#Google Cloud Platform Development

[atcuality1]

Redefine Customer Engagement with AI-Powered Application Solutions

In today’s digital landscape, customer engagement is more crucial than ever. ATCuality’s AI powered application redefine how businesses interact with their audience, creating personalized experiences that foster loyalty and drive satisfaction. Our applications utilize cutting-edge AI algorithms to analyze customer behavior, preferences, and trends, enabling your business to anticipate needs and respond proactively. Whether you're in e-commerce, finance, or customer service, our AI-powered applications can optimize your customer journey, automate responses, and provide insights that lead to improved service delivery. ATCuality’s commitment to innovation ensures that each AI-powered application is adaptable, scalable, and perfectly aligned with your brand’s voice, keeping your customers engaged and coming back for more.

[marrywillson]

Integrate AI into your mobile app to enhance user experience, improve efficiency, and drive business growth. Adding artificial intelligence (AI) to your app can lead to improved user experiences, streamlined operations, and data-driven decision-making.

[shilshatech]

https://theomnibuzz.com/understanding-google-cloud-platform-development-services/

Discover the benefits of Google Cloud Platform Development Services for your business. Learn how Shilsha Technologies excels in providing top-tier Google Cloud solutions for websites and mobile apps.

[chipsytechblog]

Chipsy.io Backend Development: Unleashing the Power of Modern Technology

In the fast-evolving world of technology, businesses need robust, scalable, and secure backend systems to support their digital transformation. At Chipsy.io, we specialize in backend development, harnessing the power of cutting-edge technologies to build systems that drive your business forward.

Key Technologies

AWS: Leveraging Amazon Web Services (AWS), we provide scalable and flexible solutions that meet the demands of your business. From EC2 instances to Lambda functions, our expertise ensures your applications run smoothly and efficiently.

Azure: With Microsoft Azure, we deliver enterprise-grade solutions that integrate seamlessly with your existing infrastructure. Our services include everything from Azure App Services to Azure Functions, enabling rapid development and deployment.

Google Cloud Platform (GCP): Utilizing the power of GCP, we build highly scalable and resilient backend systems. Our capabilities include using Google Kubernetes Engine (GKE) for container orchestration and BigQuery for real-time analytics.

Best Practices

At Chipsy.io, we adhere to industry best practices to ensure the quality and reliability of our backend systems:

Microservices Architecture: We design our systems using a microservices architecture, allowing for independent development, deployment, and scaling of each service.

Continuous Integration/Continuous Deployment (CI/CD): Our CI/CD pipelines automate the testing and deployment process, ensuring rapid and reliable releases.

Security: We implement robust security measures, including data encryption, secure APIs, and regular security audits, to protect your sensitive information.

Monitoring and Logging: Our systems include comprehensive monitoring and logging solutions, providing real-time insights and facilitating quick issue resolution.

Future Trends

We stay ahead of the curve by continuously exploring emerging trends and technologies:

Serverless Computing: Our expertise in serverless architectures allows for building highly scalable applications without the need for server management.

Artificial Intelligence and Machine Learning: We integrate AI and ML capabilities into backend systems to provide advanced analytics and automation.

Edge Computing: By processing data closer to the source, we reduce latency and improve performance, especially for IoT applications.

Why Choose Chipsy.io?

Partnering with Chipsy.io for your backend development needs means gaining access to a team of experts dedicated to delivering high-quality, future-proof solutions. Our commitment to excellence and innovation ensures your business stays competitive in a digital-first world.

Ready to transform your backend systems? Contact Chipsy.io today and let us help you unleash the power of modern technology.

[sonetra-keth]

NAVIGATING PROJECT MANAGEMENT IN THE AEC INDUSTRY

Navigating Project Management in the AEC industry involves a series of interconnected tasks that require effective planning, execution, monitoring, and control. By following best practices and leveraging project management methodologies such as APM, SCRUM, KANBAN, or the Traditional WATERFALL Project Management Methodology, the AEC professionals can successfully deliver complex projects while meeting stakeholder expectations and achieving project objectives.

As an architectural manager with a Master of Architecture degree and an architectural engineering degree from reputable institutes, having experience in project and design management for large-scale commercial facilities, multi-story offices, and high-rise administration buildings, I can provide the necessary artifacts to enhance project success, improve team collaboration, and effectively handle project complexities in the architecture, engineering, and construction (AEC) sector.

1. Set Clear Goals and Objectives:

Define project scope, including deliverables and constraints.

Establish SMART (Specific, Measurable, Achievable, Relevant, Time-bound) goals.

