“The latest version of CaixaBank’s Virtaula training portal uses AI to profile staff and identify what training they might benefit from. A chatbot, which communicates using natural language, will also assist staff accessing courses if they want to take up suggestions.
Another HR example is in Singapore, where DBS bank is using the technology to screen applicants for wealth management jobs, with the aim of saving 40 man-hours a month. A platform known as Jim (Jobs Intelligence Maestro) supports staff in reviewing CVs, collecting responses to pre-screening questions and conducting psychometric tests.”
“A day may come in the future when words spoken in one vernacular language would automatically be translated into another to ease out communication between people belonging to two distinct geographies.
We will set up 25 hubs focusing on diverse areas. Each hub will have multiple academic institutions and industry.
Even with government funding and industry participation, India is just at the starting point of a promising long road to harness AI for societal benefits.”
“Existing methodologies that are either application development-centric or enterprise architecture focused or rooted in hardware or software development approaches face significant challenges when faced with the unique lifecycle requirements of AI projects.
Is the deliverable the algorithm, the training data, the model that aggregates them, the code that uses the model for a particular application, all of the above, none of the above? The answer is yes.
Responding to the needs for a more iterative approach to data mining and analytics, a consortium of five vendors developed the Cross-industry standard process for data mining (CRISP-DM)”