The challenge is to delve into unstructured data and gather intelligence to deliver personalised offerings and experiences to the customer
Read MoreUnstructured Data – the mine of business intelligence
Tag: ML
UserTesting improves its ML-backed post-test analysis
The new updates are designed to help companies uncover key customer perspectives more quickly
Read MoreHow NBFCs In India better decisions with AI and ML
Arvog Finance, Avanse Financial Services and Clix Capital are among the many NBFCs in India that have invested in emerging technologies for improving decisioning in their organisations.
Read MoreFujitsu opens new research centre in India
FRIPL will initiate joint research with the Indian Institute of Technology (IIT) Hyderabad and the Indian Institute of Science (IISc)
Read MoreO4S upgrades its tech stack with AI and ML technologies
O4S is investing deeply in developing strong capabilities to provide AI and Machine Learning capabilities to its clients.
Read MoreAI/ML usage to expand across all business functions by 2024
40% of large enterprises in India to expand AI/ML usage across all business functions by 2024, according to IDC’s predictions for 2022.
Read MoreIs AI/ML – the most critical tech skill for Indian companies
According to a new IDC report, AI/ML is the most critical tech skill for Indian companies as they plan to acquire it in the next six months.
Read MoreVirtual Machines are foundational for AI, ML and DL: DigitalOcean’s Al Sene
Al Sene: VMs are foundational for AI, ML, and DL technologies and allow for more flexibility in provisioning, utilizing and deploying onto the underlying hardware.
Read MoreEurisko Mobility builds IoT & AI/ML system to fight forest fires
A Lebanese software firm Eurisko Mobility has built a smart system that helps protect forests against fires. Called as ‘Smart Forest’ – the system uses the combined power of IoT and AI/Machine Learning.
Read MoreHDFC Life, Google ties for marketing automation
Machine learning (ML) based automation in Google Ads has enabled HDFC Life to significantly reduce multiple manually optimized targeting groups to fewer groups, leading to improved performance.
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