Koogle d*EPiC SWYNme BITLYme EmailMarketingTipps


(Viewing source=blog.google)

discussion SUBJECT: Write emails faster with Smart Compose in Gmail

Draft emails quickly with confidence. From your greeting to your closing (and common phrases in between), Smart Compose suggests complete sentences in your emails so that you can draft them with ease. Because it operates in the background, you can write an email like you normally would, and Smart Compose will offer suggestions as you type. When you see a suggestion that you like, click the “tab” button to use it. [...] [more]
blog.google    Intelligence, Marketing

discussion Stay composed: here’s a quick rundown of the new Gmail

Email is a necessity for most of us. We use it to stay in touch with colleagues and friends, keep up with the latest news, manage to-dos at home or at work—we just can’t live without it. Today we announced major improvements to Gmail on the web to help people be more productive at work. Here’s a quick look at how the new Gmail can help you accomplish more from your inbox. [...] [more]
blog.google    Design

antispam Keeping your company data safe with new security updates to Gmail

Our detection models integrate with Google Safe Browsing machine learning technologies for finding and flagging phishy and suspicious URLs. These new models combine a variety of techniques such as reputation and similarity analysis on URLs, allowing us to generate new URL click-time warnings for phishing and malware links. As we find new patterns, our models adapt more quickly than manual systems ever could, and get better with time. [...] [more]
blog.google    Spam, Deliverability

discussion How machine learning in G Suite makes people more productive

One of the earliest machine learning use cases for G Suite was within Gmail. Historically, Gmail used a rule-based system, which meant our anti-spam team would create new rules to match individual spam patterns. Over a decade of using this process, we improved spam detection accuracy to 99%. Starting in 2014, our team augmented this rule-based system to generate rules using machine learning algorithms instead, taking spam detection one step further. Now, we use Tensor Flow and other machine learning [...] [more]
blog.google    Intelligence, Spam
Page 1