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Unlocking a strategic approach to data and AIAI is only as good as the data that powers it – this is a fundamental truth about data and AI that defines the limits of what’s possible with artificial intelligence. It may seem surprising, but it's rarely a bad algorithm or a bad learning model that causes AI failures. It's not the math or the science. More often, it's the quality of the data being used to answer the question.
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AI como fonte de ansiedade: Manter a calma perante as mudançasA AI como fonte de ansiedade não é uma brincadeira. Quer receie certos trabalhos tornarem-se obsoletos, distorção da informação, ou simplesmente deixar escapar oportunidades, compreender a AI como fonte de ansiedade será fundamental para ultrapassar esses sentimentos.
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Fraud detection and machine learning: What you need to knowMachine learning and fraud analytics are critical components of a fraud detection toolkit. Discover what you’ll need to get started defending against fraud – from integrating supervised and unsupervised machine learning in operations to maintaining customer service.
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Utilização de*** dados sintéticos para impulsionar avanços na AIAprenda porque é que os dados sintéticos são vitais para as iniciativas em AI, como os negócios os utilizam para desbloquear o crescimento, e como podem ajudar a fazer face aos desafios éticos.
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Conheça 6 formas de utilizar a análise de big data que podem melhorar o processamento dos pedidos de indemnização de segurosPorque é que deve incluir a análise de processamento de dados nos seus pedidos de indemnização de seguros? Porque é que juntar a análise e a AI, ao ciclo de vida dos pedidos de indemnização, pode proporcionar um ROI quantificável.
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O que são alucinações de IA?Separar os factos da ficção gerada pela IA pode ser difícil. Fique a saber como é que os grandes modelos de linguagem conduzem a alucinações de IA – e descubra como usar a GenAI de forma responsável.
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O que são chatbots?Os chatbots são uma forma de IA conversacional desenhados para simplificar a interação humana com os computadores. Aprenda mais sobre os chatbots que são utilizados em negócios e como estes podem ser incorporados em aplicações analíticas.
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A data scientist’s views on data literacyData literacy is a social imperative – and understanding data and data analysis is critical for being a responsible citizen. Get a data scientist and teacher's perspective on the value of having foundational knowledge so you can more easily tell data facts from data fiction.
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How AI and advanced analytics are impacting the financial services industryTop SAS experts weigh in on topics that keep financial leaders up at night – like real-time payments and digital identity. See how advanced analytics and AI can help.
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Intelligent policing: Data visualization helps crack down on crimeLearn how data visualization can give police real-time views of locations enriched with other data to help them make intelligent, fact-based decisions.
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Impeça fraudes em aplicações de seguros!Os vigaristas adoram a facilidade com que conseguem cometer crimes nos canais digitais. As companhias de seguros inteligentes estão a utilizar dados desses canais (impressão digital do dispositivo, endereço IP, geolocalização, etc.) juntamente com análise e machine learning para detetar fraudes nas aplicações de seguros que são perpetuadas por agentes, clientes e grupos criminosos organizados.
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Modern manufacturing's triple play: Digital twins, analytics and IoT IoT-powered digital twins revolutionize manufacturing with real-time data analysis, predictive maintenance & optimized production. Discover their transformational impact.
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Porque é que os bancos precisam de uma abordagem ao clima e risco ESG mais evoluída?A gestão do risco ambiental, social e de governança (ESG) é importante para os bancos, entidades reguladoras, investidores e consumidores – no entanto, existem muitas interpretações sobre como fazê-lo Para florescerem, as organizações têm de desenvolver as suas práticas de gestão do risco – incluindo aquelas que são afetadas pelo risco ESG.
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Know your blind spots in tax fraud preventionTax agencies sometimes miss fraud that's happening right under their noses – despite robust external fraud prevention efforts. Find out where traditional tax fraud prevention and detection efforts fall short, and how analytics can change that.
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The importance of data quality: A sustainable approachBad data wrecks countless business ventures. Here’s a data quality plan to help you get it right.
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Containing health care costs: Analytics paves the way to payment integrityTo ensure payment integrity, health care organizations must uncover a broad range of fraud, waste and abuse in claims processing. Data-driven analytics – along with rapid evolutions in the use of computer vision, document vision and text analytics – are making it possible.
