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Owing to the pandemic, the inability to have one-on-one conversations with customers led businesses to adapt artificial intelligence (AI) and cloud-based
UniphoreUniphore had been founded in 2008 by Ravi Saraogi and Umesh Sachdev, both of whom had graduated from Jaypee Institute of Information Technology in 2007. Uniphore offers a conversational customer service platform that is powered by AI and automation technologies. Uniphore builds several products, including an AI-driven Intelligent Virtual Assistant, a service that verifies agents to reduce call center fraud, and an AI system that improves agent efficiency with in-call alerts. The company says its vision is to bridge the gap between people and machines through voice. It has become India’s latest unicorn startup after raising $400 million in its Series E funding round.
chúng tôiWith offices in Palo Alto, US, and Bengaluru, chúng tôi was founded in 2023 by Shridhar Marri, Krishna Kadiri, and Ritesh Radhakrishnan. The full-stack
LimeChatFounded by IIT alumni Nikhil Gupta and Aniket Bajpai, LimeChat is a conversational AI-based chatbot that helps D2C brands improve their websites by leveraging mediums like Facebook Messenger, Instagram, and WhatsApp. Launched in March 2023, LimeChat is headquartered in Gurugram and claims to help clients provide human-like shopping experiences on chat mediums. As last reported by YourStory, with a SaaS (Software as a service) model, LimeChat works with more than 25 D2C brands across the globe. It is backed by Stellaris Venture Partners, Pi Ventures, Flipkart’s Kalyan Krishnamurthy, Udaan’s Sujeet Kumar, and Deutsche Bank’s Dilip Khandelwal, among others.
GupshupFounded by IIT-Bombay alumni Beerud Sheth, smart messaging platform Gupshup is headquartered in the Silicon Valley, with a presence in India. It enables customer engagement through conversational AI. According to its website, Gupshup powers over six billion messages per month. The conversational messaging startup entered the unicorn club in April last year. It is backed by marquee investors including Tiger Global, Think Investments, Harbor Spring Capital, Fidelity, and Malabar Investments, among others.
WysaWysa is a popular Indian start-up of conversational AI focused on helping users self-manage stressors with AI-guided listening and professional experts all the time. It has successfully developed Wysa- an AI chatbot leveraging evidence-based Cognitive-Behavioral Techniques (CBTs) to provide high-quality mental health support. There are more than 485 million conversations with 2 million CBT breakthroughs across 65 countries.
chúng tôiYellow.ai is one of the top Indian conversational AI start-ups with the world’s leading conversational CX platform for consumer-centric brands. It has successfully combined the power of human intelligence with artificial intelligence to provide active learning to deliver on-demand customer experience at scale. The total customer lifecycle automation includes building, automating, responding, engaging, driving insights, and deploying. It offers a wide range of platforms such as Proprietary NLP, bot studio, agent-assist dashboard, campaign management, and many more with solutions like customer engagement automation, customer support automation, conversational commerce automation, HR automation, and ITSM automation.
Intello LabsIntello Labs is a popular AI start-up in India that taps the power of artificial intelligence, machine learning, and computer vision to reduce food loss efficiently. It digitizes the quality assessment of fresh fruits and vegetables with cutting-edge technology to transform quality processes and be less wasteful. It helps to bring complete transparency to the food and agriculture supply chain with a wide range of products such as Intello Track, IntelloPack, IntelloGrade, and IntelloSort. These products can capitalize data insights to boost productivity as well as automate report generation with paired image logs.
CropIn Myelin FoundryMyelin Foundry is a popular deep tech product India AI start-up focused on transforming human experiences and industry outcomes with AI algorithms on video, voice, and sensor data for edge devices. It offers Myelin Edge AI platform with real-time in-depth insights, edge AI, enhanced audiovisuals, and many more.
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Top 10 Ai Companies Recently Acquired By Faang In 2023
Know about these top 10 AI companies that have been acquired by FAANG in 2023.
Facebook, Apple, Amazon, Netflix, and Google, collectively referred to as
FAANG
, are some of the most powerful, valuable, and influential companies in the world and as institutions question
FAANG
’s role in our daily lives, the types of
AI companies
these giants are acquiring, the sectors those acquired
AI startups
operate in, and the pace of those
FAANG acquisitions
can give us some insight into tech giants’ goals, bets, and hedges. Among these tech giants, only Netflix hasn’t made any acquisitions yet. Here are the top 10
AI companies
acquired by this
FAANG
within 2023.
