LMS is an AI-developed application that accommodates in updating and managing the content for training and learning development programs. The corporate and non-corporate organizations use LMS for official purposes like office administration, course documentation, tracking the performance of the learners, and supports online and offline learning.
What can you do with a Learning Management Software (LMS)?
Compared to the earlier times, the Learning Management System Software (LMS) has changed. The corporate sector and education industry use LMS according to their needs. With up-to-date Learning Management Software (LMS), you can avoid unnecessary labor like:
• Preparing manuals
• PowerPoint slides
• Spreadsheets in learning administration.
The following are the things you can do with an LMS.
• Reduce your cost – Are you in a tight situation because of COVID-19? Well, that could be one of the passing phases of your life. Unlike traditional teaching classroom methods, Learning & Development Software is cheaper. Even though the application needs an initial investment, it is a one-time investment. You can reuse the app to train the students and staff and conduct online training. You can use valuable resources according to your allocated budget for better coaching.
• Monitor and assess the progress – Designed to track and monitor the student’s and the tutor’s progress at any given time, the Learning Management System Software ensures that both faculties and students show a drastic improvement in their performances. Furthermore, LMS education also allows you to track learner’s progress and see whether their performance reaches the expected milestones. The students don’t have the time constraints to ask questions or doubts to their instructors as they can get the answers from the faculties once they read their messages. Even in the corporate companies, the employers can gauge the employees whether they are at the home, office, or even at the client’s place.
• Get the time flexibility – The students can study the subjects online with the help of Learning Management Systems at their pace through desktop, laptops, or tablets as long as they have access to the internet. It also helps the companies to harness the technology, which enhances your efficiency. The LMS also helps you to meet the demand for payroll or HR systems as it automatically adds or removes the employees across systems.
• Saves your time – The e-learning system saves time for the teachers, students, and companies. From the teachers’ perspective, they can create content from the student’s viewpoint, automate the assignment, and perform an incredible analysis of students’ performance. All these features make learning enjoyable and increase the students’ enthusiasm to perform better. In an organization, the employees can learn new things so they can increase productivity with uncompromised quality.
• Maintain social distancing while learning and working – The LMS makes your learning and productivity unstoppable despite the economic slowdown, owing to the reasons like COVID-19 or others. The online learning & remote working helps you gain more knowledge & earn a steady income while maintaining social distancing.
• E-Commerce – Many learning centers now develop e-commerce websites via LMS Software. It enables the students to place an order for the study materials online & start studying after receiving them at their doorstep. The companies can generate revenue with the help of cross-selling, which gives an incentive to the users after making a purchase.
• Easy upgrades – As the Learning Management System (LMS) uses the centralized location for the content, you can easily upgrade the information according to the specification of new trends. The end-users get continuous updates from time-to-time.
Who uses LMS?
1. Students – The students of educational institute can easily study and solve the assignments allocated by their instructors.
2. Teachers – The LMS enables the teachers to give the students additional information once they prepare the content.
Educational Institutions – Make use of LMS to reduce the cost & generate income from students. They use the software to gauge their employees by collecting the students’ feedback on teaching methods, study materials, etc.
3. Corporates – There is a slight difference between educational institutes & corporate companies. Though both use LMS to monitor the employees, the corporates keep track of their productivity after undergoing the training after getting selected for a particular process.
4. Non-Profit Organizations – The other non-profit organizations are clubs, fitness centers, salons, healthcare centers, and others. They use LMS for the following reasons:
a. In-house talent development
b. Save training costs
c. Reduce training time
d. Safe and centralized storage
e. And others
Why do you need Learning Management Software?
Learning Management Software is one of the most powerful applications used for corporate and educational purposes. Do you know that over 83% of the companies across the globe are using LMS? With the increasing demand of learning management platforms in the market, the forecasted net worth has a projection to attain $23.21 billion by 2023. The Learning Management System Software makes your life easier through content delivery and helps you handle onboarding, compliance, and skills gap analysis.
Benefits of Learning Management Systems
• Cost Savings – The Learning Management Application helps in online teaching & training. It reduces conveyance charges to the employees, optimizes training costs, and minimizes the usage facilities. You only need to pay the salary to the instructors. The LMS can perform more tasks than what you can imagine.
• Makes the driving compliance easier – The compliance rules and regulations keep changing. However, when it comes to updating the traditional online course, it would consume much time. The Learning Management System already has readymade content. Hence, you can easily upgrade the content through modification. Adding the latest news and eliminating outdated information ensures that people are on the same page. The LMS enables you to unlearn and relearn the content according to the new compliance standards within a short time.
• Gives you a more engaging experience – Gone are those days where the employees had to undergo rigorous product training for long hours with their trainers in the conference room.
• Easy access to information – The Learning Management Software comprises a well-organized structure. The users can access the information irrespective of geographical location. The LMS helps the users to view and access the following in a single click.
♦ Multimedia content
The LMS offers the time flexibility to open the learning content and materials at your pace. You can learn a subject in whichever location you reside.
