Trending February 2024 # Using Tablets At Events: Innovation, Engagement And Information # Suggested March 2024 # Top 7 Popular

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Tablets are perfect accessories for today’s in-person events, conferences and meetings. Instead of handing over a stack of printed materials, attendees can be given (or loaned) devices that provide them with almost unlimited event information, accurate and updated, at their fingertips as they move from room to room.

Whether you decide to outsource tablets to a specialist or handle the application development and tablet deployment in-house, there are four key steps that will set up your event for maximum success with minimum risk of disruption.

1. Define Your Context

Discussing tablets at “meetings and events” covers a wide swath of information. You already know the details of your event, but the team working on the tablets isn’t going to have the in-depth knowledge you do. This means you need to provide all the context so everyone is on the same page from the beginning. Start by answering a few questions:

    How many attendees are there going to be, and what percentage will be using your tablets? Is this something you’re giving everyone for free, or do they have to ask and pay for it? Is it only for certain attendees, such as session chairs and speakers, or is this for everyone?

    Is this something that will be required to participate in the meeting, or will the tablets be optional, just used to add greater depth? For example, some meeting and conference organizers have used tablets for crowdsourcing participation in sessions: they run polls, get feedback, use them to ask questions of the speakers and even as part of voting during formal meetings. If you go down that path, then anyone without a working tablet can’t participate, and this changes the level of importance of the device.

    What parts of the event will be linked to tablets? Are they just for general event information? Will they be used in sessions to complement the speakers’ audio-visual presentations? Will they be part of any trade show lead gathering or literature distribution? Are the tablets going to be part of any full-day tutorials or side-channel sessions?

    Your goal in setting the context is to settle the big picture of what is going to happen and how the tablets will be used to get everyone on the event and technical implementation teams rowing together. Without the big picture and context, people will come to the project with preconceived notions of what tablets mean and will almost immediately be at cross purposes with each other.

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    2. Describe Your Applications

    In an event or meeting context, a tablet will often be running multiple applications. Tablets are inexpensive, but they’re not cheap, and it’s likely that the full-fledged deployment will be integrated with multiple parts of the event.

    You may also want the tablets to be internet-connected — or you might not. Most people will be walking in the door with smartphones and laptops anyway, so it’s not as if you can block them from scrolling through Instagram during a presentation. But by defining whether “internet” is an application for the tablets as well, you help the team who will configure and deploy the tablets understand what you want.

    By making as complete a picture of the application mix and operation of the devices as possible, you precisely define your vision for how the tablets will work. The more clearly you tell people what you want, the more likely you are to actually get it.

    3. Clarify the Infrastructure

    Events and meetings happen in a different physical space from the typical office. Although venue suppliers do their best to deliver a predictable and solid experience, every event planner knows that something will always go wrong — hopefully nothing major, and nothing that can’t be corrected quickly. When you mix tablets into your event, you’re adding complexity that will make additional demands on the venue’s infrastructure. It pays to think through these things carefully to reduce the risk of problems.

    For example, tablets in events should not depend on high quality Wi-Fi (or cellular coverage) throughout the event. Yes, there will probably be Wi-Fi most of the time, depending on where the attendee is and how many others are near them, but it may or may not work well. So tablets should be self-updating in the background and not require a web connection at all times.

    If you anticipate a lot of data transfer or updates during the event, you may want to have some servers physically located at the event space, so that you’re using the venue’s Wi-Fi but not necessarily their internet link for your high-priority data transfer. An example of this is streaming: If you plan on streaming your event to local tablets, the venue’s internet link may be unpredictable or have insufficient capacity — but if you only need local Wi-Fi without internet, you have a much more controlled environment.

    People have been dragging laptops to meetings and events for decades, so most venues have a way to deliver power for charging already. But you may want to extend that by placing charging stations in common areas, along with other tablet-specific materials such as screen cleaners.

