TensorFlow has a large library as well as a glass firewall and is one of the easiest ways of solving real-world problems. IT specialists can apply it in a broad range of spheres including image recognition, natural language processing, robotics, and workflow automation solutions, making it a natural fit for diverse industries seeking advanced automation and AI integration.

9 Fundamental Concepts

The following are the nine major concepts of TensorFlow:

1. Tensors: Tensors are the core part of TensorFlow. They are multi-dimensional arrays.  Tensors let you store and modify data. You may think tensors are a generalization of numbers, vectors, and matrices used in computations.
2. Graphs: TensorFlow makes use of computational graphs. These help represent and execute operations. This structure ensures efficient execution and also helps in easy debugging.
3. Sessions: Sessions in TensorFlow were initially used to execute computation graphs, providing a structured way to run operations. While eager execution replaced sessions in later versions, understanding sessions can help beginners grasp the underlying mechanics of TensorFlow, especially in NLP development workflows. This foundational knowledge is crucial for optimizing tasks like data preprocessing, model training, and deploying NLP solutions efficiently.
4. Eager Execution: Eager execution is a mode where TensorFlow operations are run immediately. This makes debugging easier. It simplifies coding for beginners. Thus, it provides instant feedback as it eliminates the need to build and run graphs explicitly.
5. Placeholders and Variables: Weights and bias are stored in variables during training, and data, which was previously provided as input to the models, is fed through placeholders. These concepts help any TensorFlow expert adequately control data flow.
6. Layers: Layers are the most fundamental element in TensorFlow neural network structures. They all work in layers; that is, CNN does convolution while RNN does recurrence in an attempt to help the model learn.
7. Optimizers: Different optimizers change the weight of a model in a way that lowers the error. Different optimization algorithms such as SGD, Adam, and RMSProp available in TensorFlow help identify the best set of parameters during the training process.
8. Loss Functions: The loss functions are a way to define the difference or discrepancy between the actual and predicted outputs. TensorFlow also comprises standard loss functions such as the mean squared error and cross-entropy, which are essential for teaching the model.
9. Model Training and Evaluation: Training involves feeding data into the model, measuring the loss, and adjusting the weights to improve performance. The evaluation uses unseen data to test the model’s robustness and ensure it generalizes well. TensorFlow simplifies these steps with its user-friendly API and built-in functions, accelerating product modernization services by enabling the efficient development of cutting-edge AI models. This streamlined approach ensures businesses can seamlessly integrate modern solutions into their workflows.

3 Uses of TensorFlow

Any leading TensorFlow development company will be an expert in different applications of TensorFlow. Three of them are as follows:

1. Image recognition and processing

Some typical applications of TensorFlow include Object recognition, image categorization, and segmentation. For example:

• Recognizing objects in security video surveillance.
• Classifying medical images, like detecting tumors in X-rays or MRIs.
• Increasing scene image resolution using super-resolution models.

2. Natural language processing

TensorFlow should be used to build natural language processing that aids in understanding and processing human language. Use cases include:

• Sentiment analysis for customer feedback.
• Other industrial applications include translation from English to Spanish.
• They build chatbots or virtual assistants to make the virtual agents capable of comprehending user queries.

3. Predictive analytics

TensorFlow can model complex patterns in large datasets, making it suitable for prediction tasks like:

• Analyzing, for example, likely future sales based on prior sales data or probable future trends in the stock market.
• Using anomaly detection to predict equipment failure in manufacturing.
• Applying a user behavior analysis to make recommendations for products on e-commerce websites.

In conclusion, tensorFlow provides a robust framework for new AI developers to dive into machine learning and deep learning. By mastering its core concepts—tensors, graphs, Keras, and more—you can create innovative models and solve complex problems. TensorFlow can transform your AI ideas into impactful real-world solutions with practice and persistence.

See also: Best use cases for TensorFlow in actual-world applications

The post Exploring the Fundamentals of TensorFlow for New AI Developers appeared first on PC Tech Magazine.

Low code is proving its value, not just as a trendy concept but as a practical solution. According to statistics, 60% of businesses using low-code platforms report increased revenues and the replacement of outdated systems. In a world where agility is crucial, low code allows companies to innovate quickly and cost-effectively.

Understanding low code and its role in development

Low code simplifies app development. Instead of deep coding knowledge, it uses visual tools and ready-made components, making it simpler for all users to develop effective software. This approach reduces the intricacies of coding, letting organizations concentrate on strategic solutions. Low code also lowers the entry barrier for innovation, allowing businesses to turn ideas into applications without waiting for extensive IT involvement. By focusing on functionality over technical hurdles, it empowers teams to solve problems faster and with fewer bottlenecks.

But what is low code exactly? It’s a feature that makes software development more inclusive. By enabling a broader range of people to build apps, low code speeds up processes and enhances productivity, helping businesses keep up with market evolution. It acts as a bridge between creativity and execution, turning visions into workable tools in record time. Companies can evolve their operations without needing an army of developers.

Accelerating development timelines

Traditional software development is a drawn-out, resource-heavy procedure. Low code changes this by drastically cutting down the time from idea to launch. With intuitive interfaces and modular components, developers can skip slower coding processes. Teams can prototype, test, and deploy applications faster, which is crucial in industries where delays mean lost opportunities. By removing the typical development bottlenecks, low code ensures that businesses stay ahead of competitors.

Speeding up development with low code doesn’t sacrifice quality. Teams can build solid, scalable applications that meet specific business needs quickly, allowing businesses to adapt to market shifts and solve problems faster. This approach not only supports short-term goals but also positions organizations for long-term adaptability. In a market where quick responses are crucial, this is a key benefit. Agile development means businesses can pivot when necessary without excessive downtime or expense.

Bridging the IT and business gap

Historically, IT and business teams have worked separately, with IT managing tech aspects and business handling strategy. Low-code platforms remove this barrier by letting business users help in application development. This shared responsibility fosters stronger alignment between technical capabilities and business priorities, ensuring that solutions are both practical and impactful.

Low code allows even those without tech skills to build or prototype applications, lightening the load on IT and accelerating development. This teamwork ensures products meet business needs, as those familiar with business challenges are involved in crafting solutions. By breaking down silos, low code creates a collaborative environment where ideas and execution meet seamlessly. This collaboration reduces miscommunication and improves the overall efficiency of projects.

