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text 2021-06-14 07:22
Machine Learning App Development

 

One of the industries that benefit from machine learning the most is mobile application development. The use of machine learning became so widely spread that you might not even suspect that an app relies on it.

Machine learning algorithms find patterns in massive amounts of data to make data-based predictions and decisions. The more data ML processes, the better algorithms become and the more accurate predictions and decisions they make.

Today, three main types of machine learning are defined:

 

  • Supervised machine learning – the algorithm is trained with predefined training examples. It is used for the ML to learn how to reach the right conclusions when new data is fed to it.
  • Unsupervised machine learning – the algorithm is trained on data without predefined rules. It must find patterns and relationships to make predictions in the future.
  • Reinforced machine learning – machine learning is trained to make a sequence of decisions. The agent learns how to achieve the goal in an uncertain and potentially complex environment.


Industries That Can Benefit From Machine Learning Application Development

Machine learning is the solution that is gradually finding its way into various industries. Use cases are numerous and, in this part, we are going to talk about the industries and spheres where machine learning can bring the highest value.

  • Transportation

Smart and self-driving cars have already entered our lives. Artificial intelligence enforced with machine learning algorithms are used to monitor the traffic and predict changes. The combination of these technologies allows for cars to drive without human assistance.

 

  • Healthcare

Machine learning is accelerating the healthcare industry. Such solutions collect and analyze patient data to diagnose and advise possible ways for treatment. Predictive healthcare is gaining traction.

 

  • Finance

The finance industry has a huge amount of data that needs to be analyzed to make predictions for future data collection, management, investment, and transactions. Machine learning and artificial intelligence are used in the industry for fraud detection and fraud prediction.

 

  • Cybersecurity

The technology can analyze data about incident reports, alerts, and more to identify potential threats and improve security analysis or even advise response.

 

  • Manufacturing

Companies with assembly lines can use ML algorithms together with sensors and artificial intelligence to predict the need for maintenance. Thanks to their use, companies can avoid unplanned downtown and drops in production.

 

  • eCommerce

The eCommerce industry already benefits from this technology. Personalized product recommendations increase the average order value and revenue.

 

  • Marketing

This technology can be applied in the ads industry to improve the efficiency of ad campaigns by targeting users with highly personalized ads tailored to their specific interests and needs.

Read more about Machine Learning App Development 

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text 2021-04-20 09:38
Best Uses of AI to Improve your Customer Service Experience

Moving towards the digital world, the relationship between customers and businesses has been transforming over the past decade. Customers these days have higher expectations, therefore companies are busy finding ways of interacting and improving the efficiency and quality of products, services, and processes. Several companies have already started to switch on to AI application development services for enhanced customer experience with automated processes.

In this blog, we’ll be discussing the uses of artificial intelligence that helps with improved customer service experiences.

 



Benefits or Opportunities associated with investing in AI application development services are:

* Acquisition of Customers- Companies with investments made in AI and Machine Learning development services are three times more likely to acquire new customers.

* Customer Retention- Companies with AI applications are likely to have more and improved customer retention rates.

* User Satisfaction- Due to automated processes and personalized experiences offered by AI, companies can offer an increased level of satisfaction to their customers inclusive of the first two points.

In short, investing in AI can help companies to increase their sales and revenue, with increased customer satisfaction.

Using AI tools to Improve Customer Service

Here we bring you the most common use cases of AI application development through which organizations can improve their customer experience and services.

1. Object Detection

These solutions allow you to automate tasks related to image recognition.

For instance, think about a financial institution wanting to accelerate new customers’ onboarding. Using object detection would be of great help. Your customers can just simply upload a photo of their ID proof and a live selfie. Object detection can match the faces of ID proof and selfie, if matched the customer’s identification is done, replacing the whole lengthy process.

2. Language Analyzing

A great asset to improve your on-call experience with customers. Using Language analysis, a calling agent can detect the mood of the customer on-call and can adjust their tone and words accordingly. This tool enables the collaborators to extract the fundamental information from customer feedback and adapt their communication, based on the same.
 
BEAT is an AI-based application developed by Deloitte, stands for Behavioral and Emotional Analytics Tool. The application listens to the phone call conversations between the calling agent and the customers and then, transcribes the wordings and the sentiments.  

3. Optical Character Recognition- OCR

OCR is generally used in document processing automation. With OCR, you can train your systems to read a document and extract the relevant and necessary information from any given document.

Using OCR, you can process your documents digitally, supporting quick and more accurate retrieval of information from the document.

