Category Archives: Apps

Why Google and Coursera Are Betting Big on Workflow Learning?

Reading Time: 4 minutes
IMAGE CREDITS: COURSERA.ORG

When you’re trying to pick up a new skill, the hardest part is knowing where to start. There are so many resources out there – tutorials, courses, books, video series – that figuring out a logical path to expertise can seem downright impossible. No wonder so many New Year’s resolutions to learn to code or speak Spanish end up falling by the wayside. But now, two of the biggest names in online education, Google and Coursera, are teaming up to help solve this problem. They’ve joined forces with an Al startup called Lutra to develop “workflow learning” – personalized step-by-step lesson plans that guide you through the complex process of gaining a new competence. If this ambitious initiative lives up to its promise, your days of haphazardly cobbling together tutorials may soon be over. Workflow learning aims to do for skills acquisition what GPS did for navigation – plot the most efficient course so you can stop worrying about the journey and start enjoying the destination.

Google and Coursera’s New Partnership Signals a Shift Towards Workflow Learning

Google and Coursera want to make virtual collaboration as mindless as possible. Their new partnership means your workflows may soon run on autopilot.

Instead of manually coordinating with your team, intelligent software will handle the scheduling, task management and project oversight for you. ###No more chasing down updates or figuring out who’s supposed to do what. The Al overlords have it covered.

How exactly? Coursera’s online courses will now feature Google Spaces, a “digital workspace” where teams can organize work, share files, and assign responsibilities. The Spaces integrate with Google’s productivity tools like Docs, Sheets and Slides so you can collaborate in real time without changing tabs.

The goal is “workflow learning” – picking up teamwork skills through hands-on experience, not just lectures. Students in Coursera’s project management certificate program will use Spaces to complete group assignments, getting a feel for organizing sprints, delegating tasks and streamlining handoffs.

For companies, it means cultivating T-shaped employees with both broad knowledge and specialized expertise. And for you, it means less time spent coordinating with your team and more time focused on the work itself. The robots have your back.

So go ahead, give in to the machines. They just want to make your life easier, increase your productivity, and ensure your team’s success. What could possibly go wrong?

How Lutra.ai Fits Into Google and Coursera’s Workflow Learning Approach

Google and Coursera see dollar signs in your daily workflows. With their new partnership and Lutra ai acquisition, they want to turn your routine tasks into big data and monetize your productivity

Have a spreadsheet you update each morning? They’ll track how long it takes and serve up “personalized tips” to shave off seconds. Respond to lots of emails? They’ll analyze your replies and suggest “optimized responses” to save you time. Talk about a dystopian future where Al monitors your every move under the guise of “helping.”

Sure, increased efficiency sounds great in theory. But do we really want companies logging our every click and keystroke? Talk about privacy concerns. And you just know those “personalized tips” will include “convenient” links to purchase additional Google and Coursera products and services.

While the companies frame their workflow learning approach as empowering, it reeks of data harvesting. The more tasks you complete through their platforms, the more they’ll know about your work habits, preferences and behaviors. They’ll pitch it as “customized experiences,” but really it’s customized exploitation.

No thanks, I’ll stick to managing my own workflows and productivity, Google and Coursera. I don’t need your greedy algorithms all up in my business telling me the “optimal” way to do my job. Some things are better left unoptimized and imperfectly human. Your move, Silicon Valley. Checkmate! 

The Potential Impact of Workflow Learning on Employee Skilling and Reskilling

So Google and Coursera want to teach you new tricks, do they? Well isn’t that special. Apparently, these Silicon Valley savants have decided that “workflow learning“—training you on the job through Al-powered software is the next big thing-

As if we don’t have enough to do already, now the big brains want to “optimize our productivity” by interrupting us with “micro lessons” while we work. Because there’s nothing more engaging than pop-up windows when you’re trying to get stuff done, amirite?

Okay, maybe we’re being a bit harsh. This newfangled workflow learning could actually help in a few ways

  1. No more wasted time in useless meetings or tacky team-building exercises.
    Micro-lessons mean micro-commitments of your time.
  2. Al that actually knows what you need to learn. The all-seeing algorithms will track what skills you use and suggest training to fill in the gaps.
  3. Practice makes perfect. Doing short lessons while working helps reinforce what you’re learning through repetition and real-world application.

The Downside

Of course, there are some potential downsides to consider with this approach:

  1. Distraction overload. Pop-up lessons popping up could seriously disrupt your flow and focus.
  2. Privacy concerns. Do you really want Al monitoring that closely what you do all day? Big Tech is already way too nosy.
  3. Deskilling effect. If Al is spoon-feeding you “just-in-time” skills, will you still work to develop expertise and mastery in your field?