• Personalization – The LMS provides you a learning platform that helps in personalizing your brand completely. It further helps you to incorporate the corporate image, brand, into the platform. You can now tailor different elements and features according to your company’s taste, which can be in multilingual or monolingual. The LMS does not need additional installation for creating various portals and user IDs. Also, the application can function simultaneously with web access.
• Updated and Immediate Content – The administrators can use the Learning Management Systems to update the course content instantly. They can also add materials & provide the students with immediate access to valuable resources.
• Advanced Reporting – The LMS allows you to download the detailed performance reports of the students and staff through after streamlining.
• Multimedia Learning – Are you looking for an application that will enable you to create multimedia learning content? The LMS is advanced software that helps an organization to develop the content. The corporates use the material for training the selected candidates in project training. The hospitals use the Learning Management Software to provide primary medical education to the students. The LMS helps in presenting the materials using video, images, audio, and text. Hence the Learning Management System serves as a great tool in learning new skills or information. Furthermore, the system enables learners to communicate with their trainers and their colleagues through chat platforms & online forums. The software also promotes a collaborative, interactive, attractive, and personal learning environment.
• Sales and commercialization – The LMS also help the organizations to generate substantial sales revenue. E-Commerce is a renowned way of selling your products and services. It helps you to manage and automate the platform through a supports the payment modes like credit card or bank transfer. The students can make an online payment, signing up for the course of their choice. Even the corporates can get unlimited benefits, using Learning Management Software.
Projecting the future of Learning Management System
In the present world, many organizations and institutes rely on the Learning Management System (LMS). In earlier times, people were making use of books and libraries. The students could only bank upon the teachers to attain knowledge. However, with the Internet, the students and workers can get more information from different sources.
You can gain plenty of information using devices like smartphones, social media, computers, MOOCs, and others.
› Does the Learning Management System have a future?
Yes, the LMS does have a scope in the upcoming days. In this pandemic situation, educational institutions have stopped running. But the employees are operating at home and are providing online training to the students.
The corporates are also suffering owing to COVID-19 setback. The employees are working remotely to maintain social distancing.
The COVID-19 cases are increasing across the globe and have resulted in a standstill. Furthermore, no one knows when the situation will come back to normalcy. However, most of the organizations are still running the show with the help of Learning Management Software.
The Learning Management System Software has helped in steady growth at the university level. Lately, the education scenario has witnessed drastic changes. The fortune companies aim at providing their employees with the best orientation to reach great heights. Hence, they invest in the Learning Management System that benefits them the most. The present and the future of LMS trends are:
• Enhanced communication – Communication plays a critical role in the business world. The Learning Management Software provides the platform to the employees to share their ideas with the coworkers.
• Crowd-Sourced Content – The companies, educational institutions, and other non-profit organizations must ensure they arrange the content that meets the user requirements.
• Gamification – It lets the learners understand concepts in an entertaining, interactive, and engaging manner. Gone are the days where the employees were in a toxic environment. Today, companies employ gamification technology to make their employees feel at ease. The LMS makes it possible for the employees to learn efficiently and deliver the right results to the organization.
• Artificial Intelligence (AI) changed LMS to competitive Intelligence –Artificial Intelligence plays various roles in our lives. For example, the virtual assistants give the news updates & weather reports before you retire to bed or wake up in the morning. Also, you get timely updates when the TV sets are on. The current generation has become addicted to technology to the extent of using Artificial Intelligence. The LMS makes AI, which helps in personalized and relevant learning. You also get insights according to the data and content on users’ behavior and requirements. The AI, in combination with LMS, helps you to update the content according to the latest requirements. It simplifies the task of L & D for the administrators and helps in smart work to deliver the newest enterprise learning.
• Impact of Artificial Intelligence on LMS – Has already begun. In the coming days, Artificial Intelligence has more expectations to build an effect on LMS space. The AI skips the automatic evaluation of:
1. How much the learner has understood the concept?
2. The adjustment of the learning pathway according to their understanding level.
Artificial Intelligence ensures an automated version of LMS that does the work of a great teacher. It gauges the mastery level of all individuals and provides them with relevant content. The LMS with AI makes learning easy for all the students.
Criminals are exploiting the pandemic to scam or threat and steal from businesses and individuals, with Action Fraud estimating £2m already lost by mid-April. Simple scams are targeting people’s fears by offering fake cures, tests and protections online, with the National Cyber Security Centre recording more than 70,000 malicious websites created since the pandemic was declared.
More worrying are the thousands of different fake emails, web adverts and websites. These pretend to offer official government support on things like tax refunds, medical advice and business grants. Some criminals are sending out over a million emails at a time with the hope that they can tempt people into clicking on links, downloading apps or opening attachments; the links contain viruses or trick people to provide personal data or bank details. These ‘phishing’ emails then allow the criminal to steal and extort, sometimes without the victim being aware for weeks.
Related:- Top Open-source Data Visualization Tools
Tips on spotting a phishing email:
- The criminals will try to make their email look convincing so don’t trust it just because it looks official or from a name you recognise
- Poor spelling or grammar and bad quality images or logos are often a giveaway
- An email asking you to provide information, especially if it is stressing urgency, is threatening, or is offering a reward, should be treated with suspicion. Do not give away personal or commercial data without caution
- Does the sender’s email address look like it should and is it spelt correctly? You can sometimes check the validity of the sender’s address or any links by hovering your cursor over them, sometimes this can reveal the true address.
