It is a generally accepted maxim in business that you can’t cost-cut your way to success. Growth requires attention to the top line, which in turn is largely driven by innovation. Applying analytics to improving innovation suffers from the same lack of direction as does Analytics for strategy, but with
Do you find yourself on the road during the holidays, and looking for a place to eat that's still open? Or perhaps you're like me - I don't cook at home, and I'm not really into visiting family for the holidays and eating with them. Well then, you probably know
Looking for more festive fun? Try this workout with the whole family! Preppin for the Holidays Workout See you in the New Year!
SAS Model Studio lets modelers use SAS alongside open source to create and compare models in a pipeline and project. Debugging, model comparison, and visual pipelines are included.
Computer vision can augment radiologists and make the image interpretation process cheaper, faster and more accurate. The ultimate goal is to achieve a better patient outcome facilitated by the use of computer vision.
Stefan Jäger, Referent im Büro des Oberbürgermeisters Frankfurt, sprach mit uns über AI-Impulse im Amt und dergleichen Vereine.
The Rise of Skywalker, the final movie in the third set of the three Star Wars trilogies, will finally be released tomorrow (December 20, 2019). That's 9 movies, in about 42 years. And, if the first movies aren't still fresh in your mind (or perhaps you weren't even born when
From sports and health data to environmental and policy data, our data visualization experts have used SAS technologies to explore and present analyses on hundreds of topics throughout the year. We've selected some of the best in this end-of-year roundup to showcase their skills and SAS technologies, and to demonstrate
SAS Japanでは昨年末より”Data for Good”を目指す学生コミュニティ「SAS Japan Student Data for Good Community」を運営しています。このコミュニティは、Data for Goodを題材にデータサイエンスの一連の流れを体験する場として設立されました。今回紹介する勉強会も、その活動の一環です。詳しくは「Data for Goodを通じて"本物の"データサイエンティストになろう！」の記事をご覧ください。 四回目の勉強会ではFood Bankをテーマに、データを活用した課題解決の手法を学びました。 Food Bank Food Bankとは、品質に問題がないにもかかわらず市場で流通出来なくなった食品を、福祉施設などに提供する活動のことです。この取り組みは食に困っている人の支援だけでなく、食品ロスの削減の一翼も担っています。しかしながら、Food Bankの高頻度の利用は自立を妨げることにも繋がりかねず、利用者への適切なサポートが多くのFood Bankで課題となっています。 イギリスのHuddersfieldを拠点とするFood BankのThe Welcome Centre(TWC)もその一つです。利用者のある一部は、日を追うごとにパントリーの訪問回数が増え、依存度を増していくことがTWC内で問題となっていました。とは言うものの、沢山の利用者がいるの中で「誰がFood Bankに依存しているのか」を調査するのは非常に労力のかかる作業です。そこでTWCはDatakind社と共同のプロジェクトを開始し、Analyticsを用いて効率的に依存性の高い人を発見し、優先的なサポートを施すことに挑戦しました。このプロジェクトでは、実際に Food Bankへの依存性を推定する機械学習モデルの構築 依存性の高い人にフラグを立て、優先して支援すべき利用者を可視化する ことに取り組んでいます。詳しい内容はDataKind社の事例紹介(英語)をご覧ください。 解くべき課題を設定する これらの事例を踏まえ、私たちのコミュニティが「日本のFood Bankの課題」に取り組む場合、解くべき課題は何か・解決するために誰のどのような意思決定が必要か・どのようなデータが必要か、ディスカッションを行いました。 議論を進めていく中で、さまざまな意見が飛び交いました。その中には、「寄付を受けた食料品を完璧に消費するために、新規パントリーを出店する際の食料品の需要予測が必要ではないか」や「限られたボランティアの中で食品配送ルートの改善が大きなインパクトをもたらすのではないか」といった意見が出ました。ディスカッションをすることで、自分では思いつかない新鮮な発想に触れることができたり、テーマに広がりを持たせられることを感じました。アナリティクスの結果を活用するアクションを考えるための「課題設定」を実際に体験できた勉強会になりました。 コミュニティメンバー募集中！ SAS Japan Student Data for Good communityでは引き続き学生の参加者を募集しております。社会貢献を目指す活動を通してデータサイエンティストの役割である「課題の設定」から「データを用いた解決法の提示」までの一連の流れを経験できます。 興味をお持ちでしたら下記の事項をご記入の上JPNStudentD4G@sas.comまでご連絡ください。 大学名 / 高校名 名前 メールアドレス
This blog focuses on using SASPy for modeling and machine learning.
