#AI and cloud computing

[jcmarchi]

Manus AI agent: breakthrough in China's agentic AI

New Post has been published on https://thedigitalinsider.com/manus-ai-agent-breakthrough-in-chinas-agentic-ai/

Manus AI agent: breakthrough in China's agentic AI

Manus AI agent is China’s latest artificial intelligence breakthrough that’s turning heads in Silicon Valley and beyond. Manus was launched last week via an invitation-only preview, and represents China’s most ambitious entry into the emerging AI agent market.

Unlike anything seen to date, the Manus AI agent doesn’t just chat with users – it is allegedly capable of independently tackling complex multi-step tasks with minimal human guidance.

Developed by Chinese startup Butterfly Effect with financial backing from tech giant Tencent Holdings, Manus AI agent has captured global attention for its ability to bridge the gap between theoretical AI capabilities and practical, real-world applications. It uses an innovative multi-model architecture that combines the strengths of multiple leading language models.

Breakthrough autonomous task execution

In a post on X, Peak Ji Yichao, co-founder and chief scientist at Butterfly Effect, said that the agentic AI was built using existing large language models, including Anthropic’s Claude and fine-tuned versions of Alibaba’s open-source Qwen.

Its multi-model nature allows Manus to use different AI strengths according to what’s demanded of it, resulting in more sophisticated reasoning and execution capabilities.

“The Manus AI agent represents a fundamentally different approach to artificial intelligence,” CNN Business stated. According to coverage, Manus “can carry out complex, multi-step tasks like screening resumés and creating a website,” and “doesn’t only generate ideas but delivers tangible results, like producing a report recommending properties to buy based on specific criteria.”

Real-world performance assessment

In an extensive hands-on evaluation, MIT Technology Review tested the Manus AI agent in three distinct task categories: compiling comprehensive journalist lists, conducting real estate searches with complex parameters, and identifying candidates for its prestigious Innovators Under 35 program.

“Using Manus feels like collaborating with a highly intelligent and efficient intern,” wrote Caiwei Chen in the assessment. “While it occasionally lacks understanding of what it’s being asked to do, makes incorrect assumptions, or cuts corners to expedite tasks, it explains its reasoning clearly, is remarkably adaptable, and can improve substantially when provided with detailed instructions or feedback.”

The evaluation revealed one of the Manus AI agent’s most distinctive features – its “Manus’s Computer” interface, which provides unprecedented transparency into the AI’s decision-making process.

The application window lets users observe the agent’s actions in real time and intervene when necessary, creating a collaborative human-AI workflow that maintains user control while automating complex processes.

Technical implementation challenges

Despite impressive capabilities, the Manus AI agent faces significant technical hurdles in its current implementation.MIT Technology Reviewdocumented frequent system crashes and timeout errors during extended use.

The platform displayed error messages, citing “high service load,” suggesting that computational infrastructure remains a limitation.

The technical constraints have contributed to highly restricted access, with less than 1% of wait-listed users receiving invite codes – the official Manus Discord channel has already accumulated over 186,000 members.

According to reporting from Chinese technology publication36Kr, the Manus AI agent’s operational costs remain relatively competitive at approximately $2 per task.

Strategic partnership with Alibaba Cloud

The creators of the Manus AI agent have announced a partnership with Alibaba’s cloud computing division. According to a South China Morning Post report dated March 11, “Manus will engage in strategic cooperation with Alibaba’s Qwen team to meet the needs of Chinese users.”

The partnership aims to make Manus available on “domestic models and computing platforms,” although implementation timelines remain unspecified.

Parallel advancements in foundation models

The Manus-Alibaba partnership coincides with Alibaba’s advances in AI foundation model technology. On March 6, the company published its QwQ-32B reasoning model, claiming performance characteristics that surpass OpenAI’s o1-mini and rivalling DeepSeek’s R1 model, despite a lower parameter count.

CNN Businessreported, “Alibaba touted its new model, QwQ-32B, in an online statement as delivering exceptional performance, almost entirely surpassing OpenAI-o1-mini and rivalling the strongest open-source reasoning model, DeepSeek-R1.”

The claimed efficiency gains are particularly noteworthy – Alibaba says QwQ-32B achieves competitive performance with just 32 billion parameters, compared to the 671 billion parameters in DeepSeek’s R1 model. The reduced model size suggests substantially lower computational requirements for training and inference with advanced reasoning capabilities.

China’s strategic AI investments

The Manus AI agent and Alibaba’s model advancements reflect China’s broader strategic emphasis on artificial intelligence development. The Chinese government has pledged explicit support for “emerging industries and industries of the future,” with artificial intelligence receiving particular focus alongside quantum computing and robotics.

Alibaba will invest 380 billion yuan (approximately $52.4 billion) in AI and cloud computing infrastructure in the next three years, a figure the company notes exceeds its total investments in these sectors during the previous decade.

As MIT Technology Review’s Caiwei Chen said, “Chinese AI companies are not just following in the footsteps of their Western counterparts. Rather than just innovating on base models, they are actively shaping the adoption of autonomous AI agents in their way.”

The Manus AI agent also exemplifies how China’s artificial intelligence ecosystem has evolved beyond merely replicating Western advances. Government policies promoting technological self-reliance, substantial funding initiatives, and a growing pipeline of specialised AI talent from Chinese universities have created conditions for original innovation.

Rather than a single approach to artificial intelligence, we are witnessing diverse implementation philosophies likely resulting in complementary systems optimised for different uses and cultural contexts.

[warakami-vaporwave]

BSOD v2 Sunset Clouds

[sentivium]

omg this is so disturbing

so many startups AI companies in LA, are they hit badly?

[thatswhatsushesaid]

just like with machine learning, we can and should demystify “the cloud” without demonizing it in the process. cloud computing and cloud storage architecture are extremely useful tools; it’s how they get deployed by big tech companies that can be a problem.

[atcuality3]

Empower Your Digital Presence with Cutting-Edge Frameworks

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[sstechsystemofficial]

Trusted outsource software development teams - SSTech System

Outsource software development is the practice of relinquishing software-related duties to outside singularities or organizations. Outsourcing is used by firms to acquire software services and products from outside firms that do not have direct employees or employees under contract to the business entity that is outsourcing.