    4. Design the Deployment

    A tablet doesn’t exist by itself — it has to be configured, deployed and supported. Tablet vendors have tools that will make this easier, but there are countless variations to consider. Samsung offers a cloud-based service, Knox Configure, that will grab a tablet as it is powered on the first time, update the operating system, download applications, store local information and lock down the tablet so that it only runs the applications you select.

    Even with the controlled setup of Knox Configure, you still need to tell your technical team how you want the tablets to be deployed. Some aspects are easy, such as event and corporate branding. But there’s a whole lifecycle to consider: Are you going to collect the devices at the end of the event and reuse them? This would call for a configuration that is tightly locked down, reducing the possibility that a user will be tempted to take the tablet home with them, and ensuring that the tablets can be quickly recycled from event to event.

    Attendees who aren’t completely familiar with the devices will also look to you for help if something goes wrong. Having a deployment tool such as Knox Configure that can quickly reconfigure devices will help keep the focus on the event and not on the supporting technology.

    Are the tablets meant to be a gift to attendees? In that case, you can start with an initial configuration with just a one-time push of settings so that the tablet immediately becomes the responsibility of the attendee. Or, you can take a hybrid approach: push a configuration at the start of the event that you can update and control (Knox Configure calls this “dynamic” profile), then convert to a static configuration which returns control to the user as they head out the door on the last day.

    By focusing on these four points: creating context, identifying your application requirements, providing a solid technical infrastructure and designing a solid deployment, you will flesh out a vision of how tablets can improve the user experience at your event — and you will give technical teams enough information to deliver what you need.

    Want to learn more about customizing tablets for event-specific use? Download this free guide to customizing devices, or watch a roundtable discussion on using Knox Configure.

    You're reading Using Tablets At Events: Innovation, Engagement And Information

    Difference Between Information And Data

    What is Data?

    Data is a raw and unorganized fact that required to be processed to make it meaningful. Data can be simple at the same time unorganized unless it is organized. Generally, data comprises facts, observations, perceptions numbers, characters, symbols, image, etc.

    Data is always interpreted, by a human or machine, to derive meaning. So, data is meaningless. Data contains numbers, statements, and characters in a raw form.

    What is Information?

    Information is a set of data which is processed in a meaningful way according to the given requirement. Information is processed, structured, or presented in a given context to make it meaningful and useful.

    It is processed data which includes data that possess context, relevance, and purpose. It also involves manipulation of raw data.

    Information assigns meaning and improves the reliability of the data. It helps to ensure undesirability and reduces uncertainty. So, when the data is transformed into information, it never has any useless details.

    KEY DIFFERENCE

    Data is a raw and unorganized fact that is required to be processed to make it meaningful whereas Information is a set of data that is processed in a meaningful way according to the given requirement.

    Data does not have any specific purpose whereas Information carries a meaning that has been assigned by interpreting data.

    Data alone has no significance while Information is significant by itself.

    Data never depends on Information while Information is dependent on Data.

    Data measured in bits and bytes, on the other hand, Information is measured in meaningful units like time, quantity, etc.

    Data can be structured, tabular data, graph, data tree whereas Information is language, ideas, and thoughts based on the given data.

    Data Vs. Information

    Parameters Data Information

    Description Qualitative Or QuantitativeVariables which helps to develop ideas or conclusions. It is a group of data which carries news and meaning.

    Etymology Data comes from a Latin word, datum, which means “To give something.” Over a time “data” has become the plural of datum. Information word has old French and middle English origins. It has referred to the “act of informing.”. It is mostly used for education or other known communication.

    Format Data is in the form of numbers, letters, or a set of characters. Ideas and inferences

    Represented in It can be structured, tabular data, graph, data tree, etc. Language, ideas, andthoughts based on the given data.

    Meaning Data does not have any specific purpose. It carries meaning that has been assigned by interpreting data.

    Interrelation Information that is collected Information that is processed.

    Feature Data is a single unit and is raw. It alone doesn’t have any meaning. Information is the product and group of data which jointly carry a logical meaning.

    Dependence It never depends on Information It depended on Data.

    Measuring unit Measured in bits and bytes. Measured in meaningful units like time, quantity, etc.

