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Laplace Transform

The Laplace transform is a mathematical tool which is used to convert the differential equation in time domain into the algebraic equations in the frequency domain or s-domain.

Mathematically, if \$mathrm{mathit{xleft ( t right )}}\$ is a time domain function, then its Laplace transform is defined as,

\$\$mathrm{mathit{Lleft [ xleft ( t right ) right ]mathrm{, =,}Xleft ( s right )mathrm{, =,}int_{-infty }^{infty }xleft ( t right )e^{-st}:dt ; ; cdot cdot cdot left ( mathrm{1} right )}}\$\$

Equation (1) gives the bilateral Laplace transform of the function \$mathrm{mathit{xleft ( t right )}}\$. But for the causal signals, the unilateral Laplace transform is applied, which is defined as,

\$\$mathrm{mathit{Lleft [ xleft ( t right ) right ]mathrm{, =,}Xleft ( s right )mathrm{, =,}int_{mathrm{0} }^{infty }xleft ( t right )e^{-st}:dt ; ; cdot cdot cdot left ( mathrm{2} right )}}\$\$

Laplace Transform of Periodic Functions

The Laplace transform of periodic functions can be determined by using the time shifting property [\$mathrm{i.e.,mathit{, xleft ( t-T right )mathrm{, =,}e^{-sT}Xleft ( s right )}}\$]. Consider a causal periodic where T is the time period of \$mathrm{mathit{xleft ( t right )}}\$ and n = 0, 1, 2,….

Now, from the definition of Laplace transform, we have,

\$\$mathrm{mathit{Lleft [ xleft ( t right ) right ]mathrm{, =,}Xleft ( s right )mathrm{, =,}int_{mathrm{0}}^{infty }xleft ( t right )e^{-st}dt; ; cdot cdot cdot left ( mathrm{3} right )}}\$\$

The above expression can also be written as,

\$\$mathrm{mathit{Xleft ( s right )mathrm{, =,}int_{mathrm{0}}^{T }xleft ( t right )e^{-st}dtmathrm{, +,}int_{T}^{mathrm{2}T }xleft ( t right )e^{-st}dtmathrm{, +,}int_{mathrm{2}T}^{mathrm{3}T }xleft ( t right )e^{-st}dtmathrm{, +,}cdot cdot cdot mathrm{, +,}int_{nT}^{left ( nmathrm{, +,}mathrm{1} right )T }xleft ( t right )e^{-st}dtmathrm{, +,}cdot cdot cdot }}\$\$

\$\$mathrm{mathit{Rightarrow Xleft ( s right )mathrm{, =,}int_{mathrm{0}}^{T }xleft ( t right )e^{-st}dtmathrm{, +,}e^{-st}int_{mathrm{0}}^{T }xleft ( tmathrm{, +,}T right )e^{-st}dt}}\$\$

\$\$mathrm{mathit{mathrm{, +,}e^{-mathrm{2}sT}int_{mathrm{0}}^{T }xleft ( tmathrm{, +,}mathrm{2}T right )e^{-st}dtmathrm{, +,}cdot cdot cdot }}\$\$

\$\$mathrm{mathit{mathrm{, +,}e^{-nsT}int_{mathrm{0}}^{T }xleft ( tmathrm{, +,}nT right )e^{-st}dtmathrm{, +,}cdot cdot cdot : : cdot cdot cdot left(mathrm{4} right )}}\$\$

As the function \$mathrm{mathit{xleft ( t right )}}\$ is a periodic function, therefore,

\$\$mathrm{mathit{xleft ( t right )mathrm{, =,}xleft ( tmathrm{, +,}T right )mathrm{, =,}xleft ( tmathrm{, +,}mathrm{2}T right )mathrm{, =,}cdot cdot cdot}}\$\$

