Hoe gebruik je analytics en artificiële intelligentie (AI) om op grote schaal waarde te genereren voor je organisatie? De praktijk leert ons dat de meeste modellen hier niet in slagen. SAS ontwikkelde daarom met CGI een unieke ‘Smart Factory in a Box’-workshop. De Smart Factory in a Box is een
La disrupción de nuestra vida como la entendíamos hasta ahora ha impulsado y puesto en valor la importancia de la transformación digital. La repentina y urgente necesidad de trabajar desde casa, mientras se mantenía la comunicación con colegas y clientes, avivó un rápido cambio en nuestra forma de trabajar. Esto,
Customer acquisition and retention primarily fall on sales and marketing teams. But every department within an insurance company has a role to play in these activities. Claims handling is a great example. Any insurer's performance at this emotionally charged time is their litmus test. It can determine whether customers renew
Anyone in the insurance industry knows that fraudsters are becoming more sophisticated and their crimes more difficult to identify. Insurance fraud in the UK costs an estimated £3 billion per year – but only around a third of that is detected. Whilst opportunistic fraud poses a problem to the industry and
Data is crucial for the development of artificial intelligence (AI) applications. However, the rapid availability of data is a challenge due to increasingly strict privacy regulations. A possible solution is to use synthetic data. Gartner predicts by 2024 that 60% of the data used to develop AI and analytics applications
More newsworthy than ever, since the pandemic, the so-called ESG (Environmental, Social, and Governance) is one of the hottest topics in any organization, any industry. No surprise, ESG investing continues to soar in 2022. Did I tell you I work for a company that has a solar farm, bees and
I was recently told that an organization had tried to implement AI for forecasting in supply chain but had failed due to poor data. This got me thinking about exactly what the impacts of poor data would be. And whether the approaches I had applied elsewhere could help. It's probably
Gartner first openly used the term "hyperautomation" in 2019. But what is it? How will it benefit your organization? And what are we hyperautomating? In this post, I discuss what we are hyperautomating and how the convergence of technology and decision maturity made it possible. If you are still curious about
Geen sector die de afgelopen twee jaar zo hard onder druk stond als de gezondheidszorg. En ook nu het einde van de pandemie in zicht lijkt, zullen veel uitdagingen rond Healthcare en Life Sciences niet verdwijnen. Gelukkig investeren zowel overheden als ziekenhuizen en farmaceutische bedrijven fors in data en analytics
Afirmar que la pandemia del COVID-19 ha cambiado nuestra forma de vivir y trabajar se ha convertido prácticamente en un tópico en los últimos meses. Sin embargo, no todas las empresas o sectores han cambiado de la misma manera, sino que existen algunas diferencias interesantes en cuanto a adaptación y
2022 será un año especial y sui géneris en muchos sentidos. Llega en medio de una realidad muy distinta a la que vivíamos al inicio de 2020, en la que la gente y las empresas han tenido que aprender a ser resilientes y adaptarse rápidamente a nuevos escenarios. En el
One of the most discussed tech topics in the last 12 months has been hyperautomation. It has led to so many conversations that I now get episodes of déjà vu in the middle of meetings. This is a good thing, as organisations recognise the need for flexible innovation, rapid product development and
1회. 도입 목적과 범위, AML Compliance Analytics Maturity Model 자금세탁 방지 의무가 있는 대부분의 금융 기관과 기업은 자금세탁 방지와 관련된 컴플라이언스 업무 수행을 위해 막대한 인력, 시간, 비용, 노력을 투자하고 있습니다. 자금 세탁 방지 컴플라이언스는 FATF가 설립된 1989년 이후 자금세탁 방지(AML;Anti-Money Laundering), 테러자금조달 방지(CFT; Countering the Financing of Terrorism), 대량살상무기
When considering anti-money laundering operations, it’s not unreasonable that most people would probably think first of banks and other financial institutions. These organizations are probably the most obvious place to deposit large sums of money, including those obtained from criminal activities. And are therefore the most important first line of