    Support for Decision making It can’t be used for decision making It is widely used for decision making.

    Contains Unprocessed raw factors Processed in a meaningful way

    Knowledge level It is low-level knowledge. It is the second level of knowledge.

    Characteristic Data is the property of an organization and is not available for sale to the public. Information is available for sale to the public.

    Dependency Data depends upon the sources for collecting data. Information depends upon data.

    Example Ticket sales on a band on tour. Sales report by region and venue. It gives information which venue is profitable for that business.

    Significance Data alone has no signifiance. Information is significant by itself.

    Meaning Data is based on records and observations and, which are stored in computers or remembered by a person. Information is considered more reliable than data. It helps the researcher to conduct a proper analysis.

    Usefulness The data collected by the researcher, may or may not be useful. Information is useful and valuable as it is readily available to the researcher for use.

    Dependency Data is never designed to the specific need of the user. Information is always specific to the requirements and expectations because all the irrelevant facts and figures are removed, during the transformation process.

    DIKW (Data Information Knowledge Wisdom)

    DIKW is the model used for discussion of data, information, knowledge, wisdom and their interrelationships. It represents structural or functional relationships between data, information, knowledge, and wisdom.

    Example:

    5 Best Tablets And 5 Best Ultrabooks For Business

    Over the last few years, there have been more changes occurring across the enterprise than in any other market. The corporate world, which was once loath to even consider modifying roadmaps and buying new products without waiting years to see how they held up, has thrown those old models on their head. Now, more companies than ever are investing in new ideas and products.

    As of late, the other mobile form factor worth considering is Ultrabooks. The thin, lightweight, notebook spec created by Intel has made a huge mark on the mobile market. And according to most analysts, in the coming years, they could very well become the most popular notebook form factor on the market.

    But as the enterprise becomes more willing to adopt such devices, it’s also thinking about what it should buy right now. In the following slides, we’re going to examine that, and list the five tablets and five Ultrabooks IT decision-makers should be considering bringing to the office.

    Next tablet: Acer Aspire S3

    Apple’s new iPad, which is slated to hit store shelves on March 16, seems to be an ideal tablet option for today’s enterprise user. It’s the tablet that the vast majority of employees want, plus it combines the new A5X processor with the Retina Display to make it a notable step up over the iPad 2. Furthermore, its 4G LTE integration is ideal for employees who are on the road.

    New iPad

    Next tablet: Acer Aspire S3

    Next tablet: Cisco Cius

    The Acer Aspire S3 is one of the most powerful Ultrabooks on the market, boasting a 13.3-inch LED display, Intel’s Core i5 processor, and a design that will make any client take a second to admire when employees break it out of the bag. Plus, it’s running Windows 7, making it a potentially more useful device than a tablet alternative.

    Acer Aspire S3

    Next tablet: Cisco Cius

    Next tablet: Asus Zenbook

    When Cisco launched the Cius last year, the company made it clear that it didn’t want its device to be an iPad killer. Instead, it hoped that enterprise users would see value in the Cius for its ability to be integrated into existing Cisco products. And although it’s Android-based, it comes with a host of security features that should allay at least some of the fears associated with the operating system.

    Cisco Cius

    Next tablet: Asus Zenbook

    Next tablet: RIM Blackberry Playbook

    The Asus Zenbook combines the key features that make Ultrabooks so special: power and mobility. The device comes with Intel’s Core i3, i5, or i7 processor, depending on the user’s preference, and boasts either an 11.6- or 13.3-inch display. Add that to its inclusion of a USB 3.0 port and Bluetooth 4.0, and it quickly becomes clear the Zenbook is one worth considering for the office this year.

    Image 4: Asus Zenbook

    Next tablet: RIM Blackberry Playbook

    Next ultrabook: Dell XPS

    Research In Motion has been suffering through an exceedingly difficult time over the last couple years as competitors deliver far more appealing devices. Still, the company’s 7-inch BlackBerry PlayBook is at least worth considering for IT decision-makers that are concerned about Android security and see little value in the iPad. And with its recent addition of native e-mail and contacts support, it’s far more appealing than it was previously.