Also read:

• • Top 10 in-demand coding job roles for 2024 and beyond
  • 4 great ways to introduce your child to the world of coding
  • Create an app for your business with zero coding experience

Driving cost efficiency

Traditionally, creating custom applications is costly, requires skilled developers, and takes time. Low-code platforms cut these expenses by making the development process easier and reducing the need for specialized staff. This allows organizations to save on big-budget tech projects. Smaller businesses, in particular, can benefit by gaining access to development capabilities previously limited to larger enterprises.

With low code, maintaining software is also easier and cheaper. Updates and fixes can be done swiftly without deep coding, allowing businesses to use their resources for innovation and expansion instead of routine tech maintenance. These savings extend to long-term operations, as low-code solutions often require fewer resources to scale and adapt. This efficiency gives organizations the freedom to allocate budgets toward strategic growth.

Flexibility across industries

The advantage of low-code platforms is their flexibility. They cater to the specific demands of different industries, enhancing capabilities across sectors. For example, in healthcare, low code helps manage patient data and streamline appointments and telemedicine services. Banks use these platforms for secure customer onboarding and fraud monitoring, while logistics companies optimize supply chains and deliveries. Low-code platforms’ ability to address unique challenges makes them a valuable tool in industries with complex workflows.

These cases underline the adaptability of low-code solutions in various settings. They aid in upgrading customer service, streamlining internal processes, or meeting regulatory demands. Low code also enables businesses to experiment with new ideas without the risk of significant upfront investment. Any industry can utilize low code to tackle obstacles and boost efficiency. It’s not just about solving problems; it’s about unlocking potential in ways that were previously out of reach.

Therefore, low-code platforms are revolutionizing industries by allowing businesses to quickly, efficiently, and cost-effectively innovate. They remove obstacles that have historically impeded conventional software development, encouraging cooperation between technical and non-technical groups. As the need for digital transformation expands, the influence of low code will also rise.

Companies that adopt low-code solutions set themselves up for success in a world that is becoming more digital. By utilizing these tools, they remain competitive and secure their operations for the future, allowing them to be flexible and take advantage of opportunities. Low-code development has become a strategic necessity for organizations looking to succeed in today’s era, rather than just a choice.

The post How Low Code is Driving Digital Transformation Across Industries appeared first on PC Tech Magazine.

Major TensorFlow benefits;

In the table given below, we shall focus on some of the advantages of TensorFlow:

In the chart given below, you will gain a better understanding of the GitHub Star count of some of the best open-source deep learning frameworks. Just look at TensorFlow:

Source

Real-world examples of TensorFlow in action

TensorFlow is an open-source machine library that is best suited to handle real-world business applications. The real-world examples of TensorFlow in action are listed below:

• Detecting Text and Categorizing

The discussion of some of the most popular use cases associated with deep learning cannot be complete without mentioning its text-based applications. Sentiment analysis, detecting fraud, and identifying potential threats are standard text-based applications related to deep learning. The presence of TensorFlow in sentiment analysis is very useful in social media marketing and customer relationship management. Likewise, fraud detection is also capable of supporting operations carried out in financial and insurance domains.

Deep learning powers sentiment analysis, fraud detection, and threat identification, driving innovation across industries. To implement these solutions effectively, hire Flask developers for creating robust web platforms tailored to your needs.

The text-related application of TensorFlow also prioritizes the detection of language. For example, an individual will be able to locate support for multiple languages via Google Translate. The use cases of TensorFlow also feature summarization of text. Internet giant Google has discovered that a deep learning method known by the name sequence-to-sequence or in short S2S learning helps carry out text summarization. Creating news headlines is one of the applications of the S2S deep learning technique associated with TensorFlow. Besides, SmartReply, which can create email responses instantly is yet another best example of TensorFlow use cases related to text-related applications.

• Time Series Algorithms

The use of TensorFlow also happens with time series algorithms, as it helps analyze time series data. In certain circumstances, you may consider availing the services of a TensorFlow-certified developer to retrieve relevant statistics from the time series data. For example, TensorFlow is an ideal choice to forecast the stock market.

Today, some of the major platforms such as Netflix, Facebook, Amazon, and Google take advantage of deep learning to provide suggestions to users. An exact picture of the preferences and expectations of a customer can be provided by this module. For example, a TensorFlow deep learning framework permits recommendation engines to suggest certain TV shows or movies based on an individual’s habits. They also support use cases in various other sectors such as finance, governance, security, IoT, and accounting.

• Image Recognition

The use of image recognition contained in deep learning has a significant role in boosting the popularity of machine learning and enhanced learning. Some of the noteworthy users of image recognition applications consist of smartphone manufacturing firms, media, and telecom. Apart from that, image recognition can support usage that features photo clustering, image search, face recognition, and motion detection as well. The use cases of TensorFlow are best suited for applications such as automobile and healthcare industries. The presence of image recognition features in TensorFlow is very useful in getting familiar with the context along with image content. It is an ideal option for creating object recognition algorithms too.

See also: The ethics of using facial recognition technology

• Detecting Videos

Video detection is yet another notable and handy feature included in TensorFlow. The deep learning algorithms also assist in motion detection along with real-time thread detection in gaming and security. For the past several years, researchers have been actively involved in massive-scale datasets for video categorization. Youtube is one of the finest examples of datasets. These datasets are very useful in speeding up the process of research related to modeling of noisy-data, and transfer learning.

• Voice Recognition Applications

In addition to the above-mentioned, voice recognition algorithms are one of the best use cases of deep learning. TensorFlow can support the use of deep learning for various voice search applications. It is currently quite popular amongst manufacturers of smartphones and telecom giants. Some companies may even rely on a reliable TensorFlow developer to deal with sentiment analysis in CRS-based applications. Apart from that, they are best suited for the automobile and aviation industry, as they help in tracking errors at an early stage including unusual noise of engines.

Leverage TensorFlow for voice recognition and sentiment analysis with expert Python developers. Hire Python developers to power your next innovative application.

• Recommender Systems

Recommender Systems can provide recommendations in a personalized format to individuals based on their expectations. TensorFlow provides numerous libraries along with modules that would assist you in designing recommender systems. Some of them include TensorFlow Recommenders for building and gauging models, and TensorFlow Serving for employing models. In addition, TensorFlow Ranking to learn how to rank items is also available. Content recommendation, product recommendation, and ad recommendation are some of the most popular recommender systems use cases of TensorFlow.