Infect, the outsourcing market worldwide is projected to grow by 8.28% (2025-2029) resulting in a market volume of US$812.70bn in 2029. This model is highly versatile and suits businesses of all sizes.

Start-ups often use outsourcing to develop MVPs quickly, while established companies might seek custom software development services or AI outsourcing services to address complex challenges. Outsourcing can include working with offshore development teams, global software development partners, or local experts like Australian software development experts for specific projects.

The benefits of outsourcing software development

Outsourcing has become a cornerstone for modern businesses due to its numerous advantages. Here’s a closer look at the key benefits:

1. Cost efficiency

Perhaps the biggest incentive for sourcing solutions from outsourcing service providers is the cost cutting factor. For instance, offshore software development in India provides expertise services at comparatively lower cost than that of in-house developed services in Western countries. This efficiency enable the enactments of cost savings in some other strategic sectors of the organization.

2. Access to global talent

Outsourcing can help to discover the wealth of new talents as well as the skills of professionals from other countries. No matter Whether it’s AI and machine learning integration, web application development in Australia, or outsourced healthcare software development, businesses can find experts in virtually any domain.

3. Scalability and flexibility

Outsourcing offers flexibility that is unparalleled in many organizations today. This is because; firms are able to expand and contract particular teams depending on the specific demand in projects. For example, outsourced IT solutions help business organizations prepare for different conditions while not having to employ permanent workers.

4. Faster time-to-market

With reliable software development teams in Australia or offshore development teams in India, businesses can speed up their project timelines. This helps innovations to make it through to the market early enough, which is useful for companies.

5. Focus on core activities

By delegating tasks like software maintenance and support or cloud software development in Australia to outsourcing partners, businesses can focus on their core competencies and strategic goals.

6. Reduced risk

In-house staff and trained outsourcing partners come with best practices, methods and procedures which when implemented reduce the chances of project hitch. Working with the top-rated IT outsourcing companies in Australia gives you confidence that your project is in safe hands.

Choosing the right outsourced software development partner

In the period from 2023 to 2027, the revenue of software outsourcing is forecasted to thrive at a CAGR of 7.54%. So, outsourcing partner selection is one of the most vital components since it determines the success of a given venture. Here are essential factors to consider:

1. Technical expertise

Check the partner’s competency and his knowledge of the field.  For instance, SSTech System Outsourcing offers comprehensive solutions, from AI development services in India to mobile app development outsourcing in Australia.

2. Proven track record

Look for partners with a strong portfolio and positive client testimonials. A proven track record in delivering custom software development services or managing outsourcing software development contracts is a good indicator of reliability.

3. Effective communication

Effective and open communication is extremely important if the project is to be successful. Work with people who give frequent reports and employ efficient media to overcome the differences in time areas.

4. Cultural compatibility

There has to be a cultural match or at least appreciation for each other’s customs for there to be harmony in the working relationship. As such, staffed with proficient Australia software development experts or offshore development teams, whose experience is to work on global markets can coordinate and blend well with your work culture.

5. Security and compliance

You have to make sure that your partner complies with the standards and the policies that are in the industry. This is especially substantial for all information-sensitive projects such as outsourced healthcare software development or cloud software development in Australia.

6. Scalable infrastructure

Choose a partner capable of scaling their resources and infrastructure to meet your project’s evolving needs. This is crucial for long-term collaborations, especially with global software development partners.

AI-powered tools for outsourced development teams

According to a report from the US Bureau of Labor Statistics, software development ranks among the most sought-after professions. Hence, AI is at the forefront of reshaping the outsourcing industry. Therefore, the implementation of artificial intelligence will add value to business processes, make workflow easier, and boost the results of projects. Here are some examples:

1. Automated code reviews

Tools like DeepCode and SonarQube assist outsourced teams in detecting whether errors reside in the code line or not, and whether code needs to be enriched or not. This is particularly accurate concerning AI outsourcing and in-house development industries.

2. Predictive analytics

Automated analytics tools can predict such things as the time it will take to complete the project, how much money it will cost, and what risks are possible in a software development outsourcing scenario.

3. Smart project management

Tools and platforms such as Jira and Monday.com, when empowered with AI, allow the coordination of tasks and the tracking of progress and resource allocation.

4. AI collaboration tools

Communication and collaboration with internal members and offshore software development Australia partners get facilitated through applications that include, Slack, Microsoft Teams, and zoom with integrated AI functions.

5. Natural Language Processing (NLP)

AI-powered chatbots and virtual assistants simplify communication and issue resolution, making them valuable for managing outsourced IT solutions.

Best practices for managing outsourced development teams

Outsourced teams should be mandated and coordinated following a number of recommendations to ensure the efficiency of the entirety of the outsourcing process.

Here are the best practices to ensure your project’s success:

1. Set clear objectives

Make it clear to your project team, stakeholders, and other relevant parties what the parameters of the project are, what it is that you expect out of it, and what you expect to get from it in return. This fostaines consistency between your team and the outsourcing partner to increase efficiency in service delivery.

2. Choose the right tools

Use project tracking and collaboration software approaches to track and evaluate progress and meet regular informality and collaboration targets.

3. Foster a collaborative environment

It is worthy of note that constant communication is key to ensuring that your outsourcing team is on the same page with you. Fresh produce and feedback mechanisms need to be provided in order for there to be trust as is needed in project management.

4. Draft comprehensive contracts

There should be a comprehensive outsourcing software development contract. It should address issues to do with confidentiality, ownership of ideas and concepts, plea structure and mode of handling disputes.

5. Focus on long-term relationships

Building a long-term partnership with trusted providers like SSTech System Solutions can lead to consistent quality and better project outcomes.

Conclusion

To keep up with technology, outsourcing software development offers businesses solutions and support that can enable the creation of complex solutions out of mere ideas. Outsourcing has the benefits of minute overhead cost and is also a rich source of globally talented employees, and it offers the advantage of early time to market. Whether you’re looking for mobile app development outsourcing in Australia or seeking offshore software development in India or opting for AI outsourcing services, the potential is huge.

Such companies can only benefit from opting for reliable outsourcing companies such as SSTech System Outsourcing and embracing industry best practices to promote the success of business project implementations while enhancing market relevance. As technologies like AI and cloud computing are still changing the face of the outsourcing market, software development outsourcing will still be important for any company that wants to survive in a digital world.

