AI and data science | Intelligent Automation
Intelligent Automation by leveraging AI and Data Science
Transformative experiences powering operational efficiencies and customer delight across industry segments such as manufacturing or distribution, retail or services, finance or insurance, are today powered by AI and Data Science at the core. Automation which is either human augmented or total is enabled by integrating digital workflows with AI.
The massive advances in distributed computing, cheaper ways to store and retrieve data, scalable software frameworks, and the availability of abundant digital data – both enterprise-level and external, have significantly boosted the adoption of AI and machine learning in real-world contexts. Specifically, the algorithms to sense, process, and act based on any type of structured or unstructured data such as text, speech, image/video are the foundation for such a transformation.
Their application in the area of generating rich insights for business operations, as well as the ability to make reasonable predictions that can then be embedded in those operations, is well documented. Several enterprises are investing significantly in embedding AI and Data Science as part of their business strategy by embracing techniques such as advanced statistical modeling, machine learning, image processing, deep learning, NLP, and the like.
Most organisations struggle to make sense of the plethora of technology and operating options in AI and Data Science. Also, the scarcity of skilled personnel is a major barrier to designing and deploying impactful AI-enabled solutions.
Our Data and AI experts have the right level of implementation experience and deep technical knowledge whilst also being well versed in business domains. We will help you steer clear of the hype surrounding AI and Data Science, and provide practical solutions that embed algorithms wrapped with relevant API and software.
We can then implement it in a manner that suits your priorities. Our team will architect and deliver a strong Data and AI foundation to support your transformation initiatives. This will ensure that the invested efforts yield maximum returns.
Are you looking for more information on how we can help you gain insights and operational intelligence from your data, send us a message?
Background Modern Data Engineering involves creating and maintaining software and systems for accessing, processing, enriching, cleaning data and orchestrating data analysis for business purposes. Data engineers build tools, infrastructure, frameworks, and services....
Background The availability of petabytes scale of structured and unstructured data has lent itself for large-scale harnessing thanks to Data Science and AI. Advances in parallel and distributed computing, and the algorithms to process data of all types including text,...
Background Organisations of all types – be it for-profit, not-for-profit, or Governmental – have all been shaken by the pandemic for over a year now. The need to be in constant touch with the end-users or customers, as well as the key service delivery agents or...