The use cases of TensorFlow highlight the fact that it is one of the best tools for software developers who are focusing on deep learning algorithms. Being a highly advanced subset of AI, deep learning is very helpful in developing the upcoming generation of smart applications as well as systems. The use of TensorFlow within deep learning would ease the ML development/deployment process while offering maximum scalability for development along with visualization.

The post Best Use Cases for TensorFlow in Actual-World Applications appeared first on PC Tech Magazine.

The pros of in-house software development

1. Domain knowledge

One of the primary benefits of in-house software development is the wealth of domain knowledge your internal team possesses. They understand your industry’s intricacies, the competitive landscape, and your target audience. This familiarity can streamline development as your team won’t require extensive onboarding to grasp project requirements.

For niche industries, this knowledge is indispensable. For instance, if your business produces specialized hardware components, the complexities involved in developing a custom software tool to manage production may be best understood by an internal team. Outsourcing agencies, while often versatile, may lack the specific insight into your unique operations, leading to potential misalignments in product development.

2. Team cohesion

In-house development teams benefit from an inherent understanding of your company culture, processes, and communication norms. Team members are already aligned with the broader business strategy, and coordination between departments tends to be more fluid. You won’t have to invest extra time and resources into fostering teamwork because your employees are already accustomed to collaborating.

3. Faster collaboration

With your development team working under the same roof—or easily accessible in a remote setting—you can enjoy seamless and spontaneous communication. This leads to quicker problem resolution and collaboration. Teams can hold impromptu meetings, bounce ideas off one another, and address roadblocks swiftly. In contrast, outsourced teams might face time zone differences or communication delays that can slow down progress.

4. Skill development

By investing in an in-house development team, you’re not just building a product; you’re investing in your organization’s long-term technical expertise. Your team can upskill and develop competencies that can be leveraged across future projects. This continuous skill improvement adds value to the company and makes your team more capable of tackling evolving technological challenges.

5. Direct oversight

Having direct control over your development process is a significant advantage of in-house development. You can closely monitor progress, make real-time adjustments, and ensure the project remains aligned with your company’s vision. This oversight gives you a sense of security, knowing that the project is under your control and the outcome is aligned with your goals.

The cons of in-house software development

• Reduced focus

One of the challenges of using an internal team is the risk of divided attention. Unless your company can afford to dedicate employees solely to the development project, they’ll likely juggle multiple responsibilities. This can result in delayed timelines and lower overall productivity, especially for project management roles. When team members are stretched thin, balancing software development with core business functions can be overwhelming.

• Hiring challenges

Building a capable in-house team can be an arduous process. Recruiting skilled developers takes time, and there’s no guarantee you’ll find the right fit immediately. Onboarding and training also consume internal resources, and this ramp-up phase can delay project timelines by months. Furthermore, hiring technical talent requires technical expertise—something your HR department may lack, making it difficult to assess candidates accurately.

• High overhead costs

Maintaining an in-house development team involves significant overhead. Salaries are just the tip of the iceberg. There’s also the cost of equipment, software licenses, infrastructure, and ongoing operational expenses. An outsourcing agency, on the other hand, has already invested in these tools and can often be more cost-efficient. For example, outsourcing companies typically have access to a vast array of testing devices, which would otherwise be a considerable expense for your internal team.

• Smaller tech community

Your in-house team’s size will likely be smaller than that of a tech outsourcing agency. This means fewer people to brainstorm with, solve complex problems, or share knowledge with. While your team may be talented, they may not have access to the same breadth of resources and expertise that a larger tech agency can offer.

• Retention risks

Retention is a critical challenge in the tech industry. Developers often have plenty of job opportunities, and if they feel underutilized or lack growth opportunities, they may leave mid-project. Keeping top talent engaged and satisfied requires not only offering competitive salaries but also ensuring they’re consistently challenged and have room to grow.

Also read:

• • Revolutionizing software development with cloud application development companies
  • Harnessing the potential of blockchain technology in software development
  • How AI is shaping the future of software development

The pros of outsourcing software development

1. Industry-agnostic expertise

Outsourcing agencies often bring a fresh perspective to your project. They work across various industries and can draw on this experience to find innovative solutions that you may not have considered. While in-house teams are deeply embedded in your domain, they may fall victim to “we’ve always done it this way” thinking. Outsourced partners, with their diverse backgrounds, can offer insights that lead to creative and more efficient solutions.

2. Efficiency from experience

Established outsourcing companies typically have hundreds of successful projects under their belt. This experience translates into faster, more efficient project delivery. They’ve seen numerous challenges and developed strategies to overcome them. When you hire an agency, you’re not just paying for development time—you’re paying for years of refined processes and best practices.

3. Comprehensive solutions

Many outsourcing agencies offer end-to-end services, covering every phase of software development from design and strategy to testing and launch. They often have diverse skill sets and a robust tech stack, allowing them to meet a wide range of needs. If your project requires expertise in emerging technologies like artificial intelligence (AI) or the Internet of Things (IoT), an agency is likely to have the specialists you need.

4. Scalability and flexibility

One of the greatest advantages of outsourcing is flexibility. The project scope may shift mid-course, and outsourcing agencies can quickly scale the team up or down to accommodate these changes. Whether you need to add developers with specific expertise or reduce the size of the team, outsourcing offers the agility that in-house teams can’t always match.

The cons of outsourcing software development

• Quality concerns

Choosing the right outsourcing partner can feel like a gamble. Not all agencies deliver on their promises, and it’s important to research thoroughly before committing. Ensure the agency you’re considering has relevant certifications, a solid track record, and client reviews. A poorly chosen partner can lead to subpar results, missed deadlines, and costly revisions.

1. Integration difficulties

Collaborating with an external partner can present integration challenges. Differences in work culture, language barriers, and even time zones can complicate coordination. However, with proper vetting, you can find a partner whose work style aligns with yours, minimizing these challenges.

• Potential team changes

Outsourcing agencies may reallocate their staff across projects, which could lead to changes in your development team mid-project. While some agencies have smooth onboarding and offboarding processes in place to ensure continuity, this is still a risk worth considering.

• Less direct control

Outsourcing inherently means giving up some control. You won’t have the same level of oversight as you would with an in-house team. While this can free up your time for higher-level strategy, it can also be a concern if you prefer hands-on involvement in every aspect of the project.