Hence, the equation (4) can be written as

\$\$mathrm{mathit{Xleft ( s right )mathrm{, =,}int_{mathrm{0}}^{T }xleft ( t right )e^{-st}dtmathrm{, +,}e^{-st}int_{mathrm{0}}^{T }xleft ( t right )e^{-st}dtmathrm{, +,}e^{-mathrm{2}st}int_{mathrm{0}}^{T }xleft ( t right )e^{-st}dtmathrm{, +,}cdot cdot cdot }}\$\$

\$\$mathrm{mathit{mathrm{, +,}e^{-nst}int_{mathrm{0}}^{T }xleft ( t right )e^{-st}dtmathrm{, +,}cdot cdot cdot }}\$\$

\$\$mathrm{mathit{Rightarrow Xleft ( s right )mathrm{, =,}left [ mathrm{1}mathrm{, +,}e^{-sT}mathrm{, +,}e^{-mathrm{2}sT}mathrm{, +,}cdot cdot cdot mathrm{, +,}e^{-nsT}mathrm{, +,}cdot cdot cdot right ]int_{mathrm{0}}^{T}xleft ( t right )e^{-st}dt; ; left ( mathrm{5} right )}}\$\$

Using the binomial series expansion, we can write,

\$\$mathrm{mathit{Xleft ( s right )mathrm{, =,}left [ mathrm{1}-e^{-sT} right ]^{mathrm{-1}}int_{mathrm{0}}^{T}xleft ( t right )e^{-st}, dt}}\$\$

\$\$mathrm{mathit{therefore Xleft ( s right )mathrm{, =,}frac{mathrm{1}}{left [ mathrm{1}-e^{-sT} right ]}X_{mathrm{1}}left ( s right ); ; cdot cdot cdot left ( mathrm{6} right )}}\$\$

Where,

\$\$mathrm{mathit{X_{mathrm{1}}left ( s right )mathrm{, =,}int_{mathrm{0}}^{T}xleft ( t right )e^{-st}, dt; ; ; cdot cdot cdot left ( mathrm{7} right )}}\$\$

The \$mathrm{mathit{X_{mathrm{1}}left ( s right )}}\$ is the Laplace transform of the first period of the time function. The eqn. (6) represents the periodicity property of the Laplace transform.

Numerical Example

Find the Laplace transform of function \$mathrm{mathit{xleft ( t right )mathrm{, =,}mathrm{sin}, pi t, uleft ( t right )}}\$ using periodicity property of Laplace transform.

Solution

The given function is,

\$\$mathrm{mathit{xleft ( t right )mathrm{, =,}mathrm{sin}, pi t, uleft ( t right )}}\$\$

The given signal is a periodic signal with a time period of T which is given by,

\$\$mathrm{mathit{Tmathrm{, =,}frac{mathrm{2}pi }{omega }mathrm{, =,}frac{mathrm{2}pi }{pi }mathrm{, =,}}2: sec}\$\$

Now, by using the periodicity property of Laplace transform, we have,

\$\$mathrm{mathit{Lleft [ xleft ( t right ) right ]mathrm{, =,}Xleft ( s right )mathrm{, =,}frac{mathrm{1}}{left [ mathrm{1}-e^{-mathrm{2}s} right ]}int_{mathrm{0}}^{mathrm{2}}mathrm{sin}, left ( pi t right )e^{-st}, dt}}\$\$

\$\$mathrm{mathit{Rightarrow Xleft ( s right )mathrm{, =,}frac{mathrm{1}}{left [ mathrm{1}-e^{-mathrm{2}s} right ]}int_{mathrm{0}}^{mathrm{2}}left ( frac{e^{j, pi t}-e^{-j, pi t}}{mathrm{2}j} right )e^{-st}, dt}}\$\$

\$\$mathrm{mathit{Rightarrow Xleft ( s right )mathrm{, =,}frac{mathrm{1}}{left [ mathrm{1}-e^{-mathrm{2}s} right ]}left [frac{mathrm{1}}{mathrm{2}j} left{ int_{mathrm{0}}^{mathrm{2}} e^{j, pi t}e^{-st}, dt-int_{mathrm{0}}^{mathrm{2}}e^{-j, pi t}e^{-st}, dtright} right ]}}\$\$

