Impactful AI Solutions Aligned with SMART Goals

Artificial Intelligence (AI) is an area of computer science that focuses on the creation of intelligent machines which “think” and react like humans. The main goal of AI technology is to imitate the behavior of an intelligent human being.

Computers need to learn how to respond to particular actions with the use of algorithms and historical data. Then, artificial intelligence creates a propensity model which starts making predictions. 44% of organizations have reported cost savings as a result of AI implementation.

Take the time to understand what artificial intelligence is. Analyze what problems your company is facing, which could be solved with the help of AI technology. Use AI consulting services to analyze your ideas and choose the best AI solution to solve your problems Prepare your company details

Fraud The threat of cybercrime is becoming more and more dangerous every year as customers use digital transactions. It is an opportunity to steal their financial information as well as personal information. The more transactions are carried out on a daily basis, the more difficult it is for companies to ensure the security of every single transaction. AI solutions can help you solve this problem. Customer service Artificial Intelligence technology is widely used in customer support to offer customers the best service. Thanks to artificial intelligence, your company can be available to customers 24 hours a day, 7 days a week, without the need for human assistance. Customers have a better experience and your business saves valuable time. Personalized experience Personalized shopping is one of the most important aspects that increase customer loyalty. AI technology has found a solution to offer a personalized approach to customers who shop online. Product recommendation engines are one of the many AI-driven solutions that can help you retain customers and increase your revenue. Data analysis Today, companies collect more data about their customers than ever before. Unfortunately, it doesn’t make sense without data analysis. AI-based software can help your business process unstructured data and turn it into useful information about current trends, customer needs, etc.

Intelligent Process Automation A new emerging trend that will be a game-changer in the future is IPA (Intelligent Process Automation). What is this? IPA is a technology for automating business processes that enables the automation of individual tasks using artificial intelligence. This solution is a similar, more advanced version of RPA (Robotic Process Automation). Essentially, IPA will enable us to use more machine learning algorithms to sort data and implement AI technology to recognize valuable information. So IPA is definitely a topic that we will hear more about in the future.

There are numerous different programming languages that could be used to build AI solutions. The most popular ones are Python, Java, Prolog, C++, Lisp.

AI-driven prediction and decision making Given the economic situation that has changed so rapidly in the world as a result of the pandemic, entrepreneurs will be even more interested in AI-based forecasts and decision-making. It is safe to expect that the main areas that will particularly benefit from AI-driven business forecasting are sales departments, medical diagnostic applications, inventory optimization, and demand and workforce planning. With AI-driven tools, businesses can make effective decisions based on accurate, data-driven information. Entrepreneurs can better identify business opportunities and understand customer needs and behavioral patterns. AI-powered chatbots Chatbots are already a technologically advanced solution that most of us use or at least notice every day. Conversational AI (in other words, AI-based chatbots) will take the next step in the nearest future. What are the main advantages of AI chatbots? In short: personalized customer experience, better range, increased responsiveness, significant improvement in the automation of customer service. Conversational AI uses machine learning and NLP (Natural Language Processing) to: Understand what we (humans) are saying. Give us the support we need to communicate on a human level that feels almost natural.

If you don’t have your own team of AI experts, leave that to the specialists. AI consultants will integrate AI solutions with your internal systems and make sure everything works perfectly.

AI technology uses both structured and unstructured data. Artificial Intelligence database is a combination of data warehousing, advanced analytics, and visualizations in an in-memory database. AI databases have incredible abilities, they can ingest, explore, analyze, and visualize fast-moving, complex data at the same time within milliseconds. Connecting particular databases depends on particular situations – for more information contact an AI consultant.

The role of an AI consultant is complex. AI consulting includes many tasks faced by data scientists and more. AI consultants need to help in creating an overall system based on different requirements necessary for successful implementation. Moreover, they are responsible for managing AI-driven projects as well as are considered experts by DevOps teams who support them in capacity building making sure that internal resources are supporting code and artificial intelligence infrastructure.

Let’s take a look at different forms of AI systems. We can divide them into seven stages. Stage 1: Reactive machines This is the oldest form of artificial intelligence systems. It has very limited capabilities – one of the reasons for that is their lack of memory-based functionality. It means that they don’t have the ability to “learn” from their actions. Stage 2: Limited memory machines This AI system has the functionality of a reactive machine and additionally is able to learn from historical data. This way, it can make accurate decisions. Most existing AI applications known today are under this category. Stage 3: Theory of mind Theory of mind AI is a work in progress. Researchers are working on this next level of AI systems that will be able to truly understand human needs. How? Thanks to analyzing human needs, emotions, beliefs, and thought processes. Stage 4: Self-aware AI It is a stage of AI development that for now is only hypothetical. The main concept behind it is artificial intelligence that has evolved to be so similar to the human brain that it has developed self-awareness. Stage 5: Artificial narrow intelligence This type of AI represents all of the existing AI. Artificial narrow intelligence can only perform a specific task autonomously using human-like capabilities. These machines can do only what they are programmed to do. Stage 6: Artificial general intelligence This stage presents an ability of an AI to learn, perceive, understand, and function exactly like a human being. Once we reach this stage, we will be able to significantly cut down the time needed to train models. Stage 7: Artificial superintelligence That would be the peak of AI research. Artificial superintelligence would become the most capable form of intelligence on earth. It would not only replicate the intelligence of humans but it would be better at everything because of overwhelmingly greater memory, faster data processing and analysis, and decision-making capabilities. But so far, we have nothing to worry about. Artificial superintelligence is only an idea at this point.