Data science and artificial intelligence
as integral parts of software evolution

Data Science (DS) and Artificial Intelligence (AI) are used to enhance the capabilities of business-driven
software.

Data scientists and engineers at our company use their expertise to build models that collect data and
generate actionable insights for your business. We help solve the toughest data challenges to improve
operational intelligence, enhance product quality, and increase business efficiency.

DELIVERING VALUE THROUGH ADVANCED DS/AI TECHNOLOGY

Serhii Maksymenko, Data Science Solution Architect

Serhii Maksymenko

Data Science Solution Architect

“Data science services isn’t rocket science if we have data and a clear picture of the problem we are trying to solve. Our data science team can create a machine learning model, train complex deep neural networks, or apply a computer vision algorithm in order to achieve a well-defined business goal.

This covers a wide range of AI solutions starting from demand prediction for supply chain management, enhancing industrial processes to in-store customer behavior analysis and multi-modal biometric identification.”

Alexander Solonskii, Data Science Solution Architect

Alexander Solonskii

Data Science Solution Architect

“We provide consulting to companies, from startups to large enterprises, that shows them how to aggregate data and set a proper business vision to allow them to achieve a competitive advantage.

Over the years, we’ve learned that the size of the company doesn’t matter — because all business owners face the same challenges when planning and implementing new data initiatives. There are many cases where there's not enough data, or the quality of it is poor. But businesses can still benefit from applying Data Science."

Data science project flow:
from consulting to deployment

Data Science project flow: from consulting to deployment
1

Data Science Consulting

This initial stage involves a brief exploration of the topic with our data science team. We’ll explore the data, ask the big questions, and establish any goals for the project. We’ll also take the time to help you understand what opportunities exist and the pitfalls of machine learning implementation.

What value do we provide at this stage? We’re hyper-focused on business goals and metrics. The initial working hypothesis is set, and everything we do is focused on those core assumptions. Our consultants will also work with you to help you understand how AI fits into your business niche and industry.

2

Data Analysis and Preparation

Once we’ve laid the framework, our data engineers will carefully examine the data sets you’ve provided to ensure they choose the right one. They’ll clean the data and engage in feature engineering to prepare a dataset for the future model. We combine classic Agile principles with the CRISP-DM model for data mining and analysis. A typical cycle focuses on one hypothesis to ensure the precision of tasks and results.

What value do we provide at this stage? The data for all of the additional steps will be prepared and ready for implementation. We’ll also assist you in setting an ongoing data collection process.

3

Modeling & Training

During this stage, the data science team will start to build and train models using prepared data to verify the hypothesis. The team will run several experiments to achieve a balance between accuracy and computer resource consumption. The goal of this stage is to get tangible results in the shortest period of time possible to prove the hypothesis.

What value do we provide at this stage? We’ll create a model with ballpark accuracy that can validate your ideas. The model will still need further refinement, but it’ll work.

4

Evaluation & Adjustments

After we’ve proven the hypothesis through raw modeling, our data engineers will continue to adjust and optimize the selected model. This stage will improve the overall accuracy and lower the amount of power and time it consumes.

What value do we provide at this stage? We’ll analyze metric values and model performance to establish a better understanding of how we can make further improvements.

5

Integration & Deployment

After verifying the model, we’ll deploy it on a test server where it can start to work with real data so we can monitor the results. If the model successfully achieves your business objectives in the test environment, we will deploy it in production.

What value do we provide at this stage? You will receive a fully-validated model that you can use to create your software product, complete with AI-features.

Industries that can benefit from
data science consulting

Data Science benefits for Retail industry

Retail

Personalized recommendations and predictive analytics that focus on enhancing the customer experience are only the tip of the iceberg. Data science is capable of giving 360-degree insights to improve merchandising, marketing, advertising, and supply chain management.

Data Science benefits for Finance industry

Finance

Data science can replace manual work, increase your productivity, and automate tedious tasks for financial organizations. ML-based predictive models use data from real-time market feeds, CRM databases, and social media to predict financial market events and help decision makers.

Data Science benefits for Healthcare industry

Healthcare

The healthcare industry is data-driven. From personalized treatments to preventive care, data science is already transforming the healthcare industry—helping patients and hospitals save money through actionable insights.

Data Science benefits for Manufacturing

Manufacturing

Sensor data analytics is only the first step in predictive maintenance. With the help of data science, operational intelligence solutions can highlight process disruptions during every stage of production and optimize the entire manufacturing process.

Data Science benefits for Energy and Utilities

Energy

A company must improve the efficiency and productivity of existing energy sources, predict accidents with complete accuracy, and avoid outages if they want to discover new ones. All this is possible with the help of data science.

Contact us to learn more about Data Science benefits for your company

Your industry

Practical applications of
data science

Case Study: Data Science for retail: building models to predict and facilitate sales

Weekly demand predictions to boost sales

The retail environment is competitive. ERP software leveraged AI to predict demand. The adaptive selective model they used analyzed 2.5 years of retail sales statistics.

Products categorization to apply targeted discounts

The data on the most and least profitable goods is used to create effective targeted discounts, increasing retail sales.

Personalized recommendation engine

The model offers relevant accompanying goods that customers tend to buy together with any selected product.

MobiDev Expertise In Data Science & Machine Learning Consulting Services

Data science & machine learning services: expertise presentation

MobiDev has been providing consulting and complex software development services for over 10 years. During this period, our teams have delivered more than 350 products to our clients and gained valuable technology expertise within innovative areas like data science.

We believe delivering value to the client is not only about certain technologies, but efficient processes as well.

This is a core belief that is part of all of our offerings. We set specific processes for each data science project we run. This is how we guarantee time to market and budget efficiency of our consulting and development services.

Want to learn more? Check out this presentation about MobiDev’s expertise, methodologies, and client-focused approach.

Download PDF: Data Science trends that fuel your business growth in 2020

Data science trends that fuel your business growth in 2020

Data science is always evolving. Successful companies must understand what trends exist today to better understand how to use innovative technologies in the future. We believe this is the only way to leverage AI trends effectively to create value for your business.

Are you curious about the future of data science trends in 2020?

MobiDev provides consulting on data science and machine learning methods that are focused on bridging the gap with connective technologies that solve real problems businesses are facing.

We’d like to share our expertise and insights into this field, and how these trends are changing across different verticals.

Check out our latest report.

MobiDev Expertise In Data Science & Machine Learning Consulting Services

Data science & machine learning consulting services: expertise presentation

MobiDev has been providing consulting and complex software development services for over 10 years. During this period, our teams have delivered more than 350 products to our clients and gained valuable technology expertise within innovative areas like data science.

We believe delivering value to the client is not only about certain technologies, but efficient processes as well.

This is a core belief that is part of all of our offerings. We set specific processes for each data science project we run. This is how we guarantee time to market and budget efficiency of our consulting and development services.

Want to learn more? Check out this presentation about MobiDev’s expertise, methodologies, and client-focused approach.

Download PDF: Data Science trends that fuel your business growth in 2020

Data science trends that fuel your business growth in 2020

Data science is always evolving. Successful companies must understand what trends exist today to better understand how to use innovative technologies in the future. We believe this is the only way to leverage AI trends effectively to create value for your business.

Are you curious about the future of data science trends in 2020?

MobiDev provides consulting on data science and machine learning methods that are focused on bridging the gap with connective technologies that solve real problems businesses are facing.

We’d like to share our expertise and insights into this field, and how these trends are changing across different verticals.

Check out our latest report.

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