The verdict

Ultimately, the decision between in-house software development and outsourcing depends on your specific project requirements, available resources, and long-term goals. Both approaches offer unique advantages and face potential drawbacks. If domain expertise and company culture are critical to the success of your project, an in-house team may be the better option. However, if you seek flexibility, cost-efficiency, and access to a broader pool of talent, outsourcing could be the right choice. Carefully weigh the pros and cons and consider how each option aligns with your business objectives before making your decision.

See also: Top perks of fintech software development for modern businesses

The post In-House Software Development vs Outsourcing: Which Should You Choose? appeared first on PC Tech Magazine.

The cloud revolution

From being a mere hype, cloud computing has transformed into one of the major business outcomes. Small and big organizations have started moving towards cloud technology as an instrument to enhance the functioning and to reduce expenses. Bridging the gap of cloud computing, data, and applications can be stored separately and accessed at any point on earth. This has been helpful for remote work and hybrid workplaces, which are on the rise.

The cloud provides software developers with an extensive range of tools and services that help ease the development process. Starting from cloud storage solutions to advanced development frameworks, the cloud is a versatile environment that makes building, testing, and deploying applications easier than ever.

Advantages of cloud application development;

1. Scalability

Scalability is one of the major advantages of cloud application development. Businesses can scale up or down according to the demands without making huge upfront investments in hardware. This flexibility is very important for startups and growing companies, as the traffic of users may vary frequently. A cloud application development company can help organizations implement scalable architectures that adapt to their needs.

2. Cost efficiency

In comparison, there is a restriction of infrastructural physical arrangements and it saves on what is invested in the upkeep of infrastructures. In as much as a physical system, there is the potential to have huge investments in a premise where the firms can host their servers, coming up with an app remains possible since on-demand development provides the organization with what it needs. Additionally, with such applications available companies are always assured that all their resources go as wished. Collaboration and Accessibility

It will bring developers closer, who will then work on more projects, collaborate, and get access to resources in real-time from other locations. Its benefits do not favor large teams but rather teams of sizeable people for global talent access without restriction by geographic boundaries. Accessibility of any device with Internet connectivity helps the teams never miss any working opportunity for productivity everywhere.

4. Rapid deployment with continuous integration

Development using cloud-based tools brings software development much closer to reality. Using these development tools, developers can have quicker application deployment, with opportunities to test new feature elements and roll out their deployments without major downtime incidents. Continuous integration and deployment/continuous delivery (CI/CD) practices are less tedious in cloud environments so that applications are constantly developed through user feedback.

See also: How to use cloud computing to boost your productivity and efficiency

Cloud application development companies

With the emergence of a cloud, the need to specialize has increased. Developing companies for cloud applications can be a huge part of this transformation, and this can offer customized solutions that are well aligned with business goals. Some of the key contributions that these companies make to successful cloud application development include:

• Expertise in cloud technologies

Cloud application development company possess experience with a variety of cloud platforms like AWS, Microsoft Azure, and Google Cloud. This can be advantageous to businesses as they can select the appropriate platform and services that suit their requirements. Using this experience, organizations can prevent the usual mistakes that occur while adopting clouds.

• Customized solutions

Every business is unique, and one-size-fits-all is hardly the case in software development. Cloud application development companies are capable of offering custom solutions that cater to the unique needs of a business: e-commerce platform, mobile app, or enterprise resource planning system. Given that one understands the inner workings of a business, cloud application development companies can develop applications that increase productivity and enhance user experience.

• On-demand app development services

One of the strongest benefits of cloud application development is on-demand app development. Businesses can rapidly engage development teams to develop applications that meet their immediate needs. Whether it is developing a new feature, addressing a bug, or launching a new product, these services enable organizations to stay agile and responsive in changing markets.

• Security and Compliance

The growth of cloud computing means the importance of secured data and compliance. Good cloud application development companies are more than aware of best practices while securing the cloud environment. They follow rigorous security requirements such as encryption, controls, and auditing, safeguarding sensitive information and thereby complying with the standards expected from industries.

Also read:

• • Harnessing the potential of blockchain technology in software development
  • Top perks of fintech software development for modern businesses
  • How artificial intelligence is shaping the future of software development

Future trends in cloud software development

Further advancement of cloud technology is expected to drive the future course of software development under several trends:

1. Serverless computing

Serverless computing is the capability to deploy and host an application without having to think about the server infrastructure. This renders the developers with a much simpler abstracted view of development because in most cases they are likely to concentrate on the code than on management of a set of servers. It means that, as the deployment time comes down and operational cost decreases, serverless architecture has high chances of getting deployed even more.

2. Artificial Intelligence and Machine Learning

This emerging trend is in particular that, cloud applications are being constantly augmented with AI and machine learning. Such applications can be developed by a cloud application development company as smarter applications that provide customized user experiences and predictive analytics for better business performance as a whole.

3. Multi-cloud strategies

Organizations are embracing multi-cloud strategies. Here, the usage of services from more than one cloud provider is there to avoid vendor lock-in and to enhance flexibility. Cloud application development companies need to change their strategies accordingly to support diverse environments. Applications work well across a variety of platforms.

Cloud computing revolutionized the software development world with unprecedented innovation and efficiency, but here comes the role of cloud application development companies and on-demand app development services making businesses more viable in this new world of digital-first. Technology will keep on advancing, but future software development will surely be driven by the capabilities and flexibility offered by the cloud so that organizations can be agile, competitive, and responsive to the changing needs of markets. Such changes have become inevitable for those organizations that would like to be successful in the present.

See also: Why does your business need professional software development services

The post Revolutionizing Software Development with Cloud Application Development Companies appeared first on PC Tech Magazine.

Kinds of teleprompter app

Before you begin looking for programming, how about we iron out the two kinds of teleprompter you could experience:

1. Physical teleprompter

A physical teleprompter is a calculated mirror that sits before your camera focal point and mirrors a screen that shows your video script. If you’re utilizing this sort of gadget, you’ll have to pick programming that is viable with a physical teleprompter.

2. Virtual teleprompter

This product imitates the teleprompter pc impact and transforms your PC screen or cell phone into an understanding screen. It’s not quite as consistent as a genuine elevated monitor, since you’re not gazing straight into the camera, yet entirely it’s nearby. If you’re going to this course to make YouTube recordings or host a video webcast, search for programming that can transform your gadget into a teleprompter. It could be a teleprompter app for Windows or even a teleprompter for iPhone.

