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4 Online Shops Using AI

online shops using ai
Image Credit: Unsplash

Artificial intelligence is one of the numerous ground-breaking concepts that will significantly impact e-commerce companies as they shape the future of the online market. Robots are already taking over your neighborhood’s retail industry. AI is changing the e-commerce and retail sectors with customized consumer experiences, automated warehouse operators, face recognition software payment systems, anti-counterfeiting technology, and more.

One of the most prominent users of AI technology is Apple, Alibaba, Amazon, etc. Yet, not all businesses are created equal regarding their capacities and investments in the AI area. The ranking and position of a firm among the most important themes may be a key indicator of that company’s likely future profitability and overall competitive advantage. So, let’s take a look at how different online shops adopt AI strategies. 

Macy’s

To demonstrate the increasing presence of cognitive computing and predictive analytics in the retail business, Macy’s is testing a mobile Web-based artificial intelligence system that encourages customers to submit product-related questions and find answers.

Macy’s is utilizing IBM Watson’s Satisfi engagement technology to power its new mobile service. Queries may cover a range of subjects, including information on store layout, product selection, and accessible in-store activities. For instance, a person may inquire on the platform about the location of the section for women’s shoes. And locate its specific placement. Customers may also enter a keyword search for a single item into Macy’s on Call to find out whether it is available and where it is located in the mall.

Results are generated using an interface powered by IBM Watson’s Natural Language Classifier. The system allows Macy’s to discover more about the services, attributes, and goods that delight shoppers.

Alibaba

Alibaba is making a significant investment in artificial intelligence because it can predict what consumers want to buy, which is crucial for the biggest e-commerce platform in the world. The website’s product information is created utilizing NLP to be easily searchable.

The business declared in 2020 that it would invest $28 billion in the cloud, AI, and other technologies over the following three years. 2019 saw the launch of Alibaba’s first AI inference chip. Within five years, its Pingtouge chip division may overtake the market. 

Alibaba wants to invest $1 billion in expanding its AIoT ecosystem, which includes its voice assistant and smart speaker, in order to catch up to its US and local competitors. The claimed focus is on connecting the information and services from the larger ecosystem, which includes amusement, wellness, and academia. Alibaba has also made several smart choices, notably in SenseTime, a well-known unicorn in artificial intelligence.

Shopify

Product descriptions heavily influence customers’ purchasing decisions; optimizing them may enhance site visibility and conversion rates. The process of getting a new merchant’s store ready to go live takes a lot of time. And carefully created product pages and descriptions are among the most crucial elements for a store’s initial success. Countless items are for sale throughout all Shopify businesses, many of which lack even a description.

Shopify tackles the issue by using AI-Generated Product Descriptions.

The software will instantly create a product description on the item setup page in the retailer’s admin once a user enters a few data regarding their item or keywords they would like to appear for in search results. The days of having writer’s block are over.

The ability to introduce goods to the website and begin receiving payments is now quicker than before. For retailers with huge product inventories, users can now rapidly create captivating product descriptions with a consistent voice throughout their online marketplace. Users now have a built-in copywriter in their admin, regardless of how many items they provide, allowing them more time to concentrate on managing the operation.

Zalando

In 2018, Zalando introduced the Algorithmic Fashion Companion (AFC). This machine-learning system can recognize various pieces of apparel and offer ideas for an ensemble depending on the user’s prior buys. Zalando has tried to employ AI to ensure that things purchased fit the consumer adequately and appear as they were represented on the screen to decrease the number of refunds, which now sits at approximately 50%.

The business uses AI to improve its service, handle logistical problems as effectively as possible, prevent fraud, and meet seasonal demand.

Furthermore, selecting, packaging, and shipping are all handled by AI as part of warehouse operations. Smart algorithms have improved knowledge of how and when the box will be transported to the consumer based on the selected courier service. Robots at distribution centers have been helping people by detecting, collecting, and transporting things to particular packaging locations.

To Sum Up

While we may not give it much thought, AI is a significant part of most people’s daily lives. It can be as simple as asking to define dissertation paper and getting a custom thesis written for you.

Overall, your customer experience, conversion, revenue, and profit may all be dramatically increased with a solid AI system that uses machine learning. By utilizing AI for e-commerce platforms, online businesses may automate tasks and reduce the amount of human labor. AI can detect both micro and macro patterns more quickly than any individual.