Align goals with stakeholder expectations and project requirements.

Obtain buy-in from key stakeholders on project objectives.

2. Develop a Comprehensive Project Plan:

Create a detailed work breakdown structure (WBS) to organize project tasks.

Define project milestones and dependencies.

Develop a project schedule with timelines and resource allocation.

Identify risks and develop a risk management plan.

Establish a budget and financial plan for the project.

3. Foster Effective Communication:

Establish communication channels and protocols for project team members.

Hold regular project meetings to discuss progress, issues, and updates.

Use clear and concise language in all communications.

Encourage open and transparent communication among team members.

Address communication barriers and conflicts promptly.

4. Embrace Technology and Communication:

Utilize project management software for task tracking and collaboration.

Implement communication tools such as emails, instant messaging, and video conferencing.

Leverage cloud-based platforms for document sharing and version control.

Provide training and support for team members on project management tools.

Stay updated on new technologies and tools to improve project efficiency.

5. Manage Change Effectively:

Establish a change control process to evaluate and approve changes to project scope.

Communicate changes to stakeholders and assess their impact on project objectives.

Update project documentation and plans to reflect approved changes.

Monitor changes to prevent scope creep and ensure project alignment with goals.

Evaluate the risks and benefits of proposed changes before implementation.

6. Foster Collaboration and Teamwork:

Encourage team members to share ideas, feedback, and best practices.

Foster a collaborative work environment that values diversity and inclusivity.

Promote team building activities and recognize team achievements.

Facilitate cross-functional collaboration and knowledge sharing.

Resolve conflicts and promote a positive team culture.

7. Continuously Monitor and Evaluate Progress:

Track project performance against key performance indicators (KPIs).

Conduct regular project reviews to assess progress and identify areas for improvement.

Monitor project risks and issues and take corrective actions as needed.

Evaluate project outcomes against initial goals and objectives.

Use lessons learned to make informed decisions and optimize project performance.

By focusing on these subtasks within each point, project managers can enhance project success, improve team collaboration, and effectively manage project complexities in the Architecture, Engineering, and Construction (AEC) industry.

Sonetra KETH (កេត សុនេត្រា) Architectural Manager, Project Manager, BIM Director 建築師經理, 專案經理, BIM總監 Giám đốc kiến ​​trúc, Giám đốc dựán, Giám đốc BIM RMIT University Vietnam + Institute of Technology of Cambodia

[nitor-infotech]

Cloud & Devops Services | Nitor Infotech

In today's fast-paced digital landscape, cloud technology has emerged as a transformative force that empowers organizations to innovate, scale and adapt like never before. To know more about Nitor Infotech's services click on - https://bitly.ws/Zyt3

[gmatechnologi]

Getting Started With Cloud Computing : AWS, Azure, and Google Cloud Platform

Are you ready to soar high in the ever-evolving realm of cloud computing? 🌥️✨ Look no further, as we embark on an exciting journey into three of the most prominent players in this field: AWS, Azure, and Google Cloud Platform. Whether you’re a tech enthusiast seeking to expand your knowledge or a business owner considering leveraging the power of these platforms,

this blog post is your ultimate guide to successfully navigate through the clouds and kickstart your cloud computing adventure! Let’s buckle up and explore how these giants can propel us towards innovation and efficiency like never before. 💻🚀

Introduction To Cloud Computing

If you’re new to the world of cloud computing, you might be wondering what all the hype is about. Cloud computing is a way to use technology to make it easier for businesses to work together and share resources over the internet. It’s a way of working that’s becoming more and more popular, as it offers a number of advantages over traditional methods of working.

In this section, we’ll introduce you to the basics of cloud computing, so you can decide if it’s right for your business. We’ll start by explaining what cloud computing is, before moving on to look at the different types of cloud services that are available. We’ll also explore some of the benefits of using cloud services, so you can see why they’re become such a popular choice for businesses.

Overview Of The Different Cloud Platforms (AWS, Azure, And Google Cloud Platform)

There are three major cloud providers in the market today: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Each provider has its own strengths and weaknesses, so it’s important to understand the different offerings before deciding which one is right for your needs.

AWS is the most popular cloud platform on the market, with a lead of nearly 50% over its closest competitor, Azure. AWS offers a comprehensive set of services and features, making it a good choice for businesses that want a one-stop shop for all their cloud needs. However, AWS can be more expensive than other options, so it’s important to compare pricing before committing to a platform.

