Helping build advanced analytics platforms for solving complex
use cases using AI and Apache Spark technologies
By combining our experience and expertise, we have uniquely positioned ourselves to help
organizations harness their data and use it to identify new opportunities, make smarter business moves, create
more efficient operations, earn higher profits, and improve CSAT scores.
Leveraging our expertise in Big Data and allied technologies such as AI and APACHE Spark,
we can help you:
- Build an Apache Spark based Predictive Analytics tool
- Provide ongoing support for running and maintenance of an existing
Apache Spark Based Analytics engine
- Provide eMudhra's own Apache Spark based analytics engine - emStream -
to be used as a component in your overall Big Data strategy
- Provide an SLA based round-the-clock support that can be tailored to
customers unique needs
- And many more
Here Are Some of the Benefits of Partnering with Us:
eMudhra's talent pool comprise of some of the brightest minds when it comes to leveraging Artificial
Intelligence to build cutting edge Big Data platforms for your business use cases. Our resources have strong
expertise in Machine Learning, Natural Language Processing and Graph Analytics, along with extensive experience
in working with latest technologies such as Apache Spark, TensorFlow, Elasticsearch and Mongo DB.
eMudhra has strong expertise in Big Data technologies such as Apache Spark and Cloud-based analytics, which
leads to significant cost advantages when it comes to storing large amounts of data and the ability to process
large volume of data in real time for deriving quick actionable insights.
With the help of eMudhra's Gartner recognized Big Data analytics capabilities, businesses can get timely
insights to make decisions about fleeting opportunities, get precise answers for hard-to-solve problems and
uncover new growth opportunities - all while using IT resources more effectively.
Faster, Better Decision Making
eMudhra excels in using the speed of Hadoop and Spark technologies combined with in-memory analytics and the
ability to analyze new sources of data, to help businesses analyze information almost instantaneously - and
make decisions based on what they've learned.