Monthly Archives: November 2023


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Artificial Intelligence (AI) is revolutionizing how businesses operate. This quick overview highlights how AI transforms decision-making, operations, and customer engagement, playing a pivotal role in driving innovation and efficiency across various industries.

I want introduce you  examples of a businesses that successfully implied AI technology in their business model and now actively using it.

E-obuwie: Revolutionizing Footwear Retail with Cutting-Edge Technology

At the forefront of online footwear retail, e-obuwie stands as a prime example of how advanced technologies, particularly Artificial Intelligence (AI), have reshaped the shopping experience. Founded on the principle of delivering top-notch service and an extensive selection of footwear, e-obuwie seamlessly integrates AI into its business operations.

E-obuwie takes customer satisfaction to a new level by introducing 3D foot scanning technology. This innovative approach ensures a perfect fit for every pair of shoes. Customers can undergo a quick and accurate 3D foot scan, allowing e-obuwie to recommend footwear tailored precisely to their unique foot dimensions. This not only eliminates sizing concerns but also enhances overall comfort and reduces the likelihood of returns. By incorporating 3D foot scans, e-obuwie transforms the shoe shopping experience, providing customers with personalized recommendations that align seamlessly with their individual foot anatomy.

Chatbot Assistance:

E-obuwie streamlines customer support through AI-powered chatbots. These intelligent virtual assistants are designed to answer queries, provide product information, and guide users through the purchasing process. This ensures prompt and efficient customer service, contributing to a smoother overall shopping journey.

With this technology you now don’t have to spend hours to find a perfect shoes. You just need to choose the most suitable one from the AI recommended . This makes the whole shopping process more enjoyable and less time-consuming.

Laneige, a frontrunner in the beauty industry, redefines skincare through a strategic embrace of advanced technologies. Artificial Intelligence (AI) takes center stage in their business model, enhancing customer experiences and product efficacy.

AI-Powered Skin Analysis:

Laneige employs AI algorithms for personalized skin analysis. Through specialized apps or devices, customers can receive tailored skincare recommendations based on their unique skin conditions. This data-driven approach ensures that Laneige products address individual needs, leading to more effective and satisfying skincare outcomes.

You can try this out by using this link

Virtual Try-Ons and Augmented Reality (AR):

In the digital realm, Laneige leverages AR for virtual try-ons, allowing customers to visualize how products will appear on their skin before making a purchase. This interactive feature enhances the online shopping experience, providing a more accurate representation of product results.

Smart Product Formulation:

AI contributes to Laneige’s product development by analyzing vast datasets related to skincare ingredients and their effects. This enables the company to formulate products that are not only on-trend but also backed by scientific insights, catering to the evolving needs and preferences of their customers.

Customer Engagement and Support:

Laneige utilizes AI-powered chatbots to engage with customers, offering real-time assistance, product recommendations, and skincare tips. This not only streamlines customer support but also fosters a sense of personalized interaction, enriching the overall customer journey.

Laneige’s commitment to integrating AI and innovative technologies into their skincare solutions underscores their dedication to providing cutting-edge, personalized, and effective beauty experiences for customers worldwide.

(Also I want to mention that Laneige is a Korean brand, so if you happen to visit Korea you should visit their store where AI can help you to find the right foundation for your skin colour just in 20 minutes)

(this video has more information about it )


Chinese Tech Giants And Ethical Challenges: The Intricacies of Surveillance

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The meteoric rise of China’s tech giants has revolutionized industries around the world. Their innovative solutions in e-commerce, social media, and telecommunications have captured the attention of the world (China’s Digital Supremacy: Leading the Global Revolution, n.d.). However, as their influence spread, concerns about employee privacy have arisen. Surveillance practices in these companies (including facial monitoring and recognition systems or monitoring emotional states with special helmets) have blurred personal and professional boundaries, leaving employees feeling vulnerable.

Picture 1 (China’s Tech Workers Pushed to Limits by Surveillance Software, n.d.)

It is beyond the reasonable shadow of doubt that cases of intrusive surveillance have raised ethical concerns.