While the promise of workflow learning is intriguing, it may end up causing more problems than it solves. The road to workplace hell, after all, is paved with good intentions. But if done right, it could upskill and empower us in valuable ways. The jury’s still out on this one, folks.

Conclusion

So there you have it, folks, why the tech giants are doubling down on this new frontier of workflow learning. While the notion of Al systems that can dynamically generate personalized learning paths for you may seem a bit creepy or overhyped, don’t dismiss it just yet. After all, we now live in a world where algorithms know our tastes and habits better than we know them ourselves. Rather than railing against the machines, you might as well hop on the workflow learning bandwagon. Let the bots do their thing and guide you to upskill more efficiently. Before you know it, you’ll be acquiring new superpowers at warp speed and wondering how you ever learned without the help of your trusty Al sidekick. The future is here, and Its tailored just for you.

Links worth visiting:

Every single Machine Learning course on the internet, ranked by your reviews

How Does Learning In The Flow Of Work Support Employee Development?

The Future of Learning: It’s in the Flow

Sources:

The article was written using hypotenuse.ai and is based on a TechCrunch article.

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Make money or find true love? The powerful impact of dating apps on e-commerce

Reading Time: 2 minutes

Everyone in life tries to earn money to pay all the bills. But is it the main purpose of human existence? Indeed, from my point of view , everyone always wants and strives to be happy . For example , we buy food , beverages to satisfy our needs and improve our mood. We do a lot of different things just to get positive emotions and find true love among all of that . As a result, love is always the key in our lives that inspires us and gives us wings for new achievements. In this way, technology helps us a lot by allowing people to find the other half of their heart to be completely happy. But what if we deeply analyze these applications and understand that their reason is not only in love, but at the same time in huge money?

The demand for online apps is constantly increasing, making  dating apps a huge online business nowadays.  It is a simple process when you sign up and have many options to choose, but if you want something unique – you always have to pay. In addition, because of registered people from different countries and cultures, dating apps force people to travel more to be able to meet another person face -to-face and to have possibility on personal conversation. It has a huge influence on economic for different countries, because of money spending on tickets, food , drinks and accommodation. When you are actively dating , you always want to look the best that why many surveys show that person who dates spend more money on outfits , makeup issues or just accessories to feel better and have possibility of showing yourself in best way .  Apart from this , the subscription model plays one of the main role in dating apps. The top companies generating a billions of dollars just through a mix of subscription model. Match Group which owns Tinder, Hinge and OkCupid , made a 2$billion in revenue in 2019.Bumble, where women make a first move, is valued at over 3$billion .

Conclusion: Despite of many advantages that dating apps provide, people, as usual ,face with another negative side such as lack of privacy, different views on regional and cultural factors and low self-esteem. From my point of view,  we all need to understand that dating apps  are primarily about making more money , in spite of providing people with true love feelings. That’s why I have never had any experience with these apps and consider them for myself as a very fresh thing that should be definitely adopted in order to provide users with a high level of security first and foremost.Anyway, if you know how to use it in a proper way ,for example, just like an some kind  of inspiration to find a partner for your life – you will definitely can get what you want ,because whoever searches will always find it!

Resources :

1)https://www.livemint.com/technology/adopt-ai-by-putting-right-governance-in-place-maruti-suzuki-s-rajesh-uppal-11702055552855.html

2)https://besedo.com/knowledge-hub/blog/match-made-monetization-commercial-strategies-dating-sites-apps/

3)https://scrippsnews.com/stories/are-dating-apps-bad-for-your-mental-health/

4)https://www.insider.com/conservative-dating-app-thiel-ad-democrat-red-flag-2022-10

5)https://lynettealh.medium.com/the-economics-of-tinder-de7026d5c3ea

AI tool : Hypotenuse AI (statistics about money earned by dating apps)

Can AI wipe out real art?

Reading Time: 4 minutes
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.

source:

https://www.theguardian.com/technology/2022/nov/12/when-ai-can-make-art-what-does-it-mean-for-creativity-dall-e-midjourney

https://www.techradar.com/features/best-ai-art-generators-compared

https://picsart.com/ai-art-generator

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

https://www.newscientist.com/article/2266240-ai-art-critic-can-predict-which-emotions-a-painting-will-evoke/

GOOGLE BARD AI

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Unleash Your Productivity with Notion: A Comprehensive Guide to Organization and Efficiency

Reading Time: 2 minutes

Intro:

In today’s fast-paced world, productivity is paramount. Whether you’re a student juggling multiple assignments, a professional managing complex projects, or simply an individual seeking to streamline your daily life, Notion emerges as a powerful tool to enhance your organizational prowess and elevate your productivity levels.