Take the first step today—partner with global software development partners and unlock the full potential of your ideas with the power of outsourcing.

[coredgeblogs]

The Pros and Cons of YouTube Automation: What You Need to Know

Hey there, fellow content enthusiasts!

YouTube has become an integral part of almost everyone’s lives. Out of the 5.17 billion social media users worldwide, 52% access YouTube. As per February 2025 statistics, globally, there are more than 2.7 billion monthly active users. Here, we are talking about the world of YouTube automation. Understanding the mechanics of automating a YouTube channel can be a game-changer, irrespective of whether you're a professional, a seasoned creator, or just starting.

Let's break it down together!

What is YouTube Automation?

YouTube automation isn't about bots or artificial intelligence running your channel; instead, it refers to outsourcing the production and management of YouTube videos. It comprises tools and software to streamline various aspects of managing a YouTube channel. In this model, a team is hired to handle various tasks such as video editing, scripting, voiceovers, and thumbnail creation while you oversee the process. As the owner of the channel, you play a project manager’s role, ensuring content is regularly created and uploaded. This allows you to scale your channel without doing all the heavy lifting yourself. This may range from scheduling the uploads and optimization of video SEO, creating videos using AI, and even generating content ideas.

The goal? 

To increase efficiency, save time, and help your channel grow without burning out.

Benefits of YouTube Automation:

Time Efficiency

One of the biggest benefits of YouTube automation is the ability to save time instead of spending hours on scripting, recording, and editing videos. Imagine, that while you focus on creating stellar content, your assistant handles the nitty-gritty tasks. That's what automation offers! You free up valuable time to brainstorm and produce engaging videos by scheduling posts and managing uploads automatically.

Consistent Content Delivery

Consistency is the key to tasting success and it’s the same for YouTube as well. To keep the audience engaged and vying for more, automation ensures the content is published at optimal times. No more struggling to push the "publish" button!

Enhanced Analytics:

Automation tools, help in understanding the viewer’s behaviour and preferences by gaining access to in-depth analytics. These analytical approaches help in more strategic content planning.

Scalability

Looking to increase your channel's reach? With YouTube automation, scaling makes it much easier to manage multiple videos or even multiple channels, ensuring a stable flow of content without burning out. You're not limited by your individual capacity because you're outsourcing the work

Enhanced SEO:  

To rank the videos higher in search results, tools like TubeBuddy and VidIQ assist in keyword research, tag suggestions, and thumbnail optimization.

Creativity without burnout:

By outsourcing the tasks your brainy space is free to explore creative ideas without the constant pressure of doing everything yourself. This helps reduce burnout, which is common for solo YouTubers juggling multiple roles.

Potential Drawbacks:

While the benefits sound wonderful it's necessary to weigh them against the challenges. Let's discuss the potential downside of YouTube automation.

1.Loss of Personal Touch

Personal touch may go for a toss due to automated responses and scheduled posts. Over-reliance on automation might alienate your audience because viewers recognize genuine interaction.

2. High upfront costs -Starting an automated YouTube channel attracts an upfront cost that would be required to pay for team members like script writers, video editors and voiceover artists plus there are costs for tools too, like stock.

3.Risk of Spammy Content

Automation may lead to monotonous or low-quality content without careful supervision, which YouTube's algorithms may flag as spam. So, quality control remains indispensable.

4.Policy Violations

Adherence to YouTube’s terms of service is necessary to continue the channel. Some automation practices may potentially lead to channel suspension because of the violation of YouTube's terms of service. It's essential to stay informed of the platform policies to avoid unintentional breaches.

5.Fierce Competition- With numerous content creators, YouTube is saturated and standing out is a daunting task. Your channel could struggle to gain traction without opting for a unique angle or strong strategy to compete against thousands of others because automated channels usually focus on popular niches.

Popular Automation Tools:

Ready to explore some tools that can streamline your YouTube journey? Here are a few favourites:

TubeBuddy

An important browser extension that offers tag suggestions, keyword research, and bulk processing features to augment your channel's performance. Having TubeBuddy is like having a YouTube SEO expert murmuring in your ear as you create and optimize your videos.

Jasper

An AI-powered tool helps in maintaining a stable flow of content that assists in generating engaging video scripts and topic ideas.

SocialPilot

Suitable for managing and scheduling content across various platforms, ensuring consistent posting that augments audience engagement.

VidLQ- Primarily many SEO automation tools focus on keyword research and optimization, but vidIQ is different. It improves SEO, competitor analysis, and audience insights.

Zapier: Workflows are automated between YouTube and other apps by Zapier, like posting notifications to social media.

AIStudios: Uses AI for content creation, audience engagement, video editing, and audience engagement.

For YouTube creators, productivity is increased by these tools by streamlining tasks like video editing, SEO management, and audience engagement.

Best Practices for Use:

Here are some best practices to keep in place to make the most out of YouTube automation.

Balance Automation with Personal Rendezvous: For routine tasks, use automation tools to save time and streamline processes but personal interaction with your subscribers or live audience is very much essential through comments and regular sessions.

Review Regularly Automated Content: Always, keep a tab on your scheduled automated posts to ensure they remain relevant, high-quality, and align with your channel's goals and values.

Stay Informed on Policies: To ensure your automation practices remain compliant, keep yourself regularly updated on YouTube's terms of service.

Tailored Responses: While using automated replies, maintain a human touch while communicating to avoid sounding robotic.

To enhance efficiency and growth in YouTube’s strategy, integrating automation can be a powerful way.  However, it's crucial to maintain an equilibrium to keep the genuineness and personal connection that your audience cherishes.

Happy creating!

[datapeakbyfactr]

AI’s Role in Business Process Automation

Automation has come a long way from simply replacing manual tasks with machines. With AI stepping into the scene, business process automation is no longer just about cutting costs or speeding up workflows—it’s about making smarter, more adaptive decisions that continuously evolve. AI isn't just doing what we tell it; it’s learning, predicting, and innovating in ways that redefine how businesses operate. 

From hyperautomation to AI-powered chatbots and intelligent document processing, the world of automation is rapidly expanding. But what does the future hold?

