Pixis AI Infrastructure – Get Maximum Results with Minimum Intervention

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Have you recently initiated, or are looking forward to implementing, the Pixis codeless AI infrastructure for your business? If yes, there is one thing you should do, or rather not do, to see the most effective results.

A big reason why AI is so similar to the cognitive abilities of humans is that it needs to learn before it can do the work, and we all know how irritating it can be to be disrupted while we are focused on learning.

Our AI infrastructure has various learning and action phases to enable data intake and accurate recommendations. During the Observation Phase, the AI gets into action and learns exhaustively about your business. Other phases include the Recommendation phase, where the AI provides insights on your Targeting, Creative, and Cross-Channel Bid and Budget Optimization, and the Calibration Phase, where recommendations are made based on Confidence Score. It’s all one big learning cycle, which can also adversely get affected by adjustments to its parameters.

The Pixis AI can take up to a week to configure AI models and start executing the actions recommended by it. Any manual intervention during these phases can cause snags and glitches.

Let’s look at it this way, if you found out the chapters for a test have changed while you were studying, you probably wouldn’t do so well in the test. Similarly, the AI is fed a certain set of parameters for it to figure out the best or optimal routes to boost your performance metrics, and altering the set of parameters during the learning process forces the AI to re-hash its algorithms. This could not only cause undue delays but also bring about suboptimal results.

At this point, we’d like to remind you that the steering wheel is and will always be in your hands. All we’re saying is that the AI would co-pilot your navigation.

We can understand idle hands make for unsettled minds, even more so when your work or brand is at stake. With that comes the compulsion to tinker with Pixis AI parameters, as we as marketers have been habituated to do so to find the most optimized strategies. Here are a few value addition activities you can do with your freed-up time  while the AI is studying:

a. Go to networking events and discuss AI with other marketers

b. Learn about AI in marketing yourself, and how best to work with the infrastructure

c. Get your creative juices flowing for the next big campaign

d. Put your unused leaves to use and take a holiday!

e. Read up on what’s new with AI through these blogs or podcasts.

Once the Pixis AI infrastructure has completed configuring a model to optimize your goals, you will have complete control and granular visibility of its actions through the dynamic dashboard. At any point, should you feel that your business needs to make decisions that translate to a change in the budgets we want to optimize for, you could always make these alterations while keeping your Customer Success Manager in the loop through the optimization process.

Pixis AI Dynamic Dashboard 

The best ideas come when we’re not really ideating actively. Is this an AI insight? Maybe. And now you have plenty of bandwidth to focus on storytelling, strategy, research, and exploration. Enjoy!

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