    RIM Blackberry PlayBook

    Next ultrabook: Dell XPS

    Next ultrabook: Sasmsung Galaxy

    Although Dell has lost some of its popularity in the enterprise to companies like HP and Lenovo, the company still delivers a host of high-quality PCs for the corporate world. Chief among them might just be the Dell XPS 13. The Ultrabook boasts a beautifully simple design, and adds serious performance to make it one of the most attractive options in this roundup.

    Dell XPS 13

    Next ultrabook: Samsung Galaxy

    Next ultrabook: Lenovo IdeaPad

    The Samsung Galaxy Tab 10.1 is designed to be the Android-based alternative to Apple’s iPad. It comes with a 10.1-inch screen, 4G LTE connectivity, and an attractive price tag. That said, it’s designed with consumers in mind, and it lacks many of the security features found in the aforementioned Cisco Cius. So, while it might be a worthwhile option for some, it might turn others away.

    Galaxy Tab 101

    Next ultrabook: Lenovo IdeaPad

    Next ultrabook: Lenovo ThinkPad

    Lenovo is one of the top PC makers for enterprise users, and its IdeaPad U300 helps the company continue to appeal to those folks. The device comes with the thin, lightweight design expected from an Ultrabook, and features up to 8 hours of battery life, making it a great option for travelers. Plus, it’s optional 256GB solid-state drive is enough to make any IT decision-maker happy.

    IdeaPad U300

    Next ultrabook: Lenovo ThinkPad

    Next ultrabook: Apple Macbook Air

    Lenovo’s ThinkPad tablet is a unique option for enterprise customers. The device, which is scheduled to get an update to Android 4.0 (Ice Cream Sandwich) in May, works with a stylus. Even better, it can be docked into a keyboard, letting users turn it into a quasi-notebook. Think of the ThinkPad tablet as a half-tablet, half-Ultrabook hybrid. Not bad, right?

    Lenovo ThinkPad

    Next ultrabook: Apple Macbook Air

    Previous ultrabook: Lenovo ThinkPad

    OK, OK, so the MacBook Air isn’t exactly an Ultrabook. But let’s not forget that Apple’s thin notebook was the device that inspired Intel’s new spec. It’s also the device that could greatly impact the adoption of Ultrabooks. So, why might the MacBook Air appeal to enterprise users? It’s well-designed, secure, and perhaps most importantly, benefits from consumerization.

    Macbook Air

    Previous ultrabook: Lenovo ThinkPad

    Data Scientist’s Insights: Strategies For Innovation And Leadership

    Introduction

    Welcome back to the success story interview series with a successful data scientist and our DataHour Speaker, Vidhya Chandrasekaran! In today’s data-driven world, data scientists play a crucial role in helping businesses make informed decisions by analyzing and interpreting data. With their expertise in statistics, machine learning, AI, and programming, they are able to extract meaningful insights from complex datasets.

    Interview Excerpts with Vidhya Chandrasekaran AV: Hello Vidhya! Please introduce yourself and give us an insight into your professional and educational background.

    Vidhya: Hi, I work as a senior manager at PayPal and lead ML and AI product management. I have about 18 years of experience in data and 8 years in leadership. With Bachelor’s in Mathematics and a Masters in Computer applications, I also did a 1 year PG program in AI with Great Lakes. Currently, I am doing my Doctoral research program on Personalization with Data.

    At PayPal, over the past 5 years, I have had the opportunity to lead and build BigData, ML Engineering, AI product, and ML Science teams and initiatives. In my current role, I show the ML for Merchant products and Marketing, building Product recommendations and personalization solutions.

    AV: That sounds spectacular and insightful. You started as a Software Engineer; how did you get into the field of Data Science? AV: I agree. A great mentor can help you climb the corporate ladder easily, which shows in your career trajectory. How do you foster a culture of innovation as a leader in Applied Data Science?

