Mobile Test Automation: Why is it Business Critical?

January 14, 2019 | 94 views

As per the “Automation Testing Market by Technology, Testing Type, Service, Endpoint Interface and Region – Global Forecast to 2023” report, the global automation testing market size is expected to grow from USD 8.52 billion in 2018 to USD 19.27 billion by 2023. The major factors that are creating the demand for the automation testing market are the need for digital transformation, the need to adopt DevOps and Agile methodologies, and more – all of which are in turn being driven by the insane growth in the usage of mobile devices and technologies. However, organizations need to keep in mind the fact that while automation testing helps increase the Return on Investment (RoI) – it also may open doors for attacks on data.

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Radiflow is a leading provider of cyber security for critical infrastructure networks. The Radiflow solution provides operators with visibility and control of their OT network; including both non-intrusive Industrial IDS to monitor real-time networks and security gateways to secure access to devices in critical zones.

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AI's Impact on Improving Customer Experience

Article | July 14, 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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The Evolution of Quantum Computing and What its Future Beholds

Article | August 2, 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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SOFTWARE

Language Models: Emerging Types and Why They Matter

Article | July 13, 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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Low-code and No-code: A Business' New Best Friend

Article | July 5, 2022

Businesses are starting to integrate artificial intelligence (AI) into their workflow in greater numbers as a result of the growth of digital transformation and developments in machine learning (ML). As a result, platforms that need no coding, as well as their low-code counterparts, are becoming more popular. This development is a step toward computer science's long-term objective of automating manual coding. Low-code/no-code AI platforms will be beneficial to businesses in more data-driven industries like marketing, sales, and finance. AI can assist in a variety of ways, including automating invoicing, evaluating reports, making intelligent suggestions, and anticipating churn rates. How Does an Organization Look at Low-code/No-code as the Future? Developers and other tech-related positions are in high demand, particularly in the fields of AI and data science. Organizations have the chance to close the gap with the aid of citizen data scientists who don't require an AI professional to design unique AI solutions for many scenarios, thanks to low-code and no-code AI technologies. The demand for technological solutions and AI technologies is rising significantly as the technological landscape rapidly changes. AI systems, for example, require complex software that uses a lot of code, a variety of frameworks, and the Internet of Things (IoT). One person's capacity to comprehend every technical detail is strained by the array of complicated technology. Software delivery must be timely, effective, and secure while maintaining high standards. Conclusion Low-code AI solutions offer the speed, ease of use, and adaptability of ready-made software solutions while also drastically reducing the time to market for AI solutions and the cost of recruiting software and computer vision engineers. Organizations are free to construct the architecture, functionality, or pipeline that best suits their project, the sky being the limit. However, creating such unique models may be both costly and time-consuming. Therefore, employing low-code/no-code platforms would apply to particular pipeline actions that would streamline and accelerate the processes.

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Spotlight

Radiflow

Radiflow is a leading provider of cyber security for critical infrastructure networks. The Radiflow solution provides operators with visibility and control of their OT network; including both non-intrusive Industrial IDS to monitor real-time networks and security gateways to secure access to devices in critical zones.

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Forsta Launches Digital Diaries Mobile App, Enabling a Seamless Customer Journey and Ethnography Capture Across Desktop, Smartphone and Tablet Devices

