dataecosystem.Ai

www.dataecosystem.ai

Data Eco is the master reseller of the ecosystem.Ai software product. Our unique solution incorporates real-time prediction capabilities, a deep understanding of computational social sciences and human behavioural attributes, expert technical and collaborative skills, to deliver more reliable business outcome predictions, faster than anyone else. We are passionate about our people. Our people are passionate about AI. Through our formidable team, we will show how AI can be positively used to solve real business problems and drive business outcomes, whilst at the same time giving us the opportunity to upskill our local workforce to create a better life for all of us. The ecosystem.Ai platform’s differentiation and proven effectiveness is achieved through a unique combination of extensive machine learning experience and deep computational social sciences understanding. This, together with many years of pre-integrating and containerising the industry’s leading technologies and techniques, has enabled ecosystem.Ai to radically remove complexity, contain the cost, and compact the time to move from hypothesis to business value. Runtime deployments can be deployed natively, or on any cloud environment, including Azure, AWS and Google Cloud. A recent study showed that of the 85% companies believing in machine learning’s competitive advantage, only 5% of these have a machine learning process in production. We are disrupting this by bringing a full-stack approach to the domain of artificial intelligence. This enables a clear path to successful implementation that is aligned with business priorities while compacting the time to value, removing complexity and containing cost. Repeatedly, the success of these two factors has been proven in some of the South Africa’s leading brands across telecommunications, banking, financial and health services. Join our weekly discussions on: https://www.meetup.com/ecosystem-ai-artificial-intelligence-meetup-group

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Data Eco is the master reseller of the ecosystem.Ai software product. Our unique solution incorporates real-time prediction capabilities, a deep understanding of computational social sciences and human behavioural attributes, expert technical and collaborative skills, to deliver more reliable business outcome predictions, faster than anyone else. We are passionate about our people. Our people are passionate about AI. Through our formidable team, we will show how AI can be positively used to solve real business problems and drive business outcomes, whilst at the same time giving us the opportunity to upskill our local workforce to create a better life for all of us. The ecosystem.Ai platform’s differentiation and proven effectiveness is achieved through a unique combination of extensive machine learning experience and deep computational social sciences understanding. This, together with many years of pre-integrating and containerising the industry’s leading technologies and techniques, has enabled ecosystem.Ai to radically remove complexity, contain the cost, and compact the time to move from hypothesis to business value. Runtime deployments can be deployed natively, or on any cloud environment, including Azure, AWS and Google Cloud. A recent study showed that of the 85% companies believing in machine learning’s competitive advantage, only 5% of these have a machine learning process in production. We are disrupting this by bringing a full-stack approach to the domain of artificial intelligence. This enables a clear path to successful implementation that is aligned with business priorities while compacting the time to value, removing complexity and containing cost. Repeatedly, the success of these two factors has been proven in some of the South Africa’s leading brands across telecommunications, banking, financial and health services. Join our weekly discussions on: https://www.meetup.com/ecosystem-ai-artificial-intelligence-meetup-group

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Country

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City (Headquarters)

Cape Town

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Employees

11-50

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Founded

2021

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Social

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  • Chief Executive Officer

    Email ****** @****.com
    Phone (***) ****-****

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