Notion, an all-in-one workspace, stands as a versatile platform that seamlessly integrates various functionalities, ranging from note-taking and task management to project planning and collaboration. Its customizable nature empowers users to tailor their workspace to their specific needs and preferences, fostering a personalized productivity experience.

Harnessing Notion’s Features for Enhanced Productivity

  1. Centralize Your Information: Notion’s database capabilities allow you to consolidate scattered information into a centralized hub. Create dedicated pages for projects, clients, or personal tasks, keeping everything organized and readily accessible.
  2. Embrace a Modular Approach: Break down large projects into manageable modules, utilizing Notion’s Kanban boards and tables to visualize your workflow and track progress effectively.
  3. Leverage Templates and Automations: Notion’s extensive template library provides a plethora of ready-made structures for various purposes, saving you time and effort. Explore automations to streamline repetitive tasks, freeing up your time for more strategic endeavors.
  4. Foster Collaboration: Notion’s collaborative features enable seamless teamwork, allowing you to share your workspace, assign tasks, and track progress collectively. Brainstorm ideas, share feedback, and collaborate in real-time, enhancing team productivity.
  5. Personalize Your Workspace: Notion’s customization options empower you to create a workspace that reflects your unique style and preferences. Adapt the layout, color schemes, and fonts to match your personality and enhance your productivity ambiance.

Practical Productivity Tips with Notion

  1. Establish a Daily Plan: Begin each day by creating a to-do list, prioritizing tasks based on urgency and importance. Notion’s task management features make this process effortless.
  2. Set Realistic Goals: Break down large goals into smaller, achievable steps to avoid overwhelm and maintain motivation. Notion’s goal-setting templates provide a structured approach to goal achievement.
  3. Eliminate Distractions: Minimize distractions by silencing notifications and utilizing Notion’s full-screen mode to focus on the task at hand.
  4. Schedule Regular Breaks: Incorporate regular breaks into your workflow to prevent burnout and maintain mental clarity. Notion’s reminders feature can help you schedule breaks effectively.
  5. Review and Reflect: Regularly review your progress and reflect on your productivity habits. Notion’s journal templates provide a space for self-reflection and continuous improvement.

Notion: Your Ultimate Productivity Partner

Notion emerges as a transformative tool, empowering individuals and teams to achieve remarkable levels of productivity. Its versatility, adaptability, and collaborative features make it an invaluable asset in today’s demanding world. Embrace Notion’s capabilities, and unleash the potential to streamline your workflow, enhance your organization, and conquer your productivity goals with unwavering efficiency.

Sources:

Deepfakes: Why is it still around if it is so Disruptive

Reading Time: 3 minutes

We all know the existence of deepfake technology but recently there has been many articles about how people have misused deepfake. Some examples are: revenge, p0rnography, political agendas, spreading of misinformation, defamation, etc.
Deepfake was a term coined for synthetic media in 2017 and its technology has only improved since then. So why is this technology still around and why is it not banned if there are so many disadvantages?
Deepfake technology has the potential to revolutionize many industries and bring about a number of benefits. Here are some of the potential benefits of deepfakes:

1. Enhanced creativity and storytelling: Deepfakes can be used to create hyper-realistic content that would be impossible or impractical to produce using traditional methods. This can open up new possibilities for filmmakers, artists, and other creative professionals. For example, deepfakes could be used to create historical dramas featuring actors who are no longer alive, or to bring fictional characters to life in a more realistic way.
2. Personalized marketing and education: Deepfakes can be used to personalize marketing messages and educational materials. For example, a company could use deepfakes to create personalized video ads that feature a customer’s favorite celebrity endorsing the product. Or, a school could use deepfakes to create interactive simulations that help students learn about complex concepts.
3. Improved accessibility and inclusivity: Deepfakes can be used to make content more accessible to people with disabilities. For example, deepfakes could be used to sign language interpretation into videos, or to create audio descriptions of images and videos for people who are blind. Deepfakes could also be used to make content more inclusive, by allowing people to see themselves represented in a wider variety of roles and situations.
4. Enhanced language learning: Deepfakes can be used to create immersive language learning experiences. For example, a language learner could use deepfakes to watch a movie or TV show in their target language with the voices of actors they recognize. This could help them to learn the language more quickly and effectively.
5. Preservation of historical and cultural artifacts: Deepfakes can be used to preserve historical and cultural artifacts. For example, deepfakes could be used to restore old films and videos, or to create virtual reality experiences that allow people to visit historical landmarks.

Deepfake technology, while having potential benefits, also raises concerns about its potential misuse and negative impacts. Disadvantages of deepfakes include:

1. Misinformation and Manipulation: Deepfakes can be used to create and spread misinformation, making it difficult to distinguish between real and fake content. This can be used to manipulate public opinion, influence elections, and damage reputations. For instance, deepfakes could be used to create fake videos of politicians making false statements or celebrities endorsing products they have never used.