The first instance regards, a behavioural perception system developed in 2022 by a Shenzhen-based company. Apart from the awe with innovation, the method sparked outrage after reports revealed its ability to predict employee churn risk by analysing their online activity. The system, which tracking browsing history, conversations with colleagues, and even facial expressions, has raised concerns about its potential to manipulate or exploit employees (Feng, 2022).

A similar case involving the use of invasive worker surveillance also occurred when the Chinese manufacturer Hangzhou Zhongheng Electric implemented a system that uses brainwave monitoring helmets to access the emotional state of its employees (Cole, 2018). Equipped with electroencephalogram (EEG) sensors, the helmets continuously track workers’ brain activity and relay the data to artificial intelligence algorithms “detect emotional spikes such as depression, anxiety or rage” (Chinese Surveillance Programme Mines Data from Workers’ Brains, 2018).

While the company deems the program has increased profits by about 2 billion yuan ($315 million) since its implementation in 2014, there has been a wave of criticism and concerns regarding the ethical implications of such oversight.

The above-mentioned cases highlight the tension between technological advances and employee privacy and raise the question:

“To what extent can we harmonize maximizing workplace efficiency while prioritizing workers’ well-being, all the while safeguarding their privacy?”

Achieving such, seamlessly, utopian harmony requires companies to consider ethical responsibility.

While using technology to increase productivity and security, it is essential to acknowledge that corporate practices must uphold and respect employee privacy without compromise.

Firstly, we need to pay special attention to compliance with local laws in different jurisdictions, particularly in case of companies that operate globally. By maintaining a balance between the operational needs and the basic rights of workers, the tech giants would create a safe space that: i) supports the productivity of their employees, ii) does not invade the individuals’ privacy, iii) does not breach basic human rights (Data Ethics in the Digital Age : Navigating the Ethical Waters of Data in Business | Data Ethics vs. Business Ethics, n.d.).

Secondly, transparent data collection, open communication with employees, and robust security measures are essential. Employees should be informed about the monitoring policies, including the purpose, scope, and the type of data being collected.” (Dos and Don’ts When Implementing Employee Monitoring Software, 2023). Therefore, establishing clear guidelines that would draw the line between monitoring of employees and individual privacy rights would radically change the current critical situation in the Chinese labour market.

Last but not least, fostering international cooperation is vital for establishing global standards that balance technological progress with the protection of workers’ privacy. Thus, by jointly shaping policies and frameworks, global labour leaders—including China—could uphold the sanctity of individual privacy while encouraging technological innovation on a global scale.

Undoubtedly, the implementation of such criteria and procedures would ease Chinese companies to build the trust in the internal workplace environment as well as alleviate global concerns and its bad reputation against the international background.

Now the only question left for discussion is: Does the notion of privacy align at any point with the fundamental priorities and needs of Chinese workers?

Written by Nina Tyśkiewicz



China’s Digital Supremacy: Leading the Global Revolution. (n.d.).

China’s tech workers pushed to limits by surveillance software. (n.d.). Nikkei Asia.

Chinese surveillance programme mines data from workers’ brains. (2018, April 29). South China Morning Post.

Cole, S. (2018, May 1). China Claims It’s Scanning Workers’ Brainwaves to Increase Efficiency and Profits. Vice.

Data Ethics in the Digital Age : Navigating the Ethical Waters of Data in Business | Data Ethics Vs. Business Ethics. (n.d.).

Dos and don’ts when implementing employee monitoring software. (2023, July 11). Employee Monitoring Software and Service – WorkTime.

Feng, J. (2022, February 21). Chinese tech workers outraged by surveillance tool that flags employees who look likely to quit. The China Project.


  1. What are the ways in which Chinese tech companies invade the privacy of its workers?
  2. Provide the examples of surveillance practices within Chinese companies, such as monitoring systems, facial recognition, and data collection, and their implications for employee privacy rights.
  3. Highlight specific examples or case studies to illustrate surveillance practices within Chinese companies.
  4. What are the ethical responsibilities of companies, both Chinese and international when utilising technology in the workplace?
  5. Suggest potential strategies to mitigate privacy concerns for workers in the context of advancing technology.
  6. Explain the impact of Chinese technology on workers’ privacy.

