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Software development is used to create software or applications in computer-coded and specific programming languages. It is a process of developing software by writing maintainable code. Software development means creating, planning, reusing, research and development, making things simple, broader usage, etc. Web development is the term used to create web applications or websites that need to get hosted. Web development means developing a complex web-based application as well as the development of simple and single-page applications.
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Software development gives the product with features that have been planned and required for the computer software. While developing software, developers should have specific knowledge of client requirements, programming language, and end-user’s-user usage.
Software development is based on the software development life cycle (SDLC).SDLC has many phases or stages: 1. Requirement Analysis and Planning. 2. Requirement defining. 3. Designing Requirements. 4. Building Application or Coding 5. Testing of Application 5. Implementation. 6. Deployment and Maintenance.
Software Development follows different methodologies for building the software or a development process: the waterfall model, the Iterative model, the Spiral Model, the Agile methodology, the prototype model, rapid application development, DevOps, etc.
Web development includes other work also, like content management, web designing, security, etc. The engineers who develop web applications are web developers, full-stack web developers, front-end developers, UI developers, and back-end developers.
Web development is based on the web development life cycle, similar to SDLC. In this, the phases are 1. Requirement gathering (Purpose, Goal, and audience) 2. Planning (Workflow creation) 3. Designing (Site page designing) 4. Content Management or Writing 5. Coding (building website) 6. Testing 7. Deployment, hosting, and maintainability.
Web development follows different methodologies to build or develop applications like Agile methodology. Breaking big tasks into minors and checking the continuous progress from beginning to end to design the web application is web development.Head to Head Comparisons Between Software Development and Web Development (Infographics) Key Differences between Software Development and Web Development
Software-developed applications mainly perform better in gaming and file handling. Web-developed applications perform better in data centralization or multi-user.
The critical difference between both Software Development and Web Development is a change of Interface.
In software development applications, customization has limitations. Web-developed applications have a more comprehensive range of customization.
In software development, screens are developed with static content. In web development, static pages, as well as dynamic web content, can be managed.
Software-developed applications can be used in a specific machine in which it has been installed.
The software-developed application does not need more security. We developed an application that requires more protection from viruses, malware, and data hackers.
Software-developed applications are not stateless. Web-developed applications are mainly stateless.
In software development, there are certain limitations to using technologies.Software Development and Web Development Comparison Table
Following is the list of points that show the comparison between Software Development and Web Development.
Basis of Comparison Software Development Web Development
Architecture Software-developed applications are client based only. Web-developed applications are client-server-based.
Designing Software design is generally simple and straight. Web design is mostly the graphic design of web content.
Programming In Software development, coding can be done without script language. In web development, scripting is mainly used for developing apps.
Hosting Developed software does not require hosting. Web Application needs to get hosted via the internet or intranet.
Robust Software applications are the most robust. Web-developed applications are not much robust.
Applications Software-developed application mainly refers to desktop application. Web-developed application refers to web applications or websites.
Platform In Software development, Applications are developed for a specific platform. In web development, web applications are developed for cross-platform.
