Discover how AI is used today and how it will augment human experience in the future
Jim Harris shares three more examples of how data quality improves AI in Part 2 of his series.
Profundizar en las expectativas de los clientes se ha convertido en el interés y, de paso, en el mayor desafío para los responsables de las iniciativas de marketing en todo el mundo. Gartner, la reconocida empresa consultora y de análisis de mercados, dice que aquellos líderes de mercadeo que son capaces de incorporar tecnologías exponenciales en el
No es un secreto que el fraude se ha consolidado como uno de los principales obstáculos para el crecimiento de las empresas aseguradoras en todo el mundo. En muchos casos es el freno que impide el cumplimiento de los objetivos de negocio y, en otros, es la amenaza que impacta la rentabilidad
Speak to almost anyone about artificial intelligence, and you’ll likely be met with either a furrowed brow of concerned cynicism or a wide-eyed smile of enthusiasm. AI seems to have this kind of highly polarising effect, certainly on citizens and many organisations who are still, understandably, evaluating how AI will
En un mundo en el que los datos crecen exponencialmente en cantidad –y en variedad y fuentes–, organizarlos y analizarlos para convertirlos en información relevante es el gran desafío para todo tipo de organizaciones, desde gobiernos y multinacionales hasta microempresas El software logró avances gigantescos en este campo y la
I just spent four inspiring days talking to customers about the many ways they are putting analytics into action in their organizations. From computer vision models that interpret medical images to natural language processing models that analyze supply chain records, SAS users are doing ground-breaking work with analytics and AI.
To say Michio Kaku is smart is an understatement. For a science fair in high school, he built a particle accelerator made of 400 pounds of scrap metal. Have you ever watched the TV show, The Big Bang Theory? Sheldon and Leonard support string theory research on the show. Kaku
From the boardroom to your living room, artificial intelligence (AI) is nearly everywhere today. Tipped as the most disruptive technology of all time, it has already transformed industries across the globe. And companies are racing to understand how to integrate it into their own business processes. AI is not a
Phil Simon weighs in on using data to make the most of AI.
Artificial intelligence is the attention-grabbing, overhyped, shiny object that every organization is searching to make use of. Yes, it is overhyped, but it’s also very real and very powerful. “We do not want to add to the hype. We do not want to add to the confusion. We want to
SAS, “금융 리스크 전문가 81%, 인공지능(AI) 기술 효과 누려” 프로세스 자동화·신용 평가·데이터 클렌징 분야에서 가장 큰 AI 도입 효과 나타나 응답자 절반 이상(52%) AI 활용 기술 격차 체감 2019년 4월 24일, 서울 – 세계적인 분석 선두 기업 SAS(www.sas.com/korea)와 국제재무위험관리전문가협회(GARP, Global Association of Risk Professionals)가 발표한 ‘금융권 리스크 관리 분야의 인공지능
A record-breaking crowd of more than 5,500 analytics enthusiasts received a Texas-sized welcome from CEO Jim Goodnight as he opened SAS® Global Forum 2019. This is the fourth time the forum has been held in Dallas, and this year, the evening started with a look back at one of the
"Practical AI" might seem like an oxymoron to some. But that’s only if you view artificial intelligence as a futuristic and unrealistic pursuit. Kirk Borne, PhD, decidedly does not. Borne is the Principal Data Scientist and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton. In this
There is a lot of excitement about artificial intelligence (AI), and also a lot of fear. Let’s set aside the potential for robots to take over the world for the moment and focus on more realistic fears. There is a growing acceptance that AI will change how we work. There
Datenmanagement alles andere als eine neue Disziplin. Dennoch verändert sich der Umgang mit Daten angesichts neuer Technologien wie künstliche Intelligenz (KI) und Machine Learning ebenso sehr wie die Analyse dieser Daten. Heute hat so ziemlich jedes Unternehmen moderne Datenmanagement-Werkzeuge im Einsatz, doch die angewandten Praktiken und Strategien stammen vielfach noch
If a bank gets in touch with a software company and wants to know how it could use artificial intelligence (AI), that means two things. First, the bank is willing to consider AI, and second, that it really does not know much about the subject. Banks want AI, and they