Azure is a close second to AWS in terms of market share, and it offers many of the same features as AWS. Azure is a good choice for businesses that want access to Microsoft’s extensive ecosystem of products and services. However, Azure can be more difficult to use than other options, so it’s important to consider your team’s expertise before choosing this platform.

GCP is the third major cloud platform on the market, but it lags behind AWS and Azure in terms of market share. GCP is a good choice for businesses that want access to Google’s extensive ecosystem of products and services. However, GCP can be more expensive than other options, so it’s important to compare pricing before committing to a platform.

The Benefits Of Using Each Platform

Cloud computing platforms offer many benefits, including the ability to scale elastically, pay for only what you use, and enjoy increased collaboration and productivity. Each platform has its own unique benefits that can help your business achieve its goals.

AWS provides a comprehensive set of cloud computing services that are easy to use and scalable. AWS offers a pay-as-you-go pricing model that allows you to only pay for the resources you use. AWS also offers a wide range of services, including storage, computing, networking, and database.

Azure is a cloud computing platform that offers both Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Azure offers a variety of services, including storage, databases, networking, and compute. Azure also offers an extensive worldwide network with high availability and security.

Google Cloud Platform (GCP) is a cloud computing platform that offers both IaaS and PaaS. GCP offers a variety of services, including storage, databases, networking, and compute. GCP also has an extensive global network with high availability.

Comparing AWS, Azure, And GCP

There are three major cloud service providers (CSPs) today: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Each has its own strengths and weaknesses, so it’s important to understand the differences before choosing a provider.

AWS is the most comprehensive and widely adopted cloud platform, offering more than 175 services including compute, storage, database, networking, analytics, artificial intelligence (AI), and Internet of Things (IoT). AWS is also the most mature of the three CSPs, with the largest number of customers and the broadest range of services.

Azure is a close second to AWS in terms of market share and capabilities. Azure offers 170+ services including compute, storage, database, networking, analytics, AI, and IoT. One key difference between Azure and AWS is that Azure includes first-party managed services from Microsoft—such as Office 365—whereas AWS does not offer any first-party managed services.

GCP is the smallest of the three major CSPs but is growing rapidly. GCP offers more than 160 products including compute, storage, database, networking , analytics, AI, and IoT. GCP’s competitive advantages include tighter integration with big data (it powers Google Search) and advanced machine learning (ML) tools.

When comparing the three CSPs, consider your specific needs for compute, storage, networking, AI/ML, and other services. All three offer comparable pricing based on pay-as-you-go models, though AWS has more options for upfront payment discounts. Ultimately the best choice depends on which platform best meets your specific requirements.

Choosing The Best Platform For Your Needs

When it comes to cloud computing, there are three major platforms to choose from: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Each platform has its own strengths and weaknesses, so it’s important to choose the one that best fits your needs.

AWS is the most popular cloud platform, and for good reason. It’s feature-rich and scalable, making it a good choice for businesses of all sizes. However, it can be expensive, and some find its interface confusing.

Azure is a close second to AWS in terms of popularity. It’s a bit cheaper than AWS and offers many of the same features. However, Azure can be difficult to learn and use, which may not make it the best choice for small businesses or those new to cloud computing.

GCP is the third major player in the cloud computing space. It’s not as widely used as AWS or Azure, but it has its fans. GCP is known for being easy to use and having excellent customer support. However, it doesn’t offer as many features as the other two platforms.

So, which platform should you choose? It depends on your needs. If you’re looking for a powerful and feature-rich platform that can handle anything you throw at it, AWS is a good choice. If you want a cheaper option that’s still pretty good, go with Azure. And if you’re new to cloud computing and just want something that ‘s easy to use, GCP is your best bet. No matter what platform you choose, make sure you take the time to evaluate your needs and research each option before making a decision. That way, you’ll be sure that you select the best platform for your business.

Setting Up Your Account And Getting Started

Assuming you’ve never used cloud computing before, this guide will walk you through the basics of setting up an account and getting started with the three major providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Creating an account with a cloud provider is similar to signing up for any other online service. You’ll need to provide some basic information about yourself and your organization, including a credit card or bank account so that the provider can bill you for services used. Some providers may also require you to verify your identity by providing a government-issued ID.

Once you’ve created an account, you can start using cloud services immediately. Most providers offer a free trial period with some limited services so that you can explore what they have to offer without incurring any charges. After the free trial period ends, you’ll be billed according to the plan you choose. The three providers all offer different pricing models, so be sure to review each one carefully before selecting a plan.

