Using RESTlet with NetSuite Connector Guide

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NetSuite offers many different ways to communicate with NetSuite: SuiteTalk, SuiteScript, and others. While SuiteTalk is a standard SOAP API, NetSuite users can develop their own custom integration with SuiteScript (similar to JavaScript) and expose it as a RESTFul API through RESTlet. Once it is exposed through RESTlet, users can call this API directly with the HTTP Request in Studio or through their preferred browsers, but they need to configure HTTP header with the proper authentication method (i.e. NLAuth nlauth_account=YOURACCOUNT,nlauth_email=YOUREMAILADDRESS,
nlauth_signature=PASSWORDS,nlauth_role=YOURROLE).

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THE NOT-SO-DISTANT FUTURE OF WORK

Article | November 20, 2020

As smart machines, data, and algorithms usher in dramatic technological transformation, its global impact spans from cautious optimism to doomsday scenarios. Widespread transformation, displacement, and disaggregation of world labor markets is speculated in countries like India, with an estimated 600 million workforce by 2022, as well as the global labor market. Even today, we are witnessing the resurgence of 'hybrid' jobs where distinctive human abilities are paired with data and algorithms, and 'super' jobs that involve deep tech. Our historical response to such tectonic shifts and upheavals has been predictable so far - responding with trepidation and uncertainty in the beginning followed by a period of painful transition. Communities and nations that can sense and respond will be able to shape social, economic, and political order decisively. However, with general AI predictably coming of age by 2050-60, governments will need to frame effective policies to respond to their obligations to their citizens. This involves the creation of a new social contract between the individual, enterprise, and state for an inclusive and equitable society. The present age is marked by automation, augmentation, and amplification of human talent by transformative technologies. A typical career may go through 15-20 transitions. And given the gig economy, the shelf-life of skills is rapidly shrinking. Many agree that for the next 30 years, the nature and the volume of jobs will get significantly redefined. So even as it is nearly impossible to gaze into the crystal ball 100 years later, one can take a shot at what jobs may emerge in the next 20-30 years given the present state. So here is a glimpse into the kind of technological changes the next generation might witness that will change the employment scenario: RESTORATION OF BIODIVERSITY Our biodiversity is shrinking frighteningly fast - for both flora and fauna. Extinct species revivalists may be challenged with restoring and reintegrating pertinent elements back into the natural environment. Without biodiversity, humanity will perish. PERSONALIZED HEALTHCARE Medicine is rapidly getting personalized as genome sequencing becomes commonplace. Even today, Elon Musk's Neuralink is working on brain-machine interfaces. So you may soon be able to upload your brain onto a computer where it can be edited, transformed, and re-uploaded back into you. Anti-aging practitioners will be tasked with enhancing human life-spans to ensure we stay productive late into our twilight years. Gene sequencers will help personalize treatments and epigenetic therapists will manipulate gene expression to overcome disease and decay. Brain neurostimulation experts and augmentationists may be commonplace to ensure we are happier, healthier, and disease-free. In fact, happiness itself may get redefined as it shifts from the quality of our relationships to that between man-machine integration. THE QUANTIFIED SELF As more of the populace interact and engage with a digitized world, digital rehabilitators will help you detox and regain your sense of self, which may get inseparably intertwined with smart machines and interfaces. DATA-LED VALUE CREATION Data is exploding at a torrid pace and becoming a source of value-creation. While today's organizations are scrambling to create data lakes, future data-centers will be entrusted with sourcing high-value data, securing rights to it, and even licensing it to others. Data will increasingly create competitive asymmetries amongst organizations and nations. Data brokers will be the new intermediaries and data detectives, analysts, monitors or watchers, auditors, and frackers will emerge as new-age roles. Since data and privacy issues are entwined together, data regulators, ethicists, and trust professionals will thrive. Many new cyber laws will come into existence. HEALING THE PLANET As the world grapples with the specter of climate change, our focus on sustainability and clean energy will intensify. Our landfills are choked with both toxic and non-toxic waste. Plastic alone takes almost 1000 years to degrade, so landfill operators will use earthworm-like robots to help decompose waste and recoup precious recyclable waste. Nuclear fusion will emerge as the new source of clean energy, creating a broad gamut of engineers, designers, integrators, architects, and planners around it. We may even generate power in space. Since our oceans are infested with waste, a lot of initiatives and roles will emerge around cleaning the marine environment to ensure natural habitat and food security. TAMING THE GENOME As technologies like CRISPR and Prime-editing mature, we may see a resurgence of biohackers and programmable healthcare. Our health and nutrition may be algorithmically managed. CRISPR-like advancements will need a swathe of engineers, technicians, auditors, and regulators for genetically engineered health that may overcome a wide variety of diseases for longer