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Machine Learning

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Analytics | Artificial Intelligence | Machine Learning

Mauricio GonzálezApril 24, 2018 0

Analítica, automatización e inteligencia impulsan la modernización del sector salud

Recientemente, el Instituto Mexicano del Seguro Social (IMSS) llevó a cabo la segunda edición de las Olimpiadas de la Innovación, evento en el que se reunieron las autoridades sanitarias, prestadores de servicios y empresas de tecnología para conocer los avances que hacen posible prestar una atención segura, efectiva, oportuna y

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Government | Health Care

Artificial Intelligence | Machine Learning

Olivier ZaechApril 20, 2018 0

The coming wave of AI-driven life sciences innovation

Much of the current artificial intelligence (AI) buzz is around applications like Alexa and Siri, or the use of chatbots in financial services or retail. There is far less talk about what might be possible in life sciences and healthcare with the application of AI, although companies are starting to

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Health Care | Life Sciences

Analytics | Fraud & Security Intelligence | Internet of Things | Machine Learning

David PopeApril 19, 2018 0

Three utility use cases show the value of analytics

When I was in Denver for SAS Global Forum 2018, one of our customers asked me for three use cases that show strong return on investment for analytics in today's electric utility industry. Since our energy team has identified at least 125 separate use cases that show how analytics can

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Energy & Utilities

Analytics | Artificial Intelligence | Fraud & Security Intelligence | Machine Learning

Héctor CoboApril 17, 2018 0

SAS Global Forum: Los datos se transforman en inteligencia

La fortaleza que tiene la analítica ahora es la revolución de las tecnologías como la inteligencia artificial (IA) y el aprendizaje automático. Esta amalgama de innovaciones le da a las empresas, de todas las industrias, la oportunidad de llevar a cabo las percepciones que obtienen de sus datos a una

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Health Care | Insurance | Manufacturing | Retail

Advanced Analytics | Artificial Intelligence | Machine Learning

Charlie ChaseApril 17, 2018 0

How machine learning is disrupting demand planning

If you think machine learning will replace demand planners, then don’t read this post. If you think machine learning will automate and unleash the power of insights allowing demand planners to drive more value and growth, then this article is a must read.

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Manufacturing | Retail

Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning

John HawkinsApril 13, 2018 0

Energy and electricity, market disruption and new dynamics

There is general agreement that the electricity and energy market is changing in a wide variety of ways. There is, however, less agreement on the likely effects of these changes. This makes it extremely hard for energy companies to know precisely where to target investment, but there are ways of

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Energy & Utilities

Analytics | Artificial Intelligence | Machine Learning

Künstliche Intelligenz

Andreas BecksApril 9, 2018 0

Künstliche Intelligenz im Reality-Check: Potenziale, Grenzen, organisatorische und gesellschaftliche Konsequenzen

Gartner geht davon aus, dass dank künstlicher Intelligenz (KI) bis 2025 zwei Millionen neue Arbeitsplätze geschaffen werden. KI und Machine Learning sind in vielen Unternehmen bereits heute wichtiger Bestandteil von Geschäftsprozessen und Unternehmensbereichen. Sie erleichtern den Arbeitsalltag, optimieren die Interaktion mit Kunden, sagen den Ausfall einer Maschine zuverlässig vorher oder

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Analytics | Artificial Intelligence | Internet of Things | Machine Learning

Mauricio GonzálezApril 5, 2018 0

Transformemos México, la analítica al servicio de gobiernos y ciudadanos

México se encuentra inmerso en la mayor transformación de su historia. Sin importar la inclinación política del gobierno en el poder, las instituciones clave para el desarrollo del país –gracias a su autonomía- innovan a fin de proveer mejores servicios a la ciudadanía y elevar la transparencia de sus operaciones.

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Government | Health Care

Analytics | Data Management | Machine Learning

valid data management

Andreas GöddeApril 3, 2018 0

You won’t find paradise without valid data management!

Analytically speaking, West Perth is paradise. We know that thanks to the Paradise Found project and my colleague Andreas Becks’ blog posts on the topic. One thing is clear: Without machine learning and analytics, we never would have found this Australian boomtown neighbourhood among 5 million data points collected on

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Advanced Analytics | Data Visualization | Machine Learning

Cindy WangMarch 29, 2018 0

Play with classification of Iris data using gradient boosting

Gradient boosting is one of the most widely used machine learning models in practice. See how to use gradient boosting model for classification in SAS Visual Data Mining and Machine Learning.

