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SIMCA 16 now launched!

New version with improvements to make data analysis easier
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SIMCA 16 now launched!

New version with improvements to make data analysis easier
Learn more

deep-learning-big-data-analytics

The potential for Artificial Intelligence (AI) is enormous and the applications seemingly unlimited. One subset of AI, deep learning, offers the promise of efficiently solving a large range of challenges involving unstructured data by harnessing neural networks to save time and money, and even perform seemingly impossible tasks.
Deep learning has revolutionized the fields of artificial intelligence, computer vision, speech recognition, and more in recent years. Deep learning can draw information from unstructured data such as images or text in a way that was unthinkable a decade ago. In industries like Pharma and Biopharma, deep learning can help all the way from understanding how cells work using live cell imaging to monitoring manufacturing using audio.

23 May 2019

umetrics food fraud olive oil 2

Whether it’s fake olive oil, coffee bulked up with husks and twigs, or honey tainted with antibiotics, food fraud is a growing problem worldwide. The Australian research organization CSIRO states that the economic damage alone from food fraud has reached $35 billion (in US dollars) in 2018. The underlying cause is nearly always financial gain and economic pressures to save money by using inferior (or mislabeled) products. Predictive analytics is one tool manufacturers are using to combat food fraud.

14 May 2019
SIMCA 16

Ease of use, MOCA and data merging are some of the new functionalities added to SIMCA 16

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Courses

03 Jun 2019
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Multivariate Data Analysis

2 days English
Singapore, Singapore
06 Jun 2019
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Design of Experiments

2 days English
Singapore, Singapore
10 Jun 2019
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Design of Experiments

2 days English
Ahmedabad, India
11 Jun 2019
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Multivariate Data Analysis

2 days English
Malmö, Sweden

Events

IFT19

Monday, June 3, 2019 New Orleans, Louisiana, USA

IFT’s Annual Event and Food Expo is where the most talented and creative minds in the science of food come together to...Read more

Case stories

Tasly_web

Tasly, a leading Chinese provider of botanical drug products, has implemented SIMCA® and SIMCA®-online in order to control batch-to-batch process variability and to monitor the manufacturing process in real-time. After the implementation, the company is able to identify deviations from an ideal process and to proactively take corrective steps, thereby ensuring a consistent product quality.
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Tasly, a leading Chinese provider of botanical drug products, has implemented SIMCA® and...

Umea University

An important mission for science today is to develop better diagnostics and better treatments of severe diseases such as amyotrophic lateral sclerosis (ALS) and Parkinson’s disease (PD). Recently, a research group at Umeå University, Sweden, has shed new ligh on the possibility to improve the diagnosis of ALS and PD and better understand the disease progression.
 
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An important mission for science today is to develop better diagnostics and better...

Injection molding resized

A global health care company has implemented multivariate analysis and real-time release for its injection molding process of medical device components using solutions from Sartorius Stedim Data Analytics. Since the implementation, the company has been able to increase its production volume substantially without any associated increase in headcount and has managed to eliminate delivery of defect components.
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A global health care company has implemented multivariate analysis and real-time release...

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