\$\$mathrm{mathit{Rightarrow Xleft ( s right )mathrm{, =,}frac{mathrm{1}}{left [ mathrm{1}-e^{-mathrm{2}s} right ]}left [frac{mathrm{1}}{mathrm{2}j} left{ int_{mathrm{0}}^{mathrm{2}} e^{-left (s- j, pi right ) t}, dt-int_{mathrm{0}}^{mathrm{2}}e^{-left ( smathrm{, +,}j, pi right ) t}, dtright} right ]}}\$\$

\$\$mathrm{mathit{Rightarrow Xleft ( s right )mathrm{, =,}frac{mathrm{1}}{left [ mathrm{1}-e^{-mathrm{2}s} right ]} left{frac{mathrm{1}}{mathrm{2}j}left [ frac{e^{-left (s- j, pi right ) t}}{-left ( s-jpi right )}-frac{e^{-left ( smathrm{, +,}j, pi right ) t}}{-left ( smathrm{, +,}jpi right )} right ]_{mathrm{0}}^{mathrm{2}}right}}}\$\$

On solving the limits, we get,

\$\$mathrm{mathit{Xleft ( s right )mathrm{, =,}frac{mathrm{1}}{left [ mathrm{1}-e^{-mathrm{2}s} right ]}left{frac{mathrm{1}}{mathrm{2}j}left [ frac{-left ( smathrm{, +,}jpi right )left [e^{-mathrm{2}left ( s-jpi right )t}-mathrm{1} right ]mathrm{, +,}left ( s-jpi right )left [e^{-mathrm{2}left ( smathrm{, +,}jpi right )t}-mathrm{1} right ]}{s^{mathrm{2}}mathrm{, +,}pi ^{mathrm{2}}} right ] right}}}\$\$

\$\$mathrm{mathit{Rightarrow Xleft ( s right )mathrm{, =,}frac{mathrm{1}}{left [ mathrm{1}-e^{-mathrm{2}s} right ]}left [ frac{pi left ( mathrm{1}-e^{mathrm{-2}s} right )}{s^{mathrm{2}}mathrm{, +,}pi ^{mathrm{2}}} right ]}}\$\$

\$\$mathrm{mathit{therefore Xleft ( s right )mathrm{, =,}left [ frac{pi}{s^{mathrm{2}}mathrm{, +,}pi ^{mathrm{2}}} right ]}}\$\$

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## The Age Of Graphene And How It Will Transform Our Mobile Experiences

Graphene: a first of its kind material

University of Manchester

Dr Oikonomou observing graphene flakes through a microscope.

On top of light weight and resistance, graphene has some striking properties which we explore below.

Graphene: Is it the superhero we’ve been waiting for?

The research on various properties and applications of graphene so far suggests that its potential could literally be limitless. In the field of mobile technology, graphene applications range from transparent and flexible screens to next-generation batteries which could last much longer than anything we have experienced so far, to immensely powerful processors.

Graphene-based supercapacitor batteries

cheap supercapacitors could enable batteries that last for much longer and charge almost instantly

Better battery technology is sorely needed. Thanks to graphene, cheap supercapacitors could enable batteries that last for much longer and charge almost instantly. Such developments would be better for the user experience, but also for the environment. The electricity that we store will be used much more efficiently (and hopefully help us save money on bills). Additionally, battery manufacturing will depend on more ecologically friendly and naturally abundant resources, instead of lithium.

Flexible/foldable screens

University of Manchester

Researcher from University of Manchester working on graphene applications

Shall we say goodbye to the silicon chip?

The research on the electric conducting properties of graphene suggests that its semiconducting properties at room temperature could be manipulated to achieve super-conductance (for example by adding controlled impurities to its natural honeycomb structure). These findings suggest that applications of graphene could particularly be in high demand for various computing technologies, improving speed and efficiency (particularly reducing heating issues). There is more and more research emerging in this field, and the results consistently demonstrate that applications of layers of graphene significantly enhance the thermal performance of microprocessors. In studies, scientists made to reduce operating temperatures by more than 13°C, with every 10°C improvement doubling the energy efficiency. Yes, this means that graphene and other newly discovered 2D materials will eventually transform the silicon chip!