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Analytics | Data for Good | Internet of Things | Machine Learning | SAS Events

Gloria CaberoMarch 27, 2018 0

SAS Global Forum, inspiración para hacer lo extraordinario

+Las empresas de todo el mundo están cambiando radicalmente su manera de operar y de relacionarse con clientes y socios. Se encuentran en plena transformación digital y capitalizan tendencias clave para evolucionar, como la nube, el Internet de las Cosas, la inteligencia artificial y la analítica, entre otras. De igual

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Banking | Communications | Insurance

Artificial Intelligence | Machine Learning

Iain BrownMarch 22, 2018 0

Banking on AI

Although artificial intelligence (AI) has been around since the 1950s, we are currently riding the peak of the Gartner Hype Cycle. Separating the reality from the hype has therefore become a challenge. There is no question that machines can automate more human tasks than ever before, but with this promise,

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Advanced Analytics | Artificial Intelligence | Machine Learning

Michel Philippens

Michel PhilippensMarch 22, 2018 0

Paradise Found road show: AI and machine learning for all to see

The democratisation of analytics is apparent when you consider who is involved these days. SAS has been doing statistical analysis for 40 years (without the aid of big data in the early days) and had algorithms for machine learning in its portfolio long before machine learning was a buzzword. In

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Advanced Analytics | Analytics | Artificial Intelligence | Data Visualization | Learn SAS | Machine Learning | Students & Educators

Markus GrauMarch 21, 2018 0

Business Analytics: Real-World Use Cases für Universitäten und Hochschulen

In meiner Funktion als Academic Program Manager unterstütze ich Hochschulen in den Themengebieten künstliche Intelligenz (KI), Data Science und Business Analytics. Einer der am häufigsten geäußerten Wünsche ist, dass seitens SAS, Use-Cases zur Verfügung gestellt werden. Keine theoretischen Gebilde, sondern echte, reale Daten von Firmen mit einem handfesten Business-Problem, das

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Advanced Analytics | Machine Learning

Paradise found by using machine learning

Andreas BecksMarch 20, 2018 0

Paradise lost? The data have found it in West Perth

Ever dream of living somewhere that has free public transportation? Or the highest concentration of self-made millionaires? Maybe an area where every resident has the equivalent of five tennis courts of green space, and there are 84,274.6 km of walkways? You can have it all in West Perth! At least

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Analytics | Artificial Intelligence | Machine Learning

Worries around AI

Thomas KeilMarch 12, 2018 0

Interpretability, traceability and clarity - the other AI mandate

Richard David Precht is probably writing a book on Artificial Intelligence as we speak - and it would not be a bad idea if people were able to find out about this subject without having to be specialists themselves. It became clear already in 2017 that AI will affect us all. Whether you believe,

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Advanced Analytics | Artificial Intelligence | Machine Learning

Ilknur Kaynar Kabul

Ilknur Kaynar KabulMarch 9, 2018 0

Understanding and interpreting your data set

Don`t jump into modelling. First, understand and explore your data! This is common advice for many data scientists. If your data set is messy, building models will not help you to solve your problem. What will happen is “garbage in, garbage out.” In order to build a powerful machine learning

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Advanced Analytics | Artificial Intelligence | Machine Learning

brain

David TareenMarch 9, 2018 0

Gartner names data science and machine learning leaders

I bet many of you didn’t even know the term machine learning five years ago. But Gartner did. The Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 2018 was just released, and SAS has been in the leader’s quadrant for five years straight. According to Gartner, “This Magic

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Advanced Analytics | Artificial Intelligence | Machine Learning

Ioannis Stavridis

Ioannis StavridisMarch 1, 2018 0

A question of language: Getting the AI message across

It is always interesting to attend trade shows and find out what’s new. It is also, however, slightly depressing to hear what’s not new, especially when it is an issue that we have been discussing for some time. At the National Retail Federation’s event in New York City recently, I

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Advanced Analytics | Analytics | Artificial Intelligence | Machine Learning

Analytics as a service to the masses

Jos van DongenFebruary 27, 2018 0

Dutch Data Science, Part 5: Notilyze

Part 5 of this series brings us to Rotterdam again, where I met with the two Notilyze founders Colin Nugteren and Tom Dogger. Both of them studied econometrics in Rotterdam, but go back as far as the F4 soccer team they were both playing in as kids. Company overview The

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Internet of Things | Machine Learning

Demand Sensing with Social Media

Charlie ChaseFebruary 26, 2018 0

Is quick response forecasting a reality or just another buzzword?