AWS, Azure, and GCP all offer a wide range of services, so it can be helpful to consult their documentation or talk to someone who’s familiar with them before getting started. That way, you can better understand what each service does and how it might be useful for your needs. Once you have a general understanding of the capabilities of each platform, you can begin experimenting with the various services to see how they fit into your workflow.

No matter which provider you choose, cloud computing can provide a great way to increase the scalability and reliability of your applications. With the right plan and an understanding of how the different services work together, you can get up and running in no time.

Common Mistakes When Moving To A Cloud Infrastructure

There are many potential pitfalls when moving to a cloud infrastructure. Here are some of the most common mistakes:

Failing to properly assess workloads: One of the most common mistakes is failing to properly assess which workloads are best suited for the cloud. Not all workloads are created equal, and some are more resource intensive than others. Make sure you have a good understanding of your workloads before making the switch to the cloud.

Not taking advantage of autoscaling: Autoscaling is one of the key benefits of a cloud infrastructure. Don’t make the mistake of not taking advantage of this feature – it can help you save a lot of money in the long run.

Underestimating data security needs: Another common mistake is underestimating the importance of data security. When you move to the cloud, you lose some control over your data security. Make sure you have a strong security plan in place before making the switch.

Failing to properly plan for costs: One of the biggest mistakes companies make when moving to a cloud infrastructure is failing to properly plan for costs. Cloud computing can be very cost-effective, but only if you know how to use it effectively. Make sure you have a clear understanding of your company’s needs and budget before making the switch. Not researching the right vendor: Do your research when choosing a cloud vendor. You want to find one that has experience and offers quality services at a reasonable price. Taking shortcuts here can lead to costly mistakes in the long run.

Security Considerations For Cloud Computing

Security is a top concern when moving to the cloud. By its very nature, cloud computing means entrusting your data to a third party. However, there are steps you can take to ensure your data is secure in the cloud.

When choosing a cloud provider, be sure to do your research and select a reputable company with a strong security track record. Once you’ve selected a provider, make sure you’re taking advantage of all the security features they offer. For example, most providers offer data encryption and access control measures that you can use to further secure your data.

Always remember that security is a shared responsibility between you and your cloud provider. Be sure to keep your own systems up-to-date and secure, and never hesitate to contact your provider if you have any questions or concerns about their security measures.

Conclusion

Cloud computing is a rapidly growing technology and can provide an organization with incredible advantages. The three biggest providers- AWS, Azure, and Google Cloud Platform- all have excellent features that make them attractive choices for cloud deployment.

Knowing the key differences between these providers and how to get started is essential in order to determine which one best meets your needs. With a bit of research and planning, you should be able to quickly find the right cloud solution for your specific business scenarios.

[izicodes]

Hello! Do you have any advice on getting into freelance coding or remote jobs in the field? I'm having trouble with my current endeavors of applications and my current customer service job isn't doing me well enough to want to stay, so I'm hoping for progress sooner rather than later. Anything helps, thank you!!

Hiya 🖤

Thanks for reaching out with your question about getting into freelance coding or remote jobs. Making a transition can be challenging, but with dedication and strategic steps, you can definitely progress in your career.

Firstly, consider specializing in a specific field of computer science rather than trying to learn everything. This will help you become an expert in a niche, making you more attractive to potential clients or employers.

The big thing to look at is (1) what specific job do you want? Don't know yet? That's the first thing you need to find out. (2) Found the job you want? Go to this website "roadmap.sh" and click the job title you want and look at the roadmap to become it. (3) Have an idea of what you need to learn? Now study :)

Here are some extra key pieces of advice:

Public Code Repositories

Showcase your coding skills by contributing to public repositories on platforms like GitHub, GitLab, or others. This allows potential employers to see your projects and assess your coding abilities.

Online Certifications

Earn certifications from reputable online courses like Freecodecamp, Codecademy, or SheCodes (if you're a woman). Displaying these certifications on your LinkedIn profile adds credibility for remote work or even freelance work because then clients will trust your skills more if it's back up with evidence (projects and/or certificates).

Links: "Massive List of Thousands of Free Certificates" / "The Udemy courses I use" / "FreeCodeCamp" / "Codecedemy" / "SheCodes" / "Udacity" / "Coursera" / "Google"

LinkedIn Profile

Revamp your LinkedIn profile to reflect your job title. Use a title that aligns with your dream job, and highlight your skills, certifications, and projects. You don't even need work experience OR do what a lot of my developer mates do have no work experience and set your "job" as a self-employed freelance developer... little cheat there~!

