Using AI to enhance UI testing automation

S. SUPRABATH REDDY | August 4, 2020 | 101 views

Artificial Intelligence (AI) is a sought-after technology today as it performs complicated tasks faster than a human being and significantly reduces human errors. AI is penetrating all types of businesses and sectors like e-commerce, healthcare, and application development. The adoption of AI in the Quality Assurance (QA) sphere is increasing too. Using various AI techniques, we can automatically test changes in the UI and analyze reports to streamline testing and save time. Thus, using AI helps in faster and more accurate testing of the software developed and speeds up its deployment.

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Digital technologies — including mobile, social media, cloud, data analytics, AI and IOT — are fundamentally changing how users interact with businesses, disrupt traditional business models and open up enormous opportunities for new business models. Businesses across industries, from retailers and banks to telecom and energy companies are being forced to adjust their business models to survive the digital disruption. 40% of Fortune 500 companies are expected to cease to exist in 10 years due to digital disruption.

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The Revolutionary Power of 5G in Automation and Industry Digitization

Article | August 2, 2022

Fifth-generation (5G) mobile phone networks that can carry data up to 50 times faster than major carriers' current phone networks are now rolling out. But 5G promises to do more than just speed up our phone service and download times. The mobile industry's fifth-generation (5G) networks are being developed and are prepared for deployment. The expansion of IoT and other intelligent automation applications is being significantly fueled by the advancing 5G networks, which are becoming more widely accessible. For advancements in intelligent automation—the Internet of Things (IoT), Artificial Intelligence (AI), driverless cars, virtual reality, blockchain, and future innovations we haven't even considered yet—5 G's lightning-fast connectivity and low-latency are essential. The arrival of 5G represents more than simply a generational shift for the tech sector as a whole. Contributions by 5G Networks For a number of reasons, the manufacturing sector is moving toward digitalization: to increase revenue by better servicing their customers; to increase demand; to outperform the competition; to reduce costs by boosting productivity and efficiency; and to minimize risk by promoting safety and security. The main requirements and obstacles in the digitization industry were recently recognized by a study. Millions of devices with ultra-reliable, robust, immediate connectivity. Gadgets, which are expensive with a long battery life. Asset tracking along the constantly shifting supply chains. Carrying out remote medical operations. Enhancing the purchasing experience with AR/VR. Implementing AI to improve operations across the board or in various departments. The mobile telecommunications requirements of the Internet of Things cannot be met by the current 4G and 4G LTE networks. Compared to current 4G LTE networking technologies, 5G can also offer a solution to the problem and the quickest network data rate with a relatively low cost and greater communication coverage. The 5G network's quick speeds will lead to new technical developments. The upcoming 5G technology will support hundreds of billions of connections, offer transmission speeds of 10 Gbps, and have an extremely low latency of 1 ms. Additionally, it makes rural areas' services more dependable, minimizing service disparities between rural and urban areas. Even though the 5G network is a development of the 4G and 4G LTE networks, it has a whole new network design and features like virtualization that provide more than impressively fast data speeds.

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SOFTWARE

AI's Impact on Improving Customer Experience

Article | August 8, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

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FUTURE TECH

The Evolution of Quantum Computing and What its Future Beholds

Article | July 26, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

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FUTURE TECH

Language Models: Emerging Types and Why They Matter

Article | July 7, 2022

Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities. Large Language Models Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text. Fine-tuned Language Models Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning. Edge Language Models Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline. As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

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Spotlight

PriceSenz

Digital technologies — including mobile, social media, cloud, data analytics, AI and IOT — are fundamentally changing how users interact with businesses, disrupt traditional business models and open up enormous opportunities for new business models. Businesses across industries, from retailers and banks to telecom and energy companies are being forced to adjust their business models to survive the digital disruption. 40% of Fortune 500 companies are expected to cease to exist in 10 years due to digital disruption.

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UiPath Acquires Re:infer Bringing Natural Language Processing to Enhance Everyday Customer Conversations Through Automation