- Be wary if the email does not address you by name or is from an unknown or unexpected sender
- If the message is too good to be true…
Simple steps to boost your cyber security:
- Use different passwords for different websites so if one password is compromised the criminal will not have instant access to all of your sites. Passwords should be at least 10 characters long with mixed characters; current advice is to use 7hree $eperate Wordz
- Ensure up to date antivirus, malware and firewalls are installed
- Restrict account controls so staff can only access data or the parts of the system that they need to for their role. If an individual is breached this will restrict the access criminals have to the business.
- Ensure portable devices are password protected and encrypted
- Discourage the use of removable media, such as USB sticks, and personal devices, these are both common causes of valuable data being lost or unwanted problems getting in.
- Train and educate staff in cyber hygiene and cyber security awareness, in most breaches people are the weak link
- Consider completing Cyber Essentials certification for your business, which is proven to significantly reduce cyber risks
- We strongly recommend that your business purchases cyber insurance, which can provide specialist technical and legal support in the event of a cyber incident as well as covering your financial losses.
Lastly, if you do fall foul of cyber-crime you should immediately report it to Action Fraud
With AI and Machine Learning growing at a rapid pace, companies evolve their data infrastructure to benefit from the latest technological developments and stay ahead of the curve.
Shifting a company’s data infrastructure and operations to one that is “AI ready” entails several critical steps and considerations for data and analytics leaders looking to leverage Artificial Intelligence at scale, from ensuring that the required data processes to feed these technologies are in place, to securing the right set of skills for the job.
Therefore, companies usually begin their journey to “AI proficiency” by implementing technologies to streamline the operation (and orchestration) of data teams across their organisation and rethinking business strategy — what data do they actually need? This is a natural first step for most organizations, given that Machine Learning and other AI initiatives rely heavily on the availability and quality of input data to produce meaningful and correct outputs. Guaranteeing that the pipelines producing these outputs operate under desirable performance and fault tolerance requirements becomes a necessary, but secondary step.
As a recent O’Reilly Media study showed, more than 60% of organisations plan to spend at least 5% of their IT budget over the next 12 months on Artificial Intelligence.
Considering that interest in AI continues to grow and companies plan to invest heavily in AI initiatives for the remainder of the year, we can expect a growing number of early-adopter organisations to spend more IT budgets on foundational data technologies for collecting, cleaning, transforming, storing and making data widely available in the organisation. Such technologies may include platforms for data integration and ETL, data governance and metadata management, amongst others.
Still, the great majority of organisations that set out on this journey already employ teams of data scientists or likewise skilled employees, and leverage the flexibility of infrastructure in the cloud to explore and build organisation-wide data services platforms. Such platforms ideally support collaboration through multi-tenancy and coordinate multiple services under one roof, democratizing data access and manipulation within the organisation. It comes as no surprise that technology behemoths like Uber, Airbnb and Netflix have rolled out their own internal data platforms that empower users by streamlining difficult processes like training and production sing Deep Learning models or reusing Machine Learning models across experiments.
But how do companies step up their infrastructure to become “AI ready”? Are they deploying data science platforms and data infrastructure projects on premises or taking advantage of a hybrid, multi-cloud approach to their infrastructure? As more and more companies embrace the “write once, run anywhere” approach to data infrastructure, we can expect more enterprise developments in a combination of on-prem and cloud environments or even a combination of different cloud services for the same application. In a recent O’Reilly Media survey, more than 85% of respondents stated that they plan on using one (or multiple) of the seven major public cloud providers for their data infrastructure projects, namely AWS, Google Cloud, Microsoft Azure, Oracle, IBM, Alibaba Cloud or other partners.
Related:- Top Open-source Data Visualization Tools
Enterprises across geographies expressed interest in shifting to a cloud data infrastructure as a means to leveraging AI and Machine Learning with more than 80% of respondents across North America, EMEA and Asia replying that this is their desired choice. A testament to the growing trend towards a hybrid, multi-cloud application development is the finding in the same survey that 1 out of 10 respondents uses all three major cloud providers for some part of their data infrastructure (Google Cloud Platform, AWS and Microsoft Azure).
Without question, once companies become serious about their AI and Machine Learning efforts, technologies for effectively collecting and processing data at scale become not just a top priority, but an essential necessity. This is no surprise, given the importance of real-time data for developing, training and serving ML models for the modern enterprise. Continuous processing and real-time data architectures also become key when Machine Learning and other Artificial Intelligence use cases move into production.
This is where Apache Flink comes into play as a first-class open source stream processing engine: built from the bottom-up for stream processing, with unbeatable performance characteristics, a highly scalable architecture, strong consistency and fault tolerance guarantees, Flink is used and battle-tested by the largest streaming production deployments in the world, processing massive amounts of real-time data with sub-second latency.