    Vidhya: Unlike research teams, Applied ML teams operate under tight guidelines and strict timelines. Due to these constraints, they sometimes do not have the same luxury to explore new technologies, algorithms and implement new papers. However, I have remained conscious of the importance of innovation in ML teams, where every single day, a copious amount of new things going on.

    Here are some of the strategies that have been instrumental in my management of an applied ML team without compromising on long-term innovation.

    Providing 10 to 15% of the time for working on stretch assignments or research/Proof of concepts.

    Encourage the culture of intra and inter-team collaboration with an emphasis on feedback loops – Innovation happens more in groups than in isolation.

    Allow safe space to fail. Machine learning is experimentation compared to software engineering and has many possibilities of failing. If failing safely is not allowed, the attempt to innovate is curtailed.

    Make innovation a part of the goals.

    AV: Those are some pretty interesting strategies you follow. That’s great! Although, managing a team can be difficult. What do you consider a top challenge in leading a Machine learning and Artificial Intelligence team?

    Vidhya: One of the challenges is striking a fine balance between timely business deliveries and innovation which is a time-intensive process. Apart from the fact that innovation is non-negotiable in any Tech Industry, also as a leader, we are responsible for our team’s careers by providing them opportunities for continuous learning and keeping them motivated, especially in AI and Data Science where the related tech is constantly moving at a faster pace.

    AV: What do you consider is key to succeeding in the Applied AI team?

    Vidhya: Most projects fail due to poor planning. AI Product managers play a key role in this phase. The key first step is understanding the business problem and where AI can solve it. As part of the planning, estimating opportunity sizing and agreeing upon clear, well-defined KPIs is of tantamount importance. A key next step is working backward from the expected outcome to arrive at and crystalize the appropriate metric or KPI. For example, the model could bring more customers to the website or drive new customer acquisition. Model metrics like Precision, Recall, or F1 are often misunderstood as KPI; the business would not worry about the model metrics but would be very much interested in the business metrics.

    Developing capabilities and processes to bring an idea to fruition is another crucial aspect of success. Incorporating capabilities such as data catalog search functionalities, retraining automation, monitoring capabilities, continuous integration, etc., can significantly shorten the time required to test and learn from your ideas. This approach also guarantees that the valuable resources of our teams are not diverted towards monotonous and repetitive tasks but instead utilized to create engaging solutions.

    Try At Least One New Thing in Every Model Development. The ‘newness’ can be anything like a new algorithm, a new type of data that is experimented or different feature engineering techniques.

    Fail Fast: Try to get the model deployment as soon as possible. Going for a perfect model, excellent results, and a new in-the-market algorithm could be enticing but oftentimes comes with an opportunity cost. Try a simpler, lean model to measure success or fail fast as soon as possible. We can always go for improvisation later. Shooting for a faster time to market and incrementally improving it to a cutting-edge model is critical.

    AV: According to your profile, you have teaching experience as a mentor; how do you think that your experience as a mentor has influenced your career growth and success in machine learning?

    Vidhya: Teaching is a great way to learn. I signed up to teach AI/ML on the weekend when I was doing my PG program in AI. When you teach a topic to someone else, you have to organize your thoughts, break down complex concepts into simpler ones, and explain them clearly and concisely.

    I have also learned from mentoring e-commerce business leaders on Data driving marketing. As part of the Chennai Entrepreneurial chapter’s mentorship program. This gave me a perspective on strategic/ structural thinking, decision-making, planning and also made me come out of my comfort zone.

    Vidhya: I followed a disciplined learning approach for many years, spending either regular hours in the week or on the weekends learning from courses, blogs, and books. These days, though I continue my individual learning, I spend lesser time than before as I learn from my team directly when they try novel things; that is a perk of working with a team who are way smarter than you.

    The latest development that I am very excited about, like several others, is what is happening with Generative AI, which seems to have all ingredients to disrupt everything from the creative industry to personalization. This is set to revolutionize the way businesses are done. As more concerns are raised regarding ethics and the possibility of obfuscated narratives, I am curious to see how Governments, organizations, and policymakers create processes to fortify the social fabric against potential threats.