4. Machine Learning Models

You can train the machine learning models and integrate them into your applications to evolve predictive analytics that helps you make more informed and improved business decisions. There are various uses of AI and machine learning model development services as:

Classifying tickets for triaging support, assigning to the right team, and solution recommendations.

Predicting sales discounts, customer support demands, product demands, and available inventory stock.

Automation of risk analysis, approval decisions, business outcomes, etc.

5. Chatbots

A great way to provide a carefree engagement fitting in your customer’s super busy routine life. And one of the most common use cases of AI application development services in customer service is chatbots.

Using chatbots, you can:

Engage more with your customers- customers don’t like filling forms or waiting for getting any query solved. They want immediate experiences. With chatbots, you can have your customers’ feedback in a very conversational style.

Support employees- you can store a lot of information that your employees need to know in QnA format. Chatbots can help you deliver this information to the employees much more quickly and efficiently by just answering their queries.

Scaling the first-line support- rather than having individuals respond to very specific requirements, companies use chatbots to answer the FAQs of their customers. It also helps in decreasing traffic to other channels.

Popular chatbots include software like Intercom and Drift. Nowadays, modern AI application development services also help you with tools to build your chatbots, customized as per your needs.

A Next Level Customer Experience

Customers today have expectations higher than ever before. They believe that you have got exactly what they want. They expect you to provide them with a smooth and effortless experience. And for this AI application development services can play an important role by improving the efficiency in the outcome. In other words, AI application development will help in improving the coolness of your services and procedures.

If you are looking forward to using these above-mentioned cases in your business application and get the best returns on your investment, get in touch with Consagous Technologies, the best AI application development company in USA. We are one of the best AI & machine learning solution providers for more than a decade.

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text 2021-04-09 06:30
How AI & ML are Transforming Social Media?

With the advancement in technology and artificial intelligence, various AI-based application platforms have been gaining popularity for a long time. AI has turned out to be a boom for popular Social Media platforms like Facebook and Instagram. To know more about AI and Machine Learning development services in Social Media, continue reading this article!

 

Today Artificial Intelligence has been a major component of popular Social Media platforms. At the current level of progress, AI for social media has been a powerful tool.
 
 
 

What is Artificial Intelligence?

The term artificial intelligence (AI) refers to any human-like intelligence shown by a machine, robot, or computer. It refers to the ability of machines to mimic or copy the intelligence level of the human mind. This may include actions like understanding and responding to voice commands, learning from previous records, problem-solving, and decision-making.

Many companies are providing AI application development services, which has made it easy for organizations to adopt AI and ML-based applications.
What is Machine Learning?

In general terms, Machine learning (ML) is a subset of AI focusing on building applications and software that can learn from past experiences and data and improve accuracy without being specifically programmed to do so. Machine learning applications learn more from data and are designed to deliver accurate results.
 

How AI works?

Not going deep into the engineerings and software development part of AI, here is just a basic description of working of AI:

  • Using ML, AI tries to mimic human intelligence. AI can make predictions using algorithms and historical data.
AI and ML in Social Media

Today, there exist several applications of AI and ML in different social media platforms. Big Companies have been using AI for a long time and are still into improvising their platforms and also acquiring small firms. There exist varieties of AI and Machine Learning App Development Services that are making the adoption of AI and ML possible.

AI is being used on Social Media platforms in various ways. Some of them are mentioned below:
  •     Analyzing pictures and texts
  •     Advertising
  •     Avoiding unwanted or negative promotions
  •     Spam detection
  •     Data collection
  •     Content flow decisions
  •     Social media insights, etc.
It may sound surprising but your favorite social media apps are already using Artificial Intelligence and Machine Learning.
 
1. Facebook and AI

Whenever it comes to social media, the first name that comes to mind is Facebook. Talking about cutting-edge technology, repurposing user data broken down into billions of accounts, Facebook is the leading social media platform.

Users on Facebook are allowed to upload pictures, watch videos, read texts and blogs, engage with different social groups, and perform many other functions.

Thinking of such a crazy and huge amount of data, a question arises how Facebook handles such data? Here, AI in Facebook comes in handy.

Facebook and the use of AI in Social Media

Here are some major examples of AI applications in Social Media:

* Facebook’s Text Analyzing

Facebook has an AI-based tool “DeepText”. This tool provides deep learning and helps the back-end team to understand the texts better and that too around multiple languages and hence provide better and more accurate advertising to the users.

* Facebook’s Picture Analyzing

Facebook uses Machine Learning to recognize faces in the photos being uploaded. Using face recognition, Facebook helps you find users that are not known to you. This feature also helps in detecting Catfishes (fake profiles created using your profile picture).

