Are you ready for a world that knows what you want the instant you want it? Maybe even before you know it? We hope so, because it’s already here and it’s getting smarter and smarter about you. Data patterns, predictive models and self-learning algorithms are key forces that contribute to the AI evolution that brings hyper-personalization to the things you do, the places you visit, what you eat, what you wear and more.

Just think about the tons and tons of data out there based on what you watch, listen to, click, comment on, like, tweet, retweet, snap, tag, ‘gram and buy. Depending on how much you opt in, companies can use all of this information to create an offer, product or experience just for you. Amazon product recommendations are perfect examples of this. You’ll see stuff they think you like based on the products you already own or the things in your browsing history other people have purchased. They plant the purchase seed even before you thought about buying. As tech gets smarter and data mining goes deeper, these scenarios will become a more seamless part of your daily experience.

Salesforce is putting AI into play with its Einstein platform, which learns from all the data channels a company has (i.e., CRM data, email, calendar, social, IoT) and delivers predictions and recommendations in context of what they’re trying to do, whether it’s content scheduling or building on sales leads.

Imagine walking into a coffee shop and your favorite cup is waiting for you because they analyzed data cycles of what you bought and what time you bought it. They knew what you wanted, when you wanted it, before you even asked for it. Imagine the articles you read with customized headlines based on other factors like the sites you visit or your social channels. Or ads and videos customized to you, not just your demographic, based on what you read, what you share or where you are in the sales cycle. It’s all on the horizon thanks to AI and deeper learning.

Is all this a bit creepy? Maybe.

Is it convenient? Most definitely.

Is it the future? It seems destined to be at this point.

More and more people—especially younger demographics—are opting for convenience, personalization and automation over privacy. So browsing and posting habits are fair game, it seems, as long as there’s a relevant payoff in the end.

At Ignite, we pay attention to this fine line between data and privacy, a line that continues to blur more and more. Building a personal relationship with the target consumer is always the goal. But the lengths to grow this relationship can vary depending on how much information a person is willing to give up. Once the data comes in, the algorithms and AI take care of the rest to anticipate his/her wants and needs.