Links: "LinkedIn Career Explorer" / "Tips for speaking to/reaching out to Recruiter" / "Tips for Landing Your First Entry-Level Developer Job" / "Career Services for Web Development" / "The Talent Cloud Community: Careers Workshop"

Volunteering

Help someone out with a project for their business or whatever. For example, I helped a guy I met in a programming discord server build his portfolio page for free, but I care more about the experience. Search online for volunteer jobs with your dream job title e.g. Volunteer App Develope, but in your country would be better. The experience you can you can add to your LinkedIn. the project you work on you can add to your resume/experience.

Link: "SkilledUp Life"

Networking

Connect with professionals in your field on LinkedIn, even if you don't know them personally. Growing your network can open up opportunities and expose you to valuable insights. Events in person or online, servers (I found volunteer opportunities here), forums, Twitter (I found some mates on there), Instagram (another place I found developer friends). Networking can even help with building group projects~!

Link: "Tips for speaking to/reaching out to Recruiter"

Project Building

Work on both small and big projects to demonstrate your capabilities. Highlight these projects on your resume and portfolio.

Links: "Building projects after learning a new concept advice" / "Tips from learning using multiple resources" / "Tips on learning programming with ChatGPT" / "Harvard University Free IT Courses" / "The Udemy courses I use" / "Free Programming Books" / "Coding Advice for beginners" / "800 free Computer Science classes"

Online Presence

Share your learning progress and projects on various platforms like Tumblr, Twitter, Instagram, LinkedIn, or YouTube. Employers often appreciate candidates who actively showcase their work and commitment to learning. I made a post for Tumblr coding blogs:

Link: "Codeblr Blog Advice: 8 Blog Coding Post Ideas"

Good luck!!

[atcuality1]

Unlocking Potential Through Immersive VR-Based Training Solutions

Atcuality is dedicated to unlocking human potential through VR-based training solutions that push the boundaries of traditional learning methods. In industries where hands-on experience is crucial, VR allows trainees to engage in realistic scenarios without leaving the training room. Our VR-based training solutions are designed to provide the kind of experiential learning that helps individuals not just understand but deeply internalize crucial skills. From medical procedures to machinery operation, these immersive training environments offer flexibility and safety, removing the limitations of traditional learning setups. By simulating high-risk or complex tasks, learners can gain valuable experience while mitigating actual risks. With Atcuality’s VR training, companies can ensure their workforce is prepared for real-world challenges, resulting in enhanced safety, improved skill levels, and reduced onboarding and training costs. Our commitment to advancing training standards is evident in our ability to offer highly customizable, impactful VR experiences across various industries.

[manorinthewoods]

"Welcome to the AI trough of disillusionment"

"When the chief executive of a large tech firm based in San Francisco shares a drink with the bosses of his Fortune 500 clients, he often hears a similar message. “They’re frustrated and disappointed. They say: ‘I don’t know why it’s taking so long. I’ve spent money on this. It’s not happening’”.

"For many companies, excitement over the promise of generative artificial intelligence (AI) has given way to vexation over the difficulty of making productive use of the technology. According to S&P Global, a data provider, the share of companies abandoning most of their generative-AI pilot projects has risen to 42%, up from 17% last year. The boss of Klarna, a Swedish buy-now, pay-later provider, recently admitted that he went too far in using the technology to slash customer-service jobs, and is now rehiring humans for the roles."

"Consumers, for their part, continue to enthusiastically embrace generative AI. [Really?] Sam Altman, the boss of OpenAI, recently said that its ChatGPT bot was being used by some 800m people a week, twice as many as in February. Some already regularly turn to the technology at work. Yet generative AI’s ["]transformative potential["] will be realised only if a broad swathe of companies systematically embed it into their products and operations. Faced with sluggish progress, many bosses are sliding into the “trough of disillusionment”, says John Lovelock of Gartner, referring to the stage in the consultancy’s famed “hype cycle” that comes after the euphoria generated by a new technology.

"This poses a problem for the so-called hyperscalers—Alphabet, Amazon, Microsoft and Meta—that are still pouring vast sums into building the infrastructure underpinning AI. According to Pierre Ferragu of New Street Research, their combined capital expenditures are on course to rise from 12% of revenues a decade ago to 28% this year. Will they be able to generate healthy enough returns to justify the splurge? [I'd guess not.]

"Companies are struggling to make use of generative AI for many reasons. Their data troves are often siloed and trapped in archaic it systems. Many experience difficulties hiring the technical talent needed. And however much potential they see in the technology, bosses know they have brands to protect, which means minimising the risk that a bot will make a damaging mistake or expose them to privacy violations or data breaches.

