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WHAT IS THE COST OF AI AND DATA PROTECTION FOR AFRICAN ENTERPRISES ?
Envision a future where you can automate tasks , analyse data in real-time , achieve more with fewer resources , make informed decisions , receive precise security alerts , and utilise data insights for efficient customer support . AI-driven data protection offers continuous innovation to meet enterprise needs , explains Graham Brown at Commvault .
The business world recognises AI ’ s potential and invests heavily in its development , seeing it as a key to technological advancement , competitiveness , and profitability . AI can indeed improve decision-making , efficiency , costeffectiveness , and customer relations . However , AI comes at a substantial cost . Training models like ChatGPT and other Large Language Models demand significant financial resources .
For instance , ChatGPT ’ s training used over 10,000 Graphics Processing Units , GPUs , each costing around R567,223.80 . Operating ChatGPT alone can cost up to R13,235,222.00 per day due to infrastructure requirements .
AI development goes beyond GPUs ; it involves additional hardware and infrastructure , often relying on servers . Interestingly , these same servers used for data protection now democratise . Cloud infrastructure plays a vital role in enabling LLMs ,
AI development goes beyond GPUs ; it involves additional hardware and infrastructure , often relying on servers .
Machine Learning , and automation ’ s widespread use . Reducing AI costs becomes crucial to business profitability .
Businesses can optimise their cloud-based operations by ensuring data integrity while cutting costs . Leveraging Data Protection as a Service , DPaaS is one such approach . DPaaS helps trim operational expenses related to cloud infrastructure , offsetting the rising AI development costs . This aligns with ongoing business optimisation efforts , fostering growth through cost reductions and reinvestment .
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