Extract from Ben Lorica and Mike Loukides' article "You created a machine learning application. Now make sure it’s secure"
In a recent post, we described what it would take to build a sustainable machine learning practice. By “sustainable,” we mean projects that aren’t just proofs of concepts or experiments. A sustainable practice means projects that are integral to an organization’s mission: projects by which an organization lives or dies. These projects are built and supported by a stable team of engineers, and supported by a management team that understands what machine learning is, why it’s important, and what it’s capable of accomplishing. Finally, sustainable machine learning means that as many aspects of product development as possible are automated: not just building models, but cleaning data, building and managing data pipelines, testing, and much more. Machine learning will penetrate our organizations so deeply that it won’t be possible for humans to manage them unassisted.
I wanted a certification that separates me from my peers. Upon discovering CEDS, I was convinced this was exactly the type of distinction I had been seeking. Since achieving CEDS certification, I’ve noticed immediate recognition from my organization, colleagues, and current and prospective clients.They acknowledge they are more comfortable working with a person who has taken time to seek such certification. CEDS has certainly been worth the small investment and should continue to beget returns for years and years to come.
Andrew Bayer, CEDS
I get bombarded with all kinds of e-discovery stuff – news, blogs and whatnot. Let me tell you, you guys send the absolute best! I send it to all my partners and sales folks. I said, who are these guys? I have to get to know them better!
Kevin Glass, CEO
As a trial lawyer, day-to-day information processing is daunting for my client service. I’ve come to rely on ACEDS to keep me on the ‘edge’ of the curve on e-discovery. It’s a source I ‘ping’ ASAP.