Data science services encompass a range of offerings to help organizations leverage
data for better decision-making, efficiency, and innovation.
* Data Visualization : Data visualization services to help organizations present data in a graphical format
to make trends, patterns, and outliers more understandable. These services
typically involve, Consultation and Strategy , Tools and Software , Data
Preparation , Design and Development , Analysis and Reporting , Training and
Support ect.
* Machine Learning : Machine Learning (ML) services to are platforms that provide tools, infrastructure, and
frameworks to build, deploy, and manage machine learning models. These services
allow users, even those with minimal ML expertise, to train models, run
predictions, and integrate machine learning into their applications or workflows
without needing to set up the entire infrastructure.
* Business Intelligence : Business Intelligence (BI) services involve the use of data analysis,
reporting, and visualization tools to help organizations make data-driven
decisions. BI services typically encompass data collection, processing, and
analysis to provide insights into business performance, market trends, customer
behaviors, and other key metrics
* IOT & AI : The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologies
that can be used together to create intelligent systems that can improve
efficiency and decision-making.
IoT:
A network of devices and objects with sensors, software, and connectivity that
can collect and exchange data. AI: Computer systems
that can learn and make decisions based on data, mimicking human intelligence
* Cloud Computing :
access and use computing resources (such as servers, storage, databases, networking,
software, and analytics) over the internet, often referred to as "the
cloud." This model offers flexibility, scalability, and efficiency
compared to traditional on-premises computing by providing resources on-demand
and often billed on a pay-as-you-go basis.