as separate fields. Today, every successful business relies on digital infrastructure, data analytics, and software tools. A BBA in IT prepares students to manage and innovate at this intersection, understanding how business operations are transformed through the use of technology.

Unlike traditional business degrees, the BBA in IT curriculum includes modules on databases, e-commerce, software applications, and IT project management, along with core business subjects such as marketing, finance, and organizational behavior.

Early Industry Exposure

One of the key advantages of enrolling in top bba it colleges is the practical exposure offered right from the start. Many institutions encourage internships, real-world case studies, and hands-on projects. This industry-integrated approach ensures that students don’t just learn concepts, they apply them in real business environments.

Such exposure not only builds skills but also boosts employability, as students develop a strong understanding of how the industry functions even before they graduate.

Multiple Career Pathways

A BBA in IT opens up diverse career opportunities across domains. Graduates can pursue roles such as:

Business Analyst

IT Consultant

Digital Marketing Specialist

Systems Manager

Project Coordinator

Data Analyst

The program also serves as a strong foundation for students aiming to pursue an MBA, especially with specializations in Information Technology, Business Analytics, or Digital Transformation.

Future-Ready Curriculum

The best BBA in it colleges in pune and across India design their curriculum to reflect current market trends. Topics like cloud computing, data visualization, digital business strategies, and cybersecurity are becoming standard parts of the syllabus.

By keeping students updated with emerging technologies, these colleges ensure that graduates are equipped with knowledge that is both current and career-relevant.

Skill Development Beyond Academics

In addition to academic rigor, BBA in IT programs also focuses on developing soft skills like communication, critical thinking, leadership, and teamwork. These qualities are essential in today’s dynamic job market and give students an edge in both interviews and on the job.

Top colleges also organize seminars, business events, and tech fests that allow students to connect with industry leaders and peers, expanding their professional network from an early stage.

Pune: A Growing Hub for IT and Business Education

Pune has emerged as a prominent destination for management and IT education. With its vibrant student community and proximity to India’s major tech hubs, the city offers unmatched academic and professional opportunities. Many BBA in its colleges in pune provide the perfect balance of modern infrastructure, experienced faculty, and strong placement support.

Final Thoughts

If you’re passionate about technology but also want to understand how businesses operate, a BBA in IT offers the ideal blend of both worlds. It’s a future-ready program that equips students with the skills, exposure, and confidence to thrive in a digital economy.

For students seeking quality education in this field, the Symbiosis Institute of Computer Studies and Research (SICSR) offers one of the best bba it courses in Pune. With a forward-thinking curriculum, strong industry connections, and a focus on holistic development, SICSR is a top choice for aspiring business technologists.

[mani022blogs]

Study in Canada: A Gateway to Academic Excellence and Global Careers for Indian Students

In today’s competitive world, choosing where to pursue higher education is more than a decision—it’s a turning point. For Indian students aspiring for global exposure, cutting-edge research, and career-ready education, study in Canada has emerged as one of the most practical, progressive, and popular choices.

With its multicultural environment, student-focused policies, and globally recognized degrees, Canada has steadily grown into a top destination for higher education. But what truly sets it apart is how it blends academic quality with opportunities for long-term settlement, making it a comprehensive package for Indian students.

Why Choose Canada?

Canada’s appeal to Indian students goes far beyond beautiful landscapes and a friendly society. Here's what makes it a standout:

1. Academic Excellence with Global Recognition

Canadian universities consistently rank among the world’s best. They offer research-driven education in fields like Artificial Intelligence, Engineering, Business, Healthcare, and Environmental Sciences. A Canadian degree opens doors across the globe.

2. Affordable Education Compared to Other Western Nations

Studying in Canada is significantly more affordable than the US, UK, or Australia. Publicly funded universities provide top-quality education at a fraction of the cost.

3. Post-Graduation Work Permit (PGWP)

The PGWP allows graduates to work in Canada for up to 3 years after completing their studies. It’s a critical step for those looking to gain experience or eventually settle in Canada permanently.

4. Pathway to Permanent Residency

Canada’s Express Entry system favors international graduates with Canadian work experience. This makes the transition from student to permanent resident seamless.

5. Safe and Multicultural Society

Canada is ranked among the safest countries in the world. With over 300,000 Indian immigrants and students, Indian students quickly feel at home thanks to the community presence, cultural events, and even Indian cuisine on campus.

Top Universities in Canada for Indian Students

If you're considering studying in Canada, it’s important to pick a university that matches your goals, budget, and area of interest. Here are some of the top universities in Canada for Indian students, known for excellence, diversity, and student support:

1. University of Toronto

A global research powerhouse and consistently ranked among the world’s top 25, U of T offers a dynamic mix of programs, especially in AI, business, and engineering.

2. University of British Columbia (UBC)

Located in Vancouver, UBC is famous for its innovative research and inclusive campus life. It’s highly sought after for environmental sciences, data analytics, and healthcare.

3. McGill University

Based in Montreal, McGill is renowned for medicine, law, and liberal arts. It also has generous financial aid and scholarship options for Indian students.

4. University of Waterloo

The go-to choice for engineering and computer science students. Known for its co-op programs, Waterloo blends academic learning with real-world work experience.

5. McMaster University

Highly ranked in health sciences, engineering, and MBA programs, McMaster attracts Indian students with its research focus and vibrant student life.

