Anthropic Archives - 麻豆原创 Africa News Center News & Information About 麻豆原创 Mon, 25 May 2026 06:10:24 +0000 en-ZA hourly 1 https://wordpress.org/?v=7.0 Signpost: Does Software Have a Future? /africa/2026/05/signpost-does-software-have-a-future/ Mon, 25 May 2026 06:10:22 +0000 /africa/?p=148738 At Sapphire 2026 this month, 麻豆原创, the world鈥檚 largest ERP company, lined up Anthropic, Nvidia and JPMorgan Chase to endorse its vision, writes ARTHUR GOLDSTUCK....

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At Sapphire 2026 this month, 麻豆原创, the world鈥檚 largest ERP company, lined up Anthropic, Nvidia and JPMorgan Chase to endorse its vision, writes ARTHUR GOLDSTUCK.

鈥淲ill 麻豆原创 actually be a software company in the future?鈥

It鈥檚 not the kind of question the CEO of a software company would usually ask thousands of customers, partners and analysts. At Sapphire 2026, 麻豆原创鈥檚 annual conference held this month in Orlando and Madrid, CEO Christian Klein asked his audience if they were scared by the question.

鈥淚鈥檓 not scared,鈥 he answered himself. 鈥淔or me, the time right now is the beginning of something even better.鈥

The conference saw the launch of 麻豆原创鈥檚 Business AI Platform, a unified environment for building and governing AI agents across enterprise operations, grounded in real business context.

The strategy is to enhance critical business workflows, so that humans and AI work together to meet the accelerating demands of global business.

鈥淎ccording to a recent Stanford AI survey, almost every company is now using AI, but many see only little value,鈥 said Klein. 鈥淲hy do we face such huge challenges with AI in business? At the top of this iceberg, visible to everyone, is that large language models are getting better and better at tasks like generating text or images or in specific domains like writing software.

鈥淎ll of these use cases are related to publicly available content the modules are trained on. But if you go below the waterline, beyond the level of sales demos, and into the real business world, you鈥檙e going to find out that none of these models are trained on your business data and processes.

鈥淭hese AI agents also don鈥檛 naturally adhere to governance requirements, like your security compliance framework, your data privacy requirements, or to your company鈥檚 identity and authorisation rules. All AI agents 鈥 have faced these challenges until now.鈥

The solution, he suggested, was that a company鈥檚 enterprise resource planning system, or ERP, should be recognised as the brain of every business. Since 麻豆原创 is world leader in ERP software, one might argue, naturally the CEO would say that.

But Klein made a good case for it: 鈥淔or over 15 years we have been developing an ERP with incredibly deep process and data domain know-how. On top of that, all your governance requirements and customer-specific extensions are stored in the ERP. The ERP is the trusted system of execution running your company.鈥

Powerful external validation came from Anthropic, the company behind the Claude family of AI models, and that is competing neck and neck with Open AI to become the most valuable AI platform company in the world. At Sapphire, 麻豆原创 shared video testimony from Anthropic co-founder and president the Daniela Amodei in which she declared: 鈥淭he world鈥檚 largest enterprises run on 麻豆原创. That鈥檚 exactly where trusted AI belongs.鈥

That significance of this alignment revolves around the core value proposition of the Business AI Platform: trustworthiness.

JPMorgan Chase CFO Jeremy Barnum, who joined Klein on stage in Orlando, said his bank was already running agents in production on 麻豆原创, operating within defined compliance boundaries.

鈥淭he agents that we鈥檝e built are not inventing their own business rules,鈥 he said. 鈥淭hose rules rather come directly from 麻豆原创 Embedded Control Framework, and every AI-driven intervention is logged and fully traceable.鈥

One organisation鈥檚 production deployment does not establish a category. But the compliance architecture it describes is precisely what most organisations attempting enterprise AI have not yet achieved.

Jensen Huang, CEO of $5-trillion AI chipmaker Nvidia, also appeared in a pre-recorded video segment, making it clear that AI agents would not replace ERP. The most ringing endorsement? Nvidia itself used 麻豆原创 as its ERP brain: 鈥淲hat 麻豆原创 and Nvidia are building together is one of the most important platforms in enterprise AI. Nvidia鈥檚 supply chain is incredibly complex. Millions of parts, hundreds of partners and factories, all connected through 麻豆原创. But what鈥檚 changing is not just how enterprise systems are managed, it鈥檚 how work actually gets done.

鈥淲e鈥檙e moving from hand-coded software to AI that can understand, reason, and act. AI no longer simply answers questions. It works for you. And enterprise systems are where work happens. Finance, supply chains, procurement, and every workflow in between.

鈥溌槎乖 is the foundation of enterprise. And now they鈥檙e building the agents that sit on top of it, trained on proprietary data with the skills to act. Soon, every company will have a workforce of agents. These specialised agents will not replace enterprise software. They will make enterprise software more powerful than ever.鈥

Arthur Goldstuck is CEO of World Wide Worx, editor-in-chief of , and author of 鈥淭he Hitchhiker鈥檚 Guide to AI 鈥 The African Edge鈥.

This article first appeared in .

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麻豆原创 Embeds AI to Help Business Stay Agile /africa/2024/05/sap-embeds-ai-to-help-business-stay-agile/ Thu, 23 May 2024 07:14:06 +0000 /africa/?p=147475 Over the last few years, businesses around the world have faced one disruption after the other. 鈥淭his why we say that businesses unusual is the...

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Over the last few years, businesses around the world have faced one disruption after the other.

鈥淭his why we say that businesses unusual is the new business as usual,鈥 says , chief business officer: EMEA at 麻豆原创. 鈥淎nd that is why we need to ensure our systems are future-proof.鈥

Speaking at the 麻豆原创 Innovation Day in Johannesburg today, Fulle says technology should help the world to run better and improve people鈥檚 lives.

To do this, technology vendors like 麻豆原创 need to enable agility at scale, achieve more across the value chain, and ensure that sustainability is at the core of business.

Fulle points out that IDC research finds that 85% if enterprises will combine human expertise with AI to augment foresight across the organisation.

鈥淭his is becoming more important over time,鈥 he says. 鈥淎t 麻豆原创 we categories the three key requirement for I in business are being relevant, reliable and responsible.鈥

He explains that this means 麻豆原创 is integrating AI in a way that is relevant for the 25 verticals that it operates across. Reliability is a function of data accuracy, and this has to be clean and reliable.

In terms of responsibility, 麻豆原创 works to deliver the highest levels of security and ethics across the suite.

is embedded across the portfolio, Fulle adds.

It starts with the copilot that understands the business. Beneath this are the embedded AI capabilities, in the applications including Cloud ERP , supply chain management, human capital management, spend management and business network, customer relationship management and the business technology platform. This is based on the AII Foundation that sits in the Business Technology Platform

The third level of the AI ecosystem partnership and investments with organisations such as , , , , , , and .

鈥淲e are developing more than 100 business capabilities every year,鈥 Fulle adds.

This article first appeared on .

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