What is Business Process Automation? 

Business Process Automation (BPA) refers to the use of technology to streamline and automate repetitive, rule-based tasks within an organization. The goal is to improve efficiency, reduce errors, cut costs, and free up human workers for higher-value activities. BPA covers a wide range of functions, from automating simple data entry tasks to orchestrating complex workflows across multiple departments. 

Traditional BPA solutions rely on predefined rules and scripts to automate tasks such as invoicing, payroll processing, customer service inquiries, and supply chain management. However, as businesses deal with increasing amounts of data and more complex decision-making requirements, AI is playing an increasingly critical role in enhancing BPA capabilities. 

AI’s Role in Business Process Automation 

AI is revolutionizing business process automation by introducing cognitive capabilities that allow systems to learn, adapt, and make intelligent decisions. Unlike traditional automation, which follows a strict set of rules, AI-driven BPA leverages machine learning, natural language processing (NLP), and computer vision to understand patterns, process unstructured data, and provide predictive insights. 

Here are some of the key ways AI is enhancing BPA: 

Self-Learning Systems: AI-powered BPA can analyze past workflows and optimize them dynamically without human intervention. 

Advanced Data Processing: AI-driven tools can extract information from documents, emails, and customer interactions, enabling businesses to process data faster and more accurately. 

Predictive Analytics: AI helps businesses forecast trends, detect anomalies, and make proactive decisions based on real-time insights. 

Enhanced Customer Interactions: AI-powered chatbots and virtual assistants provide 24/7 support, improving customer service efficiency and satisfaction. 

Automation of Complex Workflows: AI enables the automation of multi-step, decision-heavy processes, such as fraud detection, regulatory compliance, and personalized marketing campaigns. 

As organizations seek more efficient ways to handle increasing data volumes and complex processes, AI-driven BPA is becoming a strategic priority. The ability of AI to analyze patterns, predict outcomes, and make intelligent decisions is transforming industries such as finance, healthcare, retail, and manufacturing. 

“At the leading edge of automation, AI transforms routine workflows into smart, adaptive systems that think ahead. It’s not about merely accelerating tasks—it’s about creating an evolving framework that continuously optimizes operations for future challenges.”

— Emma Reynolds, CTO of QuantumOps

Trends in AI-Driven Business Process Automation 

1. Hyperautomation 

Hyperautomation, a term coined by Gartner, refers to the combination of AI, robotic process automation (RPA), and other advanced technologies to automate as many business processes as possible. By leveraging AI-powered bots and predictive analytics, companies can automate end-to-end processes, reducing operational costs and improving decision-making. 

Hyperautomation enables organizations to move beyond simple task automation to more complex workflows, incorporating AI-driven insights to optimize efficiency continuously. This trend is expected to accelerate as businesses adopt AI-first strategies to stay competitive. 

2. AI-Powered Chatbots and Virtual Assistants 

Chatbots and virtual assistants are becoming increasingly sophisticated, enabling seamless interactions with customers and employees. AI-driven conversational interfaces are revolutionizing customer service, HR operations, and IT support by providing real-time assistance, answering queries, and resolving issues without human intervention. 

The integration of AI with natural language processing (NLP) and sentiment analysis allows chatbots to understand context, emotions, and intent, providing more personalized responses. Future advancements in AI will enhance their capabilities, making them more intuitive and capable of handling complex tasks. 

3. Process Mining and AI-Driven Insights 

Process mining leverages AI to analyze business workflows, identify bottlenecks, and suggest improvements. By collecting data from enterprise systems, AI can provide actionable insights into process inefficiencies, allowing companies to optimize operations dynamically. 

AI-powered process mining tools help businesses understand workflow deviations, uncover hidden inefficiencies, and implement data-driven solutions. This trend is expected to grow as organizations seek more visibility and control over their automated processes. 

4. AI and Predictive Analytics for Decision-Making 

AI-driven predictive analytics plays a crucial role in business process automation by forecasting trends, detecting anomalies, and making data-backed decisions. Companies are increasingly using AI to analyze customer behaviour, market trends, and operational risks, enabling them to make proactive decisions. 

For example, in supply chain management, AI can predict demand fluctuations, optimize inventory levels, and prevent disruptions. In finance, AI-powered fraud detection systems analyze transaction patterns in real-time to prevent fraudulent activities. The future of BPA will heavily rely on AI-driven predictive capabilities to drive smarter business decisions. 

5. AI-Enabled Document Processing and Intelligent OCR 

Document-heavy industries such as legal, healthcare, and banking are benefiting from AI-powered Optical Character Recognition (OCR) and document processing solutions. AI can extract, classify, and process unstructured data from invoices, contracts, and forms, reducing manual effort and improving accuracy. 

Intelligent document processing (IDP) combines AI, machine learning, and NLP to understand the context of documents, automate data entry, and integrate with existing enterprise systems. As AI models continue to improve, document processing automation will become more accurate and efficient. 

Going Beyond Automation

The future of AI-driven BPA will go beyond automation—it will redefine how businesses function at their core. Here are some key predictions for the next decade: 

Autonomous Decision-Making: AI systems will move beyond assisting human decisions to making autonomous decisions in areas such as finance, supply chain logistics, and healthcare management. 

AI-Driven Creativity: AI will not just automate processes but also assist in creative and strategic business decisions, helping companies design products, create marketing strategies, and personalize customer experiences. 

Human-AI Collaboration: AI will become an integral part of the workforce, working alongside employees as an intelligent assistant, boosting productivity and innovation. 

Decentralized AI Systems: AI will become more distributed, with businesses using edge AI and blockchain-based automation to improve security, efficiency, and transparency in operations. 

Industry-Specific AI Solutions: We will see more tailored AI automation solutions designed for specific industries, such as AI-driven legal research tools, medical diagnostics automation, and AI-powered financial advisory services. 

AI is no longer a futuristic concept—it’s here, and it’s already transforming the way businesses operate. What’s exciting is that we’re still just scratching the surface. As AI continues to evolve, businesses will find new ways to automate, innovate, and create efficiencies that we can’t yet fully imagine. 

But while AI is streamlining processes and making work more efficient, it’s also reshaping what it means to be human in the workplace. As automation takes over repetitive tasks, employees will have more opportunities to focus on creativity, strategy, and problem-solving. The future of AI in business process automation isn’t just about doing things faster—it’s about rethinking how we work all together.