6. University of Alberta

Located in Edmonton, it’s strong in petroleum engineering, environmental studies, and business. Alberta also offers easier PR pathways due to provincial nominee programs.

Popular Courses Among Indian Students in Canada

Indian students in Canada pursue a wide array of undergraduate and postgraduate programs. Some of the most popular include:

Engineering (Mechanical, Electrical, Civil, Computer)

Business Administration (BBA, MBA, PG Diploma)

Computer Science and Information Technology

Data Science, Cybersecurity, and AI

Healthcare and Nursing

Media and Communications

Hospitality and Tourism Management

Most of these programs come with internship options, co-op terms, and links to top employers in the country.

Cost of Studying and Living in Canada

A key factor in choosing a country to study in is cost. While Canada is not the cheapest option, it offers tremendous value for money.

Tuition Fees:

Undergraduate: CAD 15,000 – 25,000 per year

Postgraduate: CAD 18,000 – 30,000 per year

Living Expenses:

Approx. CAD 10,000 – 15,000 per year depending on location

Students are allowed to work part-time (20 hours/week) during semesters and full-time during holidays, helping them manage living costs.

Scholarships and Financial Support

Canadian institutions and government bodies offer a range of scholarships to ease the financial burden:

Vanier Canada Graduate Scholarships

Ontario Graduate Scholarships

Lester B. Pearson International Scholarship (University of Toronto)

International Major Entrance Scholarship (UBC)

In-program bursaries and faculty-specific awards

Indian students can also apply for scholarships via private trusts or their home state governments.

How to Apply to Canadian Universities

The application process is relatively straightforward:

1. Choose Your Program and University

Research programs that match your academic background and career interests.

2. Meet the Eligibility Criteria

Most universities require:

Academic transcripts (minimum 70%+ for top universities)

English proficiency: IELTS (6.5 – 7.5), TOEFL or PTE

Statement of Purpose and Letters of Recommendation

Resume (for PG courses)

3. Apply Online

You can apply directly through the university website or via province-specific portals like OUAC (Ontario).

4. Receive Offer and Apply for Study Permit

Once you get an offer letter, you’ll need to pay a tuition deposit and apply for a Canadian Study Permit.

Student Life in Canada

Life as a student in Canada is dynamic and enriching. From on-campus clubs and societies to weekend ski trips and cultural festivals, there's a lot to explore.

Many universities have active Indian student associations that celebrate Diwali, Holi, and even organize cricket tournaments!

Career Opportunities and Post-Study Pathways

Canada's economy is strong in sectors such as:

Information Technology

Engineering and Infrastructure

Healthcare and Pharmaceuticals

Banking and Financial Services

Renewable Energy and Environment

Most Indian graduates find employment within 6 months of completing their degree. The Post-Graduation Work Permit gives students time to gain work experience that counts towards permanent residency.

Conclusion: Why Canada Should Be On Your List

In a world full of choices, Canada offers the rare blend of academic credibility, affordability, multiculturalism, and long-term prospects. Whether it’s the opportunity to earn while you learn, the warmth of its inclusive society, or the dream of settling down after your degree, Canada stands out.

For Indian students aiming for more than just a degree—for experience, career, and a future—studying in Canada is more than a decision; it’s a strategy. Explore the wide spectrum of universities in Canada for Indian students, apply smart, and take your first confident step toward a global future.

[cybersecurityict]

Wireless Mesh Network Market Emerging as the Heart of Next-Gen Networking by 2032

Wireless Mesh Network Market was valued at USD 8.57 billion in 2023 and is expected to reach USD 18.94 billion by 2032, growing at a CAGR of 9.26% from 2024-2032. 

Wireless Mesh Network Market is experiencing rapid expansion as demand for flexible, scalable, and high-performance wireless infrastructure grows across industries. These networks are gaining traction for their ability to maintain consistent connectivity in large, dynamic environments—ranging from urban smart cities to military operations and industrial campuses.

U.S. Leads with Smart City and Defense-Driven Adoption

Wireless Mesh Network Market is evolving with advancements in self-healing technologies and adaptive routing protocols. Enterprises, municipalities, and service providers in the U.S. and globally are embracing mesh networks to eliminate single points of failure, reduce latency, and ensure uninterrupted data flow in mission-critical applications.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/6607 

Market Keyplayers:

Aruba Networks, Inc. (aruba instant, aruba airmesh)

BelAir Network Inc. (belair100s, belair200)

Cisco Systems, Inc. (catalyst iw6300, aironet 1570)

Firetide, Inc. (hotport 7000, firetide wlan controller)

Rajant Corp. (breadcrumb dx2, breadcrumb lx5)

Ruckus Wireless, Inc. (zoneflex t710, smartmesh networking)

Strix Wireless Systems Private Ltd. (access/one ows, strix iws)

Synapse Wireless, Inc. (snap mesh network os, synapse rf engines)

Tropos Networks, Inc. (tropos 6420, tropos control)

ZIH Corp. (zebra wireless controllers, zebra ap 7532)

Qualcomm (wi-fi son, ipq solutions for mesh networking)

ABB (tropos mesh router, wireless communication network)

Qorvo (qpg6100 mesh chipset, zigbee/thread modules)

Wirepas (mesh 2.4ghz, wirepas massive)

Cambium Networks (cnpilot e510, cnmatrix switches)

Market Analysis

The Wireless Mesh Network Market is being fueled by growing investments in digital transformation, especially in public safety, smart infrastructure, and remote monitoring. Unlike traditional networks, mesh systems allow each node to relay data, increasing redundancy and resilience. In the U.S., government projects and private enterprises are heavily adopting mesh solutions for real-time surveillance, emergency response, and broadband coverage in underserved areas.

