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Artificial Intelligence (AI)

Top 10 Startups in India That Use Ai To Solve Daily Problems

Top 10 startups in india using Artificial Intelligence (AI) to solve daily problems. Artificial Intelligence (AI), the most celebrated technology in the 21st century.

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Top 10 Startups In India That Use Ai To Solve Daily Problems

Artificial Intelligence (AI), the most celebrated technology in the 21st century, is all set to bring a series of revolution in the tech industry. If AI is still alien to you, you should better get acquainted with this AI for the advantages it has to offer.

AI is the conceptual machine designed by humans that is smart enough to perform even the most complex cerebral tasks on its own. Because of its accuracy and agility in performing tasks, AI has been embraced by various industries like Healthcare and medicine, Education, Marketing, Small business, Retail and e-commerce, Public Relations and Recruitment, and human resources for daily assistance. The leading start-ups in India are leveraging AI to solve daily problems and grow their respective businesses.

Top 10 Startups In India That Use Ai To Solve Daily Problems

1. How does the machine learning algorithm benefit both the service provider and its clients?

OYO, a hotel booking start-up founded by a 19-year-old boy is now India’s go-to app for booking hotels at a reasonable price. Recently OYO has acquired Dinamica, a data science company with Machine Learning and business intelligence capabilities. Now it will implement ML-enabled pricing and revenue management through which customers would be able to book vacation homes at the best price.

Rivigo serves major brands like Marks & Spencer and Maruti Suzuki, with its unique driver relay mode. This Logistics startup uses AI and ML-based technologies to optimize fuel costs, maximize truck utilization, and minimize dry runs for trucks to make its tasks hassle-free and fast.

Playment: The automated vehicle can move without any human input depending on the sensors, Mapping and Localization, Trajectory Planning, and Motion Control. Playment provides data training, algorithms to find relationships, pattern detection, complex problem detection, and decision making to make a machine learn things and perform tasks independently.

2. Is AI helpful enough in keeping you fit?

Cure.fit is a fitness, therapy, and healthcare provider that runs over 100 fitness centers across India. Now it has also adopted AI to capture a lot more immediate data of their clients to deliver them the better service based on their own data reports.

Nineleaps is using ML algorithms to improve the effectiveness of healthcare services. With the help of the ML algorithm, the organization identifies the correlation between healthcare entities to develop a health knowledge graph. The different datasets acquired through the entities’ can be clubbed together with customer-specific data that can be used to improve the healthcare services across the globe.

Another example of AI’s existence in healthcare is Mfine. Mfine is a health-tech AI startup from India, whose system has the ability to diagnose over 1200 common diseases and it can also read hundreds of health parameters in the diagnostic reports which help doctors work effectively without wasting their time on trivial things. Mfine is ready to take a huge leap with tripling its investment in AI.

3. Could AI detect frauds?

Could AI detect frauds

Yes, undoubtedly. The growing cases of fraud have always been a point of major concern for payment gateways. Razorpay, a business process payment company, has acquired Thirdwatch that provides SaaS-based fraud detection. The trust score based evaluation technique is used to identify if the transaction is genuine or fraudulent in real-time. The Return-To-Origin losses are under control since the AI technology has been enforced by the company.

4. What does AI have for insurers?

Acko, a general insurance company, is using AI to streamline its operations to engage with the target audience effectively and facilitate sales. AI enables insurers to apply machine learning, predictive analysis, and data modeling to the entire insurance value chain to improve the quality of service and enhance customer satisfaction.

Digital Insurance, a Bengaluru based tech insurance company is employing machine learning for faster reconciliation, fraud management, float management, and claims settlement. The company says that AI would bring down the management cost and it would also reduce the turnaround time in the future.

5. Has the thought of managing everything with a single app ever struck your mind?

An AI-driven hyperlocal concierge app Dunzo has made task management easy irrespective of the complexity of the task. With the help of the Dunzo app, you can create your to-do list and collaborate with vendors. You can also manage your personal tasks through the app, and it could be anything from paying bills to repairing stuff.

6. Why should you deploy AI in your business?

Earlier Artificial intelligence was only affordable and accessible to giant organizations but things are changing now. The spiking need for AI has brought down its cost, and it is now readily available to small businesses and startups.

There is literally no industry in the world that is untouched by Artificial Intelligence because AI can be used to counter any problem that we face in day to day life.

AI would help businesses to increase their sales, improve customer experience, detect fraud, automate work processes and provide predictive analysis.

We have all witnessed the usefulness of AI-based virtual assistance chatbots like Siri, Alexa, OK Google, and Cortana. They have taken off our workload to a considerable extent.

Deployment of machines in critical areas prevents human errors and improves accuracy, which is crucial for organizations that want to provide their clients with top-notch service.

A large amount of data can be processed within the blink of an eye and that too to the zenith of perfection.

Further, AIs are continuously evolving to reach remote areas that are unexplored by humans. We will soon see AI as one of the dominant technologies in every industry and in our lives.

The start-ups are highly relying on Artificial Intelligence for the processes; where speed, accuracy, data processing, and cost are the driving factors. To make the outcome of your work more fruitful, it becomes important to manage your resources wisely in which only AI can help you. The adoption of such technologies gives you a maximum yield with limited efforts.

Helpful Resources:

1. Why is Cybersecurity Important For Enterprises?

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3. Impact of Artificial Intelligence (AI) on Software Development Industry in [2019]

4. Do Human Translators Have a Reason to Be Afraid of Advancing Technologies

5. Artificial Intelligence And Its Demands To The Programmers

6. Artificial intelligence (AI): Friend or Foe to Future Designers?

Great Learning is an online and hybrid learning company that offers high-quality, impactful and industry-relevant learning programs catering to the needs of working professionals in a data-driven world.