Software applications are mainly static. Web applications are mainly developed with dynamic pages.Conclusion
Software development means growing Windows-based applications and Web development means developing web-based applications. Software development and Web development have used a standard set of software and web designing rules to create more secure, reliable applications with better performance.Recommended Articles
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Artificial intelligence is undeniably no longer a buzzword in the web development space. Sure, the vast majority of web developers can have a lucrative career without ever touching AI. But in an industry where tools can decide your place in the competition, you can’t afford to be left out when it comes to the strides of AI in web development. As long as you understand the different roles of AI in specific web development workflows, it’s only a matter of finding the right tools that will give your ideas some legs. Now that we got that out of the way, let’s dig into some of the functions of AI in web development.1. Design Automation
Perhaps the most straightforward application of AI in web development can be found in platforms that “automate” the early design process based on the preferences set by users. Sure, platforms have been offering customizable It works by asking you a series of questions regarding your website goals. By the end of the initial setup process, • Bookmark Similar to Wix, uses AI to speed up the early design process by having the user to answer questions. They call the program Artificial Intelligence Design Assistant or AiDA for short. • The Grid The Grid is an AI website builder that focuses on the content you upload. Molly — the AI designer of the platform — works by learning design patterns from users 24/7. • Jimdo Dolphin Lastly, is another implementation of automated web design through AI. It will also provide you with different customizable design options to get the ball rolling.2. Integrating AI Into Your SaaS Product
If you’re a SaaS business, integrating AI-powered features into your website has to do with personalization. Many services like e-commerce and CRM platforms preemptively ask several questions upon registration to tailor the experience to your objectives. You may encounter questions pertaining to the number of employees in your organization, your niche, your target keywords, and so on. For tools used in web development, a questionnaire during the account creation process may sound like a simplistic customization feature. Even so, it can significantly accelerate the web development process by showing you the platform’s most relevant features. There are also countless cloud-based services that assimilate user data and recognize patterns to constantly improve the user experience. You, too, may3. Using AI to Augment Your Content & Traffic Channels
If you’re a one-man developer working on your own website, there are two things you need to handle when it comes to your content: development and promotion. Both fronts can be improved with AI, especially if you choose to go beyond traditional blog posts and spice up your content mix. That’s where AI steps in and enhance your ad targeting efforts, which is already implemented by a number of display networks like4. Transform Hand-Drawn Sketches Into Code
For years, we’ve seen platforms that enabled non-programmers to develop professional-looking websites from scratch — without writing a single line of code.
Since the code itself can be downloaded, Sketch2Code can be an excellent starting point for web development projects. It doesn’t matter if you’re an aspiring website owner with zero coding experience or a veteran developer. Sketch2Code will help you save a significant amount of time giving your web design ideas some legs. The technology works using five different components — the most notable ones being the Microsoft Custom Vision Model and Computer Vision Service. Put simply, the Microsoft Custom Vision Model is an AI trained to recognize HTML elements like text boxes and buttons from hand-drawn designs. The Microsoft Computer Vision Service, on the other hand, is capable of reading text and translating them into design elements. Sketch2Code also utilizes a couple of5. Utilize Machine Learning for Cyber Security
Although cybersecurity know-how doesn’t have to be in a web developer’s skillset, it’s an excellent factor that would make them stand out. Of course, it’s the owner’s prerogative to choose the cybersecurity tools to keep your website safe from hackers. But if you’re developing your own website, you should ensure the usual blend of a web application firewall, antivirus, and SSL certification. You should also go with a platform that can match the adaptive nature of online threats. AConclusion
As AI technology progresses each year, we observe more and more disruption in major industries.
Matt Mullenweg, developer of WordPress and CEO of Autommatic, proposed no longer adding new features to the WordPress, pivoting instead to a plugin-first policy.
This new approach to the future of WordPress has already resulted in a new feature intended for the next version of WordPress to be dropped entirely.
Canonical plugins are said to offer a way to keep improving WordPress on a faster schedule.
But some WordPress core contributors expressed the opinion that publisher user experience may suffer.Canonical Plugins
First discussed in 2009, canonical plugins is a way to develop new features in the form of plugins.
The goal of this approach is to keep the WordPress core fast and lean while also encouraging development of experimental features in the form of plugins.
The original 2009 proposal described it like this:
“Canonical plugins would be plugins that are community developed (multiple developers, not just one person) and address the most popular functionality requests with superlative execution.
…There would be a very strong relationship between core and these plugins that ensured that a) the plugin code would be secure and the best possible example of coding standards, and b) that new versions of WordPress would be tested against these plugins prior to release to ensure compatibility.”
This approach to features and options is also referred to as Plugin First, to emphasize how features will first appear in the form of plugins.
These plugins are called canonical because they are developed by the WordPress core development team as opposed to non-canonical plugins that are created by third parties that might limit features in order to encourage purchase of a pro-version.