AI Pin: Will smartphones eventually become obsolete?

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A number of disruptive technologies have emerged in recent years that are upending established practices, but one that sticks out as especially fascinating is the AI Pin, often known as the “smartphone killer.” The AI Pin, which was proposed by former Apple workers, is a radical change in the way we think about mobile communications. But is it only a passing trend or a true breakthrough? Let’s investigate more closely. 

According to posts by Cyrek Digital,, and Business Insider, the AI Pin is a wearable gadget that combines artificial intelligence with a screen to offer a hands-free, mobile experience. Numerous concerns regarding the future of smartphones and consumer electronics in general are brought up by its release. 

The AI Pin upends conventional smartphone design in the first place by doing away with the screen, which is perhaps the most crucial component of modern smartphones. The minimalist technology trend, which prioritizes functionality above form, is consistent with this design ethos. But can a gadget without a screen truly take the place of our accustomed multipurpose smartphones? 

Fragment wriitten with llama 2

Furthermore, the AI Pin’s focus on voice control and artificial intelligence aligns with the expanding virtual assistant trend. Although voice assistants offer benefits, there are also privacy and data security issues to be concerned about. How can the AI Pin find its way through these muddy waters, particularly in light of the tech giants’ growing scrutiny of data processing? 

It’s interesting to note that the AI Pin’s release aligns with the expanding digital wellness trend. The gadget might potentially lessen the amount of time spent in front of a computer by eliminating the screen, which could significantly contribute to the rise in cases of digital addiction. Will our connection with technology improve as a result, or will we just become less dependent on displays in favor of voice-activated gadgets? 

Without a question, AI Pin’s vision of an artificial intelligence-driven screenless future is ambitious. It promises a new age of communication, as noted by Business Insider (source: Business Insider). However, user acceptance and adaptation will be the true litmus test. Can customers who have been so ingrained in the smartphone environment transition to this new mode of communication? More significantly, as MamBiznes (source: MamBiznes) suggests, would this invention lead to a more compassionate use of technology? 


To sum up, the AI Pin is a daring move in the direction of reevaluating mobile technology. It is a statement about the direction that technology is headed, not merely a new toy. It remains to be seen if it becomes a mainstay in our technological toolbox or disappears as a cool experiment. The market will be the ultimate arbiter, as always. 


Engine used llama 2 

AI in Gaming

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Artificial intelligence is revolutionizing the gaming industry by creating more responsive, adaptive, and immersive gameplay experiences.

AI in gaming refers to the integration of artificial intelligence techniques and technologies into video games to create more dynamic, responsive, and immersive experiences. This involves programming computer-controlled characters (NPCs) and entities within the game environment to exhibit intelligent behaviors, make decisions, and interact with the player and the game world in a lifelike manner
Some common AI techniques used in gaming include:

Rule-based AI: This type of AI operates on a set of predetermined rules and conditions that dictate the behavior of NPCs within the game.
Finite State Machines: These machines are used to model the behavior of NPCs and other in-game entities.
Decision Trees: AI games use decision trees to guide the behaviors of NPCs and create realistic scenarios.
Procedural Generation: This technique uses algorithms to create game content, such as levels, environments, and stories, on the fly.

Examples of AI in Gaming:
1)Halo franchise: The AI in Halo games is designed to make enemies more intelligent and adaptive, providing a more challenging experience for players.
2)F.E.A.R.: This first-person shooter game uses AI to create a paranormal horror experience, with AI-controlled characters that behave in a realistic and unpredictable manner.
3)Bioshock series: The AI in the Bioshock games is used to create a dynamic and immersive environment, with NPCs that exhibit intelligent behavior and react to the player’s actions.

