Artificial Intelligence

Discover how AI is used today and how it will augment human experience in the future

Advanced Analytics | Artificial Intelligence | Data Management | Machine Learning
Josefin Rosén 0
What every business manager should know about algorithm audits

Algorithm audit is a growing area as companies increasingly rely on machine learning algorithms to make decisions. But what do business managers need to know about these audits? We have a responsibility to audit our algorithms Artificial intelligence (AI) algorithms have an increasingly central role in decision making in our

Analytics | Artificial Intelligence
Michał Kudelski 0
Sztuczna inteligencja coraz mniej „sztuczna” – rozpoznawanie obrazów

Niemal każdego dnia słyszymy doniesienia o nowych osiągnięciach w dziedzinie sztucznej inteligencji i uczenia maszynowego. Co prawda, do stworzenia odpowiednika ludzkiej inteligencji w sensie szerokim i ogólnym trochę nam jeszcze brakuje, ale coraz częściej maszyny są w stanie rozwiązywać problemy, z którymi do niedawna jedynie człowiek mógł sobie poradzić.

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
Algorithmic marketing attribution and conversion journey analysis [Part 3]

In Part 1 and Part 2 of this blog posting series, we discussed: Our current viewpoints on marketing attribution and conversion journey analysis in 2017. The selection criteria of the best measurement approach. Introduced our vision on handling marketing attribution and conversion journey analysis. We would like to conclude this

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning
Malcolm Lightbody 0
Algorithmic marketing attribution and conversion journey analysis [Part 2]

In Part 1 of this blog posting series, we discussed our current viewpoints on marketing attribution and conversion journey analysis in 2017. We concluded on a cliffhanger, and would like to return to our question of which attribution measurement method should we ultimately focus on. As with all difficult questions

Analytics | Artificial Intelligence
Mary Beth Moore 0
Embracing analytics: A path forward for the intelligence community

The intelligence community needs to revamp its approach to analytics -- and that means creating an analytics strategy that will change the status quo. The challenges facing analysts are consistent throughout the strategic, operational and tactical levels of intelligence operations. The intelligence cycle (see diagram below) is a great teaching

Artificial Intelligence | Customer Intelligence
Tiffany Carpenter 0
Measuring up: robotic process automation versus real-time decision making

Editor's note: Tiffany Carpenter, Head of Customer Intelligence, SAS UK & Ireland sizes up the benefits of the two technologies and offers up a solution to businesses wanting the best of both. With constant pressure on profit margins, organisations need to strike a balance between improving cost efficiencies and customer

Advanced Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning
Suneel Grover 0
Algorithmic marketing attribution and conversion journey analysis [Part 1]

Everyone has a marketing attribution problem, and all attribution measurement methods are wrong. We hear that all the time. Like many urban myths, it is founded in truth. Most organizations believe they can do better on attribution. They all understand that there are gaps, for example, missing touchpoint data, multiple

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence
Kadir Dindar 0
First things first: Marketing needs data integration in order to benefit from AI

There is a huge amount of buzz and excitement about at the moment, all centering on the potential for artificial intelligence (AI) to transform marketing.  For example, the EIU reports that executives were on board. Three quarters of those surveyed, were reported to be expecting AI to be used in their

Analytics | Artificial Intelligence | Customer Intelligence
David Cosgrave 0
Real-time customer experience: Accessing the whole picture

Real-time customer experience is a vital driver of growth. Acting in real-time, armed with the most up-to-date information about your customer, can hugely improve customer experience. Many of SAS’s customers have generated significant competitive advantage from trying to align closer with the real-life experiences of their customers. But how many

Analytics | Artificial Intelligence | Machine Learning
Scott Batchelor 0
5 questions about artificial intelligence with Intel's Pat Richards

Artificial intelligence promises to transform society on the scale of the industrial, technical, and digital revolutions before it. Machines that can sense, reason and act will accelerate solutions to large-scale problems in myriad of fields, including science, finance, medicine and education, augmenting human capability and helping us to go further,

Artificial Intelligence

5月23日に開催されたSAS Forum Japan 2017の「SAS Viyaディープダイブ」セッションでは、SASのAIに搭載されている画像処理機能が入門レベルとして紹介されました。 セッション内では、皆様にとってもお馴染みの「浅草雷門」の写真を使った画像マッチングのデモも紹介しました。雷門を正面から撮った写真の中から、「雷門の提灯」の部分を切り出し、これをテンプレート画像として使用し、この「雷門の提灯」が写っている写真だけを画像マッチングによって見つけ出すというデモです。 さあ、ちゃんと「雷門の提灯」が写っている写真だけを見つけ出すことができたのでしょうか? 以下は、Jupyter Notebookを使用し、PythonからSAS の画像処理機能を活用してマッチングを実行した結果です。(コードの一部抜粋) 【ライブラリのインポート】 In [16]: # import libraries import swat import matplotlib.pyplot as plt import os import json import numpy as np 【テンプレート画像「雷門の提灯」のロード】 In [24]: # load an image to cas r = conn.image.loadImages(casout={"caslib":"casuser", 'name':tmp_file_data[0], 'replace':True}, path=tmp_file_path) tmpTable = conn.CASTable(tmp_file_data[0]) 【この画像にマッチングさせます】 【マッチング対象画像のロード】

Analytics | Artificial Intelligence

5月23日に開催されたSAS Forum Japan 2017の「SAS Viyaディープダイブ」セッションでは、SASのAIに搭載されている教師なし学習の3つの手法(SVDD(Support Vector Data Description), ロバストPCA, Moving Window PCA)を用いた異常検知の概要が紹介されました。 手法ごとの適用分野やSAS Studioを用いて実行した結果の紹介と、異常検知を業務に適用する際に留意すべき事項も交えてご紹介しています。 詳細(スライド内容)に関しては、以下をご覧ください。(SlideShareに公開済み) SAS Viya で異常検知してみよう! from SAS Institute Japan 詳細(講演ビデオ)に関しては、以下をご覧ください。(YouTubeに公開済み) 今なら無償でSAS Viyaを試用することができます。詳細は以下のブログを参照してください。 SAS Viyaを体感してみよう! ~SAS Viya無償試用版利用ガイド~

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