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The Best AI Solutions For Data Analysis

Data Analysis

Artificial intelligence (AI) has greatly transformed the business landscape. What began as rule-based automation is currently able to imitate human interaction. Experts at BedRock IT notice that it’s not only the human-like abilities which make AI unique, but advanced artificial intelligence algorithms deliver much better reliability and speed, at a much lower price compared to its human counterparts. Some entrepreneurs are still sceptical about AI and its potential. As the AI solutions multiply, however, it’s time that they learn how to work with AI and fully embrace this powerful technology.

Most companies are joining artificial intelligence pioneers like Amazon and Google to implement AI solutions for their businesses. The more data there’s to process, the more data the system gets, the more it analyses and finally the more precise it becomes. Google’s AI platform is now able to learn without the support of humans.

Here are some examples of AI solutions for data analysis:

Amazon machine learning

It helps use gigabytes of data for bettering the quality of decisions. Picture you have to analyse all the details about website navigation trails, email responses, customer purchase, etc. Only an experienced data scientist can analyse this information properly…or such an example of artificial intelligence solution as Amazon AWS Machine Learning. Amazon Machine Learning is a service which makes predictions based on the models created from your data. This will help you not only to collect statistics but will also be good for enhancing the quality of decisions that you make and developing a storage infrastructure for your company.

Expert personal shopper by Fluid

Fluid, a software solutions provider and digital commerce technology agency, has made shopping with The North Face more effortless by creating Expert Personal Shopper (XPS). Fluid’s workforce has developed an AI digital commerce platform which helps shoppers make decisions using a dialogue-based approach. XPS asks some answers and then interprets them with IBM Watson abilities to use logical reasoning. AI analyses all answers and gives buyers content and product recommendations. This is similar to receiving recommendations from a professional shopping assistant in an actual shop.

Customer support

Another area where AI technologies while running a business is the customer support. Such artificial intelligence solutions can collect information, give answers, assist in selecting products, etc. This type of AI might also be referred to as chatbots since they help shoppers by simply chatting with them. Chatbot services are important development areas for such giant organisations as WeChat, Microsoft, Facebook, Kik, and Google. Chatbots will take the place of popular interfaces on all devices. Below are a number of reasons for that.

Let shoppers get quick answers

If your website has a contact form, you understand how many issues are associated with it. Your team is certainly fighting for higher conversion rates, generating a more intelligence and easier contact form. But they do not work correctly always. Since chatbots are a new innovation, virtually all customers prefer them. Customers will visit your website, start to interact with a chatbot, followed by sharing their contact information.

Change the buying experience

Customers want the interaction to be more life-like and less text-based. Using appealing emojis, images, and language, chatbots will help customers make their viewpoint on an organisation more welcoming. This personalised marketing will boost your relationships with customers. It will also give sales departments information that will help make campaigns much more effective.

Make your company more competitive

With chatbots other than artificial intelligence, SMEs access such resources as video conferencing, cloud computing, big data analytics, etc. Apart from that, businesses might come up with new assistant roles and free up some staff. When chatbots do some tasks, your staff may on something else. This will also speed up the growth rates of a business, making financial management simpler.

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Danny is an expert in all things Cloud, Disaster Recovery and Information Security.