En la actualidad, los modelos analíticos son herramientas esenciales para tomar decisiones basadas en datos. Desde prever tendencias hasta optimizar operaciones, los modelos analíticos dependen en gran medida de la calidad de los datos de entrada. La precisión, integridad y relevancia de estos datos son cruciales para obtener resultados confiables
It is no surprise that generative AI (GenAI) is quickly becoming a potent tool in the health and life sciences industry. There are numerous ways that AI and GenAI can help beat the rising tide of fraud. We can count on these new technologies to enable the ability to commit
A woman arrives at the emergency room with chest pain. She immediately receives an x-ray. While the radiologist looks at the image, her AI assistant flags anomalies in the patient’s lungs – invisible without the technology. The chest pain turns out to be benign, but sophisticated imaging reveals early-stage lung
Another promise of innovation and advancement? Not in 2025. The hype of market disruption and transformation might be the content that catches attention, but it’s not always the most accurate description of the industry. For far too long, industry experts have praised the ideas of future-forward growth and promised year-over-year
공공 고객 세미나 통해 공중보건과 공공사회서비스 개선을 위한 해법 제시 SAS코리아는 지난 5월 23일과 24일 양일간 공공 부문 고객들을 대상으로 ‘공중보건 전문가를 위한 SAS Public Health 세미나’와 ‘공공사회서비스 전문가를 위한 SAS Social Services 세미나’를 JW메리어트 호텔에서 개최했습니다. [사진1] 공중보건 전문가를 위한 SAS Public Health 세미나 장면 소외 계층 없이 전
“Generative AI is essentially just a subcategory of AI; it’s not that new algorithms have been invented.” Marinela Profi, AI Product Strategy Lead at SAS, says it up front and directly in her most recent podcast interview. “It takes a variety of data points, code, images and then, based on
En los últimos años, la ciencia de datos ha experimentado un crecimiento exponencial y se ha convertido en un pilar fundamental para las estrategias de las organizaciones en todas las industrias. Sin embargo, para los data scientist experimentados, el panorama del dato se encuentra en un proceso de cambio constante.
The days of one-size-fits-all messaging in the pharmaceutical industry are fading. Today's patients and health care providers (HCPs) expect personalized content across a variety of channels. This is where generative AI (GenAI) can really help execute cross-channel marketing. Reaching the right audience with the right message Imagine a world where
Synthesizing data? Who does that? Aren’t we supposed to be running the experiments and measuring things to produce real data? While generally true, there are scenarios in which the use of generative AI (GenAI) is beneficial. Let’s explore the benefits via “what if” scenarios. Before we begin, it’s important to
Cada vez mais as ferramentas de IA apoiam a tomada de decisão e ajudam na criação modelos que identificam tendências e padrões de comportamentos que, juntamente com regras de negócios, permitem que as empresas tomem decisões mais assertivas, seja qual for sua área de atuação. As análises mais avançadas incluem
No ano passado, assistimos a uma revolução notável no desenvolvimento de modelos generativos de IA e na sua adoção generalizada por indivíduos e empresas. Dois exemplos claros foram o ChatGPT e o DALL-E da OpenAI que, em apenas alguns meses, conseguiram conquistar milhões de utilizadores em todo o mundo, garantindo
1.背景 データ管理と分析の世界では、効率的かつ迅速なデータの転送と書き込みは極めて重要です。特に大規模なデータウェアハウスサービスを利用する際には、このプロセスの最適化が不可欠です。Azure Synapse Analyticsは、そのようなサービスの一つとして注目を集めており、SAS Viyaを使用する多くの企業やデータアナリストも、より効率的なデータハンドリングを追求しています。 SAS ViyaのユーザーはSAS/ACCESS to Microsoft SQL Serverを使用してAzure Synapseにデータを転送および書き込む際に、より高いデータ書き込み効率と転送速度を求めるのは当然です。データ処理能力をさらに強化し、書き込み効率を高めるために、SAS Access to SynapseのBulkLoad機能は非常に優れた選択肢です。BulkLoad機能はデータの書き込み速度を大幅に向上させるだけでなく、Azure Data Lake Storage Gen 2（以下、ADLS2と称する）を利用して、安定かつ安全なデータストレージおよび転送環境を提供します。 ただし、BulkLoad機能を使用する際にはADLS2の設定と構成が関わってくるため、構成および使用のプロセスが複雑に感じられたり、疑問が生じたりすることがあります。このブログの目的は、管理者およびユーザーに対して、明確なステップバイステップの設定プロセスを提供し、構成の過程で見落とされがちなキーポイントを強調することで、設定時の参考になるようにすることです。 以下は本記事内容の一覧です。読者は以下のリンクをで興味のあるセクションに直接ジャンプすることができます。 2.Bulkload機能について 3.BULKLOAD機能を利用するためのAzure側で必要なサービスの作成 3-1.Azure Data Lake Storage (ADLS) Gen2のストレージアカウントの作成 3-2.ストレージアカウントのデータストレージコンテナの作成 3-3.ストレージアカウントの利用ユーザー権限の設定 3-4.データ書き込み用のSASコードの実行 3-5.Azureアプリの設定 4.SAS Viya側の設定とAzure Synapseへの接続 4-1.SAS Studioでの設定 4-2.Azure SynapseのSQLデータベースをSASライブラリとして定義 4-3.Azure Synapseへデータの書き込み 2.Bulkload機能について なぜSAS ViyaがBulkload機能を使用してAzure Synapseに効率的にデータを書き込む際にADLS2サービスが必要なのか、そしてそのプロセスがどのように行われるのかを説明します。 Azure Synapse Analyticsは、柔軟性が高く、高いスループットのデータ転送を可能にするために、COPY
The health care and life sciences market is accelerating – but not without a few necessary pitstops. Machine learning, digital twins, generative AI, robots as doctors, medications with sensors, and surgery at the speed of light. It’s all driving the market. Year after year, market researchers, analyst firms, and industry
In 2024, we will witness the proliferation of synthetic data across industries. In 2023, companies experimented with foundational models, and this trend will continue. Organizations see it as an emerging force to reshape industries and change lives. However, the ethical implications can't be overlooked. Let’s explore some industries I think
