Analytics | Artificial Intelligence

Andreas BecksJanuary 17, 2019 0

KI und Ethik: Warum Unternehmen sich damit beschäftigen

Wenn wir über künstliche Intelligenz (KI) und Ethik sprechen, dann beziehen wir uns nicht in erster Linie auf dystopische Anwendungen, in denen ein autonomer Roboter stur und ohne menschliche Kontrolle in Terminator-Manier Entscheidungen über Leben und Tod trifft. Das soll natürlich nicht heißen, dass ein kritischer Diskurs zum Beispiel über

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German

Artificial Intelligence | Machine Learning

Christina HsiaoJanuary 16, 2019 0

Reduce the cost-barrier of generating labeled text data for machine learning algorithms

Amidst the growing popularity of modern machine learning and deep learning techniques, one of the biggest challenges is the ability to obtain large amounts of training data suitable for your use case. This post discusses how the analytical approach for Named Entity Recognition (NER) can help.

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English

Advanced Analytics | Analytics | Artificial Intelligence

Cameron McLauchlinJanuary 15, 2019 0

How are AI and advanced analytics transforming health and life sciences?

The potential for artificial intelligence (AI) and the Internet of Things (IoT) to transform the way health care and therapies are delivered is tremendous. It’s not surprising that the health care and life sciences industries are being flooded with information about how these new technologies will change everything. While it’s

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English

Health Care | Life Sciences

Artificial Intelligence

Roderick CrawfordJanuary 15, 2019 0

What lies behind the AI hype for governments?

So much debate still rages about Artificial Intelligence (AI) and what it means for the future of society and humanity. While this continues, governments around the world are actively embracing the prospect of transforming their departments into smart digital governments that are able to deliver improved services to organisations and

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English

Government

Analytics | Artificial Intelligence | Students & Educators

Anita LakhotiaJanuary 15, 2019 0

Myth-busting: was macht ein Data Scientist den ganzen Tag?

Diese Frage bekomme ich von Nicht-Data-Scientists immer häufiger gestellt. Und es ranken sich viele Meinungen und Mythen um diese Expertengruppe. Genau aus diesem Grund habe ich mich mit Simon Greiner, einem angehenden Data Scientist und erfahrenen IT-Berater, unterhalten. Ein Mythos über Data Scientists: sie lesen keine Bücher mehr. Stimmt nicht!

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German

Analytics | Artificial Intelligence | Customer Intelligence

Greg HeidrickJanuary 14, 2019 0

IoT applications in retail: the supply chain

This Is the latest installment in my series of posts dedicated to describing IoT applications in retail. Why do I want retailers to move more quickly in their widescale adoption of IoT in the coming year? Because I'm confident they'll see results, and these use cases help explain how. As

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English

Retail

Analytics | Artificial Intelligence | Data Visualization | Machine Learning | Programming Tips

Melanie CareyJanuary 14, 2019 0

How SAS Visual Analytics' automated analysis takes customer care to the next level - Part 3

In the second of three posts on using automated analysis with SAS Visual Analytics, we used the automated analysis object to get a better understanding of our variable of interest, X-Sell and Up-sell Flag, and how it is influenced by other variables in our dataset. In this third and final

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English

Advanced Analytics | Artificial Intelligence | Internet of Things

Christian GoßlerJanuary 14, 2019 0

Bolschewistische Rotationsbeschleunigung im Internet of Tumble (IoT8)

„Für mich heißt Internet of Things, dass hier alles rotiert wie in einem Wäschetümmler und es weder Durcheinander noch Stillstand gibt.“ Frau Dönmek hatte Lenin und mich am Werkstor in Cedorf abgeholt und uns gleich in die Halle zu ihrer Anlage geführt: „Wir arbeiten an der Kapazitätsgrenze. Was wir wegen

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German

Manufacturing

Advanced Analytics | Artificial Intelligence | Machine Learning

Katherine TaylorJanuary 10, 2019 0

Practical AI in banking

AI seems to be mentioned everywhere these days. But how can AI be used in day-to-day work? Here, Katherine Taylor explains an example of "practical AI" in banking using SAS Visual Data Mining and Machine Learning. She'll explore more business problems and industries in future posts.

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English

Analytics | Artificial Intelligence | Data Visualization | Machine Learning | Programming Tips

Melanie CareyJanuary 7, 2019 0

How SAS Visual Analytics' automated analysis takes customer care to the next level - Part 2

In the first of three posts on using automated analysis with SAS Visual Analytics, we explored a typical visualization designed to give telco customer care workers guidance on customers most receptive to upgrade their plans. While the analysis provided some insight, it lacked analytical depth -- and that increases the risk of  wasting time, energy and

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English

Communications

Analytics | Artificial Intelligence | Data Visualization | Machine Learning | Programming Tips

Melanie CareyJanuary 2, 2019 0

How SAS Visual Analytics' automated analysis takes customer care to the next level - Part 1

