Tag Archives: Machine Learning

04Mar/20

Artificial Intelligence and Machine Learning: More Than Just Hype

Bigfinite Briefing Note

By: Sandra K. Rodriguez, Market Analyst

Axendia was recently briefed by the Executive Management team at Bigfinite following their announcements of their Series B funding and news of their collaboration with Honeywell.  With an executive team that has over thirty years of experience in the Life Science industry, Bigfinite helps biotech and pharmaceutical companies establish a lasting, competitive advantage through an agile and effective use of manufacturing data via their GxP-compliant AI/ML SaaS platform. The platform is offered as a single tenant, virtual private cloud for every one of its clients for security and for confidentiality purposes.

“We are not only tech people doing pharma, we are also pharma people doing tech,” began Pep Gubau, CEO at Bigfinite.  Manufacturing intelligence is not new; yet it remains a challenge.  Pharma, as well as other industries, have dedicated a lot of effort and technology towards this initiative for many years. “We believe manufacturing processes can’t be improved due to an incomplete understanding of operational realities.  There are still too many things that contribute to variations in processes that are not well understood. That leads to repeat deviations and the inability to get the root causes of those deviations,” said Claus Abildgren, VP Business Development at Bigfinite.

Continue reading
09May/18

Are Spreadsheet Wizards Doing Data Alchemy to Transform Your Data into Intelligence?

Bigfinite Brings a SaaS Platform that Uses Big Data, Artificial Intelligence (AI) and Machine Learning (ML) to Capture Data in the Cloud via IoT Technologies

By: Daniel R. Matlis, President

Life-Science companies are obsessed with hording documents.  These documents are filled with meaningless data.

Axendia research shows that 85% of companies surveyed rely on document driven processes.

Much of these meaningless data are unstructured, untagged and untapped.  Data are spread across countless repositories. They are saved in PDF documents and spreadsheets, in portals, share drives and email systems, in ERP, QMS, LIMS, MES, and PLM in process control systems and historians, etc.

However, data, even Big Data, on their own are not enough.  What is needed is intelligence.  Intelligence can be applied to answering scientific questions about product or process changes and the potential impact to both the product and the patient.

Unfortunately, many Life Science companies are suffer from DRIPPPP_INATU_CLP_WaterDroplet_B

DATA

RICH

INTELLIGENCE

POOR

Data Alchemy is NOT the Fix for DRIP

Until recently, the challenge has been the ability to turn these vast amounts of meaningless data into actionable intelligence, while supporting compliance with regulatory requirements.

Magician PalladiumHistorically, transforming meaningless data into actionable intelligence required hordes of spreadsheet wizards performing data alchemy. Data alchemists would hoard, compile, purify, distill, and perfect vast amounts of meaningless data and turn it into quasi-actionable intelligence.  Often working with months old data, the job of a data alchemist is tedious, resource intensive and often non-reproducible.

What if you could throw your data into a qualified data lake and use every technology buzzword to transform it into actionable intelligence?

Can Big Data, AI, ML, Cloud and IoT Fix the DRIP?

bigfinite logoAxendia was recently briefed by Bigfinite management to learn how the firm’s platform can address Life Science manufacturing problems that cannot be easily solved with current solutions. Continue reading