Examples of such large scale use cases include Netflix, using Apache Flink for real-time data processing to build, maintain and serve Machine Learning models that power different parts of the website, including video recommendations, search results ranking and selection of artwork, and Google using Apache Flink, together with Apache Beam and TensorFlow to develop TensorFlow Extended (TFX), an end-to-end machine learning platform for TensorFlow that powers products across all of Alphabet.
The journey to Artificial Intelligence proficiency might seem like an overwhelming and daunting task at first. Making the right investments and decisions upfront to nurture the right data engineering and analytics infrastructure, thinking cloud-based and considering stream processing as a real-time business enabler will help tech leaders to navigate through the journey successfully and accelerate their enterprise into an AI-led organisation of the future.
Data Visualization is a method of presenting data in a visual format. The pictorials and graphs help decision-makers comprehend information. Data visualization recognizes patterns, concepts, and trends in large data sets. Data visualization is a process that helps businesses of all sizes and industries.
Open Source Data Visualization tools have tremendously impacted the corporate world. In this article, we will learn about various open-source data visualization tools.
Here are a few benefits of businesses using free and open-source Data Visualization tools:
- Open Source Data Visualization tools would help in decision making. It will fulfill tasks such as presenting data patterns, correlations, and trends using graphic elements.
- There are multiple ranges of tools available. Each with features and functions to support user objectives.
- The tools ensure data accuracy and protect vital information. The tools are said to collaborate with security solutions to maintain data security.
- The tools alert and notify users about the completion of tasks. They also send out notifications in case a task is missed.
- The tools comprehend data and provide suggestions to improve business performance.
- The tools help small businesses by reducing costs as they are free and open source.
Open-Source Data Visualization Tools and their Key Features:
Tableau Public is a free and open-sourced data visualization tool. It is a platform that allows users to freely share and explore data visualizations publicly.
They provide Data Visualization or “vizzes” as they call them, to help users comprehend data under any public topic.
- It allows users to share visualized data publicly.
- It provides over 3 million interactive data visualizations created by 1 million global users.
- It is a fully hosted tool that can manage millions of viewers and infrastructure.
Google Charts is a simple and free data visualization tool. It is a cloud-based tool that provides a library of data charts.
It provides multiple default charts but also allows limitless customization. It connects users in an online Google Charts forum where they support one another to create visualized data.
- It allows users to access charts and data tools from any web-browser without plug-ins.
- It allows users to create multiple dashboards and also helps match the chart colors as per the website or business.
- It manages the content on the charts and connects real-time data using data connection and protocol tools.
Developers use the variety of mapping features already embedded in the tool.
- It provides multiple plugins to add features and customizations.
- It works well on mobile and desktop platforms.
- It offers visual, user interaction, and performance features zoom, drag panning inertia, keyboard navigation, hardware acceleration, etc.
- It provides mapping controls like zoom buttons, attribution, layer switcher, and scale.
- It visualizes data for users with HTML, SVG, and CSS.
- It uses the full capacity of a browser to develop visualizations without tying to a proprietary framework.
- It connects users to a DOM and applies data-driven manipulations to documents.
Plotly is an open-sourced browser-based data visualization tool. It is an interactive solution built on d3.js visualization libraries.
- It allows users to create d3.js visualizations by simply uploading excel files or connecting the SQL database.
- It enables users to work with R or Python to create charts.
- Comparing datasets becomes easier with its multi-chart visualization.
- It creates and displays complex charts on dashboards and websites.
- It allows users to collaborate and share data with different teams and members.
Charted is a free and open-source tool that automatically visualizes data. The Product Science at Medium created the tool in 2013.
It focuses only on visualization and does not transform format or store data.
- It only requires a CSV file or Google Sheets link to create visualizations.
- It analyzes and displays discoveries with the data science team.
- The tool comes with integrated components that help with visualizations.
- It also supports tab-delimited files and Dropbox links and requires no training for users.
Datawrapper is an open-sourced tool that is mobile-friendly. It provides users with simple, accurate, and embeddable visualizations within minutes.
The tool was created by a team of 15 developers in 2011. It is vastly used by journalists although it is comprehensive enough for data scientists and researchers.
- It provides free and paid versions for users.
- It provides interactive charts for viewers to comprehend underlying values.
- It helps create charts and reports within minutes.
It is another tool to use SVG functionality that facilitates styling through CSS which enables interactivity.
- It displays multi-zoom datasets over maps for users.
- It leverages SVG to display and uses CSS to enable users to define the design.
- It loads a full range of data to showcase information from the country level to states, cities, neighborhoods, and individual streets.
Candela is an open-source web-visualization tool from Kitware’s Resonant platform. It is a full suite of interoperable data visualization components.
It focuses on creating rich and scalable visualizations. Its API is used in real-world data science applications.
- It creates rich and scalable visualizations for users.
- It provides a normalized API to apply in real-world data science scenarios.
- It enables installation through standard package repositories systems or from a source.
- Its primary feature includes handling heavy data sets and plotting millions of data points without getting bogged down.
- It displays strong support for error bars and confidence intervals.
- It is a customizable tool and this flexibility allows it to work well with all browsers.
