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Joseph Woodside discusses the evolution of digital transformation in healthcare in three eras.
Joseph Woodside discusses the evolution of digital transformation in healthcare in three eras.
Last week my colleague, Robert Allison, visualized data regarding immunization rates for kindergarten classes in North Carolina. One of his graphs was a scatter plot that displayed the proportion of unimmunized students versus the size of the class for 1,885 kindergarten classes in NC. This scatter plot is the basis
만약 나의 주치의가 내 디지털 트윈(Digital Twin)을 만들어 실시간으로 나의 상황을 다양한 센서 데이터 등을 통해 업데이트 받을 수 있다면 어떨까요? 현실세계의 기계나 장비, 사물 등을 컴퓨터 속 가상세계에 구현한 디지털 트윈을 통해 몸 속의 잠재적인 질병에 대한 신호를 미리 받을 수 있을지도 모릅니다. 디지털 트윈이 암 관련 질병을 미리
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 *
This week I noticed that they've started building the lot where they sell Christmas trees near SAS (at the intersection of Maynard & Reedy Creek Rd). They put up a nice rustic wooden fence, and lights, and maybe even a fire pit to keep their workers warm. They sell some
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
A data analyst asked how to compute parameter estimates in a linear regression model when the underlying data matrix is rank deficient. This situation can occur if one of the variables in the regression is a linear combination of other variables. It also occurs when you use the GLM parameterization
I recently read an article that said a school in Asheville, North Carolina had the worst chickenpox outbreak in the state in 2 decades. The article was interesting, and it also let me know I had a hole in my knowledge ... "What?!? - There's a chickenpox vaccine?!?" When I
은행은 금융위기와 같은 경제적 충격이 외부에서 발생했을 때 채무 불이행에 따른 손실 규모를 파악하고 보유하고 있는 위험자산에 대한 포트폴리오 변화를 빠르게 확인할 수 있어야 하는데요. 특히 글로벌 금융위기 이후 은행권을 대상으로 글로벌 경제 위기에 견딜 수 있는 재무 건전성 역량을 문서화하는 규제요구가 높아지면서 대형 투자은행들이 경제 상황이 극도로 나빠졌을 때
What is object detection? Object detection, a subset of computer vision, is an automated method for locating interesting objects in an image with respect to the background. For example, Figure 1 shows two images with objects in the foreground. There is a bird in the left image, while there is a dog
Data management gets lost in the enthusiasm around Artificial intelligence (AI) and machine learning (ML). Not surprising, when it's an algorithm that decides what search results to show you, guides the self-driving cars on the roads, and powers the anti-fraud bots that monitor every credit card transaction we make. Charles
Finanzdienstleister haben aktuell massive Herausforderungen beim Management ihrer Daten: Der Kostendruck zwingt einerseits zu einem hocheffizienten Betrieb („run“). Zugleich wandeln sich andererseits die Prozesse im Business, Stichwort Digitalisierung („change“). Die drückenden Regeln der Aufsicht scheinen sich nicht vereinen zu lassen mit dem Anspruch der Kunden, flexibel, fix und doch datensparsam
Reconsider conventional assumptions about data governance – three suggestions for chief data officers.
머신러닝이 마케팅 생태계 내에서 지속적으로 발전함에 따라 현대화된 알고리즘 접근법의 해석력이 중요해지고 있습니다. 지난 번 게시했던 머신러닝 해석력 관련 블로그에서 인공지능(AI)과 머신러닝을 신뢰하기 위한 필수 조건, 데이터 세트를 이해하고 해석하는 방법, 그리고 머신러닝 모델의 작동 원리에 대한 인사이트를 도출하는 변수를 표시하는 방법에 대해 설명한 바 있는데요. “우리는 머신러닝에 의해 구동되는 애플리케이션에 둘러싸여 있으며,
You might know that you can use the ODS SELECT statement to display only some of the tables and graphs that are created by a SAS procedure. But did you know that you can use a WHERE clause on the ODS SELECT statement to display tables that match a pattern?
Healthcare fraud is alive and well. Honesty is dead and gone. There, I’ve said it. What else are we to take from surveys that find that 27% of people would sell their work passwords...44% of them for less than $1,000?* What does it mean that 37% of survey respondents think
인공지능(AI)의 성장은 과연 디스토피아를 초래할까요? 인공지능은 굉장히 빠른 속도로 발전하고 있지만, 동시에 인공지능의 잠재적 위험성을 우려하는 목소리도 커지고 있는데요. 하지만 반대로 생각해보면 인공지능은 인간의 능력을 대체하는 것이 아니라, 인간의 능력을 향상시키기 위해 설계되었습니다. 인공지능은 이미 헬스케어, 보험, 금융, 농업 등 대부분의 산업 분야에서 인간을 돕는 중추적인 역할을 하고 있는데요. 마찬가지로 SAS는 인공지능을
In my first two posts of this blog series, we heard why two students chose to pursue a STEM field and what appealed to them about data science. We also heard how they put their knowledge to work on a real-world data science project. Today, we'll hear their advice to future
