terça-feira, 8 de setembro de 2026

Fintech e Crédito Digital

1 article

Nubank processa 100+ produtos em 2025 com IA, mas regulação FGTS freia crescimento de carteira para 10%

O Nu Holdings lançou seu modelo de IA nuFormer em 2025, processando mais de 100 produtos e recursos. A ferramenta acelerou aquisição de clientes, mas mudanças na regulação do FGTS em novembro reduziram o crescimento esperado da carteira de 13-14% para 10%. Inter & Co captou 7 milhões de novos clientes em 2025, com coortes recentes transacionando mais rápido.

Equipa editorial ViaNews (países Lusófonos)•Mar 8, 2026

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AI Investment Boom Meets Market Skepticism: Palantir's Contract Win vs. Stock Slide Amid Record Private AI Funding

Palantir secured the Army's high-profile TITAN AI-sensing contract and added a new executive, yet its stock fell 6% the same day — a sign that even marquee government AI wins no longer guarantee investor confidence. This tension plays out against a backdrop of surging private capital flooding into AI and AI-adjacent companies (Stability AI, Socure, Generalist AI, Emerald AI, and others), showing a bifurcated market: venture funding for AI remains red-hot while public-market sentiment toward AI-defense/enterprise plays is growing more cautious.

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EPKINLY Regulatory-Clinical Success Cascade

High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.

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Onde as fontes divergem

General Motors Company

Both facts reference General Motors' cash position at the identical point in time (2025-12-31), both measuring FY 2025 period-end. Fact A reports $20.945 billion while Fact B reports $21.7 billion—a $755 million discrepancy (3.6% difference). Since they share the same entity, attribute, date, and fiscal period with conflicting values, this is a genuine contradiction, not a change over time. The difference is material enough to suggest either: different source data, different cash classifications (e.g., one includes equivalents/restricted cash), preliminary vs. final figures, or a data quality issue.

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