Facebook’s Acquisition of Vidpresso Amazon’s Acquisition of RingIn 2023, Amazon bought smart doorbell company Ring for a whopping $1 billion. Siminoff has met personally with the world’s richest man, Amazon founder, and CEO Jeff Bezos, and while he admits his interaction with Bezos has been limited, he says he’s learned a lot and been impressed by the famous entrepreneur. He said in a report “I think the most impressive thing…[is that he’s] a very real person who also you can tell has this insatiable appetite for invention and learning and seeing what’s out there and doing that, and is very curious.”
Apple’s Acquisition of Akonia HolographicsApple has acquired a startup focused on making lenses for augmented reality glasses, the company confirmed on Wednesday, a signal Apple has ambitions to make a wearable device that would superimpose digital information on the real world. Apple confirmed the acquisition of Colorado-based Akonia Holographics by saying that “Apple buys smaller companies from time to time, and we generally don’t discuss our purpose or plans.”
Google’s Acquisition of CaskGoogle has picked up Cask Data, a Palo Alto startup that specializes in building solutions to run big data analytics services based on Hadoop. The Cask Data news was quietly made public by the co-founders of the startup, Jonathan Gray and Nitin Motgi, in a blog post on May 14, 2023, which also confirmed that the company would continue supporting existing customers and products.
Facebook’s acquisition of Bloomsbury AIFacebook announced in 2023 that the London-based team at Bloomsbury AI will be joining the company. Facebook reported that Bloomsbury AI’s expertise will strengthen Facebook’s efforts in natural language processing research, and help it further understand natural language and its applications, but it certainly seems possible that those applications could include detecting misinformation and other problematic content.
Facebook’s Acquisition of RedkixFacebook announced that it has acquired Redkix, a startup that provides tools to communicate more effectively by combining email with a more formal collaboration tool. The companies did not reveal the acquisition price. Redkix burst out of the gate two years ago with a $17 million seed round, a hefty seed amount by any measure. What prompted this kind of investment was a tool that combined a collaboration tool like Slack or Workplace by Facebook with email. People could collaborate in Redkix itself, or if you weren’t a registered user, you could still participate by email, providing a more seamless way to work together. Experts think that Redkix is a great solution for bridging the worlds between traditional email messaging and more modern conversational messaging.
Google’s Acquisition of Tenor Amazon’s Acquisition of PillPackAmazon announced an acquisition that underscores how it also hopes to have a more direct and commercial role in the world of healthcare in the coming years. The company has purchased PillPack, an online pharmacy that lets users buy medications in pre-made doses. Terms of the deal have not been disclosed by Amazon, but sources close to the deal say it was for just under $1 billion.
Apple’s Acquisition of Dialog SemiconductorApple has bought parts of European chipmaker Dialog Semiconductor in an effort to bring more of its silicon design in-house. The deal includes $300 million in cash to license some of Dialog’s power management technologies, hire 300 engineers, and take control of some assets. A further $300 million is being committed for products from Dialog over the next three years. This can be called Apple’s biggest acquisition ever when it comes to headcount.
Facebook’s Acquisition of Confirm.io More Trending Stories:Top 20 South Indian Influencers On Instagram
The game of influencers is sometimes limited to its geographical boundaries as well. Studies and research shows that people often prefer following an influencer who belongs to their own background or speaks their own native language. India being a secular country, has many different forms of culture, languages, and traditions. Therefore, brands who are wanting to promote their goods and services on a particular occasion, such as Maha Shiv Ratri, Onum, or even Christman, will try seeking out famous influencers of the same religion or tradition.
Instagram Influencers & Influencer MarketingInfluencers, who are widely known to influence people and possess an enormous amount of fan following, are people who enthusiastically have worked hard in their daily content and have created their own recognition. The whole reason why brands and companies choose influencers to promote their goods and services is that customers and consumers today are willingly following influencers over brands. Why is that so? It is simply because they trust the influencers they follow and are certain that the influencer won’t just promote any products for the sake of earning. Be it fitness influencers or cosmetic and makeup influencers, these people will only promote the products and goods that they personally use or recommend. This builds trust among their followers, and eventually, these followers become customers. Additionally, such influencers also use codes that can offer a fine discount on the products.
