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Miles Spencer

52 Posts
The 8 Most Translated Novels of All Time

Exploring the 8 most translated novels of all time with Don Quixote at the forefront

1) Don Quixote by Miguel de CervantesEstimated translations: 50+ languages Often cited as the first modern novel, Don Quixote has traveled across centuries and continents since its publication in the early 17th century. Its enduring appeal lies in its layered storytelling: a comic tale of chivalric delusion that doubles as a profound meditation on reality, identity, and authorship.The novel’s episodic structure makes it adaptable for diverse audiences, and its archetypal characters—idealistic knight and pragmatic squire—resonate across cultures. Translators have repeatedly reinterpreted its humor and irony to match evolving linguistic norms, contributing to its sustained global presence.2) A Tale of Two…
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How do firms price growth when capital is more expensive?

How rising interest rates reshape pricing growth decisions

When the cost of capital rises, growth is no longer a simple matter of spending more to capture demand. Higher interest rates, tighter credit conditions, and stricter investor expectations force firms to rethink how growth is priced, justified, and communicated. Pricing growth becomes a strategic exercise that balances profitability, risk, and long-term value creation rather than a race for scale at any cost.Understanding What "Pricing Growth" Really MeansPricing growth refers to how firms set prices, allocate investment, and communicate value in order to expand revenues and market share while covering a higher cost of funding. When capital is cheap, growth…
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Switzerland: CSR cases advancing responsible finance and corporate transparency

Swiss financial institutions navigating global CSR expectations

Switzerland’s international financial and trading hubs have traditionally served as powerhouses for banking, wealth management, insurance, and commerce. Across the last twenty years, regulatory changes, public scrutiny, and high-profile controversies have driven Swiss companies and financial entities to embrace higher levels of corporate social responsibility (CSR), adopt stronger environmental, social, and governance (ESG) standards, and enhance overall transparency. This piece outlines the regulatory framework, spotlights key corporate examples and institutional measures, and draws valuable conclusions for sustainable finance within Switzerland and globally.The regulatory and global framework driving Swiss CSRGlobal standards as anchors. Swiss companies increasingly align reporting and due diligence…
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What business models perform best in a slower-growth environment?

Key business models that succeed when economic growth slows down

A slower-growth environment typically reflects restrained demand increases, more deliberate consumer spending, restricted capital availability, and intensified competition for established customer bases. Such scenarios often emerge after periods of economic maturity, demographic change, rising interest rates, or the leveling-off that follows a boom. In these circumstances, companies cannot depend on swift market expansion to conceal operational weaknesses; instead, resilience, profitability, and disciplined execution stand out as critical strengths.Businesses built on steady operations often achieve better results during periods of slower growth, as they prioritize reliability, recurring income, disciplined cost management, and indispensable offerings instead of rapid expansion.Subscription and Recurring Revenue…
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Myanmar: RSE que impulsa formación laboral y programas de bienestar comunitario

Corporate social responsibility in Myanmar supporting vocational training and community care

Myanmar’s private sector, development agencies, and civil society increasingly deploy corporate social responsibility (CSR) to support workforce training and community well-being. These efforts address chronic gaps in skills, health, education, and local livelihoods while seeking sustainable business benefits such as a more skilled labor pool, stronger local supply chains, and improved social license to operate. Programs range from employer-led apprenticeships and digital skills hubs to health clinics, maternal-child programs, and smallholder agricultural support.Context and needMyanmar’s economy has undergone rapid structural change over decades of reform, investment, and crises. Large segments of the workforce lack formal vocational credentials and access to…
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Which roles are most impacted by AI automation in corporate operations?

How AI automation drives efficiency and scalability in corporate roles

Artificial intelligence automation has evolved from tentative trials into essential infrastructure embedded throughout corporate operations, as progress in machine learning, natural language processing, and robotic process automation enables systems to handle work once performed manually, carried out repetitively, or reliant on basic human judgment; as organizations chase greater efficiency, scalability, and cost management, some roles face heightened automation exposure compared to others, and the impact extends beyond potential job loss to encompass role restructuring, shifts in required skills, and the rise of hybrid responsibilities shared between humans and AI.Administrative and Clerical RolesAdministrative functions are among the most affected because they…
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How are NPUs and AI chips reshaping smartphone and PC roadmaps?

The essential role of NPUs and AI chips in advancing smartphone and PC roadmaps

Neural Processing Units, commonly referred to as NPUs, are purpose-built processors engineered to boost artificial intelligence and machine learning tasks. While CPUs manage broad, general operations and GPUs deliver exceptional parallel graphics and computation, NPUs concentrate on matrix calculations, inference processes, and highly efficient on-device training. In addition to NPUs, the wider family of AI chips encompasses dedicated accelerators embedded within system-on-a-chip architectures or supplied as standalone components for PCs and servers.Over the past five years, AI workloads have shifted from cloud-centric processing toward on-device intelligence. This shift is driven by latency requirements, privacy concerns, and the need for energy…
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