2. Erosion of Trust: As deepfakes become more sophisticated and difficult to detect, they can erode public trust in digital media, making it harder to verify the authenticity of information. This can lead to increased skepticism and cynicism, and a decline in the overall quality of online information.
3. Privacy Violations: Deepfakes can be used to create non-consensual pornography or other harmful content featuring individuals’ faces or voices without their permission. This can cause significant emotional distress and damage to individuals’ reputations. Deepfakes can also be used to impersonate individuals to access sensitive information or engage in fraudulent activities.
4. Criminal Activities: Deepfakes can facilitate criminal activities such as fraud, blackmail, and extortion. For example, deepfakes could be used to create fake videos of CEOs making false announcements to manipulate stock prices or to blackmail individuals with compromising images or videos.
5. Social Disruption: Deepfakes can be used to sow discord and social unrest by spreading misinformation, inciting violence, or undermining trust in institutions. For instance, deepfakes could be used to create fake videos of religious leaders making inflammatory statements or to spread false rumors about political figures.

It is crucial to develop safeguards and ethical guidelines to ensure that deepfakes are used responsibly and to minimize their potential for harm. This includes developing detection technologies, raising public awareness about deepfakes, and establishing clear legal and ethical frameworks for their use.
It goes without saying that there are more regulatory boundaries we have to explore as the technology improves, which is evident in India, Virginia, United Kingdom. However, it is not enough to just ban the technology taking into account the benefits it presents. As a growing society it does not send a good message if we only ban new technology, this could hinder growth or even create more wayward behaviour in people.

Sources:
https://www.britannica.com/technology/deepfake
https://techcrunch.com/2022/06/01/2328459/
https://techcrunch.com/2021/04/22/deepfake-tech-takes-on-satellite-maps/
https://techcrunch.com/2020/09/02/microsoft-launches-a-deepfake-detector-tool-ahead-of-us-election/
https://techcrunch.com/2022/03/16/facebook-zelensky-deepfake/
https://techcrunch.com/2022/11/25/deepfake-porn-revenge-porn-uk-law-change/
https://techcrunch.com/2022/12/21/south-park-creators-deepfake-video-startup-deep-voodoo-conjures-20m-in-new-funding/
https://techcrunch.com/2019/07/01/deepfake-revenge-porn-is-now-illegal-in-virginia/
https://techcrunch.com/2023/10/03/how-an-ai-deepfake-ad-of-mrbeast-ended-up-on-tiktok/
https://techcrunch.com/2023/09/26/generative-ai-disinformation-risks/
https://techcrunch.com/2023/11/22/india-seeks-to-regulate-deepfakes-amid-ethical-concerns/

AI used: Bard

Prompts into AI:
Advantages and disadvantages of deepfakes

REVOLUTIONIZING SHOPPING: HOW AR IS TRANSFORMING THE RETAIL EXPERIENCE

Reading Time: 5 minutes

Augmented reality will happen in a big way, and we will wonder when it does, how we ever lived without it. Like we wonder how we lived without our phone today

Tim Cook, CEO, Apple Inc.

INTRODUCTION

In recent years, the retail industry has witnessed a monumental shift in consumer behaviors and expectations. With the advent of technology, businesses have been keen on incorporating innovative solutions to enhance customer experiences. One such technology that has captured the imagination of retailers and consumers is Augmented Reality (AR). It has the potential to reshape the way we shop, both in physical stores and through digital channels.

AR, a technology that overlays virtual elements on the real world, has become a game-changer for the retail sector. It has made traditional shopping more interactive, engaging, and personalized, transforming the way consumers shop. From trying on clothes without stepping into a fitting room to visualizing furniture in their own homes, AR has revolutionized the way retailers connect with their customers.

ENHANCING THE SHOPPING EXPERIENCE

 A major benefit of augmented reality (AR) in the retail sector is its capacity to seamlessly integrate the physical and digital shopping experiences. This technology enables shoppers to combine the ease of online purchasing with the tangible aspects of shopping at a physical store. Using their smartphones or devices equipped with AR, consumers can preview products, evaluate how well they fit their needs, and make purchases effortlessly.

FASHION INDSTRY

Within the fashion industry, augmented reality (AR) has greatly transformed the trying-on process. Shoppers can now use virtual fitting rooms to experiment with clothes in a digital format, bypassing the necessity for actual changing rooms. This not only saves time but also reduces the frustration of trying on multiple outfits. It enables customers to visualize how different apparel choices fit and appear on them, thus diminishing the likelihood of buying items that don’t fit well or don’t meet their expectations.