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Google launches AI-powered search ads 

Google launches AI-powered search ads
Image Credits: Google

While Google and Microsoft are still vying to dominate AI search, Google launched AI-powered search ads today. This follows a recent discussion Microsoft had with advertisers on how AI search and advertising may cooperate.

Making assets for your advertising with Google AI is one of the new features that Google is introducing. The right ad, together with pertinent assets, will be delivered to the appropriate person through Google’s new AI-powered advertisements. 

The difficult part of doing this is coming up with new headlines and descriptions. At Google Marketing Live the previous year, Google offered assets that were automatically created. Based on the text of the ad and the landing page, these characteristics enable responsive advertising to display the best possible selection of assets.

Read More: Indian Army To Receive AI-Based Threat Assessment Software 

All advertisers can now access automatically generated assets as part of an open beta. According to Google, early adopters who used responsive advertisements saw a 2% boost in conversions at a comparable cost per conversion.

Additionally, Ad Strength will consider current assets and created assets when determining a rating. Assets that are created automatically will use provided inputs, such as keywords, to improve headlines and relevance. Any automatically created assets you don’t want to include in your ads can be removed too. 

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Top AI News of the Day | 28 Feb 2023

top ai news 28 Feb 2023
Image Credits: AD
  1. Google launches AI-powered search ads

While Google and Microsoft are still vying to dominate AI search, Google launched AI-powered search ads today. Making assets for your advertising with Google AI is one of the new features that Google is introducing. The right ad, together with pertinent assets, will be delivered to the appropriate person through Google’s new AI-powered advertisements. 

  1. Musk approaches AI researchers to develop ChatGPT rival

According to persons with intimate knowledge of the project, billionaire Elon Musk recently approached AI experts about establishing a new lab to create a ChatGPT rival. Igor Babuschkin, a researcher who just left Alphabet’s DeepMind AI unit, has been sought after by Tesla and Twitter CEO Musk, according to the story.

  1. Meta creates separate team focused on AI products

As the competition for artificial intelligence (AI) among Big Tech companies heats up, Meta Platforms’ chief executive, Mark Zuckerberg, announced on Monday that the company is forming a new top-level product division with a focus on generative AI. Zuckerberg said, “We’re starting by pulling together a lot of the teams working on generative AI across the company into one group focused on building delightful experiences around this technology.”

  1. Snapchat debuts its own chatbot ‘My AI’ based on ChatGPT

According to a press statement from the firm, Snapchat has debuted its own chatbot named “My AI” using the most recent version of OpenAI’s fast-expanding generative text engine, ChatGPT. Only Snapchat+ subscribers will currently be able to use My AI. At $3.99 (Rs 329) a month, these subscribers get access to “exclusive, experimental, and pre-release features.”

  1. Indian Youth makes waves with AI, ML inventions

Nikhil JSK, a 24-year-old man from Vizag, became an inventor at a young age due to his technological curiosity and practical skill. Nikhil is presently employed by IBM in Bangalore as a software engineer. The youngster is a member of a small team that has developed three machine learning and artificial intelligence-related technologies and submitted patent applications to the USPTO.

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Musk approaches AI researchers to develop ChatGPT Rival

Musk AI researchers develop ChatGPT rival
Image Credits: NDTV

According to persons with intimate knowledge of the project, billionaire Elon Musk recently approached AI experts about establishing a new lab to create a ChatGPT rival, reported Reuters.

Igor Babuschkin, a researcher who just left Alphabet’s DeepMind AI unit, has been sought after by Tesla and Twitter CEO Musk, according to the story.

The San Francisco-based startup OpenAI, which has a close partnership with Microsoft, built a larger collection of technologies that includes ChatGPT. Since then, it has attracted millions of users, many of whom use it for work-related tasks like researching ideas for emails or other projects.

Read More: Indian Army To Receive AI-Based Threat Assessment Software 

Musk has highlighted a number of odd AI-related incidents over the past several weeks, including ChatGPT’s appearance before the media and Bing Chat’s propensity for making “weird” comments.

He claimed that artificial intelligence (AI) was “far more hazardous than nukes” about five years ago, and he still seems to hold that opinion even as the world becomes fixated on ChatGPT and AI.

