If you are yet to adapt your business to the upcoming era of voice-tech, elucidated below are top 12 reasons why voice-first should be an important part of any business strategy:1. Hence, the technology that resolves their predicaments must be innovative and inclusive of their changing requirements. AI-based Voice assistant is the demand from consumers especially because of its quick assistance calibre. Hence, the technology that resolves their predicaments must be innovative and inclusive of their changing requirements. AI-based Voice assistant is the demand from consumers especially because of its quick assistance calibre. Surprisingly, by establishing a seamless connection between customer end and service personnel, AI voice chat bot technology brings an integrated solution that helps improve customer’s side of the experience. CONVERSATIONAL INTIMACY SPAWNS PERSONALIZED COMMERCEThe meaning of any conversation is to establish strong, lasting connection with people, which is what intelligent voice assistant software do.
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Here are some of the important use cases for which WhatsApp API solutions have proved to be extremely effective in the banking & FinTech sector. Lead Generation ProcessWhatsApp chatbot for banking & FinTech can be an excellent way to generate high-quality leads. Adding a simple click-to-chat feature on the most preferred chat app, companies can engage their prospects through WhatsApp bot. A simple nudge and a push via WhatsApp bot can help boost your conversion rates substantially. Instant Customer FeedbackAfter rendering your banking services, you can ask customers to rate you immediately via the same WhatsApp bot conversation.
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With growing complexity and interconnectivity in the supply chain industry, technology like artificial intelligence and machine learning has become central to logistics management. Firms across the globe are increasingly implementing AI to streamline and optimize handling of logistics and inventory management. This is why Artificial Intelligence is a boon to Supply Chain Management. Elucidated below are 8 ways AI is revolutionizing the supply chain and logistics management-1. WORKFORCE MANAGEMENTNeedless to say, with an effective AI managing your supply chain, dependence on an administrative staff becomes minimum.
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All of these instances have one common denominator - data science. Companies are utilizing their most valuable asset - data, and employing data science to beat their competitors by a mile. From making better decisions, defining goals, identifying opportunities and classifying target audience to choosing the right talent, data science offers immense value to businesses. The compelling data science story of Ford indicates how manufacturers take advantage of data. From wireless connections to in-vehicle sensors, Ford is leveraging advancements to gain insights into driver behavior and improve production times.
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A real estate WhatsApp chatbot is essentially a computer program specifically developed and designed to assist the property buyers and sellers with their queries regarding availability, location or prices. With a large number of property units under their purview, real estate companies receive a lot of enquiries. Not only can real estate WhatsApp chatbot instantly address such queries, a support agent can also jump in seamlessly to address the complex queries. If you are also a part of the real estate sector and wondering how chatbot technology can help you drive more business, here are some of the most important use cases for real estate WhatsApp chatbot you need to know about. Read Full Article 11 Top Use Cases of WhatsApp Chatbot for Real Estate
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But adopting DevOps requires the knowledge of Automation Testing to increase the effectiveness, efficiency and coverage of your software testing. Optimization of Speed and AccuracyOnce the tests are documented, automation testing takes less time than corresponding manual testing. Thus, even though test automation looks expensive in the initial period, one has to realise that automation software is a long-lasting, reusable product that can justify its cost. For example, with automation testing, a time-consuming and redundant procedure such as GUI testing becomes very easy. Read Full Article Automation Testing Tools
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The finance sector, specifically, has seen a steep rise in the use cases of machine learning applications to advance better outcomes for both consumers and businesses. The future holds a high possibility of machine learning technologies powering the most advanced cybersecurity networks. Chatbots, paperwork automation, and employee training gamification are some of the examples of process automation in finance using machine learning. Algorithmic Trading Machine Learning in trading is another excellent example of an effective use case in the finance industry. Machine learning algorithms can also analyze hundreds of data sources simultaneously, giving the traders a distinct advantage over the market average.
