Deep Learning And Neural Network

Deep Learning And Neural Network consulting

BitsByteSoft applies Deep Learning And Neural Network technological expertise in Machine Learning Ai and artificial intelligence development services to help clients deliver personalization and customer convenience at scale. Our R&D capabilities and artificial intelligence software development for rapid prototyping and custom machine learning solutions empower clients to tap into unseen market segments, become more efficient, and achieve measurable business outcomes. BitsByteSoft strives to delight customers and augment businesses by delivering AI software solutions and machine learning development services.

Consulting

BitsByteSoft machine learning consultants provide strategic guidance throughout ML development projects. Starting with goal-setting and analysis of your business processes and data sources, we offer scenarios for business process optimization with machine learning algorithms, define the expected results, select technologies, and outline the development scope.

Modeling

Depending on the available data and outlined business goals, we offer optimal ML modeling algorithms. To prepare rich and healthy data sets for effective modeling, we handle all data-related processes, including data collection, cleansing, and structuring. We use ready-made ML models as well as build custom ones, assessing their effectiveness so that trained data fulfill its business tasks correctly and stably.

Implementation

We shape ML models into fully functioning AI solutions or integrate them into enterprise software to augment its capabilities. Our ML experts ensure that machine learning solutions operate smoothly within software ecosystems and perform properly without jeopardizing the integrity and operation of deployed systems.

ML model development

As part of machine learning services, BitsByteSoft builds, trains, validates, and deploys tailored ML models that discover patterns and learn from the provided datasets and historical data. Our team delivers custom models that become the basis of intelligent business solutions adjusted to your specific requirements.

Building

BitsByteSoft enriches ready-made ML models with custom data pre-processing scripts for vectorizing data, removing outliers and correlations. Uploading the prepared dataset, we configure ML models in line with your objectives.

Training

BitsByteSoft runs training algorithms that find dependencies across disparate datasets, including structured and unstructured, human-generated and system-provided data.

Tuning

Our engineers evaluate the results generated by ML models and fine-tune their parameters continuously until the results become acceptable.

Deployment

Our team wraps the ML model source code into a separate container, publishing it to the required platform, so you can start getting benefits from freshly generated data.

Data mining

At BitsByteSoft, we develop custom algorithms to accumulate, structure and sort out large sets of raw data to trace insightful patterns that can be further used in data-driven research, forecasting, and decision-making.

Natural language processing

BitsByteSoft machine learning experts build applications to decipher, interpret, and extract value from unstructured written and oral natural language. We also help companies across various industries to leverage the NLP outcomes in their daily workflows.

Computer vision

Our machine learning consulting company implements image processing and ML algorithms to develop optical character, image and video recognition solutions that understand and predict visual input.

Robotic process automation

BitsByteSoft develops ML solutions that can assist or substitute employees in repetitive activities. These solutions help reduce the staff’s overall effort, minimize the risk of human errors, and make daily processes more productive.

Recommendation engines

Our team implements recommender systems based on collaborative filtering, user demographics and preferences. We utilize ready-to-use services like Strands, Azure Machine Learning, and Google Cloud, and build the solutions from scratch with Hadoop, Spark and Python deep learning libraries.

Machine learning consulting in the business context

Built at the intersection of data mining, reporting, visualization, recognition APIs, and advanced ML models, machine learning apps by BitsByteSoft provide you with a 360-degree view of your customer and business performance, while offering personalized recommendations and automating business processes.

Enterprise analytics

Stemming from data science, our solutions are designed to single out valuable insights into enterprise performance and risks. With this information, decision-makers can have a clear understanding of market conditions, industry trends, and customer behavior, as well as take well-grounded steps to develop their enterprises further.

Smart customer insights

We introduce intelligent assistants and recommendation engines as part of CX initiatives, to help companies increase their service personalization and win their customers’ loyalty. Our applications cover the entire continuum of business-to-customer relationships and analyze volumes of data for vital knowledge about customers.

Intelligent business automation

We apply our industry expertise to help enterprises adopt machine learning solutions as part of their business automation programs. Our systems foster enterprise processes at different levels, from sophisticated business planning and strategizing to commonplace emailing and surveying, all based on finely tuned ML models.

Python

Python is our top choice for versatile machine learning projects owing to its flexibility and stability. With a plethora of ready-to-use frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn and Pandas, there are almost no ML tasks impossible in Python.

R

R is part of our ML technology stack that allows us to excel in complex data analysis and visualization projects. With a multitude of available packages, R is our must-have tool for statistical modeling, plotting, and data exploration.

C++

We rely on C++ when it comes to creating highly performing machine learning models from scratch. The power of C++ is exactly what we use to deliver custom ML solutions with sophisticated features, particularly in areas requiring processing of audio, video and images.

Java

Java is our programming language of choice for handling data science and deep learning challenges and preparing data for ML modeling. We include Java in our toolkit to deal with all types of neural networks and apply open-source ML frameworks efficiently.

AI development services across various industries

AI development services are mainstream. Most companies across industries are striving to adopt open-source and commercially available AI and machine learning solutions. Still, the market demands custom AI solutions for narrow needs. Adoption of AI development services goes hand in hand with the adoption of other technologies.

Integration of custom machine learning development and artificial intelligence software development with IoT and edge computing is expected to bring new possibilities for global businesses. Despite fears of AI stealing today’s jobs, people and machines should work together as a team to unleash the full potential of this technology. The AI augmentation of human engineering capabilities is expected to be key to the success of AI-integrated solutions.

Most common AI development services you can get

When integrating machine learning and AI software solutions into business needs, you have to clearly define the deliverables you’ll get at each stage. Early adopters of AI development services may benefit from labeled data sets for evaluation and training of machine learning models, advanced analytics for data-driven predictions, and automation of routine tasks.

Moving forward, AI adopters can integrate already designed and trained neural networks into their machine learning solutions to increase efficiency at a lower cost. Another scenario is to introduce computer vision technology to recognize critical objects from video or another multimedia data source. When finalizing your AI implementation, you should approach a mix of machine learning solutions and models and integrate tools to visualize business outcomes.

Business outcomes of AI software solution adoption

After implementing AI and machine learning development services to optimize defined business functions, you may need to evaluate the benefits that AI software solutions bring. Some benefits will be common for all companies, such as automation of routine tasks, enhanced analytics, and increased efficiency thanks to better processing of large data volumes.

Other business outcomes may differ across industries. Retail companies may expect an increase in sales and reduced customer churn due to improved targeting of customers’ needs and tapping into new market segments. The automotive and urban mobility sectors will win from autonomous vehicles, financial services will gain improved security and fraud detection, and healthcare will benefit from automated medical diagnoses.