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Sacking of Iran’s finance minister deals blow to reformists

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Sacking of Iran’s finance minister deals blow to reformists

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Iran’s hardline-dominated parliament has impeached and sacked economy and finance minister Abdolnaser Hemmati, delivering a significant setback to the reformist government of President Masoud Pezeshkian.

The move highlights tensions over how to handle Iran’s crisis, which Pezeshkian says is driven by US sanctions and has become an “all-out war” over the economy.

Lawmakers who voted to remove Hemmati blamed him for worsening economic conditions since he took office last August. They pointed to the 60 per cent depreciation of the national currency, the rial, against the US dollar on the open market during his tenure, along with soaring prices for essential goods including food and medicine.

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Of the 273 lawmakers present for Sunday’s session, 182 voted in favour of impeachment, 89 opposed it, one abstained, and one vote was declared invalid.

Defending his minister, Pezeshkian urged parliament not to dismiss a key member of his government, arguing that Iran faced a crisis even more severe than the Iran-Iraq war of the 1980s.

“We are in an all-out war with the enemy [the US]. The war with Iraq was nothing [in comparison],” Pezeshkian told lawmakers. “The enemy wants us to show division. How can we bring about major economic change in just six months?”

President Masoud Pezeshkian urged parliament not to dismiss a key member of his government, arguing that Iran faced a crisis even more severe than the Iran-Iraq war of the 1980s © Vahid Salemi/AP

The impeachment comes amid a renewed “maximum pressure” campaign by the US administration of Donald Trump, who has reimposed sweeping sanctions on Iran over its nuclear programme, similar to the measures he introduced in 2018 during his first term.

Pezeshkian admitted that Iran was already struggling to sell its oil due to the latest sanctions, with oil tankers “struggling to offload” shipments.

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Elected last July on a platform promising to seek sanctions relief, Pezeshkian had suggested that economic recovery depended on negotiations with Washington.

While Pezeshkian’s senior diplomats had signalled a willingness to discuss the country’s nuclear programme, hopes for renewed talks have dimmed. A recent executive order by Trump expanded US sanctions, citing concerns not only about Iran’s nuclear activities but also its ballistic missile programme and regional policies.

Hardliners in Tehran argue that Washington is now seeking to strip Iran of its strategic capabilities entirely, rather than negotiate a limited nuclear deal like the 2015 agreement that Trump later abandoned.

On Sunday, Pezeshkian acknowledged that he had supported the idea of talks with the US as a “better” option, but reaffirmed his loyalty to Ayatollah Ali Khamenei, the supreme leader who ruled out negotiations last month shortly after Trump announced his approach.

“When the supreme leader said we don’t negotiate with the US, I [abided by it and] announced we won’t negotiate with the US. That is the end of the story,” Pezeshkian said, in what appeared to be an attempt to appease his conservative critics.

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During the debate, some lawmakers accused Hemmati of advocating for negotiations with Washington — which he denied — and of blaming all of Iran’s economic problems on sanctions.

In his defence, Hemmati pointed to deep-rooted domestic structural problems that predate his tenure, including rising poverty and widespread corruption.

He noted that 10mn Iranians had fallen below the poverty line over the past seven years and that an estimated $30bn worth of goods was being smuggled in and out annually due to economic favouritism and political connections. He also highlighted acute problems in the banking and energy sectors.

“About 80 per cent of people are being crushed by what smugglers, sanctions profiteers, and those with special privileges are doing,” Hemmati said. “The budget deficit . . . is tied to international developments.”

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Finance

How Natura &Co Is Transforming Finance with Generative AI on SAP S/4HANA

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How Natura &Co Is Transforming Finance with Generative AI on SAP S/4HANA

For a company navigating one of the most consequential transformations in its history, financial clarity is not optional—it is essential. Natura &Co, the Brazilian personal care and cosmetics group behind iconic brands such as Natura and Avon, has long been committed to combining purpose-driven business with commercial performance. After a period of strategic portfolio reshaping, including the divestiture of its Aesop and The Body Shop holdings, the company is now sharpening its focus on profitability and operational excellence across Latin America and global markets.

At the center of that effort sits a deceptively complex challenge: understanding, in real time, which revenue and cost factors are driving or eroding gross margin across a highly diversified business. For years, answering that question meant manual reporting, delayed insights, and finance teams spending valuable time on data gathering rather than analysis.

That’s now changing, thanks to a co-innovation initiative developed together with SAP and Numen, a global SAP partner specializing in digital transformation and enterprise software implementation.

From manual reporting to proactive decision intelligence

An enterprise AI platform built for your business

The project’s goal was to replace a labor-intensive gross margin analysis process with a generative AI application embedded directly into Natura &Co’s financial workflows. Built on SAP Business AI Platform, SAP’s unified foundation integrating business technology, data, and AI capabilities, the application connects directly to data in SAP S/4HANA to provide finance teams with automated insights and narrative recommendations in real time, without the need for manual data pulls or offline reporting.

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The application enables users to explore revenue, cost, and margin drivers interactively, identifying at a glance which elements are protecting or eroding margin performance across markets and product lines. Crucially, human oversight remains central to the design: the AI application generates insights, while finance professionals retain full control over interpretation and decisions.