A few Statistics on Influencer MarketingNow that we have understood the overview of influencers and influencer marketing, let us know dive into the crucial part of this article.
Top 20 South India Influencers on Instagram 1. Samantha Ruth Prabhu- @samantharuthprabhuofflSamantha was born on April 28, 1987, in Alappuzha, Kerala, to Malayali mother Ninette and Telugu father Prabhu. She was born in Chennai, India, on April 28, 1987. She started modeling while pursuing her undergraduate degree, most prominently cooperating with Naidu Hall. Ravi Varman, a filmmaker, noticed her immediately. Ye Maaya Chesave, directed by Gautham Menon, was her directorial debut (2010).
2. Rashmika Mandanna 3. Vijay DeverakondaWe all know him. Actor Vijay Deverakonda is a south Indian actor from India. His birthday is May 9, 1989. He mainly performs in Telugu movies. Deverakonda appeared in his first Telugu movie. He has won a Filmfare Award and a SIIMA Award. Nuvvila and (2011). He became well-known because of the blockbuster Arjun Reddy (2023). He is also the owner of King of the Hill Entertainment. He is one of the most widely recognized actors in the history of south Indian cinema.
4. Allu ArjunIndian actor Allu Arjun predominantly performs in Telugu movies. In Gangotri, Arjun made his mature debut. He is also Allu Ramalingaiah, a Telugu comedy actor’s grandson. Arya, Allu Arjun’s second movie, became his first big success when it was released in 2004. In Kerala, he is also a well-known and loved celebrity.
5. Pooja HegdePooja Hegde, an Indian model, and actress who was born on October 13, 1991, in Mumbai, Maharashtra, is well known for her roles in South Indian movies. She completed a Master of Commerce degree at M.M.K. College in Mumbai. And shortly thereafter, she began her modeling career. In addition, Tamannaah Bhatia, a film actor, was her senior in school.
6. Dulquer SalmaanDulquer Salmaan, the younger son of Sulfath and Mammootty, was born on July 28, 1986. At Purdue University in the United States, he earned his B.B.A. In the Malayalam movie Second Show (2012), he made his acting debut. Dulquer Salmaan is a successful businessman as well. His first foray into entrepreneurship was a website for swapping autos.
7. PrabhasPrabhas Actor Raju Uppalapati, better known by his stage name Prabhas, works in Tollywood. Along with actress Shriya Saran, he made a comeback in September 2005 with the amazing smash Chatrapathhi. In Baahubali 2, its sequel, Prabhas returned in the same well-known character. Up to this point, he has worked on 20 films.
8. Ram CharanActor Ram Charan works in Tollywood movies. He is the child of Surekha and the renowned actor Megastar Chiranjeevi. Ram Charan debuted in the Chiruta movie (2007). He has won honors such as the Cine MAA Award for Best Male Debut and the Filmfare Best Male Debut Award. He is among the famous personalities of South India.
9. Tamannaah BhatiaTamanna Bhatia is a very well-known and prosperous Tollywood actress. She is known as “milky beauty” because she has the fairest skin of any actress in the Indian film industry. She primarily appears in Tamil and Telugu movies. She made her acting debut in the 2005 Bollywood film Chand Sa Roshan Chehra at the age of 15. She has always been well-known for her part in Bhahubali.
10. Suriya SivakumarSaravanan, also known as Suriya Sivakumar, is an Indian actor who works in the Tamil cinema industry. Suriya attended Chennai’s prestigious St. Bede’s School. Karthik Sivakumar, an award-winning actor, is his younger brother. His first movie, Nerrukku Ner (1997), starred Vijay and was a major success.
11. Mahesh BabuMahesh Babu, often known as Prince, is one of the greatest rising stars in Telugu cinema. He was born on August 9, 1974, to actor Krishna in Chennai. He attended St. Bede’s School in Chennai for his education. Mahesh represents Thumps Up and Hero Honda as their brand ambassador. He has received numerous film honors.
12. DhanushOn July 28, 1984, Tamil actor Dhanush was born. Venkatesh Prabhu is his birth name. Dhanush made his acting debut in the Tamil Nadu blockbuster Thulluvadho Ilamai. In the film Kuselan, directed by his father-in-law Rajinikanth, he also made a brief cameo appearance. For the film Aadukalam, Dhanush got the Best Actor prize at the 2011 58th National Awards. His first Hindi film Ranjhanaa was made possible by the YouTube success of his song “Why this Kolaveri Di.”