life-expectancy. THE RISE OF BOTS Humanoid and non-humanoid robots will need entire workforce ecosystems around them spanning from suppliers, programmers, operators, and maintenance experts to ethicists and UI-designers. Smart robot psychologists will have to counsel them and ensure they are safe and friendly. Regulators may grant varying levels of autonomy to robots. DATA LOADS THE GUN, CREATIVITY FIRES THE TRIGGER Today's deep-learning Generative Adversarial Networks (GANs) can create music like Mozart and paintings like Picasso. Such advancements will give birth to a wide array of AI-enhanced professionals, like musicians, painters, authors, quantum programmers, cybersecurity experts, educators, etc. FROM AUGMENTATION TO AUTONOMY Autonomous driving is about to mature in the next few years and will extend to air and space travel. Safety will exceed human capabilities and we may soon reach a state of diminishing returns where we will employ fewer humans to prevent mishaps and unforeseen occurrences. This industry will need supportive command center managers, traffic analyzers, fleet managers, and people to ensure onboarding experience. BLOCKCHAIN BECOMES PERVASIVE Blockchain will create a lot of jobs for its mainstream and derivative applications. Even though most of its present applications are in Financial Services, Supply Chain, and Asset Management industries, very soon its adoption and integration will be a lot more expansive. Engineers, designers, UI/UX experts, analysts, auditors, and regulators will be required to manage blockchain-related applications. With Crypto being one of its better-known applications, a lot of transaction specialists, miners, insurers, wealth managers, and regulators will be needed. Crypto exchanges will come under the purview of the regulatory framework. 3D PRINTING TURNS GAME-CHANGER Additive manufacturing, also popularly called 3D printing, will mature in its precision, capabilities, and market potential. Lab-grown, 3D-printed food will be part of our regular diet. Transplantable organs will be generated using stem cell research and 3D printing. Amputees and the disabled will adopt 3D-printed limbs and prosthetics. Its applications for high-precision reconstructive surgery are already commonplace. Pills are being 3D printed as we speak. So again, we are looking at 3D printers, operators, material scientists, pharmacists, construction experts, etc. THE COLONIZATION OF OUTER SPACE Amazon's Blue Origin and Elon Musk's SpaceX signal a new horizon. As space tech gets into a new trajectory, a new breed of commercial space pilots, mission planners, launch managers, cargo experts, ground crew, experience designers, etc. will be required. Since we have ravaged the limited resources of our planet already, mankind will need to venture into asteroid mining for rare and precious metals. This will need scouts and surveyors, meteorologists, remote bot operators, remotely managed factories, and whatnot. THE HYPER-CONNECTED WORLD By 2020, we already have anywhere between 50-75 billion connected devices. By 2040, this will likely swell to more than 100 trillion sensors that will spew out a dizzying volume of real-time data ready for analytics and AI. A complete IoT system as we know it is aware, autonomous, and actionable, just like a self-driving car. Imagine the number of data modelers, sensor designers and installers, signal architects and engineers that will be needed. Home automation will be pervasive and smart medicines, implants, and wearables will be the norms of the day. DRONES USHER IN DISRUPTION Unmanned aerial and underwater drones are already becoming ubiquitous for applications in aerial surveillance, delivery, and security. Countries are awakening to their potential as well as possibilities of misuse. Command centers, just like that for space travel, will manage them as countries rush to put in a regulatory framework around them. An army of designers, programmers, security experts, traffic flow optimizers will harness their true potential. SHIELDING YOUR DATA With data come cyber threats, data breaches, cyber warfare, cyber espionage, and a host of other issues. The more data-dependent and connected the world is, the bigger the problem of cybersecurity will be. The severity of the problem will increase manifold from the current issues like phishing, spyware, malware, viruses and worms, ransomware, DoS/ DDoS attacks, hacktivism, and cybersecurity will indeed be big business. The problem is that threats are increasing 10X faster than investments in this space and the interesting thing is that it is a lot more about audits, governance, policies, and compliance than technology alone. FOOD-TECH COMES OF AGE As the world population grows to 9.7 billion people in 2050, cultured food and lab-grown meat will hit our tables to ensure food security. Entire food chains and value delivery networks will see an unprecedented change. Agriculture will be transformed with robotics, IoT, drones, and the food-tech sector will take off in a big way. QUANTUM COMPUTING SOLVES INTRACTABLE PROBLEMS Finally, while the list is very long, let’s touch upon the advent of qubits, or Quantum computing. With its ability to break the best encryption on the planet, the traditional asymmetric encryption, public key infrastructure, digital envelopes, and digital certificates in use today will be rendered useless. Bring in the quantum programmers, analysts, privacy and trust managers, health monitors, etc. As we brace for the world that looms large ahead of us, the biggest enabler that will be transformed itself will be Education 4.0. Education will cease to be a phase in your life. Life-long interventions will be needed to adapt, impart, and shape the skills of individuals that are ready for the future of work. More power to the people!