    Vidhya: Although there is no one-size-fits-all approach, I believe that the strategies and plans for transitioning to a data science or ML role are dependent on an individual’s career stage.  Transitioning from a junior role is significantly simpler than a mid-management or a senior-level role.  Those that are individual contributors can start their learning from basics, learning statistics, probability, Mathematics, and basic ML concepts.  There are several free courses and YouTube resources. Following a bottom-up approach is important when learning, as it is easy to get a model done in a few lines of library code. This knowledge is not sustainable.   There are several hackathons that one can compete to learn or just follow along the code to understand different feature engineering and model strategies. Once you have gained sufficient expertise on the concepts, plan to switch over to a team internally that has exposure to ML projects.

    While it is crucial for individuals in senior and middle management positions to comprehend the capabilities of machine learning, it is even more critical to acquire expertise in the broader context of artificial intelligence strategy, engineering, and integration requirements. They can start to identify opportunities to innovate in their own area/project or domain and then communicate the success to their leadership and stakeholders. They can use their small initial successes to build ML capabilities and teams internally.

    Some Resources for learning ML ground up – ML and Deep learning specializations by Andrew NG in coursera:

    Medium and Analytics Vidhya blogs

    Kaggle Kernels

    Conclusion

    In this interview, Vidhya Chandrasekaran’s journey showcases the transformative impact of data science in the technology industry. Her insights, challenges, and strategies for fostering innovation offer valuable lessons for aspiring data scientists and leaders in applied data science.

    Related

    Difference Between Document Load And Domcontentloaded Events In Javascript

    To verify whether a webpage has fully loaded, use the DOMContentLoaded and load events. However, there are some elements that influence people’s choice for one over the other. Let’s have a look at both of them and see how they function.

    The basic HTML page is loaded and its parsing is completed when the DOMContentLoaded event is fired. Stylesheets, sub-frames, and other add-ons like photos and pictures are not delayed by this event until they have finished loading.

    When a page has loaded completely, a different event called load should be invoked. When DOMContentLoaded is more appropriate, it is a common habit to use load instead.

    DOM parsing is paused by synchronous JavaScript. JavaScript can be made asynchronous, and stylesheet loading can be optimised, if you wish the DOM to be parsed as quickly as possible once the user requests the page. Stylesheets that are loaded normally “steal” traffic from the main HTML content and slow down DOM parsing because they are loaded simultaneously.

    Syntax document.addEventListener("DOMContentLoaded", function(e) { console.log("GfG page has loaded"); }); Example

    In this example let us understand how the message, that indicates the completion of loading the DOM of the webpage. It is visible in the console log window right here in the following result, as can be seen below.

    document.addEventListener(“DOMContentLoaded”, function(e) { console.log(“TutorialsPoint page has loaded for you”); });

    Benefits of using the DOMContentLoaded event include

    The user experience is enhanced when messages or content are displayed considerably more quickly.

    Less time is needed for the page to load.

    Document Load − Different methods of execution are used for load events. This event is finished when all of the webpage’s elements, including the DOM hierarchy and related features like the CSS and JavaScript files, images and photographs, and external links, have loaded. Therefore, the load event essentially helps to figure out whenever the page has fully loaded.

    Syntax document.addEventListener("DOMContentLoaded", function(e) { console.log("GfG page has loaded"); }); Example

    The load event is fired for the window object after the entire webpage (HTML), including all supplementary resources like JavaScript, CSS, and pictures, has loaded completely. You use the addEventListener() function to create an event listener to handle the load event.

    Historically, we have used the load event to execute scripts after the document has loaded. There are, however, other situations that might be more suitable.

    DOMContentLoaded and load are the two major events. The former is triggered when all of the external resources, including images and stylesheets, have been loaded by the browser but the DOM tree has not yet been built, according to JavaScript.info, while the latter is triggered when all of the external resources, including images and stylesheets, have been loaded.

    document.addEventListener(“load”, function(e) { console.log(“TutorialsPoint page has loaded completely for you”); });

    Benefits of using a load event

    This event helps to figure out when each element of the webpage has loaded.

