Inteligência Artificial em Serviços Financeiros: Realidades por trás do hype

Inteligência Artificial em Serviços Financeiros

Inteligência Artificial em Serviços Financeiros: Realidades por trás do hype

Tópicos principais:

Estudos de caso e casos de uso de IA dentro da FSI
Desafios, armadilhas e realidades atuais
Governança e gestão de dados
Ética de IA nos Serviços Financeiros

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Palestrantes:

Dr David Hardoon, Conselheiro Sênior Data & AI, UnionBank Antes de sua função consultiva no UnionBank, o Dr. Hardoon foi Diretor de Dados da Autoridade Monetária de Cingapura. Ele se considera um artista de dados ao invés de um puro cientista de dados.

Foong Chee Mun, CTO & Co-Founder, Money Lion Chee Mun co-fundou o MoneyLion, um neobank com sede nos EUA listado como Fintech 2020 da Forbes. Como CTO, ele lidera a equipe de ciência de dados situada em Kuala Lumpur.

Andy Li, fundador e CEO, Silot Um ex-executivo da Baidu, Andy fundou a Silot uma empresa fintech que fornece soluções de IA para bancos. A Silot está listada na última KPMG Fintech100: Leading Global fintech Innovators.

Michael Hom, Head Financial Solutions, InterSystems Michael chefia a equipe de Soluções Financeiras da InterSystems, um fornecedor de soluções de sistemas de software e tecnologia para banco de dados de alto desempenho

Outros Recursos Que Você Pode Desfrutar

TrakCare Lab Enterprise provides a single pathology record, connecting patient data from lab sites across all disciplines to accelerate and improve time to treatment and care efficiency.

Over 7,300 labs across 22 countries trust InterSystems to process over 1 billion test results per year.

A Global Survey of 554 Line of Business Leaders

We surveyed 554 financial services business leaders, globally, to understand the biggest technology and data challenges their organizations face, as well as their key data initiatives and priorities for the next 12 months, and their views on collaborating with fintechs.

Prior Authorizations

Prior authorization — the process by which health insurers determine whether they cover clinical services before someone receives them — has long been a burden for patients, providers, and payers.

Provider Directory

The era of getting by with shoddy provider directories is over. As the industry shifts from prioritizing volume-based to value-based care, there’s a profound sense of urgency to cultivate clean, comprehensive provider data.

Healthcare Analytics

Analytics ranks among the most powerful tools in healthcare’s COVID-19 pandemic toolkit. Without it, other resources — vaccines, personal protective equipment, and new treatments, for example — wouldn’t be as useful.

Healthcare Analytics

Just like a drummer delivers power to the band, your data should also give power your decision-makers and caregivers. With Healthcare Analytics, you can drive and empower your entire healthcare organization to deliver better care and outcomes for the populations you serve through healthy, organized data.

A 360-degree view of customers

In this interview Ann Kuelzow, Global Head of Financial Services, InterSystems, shares insights into how asset managers can gain a 360-degree view of their customers, not only to improve customer experience but to remain competitive. She touches upon utilizing predictive analytics, AI, and ML, and how to manage data that is dispersed across the enterprise and locked away in legacy systems in order to have an accurate, real-time view of data.

KLAS Research collects feedback from thousands of healthcare providers to offer an honest, accurate, and impartial overview of vendor performance. This feedback is quantified and summarized in its 2022 Best in KLAS Software & Services report. KLAS calls Best in KLAS a recognition of a vendor’s “outstanding efforts to help healthcare organizations accomplish the quadruple aim: better outcomes, lower costs, improved patient experience, and improved clinician experience.”

Bangkok’s Bumrungrad International Hospital treats more than one million patients annually from 190 different countries with unique and complex patient cases. This is a massive amount of patient data—think millions of records—and Bumrungrad’s clinicians need help analyzing all of it. How do they do it?