Data Science enables the organization to identify patterns in large volumes of fast-moving structured and unstructured data. It helps the organization to gain decision-making capabilities, achieve their business outcomes and generate new revenue streams.
Data Science alone will not generate value for the business. The uncovered relationships need to be evolved and embedded in your products. Knoldus specializes in end to end process of commercializing data science that creates highly successful businesses.
The most important aspect of data science is the understanding of a domain. Our team of world-class data scientists, including PhDs in specific domains (Pharma, Healthcare, Chemical industries), can help you uncover hidden value in your data and key business drivers to help you achieve most out of the data you have. We offer complete data science services from building the roadmap, architect the process and technology and implement the architecture. With all these, we deliver the business value - increase revenue, maximize utility and reduce costs.
We adopt advanced Machine Learning and Artificial Intelligence solutions to enable a quantum leap in your automated operations, risk management, and personalized customer service
Collected data from various sources in a variety of formats, ranging from unstructured data to structured XML documents
This involves applying analytics techniques to identify key predictors and descriptors, which can then be used in an algorithm to identify leading trends.
Analyzed data can be transformed in accordance with business rules to discern correlations and generate possible resolutions.
Performing analysis of data leveraging different modeling techniques to answer business-critical challenges.
This process can be further extended through supporting to automate failure resolution proactively.
At Knoldus, we build and operate fast data using an emerging architecture "SMACK" stack (Spark, Mesosphere, Akka, Cassandra, and Kafka). This enables enterprises to easily access tremendous amounts of data - businesses extract value from data and build modern applications that serve customers with personalized services, in real time, and at scale.
Fast and general engine for distributed, large-scale data processing, machine learning, SQL, and graph computation
Cluster resource management system that provides efficient resource isolation for running data services and containerized microservices
A toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM
A distributed, highly available database designed to handle large amounts of data across multiple data centers
A distributed, highly available messaging system to ensure millions of events per second arecaptured through connected endpoints with no loss
Knoldus helps HPE not only build customer value, but also gain momentum for analytics transformation.
D&B handles almost 8x times the volume of alerts through rapid development and concise code offered with Scala.
Draw a line between Http/1.1 and Http/2 Client on 18th July, 2019 at 10:00 PM IST / 12:30 PM EDT Register here!