Learn more about DataPeak:

[atcuality1]

Secure and Scalable Cloud Server Management at Atcuality

For businesses seeking to enhance scalability and maintain top-tier security, Atcuality provides unparalleled cloud server management services. Our solutions cover all aspects of cloud server maintenance, including load balancing, patch management, data backups, and disaster recovery planning. Our experienced professionals work with cutting-edge tools to ensure that your servers are secure, efficient, and scalable to meet changing business needs. Whether you operate in e-commerce, finance, or technology, we tailor our services to align with your operational goals. With Atcuality as your trusted partner, you can focus on driving growth while we handle the technical complexities of cloud management.

[xlsdesignt]

what u think, to much colour, or less?

https://sdesignt.threadless.com/

[hackeocafe]

Top 5 Cloud Computing Skills for 2025 (Salaries Included)

In this video, he share the top 5 Cloud Computing Skills for 2025, and he included all the salaries for these skills as well as the Cloud Computing Jobs you can apply for.

[jcmarchi]

Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility – Interview Series

New Post has been published on https://thedigitalinsider.com/boaz-mizrachi-co-founder-and-cto-of-tactile-mobility-interview-series/

Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility – Interview Series

Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility. Boaz is a veteran technologist and entrepreneur, holding over three decades of experience in signal processing, algorithm research, and system design in the automotive and networking industries. He also brings hands-on leadership skills as the co-founder and Director of Engineering at Charlotte’s Web Networks, a world-leading developer and marketer of high-speed networking equipment (acquired by MRV Communications), and as System Design Group Manager at Zoran Microelectronics (acquired by CSR).

Tactile Mobility is a global leader in tactile data solutions, driving advancements in the mobility industry since 2012. With teams in the U.S., Germany, and Israel, the company specializes in combining signal processing, AI, big data, and embedded computing to enhance smart and autonomous vehicle systems. Its technology enables vehicles to “feel” the road in addition to “seeing” it, optimizing real-time driving decisions and creating accurate, crowd-sourced maps of road conditions. Through its VehicleDNA™ and SurfaceDNA™ solutions, Tactile Mobility serves automotive manufacturers, municipalities, fleet managers, and insurers, pioneering the integration of tactile sensing in modern mobility.

Can you tell us about your journey from co-founding Charlotte’s Web Networks to founding Tactile Mobility? What inspired you to move into the automotive tech space?

After co-founding Charlotte’s Web Networks, I transitioned into a role at Zoran Microsystems, where I served as a systems architect and later a systems group manager, focusing on designing ASICs and boards for home entertainment systems, set-top boxes, and more. Then, a conversation with a friend sparked a new path.

He posed a thought-provoking question about how to optimize vehicle performance driving from point A to point B with minimal fuel consumption, taking into account factors like the weather, road conditions, and the vehicle abilities. This led me to dive deep into the automotive space, founding Tactile Mobility to address these complexities. We started as an incubator-backed startup in Israel, ultimately growing into a company on a mission to give vehicles the ability to “feel” the road.

What were some of the initial challenges and breakthroughs you experienced when founding Tactile Mobility?

One of our major early challenges was generating real-time insights given the vehicle’s limited resources. Vehicles already had basic sensors, but cars lacked insights into essential parameters like current vehicle weight, tire health, and surface grip. We tackled this by implementing new software in the vehicle’s existing engine control unit (ECU), which allowed us to generate these insights through “virtual sensors” that connected to the current vehicle setup and didn’t require additional hardware.

However, using the ECU to get the insights we needed presented as many problems as answers. An ECU is a low-cost, small computer with very limited memory. This meant our software originally had to fit within 100 KB, an unusual restriction in today’s software world, especially with the added complexity of trying to integrate machine learning and neural networks. Creating these compact digital sensors that could fit in the ECU was a breakthrough that made us a pioneer in the field.

Tactile Mobility’s mission is ambitious—giving vehicles a “sense of touch.” Could you walk us through the vision behind this concept?

Our vision revolves around capturing and utilizing the data from vehicles’ onboard sensors to give them a sense of tactile awareness. This involves translating data from existing sensors to create “tactile pixels” that, much like visual pixels, can form a cohesive picture or “movie” of the vehicle’s tactile experience on the road. Imagine blind people sensing their surroundings based on touch – this is akin to how we want vehicles to feel the road, understanding its texture, grip, and potential hazards.

How do Tactile Mobility’s AI-powered vehicle sensors work to capture tactile data, and what are some of the unique insights they provide about both vehicles and roads?

Our software operates within the vehicle’s ECU, continuously capturing data from various hardware sensors like the wheel speed sensor, accelerometers, and the steering and brake systems. Ideally, there will also be tire sensors that can collect information about the road. This data is then processed to create real-time insights, or “virtual sensors,” that convey information about the vehicle’s load, grip, and even tire health.

For example, we can detect a slippery road or worn-out tires, which improves driver safety and vehicle performance. The system also enables adaptive functions like adjusting the distance in adaptive cruise control based on the current friction level or informing drivers that they need to allow more distance between their car and the cars in front of them.

Tactile Mobility’s solutions enable vehicles to “feel” road conditions in real-time. Could you explain how this tactile feedback works and what role AI and cloud computing play in this process?

The system continuously gathers and processes data from the vehicle’s hardware sensors, applying AI and machine learning to convert this data into conclusions that can influence the vehicle’s operations. This feedback loop informs the vehicle in real-time about road conditions – like friction levels on varying surfaces – and transmits these insights to the cloud. With data from millions of vehicles, we generate comprehensive maps of road surfaces that indicate hazards like slippery areas or oil spills to create a safer and more informed driving experience.

Could you describe how the VehicleDNA™ and SurfaceDNA™ technologies work and what sets them apart in the automotive industry?

VehicleDNA™ and SurfaceDNA™ represent two branches of our tactile “language.” SurfaceDNA™ focuses on the road surface, capturing attributes like friction, slope, and any hazards that arise through tire sensors and other external sensors. VehicleDNA™, on the other hand, models the specific characteristics of each vehicle in real time – weight, tire condition, suspension status, and more (known in the industry as “digital tween” of the chassis). Together, these technologies provide a clear understanding of the vehicle’s performance limits on any given road, enhancing safety and efficiency.