There is no shortage of challenges associated with the deployment of AI: a lack of access to infrastructure, a lack of skills, and new legislation meant to enforce the responsible use of this evolving technology. But the most consequential questions facing us are innately human. Namely, ensuring human agency, safety
Since 2015, the number of Americans who to listen to at least one podcast per month has increased by approximately 40 million people. The number of podcast listeners has also ballooned globally in tandem with a rise in smart speaker adoption. People are consuming them at home, on the go
“Bias is not inhuman. To have bias is absolutely human,” says Banu Raghuraman. If data enthusiasts are going to break the cycle of bias, however, “we have to be more aware of where the data is coming from, what it’s trying to tell us and how we can break the
As organizations increasingly use artificial intelligence to collect and analyze data and identify individuals, the topic of ethical AI often rears its head. Last year, Michigan's Integrated Data Automated System flagged more than 540,000 unemployment claims as possibly fraudulent. Thousands of state residents’ accounts were inaccurately flagged, making it almost
싱가포르에 본사를 둔 ADDO AI사는 인공 지능으로 세계를 변화시키고 있는 기술 기업으로, 세계 유수의 기업을 고객으로 두고 있는 있습니다. 이 회사의 공동 설립자 겸 대표 아예사 칸나(Ayesha Khanna)가 지난 SAS 글로벌 포럼에서 실제 기업의 사례를 중심으로 AI 트렌드를 소개하며, AI를 이용하여 경쟁에 앞서갈 수 있는 방법을 소개했습니다. 기계는 우리를 어떻게
There is general agreement that artificial intelligence (AI) has the potential to transform health care. However, there is also little doubt that this process has not yet really started. Hospitals and health care providers have been relatively slow to adopt AI solutions on a large scale. Beyond automation There are
When people think about sports, many things may come to mind: Screaming fans, the intensity of the game and maybe even the food. Data doesn’t usually make the list. But what people may not realize is that data is behind everything people love about sports. It can help determine how
Data science expert Andy Pulkstenis describes how to skip common machine learning mistakes.
Underperforming schools can cast a shadow over the community. Not only do students suffer, but the downstream effects of poor performance can be felt across school funding, teacher retention, morale and the local economy. When one of the top 20 K-12 school districts in the US received a “C” ranking
Throughout its history, the United States has invested in infrastructure that leverages new technologies and helps society and its economy thrive. With the advent of trains in the early 1800s, four of the country’s five transcontinental railroads were built with assistance from the federal government. When cars replaced horses and
Having the ability to know what the best decision is in any given scenario sounds like a superpower. What may surprise you is that this “superpower” already exists. SAS calls it intelligent decisioning. Decisioning is a powerful tool in the business world. It is useful to both the company and
시각화 분석을 위해서는 빅데이터를 활용할 수 있어야 하며, 시각화 및 고급 분석, 셀프 서비스, 리포팅 기능을 갖춰야 합니다. 아울러 데이터 핸들링, 분석, 리포트 생성에 이르는 전 과정에서 인사이트를 확보하고자 하는 모든 이들이 자유롭게 사용할 수 있어야 합니다. SAS AI 기반의 시각화 솔루션은 완전 초보자도 자동 추천과 자동 예측 기능을 사용하여
AutoML은 최근 몇 년간 가장 빠르게 진화하는 AI기술중 하나입니다. AutoML은 시티즌 데이터 사이언티스트는 물론 데이터 사이언티스트도 더 빨리 더 많은 모델을 구축하고, 모델의 정확도를 개선하여 보다 생산적인 과제에 집중할 수 있게 합니다. 이를 통해 기업은 조직 전반에 업무 효율성과 전문성을 강화할 수 있습니다. SAS AutoML 플랫폼의 핵심은 분석 라이프사이클 프로세스
Dutch project aims to increase safety of gall bladder surgery Predictive models and medical image analysis have the potential to transform health care delivery today. To accelerate the innovative approaches, teams around the world are converging in a global hackathon as organized by SAS to advance the field of health
Artificial intelligence evokes high hopes. It can streamline processes, improve quality and eliminate the potential for human error. Along with the hopes come the fears, however. Is AI a threat to humanity? Whom will it replace, if anyone? How can we deploy it ethically? We spoke to the SAS Head
지난해는 전례없는 코로나19 대유행으로 전 세계의 각국 정부 및 기업은 코로나19로 인한 위기를 극복하고자 디지털 트랜스포메이션을 통한 혁신을 가속화한 한 해였습니다. 불확실성 속에 찾아온 2021년, SAS의 여러 전문가들은 2021년 데이터 분석 트렌드를 인공지능(AI), 클라우드, 백신 등의 키워드를 통해 전망했습니다. 2021년 주목해야 할 데이터 분석 8가지 트렌드를 소개합니다. 기업의 임원들이 AI를