The Future of AI in Gaming
As AI continues to advance, it is expected to play an increasingly significant role in the gaming industry. Some potential future developments include:
1)Increasingly Complex NPCs: As AI games mature, developers will be able to create more detailed worlds and in-depth characters, providing a more immersive experience for players.
2)Adaptive Gameplay: AI will be used to adapt game levels, pacing, and content in real-time, providing a personalized experience for each player.
3)Live Operations & Updates: Game developers will be able to analyze game performance, player feedback, and sentiment, allowing them to optimize game content and features accordingly.

In conclusion, AI is transforming the gaming industry by creating more engaging, responsive, and immersive experiences. As AI techniques continue to advance, we can expect to see even more innovative and groundbreaking applications in the world of gaming.’s Use of Crowdsourcing with Birdwatch: A Case Study in Effective Misinformation Combat

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Misinformation is a growing problem on social media platforms, posing a significant threat to public discourse and civic engagement. In an effort to combat this issue, has implemented Birdwatch, a crowdsourcing tool that empowers users to identify and contextualize potentially misleading information on the platform. This article examines’s use of Birdwatch and argues that it represents an effective approach to misinformation combat.
Birdwatch: A Crowdsourced Approach to Misinformation
Birdwatch is a community-driven initiative that allows users to flag and add context to tweets that they believe may be misleading. Birdwatch participants, known as “Birdwatchers,” can provide additional information, identify relevant sources, and add annotations to tweets. These annotations are then displayed alongside the tweet, providing users with additional context to make informed judgments about the information they encounter. The benefit of crowdsourcing fact checking is that there is a wide array of viewpoints instead of central fact checking department. If were to use a central fact checking department, all hired internally by X’s own HR department it could lead to a formation of a partisan department which in turn could turn a blind eye to certain posts which are in favour of their own biases.
The Effectiveness of Birdwatch
According to X “people who see a Birdwatch note are, on average, 20-40% less likely to agree with the substance of a potentially misleading Tweet than someone who sees the Tweet alone.” Here we are relying on X’s honesty on the effectiveness of the platform. However, in my own personal experience when I see a community note on the website I will stop and do further analysis on the post to determine its validity and investigate the deeper context in which the post was made.
Arguments in Favor of Birdwatch
There are several reasons why Birdwatch is an effective approach to misinformation combat. First, crowdsourcing allows for a rapid and scalable response to misinformation. Second, Birdwatchers bring a diversity of perspectives to the task of identifying and contextualizing misleading information. Third, the transparency of the Birdwatch process allows users to see how annotations are generated and to evaluate the credibility of the information provided.’s use of Birdwatch represents an effective approach to misinformation combat because it leverages the power of crowdsourcing to rapidly and accurately identify and contextualize misleading information. Birdwatch’s transparency allows users to evaluate the credibility of the information provided and contributes to a more informed online discourse. As the threat of misinformation continues to grow,’s use of Birdwatch provides a valuable model for other social media platforms to follow. Furthermore, when Musk bought Twitter his first goal was to cut spending which drastically reduced the number of employees.
Conclusion’s use of Birdwatch represents an effective and innovative approach to misinformation combat. Crowdsourcing allows for a rapid and scalable response to misinformation, and Birdwatchers bring a diversity of perspectives to the task of identifying and contextualizing misleading information. The transparency of the Birdwatch process also allows users to see how annotations are generated and to evaluate the credibility of the information provided. As the threat of misinformation continues to grow,’s use of Birdwatch provides a valuable model for other social media platforms to follow.
• X
Engine Used: Google Bard

Taste of the future. AI has created a new flavor for Coke.

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It is not a secret that AI is highly implemented in every aspect of our daily lives, be it medicine, car production, or even the fashion industry. Nevertheless, not many of us expect to see AI-created products in our fridges.

However, nowadays the world is full of surprises.  The Coca-Cola Company introduces a new flavor created with the help of AI power and claims that it is the taste of the future. The company has combined technology and taste to create a unique experience for consumers.

Coke Y3000 was ‘co-created with AI’ and is meant to taste like the future.

AI Business

The creation

Coca-Cola ventured into the world of AI-generated flavors after realizing that consumer preferences are constantly changing. In today’s world, where customization and personalization are crucial, the company aimed to develop a drink that would not only cater to diverse tastes but also challenge the limits of what a cola can be.

