This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Here is where machinelearning operations (MLOps) come in. In less simple terms, it’s a combination of machinelearning, data engineering, and development operations. MLOps creates a lifecycle and a set of practices that apply to the development of machinelearning systems. 5 Benefits of MLOps.
Or some new studies on machinelearning might have popped up. Tech talks, negotiations seminars, sales training, all the education you needed was there. Or a new shipment of linear regression textbooks may just have arrived. It is a great feeling when someone takes interest in your education.
We suggest implementing advanced technology systems like AI and machinelearning to optimize your software. Provide resources: Whether through seminars, books, or real-life experience, your team should have access to customer support resources.
I’m CEO of Dataiku and Dataiku is a software platform that enables business analyst and data scientist to work collaboratively to deliver a large machinelearning projects. And we tweet every week and then every quarter we do two days sales seminar as well with everybody. Florian Douetteau: I am Florian.
Moveworks came about through a very deliberate process, a process by the four of us founders to understand where we could use machinelearning in a very useful and impactful way in the enterprise. So we could build machinelearning models at scale that could resolve it out of the box up front for our customers.
Bridget Gleason is VP of Sales @ Logz.io, the startup that uses predictive analytics and machinelearning to provide monitoring, troubleshooting and security. Welcome to Episode 210! To date, Logz have raised over $45m in funding from the likes of Openview, 83North and Vintage just to name a few.
We organize all of the trending information in your field so you don't have to. Join 80,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content