Ante el riesgo de simplificar en exceso, considero que la Inteligencia Artificial (IA) es lo que se vuelve posible después que se ha adoptado totalmente el uso de la analítica y es posible tener mayor audacia sobre cómo utilizarlo para tomar mejores decisiones. Sus modelos mejoran, sus predicciones son más
L’intelligence artificielle, dont les prémices remontent aux années 1950, se concrétise déjà depuis une dizaine d’années dans le secteur de la santé. Les applications de l’IA dans les hôpitaux apportent de nombreux bénéfices aux patients, équipes médicales et établissements de santé. Jean-François Gourdin, responsable du secteur santé chez SAS, épidémiologiste
Anti-money laundering has been an issue for banks and financial institutions for some time. Transaction monitoring systems have been around for many years. Meeting and complying with regulations at the regional or national level, however, remains a challenge. Many financial institutions are almost playing catch-up with regulators, as anti-money laundering
Anti-money laundering is an important issue for governments and banks alike. The fight to prevent terrorist financing and profiting from crime means that banks and other financial institutions are increasingly required by regulations to put anti-money laundering systems in place. Many are turning to analytics in the process, and particularly to
At the risk of oversimplifying, I think of artificial intelligence as what becomes possible after you’ve fully embraced analytics and you’re starting to get bolder about how to use it. Your models are getting better, your predictions are more accurate, your results are stronger and over all, confidence grows in
Jim Harris shares examples of how and why AI applications are dependent on high-quality data.
Natural language understanding (NLU) is a subfield of natural language processing (NLP) that enables machine reading comprehension. While both understand human language, NLU goes beyond the structural understanding of language to interpret intent, resolve context and word ambiguity, and even generate human language on its own. NLU is designed for
The recently released results of a new joint survey from SAS and the Global Association of Risk Professionals (GARP) on the use of AI in risk management makes for very interesting reading. Here are the highlights from the study, which involved more than 2,000 participants from across the global financial
Structuring a highly unstructured data source Human language is astoundingly complex and diverse. We express ourselves in infinite ways. It can be very difficult to model and extract meaning from both written and spoken language. Usually the most meaningful analysis uses a number of techniques. While supervised and unsupervised learning,
There's been a lot of hype regarding using machine learning (ML) for demand forecasting, and rightfully so, given the advancements in data collection, storage, and processing along with improvements in technology. There's no reason why machine learning can't be utilized as another forecasting method among the collection of forecasting methods
¿Han visto la película Minority Report? En esta se presentan algunas escenas en las cuales John Anderton entra a un centro comercial y mediante el “Sistema de reconocimiento óptico de la ciudad”, la pantalla de publicidad le saluda por el nombre y luego le hace ofrecimientos personalizados de productos. Para
I recently reacquainted myself with this excellent Executives Guide to AI from our friends at McKinsey & Company. The authors have distilled a complex topic into something easily digestible while avoiding jargon and hyperbole. While not in the CliffsNotes or Bluffer’s Guide category, this Insights article undoubtedly helps the reader
SAS, 향후 3년간 AI 분야 10억 달러 투자 계획 발표 R&D 혁신 교육 및 전문가 컨설팅 지원 통해 기업 AI 역량 강화 국내에서도 AI 전문가 교육 프로그램 제공… 인재 양성 및 분석가 저변 확대 2019년 3월 28일 – 세계적인 분석 선두 기업 SAS(www.sas.com/korea)가 향후 3년간 인공지능(AI) 분야에 총 10억 달러(한화 약
Virtual reality (VR), augmented reality (AR), eXtended reality (XR), mixed reality (MR), spatial augmented reality, hybrid reality. That's a lot of new technology and a lot of acronyms for a philosophical concept that has been pondered for millennia: what is reality? An intelligent reality is a technologically enhanced reality that
