Testing Huawei Matepad (Part 1)


Testing Huawei Matepad without Google Play Service in 2023 #huawei #matepad #techtok #test PART 1

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How Can Customer Success Teams Help Your Business Grow?

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In today’s marketplace, attracting new customers and keeping old ones have been the cornerstone of any successful business. It’s because if you succeed in helping your clients reach their goals, you also give them a reason to stay, which helps your business thrive. Thus, a lot of companies are quickly embracing this new strategy centered on helping clients flourish, called customer success. And in this blog, you will learn more about what it is, why it’s important for business, and the role of your customer success team. So let’s get started.

Understanding Customer Success And Its Importance

Customer success is a term used to describe the process of providing an exceptional experience to customers throughout their entire journey with a business. It is an approach to customer service that focuses on helping customers achieve their goals rather than just solving their problems. The ultimate goal of customer success is to ensure that customers successfully use your products or services. If you make it work, they’ll have a reason to stay and foster their relationship with your company. That reduced churn can boost sales as you also generate more leads.

However, know that your commitment goes beyond closing a deal and making them use your products. You should focus on forming a strategic partnership with customers. But “how will I be able to do that?” You may ask. Well, you must:

  • Get a better understanding of your customer’s needs and goals
  • Demonstrate how they can be successful in using your product
  • Monitor customer journey and use their feedback to help you provide better service

To give you a better overview, let’s take a closer look at the job of your customer success team.

Key Responsibilities of Your Customer Success Team


Onboarding is the most crucial part of customer success. It is where you need to make a good impression on your customers. And there are two main strategies you can take for the onboarding process: one-to-many or hands-on. 

A one-to-many approach involves those email campaigns, in-app onboarding, and webinar series that walk your customer through how the product works and how it can help them.

Meanwhile, a hands-on approach is more of doing kick-off calls with each new customer checking out your products and services. For each interaction, your success team must create an implementation plan that outlines their needs and expectations. 

When choosing your approach, always consider your team size and ability to scale. It would be difficult to use the hands-on strategy if you have a small team that caters to a growing number of customers. On the other hand, having a large team can cost you a lot if you’re just starting your business.

Regardless, as soon as your customers begin paying, ensure your team instructs them on best practices and which features of the product will benefit them the most. This way, your customers know what’s coming as they start building a relationship with your company.

Help in Customer Support 

While you have your customer support team dealing with the “my product is broken” type of tickets, your success team still plays a significant role in this task. Initially, the customer success team answers questions that start with “how to.” These how-to questions are essentially related to product adoption, which is crucial to get new prospects on board. 

However, occasionally, your success team may still receive reactive inquiries. And since winning customers’ trust and loyalty is the success team’s mantra, they must still answer these concerns. But if it’s too technical or out of their scope, they must hand it over to the department that specializes in the customer’s issue.

Finding Opportunities To Upsell 

This is a common strategy salespeople from the supermarket do to increase the value of the customer’s initial purchase. However, knowing how most sales clerks you encounter offer unrelated items, your success team should do it the right way. They must first assess the customer’s needs from their purchase. Then, start positioning new solutions and upselling. It can be an offer of a better version of the product or additional products related to the purchases.

For instance, a customer buys a laptop. Your success team could suggest upgrades such as additional memory or a larger hard drive. They could also offer accessories such as a laptop stand, a mouse, or a carrying case. By providing these options, the customer success team helps increase the value of the customer’s purchase.

Monitoring Customer Health Score 

A data-driven business has more advantage than those who do not look at statistics when it comes to making better decisions. Thus, proactively monitoring customer health scores is crucial because it will guide your success team to understand consumers’ experiences and know if they’re at risk of churn. While the scoring system may vary, you usually calculate it based on the product/service usage, login metrics, and reviews. It serves as an excellent indicator of the customer’s tendency to renew or leave. 

Sharing Insights To The Right Teams 

No one knows your customers better than your customer success team. Thus, after they see feedback and identify areas of improvement from it and the health score, they must connect with the appropriate department to address these concerns. For instance, if the issue is specifically about the product’s features, your success team must share the insights with the product and engineering team. That way, they can fix the bugs and other issues as quickly as possible. Additionally, doing it may provide them with some spots for innovations that the company has not yet considered.

