Machine Learning | DigiconAsia

As they say: Rubbish In, Rubbish Out — and where AI is concerned, getting your organization’s data primed for AI/ML is critical

Accenture: More than 60% of companies only experimenting with AI

By DigiconAsia Editors | Jun 10, 2022 | Features, News, Newsletter

Only 12% are using AI at a level that achieves strong competitive advantage, according to new global research from Accenture.

Why does automation still need human intervention?

By Chokkapan S, IMAWS | Dec 6, 2021 | Features, Newsletter

Business automation has matured since the advent of word processors and digitization. The next step is to realize autonomous automation …

Accelerating graph analytics for AI and ML in Singapore enterprises

By DigiconAsia Editors | Nov 22, 2021 | News, Newsletter

Collaboration to build national graph database capabilities and talent pool to make graph technology more accessible to startups and enterprises.

Can Asia Pacific’s banks meet the AI challenge?

By Victor Ng | Jul 23, 2021 | Features, FSI innovations & FinTech, Newsletter

How should banks implement AI and where should they focus their AI-powered innovations on when building the bank of the future?

Using ‘Business Science’ to make smarter, faster decisions with AI and data

By Victor Ng | Jun 22, 2021 | Data Management & Analytics, Features, Newsletter

Reliance on a limited pool of data science specialists delays decision making, which is detrimental in an environment where speed and agility are key to business success.

Hackathon winners solve big problems through AI and analytics

By DigiconAsia Editors | May 25, 2021 | News, Newsletter

From reducing childhood obesity trends to preventing falls with smart shoe insoles, a global contest has showcased big data’s powerful potential.

Taking the fear out of fraud

By Victor Ng | May 20, 2021 | Digital Payments, e-Commerce, Newsletter

In an increasingly cashless economy, merchants and consumers alike have a fear for fraudulent transactions. How should we balance fraud prevention and customer experience?