AI Development Services

Artificial intelligence (AI) is already becoming progressively more common across multiple industries and their verticals. From natural language processing (NLP) assistants on people’s phones to self-driving cars, AI’s use cases and benefits have revolutionized the world from the beginning.

In business, AI helps bring out the real value of enterprise data. Leaders can use AI to reinvent their business by improving customer experience, reducing costs, automating operations, accelerating decision-making, and reducing downtime.

AI development services give companies a competitive edge and overcome complex business challenges by providing business applications that are ready for the future.

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What Are the Four Types of AI?

AI is still under development and there’s obviously a lot more to discover about the technology. So far, every AI-related occurrence falls into one of the following four categories.

  • Reactive AI Machines

    As the name suggests, reactive machines are exactly that — reactionary. They represent the oldest forms of AI systems, programmed to provide a predictable output based on the received input.

    While these machines try to emulate the human ability to respond to different scenarios, they don’t have any memory-based functionality. They always respond to identical situations identically and can’t use previously gained experiences to learn. Despite being inherently limited, reactive AI machines are still useful for performing basic autonomous functions like filtering spam from email inboxes.

    Popular examples of reactive AI machines include the Netflix movie recommendation engine and Deep Blue, the chess-playing IBM supercomputer that beat chess grandmaster Garry Kasparov in 1997.

  • Limited Memory AI

    Limited memory AI has the same abilities as reactive AI machines plus the capability of learning from historical data to make decisions. These machines receive their training from large volumes of data that they store in their memory to use as a future reference when solving new problems.

    Almost every existing AI-based application correlates with this type of artificial intelligence. Image recognition, self-driving cars, chatbots, and many other applications use limited memory AI.

    Image recognition AI, for instance, trains using thousands of pictures and their respective labels to learn how to recognize and name different objects. Because these machines base their categorizing abilities on “learned experiences,” they’re able to identify new images with increasing accuracy. Limited memory AI receives this designation because the information that these AI systems work with is fleeting and not stored in its long-term memory.

  • Theory of Mind AI

    Theory of mind AI is the next level of AI systems and remains a work in progress. This type of tech has the ability to interact closely with other entities by understanding their needs, emotions, beliefs, and thought processes. It requires the development of several other AI branches to perceive humans as individuals with minds shaped by various factors. Theory of mind AI will essentially understand humans in the future.

    These machines will acquire humanlike decision-making abilities, remembering emotions and adjusting their behavior based on them to interact with people. This is probably the biggest hurdle developers need to overcome to create theory of mind AI systems, considering how fluidly humans shift emotions throughout their communications.

    The machine learning stage undoubtedly comes with many mistakes. It, understandably, sometimes takes a long time for the AI system to accurately read the various nuances of emotional cues.

  • Self-Aware AI

    Possibly one of the final steps in AI development is creating self-aware AI. At the moment, the necessary hardware and algorithms to support this type of sophisticated AI aren’t available.

    Self-aware AI will evolve to the point of possessing the same level of consciousness as the human brain. It will be able to understand the emotions of the people it interacts with, but it will also have its own feelings, needs, beliefs, and desires. Creating this type of AI is the ultimate goal of AI research.

    Self-aware AI has the potential to allow civilization to progress and evolve in an unprecedented way. However, there’s also a huge catastrophic perception associated with it. Many believe that self-aware AI will develop self-preservation ideas that could potentially lead it to try destroying humanity. Hollywood furthers this idea with many movies about robots taking over the world thanks to out-of-control AI.

    At the moment, the most popular yet rudimentary version of self-aware AI is Sophia, a robot developed by Hanson Robotics. It isn’t a self-aware robot yet, but it provides a few glimpses of the future of this type of AI.

AI Applications Across Industries

AI has a wide variety of applications throughout different industries. Here are a few of its many advantages in business, sales, marketing, customer support, accounting, and IT operations.

Artificial Intelligence in Business

The main current uses of AI in business include automation, data analytics, and NLP. 