Some of our readers might be thinking, “OK, we all heard rumours about the overheating issues in the first generation of Snapdragon 810, which were later resolved in the second-generation of the SoC, which runs devices such as Nexus 6P and Sony Xperia Z5 series. So what is the big deal about this research and why should we get excited about it?”

The potential of graphene is beyond any significant improvements we observe from one generation of smartphones to the next. Graphene has the potential to transform the landscape of supercomputing in fields such as global climate prediction (consider that global warming is creating more entropy in micro- and macro-climate systems, making predictions more computationally heavy and difficult), space science, big data analysis, and research on artificial intelligence. These are all fields where more computational power and higher efficiency will always be in high demand.

University of Manchester

Graphene could be used for electronics embedded in contact lenses

With Internet of Things (IoT) emerging in the last decade, enhancing information processing and connectivity speeds will also transform our daily lives. Hopefully, we will be more likely to stay on top of things in our increasingly hectic and stressful lives. Graphene’s super-conductance property will be one of the key features that will help us achieve higher data processing speeds.

The smartphone as we know it is likely to maintain its form factor and we do not expect massive improvements in speed in every day operation, simply because current processors are already very fast. However, with applications of graphene making their way to market, it’s simple to envision devices like a feather-light version of Google Glass or a smartwatch that’s not 1.2 centimeters in thickness (remember the recently introduced Tag Heuer Connected?) accompanying smartphones. Of course, all device will be efficiently connected and communicating with each other.

Ancient inspiration

Combining such pyramidal structures with high-end resistors from the tip down the base, it could be fairly straightforward to design gates which will channel high speed information flow within microchips.

Wrap up

## Using Entrepreneurship To Transform Student Work

As my colleagues and I were building curriculum for our ninth grade project-based program, we found that most of our conversations centered not on potential projects themselves, but rather on building student self-motivation and self-mastery. We realized that our program’s measure of success was whether the students learned to take charge of their own learning and find a joy in it.

I had made the switch from more traditional teaching to project-based learning partly because I saw how PBL greatly increased student engagement and curiosity. However, I still wanted my students to feel an authentic, self-starting kind of drive — the sort of thing we see when kids are playing sports, making music, or doing anything that stems from personal passion — in other words, the internal desire to continually improve and to work hard at doing it. They liked doing projects well enough, but were still not personally connected enough to the work — or doing more than “just good enough.” I wanted to find something they would look forward to doing when they weren’t in my class, and something they would want to master, rather than just doing “good enough.”

This project brought the real-world commitment we’d been searching for. While it’s true that we cannot predict the world our students will graduate into, we were able to model our classroom on the way small, successful startups operate in the business community. The students visited aquaponics farms and deconstructed existing products and business pitches to develop rubrics for their classroom work. Project teams developed roles based on real-world counterparts:

I had a chance meeting with a friend of a friend who wanted to get students involved in entrepreneurship. As it happened, my colleagues and I had just read Yong Zhao’s World Class Learners, and we wanted a project that would enable our students to start a business with an actual possibility of earnings. In this case, the students would be challenged to market their product — an aquaponics kit for the home — on Kickstarter or other crowdfunding websites. The result was beyond anything I could have hoped for.

Teams held weekly meetings to find out how much work had been finished and how much was left to do. Students felt personally responsible for their teammates’ success and were unhappy if they felt they had let down their teams.

Everyone in the Community Becomes a Teacher

Students found mentors outside the school who correlated to their project roles. A real strength of PBL is that it takes kids out into the community, but we found that creating an entrepreneurial project brought the whole community to us as well. Parents were eager to bring their work skills and experiences into our classroom — not to lecture the whole class, but to work with their younger analogues. The “builders” on each team, for instance, spent hours with construction engineers and local craftsmen, and the sales team members met with business and marketing specialists in the classroom and even at home. Local businesses, from aquaponics farms to Maker spaces, volunteered their space and time to help students design and build their kits. And since — let’s be blunt — I’m a humanities teacher with a very limited sense of how to create a business, I was more than happy to let the experts share their talents while I concentrated on my own job.

