Today many businesses rely on Machine Learning to derive patterns from data, predicting customer behavior, taking decisions and performing actions without human interventions. Wyztech Artificial Intelligence (AI) and Machine Learning (ML) services helps organizations to develop custom solutions based on proprietary or open source algorithms/frameworks that process data and run sophisticated algorithms on Cloud and Edge. This enables faster decision making, increased productivity, business process automation, and faster anomaly detection.

  • Model Building, training & Validation
  • Model Optimization
  • Model Deployment & Inference Porting
  • Model Testing

Our team can create a Machine Learning Model based on your business requirements. We can build and train models using supervised (classification & regression-based), unsupervised (clustering & association based) and reinforcement (reaction to an environment based) learning. We also provide on-device inference using TensorFlow Lite model. To test the performance of Machine Learning models, we use Cross Validation, RSS, RSME, MSE, Log-loss, F-measure, Precision-Recall, etc. to ensure the best performance of models.

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Machine Learning Process

Industries using AI/ML

Many industries working with large amounts of data have recognized the value of Machine Learning technology. By collecting insights from this data, organizations are able to work more efficiently and gain an advantage over competitors.

AI/ML Technology Expertise

Data Source

Audio, Video, Social Media, RAW, TXT, XLS, etc.

Frameworks

Spark MLlib, TensorFlow (NumPy, SciPy, Caffe, Keras), Scikit-learn, Theano, Torch, OpenCV, Pandas,

Languages

Scala, Python, R, Java, JavaScript

Tools

Octave, Anaconda, TensorBoard, What-If, ML Perf, TensorFlow Playground

Platforms

Google Cloud Vision, Amazon, Azure

Database

MongoDB, CouchDB, Cassandra, Microsoft SQL Server, HBase, Oracle

Wyztech Data Engineering Services

Our Data Engineering team helps you leverage comprehensive and powerful data processing tools and technologies to analyze unstructured and complex data sources.

Data Modeling & Consultation

Our Data Engineers have experience in processing data which may be structured, unstructured, semi-structured or stored as RDBMS or Big Data, distributed file systems (HDFS), flat files (text, csv, json, logs), emails, websites & web APIs.

ETL Processing

Expertise to process any data and perform data cleansing, data profiling, normalization, text mining, data extraction, data transformation, load data to data warehouses, and more.

Data Pipeline

Our expertise in building ETL (extract, transform, load) pipelines to process data in real time leads to reliable data processing.

Data Migration & Integration

Based on our experience in handling data from any kind of data source, no matter how large, we can migrate and integrate it smoothly, without any negative business impact for customers.

Continuous Integration & Deployment

Our Data Engineering team has the expertise to deploy models that can not only predict and provide useful information but can also be updated in real-time with a change in data trends as and when required.

Support & Maintenance

We provide support and maintenance for the complete ETL processing setup to ensure that data is never lost with a change in data trends.

Our Data Engineering Expertise

Structured

  • SAP HANA
  • Neo4j
  • MongoDB
  • Spreadsheets
  • SQL databases
  • NoSQL databases

Semi Structured

  • Time series
  • Stock price data every day/hour/month
  • Population data every Year
  • Web APIs
  • Email
  • Sensor data

Unstructured

  • Websites
  • Text & Images
  • Audios & Videos
  • Social Networks
  • Log files

Data Engineering Tools & Technology Capabilities