Using AI systems to automate repetitive tasks is one of the most common applications of AI in business. It allows employees to focus on higher-value work instead of dividing their attention throughout different tasks.

Data analytics performed by AI systems allow companies to gain access to previously inaccessible business insights. Data analytics discovers new patterns and correlations in data.

Natural language processing is a branch of computer science that gives computers the humanlike ability to understand both written text and spoken words. NLP is a very important tool in business as it empowers search engines to be smarter and chatbots to be more helpful, for example. 

Other uses of AI in business include data transferring, cross-referencing, predicting consumer behavior, and fraud detection.

Artificial Intelligence in Sales

Sellers and sales companies understand the importance of the connection between humans and machines and are taking advantage of it. Using AI, sales companies can access demand forecasting, lead scoring, and use sales representative chats or email bots to increase their sales.

Demand forecasting is the process of making future estimations concerning customer demand over a specific period. Forecasts are complex, but it’s possible to automate them with AI, as it provides accurate sales projections based on client interactions and historical sales.

AI helps sellers prioritize their leads. This means that sellers can accurately determine which customers are more likely to convert and focus their attention on them until they’re able to close a deal.

Chatbots on e-commerce websites usually send out tailored messages to users that help improve and simplify their experience. They’re associated with an overall increase in online sales.

Artificial Intelligence in Marketing

Many organizations adopt AI systems to improve both their operational efficiency and customer experience. They’re able to acquire deeper information regarding their target consumers that they can later use to promote further conversions.

AI can assist in improving the visitor’s experience on a website through the following intelligent personalization applications: 

  • Personalized content – The overall website experience can greatly improve if viewers have access to personalized content. AI can determine the user’s location, demographics, devices, and other information and use that to display the most relevant content.
  • Push notifications – Push notifications are also tailored to individuals according to their online behavior. AI analyzes such data to send out relevant messages and offers at the most appropriate moments.
  • Image recognition – AI associated with image recognition is extremely important to companies. Marketers can analyze countless pictures uploaded daily to social media to gain insight into who’s using their products and when and how they’re doing so.
  • SEO optimization – AI allows companies to identify specific terms or phrases that people use when searching for certain items or services. By adopting these search items into their website copy, companies increase their chances of getting new viewers. These new users are then convertible, which results in increased sales.

Another use of AI in marketing is the analysis of customer satisfaction. Companies gather data to better understand how customers perceive their brand by scanning through social media posts, reviews, and any ratings that mention the brand.

Artificial Intelligence in Customer Support

Customer support is one of the most important lines of business. This field is responsible for ensuring that consumers appreciate their experience and promptly resolving any issues that might surface.

Introducing AI into customer support can enhance the customer service experience by providing chatbots as customer service agents and voice bots capable of reducing the number of calls.

Chatbots can assist a great number of consumers 24/7 without the need for human employees. They work as a first-line encounter that identifies consumers’ needs and guarantees that they’re connected to the right people.

AI voice bots receive customer calls and offer answers to common questions, just like a chatbox but in a speech format. They can also listen to the caller, interpret their mood, and detect the seriousness of the situation.

Artificial Intelligence in Accounting

Many accounting tasks are repetitive and tedious. Fortunately, AI systems can automate such activities while also improving efficiency and uncovering hidden trends in the data.

AI in accounting automates processes like recording data, categorizing transactions, correlating data, evaluating expense reports, and tracking pricing changes. AI-based systems can handle these monotonous activities with much less error than humans. They can also semi-automate payroll-like processes. 

Artificial Intelligence in Operations

AI in operations blazes the path toward successful digital transformation and improved IT processes. Businesses can use AI to automate important areas like cybersecurity and software maintenance tasks.

AI and machine learning systems help IT staff maintain the company’s systems, keep everything running smoothly, and even detect possible threats faster than humans.