You're the operations director for a major telco's contact center. Your customer-care workers enjoy solving problems. Turning irate callers into fans makes their day. They also hate flying blind. They've been begging you for deeper insight into customer data to better serve their callers. They want to know which customers

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English

Communications

Analytics | Artificial Intelligence | Internet of Things | Machine Learning

Javier Alexander RengifoDecember 21, 2018 0

El análisis predictivo: impactando los negocios y sus procesos de transformación digital

La tecnología y la sociedad están evolucionando en un entorno digital que exige cambios en el modelo de negocio, la infraestructura y la cultura de una organización. Sin embargo, uno de los mayores retos a los que se están enfrentando las empresas en este momento se basa en el desconocimiento

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Spanish

Communications | Education

Analytics | Artificial Intelligence

Michael RabinDecember 21, 2018 0

Das moderne Aktuariat: Warum KI und Tempo künftig Umsatz bringt

Die Versicherungsbranche (Aktuariat) ist ein langer, ruhiger Fluss, auf dem träge Dampfer kreuzen. Sagen die einen. Sie ist ein Haifischbecken, das nur die stärksten überleben. Sagen die anderen. Recht haben sie beide. Denn zum einen ist der Versicherungsmarkt ganz klar ein reifer Markt, in dem der Handlungsspielraum für die einzelnen

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German

Insurance

Analytics | Artificial Intelligence | Internet of Things | Machine Learning

Bryan SaundersDecember 20, 2018 0

AIoT helps move transportation forward

By now, we're all aware of the seismic shift occurring across industries as a result of the Internet of Things. But do we all see the changes in the same light? From where I sit, there's still a wide gap in viewpoints and perspectives.  In its simplest form, we often

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English

Insurance | Travel

Analytics | Artificial Intelligence | Data Management

John MaynardDecember 13, 2018 0

4 ways the data revolution is changing government

The data revolution is causing disruption everywhere. Even governments are feeling the effects. While the public sector may be less prepared for the impending changes, government has good reasons to embrace the data revolution. First, governments have been collecting data for years. They have lots of data. This supports programs,

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English

Government

Artificial Intelligence

Makoto Unemi (畝見 真)December 10, 2018 0

SAS Viya：RNNでsin波を予測してみた

PythonからSAS Viyaの機能を利用するための基本パッケージであるSWATと、よりハイレベルなPython向けAPIパッケージであるDLPyを使用して、Jupyter NotebookからPythonでSAS Viyaのディープラーニング機能を使用した時系列予測を試してみました。  大まかな処理の流れは以下の通りです。 １．必要なパッケージ（ライブラリ）のインポート ２．Sin波データの生成 ３．セッションの作成 ４．RNN向け時系列データセットの作成 ５．モデル構造の定義 ６．モデル生成（学習） ７．予測  １．必要なパッケージ（ライブラリ）のインポート swatやdlpyなど、必要なパッケージをインポートします。 import numpy as np import pandas as pd import matplotlib.pyplot as plt import swat.cas.datamsghandlers as dmh from swat import * import dlpy from dlpy import Sequential from dlpy.layers import * from dlpy.model import Optimizer, AdamSolver, Sequence

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Japanese

Artificial Intelligence

Joao OliveiraDecember 6, 2018 0

The Ultimate Paradox: Using Artificial Intelligence to Validate Ethics Compliance for AI Models and Triggered Decisions

Considering the growing amount of data available and the rise of edge computing, we can expect rapid growth for AI and decisions on the edge (addressed in AI on the edge will kick IoT market adoption, not 5G). All of this influences how we can cope with the speed of

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English

Artificial Intelligence

Simon DennisDecember 4, 2018 0

Artificial Intelligence: Could it help solve the Irish soft border conundrum?

The question of what happens to the border between Northern Ireland and the Republic of Ireland as the UK leaves the European Union is one of the most taxing challenges affecting the Brexit negotiations. Artificial Intelligence (AI) is not something that magically produces an answer to every difficult question –

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English

Government

Artificial Intelligence | Customer Intelligence

Gerhard SvolbaDecember 4, 2018 0

Real-Time Scoring und Customer Behavior Analysis: Das konnte Frau Cerny schon in den 1970er Jahren!

Nicht erst im Zeitalter von künstlicher Intelligenz (KI) und Real-Time Decision Engines werden historische und aktuelle Verhaltensweisen von Kunden analysiert. Die Praxis, anhand dieser Informationen Entscheidungen zu treffen und sie in Echtzeit auf die Kundeninteraktion anzuwenden, gab es bereits in den 1970er-Jahren. Frau Cerny betrieb den Lebensmittelladen im Wohnhaus meiner

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German

Retail

Analytics | Artificial Intelligence

Nico BüttnerDecember 3, 2018 0

KI in Computerspielen und was sie uns über KI in der Geschäftswelt lehren kann

Ich muss gestehen: ich bin leidenschaftlicher Gamer. Man könnte auch sagen, ein „Nerd“. Ich liebe Computerspiele, nicht nur, sie zu spielen, sondern ich möchte auch wissen, wie sie gemacht werden, wie sie funktionieren und wohin die Entwicklung in Zukunft führen wird. Ganz besonders interessiert mich, wie künstliche Intelligenz in Spielen