Why use elevated teleprompter software

Teleprompters used to be the restrictive save of lawmakers, superstars, television moderators, and commentators. We’re a piece past that at this point. With a decent mouthpiece, cell phone, stand, and a teleprompter for PC, you can make proficient talking head recordings without stressing over mistakes, or uncomfortable silences.

The following are two justifications for why you ought to utilize elevated screen programming.

• Further developed conveyance and certainty: During a live stream or while recording a video, it’s not difficult to get anxious and stagger over your words. Retaining ideas and introducing them before your crowd doesn’t ensure you’ll have everything focused on memory —like what has been going on with Jan Fisher, a previous anchor at 25 News.

Rather than taking a blind leap of faith or following a free diagram with no construction, elevated monitor programming can help you:

• • Keep your eyes on the camera while perusing the content.
  • Look up or down your screen at an agreeable speed.
  • Keep a cool head and convey your lines with certainty.
  • Lay out a more special interaction with your crowd.
  • Stay away from filler words or going excessively far off the script.
  • Diminished mistakes and further developed exactness.

Teleprompter software decreases the possibility of blunders brought about by memory slips. You won’t have to retain your lines or do over a million takes to get your conveyance right. Teleprompter apps likewise guarantee you stay on track and remain within the apportioned time.

That implies a quicker shoot and less altering time. Assuming that you want to alter the live video recording or reuse the substance for different stages, it’ll be more straightforward to pick and graft the great lumps.

• Flexibility and customization: Teleprompter software can show text, yet go about as an outer screen that allows you to gaze straight into the camera during Zoom calls and remote meetings. Virtual elevated monitor programming, then again, can transform your gadget into a compact monitor any place you are, so you can zero in on making an extraordinary substance that charms your crowd and consistent conveyance.

The best overall teleprompter software

Content creation is quickly changing, and makers who don’t adjust risk falling behind. The best Teleprompter for PC allows you to deal with all your video creation needs in a single stage, as opposed to paying for some devices.

Teleprompter apps are especially useful assuming that you battle with checking out at the camera while perusing your content. Not any more monotonous error-and-retake circles, retaining scripts, altering burdens, or innumerable hours of recording. For best results, the Teleprompter app by FDD is still the best teleprompter for PC you can always use a teleprompter online for free.

See also: How video transcript generators can improve SEO for your video content

The post Considering The Best Teleprompter Software For PC appeared first on PC Tech Magazine.

Between October 1, 2014, and July 29, 2015, the Windows Insider Program released a whole bunch of preview builds, and every single one was big news.

Windows Phone was failing, Windows 8 was a flop, and no one was making new apps for Windows anymore despite the new touchscreen interface. Moreover, the end of life for Windows 7 was around the corner, and Microsoft was due to face the same issues with the Windows XP EOL — people weren’t likely to upgrade their existing PCs, which still worked fine.

Windows 10 was going to be a revolution. First of all, it would roll back the changes in Windows 8 while keeping some of the touch-friendly elements. That meant the Start Menu returned and full-screen apps were going away. Those Metro apps, which were succeeded by UWP, would run in Windows like any other app.

And UWP was a big change as well. Microsoft was going to leverage its strength in the desktop market by having developers convert their apps into “universal” apps, which would have a responsive design that scaled across different interfaces. In other words, a desktop app would work on phones too.

Bridges were another way to close the app gap. Windows 10 was going to be able to run Android apps, and iOS developers would be able to recompile their code to turn their iOS apps into Windows apps. The part about Android apps was called Project Astoria, and that was scrapped before the public release of Windows 10. It worked in Windows 10 Mobile previews though.

Windows 10 launched on July 29, 2015, as a free upgrade for anyone running Windows 7 or Windows 8.1. A free upgrade for Windows Phone 8.1 was promised to arrive later. It didn’t go too well.

First of all, Microsoft was pushing the free upgrade hard. After all, one of the goals was to stop competing with itself. It truly wanted all Windows users on the same platform.

There’s an endless supply of methods Microsoft used to get people to upgrade, from full-screen ads to the infamous ‘Get Windows 10’ app that sat in your system tray, to silently changing the default behavior of upgrade prompts so that you’d get upgraded if you clicked the message away.

There’s also an endless supply of user stories waking up one day to Windows 10 on their PCs without them ever realizing they might have opted in. On top of all of this, Windows 10 wasn’t ready. The OS was supposed to launch that fall, but OEMs wanted it pushed up, so we got an immature release.

The first feature update: The Windows 10 we were supposed to get

Windows 10 version 1511 (version numbers were the two-digit year and the two-digit month) was mostly a fit-and-finish style update. It did have some interesting new features, such as a trio of Skype apps for messaging, phone calls, and video calls. Indeed, Skype was to be integrated with the OS, an idea that was weirdly received as radical.

Microsoft started phasing these apps out by the next release. But since Windows 10 was supposed to launch that fall rather than in the summer, that’s when we got the ‘big bang’ hardware release.

At a November event, Microsoft announced the Surface Pro 4, Surface Book, Lumia 950 and 950 XL, Lumia 550, and Microsoft Band 2. In truth, when Panos Panay revealed that the screen could be detached from the Surface Book, that was his finest moment as a presenter. All of those products were riddled with problems. For Surface, Microsoft was the first to use Intel’s ‘Skylake’ chips, which had lots of power management issues.

The Windows 10 Mobile update for existing devices arrived on March 17, 2016, but there was a catch. Microsoft broke its promise of upgrading all Windows Phone 8.1 devices. It had a subset of phones that would get the update, which was pretty much anything that shipped with Windows Phone 8.1.

That wasn’t the only catch. In order to get Windows 10 Mobile, you had to download an app and opt into it. There was no prompt to do this either. You just had to know that this thing existed and know how to get it.

The Windows 10 Anniversary Update: Windows 10 matures

The only feature update that was released in 2016 was the Anniversary Update, which came out on August 2, 2016. It had interesting new features like Windows Ink, a platform of tools that was made for pen support.

Microsoft also introduced the new Skype UWP (Universal Windows Platform) app. Yes, this was in the first update after it introduced integrated Skype apps, which were being killed off at this point.

For Windows 10 Mobile, users got a Wallet app and wireless continuum. The Anniversary Update was pretty feature-packed for its day.

