In the digital world, data is everywhere, more and more businesses focus on collecting more data than ever before. Raw, unused data means nothing if it is languishing in some database and not being used.
So, where does AI intersect with Data?
AI can unlock the full potential of data enabling smarter and more strategic decision making.
AI is not just a tool or chatbot —it is the foundation for transforming how businesses will operate.
Challenges & Impediments to AI implementation
Despite the vast amounts of data that organizations have at their disposal, a lot of it is not necessarily used to many common challenges:
Siloed Data:
Data scattered across different departments, databases – thus, introducing redundancies, circular processing and systems that often lack integration, clarity and just leading to inefficiencies.
Manual Processing:
Traditional methods of retrieving, storing, handling and analyzing data are time-consuming and prone to errors.
Complexity and Volume:
With data coming from diverse sources—structured, unstructured, and real-time—Data teams are finding it difficult to extract meaningful insights at scale while having to support such redundancies.
As you can tell, this leads to – Missed opportunities, inefficiencies, and decisions based on incomplete or outdated information. No one really knows why a report is really wrong.
AI can enable automating processes and delivering insights at a speed with accuracy that traditional methods are unable to match.