Integration of canonical plugins into the WordPress core itself would be considered once the plugin technology has proven itself to be popular and essential to the majority of users.
The benefit of this new approach to WordPress would be to avoid adding new features that might not be needed by the majority of users.
Plugin-first could be seen to be in keeping with the WordPress philosophy called Decisions, Not Options, which seeks to avoid burdening users with layers of technical options.
By offloading different features and functionalities to plugins, a user won’t have to wade through enabling or disabling functionalities they need, don’t need or don’t understand.
The WordPress design philosophy states:
“It’s our duty as developers to make smart design decisions and avoid putting the weight of technical choices on our end users.”Canonical Plugins the Future?
Matt Mullenweg published a post titled, Canonical Plugins Revisited, in which he made the case that this is the way that WordPress should be developed moving forward.
“We are reaching a point where core needs to be more editorial and say “no” to features coming in as ad hoc as they sometimes do, and my hope is that more Make teams use this as an opportunity to influence the future of WordPress through a plugin-first approach that gives them the luxury of faster development and release cycles (instead of three times per year), less review overhead, and and path to come into core if the plugin becomes a runaway success.”
The first casualty of this new approach is the cancellation of integrating WebP image conversion into the next version of WordPress, WordPress 6.1, currently scheduled for November 2023.Plugin-First is Controversial
Some developers, such as core contributor Jon Brown, expressed reservations about the proposal to switch to developing with canonical plugins.
“The problem remains that there are too many complicated plugins standing in for what would be a simple optional feature.
Plugins are _not_ a user-friendly option to core settings. First users have to discover there is a plugin, then they have negotiated yet another settings screen and updates and maintenance of that plugin.”
They noted that having one canonical plugin to solve a problem is preferable to the current state where desirable options can only be found on bloated third party plugins.
But they also said that having a settings option within core, without the need for a plugin, could present a better user experience.
“Now, I do think Canonical plugins are a better situation than 6+ bloated plugins like exist here, but so would a single checkbox added to the settings page in core to do this. Which would further improve the UX and discovery issues inherent in plugins.”
“Canonical plugins” seems like a weaponized tool to derail discussions the same way “decisions not options” has become for years.”
That last statement is a reference to frustrations felt by some core contributors with the inability to add options for features because of the “decisions, not options” philosophy.
Others also disagreed with the plugin-first approach:
“Canonical plugin sounds grand but it will further increase maintenance burden on maintainers.
In my opinion, it’s no go.
It will be much more better to include some basic features in core itself instead of further saying – It’s a good place for plugin.”
Someone else pointed out a flaw in plugin-first in that collecting user feedback might not be easy. If that’s the case then there might not be a good way to improve plugins in a way that meets user needs if those needs are unknown.
“How can we better capture feedback from users?
Unless site owners are knowledgeable enough to report issues on GitHub or Trac (let’s be honest, no one reports plugin issues on Trac), there’s really no way to gather feedback from users to improve these recommended/official plugins. “Canonical Plugins
An early indicator will be in what happens with the cancelled WebP feature that was previously intended to be integrated into the core and will now become a plugin.
Featured image by Shutterstock/Studio Romantic
Best GPU for game development
Develop your next game with the best GPUs on the market
Game development is a complex and challenging process that requires a powerful computer system, including a high-performance graphics card or GPU.
The GPU is responsible for rendering graphics, animations, and visual effects, which are crucial elements in creating immersive and visually appealing games.
In this article, we’ll take a closer look at some of the best GPUs for game development currently available, highlighting their strengths and weaknesses.
Whether you’re a professional game developer or an enthusiast, this guide will help you choose the right GPU to suit your needs and budget. So, let’s dive in and explore the top GPUs for game development.
Products at a GlanceFeatures and considerations
When selecting a GPU for game development, there are several factors to consider. One of the most critical is the GPU’s raw power or processing capability, which is typically measured in clock speed, number of cores, and memory bandwidth.