The algorithm also has an amazing feature of text explanations that can help visually disabled people by explaining to them what’s in the picture.

* Facebook’s Bad Content Handling

Using the same tool, DeepText, Facebook has been hailing the inappropriate or bad content that gets posted. After getting notified by AI, the team gets to work to understand and investigate the content.

As per the company guidelines, we get to see a few things that are flagged as inappropriate content:

    Nudity or sexual activity

    Hate Speech or symbols

    Spam

    Fake Profiles or fraud

    Contents containing excessive violence or self-harm.

    Violence or Dangerous organizations

    Sale of illegal goods

    Intellectual property violations, etc.

    Facebook’s Suicide Preventions

With the same tool, DeepText, Facebook can recognize posts or searches that represent suicidal thoughts or activities.

Facebook has been playing a crucial role in suicide prevention. With the support of an analysis based on human moderators, Facebook can send videos and ads containing suicide prevention content to these specific users.

Facebook’s Automatic Translation

Facebook has also adapted AI for translating posts automatically in various languages. This helps the translation be more personalized and accurate.
 
2. Instagram with AI

Instagram is a photo and video-sharing social media platform that has been owned by Facebook since 2012. Users can upload pictures, videos (reels and IGTV) of their lifestyle, and other stuff and share them with their followers.

This platform is used by individuals, businesses, fictional characters, and pets as well. Managing all the data manually is next to impossible. Therefore, Instagram has developed AI algorithms and models making it the best platform experience for its regular users.

Instagram and the use of AI

* Instagram Decides What Gets on Your Feed

The Explore feature in Instagram uses AI. The suggested posts that you get to see on your explore section are based on the accounts that you follow and the posts you’ve liked.

Through an AI-based system, Instagram extracts 65 billion features and does 90 million model predictions per second.

The huge amount of data that they collect, helps them to show the users what they like.

* Instagram’s Fighting against Cyberbullying

While Facebook and Twitter are dependent mostly on reports from users, Instagram automatically checks content based on hashtags from other users, using AI. In case something is found against the community guidelines, the AI makes sure that the content is removed from Instagram.

* Instagram’s Spam Filtering

Instagram’s AI is capable of recognizing and removing Spam messages from user’s inboxes and that too in 9 different languages.

With the help of Facebook’s DeepText tool, Instagram’s AI can understand the spam context in most situations for more filtration.

* Instagram’s Improved Target Advertising

Instagram can keep a track of which posts have most of the user engagements or the user’s search preferences. Later, Instagram with the help of AI makes target advertisements for companies based on all such databases.

* Instagram handling Bad Contents

Since Instagram is owned by Facebook, more or less, Instagram also follows the same community guidelines over bad content.
 
3. Twitter and Use of AI

On average, Twitter users post around 6,000 tweets per second. In such a case, AI gets necessary for dealing with such a huge amount of data.

* Tweet Recommendations - AI in Twitter

Twitter firstly implemented AI to improve and give users a better user experience (UX) that would be capable of finding interesting tweets. Now, with the help of AI, Twitter also detects and removes fraud, propaganda, inappropriate content, and hateful accounts.

This recommendation algorithm works in a very interesting way as it learns from your actions over the platform. The tweets are ranked to decide their level of interest, based on the individual users.

AI also considers your past activities of engaging with various types of tweets and uses it to recommend similar tweets.

* Twitter Enhancing Your Pictures - AI in Twitter

Posting of pictures on Twitter was introduced in the year, 2011. Since then, it has been working over an algorithm that is capable of cropping images automatically.

Firstly, they created an algorithm that focused on cropping images based on face recognition, because not every image is supposed to have a face on it. Thus the algorithm was not acceptable.

AI is now used over the platform to crop images before posting them, to make the image look more attractive.

* Tweets Filtration - AI in Twitter

Twitter uses AI to take down inappropriate images and accounts from the platform. Accounts connected to terrorism, manipulation, or spam are taken down using this feature.

* Twitter Fastening the Process -  AI in Twitter

How did Twitter use AI to speed up the platform?

For this, Twitter uses a technique called Knowledge Distillation to train smaller networks imitating the slower but strong networks. The larger network was used to generate predictions over a set of images. Then, they developed a  pruning algorithm to remove the part of the neutral network.

Using these two models Twitter managed to work over cropping of images 10x faster than ever before.
 
4. AI in Snapchat

Snapchat started by acquiring two AI companies. In 2015, it first acquired Looksery, a Ukrainian startup, to improvise its animated lenses feature. Secondly, it acquired AI Factory to enhance its video capabilities.

