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Noktaları Birleştirme

Machine Learning 
Consulting

Realize unprecedented insights

 

Machine learning consulting helps companies deploy ML algorithms trained with corporate data to automate and optimize various business processes.

 

With solid expertise in the ML domain, DataLabTech helps enterprises personalize recommendations for customers, detect fraud, predict churn, and more.

 

We work with you to understand the skills and experience of your teams, in order for them to successfully carry on the long-term management of the AI solution. If you don't have an inhouse data science team, we also provide managed services.

Healthcare

ML consulting services to help its clients incorporate insights derived out of voluminous data into healthcare practice to achieve better medical outcomes, improve patient satisfaction, reduce operating costs, and minimize fraud.

  • Automated diagnosis

  • Early disease detection

  • At-risk patients and patient deterioration detection

  • Personalized treatment recommendations

  • Fraud, waste, and abuse detection

  • AI-based medical assistants

Retail and ecommerce

We offer ML consulting services to help retail organizations create a customer-centric experience for digital and physical sales channels. 

  • Product recommendation personalization

  • Dynamic pricing optimization

  • Chatbots and digital shopping assistants

  • Customer journey modeling

  • Demand forecasting and predictive inventory planning

  • AR-enhanced customer experiences

Manufacturing

We deploy ML solutions for manufacturing to help enterprises estimate optimal intervals for maintenance scheduling, better manage fluctuations in demand and supply and timely address anomalies in production processes.

  • Equipment failure predictions

  • Intelligent process automation

  • Digital twins

  • Automated product inspection and quality control

  • Energy consumption forecasting

  • Supply and demand forecasting

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Education

helps educational institutions embrace ML capabilities to transform the sector and increase the engagement of students as well as the efficiency of all parties involved.

  • Adaptive learning

  • Intelligent tutoring systems

  • Administrative tasks automation

Banking

Financial institutes with ML services to help them attract more customers, minimize risks with trustworthy credit scores, identify new liquidity opportunities, etc.

  • Fraud detection

  • Credit scoring for loan/credit card approval

  • Algorithmic trading

  • Active portfolio and wealth management

  • Dynamic customer segmentation and product recommendations

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Real Estate

Helps companies in the real estate domain apply ML algorithms to detect shifting market trends, predict the price of properties in relation to market offerings, find the best options for investments, and deliver superior customer experience.

  • Home search and recommendations

  • Virtual tours

  • Property performance and market value prediction

  • Automated property management

  • ML-powered lead generation

Logistics

DataLabTech offer ML consulting services to help its clients achieve complete supply chain transparency and handle any issue, be it vehicle breakdown, a sudden drop in demand, or shipping delays, in a timely manner.

  • Vehicle and equipment breakdowns prediction

  • Dynamic route optimization

  • Estimated time of arrival (ETA) prediction

  • Supply and demand balancing

  • Warehouse layout/space planning

  • Warehouse workloads prediction

Agriculture

We help agricultural organizations adopt ML technology to enable the security of remote facilities, better yields, pesticide effectiveness, and more.

  • Yield mapping and estimation

  • Disease detection and treatment recommendations

  • Classification of plant species

  • Crop quality detection and classification

  • Accurate prediction of farming parameters

  • Identification of agricultural soil properties.

Machine Learning Expertise

Özet satırları

Data Mining

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We develop custom algorithms that look for hidden patterns and trends in huge data sets, helping you solve business problems.

  • Discovery of purchase trends

  • Identification of at-risk customers

  • Market risks estimation

  • Upselling and cross-selling product recommendations

  • Treatment recommendations

  • Fraud identification

  • Wear and tear of production assets prediction

Our Apporoach to ML Project

Noktaları Birleştirme

Business Analysis

Our ML consultants start with a careful analysis of your business needs as well as existing tech infrastructure and data sources to define the scope of the project (including objectives, deliverables and timeframes).

Solution Design

Based on the findings from the previous step, we design the architecture of the solution, outline the optimal ML methodology and recommend a technology stack. To ensure the feasibility and economic viability of the solution as well as outline possible limitations, we deliver a PoC at this stage.

Data Preparation

After the exploratory data source analysis, our machine-learning experts cleanse, annotate and transform data for ML training and testing and define the ML model evaluation criteria.

Training

To meet set business objectives, our machine learning engineers provide ML algorithms with the prepared training data to learn from using both supervised and unsupervised machine learning techniques.

Integration and Deployment

Our team wraps the ML model source code into a separate container, integrates it into the solution, and publishes it to the production infrastructure, so you can start getting benefits from freshly generated data.

Support

We continue monitoring and enhancing the solution by releasing new features, adding new data sets, or implementing new features.

The Scope of Our
Machine Leraning Consulting Services

Advisory

DataLabTech's machine learning consultants provide strategic guidance throughout end-to-end ML development projects:

  • Analysis of your business processes and data sources as well as setting project goals

  • Business process optimization roadmapping

  • Tech stack selection

  • Project scope planning

Modeling

Depending on the available data and outlined business goals, our machine learning engineers

  • Offer optimal ML modeling algorithms

  • Handle all data-related processes (data collection, processing, and structuring).

  • Build and train ML models until the results are acceptable

  • Define mechanisms for assessing the quality of the delivered solution

Implementation

To ensure the smooth operation of machine learning models without jeopardizing their integrity and results, our machine learning consultants:

  • Shape ML models into fully functioning AI solutions

  • Integrate ML models into enterprise software to augment its capabilities

Support

If your existing solution fails to fulfill set objectives or you need to upgrade it to align with new business objectives, our consultants will:

  • Assess ML technology maturity and analyze ML solution gaps

  • Outline possible optimization scenarios and their implementation

  • Perform troubleshooting and upgrades

Provide ML solution administration support

Yüzük ve Küre
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Machine Learning
Technologies We Use

Our machine learning engineers have hands-on experience with major programming languages, ML libraries and frameworks, and ready-to-use third-party services to build tailored ML solutions as well as improve the performance, prediction accuracy, and resource optimization of the existing ones.

FAQ From Clients

What engagement models do you offer?

For machine learning projects, we usually offer the following engagement models:

  • Our selected ML specialists possessing needed expertise will join your in-house IT team

  • A dedicated team will handle everything from business needs analysis to product development, implementation and post-launch support

What We Do

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We help guide you through the art of what's possible in AI and Machine Learning from a decade of knowledge and proven experience.

We design and build innovative and custom Machine Learning algorithms that create a competitive edge.

We adopt an efficient and tailored approach to solving automation, insights and prediction needs for your business.

We deliver scalable and flexible Machine Learning models that not only deliver value to your business but can grow with you as your AI needs change.

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