How does the onboard grip estimation technology work, and what impact has it had on autonomous driving and safety standards?

Grip estimation technology is crucial, especially for autonomous vehicles driving at high speeds. Traditional sensors can’t reliably gauge road grip, but our technology does. It assesses the friction coefficient between the vehicle and the road, which informs the vehicle’s limits in acceleration, braking, and cornering. This level of insight is essential for autonomous cars to meet existing safety standards, as it provides a real-time understanding of road conditions, even when they’re not visible, as is the case with black ice.

Tactile Mobility is actively working with partner OEMs like Porsche, and the municipalities as City of Detroit. Can you share more about these collaborations and how they have helped expand Tactile Mobility’s impact?

While I can’t disclose specific details about our collaborations, I can say that working with original equipment manufacturers (OEMs) and city municipalities has been a long but rewarding process.

In general, OEMs can harness our data to generate critical insights into vehicle performance across different terrains and weather conditions, which can inform enhancements in safety features, drive assist technologies, and vehicle design. Municipalities, on the other hand, can use aggregated data to monitor road conditions and traffic patterns in real-time, identifying areas that require immediate maintenance or pose safety risks, such as slick roads or potholes.

What do you believe are the next major challenges and opportunities for the automotive industry in the realm of AI and tactile sensing?

The challenge of achieving accuracy in autonomous vehicles is likely the most difficult. People are generally more forgiving of human error because it’s part of driving; if a driver makes a mistake, they’re aware of the risks involved. However, with autonomous technology, society demands much higher standards. Even a failure rate that’s much lower than human error could be unacceptable if it means a software bug might lead to a fatal accident.

This expectation creates a major challenge: AI in autonomous vehicles must not only match human performance but far surpass it, achieving extremely high levels of reliability, especially in complex or rare driving situations​. So we have to ensure that all of the sensors are accurate and are transmitting data in a timeframe that allows for a safe response window.

On top of that, cybersecurity is always a concern. Vehicles today are connected and increasingly integrated with cloud systems, making them potential targets for cyber threats. While the industry is progressing in its ability to combat threats, any breach could have severe consequences. Still, I believe that the industry is well-equipped to address this problem and to take measures to defend against new threats.

Privacy, too, is a hot topic, but it’s often misunderstood. We’ve seen a lot of stories in the news recently trying to claim that smart cars are spying on drivers and so on, but the reality is very different. In many ways, smart cars mirror the situation with smartphones. As consumers, we know our devices collect vast amounts of data about us, and this data is used to enhance our experience.

With vehicles, it’s similar. If we want to benefit from crowd-sourced driving information and the collective wisdom that can improve safety, individuals need to contribute data. However, Tactile Mobility and other companies are mindful of the need to handle this data responsibly, and we do put procedures in place to anonymize and protect personal information.

As for opportunities, we’re currently working on the development of new virtual sensors, one that can provide even deeper insights into vehicle performance and road conditions. These sensors, driven by both market needs and requests from OEMs, are tackling challenges like reducing costs and enhancing safety. As we innovate in this space, each new sensor brings vehicles one step closer to being more adaptable and safe in real-world conditions​.

Another significant opportunity is in the aggregation of data across thousands, if not millions, of vehicles. Over the years, as Tactile Mobility and other companies gradually install their software in more vehicles, this data provides a wealth of insights that can be used to create advanced “tactile maps.” These maps aren’t just visual like your current Google maps app but can include data points on road friction, surface type, and even hazards like oil spills or black ice. This form of “crowdsourced” mapping offers drivers real-time, hyper-localized insights into road conditions, creating safer roads for everyone and significantly enhancing navigation systems​.

Moreover, there’s an untapped realm of possibilities in integrating tactile sensing data more fully with cloud computing. While smartphones offer extensive data about users, they can’t access vehicle-specific insights. The data gathered directly from the vehicle’s hardware – what we call the VehicleDNA™ – gives a lot more information.

By leveraging this vehicle-specific data in the cloud, smart cars will be able to deliver an unprecedented level of precision in sensing and responding to its surroundings. This can lead to smarter cities and road networks as vehicles communicate with infrastructure and each other to share real-time insights, ultimately enabling a more connected, efficient, and safer mobility ecosystem.

Finally, what are your long-term goals for Tactile Mobility, and where do you see the company in the next five to ten years?

 Our aim is to continue embedding Tactile Mobility’s software in more OEMs globally, expanding our presence in vehicles connected to our cloud. We expect to continue offering some of the most precise and impactful insights in the automotive industry throughout the next decade.

Thank you for the great interview, readers who wish to learn more should visit Tactile Mobility.

[warakami-vaporwave]

BSOD v2 Clouds

[ogxfuturetech]

The Comprehensive Guide to Web Development, Data Management, and More 

Introduction 

Everything today is technology driven in this digital world. There's a lot happening behind the scenes when you use your favorite apps, go to websites, and do other things with all of those zeroes and ones — or binary data. In this blog, I will be explaining what all these terminologies really means and other basics of web development, data management etc. We will be discussing them in the simplest way so that this becomes easy to understand for beginners or people who are even remotely interested about technology.  JOIN US

What is Web Development? 

Web development refers to the work and process of developing a website or web application that can run in a web browser. From laying out individual web page designs before we ever start coding, to how the layout will be implemented through HTML/CSS. There are two major fields of web development — front-end and back-end. 

Front-End Development 

Front-end development, also known as client-side development, is the part of web development that deals with what users see and interact with on their screens. It involves using languages like HTML, CSS, and JavaScript to create the visual elements of a website, such as buttons, forms, and images. JOIN US

HTML (HyperText Markup Language): 

HTML is the foundation of all website, it helps one to organize their content on web platform. It provides the default style to basic elements such as headings, paragraphs and links. 

CSS (Cascading Style Sheets):  

styles and formats HTML elements. It makes an attractive and user-friendly look of webpage as it controls the colors, fonts, layout. 

JavaScript :  

A language for adding interactivity to a website Users interact with items, like clicking a button to send in a form or viewing images within the slideshow. JOIN US

Back-End Development 

The difference while front-end development is all about what the user sees, back end involves everything that happens behind. The back-end consists of a server, database and application logic that runs on the web. 