13. Raashi KhannaIndian actress and musician Raashi Khanna primarily performs in Telugu and Tamil movies. Having Punjabi ancestry, Raashi was born and raised in Delhi. For the movie “Joru,” she has performed her debut song, “Joru” (2014). Her contributions to Villain (2023), Jai Lava Kusa (2013), and Madras Cafe are well-known (2023).
14. Kajal AggarwalOn June 19, 1985, Kajal Aggarwal was born in Mumbai, India’s state of Maharashtra. She is highly known for her work in Bollywood, Kannada, Tamil, and Telugu films. In 2004, she made her acting debut in the Hindi film Kyun HoGaya Na. Do Lafzon Ki Kahani, her most recent Bollywood film, was released in 2023.
15. Rakul PreetRakul Preet Singh, an Indian model and actress who was born on October 10, 1990, primarily works in the Telugu and Tamil film industries. At the age of 18, while still a college student, she began her modeling career. She has worked on a number of well-known movies, including Gilli, Keratam, Thadaiyara Thaakka, Yaariyan, and Venkatadri Express.
16. Sai PallaviIndian actress Sai Pallavi is well known for playing the lead role in the Malayalam film Premam. She has made an appearance on ETV Telugu’s Dhee Ultimate Dance Show (D4). Pallavi studied medicine and received her MBBS from Tbilisi State Medical University in Tbilisi, Georgia. She is a doctor by profession. She has also appeared in well-known movies such as Maari 2 (Tamil, 2023), Athiran (Malayalam, 2023), NGK (Tamil, 2023), and others.
17. Ileana D’CruzIleana D’Cruz, an Indian actress, was born in Mumbai, India, to Goan parents. In Bollywood and the Tamil cinema business, she is famously recognized. She made her Telugu language debut with the film Devadasu by Y.V.S. Chowdhary. She was first noticed in a Rakesh Roshan-directed Fair and Lovely commercial. She has also worked on well-known Hindi films like Main Tera Hero and Rustom.
18. Shruti HaasanOn January 28, 1986, in Chennai, India, Shruti Rajalakshmi Haasan was born to actors Kamal Haasan and Sarika. Currently, Shruti Haasan is an Indian singer-turned-actress. She relocated to Mumbai after finishing school to attend St. Andrew’s College to study psychology. At the young age of six, Shruti Haasan performed her debut song in her father’s movie, Thevar Magan. She first made an appearance in the September 2007 issue of Frappe.
19. Tovino ThomasIndian actor and model Tovino Thomas is well known for his roles in Malayalam movies. He was born in Irinjalakuda, Kerala, India, on January 21, 1989. After graduating from Don Bosco Higher Secondary School with a high school diploma, Tovino Thomas went on to study engineering. He endorses companies, namely North Republic Shirts and Indulekha Hair.
20. Anushka ShettyAnushka Shetty is an Indian actress who primarily appears in Tamil and Telugu movies. Anushka Shetty was born into a Mangalore-based Tulu-speaking family. In the film Super, Puri Jagannath gave her debut. She was cast by S. S. Rajamouli in Vikramarkudu, which helped to boost her notoriety. She was also well known for her selections of films, like Arundathi, Rudharamadevi, and others.
In Conclusion,So here it is. The top 20 south Indian influencers on Instagram are stated above for your reference.
As said earlier, The league of influencers occasionally has geographical restrictions as well. The idea of what celebrity endorsements were and are is changing as a result of influencers and influencer marketing. India has a diverse array of cultures, languages, and customs due to its secular government. Customers and consumers today readily follow influencers over brands, which is the main reason why brands and businesses choose them to market their products and services.
We hope this article has been beneficial for your knowledge and time. Do you have any more south Indian influencers on Instagram who you follow on your mind?