Globally, the shift toward IoT integration and mobile workforce management is boosting the market. Mesh networks are also playing a vital role in hybrid and remote work environments by providing dependable broadband connectivity in rural and suburban regions.

Market Trends

Rising deployment of mesh networks in smart city infrastructure

Expansion in public safety networks (police, fire, emergency response)

Surge in industrial IoT applications demanding low-latency connectivity

Growth in military-grade communication systems and tactical networks

Integration of Wi-Fi 6 and 6E technologies for enhanced throughput

Increasing use of AI for intelligent node management and optimization

Uptake of wireless mesh in home automation and connected living

Market Scope

The market scope is expanding with a wide range of applications from public utilities to enterprise IT, driven by the need for seamless wireless connectivity and network resiliency.

Urban infrastructure and smart grid management

Military bases and defense installations

Mining and oilfield communication networks

Large campus environments (universities, hospitals)

Event coverage and temporary deployments

Edge computing integration for localized data processing

Forecast Outlook

The Wireless Mesh Network Market is on track for accelerated development as technology converges with connectivity demands. In the U.S., federal funding for broadband expansion and digital infrastructure is expected to further boost adoption. Across Europe and Asia-Pacific, mesh networks are becoming a cornerstone for smart ecosystems, transportation networks, and disaster recovery systems. The next wave of growth will be driven by innovations in wireless standards, secure mesh protocols, and cloud-managed platforms enabling scalable, decentralized network design.

Access Complete Report: https://www.snsinsider.com/reports/wireless-mesh-network-market-6607 

Conclusion

The Wireless Mesh Network Market is redefining wireless communication for a connected world. As urban centers modernize and enterprises seek adaptable network solutions, mesh technology is emerging as a foundational layer for future-ready connectivity. Whether improving real-time emergency response in U.S. cities or supporting high-density IoT in European smart grids, the momentum around wireless mesh networks signals a transformative shift in how the world stays connected.

Related Reports:

U.S.A drives robust growth in Audio Communication Monitoring System Market with evolving regulatory frameworks

U.S.A drives innovation as demand surges in the In-Building Wireless Market

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

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Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

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[globosetechnology]

Load and Stress Testing of a Video Streaming Application

In the booming world of video streaming in 2025, delivering uninterrupted content to millions of users is a top priority. Load and stress testing of a video streaming application ensures the platform can handle peak traffic, maintain performance, and prevent crashes under pressure. At Global Techno Solutions, we’ve mastered load and stress testing to optimize streaming services, as showcased in our case study on Load and Stress Testing of a Video Streaming Application. As of June 10, 2025, at 04:15 PM IST, this testing is critical for a flawless user experience.

The Challenge: Handling Peak Demand Without Disruption

A mid-sized video streaming platform approached us on June 07, 2025, with a challenge: their app crashed during a live event with 100,000 concurrent users, resulting in a 35% churn rate and negative reviews. With upcoming global launches, they needed to ensure the platform could handle peak loads and stress without compromising video quality or uptime. Their goal was to implement rigorous load and stress testing to prepare for scalability and reliability.

The Solution: Robust Load and Stress Testing

At Global Techno Solutions, we designed a comprehensive testing strategy to enhance their streaming application. Here’s how we did it:

Load Testing: We simulated 200,000 concurrent users using tools like JMeter to measure response times, bandwidth usage, and server stability under normal and peak conditions.

Stress Testing: We pushed the system beyond its limits with 300,000 virtual users to identify breaking points, focusing on video buffering, latency, and server crashes.

Performance Optimization: We optimized CDN configurations and implemented caching to reduce load times to under 2 seconds, even during spikes.

Real-Time Monitoring: We integrated tools like New Relic to track performance metrics live, allowing quick adjustments during testing.

Failover Testing: We ensured backup servers activated seamlessly during overloads, minimizing downtime.

For a detailed look at our methodology, explore our case study on Load and Stress Testing of a Video Streaming Application.

The Results: A Resilient Streaming Platform

The load and stress testing delivered impressive outcomes for the video streaming app:

99.9% Uptime: The platform handled 250,000 concurrent users without crashes during a live event.

20% Reduction in Buffering: Optimized performance improved video quality.

30% Increase in User Retention: Reliable streaming boosted customer satisfaction.

Cost Savings: Proactive fixes prevented potential revenue loss from downtime.

These results underscore the importance of load and stress testing. Learn more in our case study on Load and Stress Testing of a Video Streaming Application.

Why Load and Stress Testing Matters for Video Streaming Applications

In 2025, load and stress testing is essential for video streaming platforms, offering benefits like:

Reliability: Ensures uninterrupted service during peak usage.

Performance: Maintains high-quality streaming under pressure.

Scalability: Prepares for future growth and global expansion.

User Trust: Prevents disruptions that drive churn.

At Global Techno Solutions, we specialize in load and stress testing to ensure streaming success.

Looking Ahead: The Future of Video Streaming Testing

The future of load and stress testing includes AI-driven predictive analysis, 8K streaming optimization, and edge computing integration. By embracing these trends, Global Techno Solutions ensures our clients stay ahead in the streaming industry.