As 2023 ends, it's important to reflect on the predictions that SAS leaders made at the beginning of the year. Let’s look at some of these predictions and see how accurate they were. We'll explore forecasts related to health care, human resources, AI, data, renewable energy and more. Let's dive
Debido a la complejidad y cambios en el mercado, las organizaciones de todo el mundo están aprovechando las oportunidades para hacer mejores predicciones, identificar soluciones y dar pasos estratégicos y proactivos, lo que significa que dependen cada vez más de los big data. Sin embargo, en su búsqueda de resistencia
Health care and life science organizations have always prioritized saving lives and now extend that commitment to environmental, social and governance (ESG) goals. They are not merely checking boxes, but genuinely pursuing long term impact for individuals, future generations and the planet. However, they must now elevate their ESG efforts to
When you think about life-saving technology, does a statistical computing environment come to mind? Statistical computing environments (SCE) are critical in accelerating scientific discoveries by enabling researchers to manage, process and analyze data efficiently and compliantly, maintaining the utmost regulatory integrity. As life sciences research generates increasingly large and diverse
As in most other sectors, health care is changing at lightning speed. Access to data makes it possible to speed up clinical trials, develop more personalized medication, make quicker and better diagnoses, improve the quality of patient care and save lives. The pandemic has sped up digital transformation in every
Getting a new medicine to market is a marathon, not a sprint. Or perhaps a better analogy is a steeplechase, where competitors must overcome gruelling obstacles on their way to the finish line. Clinical trials are one of the biggest hurdles on the route to market and they’re getting more
Even with today's technology, it's hard to know precisely when, where and how weather-related damage will occur. Flooding costs are expected to rise drastically during the next 20 years and climate change is a constant threat. Unfortunately, natural disasters are here to stay, but we can try our best to
Often the biggest challenge when implementing a successful forecasting process has nothing to do with the analytics. Forecast adoption – incorporating forecasts into decision-making – is just as high a hurdle to overcome as the models themselves. Forecasting is more than analytical models Developing a forecasting process typically begins with
Robert Handfield, PhD, is a distinguished professor of Supply Chain Management at North Carolina State University and Director of the Supply Chain Resource Cooperative. In an episode of the Health Pulse Podcast, Handfield gave his views regarding the challenges health care and life science companies have encountered over the past two years
For life sciences companies, effective commercial execution depends on delivering useful information to healthcare providers. How can your business manage engagement intelligently across all channels? The pace of pharmaceutical development is accelerating faster than ever before. During the pandemic, life sciences leaders proved that the industry can react to emerging
Research, supply chain, manufacturing, and sales increasingly depend on partnerships in a digital ecosystem. Cloud-based analytics makes it possible to collaborate intelligently at scale. For years, life sciences companies have been justifiably cautious about moving their data science functions into the cloud. Although the industry’s central purpose is to accelerate
"Companies across pharma and medtech need talented people to cover the range of data-related challenges." Paolo Morelli, Executive VP, Biometrics of Alira Health Paolo Morelli, Executive Vice President, Biometrics of Alira Health, tells us how he developed a relationship between the University of Bologna and industry-leading companies – and what
The COVID-19 pandemic brought an enormous urgency to the life sciences sector. Companies vied for suitable treatments and in less than a year, COVID-19 vaccines were developed. This demonstrated clearly that the sector could move at speed when necessary. Though vaccines were supported by regulators, inefficiencies in vaccine and drug development were exposed.
Rainforests are a vital part of the climate and life on our planet. Rainforests are known as ‘the lungs of the Earth’ because they produce 20% of the world’s oxygen. Because of this, conservation efforts are more important than ever. By combining the power of AI and analytics technologies with
Geen sector die de afgelopen twee jaar zo hard onder druk stond als de gezondheidszorg. En ook nu het einde van de pandemie in zicht lijkt, zullen veel uitdagingen rond Healthcare en Life Sciences niet verdwijnen. Gelukkig investeren zowel overheden als ziekenhuizen en farmaceutische bedrijven fors in data en analytics
Inequities in cancer care cause specific populations in the U.S. and worldwide to bear a more significant burden of disease than the general population, based upon barriers. These barriers to prevention and care have long existed but were undeniably exacerbated by the COVID-19 pandemic. February 4 marks World Cancer Day, which