The CEO of Tesla and SpaceX said on Friday that this was “not what he had planned” despite being a co-founder of OpenAI, the business that created the popular chatbot.

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Meta creates separate team focused on AI products

Meta separate team focused AI products
Image Credits: Mint

As the competition for artificial intelligence (AI) among Big Tech companies heats up, Meta Platforms’ chief executive, Mark Zuckerberg, announced on Monday that the company is forming a new top-level product division with a focus on generative AI.

While the tech sector struggles with sluggish growth, loses thousands of employees, and dials down on experimental bets to weather the slump, AI has emerged as a promising area for investment.

Zuckerberg said, “We’re starting by pulling together a lot of the teams working on generative AI across the company into one group focused on building delightful experiences around this technology.”

Read More: Indian Army To Receive AI-Based Threat Assessment Software 

According to Zuckerberg, Meta is exploring experiences with text (chat in WhatsApp and Messenger), with images (creative Instagram filters and ad formats), with video and multi-modal experiences, but “over the longer term, it will focus on developing AI personas that can help people in a variety of ways.”

According to a corporate representative, Ahmad Al-Dahle will serve as the team’s leader and will answer to Chris Cox, Meta’s chief product officer. According to the spokesman, this will allow Meta to incorporate the research team’s findings more quickly into its products.

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Snapchat debuts its own chatbot ‘My AI’ based on ChatGPT

Snapchat debuts chatbot My AI
Image Credits: Snapchat

According to a press statement from the firm, Snapchat has debuted its own chatbot named “My AI” using the most recent version of OpenAI’s fast-expanding generative text engine, ChatGPT. Only Snapchat+ subscribers will currently be able to use My AI. At $3.99 (Rs 329) a month, these subscribers get access to “exclusive, experimental, and pre-release features.”

The firm announced the new features in a news statement, saying, “My AI can give birthday present ideas for your BFF, arrange a hiking trip for a long weekend, suggest a recipe for dinner, or even write a haiku about cheese for your cheddar-obsessed friend.”

The social media platform issued a warning nonetheless, stating that the chatbot is prone to delusion and can be misled into saying just about anything. Please be aware of its numerous flaws and accept our sincere apologies, it continued.

Read More: Indian Army To Receive AI-Based Threat Assessment Software 

The company further advised customers not to divulge any secrets to My AInand not to rely on its recommendations. To improve accuracy, the corporation will record and examine the user discussions. The company added, “My AI is meant to avoid biased, erroneous, damaging, or misleading information, but errors may occur.

The outlet claims that My AI is currently just a mobile-friendly rendition of ChatGPT inside Snapchat. The version of the social networking application can only respond to fewer inquiries, and that is the main difference. Also, the bot has been programmed to abide by the company’s trust and safety standards and to refrain from responding with profanity, violence, sexual content, or opinions on things like politics.

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Top AI News of the Day | 24 Feb 2023

AI news of the day (1)
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  1. Qualcomm demonstrates Stable Diffusion on Android phone

To advance its efforts in working with AI, chip manufacturer Qualcomm has displayed the first demonstration of Stable Diffusion on an Android handset. Stable Diffusion was initially implemented on an Android smartphone running Qualcomm’s Snapdragon 8 Gen 2 platform using full-stack AI optimizations by Qualcomm’s AI Research team.

  1. JPMorgan Chase restricts its employees from using AI chatbot ChatGPT

The largest US financial services company, JPMorgan Chase, has prohibited its employees from using the trendy AI chatbot, ChatGPT, created by OpenAI. The bank did not impose restrictions on the usage of the well-known chatbot with artificial intelligence because of a particular incident. The Wall Street Journal cites sources saying that it was unknown how many employees or for what purposes the chatbot was used.

  1. Airtel, Nvidia partner to deploy AI-powered speech analytics solutions for customer services

The world’s largest telecom company, Bharti Airtel, has teamed with Nvidia to develop and implement an AI-based solution that would enhance the overall customer experience for all incoming calls to its contact centre. Airtel used the NVIDIANeMo conversational AI toolkit and Nvidia Triton Inference Server, a multi-framework inference serving software supported in the Nvidia AI Enterprise software bundle, to develop the technology that enables automated voice recognition.