RAWGraphs is an open-source data visualization platform. The tagline on the website states “missing link between spreadsheets and data visualizations”.
The user can simply cut/paste data, upload, or provide a link for the data sets to access a variety of charts.
- It provides users with multiple unconventional visualization models.
- It is built on the D3.js library and is designed for technical as well as non-technical users.
- It builds links between spreadsheets and vector graphics editors.
- It is a web-based platform and handles data through browsers.
OpenHeatMap is a basic online mapping tool. It enables users to upload csv, excel or Google Sheets files to create maps.
It uses data to build static or animated maps. It enables users to view the data in different locations and visualize changes.
- Developers can use the tool to access mapping functionalities of their own website.
- It helps users to communicate through interactive maps that may be static or animated.
- It provides customer demographics data according to zip codes.
Palladio is a free web-based tool that visualizes complex, historical and multidimensional data. It allows users to visualize data from CSV, TAB, and/or TSV files.
It is a product created in Stanford University’s Networks in History.
- Its graph view enables users to visualize relationships between data dimensions.
- Its list view feature helps users arrange the data in customized lists.
- It easily visualizes complex historical data.
Databox is a cloud-based business data dashboard tool. Users can easily connect a data source and choose attributes to be auto-populated in the dashboard.
- It collaborates with data sources like HubSpot CRM, Google Analytics, Instagram, and Facebook Ads.
- It has a DIY Dashboard creator that allows users to choose from multiple templates and design dashboards without a designer or a coder.
- Its key performance indicator scorecards, advanced data modeling, and goal tracking allow data analysts to predict business performance.
Mode is a free, interactive, and cloud-based platform. It analyzes complex datasets and provides reports.
It is a browser-based data visualization tool that streamlines data for users.
- It provides a top-level and analytical workflow for users.
- It provides a unique URL to each project which makes it easier to share the links among teams and members.
- It works with servers like Microsoft Azure SQL, Amazon Redshift, Oracle, MySQL, SQL, etc.
- It provides free courses for users to learn online.
Open Source Data Visualization tools are an important aspect of data analytics. Businesses that use data visualization tools leverage actionable information from the analyzed data.
The pandemic has highlighted how integral technology infrastructure is to help us work, shop and interact with each other. As more of our critical infrastructure and services become dependent on software hosted in the cloud, outages are more than just an inconvenience.
But many businesses are playing a risky game with their cloud providers. They often use one main provider, located in a small number of places around the world – meaning if downtime occurs, they are left high and dry. On top of this, there are various data sovereignty and privacy concerns associated with using one sole provider across borders.
In this piece we’ll explore the changing weather of cloud infrastructure, including the rise of local providers, the increasing data sovereignty complications, and how diversifying to a multi-cloud approach can help businesses address these challenges.
Local cloud options
When choosing a cloud provider, large organisations are often drawn to using one of the ‘big five’ suppliers. Of these, four of the five (Amazon, Microsoft, Google and IBM) are American.
With the US having recently passed the CLOUD act, which has provisions that enable the US government to demand access to data stored by American companies overseas, many companies that handle sensitive information are concerned about the privacy aspect of storing their data with these US-based companies.
Businesses are therefore considering building their online presence across providers within each jurisdiction they operate in. By seeking local market providers who provide cloud-based durability, cost-effectiveness and ease-of-use, they can rest assured that they are operating within the legal framework of each country they are established in.
These local options are expected to increase over the next few years, given moves to promote competition, such as the EU’s recent ruling that countries should be encouraging local providers over the large US-based cloud vendors.
Data sovereignty complications across borders
Organizations who operate across several different countries are also impacted by a global web of data protection and residency legislation, which applies to the user data they hold, yet most companies are not even thinking about it.
This is because current national and international legislation around tax, data protection and privacy are not compatible with one another, which makes dealing with data and transactions ethically a quagmire.
There is a definitive need for a simplification of digital tax and data policy within major trading blocks. For example, although GDPR is a block-wide requirement in the EU, handling VAT on transactions is done on a nation-by-nation basis and needs to be managed independently for each country that gets serviced. This is incredibly complicated for a market that is increasingly dominated by digital transactions.
Read More:- What’s Your Route to Enterprise AI Adoption?
Addressing these challenges
Over the next few years, and in absence of a universal simplification, the challenge for many global companies will be to ensure they are compliant to the increasing amounts of data protection legislations, which seek to regulate how they use and store data across countries.
This challenge, combined with a much larger public awareness of data privacy and consumer’s rights, means that organisations immediately need to be transparent about their use of data and who it can be accessed by.
To do this, awareness and protection are the first line of defence and, as well as getting an experienced lawyer to draft your company’s privacy policies, a risk assessment should be undertaken to determine potential exposure.
With increasingly aware customers, businesses should be especially aware of the possibility of receiving Freedom of Information Act (FOIA) requests from the public who want to know how their data is being used. To prepare, businesses should ensure they have systems in place to handle the formal processing of these requests.
Most importantly, in a time when the vaults of data businesses own and use are getting larger and more complex, companies need to ensure they’re compliant and avoid making mistakes. From marketing lists, to customer mailing lists and ad-hoc visitor lists, organizations need to clearly think through how they are working with people’s data and keep track of it.
