01. Armand Ruiz Gabernet, IBM, visits #theCUBE!. (00:19)
02. The Data Science Experience Background. (00:33)
03. Success of the Data Science Experience Launch. (02:49)
04. Data Science Experience: Free Plan and On Demand. (04:48)
05. Gabernet's Background. (05:21)
06. The Unicorn: What it Takes to Do Data Science. (07:28)
07. Adding Automation. (10:43)
08. Automating Automation and Choosing Technologies. (11:39)
09. The Skills Gap. (13:30)
https://siliconangle.com/2016/09/29/creating-new-tools-to-bring-together-the-data-science-community-bigdatanyc/
--- ---
Creating new tools to bring together the data science community | #BigDataNYC
by Nelson Williams | Sep 29, 2016
Data science is a land with strange and shifting borders. It’s hard to say what makes a data scientist, as the skills required vary from one project, and one company, to the next. Further, the tools and technology involved are changing as quickly as anything else in the computer world. Bringing some definition and stability to the data science community is a necessary step in the evolution of the field.
To gain some insight on the world of data science, Dave Vellante (@dvellante) and Jeff Frick (@JeffFrick), cohosts of theCUBE, from the SiliconANGLE Media team, visited the BigDataNYC 2016 conference in New York. There, they talked with Armand Ruiz Gabernet, lead product manager, IBM Data Science Experience, at IBM.
Introducing the Data Science Experience
The conversation started with a look at a new tool developed by IBM, the Data Science Experience. Gabernet explained that IBM had seen a big gap in the tools used by data scientists, and difficulties in getting those tools to work together. The company thought to create something new, a system with a clean, nice UI based on open-source code. This became the Data Science Experience.
The Data Science Experience features a big community component. Gabernet pointed out that a big part of data science work was going online to find the most recent information and solutions. Now, IBM brings it all in through this new tool. He stated users can start working and collaborating with one click.
Collaboration, science and community
Gabernet mentioned the big question surrounding the field: What is data science? The concept is evolving. Companies have teams of data scientists with different skills. IBM is trying to bring them all into one platform.
“We had the feeling we were doing the right thing, but we’ve had it confirmed by the community,” he said.
To be a data scientist today is hard because you have to learn new stuff every week, Gabernet explained. It’s hard to keep up. There is automation, but the machine learning process is never-ending. Data scientists are always coming back to improve their accuracy. The process is endless, and they’re never finished in their work, he added.
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
IBM DataFirst Launch Event 2016 | New York. If you don’t think you received an email check your
spam folder.
Sign in to IBM DataFirst Launch Event 2016 | New York.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Register For IBM DataFirst Launch Event 2016 | New York
Please fill out the information below. You will recieve an email with a verification link confirming your registration. Click the link to automatically sign into the site.
You’re almost there!
We just sent you a verification email. Please click the verification button in the email. Once your email address is verified, you will have full access to all event content for IBM DataFirst Launch Event 2016 | New York.
I want my badge and interests to be visible to all attendees.
Checking this box will display your presense on the attendees list, view your profile and allow other attendees to contact you via 1-1 chat. Read the Privacy Policy. At any time, you can choose to disable this preference.
Select your Interests!
add
Upload your photo
Uploading..
OR
Connect via Twitter
Connect via Linkedin
EDIT PASSWORD
Share
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
IBM DataFirst Launch Event 2016 | New York. If you don’t think you received an email check your
spam folder.
Sign in to IBM DataFirst Launch Event 2016 | New York.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Sign in to gain access to IBM DataFirst Launch Event 2016 | New York
Please sign in with LinkedIn to continue to IBM DataFirst Launch Event 2016 | New York. Signing in with LinkedIn ensures a professional environment.
Are you sure you want to remove access rights for this user?
Details
Manage Access
email address
Community Invitation
Armand Ruiz Gabernet, IBM | BigDataNYC 2016
01. Armand Ruiz Gabernet, IBM, visits #theCUBE!. (00:19)
02. The Data Science Experience Background. (00:33)
03. Success of the Data Science Experience Launch. (02:49)
04. Data Science Experience: Free Plan and On Demand. (04:48)
05. Gabernet's Background. (05:21)
06. The Unicorn: What it Takes to Do Data Science. (07:28)
07. Adding Automation. (10:43)
08. Automating Automation and Choosing Technologies. (11:39)
09. The Skills Gap. (13:30)
https://siliconangle.com/2016/09/29/creating-new-tools-to-bring-together-the-data-science-community-bigdatanyc/
--- ---
Creating new tools to bring together the data science community | #BigDataNYC
by Nelson Williams | Sep 29, 2016
Data science is a land with strange and shifting borders. It’s hard to say what makes a data scientist, as the skills required vary from one project, and one company, to the next. Further, the tools and technology involved are changing as quickly as anything else in the computer world. Bringing some definition and stability to the data science community is a necessary step in the evolution of the field.
To gain some insight on the world of data science, Dave Vellante (@dvellante) and Jeff Frick (@JeffFrick), cohosts of theCUBE, from the SiliconANGLE Media team, visited the BigDataNYC 2016 conference in New York. There, they talked with Armand Ruiz Gabernet, lead product manager, IBM Data Science Experience, at IBM.
Introducing the Data Science Experience
The conversation started with a look at a new tool developed by IBM, the Data Science Experience. Gabernet explained that IBM had seen a big gap in the tools used by data scientists, and difficulties in getting those tools to work together. The company thought to create something new, a system with a clean, nice UI based on open-source code. This became the Data Science Experience.
The Data Science Experience features a big community component. Gabernet pointed out that a big part of data science work was going online to find the most recent information and solutions. Now, IBM brings it all in through this new tool. He stated users can start working and collaborating with one click.
Collaboration, science and community
Gabernet mentioned the big question surrounding the field: What is data science? The concept is evolving. Companies have teams of data scientists with different skills. IBM is trying to bring them all into one platform.
“We had the feeling we were doing the right thing, but we’ve had it confirmed by the community,” he said.
To be a data scientist today is hard because you have to learn new stuff every week, Gabernet explained. It’s hard to keep up. There is automation, but the machine learning process is never-ending. Data scientists are always coming back to improve their accuracy. The process is endless, and they’re never finished in their work, he added.