  1. Baidu CEO says company’s ChatGPT-like AI chatbot to revolutionize its search engine

Several other IT businesses have declared plans to create their own chatbots in response to ChatGPT’s success. Among them is the Chinese company Baidu, which is creating the app Ernie Bot, which is similar to ChatGPT. According to firm CEO Robin Li, the AI chatbot would offer a “revolutionary” version of the company’s well-known search engine.

  1. Nvidia’s value propels by nearly $220 Billion this year 

According to stock market gains, Nvidia Inc. is the clear victor in this year’s artificial intelligence frenzy. The Santa Clara, California-based company’s shares increased by as much as 13% on Thursday, putting it on track to increase its market value by roughly $65 billion and bringing its gains for the year to around $219 billion.

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Top AI News of the Day | 23 Feb 2023

23 Feb 2023
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  1. Microsoft Launches BioGPT, the ChatGPT of Life Science

Microsoft has unveiled BioGPT, a new artificial intelligence (AI) tool that can be used to assess biomedical research in order to provide biomedical queries with answers. This technology is particularly pertinent for assisting researchers in gaining fresh perspectives. BioGPT is trained using millions of previously published biomedical research articles

  1. Spotify Launches AI-Powered ‘DJ’ Feature Using OpenAI Technology

A computerised song-spinner with a “stunningly realistic” voice that queues up music based on your musical preferences and listening history is now a feature of Spotify’s app. Starting on Wednesday, English-speaking Spotify Premium subscribers in the U.S. and Canada will be able to access the DJ beta version.

  1. Instagram co-founders’ new AI-powered news app ‘Artifact’ now open to all

Instagram co-founders Kevin Systrom and Mike Krieger have released Artifact, a new artificial intelligence (AI)-driven personalised news feed application, along with new features. The Artifact team announced in a blog post on Wednesday that anyone can now download and use the new programme without a waitlist or phone number.

  1. Comic book loses copyright of AI-created images in US

According to a letter from the US Copyright Office seen by Reuters, images in a graphic novel that were produced by the artificial intelligence programme Midjourney shouldn’t have been given copyright protection. Kris Kashtanova, the author of “Zarya of the Dawn,” is granted a copyright for the portions of the book she wrote and organised, but not for the pictures created by Midjourney, according to the office.

  1. Microsoft brings AI-powered Bing to mobile and Skype

Microsoft is now delivering the AI-based Bing chatbot’s functionality to smartphones and Skype, two weeks after its debut. The Bing button in the app would allow users who have been invited to the preview to initiate a conversation with the chatbot. Users of Skype on all platforms can have private conversations with Bing or add it to group chats where anyone can tag it and ask a question.

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Isolation in Cloud Computing: Unlocking the Potential of a Secure and Reliable Set-Up

isolation in cloud computing
Image Credit: Canva

The possibility of cloud computing offers organizations great potential for streamlining operations and improving productivity. And given the current landscape of remote working and globalized operations, who wouldn’t want to gain access to their data and applications no matter their geographical location or the device they’re using?

But what if an organization has sensitive data or specific workflows that need to be kept separate? Is it possible to safely store critical assets in the cloud while still keeping them secure? The answer is yes – thanks to the concept of isolation.

What Is Isolation In Cloud Computing?

Isolation in the cloud refers to a set-up where certain elements (such as virtual machines or containers) are kept separated from other parts within an overall cloud environment. This is achieved by taking advantage of features like firewalls, networks, routing tables, and VPCs (Virtual Private Clouds).

By implementing these features correctly, organizations can create multiple isolated environments within one shared infrastructure that helps protect their data and applications from malicious actors on the public web.

Isolation can be used on public clouds like Amazon and Microsoft Azure, as well as private enterprise cloud systems that leverage open-source tools like OpenStack or CloudStack.For the latter option, though, depending on what security level is necessary for your system, physical hardware segregation might also be necessary.

How Can Isolation Help Protect Organizations from Threats?

One of the main benefits of isolating applications and data in a shared environment is improved security since each part is effectively locked away from prying eyes. This means that even if attackers gain access to one virtual machine or container, they will not be able to penetrate other areas since they lack network connectivity with them.

As a result, only authorized people will have access to sensitive information stored in isolated parts – significantly lowering the risk of an external attack leading to vulnerabilities being exploited elsewhere in an organization’s IT landscape.

Additionally, since resources remain within an organization’s private network, there won’t be any need for costly additional infrastructure investments such as global servers or redundant backups, thus helping reduce operational costs over time.