There was one other notable change that happened shortly before this. The Windows Insider Program, which was led by Gabe Aul, was transferred to Dona Sarkar. For the time, it was a big deal because the Program itself was a big deal. Gabe Aul had fans. Remember, interest in Windows 10 was huge, partly because it was such a radical change and partly because Microsoft was so open about it.

See also: How opatch can secure your Windows 10 after Microsoft ends support in 2025

The Creator era: 2017

Microsoft released two Windows 10 updates in 2017, the Creators Update and the Fall Creators Update. This is where Paint 3D comes into play, folks.

It felt like everything in Windows was going 3D at the time. When Microsoft launched the Surface Studio in 2016, it also announced Windows Mixed Reality, headsets that connected to Windows PCs that would only cost a few hundred dollars, while competitors were twice that much.

Of course, by the time Windows Mixed Reality headsets shipped, companies like Oculus were doing standalone VR and headsets that were tethered and much cheaper, but that’s neither here nor there. The point is that Microsoft was pushing Windows Mixed Reality. Everything was about 3D creation because Microsoft was betting big on VR.

2017 also marked the nail in the coffin for Windows 10 Mobile. The Fall Creators Update, or version 1709, came from the Redstone 3 branch on PCs, but for the first time, Windows 10 Mobile came from a different branch. It was called ‘feature2’, and it lacked any kind of features at all. This ended up being the final feature update for Microsoft’s phone OS.

This was the first year when Microsoft offered a spring and a fall update, a pattern that it formalized later. The fall update was always the one that focused on stability, and getting longer support for businesses.

It didn’t have the stability that year though. The Windows 10 version 1709 release was actually a disaster. You see, Microsoft had let go of most of its internal product testers when it launched the Windows Insider Program. Why pay people to test a product when you can have fans do it for free? The third branch of the Program was called Release Preview; it was designed for updates that were ready to be released.

Microsoft skipped the Release Preview ring with the Fall Creators Update. The company took the stage at its annual Surface launch event and said it was available for download immediately. It wasn’t long before some users found that their files had been deleted. Uh oh. The Windows 10 Fall Creators Update was pulled, and re-released in November.

2018 and beyond

From Steven Sinofsky’s dream of everyone moving to touchscreen PCs and 2-in-1s with Windows 8 to Terry Myerson at the helm with Windows 10, the goal was always to make Windows cool and modernize the platform. People use Windows as a tool. They get the things they need done and they put away their computer, but they’re on their phones all the time. How could Microsoft make Windows as pleasant as your phone?

It just never worked. The mixed reality pushes, the mobile apps in the store, the tablet PCs, and so on; it just seemed that Windows was destined to remain a utility, and Microsoft more or less resigned to that mindset. Terry Myerson left Microsoft in late 2018, and for a while, there wasn’t a face of Windows.

From there, feature updates didn’t have any exciting features, and Microsoft even got gun-shy about promising features. At Build 2017, Joe Belfiore said a bunch of things were coming in the Fall Creators Update, and some didn’t ship on time. But while most companies would simply say the feature got delayed and they’re working on it, Microsoft went out in true Microsoft fashion and deflected.

There was messaging along the lines that the features weren’t promised (again, it’s on video), and the Windows Insider Program was reformed so that no features in the preview were aligned with a feature release.

The Windows Insider Program got less exciting after that. The features weren’t as flashy, and some were being A/B tested in a program where you signed up to get the latest new features. It all just seemed messy and got harder to keep up with, which I suppose was the point.

Windows was essentially in maintenance mode, but then, something changed in 2020. A whole lot of people started working from home, and that meant a whole lot of people were buying Windows PCs. Suddenly, there was an opportunity in the ever-shrinking PC market again.

The last version of Windows

When the concept of Windows as a service was unveiled, the internal plan was that Windows 10 was going to be the last version of the OS. It was just going to be serviced forever. Sure, there might be UI overhauls and such, but it would always be called Windows 10. Remember, a key goal was that Microsoft didn’t want to compete with itself anymore.

The company never publicly said this. A developer evangelist named Jerry Nixon did, and the company just sort of didn’t correct him. You won’t find a Microsoft press release saying that Windows 10 was going to be the last version. The company just doesn’t do that. It likes to stay vague and not make promises.

And as we all know now, it didn’t end up being the last version. With the new PC boom, a new version of Windows would increase sales. Indeed, there’s a massive spike in Windows interest that comes with a new release.

Windows 11 was born.

Once again, Windows 11 was a free update, but this time, there wasn’t such a focus on upgrading old hardware. It requires an eighth-gen or newer Intel CPU, and similar AMD or Qualcomm specs. Even some hardware that shipped with Windows 10, like the original Surface Book, wasn’t eligible.

There was a TPU requirement as well, but that was pretty minor since there was a TPU requirement for new Windows 10 PCs before the required CPUs came out.

Support for Windows 10 ends in October 2025, and Microsoft will once again be competing with itself. One thing is for sure. Windows 10 laid the groundwork for the modern features that we enjoy today, despite the bumpy ride that it’s been.

And despite various challenges along the way, Microsoft adapted quickly. There’s always work to be done, but when you look at some of the stumbles with Windows 10 and how it didn’t take years to make changes from them, it’s impressive, happy 10th Anniversary Windows.

See also: Windows 11 compatibility check: how to know if your laptop or PC is eligible for upgrade

The post Windows 10 Memory Lane, Celebrating 10th Anniversary this October appeared first on PC Tech Magazine.

See also: Windows 11 compatibility check: How to know if your laptop or PC is eligible for an upgrade

While the extended support ends in October 2025 for Windows 10 Home and Pro, Microsoft will still offer a paid option called Extended Security Updates (ESU). ESU will allow businesses to keep getting critical security updates for a limited time after the official end of the extended support. However, ESU can be expensive, with yearly fees starting at around USD$27 (approx. UGX100,000) per device. For companies with a lot of Windows 10 computers, this can add up quickly.

OPatch: An affordable security option

Luckily, there are other choices besides Microsoft’s ESU program. Security companies like 0patch offer solutions to fill the gap left when Microsoft stops supporting an operating system.