最近、SNSなどで「AI開発ミステリー ~そして誰も作らなかった~」という記事が話題になりました。人工知能(AI)を導入しようという企業の最悪の顛末をコミカルに描いたジョーク・ストーリーですが、これを面白がる人が多いというのは、多少なりとも日本のIT業界の現実を反映しているのかもしれません。 このような事態になっているのは、AIに対する過度な期待が原因の一つかもしれません。AIは、機械に任せれば素晴らしいことが起こる魔法ではなく、明確に定義されたタスクを実行するように機械をトレーニングする方法です。人間が行うタスクを機械が代替することになるのですが、人間が活動しているシステムのなかで、どの部分を機械にやらせるかを考え、実装し、運用しなければなりません。これは、これまでSASが実現してきたアナリティクスの延長にほかなりません。 「AIが発達すればデータサイエンティストはいらない」という説もあります。データサイエンティストが機械学習を実装する役割だけを持つのであれば、そうかもしれません。しかし、本当に必要とされる仕事が「人間が活動するシステムの中でのアナリティクスの活用」であるなら、まさにAIが使われる仕組みを考え、実装し、運用できる状態にする人材こそが求められているのではないでしょうか。 今年5月、SAS Forum Japan のなかで開催された「データサイエンティスト・キャリア・トラック」では、アナリティクスを活用する組織のなかでデータサイエンティストがどのように活躍するかについて、企業の方々から学生向けの講演をいただきました。例えば、ITや数理モデルを使いこなせることは初級レベルで、ビジネススキルを身に着けながら、最終的には経営幹部候補となるキャリアパスを提示している組織や、一方で、趣味で培ったスキルをビジネスに生かすデータサイエンティストがいます。このように、データサイエンティストのキャリアは組織・個人によってさまざまですので、多様人材がそれぞれの強みをもって活躍することができそうです。 しかし、どの組織・個人でも共通しているのは「目的志向」である点です。何のためにデータ分析をするのか、それがどのような価値を持つのかを明確にしなければ、課題解決のためのデータ分析はできません。データサイエンティストは単にデータ分析の技術で課題解決するだけでなく、「課題設定」をする役割を持たなければ本当の価値は生み出せないのです。そもためには、さまざまな問題意識を抱える人たちと異業種交流をするなど、幅広い視野が必要となりそうです。 データサイエンティスト協会が示した3つのスキルのうち、「ビジネススキル」については、ときどき「ドメイン知識」(業界や業務についての知識)として紹介されることがあります。しかし、本当に必要なのは、その知識を解決すべき課題に変換する力だと考えます。データサイエンティストを目指す学生が、すべての業界・業務についての知識を得ることは難しいですが、アナリティクスが活用される代表的な業界において、どんな課題がどのようにアナリティクスにより解決されているかを知ることで、応用力を身に着けられるのではないでしょうか。そこで、SAS Japanでは、次のような内容の学生向けセミナー「データサイエンティストのキャリアと活躍のかたち」をシリーズで開催します。 データサイエンティストのキャリア ... 「データサイエンティスト・キャリア・トラック」の講師陣による、それぞれの組織や個人としてのデータサイエンティストのキャリアや活躍のかたちを紹介 ビジネスで活用されるアナリティクス ... データサイエンスやアナリティクスがどのような業界のどんな課題を解決するために活用されているかをSAS社員が紹介 学生によるデータサイエンスの学び ... 学生がどのようにデータサイエンスを学習しているかを学生自身による体験を交えながら紹介 第1回は11月30日(金)に開催します。データサイエンティストを目指す学生の皆様のご参加をお待ちしています。
There has been a lot of controversy surrounding this year's midterm election, when it comes to counting the ballots ... and I kept hearing the term provisional ballots in the news. But I'm embarrassed to say that I didn't really know much about provisional ballots. I decided to do a
When describing their business model, our customer, Epipoli (one of the leading gift card companies in Europe), tells the story of the ancient Limoncello makers of Italy. Limoncello is an intensely lemon-flavored liqueur famously produced in Sorrento, the Amalfi coast, and the island of Capri. The drink started as a local tradition, but quickly
The US 'midterm' elections have finally started to wind down, and we finally have some (mostly) finalized results to study. But what's the best way to visualize who won the US congressional seats in each of the 435 districts? Let's dive into this topic!... Preparation For starters, I couldn't find
JSON is a popular format for data exchange between APIs and some modern databases. It's also used as a way to archive audit logs in many systems. Because JSON can represent hierarchical relationships of data fields, many people consider it to be superior to the CSV format -- although it's
Joseph Woodside shares examples of applied experimental learning in healthcare from his book, "Applied Health Analytics and Informatics Using SAS".
Teenagers. I have three boys, and two of them are teenagers. 15 year-old Kav is my middle son, and he gave me permission to share his story here. When he was five, Kav was diagnosed with Type I Diabetes, and I'm in awe of how he's accepted this challenging, lifelong
An ROC curve graphically summarizes the tradeoff between true positives and true negatives for a rule or model that predicts a binary response variable. An ROC curve is a parametric curve that is constructed by varying the cutpoint value at which estimated probabilities are considered to predict the binary event.
In many grocery stores throughout the country, the acronym “WIC” accompanies a number of the food items on the shelves. The letters stand for the federal “Women, Infants and Children” program that provides nutritional food to pregnant women and their young children who are in need. While this is a
SAS is launching the SAS Student Series, which bundles thousands of dollars’ worth of training and certification materials into an affordable package for university students and recent graduates.
Note: Today’s utility industry is in upheaval. All of the assumptions the business has run on have been turned on their heads. This post is the third in a three-part series looking at how analytics are helping utilities navigate this challenging landscape and find new opportunities for improvements in operations,
인공지능(AI)이 우리에게 미치는 영향이 나날이 커지면서 일자리를 대체할 것이라는 우려도 높아지고 있습니다. 이를 위해서 인공지능의 윤리 방안과 규제에 대한 논의가 이루어지고, 기업이 알고리즘으로 인해 일자리를 빼앗긴 직원에게 재교육을 제공해야 한다는 목소리가 나오고 있는데요. 하지만 이러한 모든 내용은 인공지능이 미치는 부정적인 면에만 치우쳐 있습니다. 그렇다면 인공지능이 우리의 삶에 주는 혜택으로는 무엇이 있을까요? 인공지능,