The more powerful the GPU, the faster it can render and process complex graphics and visual effects. Therefore, it is an essential consideration for game developers who work with high-end game engines and create demanding graphical content.
Another crucial factor to consider is the GPU’s compatibility with the game engine and software tools you’ll be using. Different game engines and software tools have specific hardware requirements. Selecting a GPU that is compatible with the tools you use is critical to ensure optimal performance and productivity.
Additionally, the GPU’s memory capacity is also an essential consideration. This affects how many textures, models, and other assets can be loaded into the game engine at once, which can impact the game’s overall performance and frame rate.
To have the best GPU for game development, you would need to consider speed and technology. Both AMD and Nvidia last-gen GPUs are capable of providing amazing performance. However, Nvidia provides improved results over AMD thanks to their ray tracing abilities.
Best GPU for game development
3rd-gen DLSS and ray tracing
Fastest GPU currently available
Excellent for content creation
Extreme pricing and power
Ray tracing is a computationally intensive process, but the RTX 4090’s impressive hardware specs, including 16,384 CUDA cores and 24GB of GDDR6X memory, enable it to handle ray tracing with ease.
Additionally, the RTX 4090 also supports DLSS 3.0 technology, which uses AI to upscale lower-resolution images to higher resolutions while maintaining image quality and improving performance.
The ASUS ROG Strix RTX 4090 OC is a top-tier variant of the RTX 4090, featuring a boost core clock speed of 2,640 MHz and a high TDP of 450W, which can make it challenging to cool and power, requiring a robust cooling solution and a high-wattage power supply unit.
The MSRP of $1,599 also makes it a high-end investment, but for those who require top-of-the-line performance, the RTX 4090 can be an ideal choice.
The fasted AMD GPU
Great power efficiency
The chiplet design is amazing
Weak Ray tracing and DLSS
The ASUS TUF Radeon RX 7900 XTX OC is another great choice for game development. It has impressive performance specs that can handle demanding applications with ease. With a base clock speed of 1,895 MHz and a boost clock speed of 2,565 MHz, this GPU provides a high level of processing power for game developers to work with.
The 6,144 stream processors and 24GB of GDDR6 memory make this GPU a suitable choice for even the most demanding game development applications.
Additionally, the GPU’s dimensions of 352.9 x 158.2 x 72.6 mm make it compatible with most PC cases. And, its required 850W power supply ensures stable power delivery.
One of the standout features of the ASUS TUF Radeon RX 7900 XTX OC is its reasonable TBP of 355W. It strikes a balance between performance and energy efficiency. This means that the GPU can deliver powerful processing capabilities while still operating efficiently and without overheating.
Overall, the ASUS TUF Radeon RX 7900 XTX OC is a strong contender in the GPU market. Due to its impressive processing power, ample memory, and reasonable power requirements.
Game developers looking for a high-performance GPU that can handle demanding applications should definitely consider the ASUS TUF Radeon RX 7900 XTX OC.
Fast frequency speed
Great power efficiency
Excellent ray tracing performance
Packs all the Ada Lovelace enhancements
High price without the halo performance of the 4090
Needs DLSS 3 to truly shine in gaming performance
The Gigabyte AORUS MASTER GeForce RTX 4080 16GB is another high-end GPU. It is a strong contender for game development, along with other demanding applications. Its boost clock speed of 2550 MHz is one of the fastest clock speeds available. This translates to extremely fast processing power for any application that requires it.
The RTX 4080 boasts 7680 CUDA cores and 12GB of GDDR6X VRAM. Which is plenty of processing power and memory for most game development applications.
However, it’s important to note that the RTX 4080 does require a high-wattage power supply. At least 850W and has a TDP rating of 320W. This means that it will draw a lot of power and generate a lot of heat. So, it’s crucial to have a reliable cooling solution in place.
In terms of connectivity, the RTX 4080 features a 1 x 12-pin power connector, 1 x HDMI 2.1, and 3 x DisplayPort 1.4a. Providing users with a variety of options to connect to different displays and setups. This can be particularly useful for game developers who need to work with multiple displays to test and refine their games.