Students Take Mastery of Their Own Learning

Finally, the students’ excitement continued to build as their designs slowly took concrete shape and their social media campaigns ramped up in preparation for the Kickstarter campaign. Parents reported their students had never seemed so involved in their schoolwork (or so willing to talk to them at the dinner table). We initially worried that our mandated curriculum — the math, science, literature, and history requirements for ninth grade — would get lost in the shuffle, dropped in favor of the lure for becoming business successes. We needn’t have worried.

For the students, reading novels (such as 1984) or historical documents became exercises in examining the authors’ uses of rhetoric and persuasion. Understanding narrative began to matter more as students realized they had to craft a compelling message for their campaigns. As they learned the importance of communication in the professional world, writing exercises became a common-sense preparation for life, not a chore. My STEM partners reported the same results for math and science lessons. In other words, the students saw the adoption of classroom skills as an important step for their future success. This didn’t happen immediately, but by the last third of the project timelines, their attitudes had shifted markedly from where they had started the year.

Redefining Success

More remarkably, this project even changed how they used their free time. I saw our students enrolling in online courses in either website or business development. Their social media use took on more significance and had a more authentic stake for them, as students began communicating with web journals and community organizations to expand their online presence and gain “endorsements” for their products. Eventually, their work became polished enough to attract the interest of a few local entrepreneurs who volunteered not only to teach them business skills, but also to host a Shark Tank event and bankroll the winners. While only one team won, the other teams vowed to continue developing their ideas and seek their own independent funding. They had redefined success as not necessarily getting A’s or passing the class, but as refusing to take no for an answer.

You can find a record of their work on my website, here and here.

How have you used PBL to foster student engagement in real-world projects?

## Are We Prepare To Transform Lives With Ai?

Artificial intelligence (AI), is quickly becoming a hot topic in today’s world. It can be used in process automation for businesses or in job market demand. In this age of digital transformation, real-time data is always the driving force behind any company. AI was created with one purpose: to make systems smarter and our lives easier. This is evident when you consider the rapid rate at which AI is being integrated across industries.

IDC estimates that the global data generation by 2025 will reach 175 zettabytes. This is a remarkable 430 percent increase over the 33 zettabytes generated last year. The ability of AI to augment and automate jobs that are currently done by humans will have the greatest impact on business in the next few years. AI provides efficient data in its raw form to generate in-depth business insight that can improve company operations and create new revenue streams. To make full use of the smart features of business intelligence tools, enterprises will need to install AI-powered BI platforms.

It has allowed for dramatic changes in the workplace and personal lives. By automating many processes and activities that were previously impossible or taking much longer to perform, it has made it possible to make significant improvements to both the workplace and personal life. It’s no surprise that demand and the need for AI professionals will skyrocket due to the industry’s rapid growth. These are some trends I believe will impact the AI landscape for individuals and organizations as well as governments worldwide.

AI in the Workplace

Transforming chúng tôi has the potential to transform public administration. But are governments prepared for it? It is crucial to understand and evaluate both the potential and risks of this technology. Role-playing and Gamification could help public servants analyze complex cases, come up with better solutions and gain a deeper understanding of autonomous systems.

AI-Enabled World: We are seeing significantly higher levels of AI adoption across a variety of verticals, including manufacturing, government, financial, and retail. The future workforce of enterprises will look almost completely different if we take into account the trends. Imagine an AI workforce that is able to work across functions and automate the entire enterprise with precision and accuracy at every level.

Impossible Cybersecurity with AI: Cybersecurity should go beyond human intervention and AI can transform it impeccably. Because they can analyze large amounts of data in a very short time, machine learning and AI are crucial for information security. An AI cybersecurity officer is able to solve security problems otherwise unsolvable.