    Example

    The browser window is represented by the window object. When the element has done loading, the onload property handles load events. This is used along with the window element to run a script following the completion of the webpage’s loading process. The handler function for this property is set to the function that needs to be run. As soon as the webpage has loaded, the function will be executed.

    Syntax window.onload = function exampleFunction() { } Example

    The script has been already executed up. For the output, look at the console. window.onload = function exampleFunction() { console.log(‘Now, your script will load.’); }

    Samsung Tablets Leak With Monster Ipad Implications

    Samsung tablets leak with monster iPad implications

    Samsung seems to have gained a foothold in the tablet computer universe with their latest batch of Galaxy Tab devices in 2023 and 2023. Earlier this week, Samsung announced two new Android tablets, both of them slight iterations on devices they’d released in the recent past. Here on Friday, a leaked documentation of Samsung tablet plans seems to aim for the stars, showing multiple massive tablets that out-shine even the most extravagant Galaxy tablets released in the past year.

    When we reviewed the Samsung Galaxy Tab S7+ in September of 2023, we called it the best Android slate to date. Since then, Samsung has continue to release different versions of tablets, aiming for multiple price points and multiple sorts of consumer. Here in May of 2023, they’ve just revealed a new Samsung Galaxy Tab A7 Lite as well as a Samsung Galaxy Tab S7 FE. They’re moving full steam ahead with tablets while other companies (save Apple) don’t seem to be finding the opportunity to take a piece of the pie.

    A leak of information this week from TheGalox_ shows a set of three new Android tablets, likely ready for release in the year 2023. These devices appear to be taking spots in 11-inch, 12.4-inch, and 14.6-inch categories. The smallest of these has an 11-inch LTPS TFT display with 120Hz image refresh rate and a wide variety of potential use cases.

    This smallest device appears to share RAM and ROM sizes with the next-biggest device, both of them working with two potential iterations: 8GB RAM and 128GB internal storage or 8GB RAM and 256GB internal storage. The mid-sized tablet here has a 12.4-inch OLED display with 120Hz image refresh rate, something similar to what we’ve seen with the Galaxy Tab S7+.

    The front-facing camera setup on both the 11-inch and 12.4-inch tablets seems to be relatively basic at 8MP, while the full collection of tablets appear to work with a dual-camera setup with 13MP main a 5MP secondary camera, plus LED flash.

    All of these devices will roll with a quad speaker setup and BLE S Pen. That means they’ll be ready to pump out the jams and play movies with volume enough for multiple viewers. The S Pen will likely be relatively similar to what it was with the Galaxy Tab S7+, continuing to work with wireless charging courtesy of a magnetic back charging panel on the tablet.

    The largest of three tablets leaked today looks like it’ll have a 14.6-inch OLED display with 120Hz image refresh rate. This massive tablet appears to be planned for two iterations, one with 8GB RAM and 128GB internal storage, the other with 12GB RAM and 512GB internal storage.

    The largest tablet looks like it’ll have a center-mounted notch with room for both of its front-facing cameras.* With a 14.6-inch panel, this tablet is shown sporting a 92% screen-to-body ratio – that’s beastly. It’s shown in this slide with a direct comparison to the largest-of-large iPad Pro units, too – that comes in at 12.9-inches.

    *This largest Samsung Galaxy tablet appears to be coming with the same 8MP camera up front as the others, but also has a 5MP camera for ultra-wide coverage. As the slide suggests, this could be great for both Home Fitness needs and video conferencing.

    The battery sizes on these tablets looks absurd – in a good way. The smallest shows an 8000mAh battery. The mid-sized tablet shows a 10090mAh battery, and the largest shows a 12000mAh battery. The whole lot is shown with 45W fast charging, too.

    Now we need only cross our fingers and hope that these tablets wont cost more than they’re worth as the most top-tier Android tablets ever produced.

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