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Smart ERP Solutions
4683 Chabot Drive, Suite 380
Pleasanton CA, 94588

Big Data — Data Science/Artificial Intelligence/Machine Learninge

Data is ubiquitous. The information one can gather about a person, a thing or a system comes from data. In today’s world of constant information flow from all directions and sources, the amount of data has grown exponentially, hence the term Big Data. Broadly, Big Data comprises Machine Data, Transactional Data, Social Data and IoT data which comes in both structured and unstructured manners.  

Artificial intelligence (AI) is the intelligence exhibited by machines or software. Artificial Intelligence is here right now and will continue to evolve. There are many practical use cases for AI including: software that is capable of intelligent behavior and can sense what information is required to perform a certain role or task, supply chains that "think" in real time, and robots which respond to changes in the environment. A recent Accenture Research Study indicates that,

“AI has the potential to boost rates of profitability by an average of 38 percentage points and could lead to an economic boost of US$14 trillion in additional gross value added (GVA) by 2035.”

Thus, businesses that can harness AI capabilities can surge ahead of their competition. Those that neglect it may fall behind. Which side are you on?

At SmartERP, we have a dedicated team of Big Data professionals who can translate your business requirements and current data into quantifiable economic value, while providing suggestions for how to optimize it to achieve your long-term business goals and objectives.  By scientifically employing various techniques in statistics and time-series analysis, powered by customizable complex algorithms and standard machine learning tools, we can provide you the valuable insight, trends and patterns in the data you need to gain a true competitive advantage.  

our skills and experience

Our Offerings

  • Developing future-ready business applications including front end user interface
  • Combine AI and crowdsourced data to create innovative business opportunities
  • Enable usage of self-learning and self-governing machines, going beyond just automation, to create competitive advantage
  • Access to computational and storage infrastructure in the cloud
  • Tools required in machine learning and deep learning models including but not limited to data pre-processing
  • Extraction and cleaning up of huge datasets
  • Platform integration with database tools
  • Following agile methodology; Openness to learn and adapt with time and usage
  • Use of statistical methods to ensure the reliability of models

machine learning/AI


  • Clustering
  • Classification
  • SVM
  • LDA
  • Neural Networks
  • Generic Algorithms
  • Deep Learning


  • WEKA
  • RapidMiner
  • Clementine
  • Self-developed (by SmartERP)

Data storage


  • Relational Databases
  • No-SQL Storage Systems
  • RDF Storage Systems
  • XLM Databases


  • Elastic Search
  • Hadoop
  • Apache Spark
  • Mongo DB
  • Hive
  • MySQL
  • Oracle
  • Microsoft SQL Server

Programming Languages

Our Expertise

  • Python
  • R
  • Java
  • PHP

Other Big Data Tools/Technologies

  • SJS
  • ZooKeeper
  • Kafka
  • Scala
  • AWS
  • Block Chain Technology
  • Node+ES6