Low-code and no-code AI: Building AI solutions requires time, effort, and some level of expertise. It’s possible to create robust AI-powered solutions using low-code or no-code AI platforms. The future is low to no code.

AI In Our Personal Lives

The popularity of autonomous vehicles is on the rise: Statista estimates that the global autonomous vehicle market will reach \$400 billion by 2025. Although autonomous vehicles are still relatively new, they will continue to grow in popularity over the coming years. Major players like Ford, Google, Ford, and Tesla are testing autonomous vehicle technology and others have opened their “robotaxi” service in certain regions of the US.

Climate Change: With the danger of climate change increasing, AI is being considered as a means to reduce its impact. It has an accurate prediction mechanism that can be used in areas such as agriculture, weather forecasts, demand for renewable energy, and many more. Expert predictions and research indicate that AI will soon be a major contributor to sustainable, pollution-free smart cities.

Wearable AI: When embedded in wearable tech, AI transforms the way that wearables function. It puts intelligence into the data the devices fetch. This is called actionable intelligence. Wearable AI makes it easy to learn the speech patterns and vitals of wearers and generate warning signals based on their tone and mood. It is expected to be an integral part of the fitness and healthcare industries.

Conclusion

The automated and supercomputing eras have seen a significant increase in their use, which has reshaped our perception of reality. AI is a powerful tool that has been used in many business processes. This proves its indispensable role as an integral part of our present and future generations.

## 5 Ways Ai Can Transform Crm Software In 2023

The effective management of information, arranged to address the issues of clients has turned into an exceptional test for organizations, due to the tremendous measure of data produced by the communication with clients. Notwithstanding, there are keen approaches to beat these difficulties and transform them into new chances. One of the most revolutionary processes is to implement the AI with the CRM integration. Artificial intelligence making it simpler to predict the consumer behaviour and their expectations for new products and new features. Understanding of a customer behaviour is more important to deliver the products and services according to their desires is very vital for any business success. CRM is a tool which provides the entire database of customers of an organizations and if we add artificial intelligence to CRM our work becomes easier to meet the user requirements. Innovative progression has empowered people to give machines a few skills that go a long ways past their conventional elements of organizing and placing away information. Therefore, this development has permitted the improvement of .

Introduction to Artificial Intelligence

In this unique context, the phrase “Intelligence” suggests to the capacity of machines to comprehend, learn, investigate and exchange information in the same way as a human being. For better understanding see how Artificial Intelligence works, it’s essential to consider machine learning and deep learning because they are intently related to this technology. •  About Deep Learning: It is a calculation dependent on the cascade networks that permits a predictive examination through parameters combination. •  About Machine Learning: The ability of machines learns to the programme by themselves without the help of the programmer. These learning engines transformed into complex calculations, speak to the AI and are the way to ensuring the best results of the mix of AI and CRM.

Introduction to CRM in the Business World How AI will Transform the CRM

AI will now enable organisations to improve their productivity and management through different type of steps, those are mentioned below.

Virtual Assistant

Comprising AI into CRM will enable them to fill in as virtual assistants for agents, enabling them to be more profitable. This remote helper can automate client reactions, messages, follow-ups, and recovery activities.

Automated Data Capturing

CRM tools are currently gathering client information from different onboarding contact focuses like WhatsApp, other social media, and item use with least or no human intervention. In this manner, the business group spares the time by discarding the copy work of physically entering information into the product. They can use this opportunity to connect with clients and create more income. What’s more, the AI can likewise be utilized to investigate clients’ feelings to set up techniques that expansion their dimension of engagement.

Product Usage Client Service and Maintenance

Artificial intelligence will relate that dedicated expert who not just makes you collect activities from vast collection of data yet additionally encourages you to make complete the required profiles to target. With customer data on their tips, reps can re-try associations and upgrade their efficiency. This will make sure that higher customer loyalty and maintenance. You will may be have the capacity to get updated alerts regarding when to catch up with your customers and what should  be the best medium to connect with them. Will a modified email fill the need or you should simply drop or call an SMS? You’ll have the appropriate response!