“The implementation of gross margin analysis using AI in SAP S/4HANA marked an inflection point in the analytical capability of our finance area,” said Rogério Dias Garcia, tech manager, ERP Latam, Natura &Co. “We overcame delays and raised the standard of insights by integrating margin analysis from SAP S/4HANA with a large language model connected via the SAP AI Core layer. This architecture allowed us to provide, in an agile, secure, and completely anonymous manner, a stratified and precise view of gross margin offenders and protectors—discriminating exactly which revenue or cost elements were driving market performance.”

A collaborative architecture for scalable AI adoption

Natura &Co’s application derived from a prototype SAP partner Numen created in early 2024 at SAP’s global Hack2Build on business AI, leveraging the generative AI capabilities of SAP Business AI Platform. The solution was designed and developed through close collaboration between Natura &Co, Numen, and SAP. From the outset, the approach was to align AI adoption with concrete business priorities, ensuring the application would be scalable and production-ready rather than a standalone prototype.

Numen brought deep SAP implementation expertise to the project, combining knowledge of SAP S/4HANA architecture with hands-on experience in building solutions on SAP Business AI Platform. The technology stack—SAP S/4HANA, SAP AI Core, SAP Fiori, and SAP Business Technology Platform—provided the secure, integrated foundation needed to connect financial data with generative AI capabilities in an enterprise context.

“SAP enabled the transformation by providing the technological foundation and expert support,” said Carlos Aravechia, head of Data Design & Intelligence at Numen.

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The success of the project has validated a broader conviction at Natura &Co: that generative AI, embedded directly in ERP workflows, can fundamentally reposition finance from a transactional function to a strategic business partner.

A blueprint for other businesses

The Natura &Co project demonstrates a pattern that other organizations can replicate, particularly those running SAP S/4HANA. The combination of structured ERP data with the contextual reasoning capabilities of large language models creates a foundation for decision intelligence that goes well beyond traditional business intelligence tools.

The project was built within a six-month co-innovation sprint and went live in August 2025. It is currently in use across Natura &Co’s Equador operations.

Looking ahead, Natura &Co is already planning the next phase: integrating Joule Agents to further automate the extraction of standard analytical content and deepen the AI-driven optimization of financial processes.

“The success of this initiative validates the transformative potential of embedded AI within our ERP,” Dias Garcia noted. “We are now ready to move forward—deepening these insights and integrating the capability of Joule Agents to maximize the extraction of standard content and further optimize our business decisions.”

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For SAP customers evaluating how to move from AI experimentation to AI in production, the Natura &Co project offers a concrete, replicable model: start with a high-value, well-defined business process, embed AI directly into existing workflows, and build in human oversight from the start.


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Low-income Chinese girl aces gaokao, inspires live-streamers offering help

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Low-income Chinese girl aces gaokao, inspires live-streamers offering help

A girl from a disadvantaged rural family in central China topped this year’s gaokao, attracting numerous live-streamers eager to finance her education, which she declined.

The home of 18-year-old secondary school graduate Han Yaping in a Henan province village was recently bustling with live-streamers.

This attention came after Han achieved an impressive score of 699 out of 750 in the gaokao, China’s national college entrance exam.

She has received offers from China’s two leading universities, Tsinghua University and Peking University.

Han’s accomplishment is particularly remarkable given her family’s impoverished circumstances.

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Her mother suffers from ankylosing spondylitis, an inflammatory arthritis affecting the spine, preventing her from working. Her father, who earns a living through farming and odd jobs, serves as the family’s sole provider. Han also has a younger sister.

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UK financial regulator publishes landmark AI review

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UK financial regulator publishes landmark AI review

The UK’s Financial Conduct Authority (FCA) published a landmark review on Monday that proposes recommendations to regulate the impact of artificial intelligence (AI) on the financial decisions made by consumers.

The review, titled the Mills Review, anticipates that both consumers and firms will start delegating “more financial decision-making to AI systems,” including for agreements, initiating transactions, and executing decisions “within agreed parameters.” One of the key findings of the review outlined that while AI can help bridge advice gaps and “support growth,” there remain risks “associated with fraud, cyber security, and consumer harm.” Conducting the review, Sheldon Mills highlighted that “AI can also amplify risks: bias, discrimination, exclusion, opaque decision-making (particularly when multiple AI models interact), misleading or hallucinatory advice and erosion of consumer trust.”

The review stated that presently, one in five adults in the UK are “already open to AI making decisions for them,” particularly when decisions feel “complex or high stakes.” It found that roughly 26 percent of the population “trust general-purpose tools such as ChatGPT, Claude or Gemini for financial advice” with little awareness that such platforms provide no “formal routes to recourse” or protections.

Overall, the Mills Review identified four areas that it anticipates will be impacted by AI in the financial sector: “the transformation of firms,” “new consumer journeys,” “a reshaped competition landscape,” and “amplified financial crime and cyber risk.” The FCA projected the shift in how consumers and firms consult AI to take place by 2030.

The Mills Review put forth seven “priority” recommendations to be considered by the FCA Board. It recommended that any transitions to autonomous AI models be monitored and that regulatory frameworks and perimeters be adapted and secured. The review called for the strengthening of “system-wide coordination and oversight,” the scaling up of the FCA’s AI Lab to enable it to support AI models and innovation for agentic finance, and an “AI-enabled agentic supervisory model” to be built and adopted.   Finally, it recommended that a trusted “public-interest AI-enabled financial capability service” be developed.

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The FCA announced, in the press release, that it will launch an AI “good and poor practice publication” in late 2026.

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