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Heuristics in Tech Writers Training

Article | November 20, 2020

Cognitive pathway and heuristic evaluation are two methods used to assess systems’ usability based on cognitive engineering, which uses cognitive psychology knowledge to understand the human mind’s skills and limitations to develop user-friendly systems. The cognitive pathway is the evaluation of a system's ease of learning by exploring its interface in which the user's tasks are broken down into actions necessary to perform a given task, and heuristic evaluation is the evaluation of the usability level of the user interfaces through basic rules. Although these two methods are part of the UX discipline, we Tech Writers also use them. Not ipsis litteris, obviously, but abstractly because of what originates them: cognition and heuristics. Cognition is the psychological function that acts in the acquisition of knowledge through logical associations. Heuristic is the human capacity characterized as discovery and/or invention focused on solving problems through experience and creativity. The documentation requests we receive do not always come with in-depth technical and functional specifications. It is not uncommon for us to venture into the system alone to learn and discover how, when, where and why certain functionality is being launched. In our learning and discovery process, we put ourselves in the user's shoes and decompose the necessary actions to carry out their tasks. We test patterns, experiment with basic (and alternative) flows using our experience and creativity to produce complete and detailed documentation. As we develop knowledge in the system we document, we mainly use the recognition heuristic based on the uptake of memories and the recognition of alternatives. We start having dèja-vu when we perceive similarities between the functionalities we already documented. Even if our recognition process becomes more organic and fluid, we still smell rats: why does this form have an extra field? What happens if I fill this field with another value? Tech Writers need to be partly laymen, as there has to be a certain lack of recognition for further inferences to exist. That is why having no background in systems technology can, contrary to popular belief, be extraordinarily favorable for Tech Writers’ training.