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German

Artificial Intelligence | Machine Learning

Antonio AutorinoNovember 30, 2018 0

Intuito e curiosità come driver per la creazione di nuovi significati

Incontrare Roberto Verganti in occasione di Analytics Experience 2018 è stata una grande emozione. E' un enorme piacere ascoltare dal vivo questo professore del Politecnico di Milano, che dal palco trasmette la stessa energia che ritroviamo nei suoi libri. Ho sentito parlare per la prima volta di lui nel 2010 quando

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Italian

Artificial Intelligence

Nico BüttnerNovember 28, 2018 0

What AI in games can teach us about using AI at work

I have a confession to make. I’m a gaming enthusiast. Possibly even a gaming nerd. I really love computer games, and not just to play them. I’m interested in how they are made, how they work, and how they might develop in future. I’m particularly interested in how artificial intelligence

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English

Artificial Intelligence

Kayne PutmanNovember 28, 2018 0

Computers get image-conscious

A picture paints a thousand words – to humans, at least. Traditionally, however, images have made little sense to computers, which have no conception of the meaning behind the strings of code that make up a digital image. Of course, some computers have long had the ability to identify and

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English

Artificial Intelligence | Learn SAS | Machine Learning | SAS Events

Charu ShankarNovember 28, 2018 0

3 things you need to know about SAS Global Forum 2019 from the conference chair

Find out what SAS Global Forum 2019 conference chair MaryAnne DePesquo says about the upcoming conference in Dallas.

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English

Artificial Intelligence | Machine Learning

Antonio AutorinoNovember 27, 2018 0

How curiosity and criticism drive the generation of new meanings

Listening to Roberto Verganti at Analytics Experience 2018 was a great experience. It is an enormous pleasure to watch this professor from Milan Polytechnic, who transmits the same energy in person that he puts into his books. I first came across him in 2010, when thanks to SAS, I took

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English

Artificial Intelligence

Keld ZornigNovember 22, 2018 0

AI in banking: Creating the best customer experience every time

A recent survey by Forbes found that 73 percent of organisations are already piloting, experimenting or planning to deploy artificial intelligence (AI) algorithms. AI is driving a transformation across industries. In banking, for example, natural language processing is being used to explore sources of unstructured data such as customer comments,

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English

Banking

Analytics | Artificial Intelligence | Machine Learning

Makoto Unemi (畝見 真)November 21, 2018 0

SAS Viya：一般物体検出（Object Detection）を試してみた

PythonからSAS Viyaの機能を利用するための基本パッケージであるSWATと、よりハイレベルなPython向けAPIパッケージであるDLPyを使用して、Jupyter NotebookからPythonでSAS Viyaの機能を使用して一般物体検出（Object Detection）を試してみました。  今回は、弊社で用意した数枚の画像データを使用して、処理の流れを確認するだけなので、精度に関しては度外視です。  大まかな処理の流れは以下の通りです。 １．必要なパッケージ（ライブラリ）のインポートとセッションの作成 ２．一般物体検出向け学習用データの作成 ３．モデル構造の定義 ４．モデル生成（学習） ５．物体検出（スコアリング）  １．必要なパッケージ（ライブラリ）のインポートとセッションの作成 swatやdlpyなど、必要なパッケージをインポートします。 from swat import * import sys sys.path.append(dlpy_path) from dlpy.model import * from dlpy.layers import * from dlpy.applications import * from dlpy.utils import * from dlpy.images import ImageTable   from dlpy.splitting import two_way_split from dlpy.blocks import *

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Japanese

Artificial Intelligence | Customer Intelligence

Gerhard SvolbaNovember 21, 2018 0

Real-Time Scoring and Customer Behaviour Analysis Are Not New! Mrs. Cerny Applied These Methods Decades Ago

The epoch of artificial intelligence and real-time decision engines is not the first time that historical and actual behaviour of customers has been tracked and analysed. The practice of making decisions based on these findings and applying them in real time to customer interactions was already going on in the

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English

Retail

Artificial Intelligence | Internet of Things

David TareenNovember 21, 2018 0

AI and IoT, better together to accelerate digital transformation

Burger and fries, wine and cheese, peanut butter and jelly … some things just go better together. For organizations embarking on digital transformation, AI and IoT just go better together. These two distinct technologies; AI and IoT (or AIoT) are a natural fit. To take an analogy from the human

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English

Artificial Intelligence

Dave SmithNovember 19, 2018 0

The devil’s in the data: processing data for successful AI

AI is everywhere these days, whether in reality or just as a hyped-up label for some simple rules based decisioning, and this has led to some interesting problems. The first of these is mistrust, as noted by the incoming president of the British Science Association, Professor Jim Al-Khalili: “There's a

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English