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To be able to build an app on the scale of Headspace, it will require a lot of time and resources, but you can start with the basics for now. Countdown Timer – This is the basis of the meditation app. You can integrate sounds of nature, birds, and the ocean to give the app a much pleasant and calming experience. You can send reminders to begin meditation, introduce new features or content, and more, directly through notifications, without having them to open the app. The app must be easy to navigate, and as you add more features, you must have a short introductory video as well.
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Natural Language Processing or NLP is a concept based on deep-learning that enables computers to make sense of human language and gather meaning from inputs given by users. The Need For NLP WhatsApp ChatbotThe NLP function might not apply to every chatbot. Not being able to understand customers’ queries as per their intended meaning can negatively affect the customer experience. Introduction of NLP WhatsApp chatbot helps customers to resolve their queries on WhatsApp. Read Full Article How to Create NLP WhatsApp Chatbot Using Dialogflow – 5 Easy Steps
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What is AI-Based Visual Inspection? It entails visually inspecting the components of an assembly line to detect and repair problems. What is Deep Learning in a Visual Inspection? Doing this makes it a powerful tool for tasks that are difficult to automate, such as visual inspection. Read a full guide to know more about the Application of Automated Visual Inspection
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According to a report, global healthcare expenditure is expected to reach USD 10 trillion by 2022. With time, the use of technology has brought structural changes to the healthcare industry, for the better. Whether it’s managing endless administrative processes in hospitals, providing personalized care and treatment or facilitating better access, technological advancements like mobile healthcare, also known as mhealth, and machine learning in healthcare have streamlined the healthcare sector to a great extent. Let us dive deeper into how machine learning in healthcare combined with the easier accessibility of mobile devices is transforming the healthcare space. As we have already discussed, mHealth is redefining the healthcare industry, and here we will look at why healthcare companies will benefit by including mHealth in their business strategy:Read Full Article Here
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To make the right choice in testing approach, let’s better understand the differences between traditional testing vs. Here we have explored the traditional and modern testing principles in more detail in terms of their features, advantages, disadvantages, along with the benefits of modern testing over the traditional method. With time, IT practices have evolved and so have testing approaches, as traditional testing usually fails to address the product’s continuous testing needs. What is Modern/Agile Testing? In agile testing methodology, both the development and testing tasks are performed collaboratively while ensuring an exclusive tester for testing purposes.
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Hence, the Rapid Application Development (RAD) model was introduced. Let's discuss in detail the steps involved in rapid application development and how they help build the ultimate product. As a result, the development phase is faster and helps accelerate the launch. Should You Use the RAD Model? If you have expert engineers who can process your needs into a controlled application, RAD is for you.
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As the name suggests, big data analytics refers to managing and analysing large data sets. Let us explore how small businesses can benefit from data analytics and learn about the technologies that enable big data analytics for businesses. The big data analytics technology is a combination of several techniques and processing methods. 6) Distributed StorageA way to counter independent node failures and loss or corruption of big data sources, distributed file stores contain replicated data. Used by Apache Hadoop and other distributed data stores for real-time or near real-time access to data stored on various platforms, data virtualization is one of the most used big data technologies.
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In this post, we explore chatbots and their types along with the best chatbot builder 2021 to help you build an interactive chatbot. 14 Best Chatbot Development ToolsAmong the best ai chatbot builder platforms include-1. WotNotOne of the best ai based chatbot builder platforms available, WotNot helps you build intelligent chatbots and also offers a complete range of conversational marketing solutions for multiple industries. This AI bot builder can also be integrated with social media platforms and e-commerce websites and have live chat options. You can use the platform across multiple platforms while also integrating them with other 3rd party platforms.
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The selection process of the right software development company to outsource your development to is a crucial task. Try to avoid becoming the first project of any outsourcing partner, unless the outsourcing software development company matches other criteria of your selection. Similarly, the portfolio matters when outsourcing software development to India. Considering that, here are the questions you should ask in relevance to development processes:Are they using an effective software development method? This is because it is possible that the outsourcing software development company uses a better model.