Overall, the Gigabyte AORUS MASTER GeForce RTX 4080 16GB is an excellent choice for game developers and power users who require a high-performance GPU. Its fast clock speed, ample processing power and memory, and multiple connectivity options make it a top contender in the GPU market.
Amazing 4K gaming performance
It uses Tensor cores
The ASUS ROG Strix RTX 3090 OC is a high-end graphics card that can handle even the most intensive game development applications. With 24GB of GDDR6X VRAM and a whopping 10,496 CUDA cores – this GPU delivers exceptional processing power and speed.
The ROG STRIX OC is optimized for high-speed gaming. With a boost clock speed of 1,935 MHz and a memory clock speed of 19.5 Gbps, it ensures that game developers can work on their applications with smooth and seamless performance.
Additionally, the GPU’s dimensions of 318.5 x 140.1 x 58.7 mm make it compatible with most PC cases. The required 750W power supply ensures stable power delivery.How do we pick the best GPU for game development? Determine your budget
GPUs can vary widely in price, from budget-friendly options to high-end models that can cost several thousand dollars. Knowing how much you can spend will help you narrow down your options and focus on GPUs that fit your budget.Identify your requirements
Consider the type of games you’ll be developing, the game engines you’ll be using, and the software tools you’ll need to run. Take into account the GPU’s processing power, memory, and compatibility with your tools to ensure optimal performance.Research GPUs
Look for reviews, benchmarks, and user feedback to get an idea of how well different GPUs perform in game development scenarios. Pay attention to factors like clock speed, core count, memory bandwidth, and memory capacity. As well as cooling, power requirements, and form factor.Compare GPUs
Consider factors like price, performance, power consumption, and noise levels. Then weigh up the pros and cons of each GPU. Keep in mind that the most expensive GPU may not always be the best choice, as it may not offer the best value for your specific needs.Make a decision
After researching and comparing GPUs, it’s time to make a decision. Don’t forget to factor in any additional costs like cooling solutions, power supplies, and other hardware that may be required to run the GPU effectively.Our Verdict
Editor’s choiceASUS ROG Strix RTX 4090 OC
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If you’re looking for the ultimate performance and cutting-edge features, the RTX 4090 is the top choice. The Gigabyte AORUS MASTER RTX 4080 is a close second. Due to its lightning-fast clock speeds and a generous amount of VRAM.
Ultimately, the best GPU for game development will depend on your specific needs and budget. By taking into account the factors we’ve discussed, you’ll be well-equipped to make an informed decision and choose the right GPU for your needs.
For successful development of mobile apps the whole process of development goes through different phases to make sure that the user finds the app the best fit.
The applicable steps, stages and phases that the mobile app development company must follow are as follows:Different phases of Mobile App Development
Mobile app ideation phase
The first phase towards developing a mobile app is summarizing the whole idea of creating an app.
Know the targeted audience and what features are to be included and what not.
Knowing the requirements of the users and working accordingly will help you get the desired results from the app.
Getting solutions and thinking from both the views of the parties will provide the perfect solution in the creation of the app.
The questions that need to be answered are the features that are to be included in the app whether it is discussing the user interface, integrated infrastructure and all the things that decides the value of the apps.
Some specifications that make the app unique and different from all the other apps with the same functionality should be noted and implemented.
Mobile app design phase
The mobile app design phase is the second phase in the development process where the nature of the app is to be discussed which further decides overall design of the app.
The type of platform to be adopted for the app gets decided in this phase of development.
When the designer team comes along to work with the developmental team they know the platform which needs to get laid as they both know the project requirements and the needs of the audience.
Through workflow designs, charts and distribution of responsibilities further gets more clarified.
Defining and assigning the different roles and responsibilities with developers and designers helps in speeding up the whole process of development.
The blueprints of the app get finalized in this process and developers manage all the things with regards to including the features in the app or to use the basic features.