The Growing Importance Of Conversational Ai
Artificial Intelligence (AI) conversational platforms are changing the manner in which organizations engage their clients and empower their employees. Modern day’s intelligent assistants are now loaded with skills. They can check the climate, traffic and sports scores. They can play music, interpret words and send text messages. They can even do the math, make jokes and read stories. In any case, with regards to conversations that lead someplace more fabulous, the wheels for most “chatbots” tumble off. You need to look around for magic combinations of words to get different things to take place, and you discover that a ton of the capacities that you anticipate the thing to do it, in reality, can’t deal with. For instance, frameworks today can add appointments to your calendar however, frequently not taking part in a back-and-forth conversation with you about how to shuffle a high-priority meeting demand. They are frequently additionally unfit to utilize relevant data from one skill to help you in settling on choices from another, for example, checking the climate before planning an early evening time meeting on the yard of a close-by bistro.
What is Conversational AI?The framework then needs to complete two things at the same time. To begin with, it needs to comprehend the client’s aim so as to give precise data to your client, or make the proper move. The manner in which it does this needs to match the client’s expectations for being precise, customized, and quick. Second, it needs to catch and analyze the data from the interaction. This machine learning step is both supervised and unsupervised to train the system while giving noteworthy insights. These insights would then be able to be utilized to improve the system’s overall design and eventually add value over the business.
Benefits of Conversational AI 24/7 – It’s Timely Customers Incline Toward MessagingThe market shapes customer behaviour. Gartner anticipated that ‘40% of mobile communications will be overseen by smart agents by 2023. ’ Every single business out there today either has a chatbot as of now or is thinking about one. 30% of clients hope to see a live chat option on your site. 3 out of 10 purchasers would surrender calls to use messaging. As an ever-increasing number of clients start anticipating that your organization should have an immediate method to reach you, it bodes well to have a touchpoint on a messenger.
Engaging and ConversationalChatbots make for great engagement tools. Engagement drives tenacity, which drives retention and that, thus, drives growth.
Scalability: InfiniteChatbots can in a flash and effectively handle an enormous volume of user queries without requiring any expansion in team size. This is particularly valuable if you expect or unexpectedly observe a massive spike in user queries. A spike like this is a catastrophe waiting to happen in case you’re totally reliant on a small group of human agents.
Shift from Chatbots to Conversational AI PlatformsChatbots are bit by bit turning into a relic of days gone by, and with reason. Bots are tools that are designed to perform automated tasks and guide discussions while AI-fueled chatbots use machine learning to understand intent and context to give the most suitable answers. Furthermore, after some time and through experience, they learn and improve the conversational experience. Artificial intelligence platforms are all the more impressive in light of the fact that they can hold conversations with clients and give a personalized experience. Organizations and institutions are changing from bots to AI platforms since they are searching for more intelligent solutions. Conversational AI can rapidly streamline support infrastructures with the assistance of self-service portals for clients. This normally prompts quicker query resolutions, sparing endless long periods of support agents (and reducing the associated costs)
Data PrivacyWhile individuals might be appreciating the way that speech recognition is currently multiple times quicker than messaging into a cell phone, data security is a major issue for users.
Top 10 Phones For Students In 2023
This is the first phone to come with the world’s most powerful pseudo-flagship processor, the Snapdragon 870. But apart from this, there are many selling points. Say, it uses Turbo LPDDR 5 and Turbo UFS 3.1, providing a speed increase of 72% and a performance increase of 25%. It supports Wi-Fi6, Bluetooth 5.1, and the fifth-generation AI engine. The Motorola Edge S also uses a 6.7-inch 21:9 ultra-wide LCD screen with a 90Hz refresh rate. There is a front 16MP+8MP ultra-wide-angle camera module. The rear camera includes a 64MP main camera, a 16MP ultra-wide-angle lens, a 2MP depth of field lens and ToF lens. There is also a built-in 5000mAh battery, which supports 20W fast charging. It has an IP52 waterproofness. The price tags vary from 1999 yuan ($310) to 2799 yuan ($433). As you can see, this handset is one of the cheapest pseudo-flagship models. So it fairly landed in the first position of our top 10 smartphones for students list.
OnePlus Nord N10This phone is one of three models OnePlus has launched for the mid-range market for the first time in its history. And if the original Nord was in the spotlight and the N100 is more a low-end handset, the N10 is an ideal choice for students. That’s why it appeared on the list of top 10 phones for students. It features a 6.49-inch IPS LCD panel with a 1080×2400 resolution and Corning Gorilla Glass 3. Under the hood, it carries a Qualcomm Snapdragon 690 SoC with an integrated Adreno 619L GPU. The smartphone packs a quad-camera setup with a 64MP primary sensor, an 8MP ultra-wide lens, a 2MP depth camera, and a 2MP macro camera. There is a 16MP front camera for selfies and video chats. There is also a 4300mAh battery with a 30W fast charging. Moreover, the phone runs on Android 10 out of the box. Its starts at $299.