Crucially, this data not only needs to be standardised but also it needs to be actionable. By that, I mean this behavioural data needs.
How can a solar farm ensure peak energy production? And what factors can be adjusted to optimize production throughout the day, the week and season-by-season? These are just some of the questions that a team of data scientists have asked and answered about the SAS solar farm using data, drones
A 2-D "bin plot" counts the number of observations in each cell in a regular 2-D grid. The 2-D bin plot is essentially a 2-D version of a histogram: it provides an estimate for the density of a 2-D distribution. As I discuss in the article, "The essential guide to
I saw an article that claimed Donald Trump recently tweeted 123 times in one day. This got me wondering how many times he typically tweets during a day, and whether this number has changed over the years. This seems like it might be a good topic to analyze with a
Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks. As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Over time, machine learning has borrowed from many
Rockin' around the Christmas tree At the Christmas party hop. – Brenda Lee Last Christmas, I saw a fun blog post that used optimization methods to de-noise an image of a Christmas tree. Although there are specialized algorithms that remove random noise from an image, I am not going to
Stuttgarter Zukunftssymposium - was werden Maschinen in Zukunft wirklich sein - Angst also vorbei?
Gespräch mit Johannes Fuhr über Bedeutung vom Netzwerken: Meetups sind Jobbörsen und Wissensvermittlung für Startups in einem.
Gespräch mit Helmut Linde von Merck über seine Meetup-Ambitionen. Helmut ist ein begehrter Gastredner in der Data Science Szene Rhein-Main.
I can tell that my area (Wake county, NC) has a growing population, because the traffic keeps getting worse and worse. But it's a little difficult to quantitatively gauge growth by looking at traffic congestion. Therefore let's have a look at a more direct measurement - the actual population data!
Gespräch mit Helmut Linde von Merck über seine Meetup-Ambitionen. Helmut ist ein begehrter Gastredner in der Data Science Szene Rhein-Main.
I caught up with Ioannis Tsiliras, Director at OTE-COSMOTE, to discuss innovation, real-time and customer contact.
Jeff Stander helps us understand the different options of preparing data for analytics.
Binary matrices are used for many purposes. I have previously written about how to use binary matrices to visualize missing values in a data matrix. They are also used to indicate the co-occurrence of two events. In ecology, binary matrices are used to indicate which species of an animal are
If you have an interesting topic for a 20 minutes lightning talk, please feel free to contact us.
As we're getting into December, and the weather is getting colder, I thought it would be cool to plot some Antarctica data. You might remember I did this about 1.5 years ago, using good-old Proc Gmap, a special projection, and lots of tricky annotation. Well, this time let's use the
A tecnologia moderna mudou a maneira como as marcas e os consumidores se conectam. Como será a experiência do cliente em 2030? De que forma vão as marcas evoluir para satisfazer as expectativas dos futuros consumidores? Estas são algumas das questões abordadas num estudo recente intitulado "Experience 2030: The Future
Recently I showed how to visualize and analyze longitudinal data in which subjects are measured at multiple time points. A very common situation is that the data are collected at two time points. For example, in medicine it is very common to measure some quantity (blood pressure, cholesterol, white-blood cell
Another year, another traditional Christmas song or carol turned into a fun technology-related version! This is the sixth year and my ninth song. I hope you enjoy your 2019 holiday song, based on this famous tune. The Data Science and AI Song Computer vision processing on an open stack The
One analysis suggests that in the first year of using process mining, the telecoms company had decreased its cost per process order by almost 40% and improved its productivity.