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The Revolutionizing Collaboration of Artificial Intelligence in Learning Management System (LMS)

Article | November 20, 2020

With the introduction of Siri and Alexa, AI has transformed our lives with speech-to-text implementations. Scientists are working their brains to make machines as intelligent as they can be. The introduction of AI in the fields of healthcare, security, entertainment is already at its peak. Thus, parallelly AI is being introduced to make work easy in the field of education, transportation, and everything else. The implementation of artificial intelligence in LMS- learning management systems is proved to be a breakthrough in education. The company with AI implementation is paid 40% more than the one without AI. In the current scenario, the world had adapted to the e-Learning platform and its techniques tremendously. Standard LMS is already being utilized widely. However, although it has proved to be a great success in revolutionizing the education sector, it still has a long way to go. And this long way can be easily covered with its opportunity with AI. Before we learn the advantages of artificial intelligence in education, let us educate you about the limitations of standard LMS. Limitations of standard LMS The age-old teaching methods were scientifically and innovatively transformed into a standard LMS. The learning management systems have all the content managed in one place. Evaluators can track progress, give ratings and recommend courses on one platform. The digital learning platform offers a plethora of learning, teaching, and evaluating techniques, but it still has its limitations. • The standard LMS requires a lot of manual labor. • They require human effort to keep the content up-to-date. • They are trainer-focused rather than learner-focused. • It requires tedious effort to introduce different learning styles. The application of AI-based LMS removes all the above limitations and much more. It will streamline the learning process in a better way and provide endless learning opportunities. How will artificial intelligence in LMS prove to be valuable? Personalization The standard LMS has standard content data fed into it. Therefore, all the employees, students, or trainees follow the same procedure of the standard learning module. This is where the application of artificial intelligence in LMS transforms the system. AI enables the LMS to design the learning process according to the individuals opting for the course. For example, if a student/employee chooses a particular course, he can choose whether to read the lessons, watch videos, or study it in any other way. Thus, when a learner learns a course in his kind of way, he grasps and understands well. AI also understands the weaknesses and strengths of the learner and recommends future courses accordingly. Even the quizzes and tasks are determined based on the learner’s knowledge level. So, every learner has a personalized learning course, and a content module in AI-based LMS curated exclusively for him. Automated evaluations and suggestions This is the best advantage when you are transforming AI with LMS. The evaluation process and the suggestions for the future (based on those evaluations) will be immaculately automated. Also, the employers will benefit as they will not have to keep track of employers progress, learning, or training schedules. The support of artificial intelligence in LMS will make this process seamless for employers. It gets more manageable for the managers to track employee’s growth and training. The AI process guarantees faster, convenient, and reliable results. Based on the performance and the results generated, the employer can grant rewards, growth, recognition, and appraisals to the employees. In addition, advanced analytics allows employers to obtain detailed information about the learner’s progress and understanding. With such a positive outlook towards growth, learning, and training, companies' employee retention rate and ROI with artificial intelligence in LMS are high. Personalized Learning Module The learning module of artificial intelligence in LMS is designed to increase the effectiveness of any learning course. The system design courses for learning in minimal time. As a result, the functioning of the LMS module in AI is made engaging and intuitive. Why is it that a learner does not complete his training or does not find it engaging enough? 70% of learners have blamed the content or activity procedure for being boring. This is where the AI-induced LMS proves its worth. This system curates content based on the learner’s interests and then designs the training module accordingly. Thus, the exclusive learning experience is what makes your employer feel connected to the organization. Chatbots and virtual assistants When an employer seeks training, he/she has several questions. These questions need to be answered by the trainer as per the standard LMS. However, some employees will refrain from asking questions due to many possible reasons. This is where chatbots play an essential role. Chatbots are an essential part of artificial intelligence in LMS. Chatbots can answer the queries number of times till the concept is clear. Also, chatbots can predict the questions in a learner’s mind by analyzing their course and study