For a comprehensive look at how we’ve enhanced video streaming apps, check out our case study on Load and Stress Testing of a Video Streaming Application. Ready to optimize your streaming platform? Contact Global Techno Solutions today to learn how our expertise can support your vision.

[robotico-digital]

Breaking Barriers in Software Quality: Advanced API Testing Services for Modern Architectures

In the dynamic landscape of software engineering, application performance, scalability, and reliability have become non-negotiables. With the shift from monolithic architectures to microservices, and the explosion of interconnected systems, APIs are now the backbone of modern digital ecosystems. As APIs grow in complexity and ubiquity, so too must the strategies used to test them.

At Robotico Digital, we understand that software quality hinges on much more than clean UI and functional frontends. It’s about what lies beneath — how systems interact, how services communicate, and how fast and securely data flows between components. This is where our API Testing Services break barriers, ensuring quality at the very core of your application stack.

Understanding API Testing in the Context of Modern Architectures

API Testing refers to the process of validating application programming interfaces (APIs) directly at the message layer, without the use of a GUI. It verifies that APIs return correct responses, handle errors appropriately, and meet performance and security expectations.

In microservices, APIs are the only communication mechanism between services. In serverless computing, APIs trigger the logic. And in mobile-first or headless applications, APIs drive every interaction.

Thus, API Testing Services today must adapt to modern environments by:

l Supporting asynchronous data flow and event-driven models.

l Validating REST, SOAP, GraphQL, gRPC, and WebSocket protocols.

l Integrating with CI/CD pipelines and DevOps tools for rapid iteration.

Why Traditional Testing Fails Modern Architectures

Legacy testing models often fall short because:

l They rely heavily on UI testing, which isn’t scalable or robust.

l They fail to isolate service-level issues in microservice deployments.

l They lack integration with agile development and DevOps cycles.

At Robotico Digital, we address these challenges with a future-ready API-first testing strategy that enables rapid development and secure, stable deployments.

Robotico Digital's Advanced API Testing Services: A Framework of Excellence

Our API Testing Services are structured around an advanced framework tailored for high-speed development environments, featuring:

1. Protocol-Agnostic Testing Architecture

Our test harness supports:

l REST, SOAP, GraphQL, gRPC, WebSocket, and JSON-RPC

l OAuth, JWT, and API Key-based authentication

l Complex nested payloads and chained request workflows

We don’t just send requests and verify status codes — we simulate real-world behavior.

2. Contract Testing with Swagger and OpenAPI

We validate API contracts using:

l Swagger and Postman schema validations

l Pact-based consumer-driven testing

l Automated schema diff tools

This ensures API consistency across development teams, especially in environments with multiple consumer applications.

3. Comprehensive Functional and Regression Suites

Our functional testing stack includes:

l Request/response validation with parameterized payloads

l Chaining dependent API calls to simulate real transactions

l Edge-case testing for malformed requests and injection handling

These suites form the backbone of our regression testing strategy, ensuring every build remains stable without code breaks.

Seamless Integration with DevOps Pipelines

In a CI/CD world, testing must be continuous. Robotico Digital provides seamless API Testing Service integration with:

l Jenkins, GitHub Actions, GitLab CI, Azure DevOps

l Dockerized test runners for isolated test environments

l Slack and Teams integrations for alerting and test reports

Tests are triggered automatically on code commits or builds, reducing human intervention and increasing speed.

API Test Automation: Scaling Quality at Speed

Automation is key to modern testing strategies. Robotico Digital leverages:

l Postman + Newman for exploratory and lightweight test execution

l REST Assured + TestNG for Java-based enterprise-grade test suites

l Cypress and Supertest for JavaScript and Node.js applications

l Karate DSL for end-to-end BDD-driven API Testing

We use data-driven test design and test parallelism to achieve high throughput and full API coverage — even across large microservices ecosystems.

Intelligent Test Data Management (TDM)

Test data is critical, especially when APIs depend on complex backend states. Our TDM solutions provide:

l Synthetic test data generation using Faker and Mockaroo

l Encrypted data masking for secure production cloning

l Environment-specific data pools to avoid cross-test pollution

This empowers our teams to run API tests with production-like reliability in test environments.

Performance & Load Testing of APIs

APIs underperforming in production can lead to latency, downtime, and failed transactions. Robotico Digital performs rigorous API performance testing, including:

Load Simulation with tools like JMeter, Gatling, and Locust

l Spike, soak, and stress testing to evaluate limits

l Latency monitoring across geographies

l Response time threshold validations

Our tests replicate thousands of concurrent requests, ensuring your APIs hold up under real-world traffic scenarios.

API Security Testing: Guarding the Gateway

Since APIs often expose business logic and sensitive data, security testing is non-negotiable. Robotico Digital incorporates security scanning into API Testing Services by:

l Validating for OWASP API Top 10 vulnerabilities

l Testing for broken authentication, excessive data exposure, rate limiting, and injection attacks

l Integrating Burp Suite, OWASP ZAP, and custom security probes into test pipelines

We don’t just test functionality — we test for resilience against malicious attacks.