"Meanwhile, the tech giants continue to preach AI’s potential. [Of course.] Their evangelism was on full display this week during the annual developer conferences of Microsoft and Alphabet’s Google. Satya Nadella and Sundar Pichai, their respective bosses, talked excitedly about a “platform shift” and the emergence of an “agentic web” populated by semi-autonomous AI agents interacting with one another on behalf of their human masters. [Jesus christ. Why? Who benefits from that? Why would anyone want that? What's the point of using the Internet if it's all just AIs pretending to be people? Goddamn billionaires.]

"The two tech bosses highlighted how AI models are getting better, faster, cheaper and more widely available. At one point Elon Musk announced to Microsoft’s crowd via video link that xAI, his AI lab, would be making its Grok models available on the tech giant’s Azure cloud service (shortly after Mr Altman, his nemesis, used the same medium to tout the benefits of OpenAI’s deep relationship with Microsoft). [Nobody wanted Microsoft to pivot to the cloud.] Messrs Nadella and Pichai both talked up a new measure—the number of tokens processed in generative-AI models���to demonstrate booming usage. [So now they're fiddling with the numbers to make them look better.

"Fuddy-duddy measures of business success, such as sales or profit, were not in focus. For now, the meagre cloud revenues Alphabet, Amazon and Microsoft are making from AI, relative to the magnitude of their investments, come mostly from AI labs and startups, some of which are bankrolled by the giants themselves.

"Still, as Mr Lovelock of Gartner argues, much of the benefit of the technology for the hyperscalers will come from applying it to their own products and operations. At its event, Google announced that it will launch a more conversational “AI mode” for its search engine, powered by its Gemini models. It says that the AI summaries that now appear alongside its search results are already used by more than 1.5bn people each month. [I'd imagine this is giving a generous definition of 'used'. The AI overviews spawn on basically every search - that doesn't mean everyone's using them. Although, probably, a lot of people are.] Google has also introduced generative AI into its ad business [so now the ads are even less appealing], to help companies create content and manage their campaigns. Meta, which does not sell cloud computing, has weaved the technology into its ad business using its open-source Llama models. Microsoft has embedded AI into its suite of workplace apps and its coding platform, Github. Amazon has applied the technology in its e-commerce business to improve product recommendations and optimise logistics. AI may also allow the tech giants to cut programming jobs. This month Microsoft laid off 6,000 workers, many of whom were reportedly software engineers. [That's going to come back to bite you. The logistics is a valid application, but not the whole 'replacing programmers with AI' bit. Better get ready for the bugs!]

"These efforts, if successful, may even encourage other companies to keep experimenting with the technology until they, too, can make it work. Troughs, after all, have two sides; next in Gartner’s cycle comes the “slope of enlightenment”, which sounds much more enjoyable. At that point, companies that have underinvested in AI may come to regret it. [I doubt it.] The cost of falling behind is already clear at Apple, which was slower than its fellow tech giants to embrace generative AI. It has flubbed the introduction of a souped-up version of its voice assistant Siri, rebuilt around the technology. The new bot is so bug-ridden its rollout has been postponed.

"Mr Lovelock’s bet is that the trough will last until the end of next year. In the meantime, the hyperscalers have work to do. Kevin Scott, Microsoft’s chief technology officer, said this week that for AI agents to live up to their promise, serious work needs to be done on memory, so that they can recall past interactions. The web also needs new protocols to help agents gain access to various data streams. [What an ominous way to phrase that.] Microsoft has now signed up to an open-source one called Model Context Protocol, launched in November by Anthropic, another AI lab, joining Amazon, Google and OpenAI.

"Many companies say that what they need most is not cleverer AI models, but more ways to make the technology useful. Mr Scott calls this the “capability overhang.” He and Anthropic’s co-founder Dario Amodei used the Microsoft conference to urge users to think big and keep the faith. [Yeah, because there's no actual proof this helps. Except in medicine and science.] “Don’t look away,” said Mr Amodei. “Don’t blink.” ■"

[shilshatech]

Discover top Google Cloud Platform Development Services at Shilsha Technologies. We offer secure, scalable solutions tailored to your needs. Hire expert developers in India for innovative cloud solutions. Contact us today to leverage the full potential of GCP for your business growth.