The heart of this innovative venture lies in the sophisticated AI model that Coca-Cola employed. Trained on a myriad of data points, the AI system learned to understand the intricate nuances of flavor profiles, textures, and aromas. It was programmed to explore unconventional combinations and identify synergies that human taste testers might overlook.

The AI model generated countless possibilities for flavor combinations, and each iteration considered feedback from sensory experts. They took the learnings from each attempt and incorporated them into subsequent ones. The end result was a flavor that went beyond the ordinary, showcasing the potential of AI in the realm of culinary creation.

Is this even edible?

After introducing its AI-generated Coca-Cola flavor, the company eagerly awaits feedback from consumers. Early reviews indicate a positive reception, with many expressing enthusiasm for the innovative approach to beverage creation.

The verdict? It tastes fruity.

AI Business

Many Coca-Cola fans claim that the taste is refreshing and resembles a mix of fruit and bubble gum.


Coca-Cola’s venture into AI-generated flavors is a bold step toward the future of beverage innovation.By leveraging artificial intelligence, the company has not only created a unique and exciting product but has also set the stage for a new era of taste.

This marks a shift in the beverage industry, where technology and taste intersect to create products for a diverse global audience.

This flavor was created to show us an optimistic vision of what’s to come, where humanity and technology are more connected than ever.


Article about the crteation of special test (AI business)

Official site of Coca-Cola about a new taste.

Reviews about new taste. 


Another review: “Y3000: Where Technology Meets Taste in Coca-Cola’s Vision of the Future” (LinkedIn).


AI and Employment Rates in Europe: A Study with Divergent Views

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Artificial Intelligence (AI) has become a pivotal topic in discussions about the future of work, especially in Europe. While there are concerns about AI leading to job losses, a study by the European Central Bank presents a more optimistic view, suggesting a rise in employment rates linked to AI. However, opinions on this matter vary, reflecting the complex and multifaceted nature of AI’s impact on the workforce.

European Central Bank’s Study: A Positive Outlook

According to a study conducted by the European Central Bank, which encompassed 16 European countries, including Germany, France, and the UK, there is a surprising correlation between AI implementation and a slight increase in employment rates. This trend is notably positive for high-skill jobs and younger workers. The study, conducted from 2011 to 2019, also observed that while wages generally weren’t negatively impacted by AI, there was some negative wage growth in jobs highly exposed to AI automation.

The study’s findings are significant as they suggest that AI implementation can have a positive impact on employment rates, especially for high-skill jobs and younger workers. However, the study also highlights the need for policymakers to address the potential negative impact of AI on wages in jobs highly exposed to AI automation.

Goldman Sachs Report: A Cautionary Perspective

Contrasting with the European Central Bank’s findings, a report from Goldman Sachs raises the alarm that AI might replace up to 300 million full-time jobs. The report predicts that about two-thirds of jobs in the US and Europe are exposed to AI automation, and a significant part of the workload (25-50%) of most of these jobs can be replaced by AI. However, the report also acknowledges the potential of AI in creating new job opportunities and triggering a productivity surge.

The report’s findings are significant as they suggest that AI implementation can have both positive and negative impacts on employment rates. While AI can create new job opportunities and increase productivity, it can also lead to job losses and wage stagnation in jobs highly exposed to AI automation. Therefore, it is essential to critically assess both the opportunities and challenges presented by AI in the job market.

Two points of view:

AI as a Complement to Human Jobs

According to proponents of this view, the European Central Bank’s study highlights that AI isn’t a threat to human employment but rather a complement. They argue that AI’s role in automating tasks can lead to more job opportunities, particularly in high-skill areas and among young workers. This opinion emphasises the notion that AI cannot replace human creativity and innovation, ensuring a continued demand for human workers in creative and problem-solving roles.

The Risk of AI-Induced Job Losses

On the other hand, those aligned with the Goldman Sachs report’s cautionary stance point out the potential risks of AI in the job market. They argue that AI’s ability to automate tasks could lead to significant job losses, particularly in sectors where automation is easily implementable. This view acknowledges the dual nature of AI: while it can enhance productivity and create new jobs, it also poses a threat to existing jobs, especially in lower-skilled sectors.