Real-Time Reporting and Analytics

Transparency is critical. Our reporting dashboard includes:

l Detailed test summaries with pass/fail ratios

l Latency graphs and time-to-first-byte analysis

l Defect tracking with Jira, Azure Boards, or custom integrations

l REST APIs to extract test data into BI tools or custom reports

Clients always have clear visibility into the testing progress and quality metrics.

Future-Forward Testing with AI & ML

Robotico Digital is investing in the next generation of API Testing with:

l AI-based anomaly detection using test execution logs

l Predictive analytics to identify flaky endpoints

l Self-healing scripts that auto-adjust to changes in API structures

l NLP-driven test generation for conversational interfaces and AI-driven apps

These features ensure our API Testing Services evolve alongside tomorrow’s tech stacks.

Why Choose Robotico Digital for API Testing Services?

Here’s what sets us apart:

l Protocol-flexible architecture for REST, GraphQL, gRPC & more

l Intelligent automation backed by AI and ML

l Deep integration of performance and security testing

l CI/CD-native workflows built for speed

l Real-time test reporting and analytics dashboards

l Domain expertise across finance, healthcare, retail, SaaS, and telecom

We don’t just validate APIs — we engineer confidence into your ecosystem.

Conclusion: Quality at the Core of Connectivity

As businesses increasingly rely on interconnected software and modular architectures, API quality is business quality. At Robotico Digital, we’re pushing the boundaries of what's possible with API Testing Services — from functional validations and performance simulations to proactive security and predictive analytics.

If you're building for scale, agility, and resilience, let Robotico Digital be your QA partner. We ensure every interaction your users experience is powered by secure, fast, and flawless APIs.

[generativeinai]

AIOps Platform Development Trends to Watch in 2025

As IT environments grow in complexity and scale, organizations are increasingly turning to AIOps (Artificial Intelligence for IT Operations) platforms to manage, monitor, and optimize their digital operations. With the rapid advancement of artificial intelligence, machine learning, and automation, AIOps platforms are evolving fast—and 2025 is poised to be a transformative year.

In this blog, we’ll explore the top AIOps platform development trends that IT leaders, DevOps teams, and platform engineers should keep a close eye on in 2025.

1. Hyperautomation Across the IT Stack

In 2025, AIOps will go beyond simple automation to achieve hyperautomation—the orchestration of multiple tools and technologies to automate entire IT processes end-to-end. This trend will be driven by:

Seamless integration with ITSM and DevOps pipelines

Intelligent remediation using AI-based decisioning

Workflow automation across hybrid and multi-cloud environments

By reducing manual intervention, hyperautomation will not only accelerate incident response times but also enhance reliability and scalability across enterprise IT.

2. Edge AIOps for Distributed Infrastructure

The rise of edge computing is pushing data processing closer to where it's generated, creating new challenges for monitoring and management. In 2025, AIOps platforms will evolve to support edge-native environments by:

Deploying lightweight agents or AI models at the edge

Aggregating and analyzing telemetry data in real-time

Providing anomaly detection and predictive insights without reliance on central data centers

This decentralization is essential for use cases like smart factories, autonomous vehicles, and IoT networks.

3. Explainable and Transparent AI Models

AIOps platforms have long been criticized as “black boxes,” making it hard for IT teams to understand how decisions are made. In 2025, explainability and transparency will become core design principles. Look for:

Integration of Explainable AI (XAI) frameworks

Visual traceability for root cause analysis

Model validation and fairness reporting

Organizations will demand greater trust in AI-driven recommendations, especially in regulated industries like finance, healthcare, and critical infrastructure.

4. Unified Observability Meets AIOps

The lines between observability and AIOps are blurring. In 2025, we’ll see a convergence where AIOps platforms offer:

Unified telemetry ingestion (logs, metrics, traces, events)

AI-driven noise reduction and correlation

Full-stack visibility from application to infrastructure

This merger will empower IT teams with faster root cause identification, reduced alert fatigue, and improved mean time to resolution (MTTR).

5. Self-Healing Systems Powered by Generative AI

With the maturing of generative AI, AIOps will shift from reactive problem-solving to proactive, self-healing systems. Expect to see:

GenAI models generating remediation scripts on the fly

Autonomous rollback and recovery mechanisms

Intelligent runbooks that evolve over time

These capabilities will reduce downtime and free up human operators to focus on innovation rather than firefighting.

6. Vertical-Specific AIOps Solutions

Generic AIOps solutions will give way to industry-specific platforms tailored to vertical needs. In 2025, we’ll see a rise in AIOps platforms built for:

Telcos needing low-latency incident detection

Banks with strict compliance and audit requirements

Healthcare systems managing sensitive patient data

These tailored solutions will offer pre-trained models, domain-specific KPIs, and compliance-ready toolchains.

7. Data-Centric AIOps Development

As model performance is increasingly tied to data quality, 2025 will see a pivot toward data-centric AI in AIOps development. This involves:

Enhanced data governance and lineage tracking

Automated data labeling and cleansing pipelines

Feedback loops from operators to continuously improve AI accuracy

Well-curated, high-quality data will be a competitive differentiator for AIOps vendors and adopters alike.

8. AI-Augmented Collaboration for DevSecOps

AIOps will increasingly act as a collaborative intelligence layer across development, security, and operations. Platforms will support:

Shared dashboards with contextual insights

AI-driven alerts tailored to team roles (Dev, Sec, Ops)

Secure collaboration workflows across toolchains

This shift toward cross-functional enablement will align with the growing popularity of platform engineering and GitOps practices.