[agileseen24]

"From Passion to Profession: Steps to Enter the Tech Industry"

How to Break into the Tech World: Your Comprehensive Guide

In today’s fast-paced digital landscape, the tech industry is thriving and full of opportunities. Whether you’re a student, a career changer, or someone passionate about technology, you may be wondering, “How do I get into the tech world?” This guide will provide you with actionable steps, resources, and insights to help you successfully navigate your journey.

Understanding the Tech Landscape

Before you start, it's essential to understand the various sectors within the tech industry. Key areas include:

Software Development: Designing and building applications and systems.

Data Science: Analyzing data to support decision-making.

Cybersecurity: Safeguarding systems and networks from digital threats.

Product Management: Overseeing the development and delivery of tech products.

User Experience (UX) Design: Focusing on the usability and overall experience of tech products.

Identifying your interests will help you choose the right path.

Step 1: Assess Your Interests and Skills

Begin your journey by evaluating your interests and existing skills. Consider the following questions:

What areas of technology excite me the most?

Do I prefer coding, data analysis, design, or project management?

What transferable skills do I already possess?

This self-assessment will help clarify your direction in the tech field.

Step 2: Gain Relevant Education and Skills

Formal Education

While a degree isn’t always necessary, it can be beneficial, especially for roles in software engineering or data science. Options include:

Computer Science Degree: Provides a strong foundation in programming and system design.

Coding Bootcamps: Intensive programs that teach practical skills quickly.

Online Courses: Platforms like Coursera, edX, and Udacity offer courses in various tech fields.

Self-Learning and Online Resources

The tech industry evolves rapidly, making self-learning crucial. Explore resources like:

FreeCodeCamp: Offers free coding tutorials and projects.

Kaggle: A platform for data science practice and competitions.

YouTube: Channels dedicated to tutorials on coding, design, and more.

Certifications

Certifications can enhance your credentials. Consider options like:

AWS Certified Solutions Architect: Valuable for cloud computing roles.

Certified Information Systems Security Professional (CISSP): Great for cybersecurity.

Google Analytics Certification: Useful for data-driven positions.

Step 3: Build a Portfolio

A strong portfolio showcases your skills and projects. Here’s how to create one:

For Developers

GitHub: Share your code and contributions to open-source projects.

Personal Website: Create a site to display your projects, skills, and resume.

For Designers

Design Portfolio: Use platforms like Behance or Dribbble to showcase your work.

Case Studies: Document your design process and outcomes.

For Data Professionals

Data Projects: Analyze public datasets and share your findings.

Blogging: Write about your data analysis and insights on a personal blog.

Step 4: Network in the Tech Community

Networking is vital for success in tech. Here are some strategies:

Attend Meetups and Conferences

Search for local tech meetups or conferences. Websites like Meetup.com and Eventbrite can help you find relevant events, providing opportunities to meet professionals and learn from experts.

Join Online Communities

Engage in online forums and communities. Use platforms like:

LinkedIn: Connect with industry professionals and share insights.

Twitter: Follow tech influencers and participate in discussions.

Reddit: Subreddits like r/learnprogramming and r/datascience offer valuable advice and support.

Seek Mentorship

Finding a mentor can greatly benefit your journey. Reach out to experienced professionals in your field and ask for guidance.

Step 5: Gain Practical Experience

Hands-on experience is often more valuable than formal education. Here’s how to gain it:

Internships

Apply for internships, even if they are unpaid. They offer exposure to real-world projects and networking opportunities.

Freelancing

Consider freelancing to build your portfolio and gain experience. Platforms like Upwork and Fiverr can connect you with clients.

Contribute to Open Source

Engaging in open-source projects can enhance your skills and visibility. Many projects on GitHub are looking for contributors.

Step 6: Prepare for Job Applications

Crafting Your Resume

Tailor your resume to highlight relevant skills and experiences. Align it with the job description for each application.

Writing a Cover Letter

A compelling cover letter can set you apart. Highlight your passion for technology and what you can contribute.

Practice Interviewing

Prepare for technical interviews by practicing coding challenges on platforms like LeetCode or HackerRank. For non-technical roles, rehearse common behavioral questions.

Step 7: Stay Updated and Keep Learning

The tech world is ever-evolving, making it crucial to stay current. Subscribe to industry newsletters, follow tech blogs, and continue learning through online courses.

Follow Industry Trends

Stay informed about emerging technologies and trends in your field. Resources like TechCrunch, Wired, and industry-specific blogs can provide valuable insights.

Continuous Learning

Dedicate time each week for learning. Whether through new courses, reading, or personal projects, ongoing education is essential for long-term success.