UiPath | August 02, 2022

Leading enterprise automation software company, UiPath , today announced it has acquired Re:infer, a London-based natural language processing (NLP) company for unstructured documents and communications. Founded in 2015 by Ph.D. scientists from the AI research lab at University College London, Re:infer uses machine learning (ML) technology to mine context from communication messages and transform them into actionable data with speed and accuracy. “Automation and AI are a powerful and natural pair that together empower the vision of the fully automated enterprise™. “Our customers are awash in documents, communications, and data that they need to understand the meaning of and process efficiently. Combining Re:infer’s NLP technology with our Document Understanding and AI products expands the breadth of our current AI-powered automation capabilities and unlocks new automation opportunities for our customers.” Ted Kummert, Executive Vice President, Products & Engineering at UiPath “Automating the interpretation of documents and communications data bridges the gap between humans and information technology systems, and structured and unstructured data to supercharge digital transformation efforts in the enterprise,” said Dr. Ed Challis, CEO and Co-Founder of Re:infer. “We have spent the last seven years building an innovative technology and believe UiPath will take us to another level. We couldn’t be more excited to access UiPath’s power of scale and introduce Re:infer to a new global audience. We’re joining the leader in enterprise automation and it’s an incredible day for us.” Re:infer allows users to deploy custom machine learning models to analyze documents and communications data generated by a typical business each day – data previously lost or ignored due to processing limitations. Their no-code interface allows business users to train their own AI models for greater specificity and flexibility. The self-learning capability continuously improves model accuracy to assist customers in identifying bottlenecks and inefficiencies. Today, this is helping many of the world’s leading enterprises – including large banking, insurance, and e-commerce organizations – scale their services, enhance customer experience, and drive process improvement. This includes Deutsche Bank, Hiscox Ltd., and Farfetch. “By using UiPath and Re:infer together, we have driven significant business impact through automation, enabling automated cataloguing, triaging, and responding to tens of thousands of email-based requests per month,” said Marco Rodriguez, Head of Automation at Hiscox Ltd. “With UiPath and Re:infer, our insurance brokers get instant, automated responses to email requests. Our service-level agreements have been reduced from days to just hours, and we have true, organizational visibility into business conducted over email.” “Businesses are increasingly turning to platforms that combine intelligent automation technologies and solutions to resolve entrenched business problems. Mining for value in the thousands of interactions between a business and its customers each day is an attractive proposition for organizations that want to enrich customer experience, generate new revenue streams, and optimize operational efficiencies,” said Sneha Kapoor, Senior Research Manager, Analyst, and Technology Advisor for IDC Financial Insights. About UiPath UiPath has a vision to deliver the Fully Automated Enterprise™, one where companies use automation to unlock their greatest potential. UiPath offers an end-to-end platform for automation, combining the leading Robotic Process Automation (RPA) solution with a full suite of capabilities that enable every organization to rapidly scale digital business operations.

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SOFTWARE

Calendly Launches API Suite and New Developer Portal

Calendly | April 01, 2022

Calendly, the modern scheduling platform for high-performance teams and individuals, has launched a new Developer Portal that allows customers and partners to use the company's API to embed, build, and integrate custom applications. In addition, developers can use the portal to get tutorials, sample code, developers guides, and API references for integrating Calendly's scheduling features into their program and increasing productivity. Calendly can be integrated with apps to trigger scheduling-related activities in real-time, such as when a user sets, cancels or reschedules events. Administrators can distribute Calendly scheduling page links for their team members directly from their application using the custom integrations. Administrators can easily share their organization's availability with prospects, clients, and others to deliver a straightforward, efficient booking experience. Customers can track and report on scheduled team meetings in order to make informed decisions based on data insights such as meeting time or the number of meetings held to close a deal. Customers can use the Calendly integrate API to embed Calendly on their website and display a scheduling page for fast booking. "Digital agility is the new business strategy, and the best way to achieve it is by modernizing your tech stack with the tools to empower your people and customers. With our APIs, we're making it faster and easier than ever to embed Calendly within current processes and workflows so your organization can focus on doing its best work and less time on scheduling." Alka Tandon, head of product, enterprise, and ecosystem at Calendly Anyone with a Calendly account has access to the APIs. Customers that are on Calendly's Professional, Teams, or Enterprise Plans are eligible to use Webhooks.