Assist In Renewals

Renewals are critical as it also means a reduced churn rate. Given this, your success teams must proactively reach out to customers before their renewal date to improve retention. They should discuss customer experiences and see if you need to make changes to the product or service. Additionally, they should provide renewal options and help them make the best decision for the situation. That way, you ensure that their needs and goals have been met and that they are satisfied with the product or service. 

Help Your Business Grow With Customer Success

Customer success is a strategy that can help get any business off the ground. Because by providing customers with the support they need to get the most out of your products/services, you also build their loyalty and trust. As a result, you improve retention, which leads to increased sales and revenue. 

Moreover, customer success also promotes customer satisfaction. If you get more positive reviews, your brand may create a buzz that would generate more leads, allowing your business to grow. So, start building a customer success team now, and watch as your business thrives as time goes by.

The developments of ChatGPT-4 and what it means for Bing

ChatGPT-4 is a new language model created by OpenAI that can generate text that is similar to human speech. It will advance the technology used by ChatGPT, which is currently based on GPT-3.5. ChatGPT is a chatbot that can converse with users on various topics, such as sports, movies, music, politics, and more. It can also generate creative content such as poems, stories, jokes, and lyrics.

ChatGPT-4 has several new features that make it more powerful and versatile than its predecessor. One of them is the ability to handle not only words, but pictures too . This is called “multimodal” technology, and it allows ChatGPT-4 to understand and respond to visual input. For example, a user can submit a photo of a dog and ask ChatGPT-4 to describe it or write a caption for it.

Another feature of ChatGPT-4 is its improved scalability and performance. ChatGPT-4 has over 500 billion parameters, which are the numerical values that determine how the neural network processes data. This makes it more than twice as large as GPT-3.5, which has 175 billion parameters. More parameters mean more capacity to learn from data and generate diverse and coherent responses.

What does this mean for Bing? As a search engine that aims to provide informative, visual, logical and actionable answers to users’ queries, Bing can benefit from integrating ChatGPT-4 into its platform. ChatGPT-4 can enhance Bing’s conversational capabilities by providing natural and engaging responses to users’ questions. It can also enrich Bing’s visual search by generating relevant captions or descriptions for images. Moreover, ChatGPT-4 can offer users more creative options by generating poems, stories, jokes, lyrics or other content related to their queries.

Of course, ChatGPT-4 is not perfect. It still has limitations and challenges that need to be addressed before it can be widely adopted by Bing or other platforms. For instance,

  • ChatGPT-4 may generate inaccurate or misleading information if it does not have enough data or context to answer a query.
  • ChatGPT-4 may produce offensive or inappropriate content if it does not have proper filters or safeguards in place.
  • ChatGPT-4 may violate intellectual property rights if it copies existing content without attribution or permission.

Therefore, Bing will need to ensure that ChatGPT-4 meets its standards of quality, reliability, safety and ethics before using it as part of its service.

ChatGPT-4 is an exciting development in the field of natural language generation. It has the potential to revolutionize how we interact with computers and access information online. Bing will continue to monitor its progress and explore its possibilities to provide users with the best search experience possible.

The rise of Bing


The implementation of AI chat in bing has led to a surprising question: has #bing become the better #searchengine than #google? #chatgpt #fyp #techtok #ai

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Tiktok is evil!


Tiktok is evil! But ramen noodles are still okay for now #tiktok #EU #espionage #cybersecurity

♬ original sound – lecrab – lecrab

How to Build a Data-Driven Business

Your business is information-driven. You make decisions based on data. And the more data you have at your fingertips, the better off you’ll be. Even though we live in a rapidly digital world, many businesses struggle to adopt digital strategies and adopt new digital tools for operating their businesses more efficiently and effectively. In this blog post, you’ll learn how to build a data-driven business by implementing six steps that will transform your company from a follower of trendsetters into an innovator of their own.

Determine your business goals

Before you can adopt any digital strategy, you’ll need to clearly understand your business goals. This is the first step toward building a data-driven business. Your business goals will help you define what data you want to collect, how you’ll store it, and what you’ll do with it once you have it.

Assign key roles in your organization

When it comes to data management, every department has a role. You’ll have analysts who will collect data, data scientists who will analyze it and business leaders who will decide how to use the data and what kind of impact it has on the business. When you assign key roles to key employees, you give them permission to make decisions based on the data they collect, the analyses they perform and the decisions they make.