Final Thoughts

The AIOps landscape in 2025 will be defined by more intelligent, agile, and domain-aware platforms. As the pressure mounts to deliver seamless digital experiences while managing increasing complexity, organizations will need to adopt AIOps platform Development strategies that prioritize automation, trust, and observability.

Forward-thinking enterprises that invest early in these trends will position themselves for operational resilience, cost optimization, and continuous innovation in an increasingly dynamic IT world.

[earthobservation]

How AI Stopped a $5M IP Leak—and What It Teaches Us About Protecting Nature’s Secrets

In an age where agriculture and artificial intelligence converge, data has become the most valuable resource on the farm. But what happens when this digital gold is at risk of falling into the wrong hands? A recent close call involving a $5 million intellectual property (IP) leak sheds light on the critical importance of robust Agritech IP solutions, particularly in the world of precision agriculture IP protection.

The incident involved I-Sat, an industry leader in turning complex satellite data into actionable insights for the agricultural sector. I-Sat’s integrated earth intelligence platform has become a cornerstone in enabling smarter, faster, and more informed farming decisions. With capabilities that translate raw satellite data into critical insights on crop health, irrigation, and yield predictions, the platform empowers both smallholder farmers and large agribusinesses alike.

But the same advanced analytics that make I-Sat revolutionary also make it a high-value target. Earlier this year, a sophisticated cyberattack attempted to exploit a vulnerability in the platform’s backend system—targeting proprietary machine learning models trained on millions of acres of agricultural data. These models are central to I-Sat’s ability to deliver real-time, actionable intelligence. Had the breach succeeded, the attackers could have sold the algorithms to competitors, resulting in an estimated $5 million loss in intellectual property and years of lost research.

What stopped it? Ironically, it was “scent”—not in the literal sense, but a proprietary AI-based anomaly detection system nicknamed "Scent" by I-Sat’s internal security team. Using federated learning and behavioral pattern recognition, the system detected subtle changes in data access behavior and alerted the team before any damage occurred. This incident highlights how cutting-edge AI not only powers precision agriculture but also safeguards it from digital threats.

The lessons are profound. First, in today’s fragmented market of Earth observation satellite data, platforms like I-Sat are essential in making sense of the complexity. While the raw data is abundant, interpreting it meaningfully has long been a barrier. I-Sat bridges that gap by transforming terabytes of satellite imagery into digestible insights, optimizing every aspect of agriculture from pest control to water management.

Second, it’s not enough to innovate—you must protect that innovation. The importance of Agritech IP solutions cannot be overstated. Everything from the algorithms that process geospatial imagery to the intuitive user interface designs of platforms like I-Sat must be protected through comprehensive IP strategies. This ensures continued investment in technology development and maintains competitive advantage in an increasingly data-driven industry.

Equally critical is precision agriculture IP protection, which guards the integrity of technologies that empower real-time farm management. As agriculture becomes increasingly digitized, the risk of cyber threats targeting proprietary data and tools also rises. Solutions like decentralized data storage, federated learning, and on-site edge computing are no longer just performance enhancers—they are essential safeguards against both economic and ecological threats.

Moreover, the event underscores the need for cross-sector collaboration. Agricultural innovation does not occur in isolation. It depends on a secure, cooperative ecosystem where stakeholders—farmers, agritech companies, research institutions, and policymakers—can share insights without jeopardizing their proprietary assets.

In the wake of this near breach, I-Sat has doubled down on its commitment to both technological advancement and security. It now serves as a powerful example of how protecting nature’s secrets—through the lens of intellectual property—is as vital as uncovering them.

As we look ahead, platforms like I-Sat are defining the future of agriculture. Their success not only hinges on powerful AI and satellite integration but also on smart, forward-looking IP protection strategies. In a world where the scent of innovation is as vulnerable as it is valuable, safeguarding it ensures that agriculture continues to grow greener, smarter, and more secure.

For more details, Visit: https://scsolutions.ai/

[govindhtech]

Bolttech Improves Customer Experience with AWS Generative AI

Bolttech

Bolttech powers hyper-personalized customer services with AWS generative AI.

Bolttech, a Singapore-based insurtech company, said today that it is integrating Amazon Web Services (AWS) Gen AI technology into its internal and customer operations. The project aims to cut costs, boost efficiency, and personalise client experiences.

Bolttech GenAI Factory, a Gen AI platform using Amazon Bedrock, serves millions of users in 37 countries on four continents. Bolttech's Amazon Connect-powered omni-channel customer experience solution will benefit from this platform. Bolttech's internal teams will use the GenAI Factory to develop and deploy Gen AI apps in addition to customer interactions.

As a first GenAI Factory application, Bolttech's chatbots have advanced speech-to-speech capabilities. This connection is meant to promote natural multilingual customer conversations. This is tested in Korean first. The service provides tailored, real-time insurance policy replies in local languages. It can answer simple to complex enquiries with practically rapid responses. Human agents can focus on higher-value interactions by automating monotonous tasks like claims processing with the software. This should improve operational efficiency and Bolttech's international customer service.

“At Bolttech, it remains steadfast in the vision to connect people with more ways to protect the things they value,” stated Philip Weiner, Asia CEO, concerning the cooperation. The right data and AI infrastructure are needed to achieve this ambition, he said. Weiner claims that AWS's cloud computing and Gen AI services, such as Amazon Bedrock, provide the framework for accessing a variety of model options, excellent price-performance ratios, and strong enterprise trust and safety features that Bolttech needs.

