Artificial Intelligence Service. AI Solution Provider

AI has started to shape and change our everyday life. In the business world globally, companies apply it to solve challenging issues. For example, some enterprises use artificial intelligence to provide audits by analyzing data.

In today’s world, many people delegate routine and time-consuming tasks to bots to increase productivity and save time for more meaningful work. AI systems automate business operations, quickly deliver customer support, capture useful information, and more. Artificial intelligence accelerates performance and helps eliminate manual handling of huge data flows. Now, let’s consider artificial intelligence is and how artificial intelligence has changed various industries.

AI in Telecom

Combatting Overload

With AI in place, your network will have the ability to react automatically to any type of heavy overload. The network can spot an overload and instantly produce a variety of online instances needed to deal with inbound traffic. It can funnel the extreme traffic.

Optimizing Service Quality by Predicting Future Network Usage

The AI innovation of machine learning can help you optimize a top quality solution. You can use machine learning formulas to forecast how the use of your network will differ throughout the different geographies it covers during a certain amount of time. You will attain much better network optimization results.

Performing Predictive Maintenance

Without artificial intelligence, you can’t preempt hardware-related network trouble. Artificial intelligence is now on your side, giving you the ability to identify signal interference - cell towers, powerlines, etc. - that may cause a network failure. Our expert system can take the toughness and integrity of your network to a whole new level.

Averting Malicious Actions

Artificial intelligence can reliably safeguard your network against destructive actions, such as DDoS assaults. With machine learning, your network can be taught to deal with multiple, concurrent requests, intelligently choosing whether to reject these requests flat-out or redirect them to a less-busy Information Center to be handled manually.

AI in HR and Recruitment

HR managers and recruiters apply AI to train their staff and analyze their performance. By permanently reviewing their data, artificial intelligence will make suggestions to refine productivity. Automation helps HR managers to be mentors and strategists, performing alongside hiring managers, helping to choose and retain the needed candidates.

Artificial intelligence helps to simplify time-consuming scheduling, automatically booking work meetings or interviews. For example, there is a free AI-driven assistant Amy Ingram. This assistant will provide you with updates, fix problems and schedule meetings. It also eliminates unwanted email correspondence.

AI helps improve case management and HR compliance. Case management software captures the staff resources and data according to their questions. AI can submit research and document incidents to decrease risk and make them less time-consuming. Within seconds it finds salary data to help financial departments set relevant strategies.

AI systems can improve onboarding as well. AI coach will help new team member to absorb new material and answer the repeated questions. It will help to explore the company's culture. The new hires will receive the recommendations according to their needs. By automating the onboarding process, you promote employees’ engagement and increase efficiency, and get more accurate information.

AI systems can improve onboarding as well. AI coaches help new team members absorb new material and answer frequently-asked questions. It will help explore your company’s culture. New hires will receive recommendations according to their needs. By automating the onboarding process, you promote employees’ engagement, increase efficiency, and get more accurate information.

Artificial intelligence helps on-the-job study, spending less time and money on training, reducing the learning curve, and giving immediate adaptation. Even employees working remotely get the same onboarding experience as others. AI supports employees who need additional instructions. It recognizes problem areas and prepares necessary plans. HR can use productivity measuring to identify manager efficiency.

Artificial intelligence may even predict turnover, recognizing an employee’s level of engagement. You can re-engage them, understand their interest level, update their profiles, etc., AI-helper is accessible all the time and will accelerate the process.

As you can see, AI has acquired many new roles for increasing efficiency, reducing time and costs for many businesses. Nowadays, it is a valuable tool to solve existing challenges and innovate.

AI in Public Safety and Cybersecurity

With the advancement of artificial intelligence, we need to take into account AI safety issues. Scientists have to make sure that these tech advancements fit our ethics and values. Moreover, AI artificial intelligence has to serve people beyond reaching valuable goals and overcoming technical challenges.

In order to facilitate public safety and cybersecurity, experts need to provide open scientific communication and create transparent systems. AI systems could influence international economies and policies. That’s why AI teams need to discuss these complex questions with the community.

AI in Banking

Banks are implementing customer chat boxes powered by AI and NLP, responsible for recent and specific information. One example of banking artificial intelligence is Santander that uses voice technology.

Royal Bank of Scotland uses artificial intelligence as well to fulfill customers’ needs. If an AI assistant can’t deal with the question, it sends it to a human employee. This is a huge opportunity to speed up customer interactions. An AI-driven assistant named Nina can perform 30 000 interactions per month.

There are many useful AI tools in the financial industry nowadays, such as Google’s Tensorflow. It allows making a prediction, dealing with a significant amount of information for a data-driven decision. Banks apply such technology as well to prevent cheating and eliminate possible risks. Moreover, artificial intelligence, together with machine learning creates innovative services to engage millennials and fulfill their needs.

AI in Healthcare

To make the healthcare treatment easier and more accessible for everyone, the scientists are creating smart artificial intelligence systems for a remote and advanced cure.

According to recent research, over 6 billion dollars will be investing in AI each year to refine healthcare. Artificial intelligence will perform diagnostics with the ability to remember a huge amount of data and analyze it. For instance, the oncologists apply Watson with AI-driven technology to sum up the facts from the electronic health record and recognize areas for improvement. Then, the physicians match the patient with the needed treatment.

AI systems allow the patients to gain feedback, support, and stay healthy. The scientists are creating new ways to apply AI and machine learning to assign chemotherapy medications. Artificial intelligence can suggest additional drugs based on the data like interacting genes.

AI in Retail and E-commerce

Partner and vice president at GoKart Labs Matt Johnson thinks that the potential for AI is huge to refine e-commerce and the retail sector. The most popular implementation is chatbots.

Many companies are already using this technology. For instance, Microsoft developed Bot Framework to help programmers make bots for their apps. It helps to accelerate the interaction between e-commerce and chatbots.

Customers prefer to get information while they’re shopping. Chatbots speedily provide product information and answer FAQs.

A chatbot is not only engaging with the ability to improve customer’s experience, it can significantly decrease the shopping time. When customer support managers are freed up, you get higher ROI and reduced costs.

Chatbots as well as apps become a helpful marketing tool supporting your client’s experience. Experts believe that if commerce companies don’t apply chatbots, the customers will move elsewhere. Brands also create robots with answer decision trees that smooth out products-and-services pipelines.