Redmi Note 10 (Not announced yet)This series will hit the market on March 4. But undoubtedly, it will become the best-seller in the segment like its predecessors. Traditionally, the Redmi Note line models win the market immediately after the launch and remain on the top for a long time. This time, the Redmi Note 10 has all chances to be among the top 10 phones for students. The 5G variant will come with a Snapdragon 750G chip. On the front, it will carry the mainstream punch-hole screen. The regular variant will use an LCD material and support 120Hz refresh rate. The phone is IP52-Rated Water and Dust resistant. Other confirmed features are Hi-Res Audio, Better Haptics, fast charging. In terms of battery, the smartphone comes with a built-in 5050mAh large capacity battery. The Redmi Note 10 series is also expected to debut the brand new 100MP Samsung HM2 CMOS, which can output up to 108MP resolution photos. It has a 1/1.52-inch outsole, a unit pixel area of 0.7μm, and supports 9-in-1 output of 12MP 2.1μm high-quality photos. As you remember, this series is called Little King Kong. And now, it returns.
Samsung Galaxy A52 (Not announced yet)This is another model that is going to conquer the world with its pseudo-flagship features. Under the hood, it carries a Snapdragon 750G chip. So there is every reason to think it will compete directly with the Redmi Note 10. The Samsung Galaxy A52 will feature a 6.5-inch AMOLED screen, a built-in 4500mAh capacity battery, and support 25W fast charging. it packs a quad-camera setup with a 64MP primary camera, a 12MP ultra-wide camera, 5MP depth, and macro cameras. For selfies and video chats, there is a 32MP wide-angle camera on the front side. The Galaxy A52 5G will come in 6GB RAM + 128GB storage that is priced at EUR 459(~$551) and an 8GB RAM + 256GB storage variant is priced at EUR 509(~$612).
Xiaomi Mi 11 Lite (Not announced yet)We know that the Mi 11 is the second true premium smartphone of this brand. Xiaomi is doing its best to get some market share in this segment. But if the Mi 11 standard edition can be considered as a representative model, there will be other variants for different goals. The Mi 11 Pro and Mi 11 Ultra will fight in the toppest-end smartphones niche. And for those who want a flagship-like handset with low price, Xiaomi has prepared the Mi 11 Lite. This handset will sport a punch-hole face-to-face 120Hz LCD full screen. Under the hood, it will carry a 4250mAh battery supporting 33W charging and a Qualcomm Snapdragon 775G processor. The main camera will consist of 64MP main camera + 8MP ultra wide-angle + 5MP macro (or depth of field lens). It will cost around $300. So we guess it will be a great device in the top 10 phones for students list.
Gizchina News of the week Realme Narzo 30 Pro (Not announced yet)The original Realme Narzo devices were basically classic budget smartphones, the brand improved the game with the Realme Narzo 20 series. Now, the brand is set to improve even more with the upcoming Realme Narzo 30 series. It will come on February 24.
The Realme Narzo 30 Pro 5G will pack a MediaTek Dimensity 800U 5G chipset. The device has a 6.5-inch punch-hole LCD display supporting 90Hz refresh rate, runs Android 11 and sports a 4,880mAh battery that will likely be fed by 65W fast-charging.
Google Pixel 5A (Not announced yet)The specs of the Pixel 5a may come with either the Snapdragon 732G or the Snapdragon 690 5G. But we can’t insist on any of this. The phone will also have an under-display fingerprint sensor. That is somewhat suspicious as well considering Google went for a traditional rear-mounted fingerprint reader for its Pixel 5. The Pixel 5a likely will get the 4a 5G’s camera system, rather than a single-camera one like the Pixel 4a.
This phone should have the Pixel 5’s battery that is 4,080mAh capacity. And at last, it should cost $400 – $500.
Phones With High Price Tags For Students Samsung Galaxy Note 20The Samsung Galaxy Note 20 is going to be the last product from this series. As you should know, the Korean manufacturer will add the S pen to the Fold and S series in the future. Therefore, it will cut this line off. So we couldn’t exclude this product from the list, though it costs much.