Furthermore, unlike traditional IT setups where tasks like scaling or patching would require expensive manual labor, isolating components makes automating these processes much simpler and more efficient, allowing businesses to focus their effort on improving customer service rather than struggling with tedious maintenance issues.

What Are The Benefits Of Isolating Applications In The Cloud?

In addition to improved security and cost savings mentioned above, several other key advantages come with isolating applications in a shared cloud setup:

Reduced complexity

Applications designed around isolated architectures have fewer elements which makes them easier to maintain over time while cutting down on time wasted dealing with complicated scripting errors across different systems/servers. This helps organizations focus on developing their core applications and services. 

Greater flexibility

Virtualization technology allows organizations to scale up (or down) resources quickly based on changing demand patterns, thus making it possible to accommodate fluctuations easily during peak periods. The adaptability of virtualized applications also makes it simple to add new features and modifications; without needing to reconfigure the application’s whole infrastructure.

Improved performance

The fact that less traffic needs to transfer between different components results in increased performance across apps being supported by isolated infrastructures. For example, Isolated infrastructures can also help address issues with BigQuery latency, as fewer network hops are required to transfer data between different components within the cloud environment.

Better reliability

By breaking up complex processes into smaller chunks housed on separate networks, organizations dramatically decrease their chances of becoming disrupted due to massive system failures. This increased dependability is particularly beneficial for mission-critical services or applications, as well as those that must adhere to industry standards or regulations.

Common Challenges Faced When Deploying Isolated Infrastructures

Although there are many benefits associated with using isolated clouds, organizations must also bear certain factors in mind when first designing their architecture:

  • Infrastructure cost: Physical hardware requirements for running multiple instances may increase costs significantly. 
  • Limited scalability: Since each part is only connected locally rather than globally – adding new users may not always be easy.
  • Security risks: Even though isolation can help protect against external attacks, extreme caution should be taken when granting user permissions (especially ones accessing sensitive information) inside any given environment.

The Takeaway

For those looking to take advantage of all the goodness offered by today’s cloud computing technologies but want to maintain maximum control over critical workloads, understanding how to isolate applications is an extremely important step towards doing so securely and efficiently.

By following best practices recommended by industry experts combined with careful planning ahead of the stage, organizations can position themselves to reap the full benefits of deployed solutions without having to suffer the dreaded consequences of poor planning and unpreparedness. Just remember that in the cloud, one size doesn’t fit all, so take some time to weigh all options before committing!

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Top AI News of the Day | 22 Feb 2023

top AI news of the day
Image Credits: AD

1. Infants Outperform AI in “Commonsense Psychology ” 

According to a recent study by a group of psychology and data science academics from NYU, infants are better than artificial intelligence at determining what drives other people’s behaviour. The results point out basic disparities between computer and human cognition, highlighting flaws in the state-of-the-art machine learning, and pinpointing areas in which advancements are required for AI to accurately mimic human behaviour.

2. Amazon Web Services pairs with Hugging Face to target AI developers

The cloud computing division of Amazon, Amazon Web Services (AWS), announced on Tuesday that it is working with startup Hugging Face, a software development hub, to make it simpler to execute artificial intelligence (AI) tasks on Amazon’s cloud. 

3. Microsoft’s Bing AI Bot is increasing its Chat Session limit 

The current five chat turns per session and 50 per day will be increased to six chat turns per session and 60 total chats per day for Microsoft Bing, with a 100-total chat limit soon after, This is Microsoft’s first step towards extending conversation restrictions.

4. NVIDIA GTC 2023 to Feature Latest Advances in AI 

Jensen Huang, the founder and CEO of NVIDIA, will give the opening keynote address at GTC 2023. He will discuss the most recent developments in generative AI, the metaverse, massive language models, robotics, cloud computing, and other areas. The four-day event, which will have 650+ sessions from researchers, developers, and industry leaders in essentially every computing sector, will take place from March 20-23. 

5. India ranks first in AI skill penetration and talent concentration: NASSCOM report 

India ranks first in AI skill penetration and talent concentration, and sixth in AI scientific publications, according to a new NASSCOM report. According to the report, Indian tech talent is three times more likely than that of other nations to possess or report AI skills. This shows that Indian IT talent is quickly becoming proficient in DS&AI.

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