ZALANDO: TRY ON

Zalando, the online fashion retailer, introduced a new virtual dressing app called “Try On” In a dedicated campaign, customers can create a 3D avatar by entering their height, weight, and gender. They can see how different sizes from various brands fit them, with an indication where the item sits tight or loose on the avatar they created.

FURNITURE INDUSTRY 

Home furnishing retailers have also benefited greatly from AR technology. Previously, picturing how furniture would look in a space was challenging, frequently resulting in unsatisfactory buying choices. Now, thanks to AR, customers have the ability to virtually position furniture items in their own rooms, seeing how well they harmonize with their current decor.

IKEA PLACE APP

IKEA Place simplifies the decision-making process, enabling users to visualize a variety of products, styles, and colors in their own spaces with just a swipe. Developed using Apple’s ARKit technology, IKEA Place represents a significant step in IKEA’s digital transformation altering the future landscape of furniture shopping.

ENHANCED CUSTOMER ENGAGEMENT

AR empowers customers to customize their shopping experiences. With AR-enabled apps or devices, they can visualize products in various colors, styles, and configurations. It also allows retailers to offer targeted recommendations and promotions based on individual customer preferences and behaviors. By analyzing customer data and AR interactions, retailers can provide personalized suggestions and offers that are tailored to specific needs and interests. This personalized approach fosters a deeper connection between the customer and the brand, ultimately leading to increased customer loyalty and satisfaction.

Additionally, AR can facilitate social sharing and user-generated content. Customers enjoy sharing their AR experiences with friends and family on social media platforms, creating a buzz around the brand and its products. User-generated content, such as photos of customers virtually trying on clothes or testing out AR furniture placement, not only provides free advertising for retailers but also creates a sense of community and encourages others to engage with the brand as well.

DRAWBACKS OF AR IN RETAIL 

While Augmented Reality (AR) has numerous benefits for the retail industry, there are also some potential drawbacks and challenges that businesses need to consider.

IMPLEMENTATION COSTS

Integrating Augmented Reality technology into retail operations holds undeniable promise, but it comes at a price. The initial investment in AR hardware and software can be substantial, often posing a significant barrier to entry for smaller and medium-sized businesses with limited budgets. Beyond the initial capital outlay, ongoing expenses such as maintenance, software updates, and technical support must be factored in.

For smaller retailers, these costs can be prohibitive, leaving them unable to harness the full potential of AR. The result is a potential gap in access to this innovative technology, favoring larger corporations with deeper pockets. Thus, the challenge is not only implementing AR but ensuring that it remains economically viable and accessible to a wider range of retailers.

TECHNICAL LIMITATIONS

The effectiveness of AR in retail is directly linked to the devices and applications that support it. To fully participate in AR-powered retail experiences, customers must possess or have access to compatible devices such as smartphones or smart glasses. However, this compatibility requirement poses a significant limitation on the widespread adoption of AR.

Furthermore, the quality of AR experiences can vary considerably depending on the capabilities of the device being used. While a modern and advanced smartphone can deliver a seamless and immersive AR encounter, older models may struggle to provide the same level of immersion and functionality. This inconsistency in the AR experience can lead to customer frustration and creates a hurdle for retailers striving to provide a uniform and captivating shopping experience across a diverse range of devices.

PRIVACY CONCERNS

As retailers adopt AR technology to offer personalized shopping experiences, a crucial issue arises: customer privacy. AR frequently involves the collection and examination of customer data to customize recommendations and interactions. While personalization can enhance the overall customer journey, it must be carefully balanced with robust data privacy measures.

Customers today are increasingly cautious about the usage of their personal information. Any mishandling of data or lack of transparency in its utilization can erode trust and damage a retailer’s reputation. To address privacy concerns effectively, retailers must not only comply with relevant privacy regulations but also implement clear consent mechanisms that empower customers to control how their data is leveraged. Additionally, implementing strong data security measures is imperative to protect sensitive customer information from potential breaches.

CONCLUSION

In conclusion, the path to using the full potential of AR in retail requires a balanced approach. Retailers must carefully weigh the benefits against the challenges, trying to make AR economically viable and accessible to a broader spectrum of businesses. Addressing issues of compatibility and data privacy is vital to ensuring a seamless and secure AR experience for customers.

As AR continues to evolve and consumers become increasingly comfortable with this technology, it is clear that AR will play a pivotal role in shaping the future of retail. The question is not whether AR will become a standard in retail but rather how retailers will navigate these challenges to create a shopping experience that truly leverages the transformative power of augmented reality.

