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Browsing: Artificial Intelligence in Africa
Artificial intelligence in Africa can potentially propel the fintech industry into a new era of financial inclusion. AI tools can…
ChatGPT has a premium version – ChatGPT Plus – that is only accessible for a monthly fee of $20. Open…
Girls remain grossly underrepresented in Science, Technology, Engineering, and Mathematics education courses, especially in tertiary institutions and consequently in related…
German-based biotech company BioNTech is set to acquire InstaDeep, founded by a Tunisian-born and U.K.-based artificial intelligence (AI) startup, for…
Integrating AI in farming machines will definitely help in optimizing operations. Investments in mechanization enable farmers to expand the range of their activities and diversify their livelihoods in ways that can reduce their vulnerability to climate change.
The availability of appropriate machinery to carry out sustainable crop management practices increases productivity per unit of land. It also increases efficiency in the various production and processing operations and in agricultural inputs’ production, extraction and transport. Artificial Intelligence methods support agriculture decision-making systems, help optimise storage and transport processes, and make it possible to predict the costs incurred depending on the chosen direction of management.
Tractor-operated tillage is the single most energy-consuming operation in crop production. Operating a plough is the main reason many farmers require high horsepower and diesel-fueled tractors. Conservation agriculture is flexible enough to accommodate the socio-economic resources of smallholder farmers as well as large-scale farming operations.
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 value of the AI construction market was estimated to be USD 466.9 million in 2019. Projections estimate that by 2025, the market value will skyrocket to US$2312.8 million with a compound annual growth rate (CAGR) of 33.87 per cent between 2020 to 2025.
Despite not gaining early adoption within the construction sector as in other areas, AI is now ideally positioned to lead transformative reforms within the sector.
According to an article by majesteye.com dated February 16, 2022, several studies and reports have shown that the adoption of AI applications within the infrastructure sector is growing at a rapid pace. Some of the major drivers of this growth include the following:
Artificial intelligence (AI) technologies are forecast to add US$15 trillion to the global economy by 2030. A new report by Canadian…