In conclusion, the European Central Bank’s study and the divergent opinions on AI’s impact on employment rates in Europe highlight the complex nature of AI in the modern workforce. While AI offers potential for job creation and increased productivity, there are legitimate concerns about job displacement and wage impacts. As AI technology continues to evolve, it is imperative to monitor its effects on the workforce closely and to develop strategies that maximize its benefits and mitigate its risks. The future of work with AI will likely be one of balance, where human creativity and innovation coexist with AI’s efficiency and automation capabilities.


  • Post reedited with help of AI – ChatGPT

Can AI wipe out real art?

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What Is an AI Art Generator? Features, Benefits and More

AI art production is a controversial topic that has sparked debates among artists, critics, and the general public. Some see AI as a powerful tool that can enhance human creativity and generate novel and original works of art. Others view AI as a threat that can undermine the value and meaning of human art and creativity. In this article, I will examine some of the arguments for and against AI art production, and offer my own perspective on this issue.

One of the main arguments in favor of AI art production is that it can expand the possibilities of artistic expression and exploration. AI can create images, music, text, and other forms of art that humans may not be able to imagine or produce on their own. AI can also learn from large datasets of existing art and generate new variations, combinations, and styles that can inspire human artists. For example, Dall-E 2, an AI image generator developed by OpenAI, can produce realistic and surreal images based on any text prompt, such as “a sea otter in the style of Girl with a Pearl Earring” or “Gollum from The Lord of the Rings feasting on a slice of watermelon” 1. Some of these images can be considered as artistic and creative, and may even evoke emotions and meanings in the viewers.

Imagine AI Art Generator Reigns Supreme In Outshining Its Competitors

Another argument in favor of AI art production is that it can democratize the access and participation in art and culture. AI can lower the barriers of entry and cost for creating and consuming art, and allow more people to express themselves and enjoy art. AI can also enable collaboration and interaction between human and machine artists, and foster new forms of art and culture. For instance, Midjourney, an AI art platform, allows users to create and share AI-generated images using text prompts, and also edit, remix, and comment on other users’ creations 2. Midjourney claims that its mission is to “empower anyone to create and explore art” and that it is “building a community of creators who are passionate about AI and art” 2.

However, not everyone is enthusiastic about AI art production. Some of the main arguments against it are that it can diminish the quality and authenticity of art and creativity. AI can produce art that is superficial, derivative, and lacking in originality and intention. AI can also copy and exploit the work of human artists without their consent and recognition, and violate their intellectual property rights. For example, some AI art generators, such as Deep Dream Generator and Stable Diffusion, rely on databases of already existing art and text to create images from prompts 3. These databases may contain pirated or licensed images that belong to other artists, and the AI may not properly credit or compensate them. Some human artists, such as children’s illustrators, have expressed their concerns and frustrations about the legality and ethics of AI art generators, and launched an online campaign called #NotoAIArt 3.

Artists: AI Image Generators Can Make Copycat Images in Seconds

Another argument against AI art production is that it can devalue and replace the role and skill of human artists and creatives. AI can generate art faster, cheaper, and more efficiently than humans, and may outperform and outsmart them in some tasks and domains. AI can also automate and standardize the process and outcome of art production, and reduce the need and demand for human art and creativity. For example, some AI tools, such as GPT-3, Imagen Video, and Lensa, can generate text, video, and audio content that can be used for various purposes, such as journalism, education, entertainment, and marketing 4. Some critics have predicted that AI will eventually eliminate creative jobs, undermine human creativity, and erode the cultural and social value of art 4.

My own view on AI art production is that it is neither a blessing nor a curse, but rather a challenge and an opportunity for human art and creativity. I think that AI can be a useful and powerful tool that can augment and complement human art and creativity, but not replace or surpass it. I think that AI can create art that is impressive and interesting, but not meaningful and expressive. I think that AI can learn from and collaborate with human artists, but not imitate or compete with them. I think that AI can democratize and diversify art and culture, but not trivialize or homogenize them.