Building a multi-cloud approach
To help address these challenges, business leaders should consider building their applications across a range of providers within their own borders in order to mitigate their risk around compliance.
For businesses, doing this also means that they can access data centres in areas which are not provided by the primary cloud provider and manage costs and resources more effectively by taking advantage of reduced prices or specialized offerings which are not available with large vendors.
A key consideration when looking at moving to a multi-cloud approach is the role of API management.
As moving data tends to rely heavily on APIs, supporting a multi-cloud strategy requires evaluating your API management approach – this includes finding an API management solution that is capable of working in a multi-cloud, multi-region configuration, while ideally providing a centralised view.
With countries around the world beginning to build their own internal cloud infrastructure and with the increasing demand for domestic data storage solutions, the future for businesses is multi-cloud.
Although the temptation may be to simply think short-term amid the pandemic, true business leaders will be focused on building for the future. Along with enabling remote working, this means investing in improving agility and efficiency. Considering a multi-cloud strategy, with all the flexibility, cost benefits and competitive advantages it offers, will help them to do that.
Artificial intelligence (AI) is currently an inherent piece of our everyday lives. We don’t consider anything but seeing personalized product recommendations on Amazon or optimized real-time directions on Google Maps. The day isn’t far when we will have the option to bring driverless vehicles to take us home, where Alexa would have just arranged dinner subsequent to checking stock with our smart oven and fridge. That being stated, enterprise adoption of AI has been increasingly estimated however, it is advancing quickly to achieve tasks extending from planning, anticipating, and predictive maintenance to customer service chatbots and the like.
Understanding the province of Artificial Intelligence deployment, how comprehensively it is being utilized, and in what ways it is challenging for some business chiefs. AI and different innovations are progressing altogether quicker than many foreseen only a couple of years ago. The pace of development is accelerating and can be difficult to grasp.
KPMG 2019 Enterprise Artificial Intelligence Adoption Study is conducted to pick up understanding into the province of AI and automation deployment efforts to select huge top organizations. This is associated with in-depth interviews with senior pioneers at 30 of the world’s biggest organizations, as well as secondary research on work postings and media coverage. These 30 exceptionally powerful out of Global 500 organizations represent noteworthy worldwide economic value, on the whole, they utilize roughly 6.2 million individuals, with total incomes of US$3 trillion. Together, they additionally represent a noteworthy part of the AI market.
Almost all the employees so surveyed consider Artificial Intelligence to be playing a job in making new champs and losers. Artificial intelligence has wide enterprise applications and the possibility to move the competitive position of a business. The advances under the AI umbrella are as of now adding to product and service upgrades and they will be significant drivers of innovation for completely new products, services, and business models.
O’Reilly survey results show that AI efforts are developing from prototype to production, however, organization support and an AI/ML skills gap remain snags.
5 Reasons to Develop AI Systems In-House
1: The Best Core Technologies Are Open-source Anyway
The academic origins of open-source GPU-accelerated machine learning frameworks and libraries over the last ten years have made it all but impossible for well-funded tech giants to cloister promising new AI technologies into patent-locked, proprietary systems.
This is partly because nearly all the seminal contributing work has been the result of international collaborations involving some mix of academic research bodies and government or commercial institutions, and because of the permissive licensing that facilitated this level of global cooperation.
With occasional exceptions for the military sector and parts of Asia, state-funded research is publicly accountable by necessity, while commercial attempts to take promising code into private branches would starve them, fatally, of ongoing community insight and development.
Ultimately all the major tech players were forced to join the open-source AI Eco structure in the hope that some other differentiating factor, such as Microsoft’s business market capture, Amazon’s gargantuan consumer reach, or Google’s growing data mountains could later reap unique corporate benefits.
This unprecedented level of transparency and open technology gifts any private commercial project with free world-class machine learning libraries and frameworks, all not only adopted and well-funded (though not owned) by major tech players, but also proofed against subsequent revisionist licensing.
2: Protecting Corporate IP
Most in-house AI projects have a more fragile angle on success than the FAANG companies, such as a patentable use-case concept or the leveraging of internal consumer data — instances where the AI stack configuration and development is a mere deployment consideration rather than a value proposition in itself.
In order to avoid encroachment, it may be necessary to tokenize transactions that take place through cloud infrastructure, but keep local control of the central transaction engine.
Where client-side latency is a concern, one can also deploy opaque but functional algorithms derived from machine learning methods, rather than trusting the entirety of the system to the cloud, and encrypt or tokenize data returns for local analysis.
Such hybrid approaches have become increasingly common in the face of growing breach reports and hacking scandals over the last ten years.
3: Keeping Control of Data Governance and Compliance
The specificity of the input data for machine learning models is so lost in the training process that concerns around governance and management of the source training data might seem irrelevant, and shortcuts tempting.
However, controversial algorithm output can result in a clear inference of bias, and in embarrassingly public audits of the unprocessed training source data and the methodologies used.