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SOFTWARE

AgreeYa Solutions Announces the Release of QuickApps 6.15 for SharePoint

AgreeYa Solutions | May 31, 2021

AgreeYa Solutions, a leader in software, solutions, and services, is pleased to announce the launch of QuickApps 6.15, the latest version of its no-code SharePoint application development and customization solution. The new QuickApps release accelerates SharePoint development, helping organizations create applications like project management, customer relationship management, and help desk systems that are easily supported, maintained, and upgraded. “AgreeYa is focused on providing a fully integrated solution to make sure its customers and partners are equipped with the tools and technology needed to enhance employee and client satisfaction,” said Ajay Kaul, managing partner of AgreeYa Solutions. “Our latest QuickApps release does just that by providing new features and delivering performance improvements to increase productivity and streamline workflows in the SharePoint environment, without the necessity for complex coding.” QuickApps 6.15 introduces the following new features and benefits: Organization chart in qChartView: Enables users to conditionally format nodes of a company chart using the organization chart Node Color Appearance feature. It also allows users to tug the chart for viewing large charts to avoid page scroll. Color Appearance feature in qListView: Supports the creation of custom KPI indicators using provided icons and percentage progress bars. Additionally, SharePoint data can now be exported in the .docx format with qListView. Component Behavior in qListForm: Component Behavior can now be configured using the new “Not Match” operator and applied as validation for input values that do not match the specified regular expression. Support for People Picker Control: QuickApps now provides support for client-side People Picker control, with auto-suggest features like SharePoint forms that enable quick search for available user accounts and groups. Performance Optimization in qChartView: Performance of user details callout of organization chart has been enhanced such that it renders quickly. Quick Edit feature in qListView: Now supports the addition and deletion of records and editing of existing documents. QuickApps 6.15 extends applications beyond their native capabilities to exceed user expectations using tabular forms to save screen space, parent-child relationships to ensure reliable data entry, and hide/show logic to control what data users can access. It delivers sophisticated applications that are easily upgraded when new versions of SharePoint are released. Additionally, QuickApps 6.15 brings data together from an organization’s enterprise application systems without manually copying data into SharePoint to free up resources and satisfy business requirements without costly custom coding. ABOUT AGREEYA SOLUTIONS AgreeYa Solutions is a global systems integrator delivering technology-enabled business solutions to small, medium, and international Fortune 1,000 organizations. It leverages leading-edge technology, consulting, and outsourcing services to boost customer efficiency, productivity and deliver a competitive advantage. Through its consultative approach and utilization of a global delivery model, AgreeYa provides software, services, and cost-effective solutions, achieves results, and transforms businesses. Founded in 1999 and headquartered in Folsom, Calif., with a global footprint, AgreeYa is an SEI CMMI- and ISO 9001:2015-certified Microsoft Gold Partner, with multiple certifications and operations with a team of over 1,800 employees across the world. Its extensive software portfolio includes AgreeYa Chatbot, BeatBlip, QuickApps, Site Administrator, Recovery Manager, and Cogent. AgreeYa is a staffing industry leader, providing full-service staffing solutions to satisfy client workforce needs while driving business value. It also recently introduced new intelligent automation and digital transformation suite to its existing technology stack to assist organizations in combating future crises and venturing into the digital-first world confidently.

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SOFTWARE

UiPath Acquires Re:infer Bringing Natural Language Processing to Enhance Everyday Customer Conversations Through Automation

UiPath | August 02, 2022

Leading enterprise automation software company, UiPath , today announced it has acquired Re:infer, a London-based natural language processing (NLP) company for unstructured documents and communications. Founded in 2015 by Ph.D. scientists from the AI research lab at University College London, Re:infer uses machine learning (ML) technology to mine context from communication messages and transform them into actionable data with speed and accuracy. “Automation and AI are a powerful and natural pair that together empower the vision of the fully automated enterprise™. “Our customers are awash in documents, communications, and data that they need to understand the meaning of and process efficiently. Combining Re:infer’s NLP technology with our Document Understanding and AI products expands the breadth of our current AI-powered automation capabilities and unlocks new automation opportunities for our customers.” Ted Kummert, Executive Vice President, Products & Engineering at UiPath “Automating the interpretation of documents and communications data bridges the gap between humans and information technology systems, and structured and unstructured data to supercharge digital transformation efforts in the enterprise,” said Dr. Ed Challis, CEO and Co-Founder of Re:infer. “We have spent the last seven years building an innovative technology and believe UiPath will take us to another level. We couldn’t be more excited to access UiPath’s power of scale and introduce Re:infer to a new global audience. We’re joining the leader in enterprise automation and it’s an incredible day for us.” Re:infer allows users to deploy custom machine learning models to analyze documents and communications data generated by a typical business each day – data previously lost or ignored due to processing limitations. Their no-code interface allows business users to train their own AI models for greater specificity and flexibility. The self-learning capability continuously improves model accuracy to assist customers in identifying bottlenecks and inefficiencies. Today, this is helping many of the world’s leading enterprises – including large banking, insurance, and e-commerce organizations – scale their services, enhance customer experience, and drive process improvement. This includes Deutsche Bank, Hiscox Ltd., and Farfetch. “By using UiPath and Re:infer together, we have driven significant business impact through automation, enabling automated cataloguing, triaging, and responding to tens of thousands of email-based requests per month,” said Marco Rodriguez, Head of Automation at Hiscox Ltd. “With UiPath and Re:infer, our insurance brokers get instant, automated responses to email requests. Our service-level agreements have been reduced from days to just hours, and we have true, organizational visibility into business conducted over email.” “Businesses are increasingly turning to platforms that combine intelligent automation technologies and solutions to resolve entrenched business problems. Mining for value in the thousands of interactions between a business and its customers each day is an attractive proposition for organizations that want to enrich customer experience, generate new revenue streams, and optimize operational efficiencies,” said Sneha Kapoor, Senior Research Manager, Analyst, and Technology Advisor for IDC Financial Insights. About UiPath UiPath has a vision to deliver the Fully Automated Enterprise™, one where companies use automation to unlock their greatest potential. UiPath offers an end-to-end platform for automation, combining the leading Robotic Process Automation (RPA) solution with a full suite of capabilities that enable every organization to rapidly scale digital business operations.