Anyways, its specs list is quite impressive. The phone sports a 6.7-inch Full HD+ Super AMOLED Plus Infinity-O Display with an HDR10+, 393PPI pixel density and Corning Gorilla Glass 5 protection. Inside, it hosts an Exynos 990 7nm EUV processor with ARM Mali-G77MP11 GPU. As for photography, the phone sports a triple-camera with 12MP main camera + 64MP telephoto lens 12MP 120° ultra-wide sensor. The front shooter has a 10MP resolution. The rest of the noteworthy features include IP68 rating, AKG and Dolby Atmos speakers and a 4300mAh battery with 25W fast charging. The price starts at $449.99.
iPhone SE Plus (Not announced yet)The iPhone SE Plus screen size will be upgraded from a 16:9 small screen to a 6.1-inch display. And under the hood, it will host the Apple A14 chip. However, there is a possibility that we still will see the A13 SoC. The main camera still uses a single lens of 12MP. The latter supports OIS (optical image stabilization), smart HDR shooting, etc. The front camera uses the same Face ID as the iPhone 12 series. The standard version should come at $499.
Most likely, we will see new Nova models soon. But the latest model (at the moment) can easily appear in the top 10 phones for students list. The Huawei Nova 8 adopts a 6.57-inch FHD+ resolution hyperboloid display. It supports a 90Hz refresh rate and a 240Hz touch sampling rate. Its global peak brightness reaches 700 nits, and it supports true+ 1 billion colors, AI anti-mistouch, and color difference △E<1.
Our protagonist comes with the Kirin 985 5G SoC. The latter supports Wi-Fi 6+ connection, four-network coordination, and NFC smart card selection. On the back, it carries a 64-megapixel main camera (f/1.9) + 8-megapixel ultra-wide-angle camera + macro lens + depth of field lens combination. The Huawei Nova 8 features a 32-megapixel selfie camera.
The phone has a 3800mAh battery, which supports 66W Huawei’s super-fast charging. It adopts a “single-core, two-way and three-electrode” fast charging solution. So the phone can charge 100% in 35 minutes. Due to the super thermally conductive graphene heat dissipation technology, it supports the intelligent heating area.
The starting price of Huawei Nova 8 is 3299 yuan ($505).
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10 Best Ways To Eliminate Bias In Ai In 2023
Eliminating bias in AI in 2023 is highly crucial for organizations to yield higher revenue
AI models are expected to provide in-depth meaningful insights to meet the utmost customer satisfaction without any biases. There are strategies being implemented in these artificial intelligence algorithms to offer appropriate results efficiently and effectively. But there are some concerns regarding the presence of bias in AI. It has an opportunity to show incorrect results that can have serious consequences in the nearby future. Thus, eliminating bias in AI is necessary for organizations to earn hefty revenue in the upcoming times. Let’s explore some of the top ten ways to eliminate bias in AI in 2023.
Ten best ways for eliminating bias in AI Narrowing business problemsNarrowing business problems is one of the top ways for eliminating bias in AI. Organizations with a diverse range of business problems hold the possibility of an unmanageable number of classes in Artificial Intelligence models. Bias in AI can be removed if organizations can narrow down the business problems for effective management. Defined problems are easier for AI models to manage and perform well to yield revenue.
Utilization of structured dataIt is well-known that enormous volumes of real-time data are being collected for Artificial Intelligence models to generate insights. But there are three types of data available for AI models— structured, semi-structured, and unstructured. Organizations need to focus and collect only structured real-time data for eliminating bias in Artificial Intelligence. Structured data is known for allowing different opinions that can help AI models to be more flexible.
Appropriate training dataOrganizations should introduce appropriate training data to AI models to eliminate bias in AI. Artificial intelligence and machine learning algorithms need to have a full diversity of end-users with additional data sources. Data with multiple classes and labels tend to infuse bias in AI models.
Diverse range of questionsOrganizations need to infuse a diverse range of questions with the help of a machine learning team full of diversity including gender, age, race, culture, and many more. The more diversified questions, the more is the opportunity to eliminate bias in AI. This will help Artificial Intelligence models to react differently to different questions before the ultimate production process to end-users.
Considering Target audienceIn order to eliminate bias in Artificial Intelligence, organizations should consider the target audience of AI models. The target audience is full of different experiences, tastes, preferences, races, cultures, locations, and many more. Organizations should have a strong and in-depth understanding of the target audience to train AI models for appropriate insights without any bias.
