God of SaaS, Software Engineer, Techvangelist. co-lead @logistixafrica
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Joined November 2019
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The journey to maximizing AI’s potential involves strategic planning, robust data governance, and a clear understanding of both opportunities and risks. What’s your perspective on integrating AI agents into your operations?
#AI #technology #EV #manufacturing #AIAgents
A practical transition I’ve employed is moving from Q&A agents to digital staff designed for supervision and control. This is not a novel concept. Deutsche Telekom, for instance, began by creating Q&A agents for staff support and gradually progressed to autonomous digital staff.
In manufacturing, some companies are cautiously exploring AI agents for autonomous supervision and control. However, challenges like AI hallucinations pose real risks. (If you’re in EV manufacturing and interested in discussing this further, feel free to send me a message!)
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Take data policies, for example. Businesses must exercise caution, as poor data practices could lead to breaches. Gartner suggests that 25% of business breaches will result from AI agents’ exposure to sensitive business data.
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As more businesses adopt and rely on AI agents, understanding how to strategically leverage them becomes increasingly vital. Gartner predicts that by 2028, AI agents will make 15% of daily business decisions autonomously. However, this growing reliance comes with risks.
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Thoughts again. According to the International Data Corporation (IDC), AI investment will exceed $100 billion by 2026. But one critical question remains: Are companies actually realizing a return on these investments?
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The transformation is here, and organizations must carefully choose the right piece of this dynamic pie to prioritize. Which platform will you trust to orchestrate your success?
#AIAgents #MartechLeadership #FutureOfAutomation
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For instance, with advancements from players like Anthropic, OpenAI, Mulesoft by Salesforce, and tools like LangChain, and Llamaindex🥰 for churning agents, the race is on. Now add to this the rise of role-specific AI agents, and the stakes get even higher.
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Understanding these relationships will be critical in determining which platforms truly lead the charge.
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The question is: Which integration platform will dominate in orchestrating it all?
There is a complexity: the unhealthy dependence of many AI agents on existing SaaS products. These dependencies could either improve their capabilities or limit their potential for autonomy.
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Who will take the lead in the AI agent revolution? Who will become the ultimate orchestrator of all orchestrators? 🤑
As we witness a boom in AI agents, it’s clear some will thrive while others, "masking agents" offering little real value, will fade away.
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What could be done to reduce the exodus ? Or even contain it within Africa.
Based on data you’ve collected from touring Africa.
It is an interesting thought, but not all Africans abroad find it difficult. This lays emphasis on planning, what can moving abroad fetch you. If you’re in AI, EV space it is, you may find more opportunities here it is not exclusive to Africans.
However, we should give back!