“Quick response forecasting (QRF) techniques are forecasting processes that can incorporate information quickly enough to act upon by agile supply chains” explained Dr. Larry Lapide, in a recent Journal of Business Forecasting column. The concept of QRF is based on updating demand forecasts to reflect real and rapid changes in demand, both

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Analytics | Internet of Things | Machine Learning

Analítica millennials y centennials

Ariadna SolisFebruary 20, 2018 0

Analítica omnicanal: cómo darle al cliente lo que quiere

Un minorista busca siempre conocer los hábitos de compra y venta de los compradores con los beneficios de los productos, el surtido, las promociones y los precios que se adecúen perfectamente a su estilo de vida. De acuerdo, puede diseñar campañas de marketing más enfocadas, afinar su cadena de suministro,

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Advanced Analytics | Machine Learning | SAS Events

Bill SchmarzoFebruary 14, 2018 0

Data monetization and the economic value of data

How effective is your organization at leveraging data and analytics to power your business models? This question is surprising hard for many organizations to answer. Most organizations lack a roadmap against which they can measure their effectiveness for using data and analytics to optimize key business processes, uncover new business

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Fraud & Security Intelligence | Machine Learning

online payment fraud

Alessandra PalladinoFebruary 9, 2018 0

9 ideas on online payment fraud reduction to consider

Online payment fraud can be a challenging topic. It is not just the payment service provider that is responsible for creating a payment platform that is secure and tamper-proof. The payer, too, needs to be aware of the changing threat landscape and adjust actions and habits accordingly. Regulators have started

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Analytics | Machine Learning

Künstliche Intelligenz

Thomas KeilFebruary 1, 2018 0

Künstliche Intelligenz braucht Interpretierbarkeit, Nachvollziehbarkeit und Kommunikation

Wahrscheinlich schreibt Richard David Precht gerade an einem Buch über künstliche Intelligenz – und es wäre wirklich nicht schlecht, wenn sich möglichst viele Menschen so genau wie möglich über dieses Thema informieren könnten, ohne selbst Spezialist sein zu müssen. Denn, das ist 2017 bereits klar geworden, künstliche Intelligenz betrifft uns

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Analytics | Artificial Intelligence | Machine Learning

Mary Beth Ainsworth

Mary Beth AinsworthFebruary 1, 2018 0

13 Ways to Use AI in Military Intelligence

There are varying degrees of sophistication but most of the data mining, network analysis and mapping technology used over the past decade or more have all been forms of AI. Weapons systems and combat vehicles have been leveraging AI for many years as well. Those men and women on the

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Advanced Analytics | Artificial Intelligence | Machine Learning

Tim ClarkJanuary 26, 2018 0

Take your manufacturing business to the next level with AI

Let’s lay down some fundamentals. In business you want to achieve the highest revenues with the best margins and the lowest costs. More specifically, in manufacturing, you want your products to be the highest quality (relative to specification) when you make the item. And you want it shipped to the

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Advanced Analytics | Data Visualization | Machine Learning

Juthika KharghariaJanuary 25, 2018 0

Using PROC ASTORE to override scoring decisions in SAS® Viya®

If you have worked with the different types of score code generated by the high-performance modeling nodes in SAS® Enterprise Miner™ 14.1, you have probably come across the Analytic Store (or ASTORE) file type for scoring. The ASTOREfile type works very well for scoring complex machine learning models like random

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Analytics | Machine Learning

Thomas KeilJanuary 23, 2018 0

Künstliche Intelligenz 2018: Welcome to the Analytics Economy!

Jahreswechsel bieten sich für Bestandsaufnahmen an. Mit ein wenig Abstand betrachtet fällt mir auf, dass die Spezialisten-Themen „Analytics“, „Big Data“ und vor allem „künstliche Intelligenz“ (KI) längst im publizistischen Mainstream angekommen sind. Täglich erscheinen in allen möglichen Publikumszeitschriften neue Artikel, die zwischen Euphorie und Pessimismus jede Facette anbieten. Grund genug,

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Advanced Analytics | Analytics | Artificial Intelligence | Internet of Things | Machine Learning

Oliver Schabenberger

Oliver SchabenbergerJanuary 18, 2018 0

Two tech trends shaping 2018 and beyond

Technology is changing rapidly: autonomous vehicles, connected devices, digital transformation, the Internet of Things (IoT), machine learning, artificial intelligence (AI), automation. The list goes on. And it has only begun. I am often asked, “What is next for SAS? What will the future of analytics look like in 20 years?”

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