Blog

BioTeam's Chris Dagdigian closed out BioIT World 2019 with his ever-popular Trends from the Trenches presentation. This year's talk covered a wide variety of topics: Storage, Compute, Networking, Cloud and more. As advertised, Chris highlighted some trends in the industry such as the fact that...

23 April, 2019 /

Storage is perhaps the number one challenge in scientific computing today. BioTeam's Chris Dagdigian gives his thoughts on what he believes to be one of the best approaches to scientific storage and how this makes life easier for both the researcher who wants to use...

09 April, 2019 /

'Serverless computing' is an advance on the 'Infrastructure as a Service' paradigm where you create the functions and functionality required for your business need ('Functions as a Service') and leave the underlying hardware details to the Cloud provider. This approach entered the mainstream a few...

04 April, 2019 /

With lots of talk about the need for data management, is purchasing some software and a storage solution to 'manage' your data enough? BioTeam's Ari Berman, Chris Dagdigian and Karl Gutwin give their perspectives on this issue during Bio-IT World 2018. The original footage was shot as...

02 April, 2019 /

The second installment of HPCwire's 2-part BioTeam interview continues the conversation with Ari Berman, Chris Dagdigian and Aaron Gardner as we take a hard look at AI and deep learning, as well as performance and cost improvements within both cloud and storage. Part 2 delves beyond...

13 March, 2019 /

BioTeam's Ari Berman, Chris Dagdigian and Aaron Gardner recently sat with HPCWire for an in-depth, two part interview to discuss HPC trends in Life Sciences. Part 1 addresses infrastructure challenges including competitive diversity in CPU and GPU choices, the ubiquitous rise of data lakes and commons,...

05 March, 2019 /
Machine learning is a popular topic in the life sciences these days. A related question cropped up during a panel discussion at BioIT World 2018 and BioTeam's VP of Consulting, Ari Berman, raised some interesting points and an important caveat for those looking to leverage machine learning in their work.
21 February, 2019 /