AI Projects to Implement in a Company

Considering the wide variety of ways different companies use AI to improve their businesses, it’s easier to understand what kinds of AI projects could be useful for different organizations, depending on their needs. Some AI projects that companies can implement include:

  • AI and machine learning software and application development – Companies can build AI and machine learning tools to solve different business challenges like data analysis, system integration, data cleaning, and problem-solving.
  • Natural language processing services – NLP solutions in businesses usually appear as statistical machine translation, optical recognition, text processing, programmatic intent analysis, and real speech pattern analysis systems.
  • Advanced analysis solutions – Companies want to obtain and process accurate, high-quality, and traceable business-critical data. To do this, they implement AI-based projects that organize disparate data and develop powerful models to identify data relationships and trends.
  • Smart assistants and AI chatbot development services – Companies that want to expedite their customer services can implement multipurpose chatbots and smart assistants. These can analyze deep conversational patterns, decode natural language, track user feedback, and much more.

How to Select an AI Development Company for Your Products

Some companies don’t have the means, staff, or funds to develop their AI products. Luckily, they can find the talented experts they need at affordable prices by working with outsourcing providers.

Not all AI outsourcing companies are the best fit for every company. Businesses must do some research to find the best outsourcing partner that aligns with their vision and values.

The first step in selecting an AI development team involves researching the provider and the team, consulting with representatives, and analyzing their portfolios and references.

The company needs to make sure that they’re working with an outsourcing provider that has experts with skills and experience that fit the project’s requirements. They should look into the provider’s specializations, past projects, previous customers, and customer reviews.

The next step is to evaluate if the outsourcing company possesses the required infrastructure for the project at hand. AI is a particular specialization that needs specific platforms for big data, machine learning, business intelligence, and many other areas.

Because AI projects are so complex, project management is crucial throughout the development stage. Some outsourced teams come with their own management staff. In these cases, it’s important to determine how the managers work and how they keep tabs on the team.

The company should ask the provider what criteria the managers use to make decisions, how they track project development and productivity, and any other questions they might find relevant.

Once the business leaders decide on which outsourcing provider they want to work with, all that’s left to do is to draft and sign a contract and any other necessary legal paperwork. These documents should contain all project details and agreed terms. If confidentiality is a must, companies can propose that the outsourcing provider signs an NDA.

Working With BairesDev on Your AI Projects

Choosing to work with an outsourcing provider to develop AI projects comes with many advantages. It eliminates the hassle of going through an extensive recruitment process and also eliminates the need for training an entire in-house team.

Outsourcing providers offer access to a pool of talented experts with relevant skills and previous experiences that companies can choose depending on their project’s needs. And they can do so without having to spend a lot of money.

Outsourced teams are not only a lot more affordable than in-house developers, but they also have access to the required infrastructure. This way, companies don’t have to invest financial resources into acquiring dedicated spaces and tools for their projects.

AI outsourcing also reduces the time to market. Outsourced teams add a lot of value to the projects as they dedicate all of their work hours to progressing through their tasks. This not only guarantees that the final products are high quality, but it also allows companies to quickly launch new products.

Working with outsourcing providers is key for companies that are looking for scalability and flexibility. Dedicated AI and machine learning experts are always available whenever the company needs them. They’re also able to dynamically scale the company’s projects according to the market’s demands, allowing the company to remain competitive.

Another advantage of working with AI outsourced development teams is that they relieve company staff of any task related to the project at hand. This way, they’re able to focus on core business assignments, increasing overall efficiency and productivity.

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AI Development Team

Artificial intelligence (AI) is now a part of all industries, from e-commerce to health care

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Artificial intelligence is now a common tool found across a wide variety of industries. It is especially important in business as it brings out the real value of enterprise data and gives companies a competitive edge.

All existing AI systems fall into one of four categories: reactive AI machines, limited memory AI, theory of mind AI, and self-aware AI. These systems can benefit many areas like business, sales, marketing, customer support, accounting, IT operations, and more.

These industries can implement different AI projects to help them grow. Common AI projects include AI and ML software and application development, natural language processing services, advanced analysis solutions, and smart assistants and AI chatbot development services.

Many companies prefer working with outsourcing providers to develop their AI projects. After following a few steps to select the right AI outsourcing provider, companies can enjoy the many benefits of this working model.

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