Conclusion

Breaking into the tech world may seem daunting, but with the right approach and commitment, it’s entirely possible. By assessing your interests, acquiring relevant skills, building a portfolio, networking, gaining practical experience, preparing for job applications, and committing to lifelong learning, you’ll be well on your way to a rewarding career in technology.

Embrace the journey, stay curious, and connect with the tech community. The tech world is vast and filled with possibilities, and your adventure is just beginning. Take that first step today and unlock the doors to your future in technology!

contact Infoemation wensite: https://agileseen.com/how-to-get-to-tech-world/ Phone: 01722-326809 Email: info@agileseen.com

[sonetra-keth]

DIGITAL TECHNOLOGIES that enhance coordination for real estate developers

In the 21st century, the Architecture, Engineering, and Construction (AEC) industry has seen a rapid evolution with the adoption of new digital technologies that enhance coordination and integration among project stakeholders for real estate developers.

As an experienced architectural manager with a Master's Degree in Architecture, an Architectural Engineering degree, and expertise in BIM processes from reputable institutions, here are some key technologies that can be effectively utilized within the organization:

1. Building Information Modeling (BIM): According to ISO 19650, Building Information Modeling (BIM) is a collaborative process that utilizes digital information to create a shared knowledge resource for the design, construction, and operation of built assets, such as buildings and infrastructure. BIM involves the generation and management of digital representations of the physical and functional characteristics of a facility. These digital representations form a reliable basis for decision-making throughout the asset lifecycle, from initial planning and design through construction, operation, and maintenance.

BIM is a 3D modeling technology that enables stakeholders to create, collaborate, and manage building design and construction information in a digital environment.

BIM facilitates better coordination, clash detection, visualization, and data sharing among architects, engineers, contractors, and clients throughout the project lifecycle.

2. Virtual Design and Construction (VDC): Virtual Design and Construction (VDC) is a methodology that utilizes digital technologies, such as Building Information Modeling (BIM), 3D modeling, simulation, and visualization tools, to create virtual representations of construction projects. VDC integrates design, construction, and project management processes to improve collaboration, coordination, and decision-making throughout the project lifecycle. In VDC, project teams use virtual models to simulate and analyze construction processes, identify potential conflicts or issues, optimize project sequencing, and visualize the final built environment before construction begins. By leveraging advanced digital tools and techniques, VDC enables stakeholders to explore design alternatives, evaluate construction methods, and enhance project outcomes in a virtual environment.

VDC uses 3D modeling, simulation, and visualization tools to plan, design, and construct buildings virtually before physical construction begins.

VDC enhances coordination, reduces errors, improves communication, and enables stakeholders to make informed decisions early in the project.

3. Augmented Reality (AR) and Virtual Reality (VR):

AR and VR technologies provide immersive experiences that allow stakeholders to visualize and interact with digital models in a realistic and interactive way.

AR and VR enhance stakeholder engagement, design review processes, client presentations, and construction planning by offering a more intuitive and immersive experience.

4. Drones and UAVs:

Drones and Unmanned Aerial Vehicles (UAVs) are used for aerial surveys, site inspections, progress monitoring, and data collection in construction projects.

Drones provide real-time data, aerial imagery, and 3D mapping that improve project visibility, safety, and decision-making for stakeholders.

5. Internet of Things (IoT):

IoT technologies connect physical devices and sensors to the internet, enabling real-time monitoring, data collection, and analysis of building systems and construction processes.

IoT enhances building performance, energy efficiency, maintenance management, and occupant comfort by providing valuable insights to stakeholders.

6. Cloud Computing and Collaboration Platforms:

Cloud-based platforms enable stakeholders to store, share, and collaborate on project data and documents in a centralized and secure environment.

Cloud computing enhances communication, document management, version control, and access to real-time project information for all stakeholders.

7. Artificial Intelligence (AI) and Machine Learning (ML):

AI and ML technologies analyze large datasets, optimize workflows, automate repetitive tasks, and provide predictive insights to stakeholders in the AEC industry.

AI and ML improve decision-making, risk management, cost estimation, and project performance by leveraging data-driven intelligence.

By leveraging these new digital technologies, real estate developers and project stakeholders... can enhance coordination, collaboration, and integration in AEC projects, leading to improved efficiency, productivity, and project outcomes in the 21st century.

Sonetra KETH (កេត សុនេត្រា) Architectural Manager, Project Manager, BIM Director 建築師經理, 專案經理, BIM總監 Giám đốc kiến ​​trúc, Giám đốc dựán, Giám đốc BIM RMIT University Vietnam + Institute of Technology of Cambodia