Monitoring performance dataMonitoring performance data is crucial for organizations to eliminate bias in AI. They have to look for loopholes, weaknesses, and areas to improve by monitoring performance data. Performances of Artificial Intelligence models depend on multiple factors to infuse bias in insights. Thus, monitoring performance data before production is essential.
Deploying with feedbackEliminating bias in Artificial Intelligence needs to follow one specific process— never deploying the Artificial Intelligence model without considering the necessary feedback from the end-users. Organizations must ensure deploying with feedback to avoid serious consequences in the future. Having an open mind to accept feedback is essential.
Follow-up on reviewing the feedbackAs mentioned above, organizations must ensure to follow up on reviewing the feedback provided by end-users. There should be a continuous process of following up on feedback reviews before deploying to solve real-world problems in a real-life environment. This can eliminate bias in Artificial Intelligence that can be missed in previous sessions.
Setting up guidelines and regulationsOrganizations should set up guidelines and regulations for effective management of the entire process of eliminating bias in AI. There should be proper documentation and steps being followed to address the biased issues efficiently and effectively.
Focusing on transparencyAI models are expected to provide in-depth meaningful insights to meet the utmost customer satisfaction without any biases. There are strategies being implemented in these artificial intelligence algorithms to offer appropriate results efficiently and effectively. But there are some concerns regarding the presence of bias in AI. It has an opportunity to show incorrect results that can have serious consequences in the nearby future. Thus, eliminating bias in AI is necessary for organizations to earn hefty revenue in the upcoming times. Let’s explore some of the top ten ways to eliminate bias in AI in 2023.Narrowing business problems is one of the top ways for eliminating bias in AI. Organizations with a diverse range of business problems hold the possibility of an unmanageable number of classes in Artificial Intelligence models. Bias in AI can be removed if organizations can narrow down the business problems for effective management. Defined problems are easier for AI models to manage and perform well to yield chúng tôi is well-known that enormous volumes of real-time data are being collected for Artificial Intelligence models to generate insights. But there are three types of data available for AI models— structured, semi-structured, and unstructured. Organizations need to focus and collect only structured real-time data for eliminating bias in Artificial Intelligence. Structured data is known for allowing different opinions that can help AI models to be more flexible.Organizations should introduce appropriate training data to AI models to eliminate bias in AI. Artificial intelligence and machine learning algorithms need to have a full diversity of end-users with additional data sources. Data with multiple classes and labels tend to infuse bias in AI models.Organizations need to infuse a diverse range of questions with the help of a machine learning team full of diversity including gender, age, race, culture, and many more. The more diversified questions, the more is the opportunity to eliminate bias in AI. This will help Artificial Intelligence models to react differently to different questions before the ultimate production process to chúng tôi order to eliminate bias in Artificial Intelligence, organizations should consider the target audience of AI models. The target audience is full of different experiences, tastes, preferences, races, cultures, locations, and many more. Organizations should have a strong and in-depth understanding of the target audience to train AI models for appropriate insights without any bias.Monitoring performance data is crucial for organizations to eliminate bias in AI. They have to look for loopholes, weaknesses, and areas to improve by monitoring performance data. Performances of Artificial Intelligence models depend on multiple factors to infuse bias in insights. Thus, monitoring performance data before production is essential.Eliminating bias in Artificial Intelligence needs to follow one specific process— never deploying the Artificial Intelligence model without considering the necessary feedback from the end-users. Organizations must ensure deploying with feedback to avoid serious consequences in the future. Having an open mind to accept feedback is chúng tôi mentioned above, organizations must ensure to follow up on reviewing the feedback provided by end-users. There should be a continuous process of following up on feedback reviews before deploying to solve real-world problems in a real-life environment. This can eliminate bias in Artificial Intelligence that can be missed in previous sessions.Organizations should set up guidelines and regulations for effective management of the entire process of eliminating bias in AI. There should be proper documentation and steps being followed to address the biased issues efficiently and effectively.Focusing on transparency is needed to eliminate bias in AI models in 2023. There should be the maintenance of transparency in the whole process of dealing with eliminating bias in Artificial Intelligence. Responsible Artificial Intelligence is needed to be implemented to follow the transparency principle since the beginning of the development of AI models.
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