Create a data-driven business strategy

Once you’ve determined what data you want to collect, create a data-driven business strategy. This is the backbone of any digital strategy. Data-driven business strategies are focused on two things: – Data collection – Data analysis Both data collection and data analysis are essential to any data-driven strategy. But data collection is more important than you might think. Every business wants to collect data. But not every business has the tools or the desire to collect data. That’s why having a data strategy is so important. Having a data strategy will give you a path forward. It will help you identify what data you need, why you need it, and what data processing and analysis will do for your business.

Set actionable goals

You’ve defined what data you want to collect, what data processing and analysis will do for your business and how you’ll store and use the data once you have it. Now it’s time to set actionable goals. What are actionable goals? These are goals with measurable goals. By setting actionable goals, you not only set yourself up for success but also give your team members confidence to succeed. Actionable goals will help your team members focus on what they do best. Having actionable goals will make your data scientists, analysts and data managers feel more comfortable contributing to your success.

Measure, Monitor and Report

Data-driven businesses collect and analyze data to make informed decisions. But how do you know when all the data you’ve acquired is valuable enough to report? To assess the value of data, you’ll need to measure it. And there are many ways to measure data. One way is to look at the “value-in-use” (Vii) metric. Vii is the overall impact of your data. Another way to measure impact is “value-at-mining” (VaM). VaM is the same metric but with a focus on the ROI of the data acquisition effort.


Digital transformation is a shared aspiration across industries. Companies are embracing this transformation to reach new levels of competitiveness and success. But it’s not just about technology. It’s about culture, management and a willingness to change with the times. To be data-driven, you’ll need to implement a data-driven business strategy, set actionable goals and measure, monitor and report on the data you collect and the impact that data has on your business.

Twitter offers paid SMS verification. What??

4 Tips To Get Started and Make Money While Gaming

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Ever since the first video game was developed in October 1958, video games have come a long, long way. From black and white dots on the screen, we now have augmented reality games that blur the line between reality and fantasy.

Today, gaming has become more than just a hobby. Many people earn extra income while some can even build a fortune playing games. Additionally, today’s video games can help in building your money mindset

Depending on what kind of gamer you are and how much money you want to earn, there are different ways you can make money while gaming.

If you want to increase your income or build a career centered on video gaming, this article is your guide. We will discuss tips to get started and make money while gaming. 

1 – Choose a method that suits you

The video game industry is huge, and there are many ways you can earn money playing video games. Whether you’re a casual or a hardcore gamer, there’s a money-making method that will suit you best.

  • Live streaming – streaming video games is among the most profitable video-game-related jobs out there. In between advertisements, sponsorships, subscriptions, donations, and merchandise sales, popular streamers can earn a lot. If you have a fun and entertaining personality, streaming might work well for you.
  • Journalism – if you’re an excellent writer, you can earn a living by writing about video games and the industry as a whole. You can write for publications, freelance, start a blog, create videos, be a consultant, or do a podcast. 
  • Tutorial/ Walkthrough Creator – if you don’t care much about industry news but you’re well-versed in video game mechanics, creating tutorials and walkthroughs is for you. You can start a YouTube channel and a blog where you can publish all your original guides.
  • eSports – if you have a talent for a particular game genre such as FPS, RTS, or MOBA, you may want to consider going pro. Professional eSports players can earn up to millions of dollars in between sponsorships and competition prizes.
  • Test games – if you have a keen eye for detail and are familiar with game development engines, then a video game tester career might be for you. Developers offer full-time positions to testers while quality assurance companies offer contractual work.
  • Play-to-earn – if you don’t have a particular talent you can use with video games, then play-to-earn games might be worth trying. These games have built-in money-making mechanics that let players earn cryptocurrency just by playing.

2 – Ensure you have a capable rig

Regardless of how you want to make money playing video games, you need a gaming PC capable of running the games you need to be running. If budget is not a problem, having the fastest PC possible would mean you can pursue whatever gaming career you want. Unfortunately, that’s rarely the case, so you want to build a PC that suits your needs.

Being an eSports professional wouldn’t require you to have the fastest PC possible given that most eSports titles, like Valorant and League of Legends, run well on slower rigs. On the other hand, being a gaming video creator or a journalist requires a PC that can run the latest titles smoothly. 

