AI Chatbots and Recognition Technology: How Do The Machines Learn?


Spearheading applications, for example, AiCure and ePAT are significantly improving the social insurance setting. While AiCure utilizes facial acknowledgment innovation to improve prescription adherence rehearses on a cell phone, ePAT can identify facial subtleties related with torment and help in reasonable agony management.AI chatbots and acknowledgment innovation have moved toward becoming positively standard. This extreme innovation is digging in for the long haul and advance. Needs help? Call us today!

AI chatbots and recognition technology are seeping into every segment of society. It is making new waves everywhere. This intelligent technology is making to every corner of our lives, right from our homes, businesses to our relationships.

Now it is not just about home experiences and trending gadgets anymore. The current market has already seen chatbot therapists, chatbot educators, chatbot lawyers, and chatbot customer service representatives. Let us see to what extent AI chatbots and Recognition Technology, is impacting our lives.

AI Chatbot Success

As AI technologies proliferate, they are becoming integral for businesses globally. They are giving businesses a competitive edge over others. A strategically designed and implemented chatbot can work wonders for businesses worldwide.

AI chatbots and recognition technology is a brilliant way to outsource manual work and non-judgmental work. This technology saves up time, effort, and money. With AI in place, businesses can concentrate and invest in skilled work.

It also substantially reduces staff workload. As per the Grand View Research, the chatbot market is expected to hit a whopping $1.25 Billion by the year 2025 at a CAGR of 24.3%.

As digital transactions are becoming the standard norm of purchasing goods and services, leading eCommerce firms are using AI to enhance their customer loyalty and brand competitiveness. Some of the leading e-Commerce brands using AI technology include eBay, Alibaba, Amazon, ASOS, and

As per an Oracle survey, 80% of businesses want chatbots by 2020. Companies such as Nitro Café, Sephora, 1–800 Flowers, Coca Cola, Snap Travel, and Marriott have started seeing returns. Here are a few AI chatbot success stories.

  • Nitro Café: Nitro Café’s messenger chatbot designed for direct payments, easy ordering, and instant 2-way communication has led to an increase in Nitro Café’s sales by 20%.
  • Sephora: Sephora’s facebook messenger chatbot has increased its makeover appointments by 11%.
  • ASOS: ASOS’s Messenger chatbots helped reach 3.5x more people, increased returns by 250% and increased its number of orders by 300%.
  • 1–800 Flowers: 1–800 Flowers reported that 70% of its messenger orders were derived from new customers.

Uses of AI Recognition Technology

  1. Voice Recognition Technology

Voice recognition technology has revolutionized our lives in multiple ways. It is already being used in live subtitling on television, for offline note making systems or offline speech to text conversion and in dictation tools for the legal and medical profession.

Virtual assistants such as Amazon’s Alexa, Google’s Google Home, and Apple’s HomePod use voice recognition technology. These virtual assistants can control your smart home.

They can control thermostats, TVs, garage doors, lights, fans, locks, sprinklers, and switches. They can also play music, make calls, send texts, help you watch the footage from your security cameras, let you listen to audio books, make food orders, create alarms and reminders for you and give you News information.

You can also browse the internet for information about gazillion things as per your discretion. You can do all of this with just your voice.

With “OK Google” and “Hey Siri” making it to our smartphones, voice recognition technology has largely impacted the way we function.

With the help of voice recognition technology, you can also solve crimes, secure your bank accounts, and buy products and services.

2. Facial Recognition Technology

For long now AI facial recognition technology has been associated with the security sector. However, today, you can see its active expansion into other industries such as marketing, retail, and health.

Some of the common uses of AI facial recognition technology include unlocking of phones, prevention of retail crimes, smarter advertising, helping the blind, finding missing persons and pets, protection of law enforcement, facilitating forensic investigations, identifying people on social media platforms, diagnosing diseases, tracking attendance at school, college and workplace, facilitate secure transactions, validate identities at ATMs and control access to sensitive areas.

AI-based recognition technology has also revolutionized the photography industry. An example of the same would be Accent AI 2.0, which is an AI recognition technology implemented in Luminar 3.

It features object and facial recognition technology that helps photographers to improve different part of the photo instantly, for instance, make the sky more expressive by applying a brighter color or replace portrait background.

Chris Burkard — a well-known photographer and artist, has in-length appreciated the fascinating and diverse use of the distinguishing AI facial recognition technology in the field of photography. He thinks the AI recognition technology has amplified accuracy and acts as a significant support system for an artist’s creativity.

Pioneering applications such as AiCure and ePAT are dramatically improving the health care setting. While AiCure uses facial recognition technology to improve medication adherence practices on a mobile device, ePAT can detect facial nuances associated with pain and help in prudent pain management.

AI chatbots and recognition technology have become decidedly mainstream. This radical technology is here to stay and evolve.


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