Browsing: Machine learning

CyborgIntell Africa says it will work closely with financial institutions and other enterprises to help them rapidly develop, deploy and operationalize AI applications at scale.

A statement says the CyborgIntell platform addresses the key challenges companies face in the data science/machine learning lifecycle – from data selection and modelling, and operationalizing AI, to managing risk and governance.

“AI is a powerful and transformative technology, yet many companies across the world find it difficult to unlock its full potential. More than a third (36%) of organizations take more than 90 days to deploy data science machine learning (ML) projects, while the failure rate of such initiatives is estimated to be 85% across industries,” said McLachlan, CyborgIntell managing director.…

The Zimbabwe Electricity Supply Authority (ZESA) is now legally able to incorporate drones in its infrastructure management. This announcement was made at an event the national power company held to mark its acquisition of a Remotely Piloted Aircraft Operator’s Certificate (ROC).

According to an article by Newsday published on June 15, 2022, speaking at ZESA’s drone technology certification ceremony in Harare Executive Chairman Sydney Gata said certification of the use of drone technology in their day-to-day operations is expected to improve service delivery.

“This will enable a quicker turn-around in fault finding and rectification resulting in the continuous and consistent provision of electricity to our customers. Drone technology will also assist ZETDC in its fight against vandalism and theft of electricity.”

ZESA is battling a myriad of challenges including incessant faults, mainly emanating from aging power distribution infrastructure. This has seen the country grappling with endless power cuts.…

Global data centre spend was expected to reach an impressive total of $208 billion by the end of 2020.

Demand, thanks to expanding business footprints and the move to the cloud and alternative infrastructure solutions, has pushed the market into overdrive with an estimated 628 hyper scalers expected to rise by 2021.

The edge, artificial intelligence, cloud IT infrastructure investment, machine learning, and the rise of emergent technologies are shifting the data centre into high gear, and centre stage.

But what if the data centre fails? What if demand overtakes infrastructure? Downtime can incur huge costs, put an organisation’s reputation on the line, and can have unexpected knock-on ripple effects throughout the company and its infrastructure.

Therefore, it is essential to tick two particularly important boxes when investing in a robust data centre strategy – reliable power and comprehensive loadbank testing.

As data centre usage continues to rise exponentially alongside …

Smallholder farmers currently make up 70 per cent of sub-Saharan Africa’s population, contributing some 90 per cent of food production…