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Mobile App development phase
The mobile app development is more technical and the phase also defines the technicality of its structure, stack and milestones.
The three major parts in development of the mobile apps are:
Back end server technologies
Back-end refers to the database which is indirectly accessed by the users without their acknowledgement. The back end code includes more than two programming languages.
Application programming interface is the communication that takes place between the app and the back-end database.
It refers to the vernacular mobile app part that the ultimate user utilizes randomly and regularly.
Mobile apps must possess an user friendly approach that manages API’s and back-end perfectly to manage the provided data.
Mobile App testing phase
Through successfully completing the developmental phase and cleaning all the errors which were earlier faced in the developmental stage makes the apps more user friendly and appropriate.
The software for the apps needs to get tested in this stage of development. By testing the software we can fix the bugs and errors in the code and programs before the launch of the app.
Repetitive tests and accurate reviews helps the developers and designers to know that everything is in the calibration.
The app often goes for much hard testing to make sure that the components and rest of the software things are functioning well and according to the needs.
The potentiality of the app after the tests decides the launch of the app on the store.
Mobile app deployment stage
After discussing the basic idea of the app, designing, developing and testing. The next step is to deploy the mobile app.
The apps have successfully passed all the tests and have generated positive reviews for its functionality.
Immediately when the app gets certification and is ready for its deployment. The sales and marketing team comes into the picture where they promote the app before its actual launch to generate more curiosity among the individuals.
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Mobile app maintenance and update
On the functioning side of the customers after the few months of the launch of the app.
The apps are required to get first hand user experience, collect its important functions, performance data, provide necessary updates and its technical evaluation gets done.
Also read: Best 10 Semrush Alternative for 2023 (Free & Paid)Summing up
Every phase in the mobile app development industry is comprehensive and broad for its excellence and functionality.
Developing an application which perfectly matches the needs of the users along with achieving the objectives of the apps must be dealt accurately.
The future of the apps will depend on the developers whether they can fix the bugs and errors before its launch.Vishal Virani
Vishal Virani is a Founder and CEO of Coruscate Solutions, a leading Uber-like taxi app development company. He enjoys writing about the vital role of mobile apps for different industries, custom web development, and the latest technology trends.
The transformation of products into intelligent, connected devices which are increasingly embedded in broader systems is radically reshaping companies and competition today. These products offer new functionalities and capabilities that transcend traditional product horizons. Smart, connected products require a fundamental rethinking of design and production processes. A company that is pioneering the development and application of simulation technology to synthesize and optimize designs, processes, and decisions is Altair.
Altair is a leading provider of enterprise-class engineering software, enabling innovation across the entire product lifecycle from concept design to in-service operation. The company’s simulation-driven approach to innovation is powered by its broad portfolio of high-fidelity and high-performance physics solvers. Altair’s integrated suite of software optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling, and embedded systems, while also providing data analytics and true-to-life visualization and rendering.
Altair’s vision is to transform design and decision-making by applying simulation, machine learning, and optimization throughout product life cycles. With more than 2,000 employees, Altair is headquartered in Troy, Michigan, USA and operates 69 offices throughout 24 countries. Altair serves more than 5,000 customers across broad industry segments globally.
Altair believes a critical component of its success has been the company culture, based on its core values of innovation, envisioning the future, communicating honestly and broadly, seeking technology and business firsts, and embracing diversity. The company truly believes this culture is important because it helps attract and retain top people, encourages innovation and teamwork, and enhances its focus on achieving Altair’s corporate objectives.
Accelerating Innovation with Simulation and Analytics
The engineering software industry is challenged by increasingly sophisticated design requirements and enabled by the ever-expanding availability of cost-effective computing power. The Internet of Things (IoT) is also changing engineering by broadening the scope of Product Lifecycle Management, or PLM, affording the opportunity to leverage simulation and analytics towards the development of “digital twins” to optimize product performance and manufacturing throughput, predict failure, and schedule maintenance operations for in-service equipment.