* Snapchat’s Text Recognition in Videos

Snapchat uses AI to recognize texts in the video, which then adds content to your “Snap”. If you type “Hello”, it automatically creates a comic icon or Bitmoji in the video.

* Snapchat- Cameo Feature

AI in Snapchat can be used to edit one’s face in a video. Using the Cameo feature, the users can create a cartoon video of themselves.

From the above-mentioned renowned, we can extract a list of benefits of AI and ML in Social Media, which is given below:
  •     Prediction of user’s behavior
  •     Recognition of inappropriate or bad content
  •     Helps in improving user’s experience
  •     More personalized experience to the users
  •     Gathering of valuable information and user data.
AI has also helped understand human psychology, tracking multiple characteristics of your behavior and responses.

If you are looking for the best AI & Machine Learning Solutions Provider for your organization, Consagous Technologies is one of the best AI Application Development Company in USA. With years of experience, all the company professionals are great at their work.
 
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text 2021-01-27 11:18
HOW AI APPLICATION DEVELOPMENT SERVICES ENHANCE MOBILE MARKETING

Competition today knows no bounds- it’s more intense and cut-throat than ever before. With the coronavirus pandemic changing the way things work, every new technology is considered as an opportunity to bring something better- something that can provide an upward push to our digital lives.

Artificial Intelligence or AI is one such kind of technology.

The term AI is constantly being attached to growth and something that enables companies to punch a lot above their weight. In fact, companies are banking on AI to provide the users with absolutely cutting-edge AI application development services, that are different and have the potential to offer something highly unique to the users.

 



As far as the relevance of mobile apps goes, there are no second guesses as to how they have completely transformed the way we live our lives.

The World of Mobile Marketing with AI

With AI, brands now have a number of new and better opportunities to market their product or service through mobile marketing. There are no two opinions that AI has huge potential to deliver something better for everyone, and any innovative brand will surely take note of this potential to edge ahead of the competition.

AI and machine learning development services empower companies to understand buyer behavior and bring them suitable results later on that are based on their preferences and selections.

With the amount of time that people are spending on their mobile phones, there is a huge amount of data waiting for marketers to derive insights from it, leading to some of the best instances of user experience that people will come across.

How Development with AI Makes Mobile Marketing Better
   

AI-based Content Generation
 

If a business is critically dependent on amazing content to engage with the market audience, creating such content manually will bring a creative block due to exhaustion sooner rather than later.

With AI application development services, content generation gets easily powered with the help of sophisticated tools that automate the content creation process. To make the user experience more exemplary, the content takes the hyper-personalized approach, where content can get specifically designed for each and every single user. This also results in higher productivity as teams can focus on other strategies and operations, leaving ‘intelligent technology’ to do its work.

More Clickable Ads, Thanks To Relevant Targeting
 

Artificial Intelligence has completely transformed the way through which marketers plan and execute their marketing campaigns. Embedding automated AI-based platforms to an app brings an intelligent targeting system that relies on previously collected user data. This knowledge about the previous data helps in making informed decisions about how an end-user would react under a similar situation in the future.

With such a sophisticated targeting system in place, the user segmentation is pretty well-informed, which subsequently translates into a highly effective advertising campaign.

The simplest instance of AI can be the predictive analysis that delivers better recommendations to customers on e-commerce websites like Amazon, and even streaming services like Netflix that employ various ML algorithms for relevant search results for a nice user experience.

Bringing Chatbots in the Midst
 

Given the competition today, it’s not wrong to say that customer experience is everything. A great customer experience will bring users back, and that’s for sure. If it dwindles even a little bit, customers will ensure that they don’t make the mistake of visiting ever again.

This is where chatbots are now becoming a crucial factor in delivering a better customer experience. From answering the most basic queries to substituting human interaction, chatbots enrich the entire user experience immensely, contributing to better mobile marketing in the process.

Conclusion

The above points are just the starters in what will be a very long relationship between AI and mobile and mobile app marketing. Every AI and machine learning solutions provider has the road ahead clearly marked. With AI as the driving force for technology today, mobile marketing needs to embrace this one as soon as possible.

Consagous Technologies is a pretty renowned AI application development company in USA, that has a highly seasoned team of professionals to create some amazing AI-based solutions for better marketing of your product or service.

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url 2021-01-21 06:59
General Artificial Intelligence : An Overview on The New Era

Here you will find an overview of General Artificial Intelligence. Concepts, types of AI, technologies, and design.

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