<center><ins data-revive-zoneid="122" data-revive-id="112a9ec54d551c0833307662200d662d"></ins><!-- [et_pb_line_break_holder] --><script async src="//itomedia.co.za/www/delivery/asyncjs.php"></script></center>

Experian unveils AI-powered credit solutions

Global data and technology company Experian has unveiled its latest advancements in AI, machine learning, and alternative data aimed at transforming credit risk assessment in South Africa. With a significant number of South African adults still outside the formal...

Salesforce elevates human potential with agentic AI

Salesforce has announced the general availability of Agentforce 360. The Agentic Enterprise represents a new model for work — where AI elevates people rather than replacing them. In an Agentic Enterprise, every team operates with 24/7 intelligence: sales leads are...

SAS Retrieval Agent Manager supercharges generative and agentic AI

More than 80% of enterprise data is in unstructured formats such as text and images, and this huge amount of data is growing 50% – 60% annually. Unlocking its value is one of the most significant challenges – and opportunities – for GenAI. Too often, however, current...

Qlik named an IDC MarketScape leader

Qlik has been named a Leader in the IDC MarketScape: Worldwide Business Intelligence and Analytics Platforms 2025 Vendor Assessment. According to the IDC MarketScape, “Organisations constantly seek to be "data driven" or wish for "decision velocity" to better respond...

Predictive data set from TransUnion

In tough times, credit lenders face increased risk, negatively impacting profitability. To meet the market’s need for improved risk management, TransUnion has bolstered its Bureau Credit Characteristics (BCC) suite with the introduction of BCC Format 700 variables. BCC Format 700 variables is the next-generation of consumer credit profiling data tools that is highly granular, offering more than 3 400 variables across 19 refined industries to increase risk predictability.

read more

Big data answers ‘what if’ questions

Almost any definition of big data is based on Doug Laney’s original preposition of the three Vs – velocity (the data is growing rapidly), variety (the data comes from many sources – both structured and unstructured) and volume (the data is big), says Gary Allemann, MD of Master Data Management. However, there are challenges with the three Vs definition for big data. Furthermore, many organisations believe that big data is business intelligence (BI).

read more
<center><!-- [et_pb_line_break_holder] --><ins data-revive-zoneid="11" data-revive-id="112a9ec54d551c0833307662200d662d"></ins><!-- [et_pb_line_break_holder] --><script async src="//itomedia.co.za/www/delivery/asyncjs.php"></script><!-- [et_pb_line_break_holder] --></center>