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If you are yet to adapt your business to the upcoming era of voice-tech, elucidated below are top 12 reasons why voice-first should be an important part of any business strategy:1. Hence, the technology that resolves their predicaments must be innovative and inclusive of their changing requirements. AI-based Voice assistant is the demand from consumers especially because of its quick assistance calibre. Hence, the technology that resolves their predicaments must be innovative and inclusive of their changing requirements. AI-based Voice assistant is the demand from consumers especially because of its quick assistance calibre. Surprisingly, by establishing a seamless connection between customer end and service personnel, AI voice chat bot technology brings an integrated solution that helps improve customer’s side of the experience. CONVERSATIONAL INTIMACY SPAWNS PERSONALIZED COMMERCEThe meaning of any conversation is to establish strong, lasting connection with people, which is what intelligent voice assistant software do.
Natural Language Processing or NLP is a concept based on deep-learning that enables computers to make sense of human language and gather meaning from inputs given by users. The Need For NLP WhatsApp ChatbotThe NLP function might not apply to every chatbot. Not being able to understand customers’ queries as per their intended meaning can negatively affect the customer experience. Introduction of NLP WhatsApp chatbot helps customers to resolve their queries on WhatsApp. Read Full Article How to Create NLP WhatsApp Chatbot Using Dialogflow – 5 Easy Steps
Here are some of the important use cases for which WhatsApp API solutions have proved to be extremely effective in the banking & FinTech sector. Lead Generation ProcessWhatsApp chatbot for banking & FinTech can be an excellent way to generate high-quality leads. Adding a simple click-to-chat feature on the most preferred chat app, companies can engage their prospects through WhatsApp bot. A simple nudge and a push via WhatsApp bot can help boost your conversion rates substantially. Instant Customer FeedbackAfter rendering your banking services, you can ask customers to rate you immediately via the same WhatsApp bot conversation.
What is AI-Based Visual Inspection? It entails visually inspecting the components of an assembly line to detect and repair problems. What is Deep Learning in a Visual Inspection? Doing this makes it a powerful tool for tasks that are difficult to automate, such as visual inspection. Read a full guide to know more about the Application of Automated Visual Inspection
With growing complexity and interconnectivity in the supply chain industry, technology like artificial intelligence and machine learning has become central to logistics management. Firms across the globe are increasingly implementing AI to streamline and optimize handling of logistics and inventory management. This is why Artificial Intelligence is a boon to Supply Chain Management. Elucidated below are 8 ways AI is revolutionizing the supply chain and logistics management-1. WORKFORCE MANAGEMENTNeedless to say, with an effective AI managing your supply chain, dependence on an administrative staff becomes minimum.
According to a report, global healthcare expenditure is expected to reach USD 10 trillion by 2022. With time, the use of technology has brought structural changes to the healthcare industry, for the better. Whether it’s managing endless administrative processes in hospitals, providing personalized care and treatment or facilitating better access, technological advancements like mobile healthcare, also known as mhealth, and machine learning in healthcare have streamlined the healthcare sector to a great extent. Let us dive deeper into how machine learning in healthcare combined with the easier accessibility of mobile devices is transforming the healthcare space. As we have already discussed, mHealth is redefining the healthcare industry, and here we will look at why healthcare companies will benefit by including mHealth in their business strategy:Read Full Article Here
All of these instances have one common denominator - data science. Companies are utilizing their most valuable asset - data, and employing data science to beat their competitors by a mile. From making better decisions, defining goals, identifying opportunities and classifying target audience to choosing the right talent, data science offers immense value to businesses. The compelling data science story of Ford indicates how manufacturers take advantage of data. From wireless connections to in-vehicle sensors, Ford is leveraging advancements to gain insights into driver behavior and improve production times.