Therefore, I think that the key to AI art production is not to reject or embrace it, but to regulate and integrate it. I think that we need to establish clear and fair rules and standards for the use and development of AI art tools, and protect the rights and interests of human artists and consumers. I think that we need to educate and empower human artists and creatives to use AI art tools effectively and responsibly, and enhance their skills and talents. I think that we need to appreciate and celebrate the diversity and uniqueness of human and machine art, and foster a culture of mutual respect and collaboration. I think that we need to recognize and embrace the potential and limitations of AI art production, and explore its implications and possibilities for the future of art and creativity.


If it wasn’t created by a human artist, is it still art?


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The Impact of Social Media on E-Commerce

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8 Tips on Using Social Media to Boost E-Commerce Conversions

Social media’s influence on e-commerce is a multifaceted phenomenon that has changed the way businesses interact with consumers and market their products. This blog explores the dynamic interplay between social media and e-commerce.

1. Enhancing Brand Awareness and Customer Interaction

Social media platforms have become crucial for increasing brand awareness and customer engagement. Frequent online ads and product promotions, including those from influencers, drive customer loyalty and encourage repeat purchases. The interaction on social media provides direct consumer feedback, which is invaluable for understanding and enhancing the customer journey. This interaction allows e-commerce businesses to not only promote their products but also observe competitors’ products and consumer sentiment, sparking creativity and different approaches to target audiences.

2. Social Commerce: A Growing Phenomenon

Platforms like Instagram and Facebook have integrated shopping features, enabling consumers to make purchases directly within the apps. This seamless experience shortens the journey from discovery to purchase and is a significant aspect of social commerce. For instance, CCM’s integration of lifestyle marketing with shoppable product placements on Instagram exemplifies the effective use of social commerce.

3. The Viral Power of Social Media

Social media campaigns have the potential to go viral overnight, reaching thousands of users with a click. This viral nature, along with the social proof from referrals by friends and contacts, offers a level of credibility and reach that traditional media struggles to match. This is especially relevant considering the amount of time people spend on social media, with Americans spending an average of 1 hour and 15 minutes per day on these platforms.

4. Changing Consumer Behavior and Expectations

Social media has evolved from a mere communication tool to a significant channel influencing consumer behavior in e-commerce. The integration of platforms like Instagram and TikTok into daily routines has led to an increase in online shopping and product research within these apps. Social media is now used not only for purchasing but also for researching products, finding inspiration, and checking content posted by favorite brands. With 75% of internet users using social media for product research, the influence of these platforms on consumer decisions is undeniable.

5. The Mobile-First Shopping Experience

The predominance of mobile usage in accessing social media platforms (about 80% of the time) has necessitated a focus on delivering seamless and enjoyable shopping experiences tailored for smaller screens. Platforms like Instagram and TikTok have become leaders in social commerce, offering various features that allow users to purchase directly from the app.


The impact of social media on e-commerce is profound and multi-dimensional. From enhancing brand visibility to altering consumer behavior, these platforms are indispensable in the current digital marketplace. Understanding and leveraging this interplay is crucial for businesses looking to thrive in the ever-evolving landscape of digital commerce.

6 Ways to Use Social Media for Ecommerce in 2024

Engine Used: Chat GPT 4.0

Dangerous, unpredictable ocean: Is AI the key to unlock and discover the mysterious ocean’s depths?