Whatever the money-making path you choose, make sure you have a PC that will work smoothly for the tasks involved. A live streaming setup will require high-definition cameras, a good microphone, and a powerful capture card. Meanwhile, an eSports setup will need top-end peripherals like a mechanical keyboard and a lightweight mouse.

3 – Do your research

Diving into an endeavor knowing next to nothing about it can only result in disaster. Yes, you are a gamer and you know the ins and outs of games, but making money with them is a different thing entirely.

If you’re considering earning extra with play-to-earn games, you want to learn about cryptocurrency and its uses. These games are tied with crypto and it can be a bit confusing for first-timers. If you want to be a video game tester, then you better start reading about game development engines if you want to be good at the job.

How much studying you need to do will depend on the path you choose to take. Live streaming and play-to-earn games won’t take a lot of time to learn, but video game testing and journalism will. Invest enough time into learning to do something before you do it if you want to avoid wasting your effort and resources.

4 – Manage your expectations

Methods of making money while gaming are not made equal. While you can build a fortune being a live streamer or professional eSports player, you can only earn extra income by playing legit money-making games. Before you decide to spend your time and resources on a method, it is important to manage your expectations.

While being a video game tester is a genuine career, it does not pay as well as live streaming and being a professional player. It does, however, offer job security and other benefits. Moreover, live streaming, despite the high ceiling for revenue, can be just as unprofitable as doing nothing if you don’t have a decent audience base.

All methods of making money while gaming have their pros and cons. Learn about them before deciding to go all-in. If you know what to expect, it is easier to handle your losses and you are less likely to be disappointed by the results.

Summing Up

Video games comprise a huge industry and there’s a lot of money for everyone involved — even the consumers. The more you learn about video games, the more equipped you become at making money with it. The key is to know what skills you can utilize and to manage your expectations.

Are we approaching a technical singularity?

The concept of a “technical singularity” refers to the idea that, at some point in the near future, technological advancements will accelerate at an exponential rate, resulting in a rapid and profound transformation of human civilization. This transformation is often imagined to include the development of artificial intelligence that surpasses human intelligence, as well as other technological advancements that fundamentally alter the way we live and work.

One of the key arguments in favor of the idea of a technical singularity is the rapid pace of technological progress in recent decades. In fields such as computer science, genetics, and robotics, researchers have made significant breakthroughs that have led to the development of new technologies and capabilities. For example, the invention of the computer and the internet has led to the creation of vast new digital ecosystems, while advances in genetics have enabled scientists to manipulate the human genome in ways that were once thought impossible.

Another argument in favor of the idea of a technical singularity is the potential of artificial intelligence. Advances in machine learning and neural networks have led to the development of AI systems that can perform tasks that were previously thought to be the exclusive domain of humans, such as playing complex games like Go and chess, and even driving cars. Some experts believe that as these technologies continue to improve, it will eventually be possible to create AI that is capable of self-improvement and recursive self-improvement, leading to a rapid acceleration of intelligence.

However, there are also arguments against the idea of a technical singularity. One of the main criticisms is that the idea of a singularity is based on the assumption that technological progress will continue to accelerate at an exponential rate, which is not necessarily the case. There are many factors that could slow or even halt technological progress, such as economic downturns, political instability, or ethical concerns.

Additionally, some experts also argue that the idea of a singularity is based on a misunderstanding of the nature of intelligence. They argue that intelligence is not a single, monolithic thing, but rather a collection of many different abilities and skills. Therefore, it is unlikely that we will ever create an AI that is truly “superintelligent” in the way that the singularity hypothesis describes.


In conclusion, while there is certainly evidence to suggest that we are approaching a technical singularity, there are also many factors that suggest that this may not be the case. The idea of a singularity is a complex and controversial one, and whether or not it will ultimately come to pass remains to be seen. However, as we continue to make rapid advancements in technology, it is important to consider the potential implications of these developments and to work to ensure that they are used in ways that are safe and beneficial for all.

7 Ways AI Can Help Us Save The Planet

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Our planet is quickly changing—unfortunately, it’s not for the better. The climate isn’t as stable as it used to be, and we’re experiencing unprecedented floods, droughts, and other natural disasters. All of these problems are not new, but they need newer and newer solutions. 

As technology advances, we’ve seen its effect on commerce. We can even start crypto businesses now! It’s all thanks to data and artificial intelligence.

But what if we can use AI to save our natural planet? What if we used it to push corporate sustainability forward? What if AI is the answer we have all been desperately hoping for?