Weiner stressed that having many AI models, like Amazon Nova, encourages speedy innovation to improve consumer experiences. Agentic AI can deliver near-human AI interactions, real-time policy explanations, and quick claims processing. His conclusion was that this relationship allows Bolttech to provide its partners and clients more options and cutting-edge security solutions.

The Bolttech GenAI Factory drives enterprise-wide innovation beyond call centre augmentation and claims settlement. It lets internal teams build and deploy Gen AI apps. These apps encompass product design, customer assistance, underwriting, and claims processing along the insurance value chain.

Bolttech will use AWS's infrastructure to improve its client product offerings' prediction, prevention, and recovery with AI.

AI is used to improve risk assessment and deliver personalised insurance products like real-time vehicle insurance price changes based on driving behaviour prediction.

AI-driven early warning systems for cyberattacks, natural disasters, and other threats are the core goal of prevention. Policyholders can prevent losses by adopting precautions.

Recovery entails using AI-powered chatbots and virtual assistants to accelerate up claims processing and help policyholders immediately after an occurrence.

These changes should lower loss ratios over time and provide speedy, complete recovery and remediation after inevitable loss events.

According to Priscilla Chong, Country Manager, AWS Singapore, the Southeast Asian insurance business is using generative AI and new cloud technologies to make asset protection simpler, more accessible, and cheaper. She noted Bolttech, which uses generative AI to improve client experiences, operational efficiency, and global insurance service innovation. Chong said AWS is pleased to cooperate with Bolttech and that AWS's model-neutral, choice-based philosophy gives AI-first clients AI-powered ease.

Bolttech also uses AWS to accelerate time to market and simplify software development. According to sources, Amazon Q Developer experimental use cases have benefits. Bolttech saved over 50% of development time by updating code documentation files. Amazon Q Developers learnt codebases faster.

It quickly analyses large file sets and returns low-level details and high-level intents, speeding learning. Amazon Q Developer works well with Bolttech's main programming languages, Python and JavaScript, making it suitable for data scientists and backend and frontend developers. This avoids key distractions and lets Bolttech developers code and multitask.

As noted in previous updates, Bolttech's extensive usage of AWS Gen AI capabilities enables its international expansion and strategic relationships. Bolttech prioritises AI-driven customisation, efficiency, and product innovation to improve its platform and protective product delivery.

[global-research-report]

Synthetic Data Revolution: Market Dynamics, Challenges & Strategic Insights

The global synthetic data generation market is set to soar to USD 1,788.1 million by 2030, expanding at an impressive CAGR of 35.3% between 2024 and 2030. This surge is largely driven by the pressing need for high-quality, privacy-compliant training data and the ever-growing appetite for AI-powered innovation across industries.

Synthetic data—artificially generated datasets that mimic real-world counterparts—has rapidly become a cornerstone for AI development. By offering a cost-effective and scalable alternative to costly, manually labeled datasets, it breaks down traditional barriers to machine-learning projects. Organizations can now simulate rare events, balance demographic representations, and rigorously test algorithms without exposing sensitive personal information.

Another catalyst is the explosive proliferation of smart devices. For example, automakers leverage synthetic images and sensor data to fine-tune in-cabin camera placements and improve computer-vision accuracy under diverse lighting conditions. As connected devices multiply, the volume of real-world data becomes unwieldy; synthetic data tools fill this gap by furnishing perfectly labeled, edge-case scenarios that accelerate model training and validation.

In practice, synthetic data often complements real data to bolster algorithm robustness. Enterprises across verticals—from autonomous vehicles and manufacturing to retail analytics—are weaving artificial datasets into their digital transformation strategies. Computer vision applications benefit from enriched training sets that capture occlusions and varying angles; virtual- and augmented-reality platforms gain from lifelike interactions; and content-moderation systems harness synthetic speech and text samples to detect harmful language.

Leading technology players are already investing heavily. In October 2021, Meta (formerly Facebook) acquired AI.Reverie, a startup specializing in high-fidelity synthetic image generation. Earlier, in July 2020, AI.Reverie secured a USD 1.5 million SBIR Phase 2 contract from AFWERX (the U.S. Air Force’s innovation arm) to create synthetic visuals for navigation-vision training—underscoring government interest in these capabilities.

The IT & telecommunications sector likewise champions synthetic data to circumvent privacy constraints and speed up service rollouts. Telecom giant Türk Telekom announced investments in four AI startups—Syntonym, B2Metric, QuantWifi, and Optiyol—in October 2021, with Syntonym focused on next-generation data anonymization techniques.

Asia Pacific stands out as a hotbed for synthetic data adoption, propelled by rapid digitalization and substantial R&D in computer vision, predictive analytics, and natural-language processing. Countries like China, India, Japan, and Australia are integrating synthetic language corpora to refine virtual assistants and ensure compliance with stringent privacy regulations.

Looking ahead, the convergence of AI, machine learning, and burgeoning metaverse platforms will further intensify demand for artificial datasets. Data scientists and engineers increasingly rely on synthetic data not only to safeguard privacy but also to extract actionable insights from scenarios that real data cannot easily capture.

Market Report Highlights

Fully Synthetic Data Segment Poised for significant expansion as enterprises in both mature and emerging economies seek enhanced privacy guarantees without compromising on data variety or fidelity.

