Reflections on the data-related challenges of today and tomorrow
.@philsimon chimes in about data-related accomplishments and challenges.
Search Results: Visual Analytics (1744)
Innovation at scale: The need for immersive experiences
Analytics-led innovation has become essential to respond to the rapidly evolving digital economy and associated consumer expectations. A preliminary reading of our Innovation at Scale study suggests that it is essential to access data across internal silos and organisational boundaries. Part of the solution is innovation spaces that encourage collaboration
Über die aktuelle Rolle, die das IoT für Unternehmen spielt
Um sich bei IoT-Projekten einen gewissen Erfolg zu sichern, gewinnt die Zusammenarbeit für verschiedenste Unternehmen aus vielfältigen Bereichen immer mehr an Bedeutung. So müssen beispielsweise für die Implementierung einer smarten Produktionsumgebung Hardware-, Software- und Infrastrukturhersteller gemeinsam Know-how entwickeln und anwenden. Das E4TC am Campus der RWTH Aachen beschäftigt sich mit
So what is a data scientist?
The concept of analysing increasingly complex data to inform decision making is very relevant to policing today. Data science can and should support modern police forces to serve their communities. But what do we mean by data science and data scientists? One dictionary definition of a data scientist is: “a
Our Storytellers: Selena Mau
You know those movies where the two friends learn only years later that the perfect relationship they were looking for was right in front of them the whole time? It’s been kind of the same for me during my time here at SAS... well, minus the romance. When I joined
The power of AI is undeniable, but can they replace call centres?
When we hear the words AI and call centres, we immediately imagine dialling a number, only to be greeted by a semirobotic voice (think Siri or Google). While it’s true that AI can be more efficient than humans (at some things), does it really mean that human call centre agents
Combating Insurance Fraud With Machine Learning
Most insurance companies depend on human expertise and business rules-based software to protect themselves from fraud. However, people move on. And the drive for digital transformation and process automation means data and scenarios change faster than you can update the rules. Machine learning has the potential to allow insurers to
2019 상반기 글로벌 분석 전문가들의 SAS 평가 리포트를 공유합니다
SAS는 매년 IDC(International Data Corporation), 가트너(Gartner), 포레스터 리서치(Forrester Research, Inc.) 등 세계적인 분석 기관 및 시장 조사 업체로부터 SAS의 제품과 전략, 시장 경쟁성 등 여러 측면에서 평가를 받고 있습니다. 이러한 애널리스트들의 평가와 조언은 기술 구매를 고려하는 고객들은 물론 SAS의 발전과 혁신에도 큰 도움이 됩니다. 올해 상반기 SAS는 전문가들로부터 어떤 평가를
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Submit your ideas for SAS Global Forum 2020, and share your knowledge with SAS users worldwide.
Tuning in to the voice of the customer in real time is easier than you think
For many years now, companies have been seeking to understand the views of their customers by asking them for direct feedback. Market research, in the form of interviews or focus groups, has tried to understand customers’ wants and needs. And who has not sighed as yet another recorded voice informed
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Um es mit Stephen Hawking zu sagen: „Intelligence is the ability to adapt to change". Das wissen vor allem auch die Digitalisierungsverantwortlichen von Versicherungen. Und wenn wir über den Einsatz von künstlicher Intelligenz in einer eher risikoaversen und sich langsam ändernden Branche nachdenken, dann gilt dieser Satz umso mehr. Denn
SAS Event Stream Processing on SAS Cloud - my journey
In a previous post, Zero to SAS in 60 Seconds- SAS Machine Learning on SAS Cloud, I documented my experience with a SAS free trial on the SAS Cloud. Well, the engineers at SAS have been busy and created another free trial. The new trial covers SAS Event Stream Processing
Building a recommendation engine with SAS
How we built a recommendation engine for new topics on communities.sas.com. We used data, machine learning, and DevOps to build a scoring engine with SAS.
Del Apollo11 a la transformación digital
Estamos viviendo un momento histórico. Tal y como lo recuerda nuestro CEO, Jim Goodnight, 2019 es especial porque se cumplen 50 años de la llegada del hombre a la luna. En ese entonces, se necesitaron 400.000 científicos, técnicos, matemáticos e ingenieros para convertir la idea de aterrizar en la luna
How do I explain a flat-line forecast to senior management?