Reading Time: 4 minutes
Our planet, Earth, is covered 70% by a large area of salt water which we call ocean. The total surface of all oceans in our planet are equal around 361 million kilometers per square.
Based on classification created by International Hydrographic Organization, we distinguish 5 oceans:
1.    The Pacific Ocean – the biggest ocean which occupies around 30% of the whole Earth.  Also, in the western part of the Pacific is located the Marian Trench that for now is known as the deepest place on our planet. The maximum measured depth is 10984 meters under sea level.
2.    The Atlantic Ocean – the second ocean when it comes to surface in the world. This ocean covers 20% of our planet with the biggest trench equal 9219 meters under sea level.
3.    The Indian Ocean – the third-largest ocean that covers 19,8% of the water on Earth’s surface. The deepest trench of this ocean is the Sunda Trench with a maximum depth of 7290 meters under sea level.
4.    The South Ocean – the fourth-largest ocean placed in the south part of our planet. Its deepest part is South Sandwich Trench with the deepest point at level of 8266 under sea.
5.    The Arctic Ocean – the smallest and shallowest ocean on Earth. It is situated around the Arctic. The deepest point of this ocean is the bottom of the region Amundsen around 4650 meters under the sea.
Oceans are badly big that people have discovered only a little part of them. Based on data less than 20% of the world’s ocean floor has been mapped in detail. Of course, humans are still working to create more information about the ocean floor but due to the hard conditions which are there it is a very slow process. However here with help comes AI that is bringing bright future to the exploration of the oceans because it will increase frequency of ocean expeditions and improve their efficiency. So, it is finally time for us to get more information about our planet?

1.    Autonomous Seacraft.

First, AI can be used to automate submersibles that could work on their own. This action will give the opportunity to explore and map the seafloor for twenty-four hours per day. Without any doubt the area of exploration will grow immediately. Also, AI-powered submarines would decrease the risks of human lives from ocean expedition.

On the other hand, building such a vehicle is a risky project due to the condition that is in the deepest part of our oceans. Even the hardest elements which we know for today will not survive undamaged for long time on 8000 meters level under the sea level because of big pressure and corrosiveness of salt water. Unfortunately, today’s building material is going to be destroyed against ocean nature.

2.    Ocean Data Analysis.

Using AI algorithms in oceans exploration can efficiently process and analyze large volumes of precise oceanographic data, including data from satellites, buoys, and underwater sensors.  This capability allows for the rapid identification of patterns, anomalies, and trends in oceanographic variables such as temperature, salinity, and currents. Predicting the ocean’s condition will allow us to prepare properly for the ocean expedition.

However, relying too much on AI ocean analysis can be very misleading because data in the ocean is changing rapidly. Due to these algorithms can be inefficient and can generate wrong output.

3.   Precision Mapping of Ocean Floor.

AI is revolutionizing the process of creating underwaters map thanks to advanced imaging technologies and machine learning algorithms. Sonars powered by this AI technology which are put under the water, are finding underwater resources, identifying potential hazards, and searching for helpful data that is really needed for ocean explorations. Moreover, such gear can measure the depth in unknown parts of oceans.

It is worth saying that very remote environments on large depth under the sea can cause errors in the process of mapping ocean data. Because of the lack of light, it is hard for AI to analyze data which is surrounding it.

4.   Image and Video Analysis of Ocean.

AI-powered image recognition and computer vision can aid in the analysis of underwater imagery and videos. This is particularly useful for identifying marine species, studying underwater ecosystems, and monitoring the health of coral reefs. It is worth to add here that thanks to usage of image and video analysis we will be able to discover and describe new ocean species which have not been discovered before.

Although there are a lot of similar species in the ocean which cannot be correctly identified by AI. Hard conditions in the ocean have influence on bad quality of image and videos taken there. It would create errors or lack in the collected data which will extend the time of working with such ocean data.

Conclusion: AI is the new future of ocean explorations.

To sum up, AI is going to revolutionize ocean exploration. More ocean data will be gathered by it and new categories of submarines will be created. It will allow us to get more information and statistics from our oceans. Moreover, we are going to find new marine species and there is high probability that by using AI we will find new resources in the ocean that will give us power.

Disadvantages of using AI will be too much reliance on AI, data errors and of course costs which are produced by very hard and unpredictable ocean environment.

My opinion about this topic.

My thought about AI technology used in ocean exploration is that we must use it because we are standing in front of huge discovery of unknown places and species in our world. Nevertheless, we should remember that AI is not going to measure for us all mysterious about our water. We as humans need to use it in the correct way to get access to new data about the ocean.

I am looking forward to your comments about this interesting topic that without any doubt will bring us important facts and new information about our oceans.





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