Data Analytics

Simulated intelligence will move from in backward-looking investigation to tackling all innovations. It will utilize information to understand designs, guide ideal approaches, predict convincing results and computerize the client engagement process. It will make organizations more intelligent and enable them to introduce a 1-on-1 encounter ongoing to every client, regardless of how small or large the scale. Data gathered in a CRM device represents nothing if it’s not utilized. Nothing but, this is the most common place CRM-utilizing businesses to struggle. The absence of time and assets implies a goldmine of client information lies unused. Information must be cleaned, arranged and investigated to enable a business to enhance its client’s understanding.

Conclusion

Machine learning will adjust to changing client aspects and get smarter. When connected with the CRM devices, it will make a business to produce efficient services for clients or customers. Thus, this will encourage the business to produce profitable income. Man-made intelligence will be basic to convey high caliber customized encounters for clients. And it is the next level in the development of CRM

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## Transform Your Education Into Money With Custom Lms Software

This is what an LMS platform can bring to your business:

You will be able to automate and personalize the training program, conduct courses on various topics, and increase employee satisfaction and the overall productivity of the company. You will also be able to get a unique and individual learning experience tailored to the needs of your organization.

One direction in both business and training needs

You can increase the level of training and productivity of employees by conducting training that is adapted identically to the level of your business. At the same time, there is constant control over the process of training. To fully control and display the statistics, you have the opportunity to create reports using visual dashboards, as well as constantly monitor the profitability of the platform.

Your brand will be available to suppliers and partners

To expand the user reach and the number of stakeholders, you can use an intuitive LMS system. With the help of an online platform, you have the opportunity to manage the flow of students, and training programs, organize non-stop customer support, as well as create meetings and lessons online.

Affordable service and facilities with the LMS platform

By optimizing learning and curriculum development, you transform learning material into a cloud-based system over which you have constant supervision and management. With the help of these movements, you can track the process of the impact of training on the critical indicators of the effectiveness of the learning process. These processes can be engagement, retention of knowledge, and its application in practice. Connect business goals with organizational learning performance, scale training flows, and materials, and organize events for multiple groups or audiences at once.

Like any training, the LMS platform has its own system. For your business to improve its performance, you need to train your employees. With the help of creating software for the training platform, you will be able to invest the right contribution to the training, while receiving an assessment of actions and priorities. In doing so, you independently manage the learning resources and provide only the best learning experience of the program that aligns with your business goals. The platform can become a single source of personalized experience for your employees. In the LMS system, there is a cloud system that fully meets the needs of your company and stores all the materials that create an integrated approach to training. It is these parameters that allow you to achieve greater user engagement, which will positively affect the increase in revenue and image of the company.

Software as a Service LMS

This long-familiar concept of SaaS allows us to create scalable, efficient, and profitable platforms. They can offer you not only mobility and flexibility but also high-quality cost prediction and an unlimited amount of data. All your online courses, offline materials, and many other things can now be stored on one platform, where you are able to create new opportunities every day to learn and enhance the user experience. Organization, sales, and management – all in one place. You have the opportunity to create author’s courses, personalized materials for study and reading, and evaluation of courses.

In addition to the above, you can quickly launch scalable and professional e-commerce modules. Making learning part of the workflow is no longer a problem. Reducing employees’ knowledge gaps regarding your business goals has become much easier. The platform focuses on the experience and skills of employees to make them more professional. The content of the platform is easily combined with the ideas and goals of your business, as it is relatively result-oriented. Informal learning is facilitated by using a platform based on artificial intelligence. By assessing the experience, skills, interests and behavioral nature of the user’s actions, the platform can offer a personalized training plan.

Why us?

Deliver real-time training and day-to-day meetings from anywhere in the world. Let learners record, repeat, and download your sessions. Build a high-quality team dynamic with online group training courses and active discussions. Implement various video options such as GoToMeeting, Zoom, or BigBlueButton.

Why is Inoxoft a Reliable LMS Development Company?

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