How do you explain flat-line forecasts to senior management? Or, do you just make manual overrides to adjust the forecast? When there is no detectable trend or seasonality associated with your demand history, or something has disrupted the trend and/or seasonality, simple time series methods (i.e. naïve and simple
AI 분석으로 제조업을 혁신하다: ‘SAS 제조 이노베이션 포럼 2019’
지난 7월 4일 SAS코리아는 광화문 포시즌스호텔에서 국내 제조 산업 관계자를 대상으로 ‘SAS 제조 이노베이션 포럼 2019(SAS Manufacturing Innovation Forum 2019)’을 성공적으로 개최했습니다. SAS는 이번 포럼에서 미국, 독일, 일본 및 국내 제조사들의 고객 사례를 통해 ▲글로벌 B2B 업계의 예측 자산 유지보수 ▲제품 품질 및 투자 수익(ROI) 개선 ▲수요 예측을 통한 생산/판매
What's your (computer) vision of AI?
Some people still associate artificial intelligence (AI) with robots taking over the world. There's a lot of hype around self-driving cars and personal robots. However, there are far more realistic and beneficial examples of AI in everyday life. AI is the science of training systems to emulate human tasks through
Our Storytellers: Alli Soule
I never took calculus. I can’t code. I have no industry expertise in supply chains or Basel III. My most lengthy study of AI is watching Bernard reanimate Dolores on Westworld. Based on the above, you could make the argument that I have no place in an analytics company. But
Convolutional Neural Networks: Briefly
Neural networks, particularly convolutional neural networks, have become more and more popular in the field of computer vision. What are convolutional neural networks and what are they used for?
AI in the Health Care Industry
Technological advancements are changing every industry – and the health care industry is no exception. The value of AI has never been greater than when it’s used to improve patients’ conditions and save lives. For example, Cancer Center Amsterdam joined forces with SAS to improve patient care outcomes with AI.
La banca incorpora analítica para garantizar su flexibilidad y capacidad de crecimiento
El análisis de la información en las empresas ha dejado de ser un elemento opcional para convertirse en uno fundamental que puede ser la diferencia entre mantenerse competitivo o salir del mercado. Como ejemplo, los analistas de KPMG han demostrado, a través de un estudio-consulta, que el 33% de las
What can we learn from Clippy about AI?
Interestingly enough, paperclips have their own day of honor. On May 29th we celebrate #NationalPaperclipDay! That well-known piece of curved wire deserves attention for keeping our papers together and helping us stay organized. Do you remember who else deserved the same attention? Clippit – the infamous Microsoft Office assistant, popularly known as ‘Clippy’.
How machine learning drives image recognition for proactive asset maintenance
It can be hard to get a handle on what artificial intelligence (AI) and machine learning (ML) will actually do. We all understand – in theory, at least – that they could change the way we live and work. In most cases and for most of us, however, the precise
Sentiment Analysis using DeepRNN Action Set
In this blog, I use a Recurrent Neural Network (RNN) to predict whether opinions for a given review will be positive or negative. This prediction is treated as a text classification example. The Sentiment Classification Model is trained using deepRNN algorithms and the resulting model is used to predict if new reviews are positive or negative.
3 ejemplos inspiradores de la Analítica en Acción compartidos en #SASGF
Para quienes trabajamos en el mundo de la analítica, nos resulta cada vez más sencillo explicar cuál es el impacto social de nuestro trabajo y por qué el desarrollo de esta ciencia -que tomamos profesionalmente- es un tema que nos apasiona tanto. Nosotros sabemos que la analítica es capaz de cambiar el
Digitale Jagdsaison: höhere Margen für Aktuare
Nach Lust und Laune scheinen Versicherer die Jahresprämien ihrer Policen in schöner Regelmäßigkeit zu erhöhen. Wenn der zweimal gefalzte Brief so unschuldig im Kasten auf Öffnung wartet, möchte man am liebsten gar nicht reinschauen. Michael Rabin, Versicherungsexperte mit analytischem Weitblick, hat sich bereit erklärt, hier und jetzt eine Lanze für
The bots: The new wave of the 4th industrial revolution
What if, apart from the new organisation of production assets, the fourth industrial revolution also implies a significant evolution in the knowledge management intrinsic to each domain? What if new digital technologies allow the operational actors to simply access this knowledge, mostly derived from empirical methods, thanks to analytical methods and
New AI offerings highlight many free ways to learn SAS
SAS Viya for Learners offers free access to AI and machine learning software for higher education teaching and learning, hosted in a new learning portal by SAS.
Getting practical about AI with Kirk Borne
"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
How to improve data accuracy
Phil Simon says that the downsides of even a few discrepancies can be enormous.