Forsta | July 06, 2022

Forsta, an industry-leading global provider of market research and customer experience (CX) technology, today announced the launch of its Digital Diaries mobile ethnography app, designed to obtain actionable, qualitative insights at scale. Available on iOS and Android devices, the new mobile app is complementary to Forsta’s existing desktop customer journey and ethnography solution. It is available to users of the Forsta HX (Human Experience) platform, which gathers and analyzes data, and helps insights professionals translate the findings into shareable actions to inform decision-making and drive growth. “Digital Diaries enables the type of deep consumer understanding that can only come with one-on-one interactions with customers sharing their feedback in a way that feels natural to the way they live their lives—on their phones and using text messages, social media and other forms of digital communication. “Digital Diaries, Digital Communities, and our other state-of-the-art, qualitative tools are yet another reason why the Forsta HX Platform is the most powerful, innovative and comprehensive insights technology solution for the CX and market research industries." Brian Bhuta, Chief Product Officer at Forsta Companies can utilize Forsta’s Digital Diaries app to follow along on an individual customer’s journey—for instance, an in-store shopping experience—and gain insights into their choices each step of the way. Insights professionals can recreate in-person focus groups on-the-go, gathering even greater detail via enhanced capabilities such as real-time group discussions, digital polls and photo and video uploading. Brands can concept-test new developments, such as a package redesign or in-store displays, inclusive of important context unattainable by other means. “Forsta Digital Diaries provides us with the most user-friendly software on the market that enables us to conduct qualitative, digital research via participants’ smartphones, with emphasis on uncovering behavior and needs from a distance,” said Emil Buch Jacobsen, Consultant at strategic innovation agency IS IT A BIRD. For consumers and research participants, Forsta’s Digital Diaries now enables a seamless experience across laptop, smartphone and tablet devices, regardless of WiFi connection. This encourages more detailed, accurate descriptions of activities, thoughts and other qualitative feedback to be shared in real-time and delivered when convenient to the customer. CX program leaders, community managers and researchers can respond to customers’ feedback with real-time follow-up questions or prompts, and generate data visualizations such as heat maps and word clouds. About Forsta Forsta powers an Experience and Research Technology Platform that gathers and analyzes data, and translates the findings into shareable actions to inform decision-making and drive growth. Forsta’s technology, combined with its team of expert consultants, helps organizations better understand the full Human Experiences (HX) of their audiences. Forsta is recognized as a Leader in the 2021 Gartner® Magic Quadrant™ for Voice of the Customer.

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Google details how ML helps transcribe, recognize audio in Recorder app

MobileSyrup | December 19, 2019

Following up an extensive explainer on some of the artificial intelligence (AI) and machine learning (ML) technology behind the camera in the Pixel 4, Google’s AI team has posted another blog detailing how the new Recorder app works. Recorder launched on Pixel 4 and recently made its way to older Pixel devices. The app offers the ability to not only record audio but transcribe it and recognize different sounds so users can search through recordings with ease. In the post, Google notes that it built Recorder because “much of the world’s information is conveyed through speech,” which can be difficult to look through to find information after the fact. Google created Recorder to help users find that information. The app uses an on-device machine learning model optimized for long, multi-hour audio sessions. Google also made sure that Recorder could index conversations “by mapping words to timestamps as computed by the speech recognition model.” If you’ve used the Recorder app, this is what allows you to tap on a word in the transcription and start playback from that specific point. It also enables the ability to search recordings for a word and jump directly to that point in the audio.

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Android Q Brings New Privacy and Security Features

SecurityWeek | March 18, 2019

Released in Beta 1 last week, the latest Android iteration (Android Q) arrived with new privacy protection improvements and other security enhancements. Building on previously introduced features such as file-based encryption, lockdown mode, encrypted backups, Google Play Protect, and more, Android Q brings more control over location access, improved transparency, and better data security (many of the enhancements are part of Google’s Project Strobe). In Android Q, for example, apps still need to ask for permission to get location, but users can set different permission levels, such as never, only when the app is in use (running), or all the time (when in the background). “To maintain a good user experience, design your app to gracefully handle when your app doesn't have background location permission or when it doesn't have any access to location,” Google tells application developers. Because users are more likely to grant permissions to an app if they clearly understand the reason for which the app needs them, developers are advised to ask for the location permission from users in context, such as when a feature that requires location is enabled. Developers are also advised to only ask for the level of access required for that feature. The upcoming platform release also provides users with more control over access to shared files, such as photos, videos, and audio collections, via new runtime permissions. Apps will need to use the system file picker for downloads, which allows users to decide which Download files the app can access. Android Q will also prevent apps from launching an Activity while in the background, thus preventing them from coming into focus and taking over the screen. Developers will be able to use high-priority notifications and provide a full-screen intent if their app needs to get the user’s attention quickly.

Read More

SOFTWARE

Forsta Launches Digital Diaries Mobile App, Enabling a Seamless Customer Journey and Ethnography Capture Across Desktop, Smartphone and Tablet Devices

