Your trusted AI development partner

Machine learning

Machine learning allows computers to determine rules on how data changes without explicitly programming those rules:

• study available data and analyze clients’ behaviors to discover patterns
• make predictions and decisions based on historical records
• discover similarities or anomalies in data

Predictive analytics

Predictive analytics provides assessment on future trends. Using the available historical data, it:

• reduces churn by identifying the clients who want to leave
• increases sales by suggesting what the client wants to buy and determines
• how much they will buy
• identifies employees who are likely to leave the company
• predicts demand for resources, product, and inventory
• identifies the risk of breakdowns, failures, malfunctions, and errors

Recommendation engines

Recommendation engines can be utilized in a variety of areas, including movies, music, books or other products. These engines will:

• personalize offers basing on client’s earlier choices and reviews
• suggest other videos, songs, books etc. that the client will like
• increase conversion rate
• improve customer experience
• increase retention and loyalty

Natural language processing

NLP lets companies better use language data thanks to effective processing of large amounts of voice or text messages. Natural language processing:

• extracts specific data from long texts (e.g. articles, books, bills)
• automatically processes invoices, orders, contracts
• identifies the writer’s emotions and recognizes hate speech
• improves customer experience with chatbots and virtual assistants​

While it’s a fact that AI has various use cases among different industries and brings tangible results, it’s also difficult to immediately decide how to use it. With Deep Learning, Machine Learning, Natural Language Processing, smart search engines or predictive models supporting the decision-making processes, AI can transform your business but before you implement AI in your company, you need to be well-prepared.

At Neoteric, we support our clients not only with code but also with our business expertise. You will get algorithms that will work for you. Work not only technically – also bring benefits. That’s why we came up with the idea of Neoteric AI Sprint – your first step towards successful AI implementation. It’s a combination of workshops and proof-of-concept to help you verify the feasibility of AI implementation in your company using real business case and real data.

The goal of the AI Sprint is to prove to you or your executives that AI can enhance parts of your business, all that in a very limited time. The Neoteric AI Sprint consists of 2-day workshops with our team, and a Proof of Concept to verify the viability of given AI solutions in your organization. At the end, you’ll be sure what AI solutions will help your business and how. The results of the AI Sprint include the PoC, a detailed AI Sprint report, data strategy, and recommendations for full AI adoption.

How it works

You may not be sure how to use AI to take the biggest advantage of it – this is the time when we will help you find the exact area to which AI will bring the best benefits, and answer all of your questions. As a part of the workshops, we map out a chosen process in your company and we point out the important decisions made within such a process. The next step is to identify important information on the basis of which these decisions are made and to select several predictive models that will predict future values of data essential for the decisions. Finally, we identify the availability of the needed data, as well as the time and costs necessary to obtain the missing information. This helps us choose the model that will bring your company the best possible benefits with the minimum amount of work on your side.

What’s in it for you?

Neoteric AI Sprint is a small step towards successful AI implementation, not a leap into the unknown. The workshops help you understand the potential of predictive models for your business, see the value of data, and plan out the improvement of processes within your company with minimal risk due to extremely short development time and minimal investment The PoC will show you real results and give you a taste of the benefits full AI implementation brings.

During Neoteric AI Sprint, we will be creating a model that gives us a quick win. In order to choose what that quick win is, we need to have clearly defined business goals that we will be measuring periodically.

Before we begin the workshops, you can prepare the answers to questions regarding your goals, context for the model, data, and your expectations towards the model. Here are some of the questions you’ll be asked:

• What is the one most important thing we should do in your company?
• What is your goal and how can it be measured?
• What is the budget for your project?
• What information do you need to make good decisions within a process?
• What data about your customers do you collect?
• How will the model’s predictions be used in your everyday work?