SOURCES

https://www.ikea.com/global/en/newsroom/innovation/ikea-launches-ikea-place-a-new-app-that-allows-people-to-virtually-place-furniture-in-their-home-170912/

https://corporate.zalando.com/en/technology/zalando-brings-virtual-fitting-room-pilot-millions-customers

https://www.netguru.com/blog/augmented-reality-fashion-retail-examples

https://www.linkedin.com/pulse/unlocking-potential-how-augmented-reality-transforms-e-commerce-mw

https://www.linkedin.com/pulse/impact-augmented-reality-ar-retail-marketing?trk=organization_guest_main-feed-card_feed-article-content

https://www.shopify.com/retail/how-retailers-are-using-ar-technology-to-build-buzz-and-brand-awareness

DEEPAI

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MACHINE LEARNING AND IT’S BLISS ON NETFLIX

Reading Time: 4 minutes

INTRODUCTION:

As the world’s leading Internet television network with over 160 million members in over 190 countries, our members enjoy hundreds of millions of hours of content per day, including original series, documentaries and feature films. Of course, all our all-time favourites are right on our hands, and that is where machine learning has taken it’s berth on the podium. This is where we will dive into Machine Learning.

MONEY HEIST(2017)

Machine learning impacts many exciting areas throughout our company. Historically, personalization has been the most well-known area, where machine learning powers our recommendation algorithms. We’re also using machine learning to help shape our catalogue of movies and TV shows by learning characteristics that make content successful. Machine Learning also enables us by giving the freedom to optimize video and audio encoding, adaptive bitrate selection, and our in-house Content Delivery Network.

I believe that using machine learning as a whole can open up a lot of perspectives in our lives, where we need to push forward the state-of-the-art. This means coming up with new ideas and testing them out, be it new models and algorithms or improvements to existing ones.

Operating a large-scale recommendation system is a complex undertaking: it requires high availability and throughput, involves many services and teams, and the environment of the recommender system changes every second. In this we will introduce RecSysOps a set of best practices and lessons that we learned while operating large-scale recommendation systems at Netflix. These practices helped us to keep our system healthy:

 1) reducing our firefighting time, 2) focusing on innovations and 3) building trust with our stakeholders.

RecSysOps has four key components: issue detection, issue prediction, issue diagnosis and issue resolution.

Within the four components of RecSysOps, issue detection is the most critical one because it triggers the rest of steps. Lacking a good issue detection setup is like driving a car with your eyes closed.

ALL YOUR FAVOURITE MOVIES AND TV SHOWS RIGHT HERE!

The very first step is to incorporate all the known best practices from related disciplines, as creating recommendation systems includes procedures like software engineering and machine learning, this includes all DevOps and MLOps practices such as unit testing, integration testing, continuous integration, checks on data volume and checks on model metrics.

The second step is to monitor the system end-to-end from your perspective. In a large-scale recommendation system there are many teams that often are involved and from the perspective of an ML team we have both upstream teams (who provide data) and downstream teams (who consume the model).

The third step for getting a comprehensive coverage is to understand your stakeholders’ concerns. The best way to increase the coverage of the issue detection component. In the context of our recommender systems, they have two major perspectives: our members and items.

Detecting production issues quickly is great but it is even better if we can predict those issues and fix them before they are in production. For example, proper cold-starting of an item (e.g. a new movie, show, or game) is important at Netflix because each item only launches once, just like Zara, after the demand is gone then a new product launches.

Once an issue is identified with either one of detection or prediction models, next phase is to find the root cause. The first step in this process is to reproduce the issue in isolation. The next step after reproducing the issue is to figure out if the issue is related to inputs of the ML model or the model itself. Once the root cause of an issue is identified, the next step is to fix the issue. This part is similar to typical software engineering: we can have a short-term hotfix or a long-term solution. Beyond fixing the issue another phase of issue resolution is improving RecSysOps itself. Finally, it is important to make RecSysOps as frictionless as possible. This makes the operations smooth and the system more reliable.

NETFLIX: A BLESSING IN DISGUISE

To conclude In this blog post I introduced RecSysOps with a set of best practices and lessons that we’ve learned at Netflix. I think these patterns are useful to consider for anyone operating a real-world recommendation system to keep it performing well and improve it over time. Overall, putting these aspects together has helped us significantly reduce issues, increased trust with our stakeholders, and allowed us to focus on innovation.

BY: SHANNUL H. MAWLONG

Sources: https://netflixtechblog.medium.com/recsysops-best-practices-for-operating-a-large-scale-recommender-system-95bbe195a841

https://research.netflix.com/research-area/machine-learning

References:

[1] Eric Breck, Shanqing Cai, Eric Nielsen, Michael Salib, and D. Sculley. 2017. The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction. In Proceedings of IEEE Big Data.Google Scholar

[2] Scott M Lundberg and Su-In Lee. 2017. A Unified Approach to Interpreting Model Predictions. In Advances in Neural Information Processing Systems 30, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett(Eds.). Curran Associates, Inc., 4765–4774.