OPatch uses a new way of fixing security problems called “micro-patching.” Instead of giving you big updates with many fixes, they deliver small patches for just the specific vulnerabilities that need attention. This has several advantages including;

• Less chance of problems: Micropatches are smaller than traditional updates, so they’re less likely to cause new issues or make your computer unstable.
• Faster updates: Micropatches are small, so they can be delivered and installed quickly, with less downtime for your computer.
• Easier to manage: Micropatches are targeted, so you don’t have to deal with update fatigue from getting lots of big updates all the time.

OPatch has already used micro-patching to keep older versions of Windows and Office secure, even after Microsoft stopped supporting them. This suggests they’re likely to keep supporting Windows 10 even after October 2025.

One of the biggest benefits of using 0patch instead of Microsoft’s ESU program is the cost. Individual subscriptions from 0patch are much cheaper than the yearly fees for ESU. While prices can vary, estimates show that 0patch subscriptions can be as low as USD$61 (approx. UGX227,000) per device, compared to Microsoft’s USD$27 (approx. UGX100,000) annual fee.

This cost savings can be a big deal for companies with a lot of Windows 10 computers. The money saved can be used for other important IT needs.

See also: How to install an operating system on a PC (Windows, Mac, and Linux)

The post How Opatch Can Secure Your Windows 10 After Microsoft Ends Support in 2025 appeared first on PC Tech Magazine.

Modern online financial solutions have become increasingly popular since the COVID-19 epidemic, and this trend has a huge chance of continuing in the future. Financial services can be transformed by ML-based development enterprises using digital fintech. For instance, recharges and remittances. Additionally, it has democratized Internet trading and expanded digital banking access.

However, to enhance customer services and their global reputation, banks and other financial institutions must offer financial stability for efficient operation.

What are fintech software services?

As earlier defined, fintech can be described as companies that leverage technology in the management of or the provision of financial products and services. The phrase refers to a developing sector that facilitates the needs of both consumers and companies. Fintech offers a limitless range of benefits, such as mobile banking, insurance, cryptocurrencies, and investment applications.

The fintech industry is now very immense, and the sector will keep growing for several more years. The fact that many conventional banks actively invest in, acquire, or collaborate with fintech software companies is one-factor influencing modern software development for fintech. Those are techniques that well-established banks can use to meet tech-savvy customers’ requirements while promoting the sector.

Benefits of fintech for businesses

According to estimates, fintech investment reached its pinnacle in 2021 at $92 billion, representing a 20% increase over the prior year’s investment.

Infrastructures for payment digitization are increasingly prominent among forward-thinking firms that prefer state-of-the-art technology solutions. But what are the primary commercial draws that justify this expansion of fintech firms? There is a list of the perks that fintech software development company offers, some of the most prominent are;

1. More resource accessibility

Businesses may accept payment for services and products most seamlessly thanks to algorithms generated by fintech solution providers. Therefore, it is safe to say that fintech development is one of the core forces behind corporate growth.

Businesses and startups benefit from their amazing intuition when discovering resources, distribution avenues, and investing platforms. For instance, clients must use electronic payment technology to buy goods or services over the Internet; as a result, an instant payment application is essential to the core of the e-commerce process for a successful transaction to occur.

Contrary to conventional banks, the fintech sector has fewer entry barriers, making it a productive field for all business sectors to flourish. With open banking APIs, non-banking corporations may quickly collaborate with suppliers and deliver an applicable product.

Companies with a solid understanding of fintech software development can own a successful product in this market.

2. Experts recruitment

Businesses that offer fintech software developer jobs within their companies have a diverse range of professionals within the same fields. Because finance has become a hot topic among users, companies demand experts who can run these applications.

3. Business process optimization

According to recent surveys, companies employing digitized financial assistance are three times more likely to witness revenue boosts. By methodically optimizing financial transactions and investment procedures, service providers who own Fintech products contribute to the proficiency and growth of several organizations.

A drastic infrastructure overhaul is no longer necessary to adopt new financial technology. Firms can effortlessly profit from the top-notch optimization that comes with it at a fair cost.

4. Better retention rate for businesses

Giving customers a personalized experience in the economic sector is a standard objective of fintech software companies. It is the main rationale behind its explosive development throughout the term. This statement was supported by a Kearney research of competitor banks, indicating that convenience is a key selling component for fintech products.

Businesses can give their customers a better shopping experience and increase customer retention using various generic and sector-specific fintech software development. The Global App Trends Report supports this idea, which claims that 18% of fintech users return after a week and more than 10% after a month.

Fintech development offers clients personalized experiences using artificial intelligence (AI) and Big Data services and increases customer retention through simplicity and speed. Due to their prior investments and financial circumstances, customers can competently access services and products from corporations.

Also read:

• • Revolutionizing maritime operations: The power of crew management software
  • Advantages of investing in online school management software
  • Aping manual data acquisition with automated bookkeeping software
  • Optimizing talent acquisition: The role of hiring software in improving candidate experience

The international market is gaining a radical boost with the help of finance-based development technologies. Moreover, it is becoming more and more entangled. Furthermore, consultants are continuously trying to benefit from technological advancements to increase client conversion. Upcoming developments will play a major role in funding full ecosystem advancements. Thus, fintech software companies can go beyond their core capabilities. Additionally, they deliver valuable services and a state-of-the-art consumer experience. Hence, businesses are recommended to utilize fintech software development within their agencies to accelerate success levels.

ALSO READ: OP-ED: ARCHITECTING CYBERSECURITY FOR UGANDA’S FINTECH SECTOR

The post Top Perks of Fintech Software Development for Modern Businesses appeared first on PC Tech Magazine.

Understanding crew management software

Crew management software refers to consolidated enterprise technology solutions designed specifically for the maritime industry’s needs to efficiently manage crew members and vessels. These solutions track detailed personnel information while coordinating training, certification, payroll, schedules, health records, and communication across far-flung teams. They allow centralized oversight and workflow automation vital for success.

Robust systems tailored to ship operational complexities provide managers and crews with valuable infrastructure, seamlessly connecting people and processes. If leveraged fully, these systems enable greater productivity and reduced overhead.