behavior. Chatbots and virtual assistants provide all types of help needed by the trainees. They are a ‘learners guide’ for students. Training beyond territories Organizations have multiple offices across different geographical locations. Therefore, to have a training program schedule for the same department at the same time is difficult. Also, setting up the same programs for different time zones is a tedious task. This is where artificial intelligence in LMS comes to the rescue. This enables offices to train their employees according to the convenience of the employees. In addition, the AI with LMS infrastructure allows the employer to complete the training according to their time zones with no loss of the trainer’s time and organization’s resources. Benefits of introducing LMS with AI in organizations If an organization introduces artificial intelligence in LMS for its organizations, it can work wonders for them. These are some of the benefits of introducing LMS with AI in your organization. • Increase employee retention and engagement by 60%. • Shows the employee that you care about their growth. • Save time and money. • Upskill your current employees efficiently. • Generate personalized content to meet learner’s proficiencies. To sum it all up, By 2025, the investment of companies in AI technology is set to reach $190.61 billion. Thus, this technology assures that employees are well trained, upskilled, and perform complex tasks with minimal issues. Duolingo is one of the best examples of using artificial intelligence in LMS. It uses natural language processing to train its chatbots and provide a personalized experience to the user. It studies the user intricately and then trains them. Artificial intelligence in LMS can be made a part of the current HRIS/HRA system of the organization. This helps the organization achieve growth and development with minimal efforts and shows employees that they matter. There are many factors by which AI with LMS proves better than the standard LMS - personalization being the best one. The streamlining of the training process and providing opportunities to learn in one’s way, time, and language is a win-win situation for both employer and employee. AI may take some time to be utilized entirely as the future of learning management. But when it is executed, it will do wonders for organizations in various sectors. Of course, it will never replace humans in the training programs but will be their biggest support system. Frequently Asked Questions How has AI changed LMS? Artificial Intelligence has played a significant role in changing the standard LMS. AI offers personalized learning, easy evaluation, and automation of all the tasks required in a training program. As a result, it has reduced manual efforts while enhancing the learner’s experience. How is AI used in LMS? AI uses the data fed into it to make decisions. It also determines the activity of the learner and provides him with personalized suggestions. It is used in a chatbot to provide answers and guidance to learners anywhere and anytime. What is the future of AI in LMS? The future of AI in LMS is as bright as it can. AI will suggest, evaluate and automate pieces of training for the learner. It will answer questions and let the learner study according to his convenience and interests. Employers will have a reduced cost of training and a high retention rate once they implement AI in LMS. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How has AI changed LMS?", "acceptedAnswer": { "@type": "Answer", "text": "Artificial Intelligence has played a significant role in changing the standard LMS. AI offers personalized learning, easy evaluation, and automation of all the tasks required in a training program. As a result, it has reduced manual efforts while enhancing the learner’s experience." } },{ "@type": "Question", "name": "How is AI used in LMS?", "acceptedAnswer": { "@type": "Answer", "text": "AI uses the data fed into it to make decisions. It also determines the activity of the learner and provides him with personalized suggestions. It is used in a chatbot to provide answers and guidance to learners anywhere and anytime." } },{ "@type": "Question", "name": "What is the future of AI in LMS?", "acceptedAnswer": { "@type": "Answer", "text": "The future of AI in LMS is as bright as it can. AI will suggest, evaluate and automate pieces of training for the learner. It will answer questions and let the learner study according to his convenience and interests. Employers will have a reduced cost of training and a high retention rate once they implement AI in LMS." } }] }

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MariaDB 10.5.5, 10.4.14, and others now available

Article | November 20, 2020

MariaDB is pleased to announce the immediate availability of MariaDB Server 10.5.5, 10.4.14, 10.3.24, 10.2.33, and 10.1.46. See the release notes and changelogs for details and visit mariadb.com/downloads to download.

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SIBIA Analytics and Consulting Services PL

SIBIA creates analytics solutions with cutting edge web technology and state of the art predictive modeling; and provide ‘Decision Enabling’ applications to business users across industries for marketing, sales and customer intelligence domains.

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