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Artificial Intelligence (AI)

How to Apply Artificial Intelligence in Chat Filters

In this article, we shall discuss how to apply Artificial Intelligence (AI) in chat filters. If you are building a chat room, you need to create a chat filter to remove offensive words from the conversation.

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Top 10 Startups In India That Use Ai To Solve Daily Problems

In this article, we shall discuss how to apply Artificial Intelligence (AI) in chat filters.

If you are building a chat room, you need to create a chat filter to remove offensive words from the conversation. A chat filter is a script commonly used in chat rooms for automatically scanning the users’ comments. This process starts immediately after posting the comments, and filters remove or censor inappropriate words. These filters also decide the flow of the chat in a conversation.

Suppose you want to make a Career in Artificial Intelligence. In that case, you should have a strong foundation of statistics and mathematics, one programming language, preferably Python, and the fundamentals of machine learning and its various algorithms. It would help you to start a career in AI.

The people who are already in the AI and related industries can pursue the AI Program Leader. It will help them upgrade themselves to the latest trends and technologies related to AI and machine learning.

Career in Artificial Intelligence Programming

Image Credit: geeksforgeeks

As technology is advancing with time, the application of AI is increasing in every domain. Human beings capabilities like understanding the complexities of various languages, computer vision, speech, and building new intelligent ideas are now possible using AI technology. For that, we have to update with the latest developments in AI and its advanced areas.

Here, we will discuss the application of Artificial Intelligence in chatbot filters.

There are two categories of chat filters used in chat rooms or internet forums – the basic and advanced chatbot filters. The basic bot filters scan only for particular strings of letters and censor them. It doesn’t take care of the meaning of those letters in the context of the sentence.

Advanced chatbot filters examine the letters or words in the sentence context, and hence, their filtering is more sophisticated. Some more advanced chatting filters use a regular expression to find and replace terms in a sentence.

1. Types of Chat Filters

There are five different types of chatbot filter:

Attribute: In this type of filter, you have to create your quality to create a rule.

Lifespan: In this type, the bot acts based on the lifespan value.

Score: Here, we use the confidence score value to choose the response that should allow the bot trigger.

Resolve Query: In this filter, the bot responds depending on the user’s input.

Trigger: Determine trigger to activate bot responses and actions.

These are the different filters that may apply to a chatbot. We can use multiple filters for a single response. A user can see the reactions only if they meet the criteria in the filter.

2. Need for Artificial Intelligence in Chat Filters

Artificial Intelligence changed the way we think about data. It changed the people’s paradigm about how we integrate information and analyze data, and based upon the data, how to improve the decision-making ability of machines. AI is already interfering with our day-to-day life. From Google search results recommendations to Apple’s virtual assistant Siri, we use AI in every aspect of life.

Typically most filters use a binary allow/disallow list, but we know that languages are not binary. They are complex and modulated.

In many older internet forums, some common swear words will be allowed based on context. One can build a regular expression or RegEx tool, and it can filter the string out of terms, but it cannot distinguish between some critical phrases. For that, we need to apply artificial intelligence and natural language processing in creating chat rooms.

3. Application of Natural Language Processing in Chat Filters

In the case of chatbot filters, we use natural language processing. NLP is a sub-domain of AI that deals with the interaction between computers and human language. It helps the filters process and analyses the vast amount of natural language data that results in a machine capable of understanding the available content more clearly.

One can program our chatbots to reply according to the context of the conversation and the data about the user. For example, one may ask the visitor whether he/she is a vegetarian or non-vegetarian and display the menu based upon the visitor’s reply using chat filters.

Application of Natural Language Processing in Chat Filters

Image Credit: chatbot.com

In another example, consider a situation where you want your bot to forward registered users to your website and the new visitors to a registration form. Then, we have to create a flow to check if the user is registered or not.

Application of Natural Language Processing in Chat Filters

Image Credit: chatbot.com

If a user clicks on yes, it shows him one kind of bot response and if he chooses no, it would lead to a different action. We can implement all this filtering in a chatbot by using NLP.

It is not easy for computers to understand the rules that dictate information passing using natural language processing. Sometimes these rules may be highly complex; for example, when we use a sarcastic remark to convey the message. On the other hand, sometimes there may be situations where these rules may be low-levelled; for example, one can use the character “s” for the plural form of the word.

To comprehensively understand the human language, one needs to know the language and how the terms are connected to the sentence to deliver the desired message.

NLP necessitates the algorithms to identify and extract the natural language rules for converting unstructured language data into structured language data. This is how AI and NLP are applied to chat filters.

Overall, we can say that artificial intelligence can make chatbot filters very easy and efficient. However, the techniques deployed in a particular scenario would vary case by case.

4. Frequently Asked Questions (FAQs)

a. What are the chatbots and chat filters?

Ans: Chatbots are software application for conducting an online conversation between humans and machines. It can be a text-based or text-to-speech-based system and can respond according to the user’s query.

A chat filter is used in a chatbot to censor the inappropriate words or sentences in a chat. Chat filters decide the flow of the conversation based on the user’s input.

b. What are Artificial Intelligence (AI) and Natural Language Processing (NLP)?

Ans: It can learn a specific task by a machine without explicitly programming for that task. AI systems are designed to make decisions by analyzing real-time data.

NLP is a subdomain of AI, specially programmed for interaction between humans and computers. Using NLP, a machine can read, decipher, understand, and make sense of a human language in such a practical manner.

c. How to apply AI into a chat filter?

Ans: Using a particular NLP algorithm, we can apply artificial intelligence into chat filters to smooth the undesirable content in a chat. There are different ways in which we can control the flow of the conversation in a chat room.

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