Server: 

A server is a computer that holds website files and provides them to the user browser when they request it. Server-Side: These are populated by back-end developers who build and maintain servers using languages like Python, PHP or Ruby. 

Database:  

The place where a website keeps its data, from user details to content and settings The database is maintained with services like MySQL, PostgreSQL, or MongoDB. JOIN US

Application Logic —  

the code that links front-end and back-end It takes user input, gets data from the database and returns right informations to front-end area. 

Why Proper Data Management is Absolutely Critical 

Data management — Besides web development this is the most important a part of our Digital World. What Is Data Management? It includes practices, policies and procedures that are used to collect store secure data in controlled way. 

Data Storage –  

data after being collected needs to be stored securely such data can be stored in relational databases or cloud storage solutions. The most important aspect here is that the data should never be accessed by an unauthorized source or breached. JOIN US

Data processing:  

Right from storing the data, with Big Data you further move on to process it in order to make sense out of hordes of raw information. This includes cleansing the data (removing errors or redundancies), finding patterns among it, and producing ideas that could be useful for decision-making. 

Data Security:  

Another important part of data management is the security of it. It refers to defending data against unauthorized access, breaches or other potential vulnerabilities. You can do this with some basic security methods, mostly encryption and access controls as well as regular auditing of your systems. 

Other Critical Tech Landmarks 

There are a lot of disciplines in the tech world that go beyond web development and data management. Here are a few of them: 

Cloud Computing 

Leading by example, AWS had established cloud computing as the on-demand delivery of IT resources and applications via web services/Internet over a decade considering all layers to make it easy from servers up to top most layer. This will enable organizations to consume technology resources in the form of pay-as-you-go model without having to purchase, own and feed that infrastructure. JOIN US

Cloud Computing Advantages:  

Main advantages are cost savings, scalability, flexibility and disaster recovery. Resources can be scaled based on usage, which means companies only pay for what they are using and have the data backed up in case of an emergency. 

Examples of Cloud Services: 

Few popular cloud services are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. These provide a plethora of services that helps to Develop and Manage App, Store Data etc. 

Cybersecurity 

As the world continues to rely more heavily on digital technologies, cybersecurity has never been a bigger issue. Protecting computer systems, networks and data from cyber attacks is called Cyber security. 

Phishing attacks, Malware, Ransomware and Data breaches: 

This is common cybersecurity threats. These threats can bear substantial ramifications, from financial damages to reputation harm for any corporation. 

Cybersecurity Best Practices:  

In order to safeguard against cybersecurity threats, it is necessary to follow best-practices including using strong passwords and two-factor authorization, updating software as required, training employees on security risks. 

Artificial Intelligence and Machine Learning 

Artificial Intelligence (AI) and Machine Learning (ML) represent the fastest-growing fields of creating systems that learn from data, identifying patterns in them. These are applied to several use-cases like self driving cars, personalization in Netflix. 

AI vs ML —  

AI is the broader concept of machines being able to carry out tasks in a way we would consider “smart”. Machine learning is a type of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. JOIN US

Applications of Artificial Intelligence and Machine Learning: some common applications include Image recognition, Speech to text, Natural language processing, Predictive analytics Robotics. 

Web Development meets Data Management etc. 

We need so many things like web development, data management and cloud computing plus cybersecurity etc.. but some of them are most important aspects i.e. AI/ML yet more fascinating is where these fields converge or play off each other. 

Web Development and Data Management 

Web Development and Data Management goes hand in hand. The large number of websites and web-based applications in the world generate enormous amounts of data — from user interactions, to transaction records. Being able to manage this data is key in providing a fantastic user experience and enabling you to make decisions based on the right kind of information. 

E.g. E-commerce Website, products data need to be saved on server also customers data should save in a database loosely coupled with orders and payments. This data is necessary for customization of the shopping experience as well as inventory management and fraud prevention. 

Cloud Computing and Web Development 

The development of the web has been revolutionized by cloud computing which gives developers a way to allocate, deploy and scale applications more or less without service friction. Developers now can host applications and data in cloud services instead of investing for physical servers. 

E.g. A start-up company can use cloud services to roll out the web application globally in order for all users worldwide could browse it without waiting due unavailability of geolocation prohibited access. 

The Future of Cybersecurity and Data Management 

Which makes Cybersecurity a very important part of the Data management. The more data collected and stored by an organization, the greater a target it becomes for cyber threats. It is important to secure this data using robust cybersecurity measures, so that sensitive information remains intact and customer trust does not weaken. JOIN US

Ex: A healthcare provider would have to protect patient data in order to be compliant with regulations such as HIPAA (Health Insurance Portability and Accountability Act) that is also responsible for ensuring a degree of confidentiality between a provider and their patients. 

Conclusion 

Well, in a nutshell web-developer or Data manager etc are some of the integral parts for digital world.

As a Business Owner, Tech Enthusiast or even if you are just planning to make your Career in tech — it is important that you understand these. With the progress of technology never slowing down, these intersections are perhaps only going to come together more strongly and develop into cornerstones that define how we live in a digital world tomorrow. 

With the fundamental knowledge of web development, data management, automation and ML you will manage to catch up with digital movements. Whether you have a site to build, ideas data to manage or simply interested in what’s hot these days, skills and knowledge around the above will stand good for changing tech world. JOIN US

[kookiesdayum]

I want to learn AWS from scratch, but I'm not familiar with it and unsure where to start. Can anyone recommend good resources for beginners? Looking for structured courses, tutorials, or hands-on labs that can help me build a strong foundation.

If you know any resources then plz let me know.

Thanks 🍬

[bigleapblog]

Your Guide to B.Tech in Computer Science & Engineering Colleges

In today's technology-driven world, pursuing a B.Tech in Computer Science and Engineering (CSE) has become a popular choice among students aspiring for a bright future. The demand for skilled professionals in areas like Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing has made computer science engineering colleges crucial in shaping tomorrow's innovators. Saraswati College of Engineering (SCOE), a leader in engineering education, provides students with a perfect platform to build a successful career in this evolving field.