While it might sound too good to be true, AI is actually already helping us combat the environmental issues we’re currently facing. Here’s how: 

  1. AI Encourages Soil Conservation

Soil degradation is one problem we tend to ignore, but it significantly affects our ability to adapt to and survive climate change. 

Did you know it takes a millennium to generate three centimeters of topsoil? In contrast, soil degradation happens much faster, especially when you add deforestation, erosion, chemicals, and global warming into the mix.

It’s a good thing farmers and scientists nowadays are harnessing AI to help conserve our soil, along with sophisticated algorithms, robotics, and drones. Even startups are making agricultural apps that assist farmers in identifying nutrient deficiencies in their soil.

Furthermore, farmers are also using machine learning to forecast the ideal times to sow, water, and harvest crops. They’ll need fewer pesticides and fertilizers that degrade the soil when they have accurate predictions. 

  1. AI Helps Predict Natural Disasters 

One of AI’s most significant achievements so far is its ability to predict natural disasters. These algorithms are used to forecast future events after being trained to read and analyze historical data. We see this in China, where they’re perfecting new AI systems to predict earthquakes much quicker than current technologies.

AI is crucial in this field because it can analyze simulations and real-time data of weather events and disasters in a region. This information can identify vulnerabilities and improve disaster preparation, provide early warning, and prioritize response through the coordination of emergency information capabilities. 

Soon enough, we might be able to integrate deep reinforcement learning into disaster simulations to determine the best response strategies. 

  1. AI Aids in Energy Efficiency

Everyone has to do their part when saving the world, including home and building owners. They can manage their energy use and cut monthly expenses thanks to the Internet of Things and smart devices.

Specific rooms in a house or building can modify their temperature settings using smart thermostats. Smart water sprinklers can adjust water usage depending on weather forecasts. Plus, smart security systems can reduce the number of false alarm calls, saving first responders from making gas-guzzling trips.

With all of these smart devices’ automation, connection, and prediction power, home and building owners can reduce their carbon footprint.

More than conservation, smart energy is also about the best time to use energy. Peak energy periods, such as evenings, have higher demand and costs. With your smart devices, you can automate energy use during low-demand hours.

  1. AI Protects Our Oceans 

One way scientists can monitor the health of our planet is through the ocean. The planet’s surface is changing due to ocean acidification, microplastics, and rising CO2 levels. 

To protect our oceans, we must constantly explore and monitor them for changes. Nowadays, climatologists and oceanographers use AI technology to operate autonomous marine vehicles at the greatest depths. Businesses and non-governmental organizations are also working on autonomous garbage collection devices that could help eliminate floating debris and plastics.

  1. AI Promotes Plastics Recycling 

One way AI helps us lower our carbon impact is through plastic recycling. Unfortunately, 91% of all plastics produced are never recycled. Instead, most plastics end up in landfills or the ocean, harming marine life.

However, AI might help us resolve this issue. For example, many businesses are already exploring ways to effectively recycle plastics using AI, such as employing it to locate used plastics so they may be recycled rather than thrown away or burned.

  1. AI Makes Transportation More Efficient

One of the most polluting industries in the world is transportation. Ships, planes, trains, and automobiles contribute to humanity’s massive carbon footprint. So it’s a good thing AI can improve the sector’s cleanliness and safety.

Vehicles with AI capabilities can reduce energy use by choosing the most energy-efficient routes. There are already self-driving cars on our roads, and fully autonomous vehicles that don’t need human interaction might not be far behind.

  1. AI Evaluates The Efficacy of Action 

AI allows scientists, officials, and policymakers to take a closer look at the existing environmental conditions and identify where solutions can hit the mark and where they might miss. Of course, it’s counterproductive to invest time and resources in subpar solutions. However, that is very likely given the complexity of climate change and adaptation.

With diminishing resources and increased threats, future decisions regarding where to focus our efforts will be difficult. These choices will eventually determine life and death, so we’ll need quick thinking and accurate data. 

Enter AI. It will be our most useful tool when evaluating our options and predicting their effects.

Artificial Intelligence Can Help 

Today’s environmental issues are by no means simple or easy to tackle. All the problems we face are global in scope and date back many years. Finding solutions will take time, but artificial intelligence has definitely emerged as a useful tool. There is hope for the future as we develop this technology in the coming years.

For more insights on technology, check out Le Crab