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Key questions to kick off your data analytics projectsThere’s no single blueprint for starting a data analytics project. Technology expert Phil Simon suggests these 10 questions as a guide.
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Analytics tackles the scourge of human traffickingVictims of human trafficking are all around us. From forced labor to sex work, modern-day slavery thrives in the shadows. Learn why organizations are turning to AI and big data analytics to unveil these crimes and change future trajectories.
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10 ways analytics can make your city smarter From child welfare to transportation, read 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
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Analytics: A must-have tool for leading the fight on prescription and illicit drug addictionStates and MFCUs now have the analytics tools they need to change the trajectory of the opioid crisis by analyzing data and predicting trouble spots – whether in patients, prescribers, distributors or manufacturers. The OIG Toolkit with free SAS® programming code makes that possible.
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Top prepaid card fraud scamsThe margin for prepaid cards is slim, so it's particularly important to root out the scams. Here are some tips for combating and mitigating prepaid card fraud.
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Detetar e prevenir a fraude nas aplicações bancáriasA fraude nos créditos, por norma, começa por uma candidatura falsa. É por isso que é tão importante usar a análise logo no ponto de partida. Aprenda como a análise e a aprendizagem automática podem detetar fraudes logo nos primeiros pontos de contacto dos pedidos ao reconhecer os maiores desafios – identidades sintéticas.
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Strengthen your payment fraud defenses with stronger authenticationThe rapid growth of digital wallets and payment applications ushered in many new payment fraud threats. Today, it’s more critical than ever to authenticate users. Learn four innovative to ways strengthen your authentication defenses while reducing false positives and protecting customers’ assets.
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A fraude nos pagamentos evolui rapidamente - será que podemos estar um passo à frente?A fraude nos pagamentos acontece quando um criminoso rouba a informação de pagamentos privada de uma pessoa, e depois a utiliza para uma transação ilegal. À medida que as tendências de pagamento evoluem, o mesmo acontece com os autores das fraudes. Os bancos e os PSP podem combater as fraudes com técnicas avançadas de analytics que se adaptam rapidamente à deteção de anomalias no comportamento.
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What is a data lake and why does it matter?A data lake is a storage repository that quickly ingests large amounts of raw data in its native format. As containers for multiple collections of data in one convenient location, data lakes allow for self-service access, exploration and visualization. In turn, businesses can see and respond to new information faster.
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Public health infrastructure desperately needs modernizationPublic health agencies must flex to longitudinal health crises and acute emergencies – from natural disasters like hurricanes to events like a pandemic. To be prepared, public health infrastructure must be modernized to support connectivity, real-time data exchanges, analytics and visualization.
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IFRS 9 and CECL: The challenges of loss accounting standardsThe loss accounting standards, CECL and IFRS 9, change how credit losses are recognized and reported by financial institutions. Although there are key differences in the standards for CECL (US) and IFRS 9 (international), both require a more forward-looking approach to credit loss estimation.
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The 5 new rules of retailThere is good news for retailers. Analytics can help overcome some of the effects of disruption, allowing retailers to move from long-term seasonal forecasting to more agile planning.
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SAS CIO: Porque é que os líderes devem cultivar a curiosidade em 2021Com a mudança que todos enfrentamos este ano, os CIOs devem contar com a curiosidade para desempenharem um papel crucial na forma como vamos conhecer os desafios que temos pela frente. Desde o momento em que o COVID-19 nos atingiu, a nossa empresa de TI confiou na curiosidade - esse forte desejo de explorar, aprender, saber - para alimentar as mudanças urgentes necessárias. E é a curiosidade que nos permitirá satisfazer as necessidades do futuro do trabalho pós-pandémico.
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frtb: a wait and see strategy could be riskyFRTB, fundamental review of the trading book, is a regulation that changes how banks analyze market risk in the trading book to address systemic challenges.
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Are you good at scoring?Credit scoring is the foundation for evaluating clients who apply for a loan (or other types of exposure for the bank). It is not unusual for it to take up to 12 months to build and deploy a new credit scoring model. Reforming the process will help minimize losses, increase earnings and reduce operational risk.
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Risk data infrastructure: Staying afloat on the regulatory floodWhat are the challenges of a risk data infrastructure and how can they be addressed? Here's what you need to know to build an effective enterprise risk and finance reporting warehouse that will effectively address compliance requirements.
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