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

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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.

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RELATED POSTS
Why a GRC Software Solution Is Vital For Your Business
As we see from the 2019 Cost of a Data Breach Report, more than 500 companies around the world suffered a breach over the past year. Organizations are now creating an urgent demand for reliable, feature-rich, and trusted solutions that meet the GRC (governance, risk, and compliance) regulations, forecast risks, identify problems and mitigate them before they happen.The report data is based on hundreds of cost factors, including legal, regulatory, and technical procedures to the loss of brand equity, customers, and human productivity. The highlights from this year’s report include:For the last nine years, the healthcare industry suffered the highest cost of a breach—almost $6.5 million on average (60% more than other sectors in the survey). Over 50% of data breaches were caused by malicious cyberattacks and cost $1 million more on average than those that resulted from accidental causes. Big breaches of more than 1 million data records cost companies approximately $42 million in losses, and breaches of 50 million data records can cost companies $388 million. Companies that have an incident response team have reduced those costs to $1.23 million on average. The average price of a breach in the US is $8.19 million, more than double the worldwide average.Another report from IBM Security and Ponemon Institute examined the financial consequences of a data breach and how companies can reduce the impact.An effective GRC platform helps companies to identify the risks before they occur, centralize the entire program in one place, and integrate risk management across all business procedures.
#FinTech #Machine Learning #Article
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