End-Use: Healthcare & Life Sciences Expected to record a standout CAGR, driven by stringent patient-data protection laws and the critical need for anonymized clinical and imaging datasets.

Regional Focus: North America Anticipated to maintain a leading position thanks to early adoption of computer vision, natural-language processing initiatives, and robust investment in AI research.

Broader Industry Adoption Sectors such as BFSI (Banking, Financial Services & Insurance), manufacturing, and consumer electronics are increasingly embedding synthetic data in product testing, risk modeling, and quality assurance—while a new wave of specialized vendors sharpens their synthetic-data offerings to deepen market penetration.

 

Get a preview of the latest developments in the Synthetic Data Generation Market? Download your FREE sample PDF copy today and explore key data and trends

 

Synthetic Data Generation Market Segmentation

Grand View Research has segmented the global synthetic data generation market based on data type, modeling type, offering, application, end-use, and region:

Synthetic Data Generation Data Outlook (Revenue, USD Million, 2018 - 2030)

Tabular Data

Text Data

Image & Video Data

Others

Synthetic Data Generation Modelling Outlook (Revenue, USD Million, 2018 - 2030)

Direct Modeling

Agent-based Modeling

Synthetic Data Generation Offering Band Outlook (Revenue, USD Million, 2018 - 2030)

Fully Synthetic Data

Partially Synthetic Data

Hybrid Synthetic Data

Synthetic Data Generation Application Outlook (Revenue, USD Million, 2018 - 2030)

Data Protection

Data Sharing

Predictive Analytics

Natural Language Processing

Computer Vision Algorithms

Others

Synthetic Data Generation End Use Outlook (Revenue, USD Million, 2018 - 2030)

BFSI

Healthcare & Life Sciences

Transportation & Logistics

IT & Telecommunication

Retail and E-commerce

Manufacturing

Consumer Electronics

Others

Synthetic Data Generation Regional Outlook (Revenue, USD Million, 2018 - 2030)

North America

US

Canada

Mexico

Europe

UK

Germany

France

Asia Pacific

Japan

China

India

Australia

South Korea

Latin America

Brazil

Middle East & Africa

UAE

Saudi Arabia

South Africa

Key Players in Synthetic Data Generation Market

MOSTLY AI

Synthesis AI

Statice

YData

Ekobit d.o.o. (Span)

Hazy Limited

SAEC / Kinetic Vision, Inc.

kymeralabs

MDClone

Neuromation

Twenty Million Neurons GmbH (Qualcomm Technologies, Inc.)

Anyverse SL

Informatica Inc.

Order a free sample PDF of the Market Intelligence Study, published by Grand View Research.

[sun-locksmiths]

How a Car Locksmith Jacksonville Stay Ahead of Security Trends?

Car keys are no longer made of simple metal material. Today, the vehicles are equipped with high technology systems, such as transponder chips and smart keyless entry. With the increase in automotive technology, the challenges and opportunities too have evolved for the car locksmith Jacksonville. For locksmith, staying up-to-date with the trends is no longer option, but essential. The vehicle manufacturers tend to update their safety and security regularly to stay ahead of the curve. When you don’t stay ahead of curve you can serve your customers effectively. Let’s understand how the locksmith can stay ahead of the vehicle security trends and how it can benefit the customers. 1. For the modern cars, the security systems are also an upgrade. They are no longer mechanical systems but, digital and encrypted versions connected to Internet. The key trends involved in this security aspect include transponder keys with immobilizers. They also offer keyless entry with push-to-start ignition along with smartphone controlled locking systems. Moreover, you will get encrypted onboard diagnostic ports for increased security. Biometric access prevents lockout and ensures better accessibility. It is an emerging aspect of security with car systems. You can also ensure remote key reprogramming via the app or cloud. With these advance security systems, you get convenience. However, these systems also lead to complexity, which is why it is important for the mobile locksmith Jacksonville FL to stay updated. 2. To ensure that the locksmith can ensure legal and safe security upgrades, they undergo regular training with proper certification. They need to update themselves with manufacturer-driven key reprogramming. The locksmith must undergo advanced lock picking with decoding modern vehicles services. Security module reprogramming and transponder cloning diagnostics. They need to partner with the leading organizations and attend the industry events and expos. This would help them gain understanding of new tools and techniques. They are also trained to handle the electronic and computer systems. 3. The car locksmith Jacksonville must invest in cutting-edge tools. They need to ensure they have the right equipment. The advanced tools include OBD key reprogrammers like smart pro and autopropad. The laser key cutting machine along with transponder key duplicators are also important for the car locksmith. They should also invest in smart key reprogramming software as well as diagnostic scanners for immobilizer systems. Using these tools, the locksmith can work on vehicles like BMW, Mercedes, Ford and Toyota without needing to tow your car to the dealership. 4. The locksmith has an experience of working with several foreign and domestic cars. They would have covered a broad spectrum of makes and models that makes them an expert. They would have the databases, schematics and key code resources to work efficiently and accurately on the different models and makes of the car. As a car locksmith, you should stay updated with the yearly security from automakers. They should be aware of the new encryption protocols and transponder systems, which makes them cut replacement key and program the same. 

By staying ahead of the curve, the mobile locksmith Jacksonville FL, can ensure faster service times and accurate key reprogramming.