Whether you're passionate about coding, software development, or the latest advancements in AI, pursuing a B.Tech in Computer Science and Engineering at SCOE can open doors to endless opportunities.

Why Choose B.Tech in Computer Science and Engineering?

Choosing a B.Tech in Computer Science and Engineering isn't just about learning to code; it's about mastering problem-solving, logical thinking, and the ability to work with cutting-edge technologies. The course offers a robust foundation that combines theoretical knowledge with practical skills, enabling students to excel in the tech industry.

At SCOE, the computer science engineering courses are designed to meet industry standards and keep up with the rapidly evolving tech landscape. With its AICTE Approved, NAAC Accredited With Grade-"A+" credentials, the college provides quality education in a nurturing environment. SCOE's curriculum goes beyond textbooks, focusing on hands-on learning through projects, labs, workshops, and internships. This approach ensures that students graduate not only with a degree but with the skills needed to thrive in their careers.

The Role of Computer Science Engineering Colleges in Career Development

The role of computer science engineering colleges like SCOE is not limited to classroom teaching. These institutions play a crucial role in shaping students' futures by providing the necessary infrastructure, faculty expertise, and placement opportunities. SCOE, established in 2004, is recognized as one of the top engineering colleges in Navi Mumbai. It boasts a strong placement record, with companies like Goldman Sachs, Cisco, and Microsoft offering lucrative job opportunities to its graduates.

The computer science engineering courses at SCOE are structured to provide a blend of technical and soft skills. From the basics of computer programming to advanced topics like Artificial Intelligence and Data Science, students at SCOE are trained to be industry-ready. The faculty at SCOE comprises experienced professionals who not only impart theoretical knowledge but also mentor students for real-world challenges.

Highlights of the B.Tech in Computer Science and Engineering Program at SCOE

Comprehensive Curriculum: The B.Tech in Computer Science and Engineering program at SCOE covers all major areas, including programming languages, algorithms, data structures, computer networks, operating systems, AI, and Machine Learning. This ensures that students receive a well-rounded education, preparing them for various roles in the tech industry.

Industry-Relevant Learning: SCOE’s focus is on creating professionals who can immediately contribute to the tech industry. The college regularly collaborates with industry leaders to update its curriculum, ensuring students learn the latest technologies and trends in computer science engineering.

State-of-the-Art Infrastructure: SCOE is equipped with modern laboratories, computer centers, and research facilities, providing students with the tools they need to gain practical experience. The institution’s infrastructure fosters innovation, helping students work on cutting-edge projects and ideas during their B.Tech in Computer Science and Engineering.

Practical Exposure: One of the key benefits of studying at SCOE is the emphasis on practical learning. Students participate in hands-on projects, internships, and industry visits, giving them real-world exposure to how technology is applied in various sectors.

Placement Support: SCOE has a dedicated placement cell that works tirelessly to ensure students secure internships and job offers from top companies. The B.Tech in Computer Science and Engineering program boasts a strong placement record, with top tech companies visiting the campus every year. The highest on-campus placement offer for the academic year 2022-23 was an impressive 22 LPA from Goldman Sachs, reflecting the college’s commitment to student success.

Personal Growth: Beyond academics, SCOE encourages students to participate in extracurricular activities, coding competitions, and tech fests. These activities enhance their learning experience, promote teamwork, and help students build a well-rounded personality that is essential in today’s competitive job market.

What Makes SCOE Stand Out?

With so many computer science engineering colleges to choose from, why should you consider SCOE for your B.Tech in Computer Science and Engineering? Here are a few factors that make SCOE a top choice for students:

Experienced Faculty: SCOE prides itself on having a team of highly qualified and experienced faculty members. The faculty’s approach to teaching is both theoretical and practical, ensuring students are equipped to tackle real-world challenges.

Strong Industry Connections: The college maintains strong relationships with leading tech companies, ensuring that students have access to internship opportunities and campus recruitment drives. This gives SCOE graduates a competitive edge in the job market.

Holistic Development: SCOE believes in the holistic development of students. In addition to academic learning, the college offers opportunities for personal growth through various student clubs, sports activities, and cultural events.

Supportive Learning Environment: SCOE provides a nurturing environment where students can focus on their academic and personal growth. The campus is equipped with modern facilities, including spacious classrooms, labs, a library, and a recreation center.

Career Opportunities After B.Tech in Computer Science and Engineering from SCOE

Graduates with a B.Tech in Computer Science and Engineering from SCOE are well-prepared to take on various roles in the tech industry. Some of the most common career paths for CSE graduates include:

Software Engineer: Developing software applications, web development, and mobile app development are some of the key responsibilities of software engineers. This role requires strong programming skills and a deep understanding of software design.

Data Scientist: With the rise of big data, data scientists are in high demand. CSE graduates with knowledge of data science can work on data analysis, machine learning models, and predictive analytics.

AI Engineer: Artificial Intelligence is revolutionizing various industries, and AI engineers are at the forefront of this change. SCOE’s curriculum includes AI and Machine Learning, preparing students for roles in this cutting-edge field.

System Administrator: Maintaining and managing computer systems and networks is a crucial role in any organization. CSE graduates can work as system administrators, ensuring the smooth functioning of IT infrastructure.

Cybersecurity Specialist: With the growing threat of cyberattacks, cybersecurity specialists are essential in protecting an organization’s digital assets. CSE graduates can pursue careers in cybersecurity, safeguarding sensitive information from hackers.

Conclusion: Why B.Tech in Computer Science and Engineering at SCOE is the Right Choice

Choosing the right college is crucial for a successful career in B.Tech in Computer Science and Engineering. Saraswati College of Engineering (SCOE) stands out as one of the best computer science engineering colleges in Navi Mumbai. With its industry-aligned curriculum, state-of-the-art infrastructure, and excellent placement record, SCOE offers students the perfect environment to build a successful career in computer science.

Whether you're interested in AI, data science, software development, or any other field in computer science, SCOE provides the knowledge, skills, and opportunities you need to succeed. With a strong focus on hands-on learning and personal growth, SCOE ensures that students graduate not only as engineers but as professionals ready to take on the challenges of the tech world.

If you're ready to embark on an exciting journey in the world of technology, consider pursuing your B.Tech in Computer Science and Engineering at SCOE—a college where your future takes shape.