Forsta | July 06, 2022

Forsta, an industry-leading global provider of market research and customer experience (CX) technology, today announced the launch of its Digital Diaries mobile ethnography app, designed to obtain actionable, qualitative insights at scale. Available on iOS and Android devices, the new mobile app is complementary to Forsta’s existing desktop customer journey and ethnography solution. It is available to users of the Forsta HX (Human Experience) platform, which gathers and analyzes data, and helps insights professionals translate the findings into shareable actions to inform decision-making and drive growth. “Digital Diaries enables the type of deep consumer understanding that can only come with one-on-one interactions with customers sharing their feedback in a way that feels natural to the way they live their lives—on their phones and using text messages, social media and other forms of digital communication. “Digital Diaries, Digital Communities, and our other state-of-the-art, qualitative tools are yet another reason why the Forsta HX Platform is the most powerful, innovative and comprehensive insights technology solution for the CX and market research industries." Brian Bhuta, Chief Product Officer at Forsta Companies can utilize Forsta’s Digital Diaries app to follow along on an individual customer’s journey—for instance, an in-store shopping experience—and gain insights into their choices each step of the way. Insights professionals can recreate in-person focus groups on-the-go, gathering even greater detail via enhanced capabilities such as real-time group discussions, digital polls and photo and video uploading. Brands can concept-test new developments, such as a package redesign or in-store displays, inclusive of important context unattainable by other means. “Forsta Digital Diaries provides us with the most user-friendly software on the market that enables us to conduct qualitative, digital research via participants’ smartphones, with emphasis on uncovering behavior and needs from a distance,” said Emil Buch Jacobsen, Consultant at strategic innovation agency IS IT A BIRD. For consumers and research participants, Forsta’s Digital Diaries now enables a seamless experience across laptop, smartphone and tablet devices, regardless of WiFi connection. This encourages more detailed, accurate descriptions of activities, thoughts and other qualitative feedback to be shared in real-time and delivered when convenient to the customer. CX program leaders, community managers and researchers can respond to customers’ feedback with real-time follow-up questions or prompts, and generate data visualizations such as heat maps and word clouds. About Forsta Forsta powers an Experience and Research Technology Platform that gathers and analyzes data, and translates the findings into shareable actions to inform decision-making and drive growth. Forsta’s technology, combined with its team of expert consultants, helps organizations better understand the full Human Experiences (HX) of their audiences. Forsta is recognized as a Leader in the 2021 Gartner® Magic Quadrant™ for Voice of the Customer.

Read More

Google details how ML helps transcribe, recognize audio in Recorder app

MobileSyrup | December 19, 2019

Following up an extensive explainer on some of the artificial intelligence (AI) and machine learning (ML) technology behind the camera in the Pixel 4, Google’s AI team has posted another blog detailing how the new Recorder app works. Recorder launched on Pixel 4 and recently made its way to older Pixel devices. The app offers the ability to not only record audio but transcribe it and recognize different sounds so users can search through recordings with ease. In the post, Google notes that it built Recorder because “much of the world’s information is conveyed through speech,” which can be difficult to look through to find information after the fact. Google created Recorder to help users find that information. The app uses an on-device machine learning model optimized for long, multi-hour audio sessions. Google also made sure that Recorder could index conversations “by mapping words to timestamps as computed by the speech recognition model.” If you’ve used the Recorder app, this is what allows you to tap on a word in the transcription and start playback from that specific point. It also enables the ability to search recordings for a word and jump directly to that point in the audio.

Read More

Android Q Brings New Privacy and Security Features

SecurityWeek | March 18, 2019

Released in Beta 1 last week, the latest Android iteration (Android Q) arrived with new privacy protection improvements and other security enhancements. Building on previously introduced features such as file-based encryption, lockdown mode, encrypted backups, Google Play Protect, and more, Android Q brings more control over location access, improved transparency, and better data security (many of the enhancements are part of Google’s Project Strobe). In Android Q, for example, apps still need to ask for permission to get location, but users can set different permission levels, such as never, only when the app is in use (running), or all the time (when in the background). “To maintain a good user experience, design your app to gracefully handle when your app doesn't have background location permission or when it doesn't have any access to location,” Google tells application developers. Because users are more likely to grant permissions to an app if they clearly understand the reason for which the app needs them, developers are advised to ask for the location permission from users in context, such as when a feature that requires location is enabled. Developers are also advised to only ask for the level of access required for that feature. The upcoming platform release also provides users with more control over access to shared files, such as photos, videos, and audio collections, via new runtime permissions. Apps will need to use the system file picker for downloads, which allows users to decide which Download files the app can access. Android Q will also prevent apps from launching an Activity while in the background, thus preventing them from coming into focus and taking over the screen. Developers will be able to use high-priority notifications and provide a full-screen intent if their app needs to get the user’s attention quickly.

Read More

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