In-house systems are more easily able to contain such anomalies once identified. This approach ensures that any such roadblocks in machine learning development neither overstep the terms and conditions of the cloud AI providers nor risk infringing the lattice of varying location-specific privacy and governance legislation that must be considered when deploying cloud-based AI processing systems.
4: AIaaS Can Be Used for Rapid Prototyping
The tension between in-house enterprise AI and cloud-based or outsourced AI development is not a zero-sum game. The diffusion of open-source libraries and frameworks into the most popular high-volume cloud AI solutions enables rapid prototyping and experimentation, using core technologies that can be moved in-house after the proof-of-concept is established, but which are rather more difficult for a local team to investigate creatively on an ad-hoc basis.
Rob Thomas, General Manager of IBM Data and Watson AI, has emphasized the importance of using at-scale turnkey solutions to explore various conceptual possibilities for local or hybrid AI implementations, asserting that even a 50% failure rate will leave an in-house approach with multiple viable paths forward.
5: High-Volume Providers Are Not Outfitted for Marginal Use Cases
If an in-house project does not center around the highest-volume use cases of external providers, such as computer vision or natural language processing, deployment and tooling is likely to be more complicated and time-consuming. It’s also likely to be lacking in quick-start features such as applicable pre-trained models, suitably customizable analytics interfaces, or apposite data pre-processing pipelines.
Not all marginal use cases of this nature are SMB-sized. They also occur in industries and sectors that may be essential but operate at too limited a scale or within such high levels of oversight (such as the nuclear and financial industries) that no ‘templated’ AI outsourcing solution is ever likely to offer adequate regulatory compliance frameworks across territories, or enough economy of scale to justify investment on the part of off-the-shelf cloud AI providers.
Commodity cloud APIs can also prove more expensive and less responsive in cases where the value of a data transaction lies in its scarcity and exclusivity rather than its capacity to scale at volume or address a large captive user base at a very low latency.
A guy comes to your house, Google says he can add a room, fix your roof, and install new windows. He gives you an estimate that seems good, very good. Almost too good. In fact you start to wonder if you can trust him. Google wonders if it can trust you and your company. Gaining Google’s trust is the most important factor the best step for dominance local SEO.
On August 1 2018 Google released an update that created the anagram E.A.T. . E.A.T. stands for Expertise, Authority and Trust. Along with E.A.T. came YMYL, Your Money Your Life. The updates highlighted Google’s attempt to weed out weak, spammy and malicious sites when Googlers were looking for information concerning either the health or their finances. Clearly, people needing information on that kind of subject needed search choices that were knowledgeable and honest. Trustworthiness was always a high ranking factor in Google searches. The E.A.T. updated added expertise to the main list of criteria for search.
The Three Factors important for SEO:
But what about websites that don’t concern themselves with health or finance? It has been long recognized by the SEO industry that the three most important factors in local SEO are authority, relevance and trust.
Authority is the qualitative gauge which bolsters the prominence and ranking of a website, A main factor in local SEO is to increase authority. This is done through informative content and building valuable, high value links. Authority by itself won’t guarantee search visibility.
Relevance refers to how closely your website, or web page answers the query the user is asking. Along with relevance another local SEO factor is prominence. What business/website is the most highly considered and capable in this area for this query.
Getting Google to trust your business and website takes time and effort. Trust us when we say the effort will be worth it. Here’s what you need to do to gain Google’s trust.
- Linking to websites that have authority (trustworthiness) and offer relevance to the content on the page you’re trying to rank. Site authority is measured differently by various entities. Google has no published measurement. The most popular tool for measuring site authority is Domain Authority from Moz.
- Google likes Terms and Conditions pages and Privacy notices. Make sure you have both on your site. Along with this, make sure your website has an SSL certificate assigned to the site.
- You should try to reduce your bounce rate. Keeping visitors on your website is a clue to Google that the content on your website is useful and engaging. Make sure your website pages are well organized and delivers the content your title tags promise. Speaking of title tags, you should use them. If you do, don’t over-stuff them with your key phrases. The page should read naturally. You should be writing for the the visitor, not Google.
- Letting your visitors know who you are with an About page is another trust factor Google values. Although images help with SEO, visitors seeing pictures of people on an About page increases trust with them, a goal you should also be pursuing.
- Maintain a regular schedule for updating your website with fresh content. Blog articles are great at accomplishing this important task. Businesses in some niches, construction for example, use case studies to highlight their expertise and add content to their site. If they add a link to the client website that’s even more authority.
If Google trusts your business, you can be that your sure visitors will too. It’s a win win for everybody.
COVID-19 Pandemic has affected our business in different ways. As most companies are now working remotely, the need for the best software for remote teams is more than ever. To efficiently manage your business remotely, increase collaboration among teams and ensure that you deliver the best customer experiences during this crucial time, you must leverage CRM software.
As the CRM platform has got you covered, let’s dive in to learn more about how CRM software can help businesses operating remotely and what makes it the best software for remote team management.
Seamless Integration with Other Productivity Apps
As CRM software can be integrated with other productivity applications, you can cut the hassle of juggling different software and losing track of your tasks. Simply integrate your CRM platform with other business software and tools by leveraging CRM integration services to streamline your activity pipeline and improve task management. Moreover, the integration process is more seamless if you are using SugarCRM as it is flexible, easy to use and has an interactive user interface.
