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Artificial Intelligence Consulting

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Artificial Intelligence

Artificial Intelligence Consulting Services
You can take advantage of data science, machine learning and artificial intelligence tools to make better decisions in your business.
Build AI-driven products, services.

Our AI Consulting services help you adapt and scale AI and create market-leading AI solutions for tangible improvements across the business value chain.

Creating Strategic Business Value with Artificial Intelligence Consulting Services

By incorporating AI into every aspect of your business, you can automate digital experiences, shape the future, persuade people better and motivate them to do better, and generate strategic business value.

AI’s expert AI consultants help you develop AI solutions that leverage critical AI techniques such as natural language processing, self-learning algorithms, computer vision, and more to create custom customer experiences that appeal to a variety of use cases. We help companies solve complex business problems by applying AI to various use cases and customer behavior patterns. Our AI consultants design, mentor and consult each AI solution after thoroughly analyzing your business needs.

Data is at the heart of artificial intelligence. At AI, we leverage your data to generate the critical logic that fuels ML models. Our expert engineers create comprehensive AI logic designed to help you achieve your business goals and drive AI through data.

Our NLP (Natural Language Processing) Solution that produces solutions for the shipping industry from real-time Facebook and Whatsapp data
Performance measurements in the light of data

400+ shipping messages 1,600,000+ processed load messages
35 Facebook Groups
25 Whatsapp Groups
250.000+ API requests

Transaction lines with AI

Insights from machine learning models are only as good as the data that goes into them. That’s why AI tech and domain experts help you leverage data to reach actionable insights that benefit the entire business value chain.

Our industry-validated ML pipelines consist of a set of ML models that work in an orchestrated fashion. The output of one model is connected to the input of the next model until the target is reached. Intermediate operations are performed between models, which are regulated with the help of powerful tools such as Hadoop, Flint, and Spark.

YZA’s expert data engineers build on this concept to create customized pipelines based on your project’s needs and requirements. We integrate CI/CD processes into your ML pipelines, in line with our rapid software releases policies. This is to automate everything possible, from infrastructure to processes and workflows.

Data Science: Building Models That Represent and Predict the Truth
From retrieving data to creating visualizations and everything in between, AI’s Data Science experts create algorithms to help you solve data pipeline challenges. Our experts take the steps to prepare, clean, and analyze the data, considering the final machine learning model that will be deployed as part of the machine learning pipeline.

As part of this, we write code to generate and select features that will play an important role in the ML model. To increase the speed of the model, we do dimensionality reduction to balance the number of features with the size of the dataset. Vectorization plays an important role in this process. By converting text/image/audio/video to vectors, we can fine-tune previously selected features. This is linked to hypothesis testing, a robust statistical technique where we test the validity of hypotheses and see what hypotheses can be included in the ML pipeline.

AI experts can develop customized software roadmaps to help you succeed in your AI projects.

Creating Datasets for Machine Learning Models
Standard ML models depend on two datasets, a dataset for training and a dataset for testing. But that means there is a risk of creating an ML model that performs well on the training data but then fails miserably on the test data.

So in AI we use two more datasets to build a more robust ML model that will perform well on the test dataset. These two additional datasets are the Validation and Adjustment Datasets.

Model Production and Training
When creating ML models, we follow a defined set of steps to create a model that is as accurate as possible.

Our models are built and trained by experts with years of industry experience. We build these customized machine learning models for you after doing an in-depth analysis of your project needs and meticulously following the machine learning pipeline’s requirements. This ensures you have a cutting-edge software solution that puts you ahead of the competition and keeps you out there.

Gain the Advantage of AI with Our Artificial Intelligence Consulting Services
We are a software development and consulting company that creates superior software solutions. In AI, the brightest minds in the industry put intelligence into software products by creating validated ML models. We help you ensure your customized smart product is at the forefront of technology and adds tangible value to your business. We help you fine-tune business processes and optimize business operations while building industry-leading AI applications. We believe in technical excellence, which is why innovation in AI development is taken very seriously in AI. We help you leverage AI and related data analysis techniques to turn intelligence into software. AI-powered software products created with AI technology from YZA are guaranteed to put you ahead of the competition and keep you there.

Personalized AI Software Development Consulting
Our technology and domain experts conduct personalized consulting workshops to gain an in-depth understanding of your business and technology needs. Based on this, we help you define goals and create a roadmap for your AI journey. An outline of the entire project, including the roadmap, delivery schedule of each module, and prototype plans is charted with selected features and functionality to be included.

Personalized AI Software Development Consulting
Our technology and domain experts conduct personalized consulting workshops to gain an in-depth understanding of your business and technology needs. Based on this, we help you define goals and create a roadmap for your AI journey. An outline of the entire project, including the roadmap, delivery schedule of each module, and prototype plans is charted with selected features and functionality to be included.
Cross Platform Integration
We integrate your AI-focused solutions across your existing systems and platforms. This means a synchronized operational flow that saves time and increases efficiency. Our experts ensure that your existing systems and processes are minimally disrupted while the integration takes place. AI’s solutions go straight into the mix and become part of your daily operational routine.
Make sure you can explain the mechanisms of how a machine learning model or neural network achieves a particular result to senior stakeholders and regulators. Do this with decision trees, random forests, and other techniques implemented by our engineers. We leverage advanced notebooks (like Jupyter) and version control systems to get a series of steps on how to arrive at an insight.
Efficiently automate workflows so data scientists can build and test the model and deploy it directly to an ML pipeline. Open bottlenecks and push machine learning workflows into production by reducing friction between data science and operations teams. Let data scientists quickly discover and apply new ideas about feature engineering, hyperparameter tuning, and model architecture to build, test, and rapidly deploy new components in a CI/CD pipeline.
All of our solutions are developed with extremely secure development practices in mind, exceeding normal industry standards. Because our ML models look for generalized data, we do not use Personally Identifiable Information (PII) in any dataset. We anonymize data using data mixing tools. Our experts implement IP protection mechanisms, use active checklists, and provide selective role-based access to aggregated data.
Automation Priority Approach to Artificial Intelligence Use Cases
We believe in automating everything from infrastructure to processes and operations. That’s why we use industry-approved, proven approaches to ML that can be modified as needed to suit your specific business situation. This provides efficiency, reduces manual effort, controls costs and speeds time to market.
Customized Customer Experience
When creating products, we put the user at the center of all product development needs. With AI-driven user behavior prediction, CX is customized to the needs of the end user. Making this even more powerful is a beautiful, feedback-rich, intuitive user interface that helps users achieve goals with as few clicks as possible.
Result-oriented Product DNA
We develop superior, AI-enabled software products. Our expert engineers leverage technical thinking keeping the big picture and business goals in mind. YZA’s management teams put the end user at the center of product development while developing customized approaches to software creation. At the heart of our software products is a metrics-driven approach that focuses on results and the value they deliver.
Lean Thinking and Agile Processes
We optimize resources for all software product development activities so you get the maximum return on investment. That’s why we follow transparent agile development processes where we can release software faster while maintaining a focus on premium development, testing, collaboration and stakeholder visibility.


Our opinions
Discover the latest thinking and industry insights on AI, compiled by experts.

You can contact us via our contact form and request us to offer our Artificial Intelligence solutions for your company and products.
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