ML & Data Science Consulting

Machine Learning, Artificial Intelligence, and Data Science Consulting to Enhance Your Solution

Incorporate data science solutions into your software to benefit from accurate predictions and make informed decisions on their basis. Benefit from our machine learning consulting to make your solution self-trained and adaptive to the changing environment. Ask for data science services if you’d like to disrupt your domain with high-tech software.

COMPANIES WE PARTNERED WITH
Captify
anyclip
ML & Data Science Services
Innovecs’ engineers are experienced in creating data science solutions for companies operating across different domains, such as ad tech, logistics, and healthcare. However, their vision is not limited to these realms. Our engineers start the project by investigating its goals and apply machine learning where appropriate.

PREDICTIVE ANALYTICS

Make informed decisions based on enhanced predictions

MACHINE LEARNING

Benefit from historical data, learn from it and forecast future trends

NATURAL LANGUAGE PROCESSING

Learn your solution for human-like interaction

DATA WRANGLING

Adapt your data for further analysis and modeling

DATA SCIENCE

Enhance your analysis with big data manipulations

PRIMARY TECHNOLOGIES WE USE
Java
Scala
python
hadoop
spark
apache ambari
TensorFlow
IBM Watson

LOOKING FOR A PARTNER IN BUILDING A DATA SCIENCE SOLUTION?

We are ready to discuss your project requirements. Just drop us a line.

INDUSTRIES THAT WILL BENEFIT FROM DATA SCIENCE CONSULTING

Data Science Services: Know Your Customer to Enhance Targeting

Optimize your digital marketing campaigns with the help of data science consulting.

Innovecs will help build a solution that improves customer targeting based on data analysis.

Backed by experience in machine learning consulting, Innovecs can deliver a solution that not only consolidates data from various sources but segments users, too. Based on this segmentation, advertising companies, supply- and demand-side platforms can make more accurate predictions of target audience behavior. As a result, this allows for revenue growth with lower advertising costs.

Data Science Solutions: Cut Your Logistics Costs with Better Predictions

Accuracy of predictions influences costs across different stages of supply chain and logistics.

For warehousing, you can reduce your stocks and increase inventory turnover by forecasting future demand trends.

For supply chains, you can optimize routing and deliveries by predicting what exact product, in what quantity, when, and where will be required.

Machine learning techniques will also optimize palletizing by combining not only similar products but packages of different sizes.

In the case of Innovecs, you will benefit from data science outsourcing because our expertise lies at the intersection of logistics and machine learning.

Machine Learning Consulting: Treat Your Patients Based on Grounded Data Analysis

Healthcare providers benefit from adapting first-class technologies in their daily work. Usage of algorithms based on machine learning is one of the modern approaches. Since patients are using wearables to collect their own vitals, the volume of data that can be utilized for estimations and predictions becomes enormous.

Data science solutions can enhance treatments or give alerts based on the current health state of a patient. Innovecs’ AI development team will help to create AI-driven assistants to support your patients. By outsourcing this to Innovecs, you will release a reliant software quicker than you will do it in-house.

RELATED POSTS
Intelligent Automation As A New Era Of RPA
I think intelligent automation can smooth certain tasks that in the past were impossible to be simplified, so not only will we have a much wealthier civilization, but the quality of work will go up very significantly and a higher fraction of people will have callings and careers relative to today. Jeff Bezos, founder of Amazon. Intelligent Automation as comprising technology in the field of RPA (Robotic Process Automation) and AI (Artificial Intelligence) is aimed at enabling business processes automation and digital transformation performance. According to the global Statista survey, 39% of respondents share the opinion that intelligent automation is implemented in their enterprises to streamline operational activities. And 32% more notice it is planned to launch RPA in a year. RPA worldwide revenue is growing constantly as it’s seen in the chart below.CMO of Softomotive, RPA solutions development company, Kyle Kim-Hays described the main 2020 trend of intelligent automation in such a way: “It’s specifically for 2020 that robotic process automation is moving from the field of back-office and IT-focused tasks and moved deeper into the production and day-to-day logistics and supply chain management operations”.  So, here we propose to outline the basics of the process intelligent automation, the main challenges of the industry now, to follow successful cases of RPA application in SCM and logistics as well as robotics technologies integration to enhance operational efficiency.
#Logistics #Big Data & Highload #Article
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