Equip your teams to better communicate with clients, manage tasks and stay updated with everything about the business with Mobile CRM. With SugarCRM implementation, you can access it anywhere and at any time to ensure that all business operations are run smoothly and quickly respond to your customers.
Actionable Insights for Better Strategizing
In times of crisis, it’s important to be flexible in decision-making and change strategies to better adapt to the changing business situations. Now, with the CRM software in place, your data will be automatically updated and you can utilize it to derive actionable insights and plan your next move.
For example, if you leverage SugarCRM, you can make the most of your CRM investment to stay ahead of the curve and use it for robust reporting and interactive dashboards. Hence, teams working from home or remotely can leverage CRM as the best software for remote teams by making the most of predictive analytics.
Building Trusting Customer Relationships
During difficult economic situations, it’s crucial for a business to develop trusting customer relationships and utilize all customer touchpoints to know more about their customers. You can do it by integrating your CRM with Sugar Market to send personalized emails to your customers and let them know that you are with them in the time of crisis and will continue to deliver excellent results.
Sales On the Go
For remote teams, cloud-based software such as SugarCRM will ensure that the efficiency of the sales team is not affected. CRM helps in removing all bottlenecks in communication as all CRM users get a 360-degree view of the customers and the sales pipeline to work together and maximize the revenues.
Moreover, another reason that SugarCRM is a top option when it comes to choosing the best software for remote teams is its enhanced sales intelligence functionalities and accurate sales forecasting.
Streamline Communication Among Teams
For teams to work better in a remote setting, there is no better option than SugarCRM as the best software for remote teams. CRM platform will provide end-to-end visibility of the activity pipeline and ensure that all employees are updated with the current business scenario and are proactively working to adapt to the changing business situations. Additionally, you can integrate Google Calendar in Sugar with the help of SugarCRM plugin- RT G Sync and easily schedule meetings and stay on top of your day to drive efficiency in business operations.
With seamless communication, CRM helps teams to boost productivity by eliminating redundant tasks through automation. This will allow your team to save the time spent on repetitive tasks such as data entry so they can focus on answering customer queries, regaining customer confidence and assuring them that they will be provided with the best customer service.
It’s A Wrap!
When employees are working remotely, the decision of choosing the best software for remote teams is critical. Investing in CRM software for working remotely will help in managing teams, building trusting relationships with customers and planning proactively by making data-driven decisions. Moreover, you can also leverage the expertise of our SugarCRM Certified Team to enhance the functionalities of your Sugar to boost the productivity of your remote teams and springboard your business to the next level.
The rapid adoption of 5G solutions and infrastructure will substantially dominate the global SD-WAN market, claims a recent study. With the pandemic-induced digital marketplace, the IT infrastructure is rapidly expanding with evolving business and technology needs. This includes security threat solutions, adoption of cloud platforms for different business teams, remote working tools, and more.
As a result, this adoption rate is anticipated to fuel the progress of the SD-WAN market in the coming years. A recent report by Persistence Market Research revealed that the global SD-WAN market is anticipated to grow rapidly – reaching a valuation of $53 billion globally by the end of 2030.
Enterprises currently prefer a software-defined vast area network as it allows the bounding of several internet access resources. This is valid for digital subscriber lines (DSL), cables, and cellular/ any other IP transport to deliver high throughput data channels.
As per experts, WAN solutions enhance application performance, reduce costs, and increase agility – while addressing countless IT challenges. Hence, companies adopt SD-WAN solutions to tackle cyber risks and simplify WAN network management. Besides, it is efficient for offloading expensive circuits.
The principle highlights from the study are:
- The appliances division in the SD-WAN market is projected to gain significant share – owing to the growing adoption of cloud platforms.
- The increasing requirement for fast services, application agility, and secure access into cloud applications heightens the demand for SD-WAN solutions.
- The enterprise segment by end-user is most likely to hold a significant share in the market, attributable to the adoption of the associated SD-WAN services.
- This rapid adoption of 5G apps and infrastructure is expected to result in substantial dominance of North America – in the worldwide SD-WAN market.
- With companies globally relying more on remote operations due to the ongoing pandemic, the SD-WAN market is all set to proliferate extensively from now.
As mentioned in the report – “Number of partnerships between service providers and vendors in the SD-WAN marketplace is growing quickly. SD-WAN services offer service providers new opportunities to enhance the consumer experience. This factor is expected to increase adoption of SD-WAN during the forecast period.”
Certainly, the technology advancements in the SD-WAN solutions will boost the market growth. The rising use of cloud, IoT, and mobile applications have increased the need for edge services. In its essence, cloud-based services are the major centers for deploying IT tools as they lower the IT infrastructure costs.
Read More: What’s Your Route to Enterprise AI Adoption?
Moreover, it powers the speed of services for businesses. Hence, the cloud-based solution segment is estimated to witness high demand – due to its wide range of functionalities, including automation, increased flexibility, and faster services.