Read More

SOFTWARE

Calendly Launches API Suite and New Developer Portal

Calendly | April 01, 2022

Calendly, the modern scheduling platform for high-performance teams and individuals, has launched a new Developer Portal that allows customers and partners to use the company's API to embed, build, and integrate custom applications. In addition, developers can use the portal to get tutorials, sample code, developers guides, and API references for integrating Calendly's scheduling features into their program and increasing productivity. Calendly can be integrated with apps to trigger scheduling-related activities in real-time, such as when a user sets, cancels or reschedules events. Administrators can distribute Calendly scheduling page links for their team members directly from their application using the custom integrations. Administrators can easily share their organization's availability with prospects, clients, and others to deliver a straightforward, efficient booking experience. Customers can track and report on scheduled team meetings in order to make informed decisions based on data insights such as meeting time or the number of meetings held to close a deal. Customers can use the Calendly integrate API to embed Calendly on their website and display a scheduling page for fast booking. "Digital agility is the new business strategy, and the best way to achieve it is by modernizing your tech stack with the tools to empower your people and customers. With our APIs, we're making it faster and easier than ever to embed Calendly within current processes and workflows so your organization can focus on doing its best work and less time on scheduling." Alka Tandon, head of product, enterprise, and ecosystem at Calendly Anyone with a Calendly account has access to the APIs. Customers that are on Calendly's Professional, Teams, or Enterprise Plans are eligible to use Webhooks.

Read More

SOFTWARE

AgreeYa Solutions Announces the Release of QuickApps 6.15 for SharePoint

AgreeYa Solutions | May 31, 2021

AgreeYa Solutions, a leader in software, solutions, and services, is pleased to announce the launch of QuickApps 6.15, the latest version of its no-code SharePoint application development and customization solution. The new QuickApps release accelerates SharePoint development, helping organizations create applications like project management, customer relationship management, and help desk systems that are easily supported, maintained, and upgraded. “AgreeYa is focused on providing a fully integrated solution to make sure its customers and partners are equipped with the tools and technology needed to enhance employee and client satisfaction,” said Ajay Kaul, managing partner of AgreeYa Solutions. “Our latest QuickApps release does just that by providing new features and delivering performance improvements to increase productivity and streamline workflows in the SharePoint environment, without the necessity for complex coding.” QuickApps 6.15 introduces the following new features and benefits: Organization chart in qChartView: Enables users to conditionally format nodes of a company chart using the organization chart Node Color Appearance feature. It also allows users to tug the chart for viewing large charts to avoid page scroll. Color Appearance feature in qListView: Supports the creation of custom KPI indicators using provided icons and percentage progress bars. Additionally, SharePoint data can now be exported in the .docx format with qListView. Component Behavior in qListForm: Component Behavior can now be configured using the new “Not Match” operator and applied as validation for input values that do not match the specified regular expression. Support for People Picker Control: QuickApps now provides support for client-side People Picker control, with auto-suggest features like SharePoint forms that enable quick search for available user accounts and groups. Performance Optimization in qChartView: Performance of user details callout of organization chart has been enhanced such that it renders quickly. Quick Edit feature in qListView: Now supports the addition and deletion of records and editing of existing documents. QuickApps 6.15 extends applications beyond their native capabilities to exceed user expectations using tabular forms to save screen space, parent-child relationships to ensure reliable data entry, and hide/show logic to control what data users can access. It delivers sophisticated applications that are easily upgraded when new versions of SharePoint are released. Additionally, QuickApps 6.15 brings data together from an organization’s enterprise application systems without manually copying data into SharePoint to free up resources and satisfy business requirements without costly custom coding. ABOUT AGREEYA SOLUTIONS AgreeYa Solutions is a global systems integrator delivering technology-enabled business solutions to small, medium, and international Fortune 1,000 organizations. It leverages leading-edge technology, consulting, and outsourcing services to boost customer efficiency, productivity and deliver a competitive advantage. Through its consultative approach and utilization of a global delivery model, AgreeYa provides software, services, and cost-effective solutions, achieves results, and transforms businesses. Founded in 1999 and headquartered in Folsom, Calif., with a global footprint, AgreeYa is an SEI CMMI- and ISO 9001:2015-certified Microsoft Gold Partner, with multiple certifications and operations with a team of over 1,800 employees across the world. Its extensive software portfolio includes AgreeYa Chatbot, BeatBlip, QuickApps, Site Administrator, Recovery Manager, and Cogent. AgreeYa is a staffing industry leader, providing full-service staffing solutions to satisfy client workforce needs while driving business value. It also recently introduced new intelligent automation and digital transformation suite to its existing technology stack to assist organizations in combating future crises and venturing into the digital-first world confidently.

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