Key features of crew management software

Specialized maritime crew management platforms share standard capability sets that drive simplified coordination:

• Crew Database: This maintains detailed employee information, including certificates/licenses, medical status, immigration credentials, payroll details, emergency contacts, feedback, and performance metrics, in one centralized, secure hub that can be easily referenced.
• Scheduling and Planning: Manages rotational shift assignments, accounting for certification prerequisites, experience levels, and rest requirements, and balancing workload across teams fairly and effectively.
• Compliance Management: Ensures personnel documentation validity by tracking license and medical clearance expiration dates while logging onboard training completion for safety and operational competency.
• Training and Development: Spearheads skills advancement initiatives inland and onboard, identifying retraining needs through gaps analysis to uphold credentials and promote internal crew career growth over time.
• Payroll and Finance: This area ties into accounting software, streamlining international payment processing, taxation calculations, and automated reimbursement workflows across multinational crews, minimizing errors.
• Communication and Collaboration: Enables seamless multiparty messaging fostering documentation sharing for ship managers onshore coordinating with active vessel crews plus on-leave personnel via Role-based dashboards, keeping everyone aligned.
• Performance Management: Simplifies gathering officer/crew evaluations, oversight reports, and key benchmarking metrics providing data-backed reviews assessing team progress over time guiding HR decisions around training, rewards, or reassignments.

Integrating these tools collectively generates immense efficiency, unlocking strategic objectives like improving service quality, safety enhancements, and crew retention/satisfaction within fast-paced maritime settings, especially over longer time horizons.

Benefits of implementing crew management software

Investing into scaled crew management systems yields tremendous advantages for both shipping companies and working crew members, manifesting as:

For shipping companies

Specialized maritime software supports strategic goals:

• Cost Savings: Automates mundane coordination tasks, reduces overhead through optimized personnel planning, saves money that could be better spent, and improves core operations.
• Efficiency: It minimizes redundant data entry and eliminates paper-based processes, speeding up workflows through accurate information availability and boosting productivity.
• Compliance: Ensures strict adherence to evolving maritime regulations around safety, training, and responsiveness through timely certificate renewals, license validations, and transparent audits.
• Crew Retention: It simplifies payroll processing and enables proactive training alignments, reducing employee frustrations. It strongly aids crew loyalty and workplace sentiment over extended tenures.
• Data-Driven Insights: High-level analytics into team performance, trends, and arising issues guide smarter decisions leveraging aggregated metrics for continuous optimizations.

For crew members

Advantages also manifest through:

• Improved Communication: Platform transparency around schedules/pay allows proactive planning and responsiveness aided by document sharing, which enhances at-sea experiences.
• Fair Scheduling: Personnel portals provide visibility to upcoming shift assignments and starter/departure dates, enabling crew members to set better expectations and prepare better.
• Career Development: Training logs help individuals take ownership of charting aspirational skilling, which is frequently desired yet difficult to self-manage previously.
• Transparency: Access to performance metrics, company guidelines, and peer benchmarks builds trust that hard work is recognized, raising engagement.

Also read:

• • Navigating the future: The advantages of vehicle tracking technology
  • Top 10 GPS tracking apps for seamless location monitoring
  • How is IoT changing the game for car GPS tracking

For the maritime industry

Optimized operations and satisfied talent pipelines through modernized software systems uplift maritime navigation positively:

• Enhanced Safety: Incident documentation builds risk awareness insights, preventing recurrences, while geospatial vessel monitoring enables rapid support responses when unpredictable events occur offshore, minimizing danger.
• Environmental Responsibility: Software analytics identifies wastage reduction opportunities through route optimization, lowering fuel usage and emissions footprints, and advancing sustainability.
• Global Competitiveness: As vessels operate more efficiently, reliably, and responsibly, maritime transportation becomes compelling against airline/road freight competition, an overall industry win.

Choosing the right crew management software

Selecting the best crew management system for synchronizing ships and shoreside operations requires thoughtful evaluations weighing several key factors:

Company size and needs

Assess user counts across crews and land-based staff needing platform access to determine ideal tiered pricing models balancing robust function availability against budgets for sustained growth. Consider specialized operational constraints like union staff requirements, global payroll delivery over multiple currencies, or contract types needing configuration that correctly supports use case nuances. Seek customizable scalability matching current stage realities with flexible room-expanding capabilities as operations mature.

Features and functionality

The system must encompass essential maritime coordination technology stacks to drive value, including personnel documentation aids, two-way messaging, interactive shift planning calendars, safety protocol guidance, and integrated analytics conveying workflow transparency. Ensure platforms uniquely offer tools that address industry-specific challenges like seamless international mobility support across rapidly changing entry restrictions, qualifications recognition, and experiential crew level assessments rather than a one-size-fits-all software approach that is ill-equipped for realities facing ship management demands.

Ease of use

As vessels remain underway for extended periods, an intuitive user interface promotes rapid platform adoption, connecting onshore operations to active ships by allowing personnel quick self-service access to viewing shared data bulletins, scheduling changes, and pay information without excessive digital skills training demands. Complex systems with steep learning curves fail to drive consistent usage and negate intended benefits. Evaluate trialability options by testing inherent usability.

Integration

Data lies at the core of optimization, so seek platforms furnishing open application programming interfaces (APIs). These APIs enable deep two-way integrations with legacy backends like payroll software and onboard machinery sensors, facilitating system-wide data exchange. Manual duplicate entries across disjointed systems prove highly inefficient in the long term.

Vendor support & continuity

Service reliability directly governs platform uptime, so ascertain technical assistance response times across global regions matching ship operating footprints alongside client onboarding processes for new staff coming aboard over time. Review the vendor’s client portfolio and solution iteration roadmap, confirming sufficient capability investment for supporting continuity assurances and keeping the system adequately updated as regulations and maritime needs evolve over the years ahead. Ongoing success depends intensely on the crew software vendor’s long-term vision and viability.

While navigating the array of solutions promising streamlined coordination, thoroughly vet sustainability factors and specialized functionality areas that facilitate value creation unique to ship management workflows now and into the future. Partnering with enduring, proven maritime technology innovators brings peace of mind anchoring digitalization.

In conclusion
The efficiencies and risk reduction potential unlocked through purpose-built crew management software now represent integral infrastructure underpinning maritime operations excellence and continued business viability within an increasingly competitive industry.

Choose differentiated solutions delivering wide-ranging organizational enhancements that crews appreciate alongside bottom-line savings through automation that leadership values. Start your digitalization journey to sail ahead of rivals still relying on legacy approaches and quickly getting left behind by the maritime’s technology-driven future. Be committed fully to connecting teams across oceans and powering thriveable success.

The post Revolutionizing Maritime Operations: The Power of Crew Management Software appeared first on PC Tech Magazine.