Altair works at the convergence of IoT, analytics, and model-based designing to offer groundbreaking solutions to designing, manufacturing and servicing products across industries. Moreover, the company pioneered a patented units-based subscription licensing model for software and other digital content. This units-based subscription licensing model allows flexible and shared access to all of its offerings, along with over 150 other partner products.
Meet the Innovative Leaders
James R. Scapa has 40 years of engineering experience that he brings to Altair as both Chairman and CEO of the company. He has held the position as CEO since the company first began. What started off as a small consulting company in the “new” field of computer-aided-engineering has turned into a successful engineering software firm with over 5,000 clients. Through Scapa’s leadership, the company is now a leading global provider of simulation technology and engineering services that empower client innovation and decision-making.
Prior to establishing Altair, Scapa served as an engineering consultant to the automotive industry, beginning his career with Ford Motor Company in 1978. He holds a bachelor’s degree in mechanical engineering from Columbia University and a Masters of Business Administration from the University of Michigan.
Leading the Cloud and HPC technology arc of Altair is Srikanth (Sam) Mahalingam. He is the Chief Technical Officer for Altair’s cloud computing and high-performance computing strategy, with the primary responsibility of applying the newer cloud and mobile technologies to the digital simulation, high performance computing world and identifying and mentoring talented individuals within the organization.
With more than 20 years of experience in software development, software architecture, technical management, and project management, Mahalingam’s role focuses on shaping the current products and identifying newer products and solutions to ease the cloud adoption and mobile strategies for Altair customers both in the Simulation Lifecycle Management and High-Performance Computing Lifecycle Management arenas.
Mahalingam joined Altair in 1994 and worked on various products and projects both in the custom services and product teams. He then joined a technology start-up as a joint promoter for launching a disruptive virtual try-on product into the market that was later acquired by a large software services firm in India. He rejoined Altair in 2005 to spearhead newer product initiatives that includes the cloud platform and eventually became the thought leader within Altair for the Enterprise Software Strategy.
Mahalingam holds a bachelor of engineering degree in Computer Science and Engineering and executive masters of business administration from the Indian School of Business.
Data Analytics and Business Intelligence Work Together
Data analytics is an essential part of the business intelligence (BI) industry. Altair helps organizations maximize the value of their data in order to articulate their business goals and make analytics an integral part of the business model. Altair offers Carriots Analytics to assist in this process. Architected for an optimized self-service user experience, Carriots Analytics speeds up data visualization, exploration, and discovery.
As the BI industry continues to grow quickly, data analytics is becoming essential to an organization’s daily strategy. Altair expects the new challenge for companies is to bring together data and make it accessible to the entire organization. Continued growth will soon make BI a standard part of any organization’s business plan.
Technology Trends That Will Drive Business Forward
We’re seeing an acceleration of IoT (Internet of Things) adoption across almost every industry.
The expansion of virtual prototypes or development models, as they have been used for many years – with digital sensor data from operation and the derivation of prediction models – do not only offer the opportunity for the next step towards true to reality simulation models helping to create better products. When implementing strategies for a digital transformation, two factors to consider are integration and transparency of information. In addition, technical assistance systems help to assess, visualize and communicate the gained information, to base an educated decision on them and to be able to solve occurring problems faster.
Predictive analytics and machine learning are frequently used in Industrial IoT (IIoT) applications such as predictive maintenance, performance optimization, or digital twins of assets. This complex area of work requires combining artificial intelligence (AI) technologies with analytics and IoT. For example, manufacturing companies are interested in transforming raw data from sensors into valuable data for BI tools and if possible, into decision-making software or even autonomous systems.
IoT dedicated networks, IIoT and implementation of predictive analytics and machine learning algorithms are the fastest growing segments in the industry. “IoT is a key component of the 4th industrial revolution and is constantly growing and changing. Between dedicated IoT networks, the growth of IIoT, and implementing predictive analytics and machine learning, there are a lot of trends to watch out for this year” says Mahalingam.
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