Photography and AI partnership

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Adobe Project Stardust is a new video and photo editing tool that is still under development. It is designed to be a more powerful and versatile tool than Adobe After Effects, and it has the potential to revolutionize the way that videos are edited, aimed at revolutionizing the way images are processed and manipulated within Adobe software suites, like Photoshop. Leveraging advanced AI and machine learning capabilities, the project aimed to offer users more efficient and intuitive editing tools, automating complex tasks and enabling users to achieve impressive results more effortlessly. Features speculated or announced earlier might include improved object selection, background removal, content-aware filling, and enhanced photo manipulation through smart algorithms. The integration of AI was expected to streamline workflows and enhance creativity for photographers and graphic designers.

Project Stardust was anticipated to bring several potential advantages to Adobe’s suite of photo editing tools:

Advantages:
AI-Driven Efficiency: Project Stardust aimed to leverage artificial intelligence to automate complex editing tasks, making the editing process faster and more efficient. This could streamline workflows and save considerable time for photographers and designers.
Enhanced Editing Capabilities: The AI-powered engine was expected to introduce advanced features like improved object selection, intelligent background removal, content-aware filling, 3D effects, motion graphics, visual effects, and other smart editing tools. These enhancements could empower users to achieve more sophisticated and polished results in their editing endeavors.
User-Friendly Interface: By simplifying complex editing processes through AI-driven automation, Project Stardust might offer a more intuitive and user-friendly interface. This could potentially lower the barrier of entry for newcomers to photo editing while providing seasoned users with more powerful tools.
Product Competitiveness: Stardust can render effects much faster than After Effects, which can save editors a lot of time. Additionally, Stardust is more stable than After Effects, and it is less likely to crash. This is important for editors who are working on complex projects with tight deadlines.

However, with any technological advancement, there might also be potential disadvantages:
Disadvantages:
Under Development: Project Stardust is still under development which means that there are some bugs and missing features. Additionally, Stardust can be difficult to learn, especially for editors who are not familiar with After Effects.
Cost: It is more expensive than After Effects, and it is not available as part of the Creative Cloud subscription. This means that it may not be a good choice for editors who are on a budget, it is also not part of the Creative Cloud subscription
Learning Curve: While the intention of AI-powered tools is to simplify the editing process, there might be a learning curve associated with understanding and effectively utilizing these new features. Users might need time to adapt to the changes and fully harness the capabilities of Project Stardust.
Over-Reliance on Automation: Depending too heavily on automated tools might lead to a lack of creativity or personal touch in the editing process. Relying solely on AI-powered features might limit the creative expression of users who prefer a more hands-on approach to editing.
Possible Errors or Inaccuracies: AI systems are not infallible and might occasionally make mistakes or produce inaccurate results. Users should be cautious and ready to manually intervene if the AI-powered tools generate unexpected or incorrect edits.

Overall, Adobe Project Stardust is a powerful and versatile video editing tool that has the potential to revolutionize the way that videos are edited. However, it is still under development, and it can be difficult to learn and expensive.

Sources:
https://techcrunch.com/2023/10/10/adobes-project-stardust-is-a-sneak-preview-of-its-next-gen-ai-photo-editing-engine/


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7 macOS Apps Featuring Outstanding AI Capabilities for Everyday Use

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Whether you like it or not, AI features are already an integral part of the apps you use daily, and even more apps are incorporating AI into their functionalities. We are now in the age of AI, and the sooner we embrace it, the more efficiently we can perform tasks compared to those who don’t utilize AI-powered applications.

This post introduces seven apps with embedded AI features that genuinely enhance everyday life and productivity. We’ll delve into these apps, their roles in daily work and personal routines, and how their AI features enhance workflow.

1. Arc Browser

Arc Browser offers AI-based features for everyday use:

   – ‘Ask on Page’ allows you to query any content within the page you’re viewing, with AI swiftly analyzing the material and providing a concise answer, along with the information source reference.

   – ‘5-Second Previews’ is a remarkable feature, summarizing any link on websites when you hover over it with the Shift key.

   – ‘Tidy Tab Titles and Downloads’ uses AI to automatically shorten lengthy webpage titles and download filenames, making tab management more efficient.

2. Canary Mail

Canary Mail recently introduced an AI sidekick feature. This AI assistant helps compose and respond to emails by simply typing ‘ccc’ in the text box and specifying the email type. It can also translate emails into ten different languages, adjust word counts, and change the email tone based on the recipient. Canary Mail also features an AI summarizer and copilot to summarize long email threads and answer questions about emails.

