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
There are 4 questions a startup should ask themselves about building a startup that uses generative AI. There are 4 questions startups should ask themselves about building with generative AI. Layer : application, platform, or infrastructure? I had a blast putting this deck together.
As a startup, you’re doing a million things at once: building a product, answering customer tickets, developing a sales playbook, trying out different marketing hacks, and keeping the lights on. Unfortunately, the process is long and can feel like a blackbox for startups starting from scratch. 5 – Configure Your Infrastructure.
We researched the market and discovered many tradeoffs and advantages a new provider could bring to the table. Our options were Amazon Web Services (AWS), Google Cloud (GCP), and Azure. Data security and compliance. Managed Kubernetes was another major factor to consider, and this was head to head with Google Cloud (GCP).
Ensure cloud security and compliance. Examples of IaaS Cloud Providers Amazon Web Services (AWS) Google Cloud Provider (GCP) IBM Cloud Microsoft Azure PaaS Taking a step ahead from IaaS, let us introduce you to PaaS or Platform-as-a-support. Follow data security and compliance.
Keeping your head in the clouds might sound dreamy, but managing compliance up there doesnt quite hit the same. Thankfully, with the right tools in your corner, managing cloud compliance becomes far more straightforward, less stressful, and – dare we say – manageable. Whats Cloud Security Compliance, Anyway?
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