To make the right choice in testing approach, let’s better understand the differences between traditional testing vs. Here we have explored the traditional and modern testing principles in more detail in terms of their features, advantages, disadvantages, along with the benefits of modern testing over the traditional method. With time, IT practices have evolved and so have testing approaches, as traditional testing usually fails to address the product’s continuous testing needs. What is Modern/Agile Testing? In agile testing methodology, both the development and testing tasks are performed collaboratively while ensuring an exclusive tester for testing purposes.
A real estate WhatsApp chatbot is essentially a computer program specifically developed and designed to assist the property buyers and sellers with their queries regarding availability, location or prices. With a large number of property units under their purview, real estate companies receive a lot of enquiries. Not only can real estate WhatsApp chatbot instantly address such queries, a support agent can also jump in seamlessly to address the complex queries. If you are also a part of the real estate sector and wondering how chatbot technology can help you drive more business, here are some of the most important use cases for real estate WhatsApp chatbot you need to know about. Read Full Article 11 Top Use Cases of WhatsApp Chatbot for Real Estate
Hence, the Rapid Application Development (RAD) model was introduced. Let's discuss in detail the steps involved in rapid application development and how they help build the ultimate product. As a result, the development phase is faster and helps accelerate the launch. Should You Use the RAD Model? If you have expert engineers who can process your needs into a controlled application, RAD is for you.
But adopting DevOps requires the knowledge of Automation Testing to increase the effectiveness, efficiency and coverage of your software testing. Optimization of Speed and AccuracyOnce the tests are documented, automation testing takes less time than corresponding manual testing. Thus, even though test automation looks expensive in the initial period, one has to realise that automation software is a long-lasting, reusable product that can justify its cost. For example, with automation testing, a time-consuming and redundant procedure such as GUI testing becomes very easy. Read Full Article Automation Testing Tools
As the name suggests, big data analytics refers to managing and analysing large data sets. Let us explore how small businesses can benefit from data analytics and learn about the technologies that enable big data analytics for businesses. The big data analytics technology is a combination of several techniques and processing methods. 6) Distributed StorageA way to counter independent node failures and loss or corruption of big data sources, distributed file stores contain replicated data. Used by Apache Hadoop and other distributed data stores for real-time or near real-time access to data stored on various platforms, data virtualization is one of the most used big data technologies.
The finance sector, specifically, has seen a steep rise in the use cases of machine learning applications to advance better outcomes for both consumers and businesses. The future holds a high possibility of machine learning technologies powering the most advanced cybersecurity networks. Chatbots, paperwork automation, and employee training gamification are some of the examples of process automation in finance using machine learning. Algorithmic Trading Machine Learning in trading is another excellent example of an effective use case in the finance industry. Machine learning algorithms can also analyze hundreds of data sources simultaneously, giving the traders a distinct advantage over the market average.
In this post, we explore chatbots and their types along with the best chatbot builder 2021 to help you build an interactive chatbot. 14 Best Chatbot Development ToolsAmong the best ai chatbot builder platforms include-1. WotNotOne of the best ai based chatbot builder platforms available, WotNot helps you build intelligent chatbots and also offers a complete range of conversational marketing solutions for multiple industries. This AI bot builder can also be integrated with social media platforms and e-commerce websites and have live chat options. You can use the platform across multiple platforms while also integrating them with other 3rd party platforms.
To be able to build an app on the scale of Headspace, it will require a lot of time and resources, but you can start with the basics for now. Countdown Timer – This is the basis of the meditation app. You can integrate sounds of nature, birds, and the ocean to give the app a much pleasant and calming experience. You can send reminders to begin meditation, introduce new features or content, and more, directly through notifications, without having them to open the app. The app must be easy to navigate, and as you add more features, you must have a short introductory video as well.
The selection process of the right software development company to outsource your development to is a crucial task. Try to avoid becoming the first project of any outsourcing partner, unless the outsourcing software development company matches other criteria of your selection. Similarly, the portfolio matters when outsourcing software development to India. Considering that, here are the questions you should ask in relevance to development processes:Are they using an effective software development method? This is because it is possible that the outsourcing software development company uses a better model.