3. Canva

Canva’s ‘Magic Studio’ now incorporates numerous AI features, enabling AI-assisted content creation, image resizing, template generation, text-to-video conversion, object relocation within images, automated document generation, and background removal. The AI can adapt content from one format to another, saving significant time.

4. Craft

Craft serves as a hub for long-form content, including blog post drafts, video and podcast scripts, eBook content, and newsletter drafts. Craft’s AI assistant is easily accessible, offering various text processing capabilities like outlining, summarizing, translation, bullet point conversion, content expansion, keyword generation, pros and cons lists, explanations, and more, all within the same document.

5. Grammarly

Grammarly is an AI-powered writing assistant that eliminates grammar, spelling, sentence, and punctuation errors. It can also rewrite sentences, adjust writing tone, and remove unnecessary phrases or sentences. Grammarly’s AI writing assistant works seamlessly across multiple platforms, offering content creation, tone modification, content length adjustment, summarization, outlining, and more.

6. PDF Pals

PDF Pals uses AI to analyze PDF documents and answer user queries. It supports PDFs of any size and can handle multiple files simultaneously. Utilizing the GPT-3.5 model, it provides rapid responses, although it may not be as efficient as the GPT-4 model. PDF Pals can also redact sensitive information, supports OCR for scanned PDFs and eBooks, and provides accurate answers.

7. Setapp

Setapp is a premium app library that offers over 200 apps for a single monthly fee of $9.99. Recently, Setapp introduced an AI assistant knowledgeable about all its apps. This AI assistant can help users discover the most suitable apps for their needs by answering questions like ‘Recommend apps for photo editing,’ ‘How can I optimize my Mac?’ or ‘Suggest an app to enhance focus,’ thus saving valuable time spent on manual app searches.”

Sources:

7 macOS Apps With the Best AI Features That I Use Daily | by The Useful Tech | Mac O’Clock | Oct, 2023 | Medium

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Will Poland Revolutionize the Mobile Payments Market with PayEye?

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Poland is currently one of the leaders in Europe in terms of accepting cashless payments. Research also indicates that Poles are increasingly using solutions for mobile payments without the need for physical cards such as Google Pay, Apple Pay, or BLIK. Due to the high demand for these services there is a need for more innovative and secure solutions. This is where PayEye, a fintech startup developing in Poland, enters the scene. However, the company has ambitions not only to revolutionize the Polish market but to be a globally-used solution. Therefore, the company is currently expanding its operations simultaneously in Poland and the United States. But does this solution have a chance to succeed in foreign markets?

The PayEye technology offers the capability to link chosen payment cards to a personal biometric pattern allowing for one-glance payment authorization without the need to remember passwords or PINs. Eye biometrics are considered one of the safest solutions because each person’s eye pattern is unique, making it virtually impossible to counterfeit and providing a high level of security. This solution is also highly convenient as it doesn’t require consumers to carry any physical cards or devices; a simple glance at the device is all that’s needed to approve a transaction, which can expedite the payment process.

However, the company must contend with numerous challenges and barriers, both in Polish and foreign markets. Regulations and data protection laws related to biometrics may hinder the development of such technology. Yet, this is not the only issue the company may encounter when entering foreign markets. In many countries, mobile payments remain a challenge with many service points lacking even basic card payment terminals. Biometric solutions, like eye payments depend on appropriate iris scanning hardware, which may limit access to services in certain places. Another potential threat could also be fraud involving unauthorized payments, especially when a glance is enough to make a payment. This provides a significant opportunity for fraudsters who could install such devices in public places to collect biometric data and make payments based on that data. To prevent such practices, the company has added a security measure requiring the iris of the eye to be within a 35-centimeter distance to make a payment. But this is still not sufficient security and still carries a significant risk. The danger may also involve the use of very accurate eye photos or iris scans for making payments, which the device might mistakenly consider as a real eye iris. Some customers may also have concerns that using biometrics for payments could lead to privacy breaches and abuses. PayEye must work on building trust and ensuring the safety of biometric data.

Nevertheless, the number of PayEye points in Poland already exceeds 150 and continues to grow indicating rapid and direct company development. The company also offers an interesting business model for renting devices enabling payments at a very favorable cost for entrepreneurs – in Poland it costs just 20 PLN per month. In the United States, the company does not provide device rentals, and the purchase price for such a terminal is approximately $500. In the American market the company has hired an experienced manager from the fintech industry with knowledge of the American market, who believes this solution has great potential and it perfectly fits the needs of American consumers. However, whether the company can overcome the challenges facing this solution will become apparent in the coming months.

By Mateusz Tomkiewicz

Sources:

https://payeye.com/pl

https://payeye.com/pl/media-o-nas/

https://polskabezgotowkowa.pl

https://chat.openai.com