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Did you know that Google has a real-life version of the company’s AI-driven virtual assistant, known as “Google’s Plans?” Well, you do now, because the search giant has just revealed a new document that details everything Google has in its sights to help it manage the artificial intelligence threat. Google’s Plans is its artificial intelligence program, which is used to answer user queries and conduct research. According to Google’s document, the program was first introduced in 2013 as a “side project” and has since grown exponentially. The number of Google’s Plans is now more than 13,000, compared to the original version’s 4,000. So, have a read and learn everything you ever wanted to know about Google’s Plans.

What are Google’s Plans?

Google plans to use AI to power various applications across a variety of industries. For example, AI could automatically analyze images and generate recommendations for travel destinations based on culture, cuisine, and architecture. Google’s AI strategy is based on the idea that AI can increase the “intrusion detection threshold” and help businesses minimize their risk from hackers and cybercriminals.

Why Create an AI Program?

When it comes to the benefits of artificial intelligence, there are plenty of reasons to be excited — and not just the obvious ones like increased profits. Companies are exploring AI to help with everything from improving quality of life to making more accurate diagnoses. And research is showing that AI could have a huge impact on business — and human lives.

What is the goal of Google’s AI Strategy?

The goal of Google’s AI strategy is to create an ecosystem where AI is available to help people with everything from their everyday tasks to their business challenges. The company is working to make AI accessible to everyone, whether someone has used it before or not. It also plans to create an environment where business leaders can use AI to help grow their organizations.

How Google’s AI Strategy Works

Google’s AI strategy works like this: Train — AI training is what makes AI engines stronger. Google’s AI strategy revolves around training its AI engines to recognize and react to different types of data, like images and videos, which users provide to the engine.

How to Achieve Google’s AI Strategy Goal

To achieve Google’s AI strategy goal, the company has several goals in mind. The first is to provide AI tools that make people’s lives easier. This can include personalized recommendations for how to spend their free time, traffic jams to avoid, or ways to forecast weather conditions. The second goal is to create an ecosystem where everyone — businesses and people — can use AI. 

Bottom line

Artificial intelligence is the new hot topic in business these days, and one of the biggest ways Google is making an effort to protect itself is by putting a spotlight on the risks associated with AI. The document details how Google plans to mitigate those risks and make AI service providers more transparent.

What is Google’s AI Research?

The number one priority for Google’s AI Research is training and testing models. The company wants to make sure its AI tools can handle real-world tasks, including understanding human language and performing tasks related to making sense of images and videos. To achieve this, Google is spending $1 billion over the next five years on AI-related equipment, software and training. Beyond that, the company plans to work with universities and corporations to encourage more researchers to join its team.

Google’s AI Infrastructure

Google’s AI infrastructure is made up of different parts, including the Cloud AI Engine and Dataflow, both of which are part of the Google Cloud Platform. Cloud AI Engine is designed to process huge amounts of data and make machine-learning-based decisions. It works on the Google Cloud Platform, which means it’s accessible through the company’s software tools and websites. Dataflow is a tool that processes data, such as images or videos, and makes machine-learning-based predictions. It’s part of Google’s video and image search engine, which means it can power a lot of Google’s services. Beyond that, Google’s AI infrastructure can connect to other AI tools, such as those developed by Facebook, Amazon and Microsoft.

Data Protection for AI Research

Beyond Google’s data protection plans, which are outlined in a separate section, the company has another initiative aimed at keeping its AI research safe and secure. This initiative is related to data protection, including encryption and data at rest and in transit. Google wants people to “Don’t store data in the cloud without encryption,” which refers to encrypted files, folders and drives. Beyond that, Google details other security best practices, such as using hardware-based encryption and using the hardware encryption key when the data is stored on a server.

Google’s AI Data and Research

When users search for information on Google, the company’s AI tools try to understand what they’re looking for. To help it do this, Google’s AI data and research are kept safe in different data centers around the world. Typically, these data centers are behind firewalls and other security measures. However, the company does keep some data in the cloud, such as its photo storage service, “Google Photos.” To protect this data, users can also backup their photos to Google Photos. While the service offers a lot, it also means that users have to keep an eye on their accounts to make sure they don’t have any photos uploaded that aren’t supposed to be public.


Artificial intelligence is an emerging field that is both exciting and scary. As AI technology develops, so does the artificial intelligence threat. Google has outlined steps it will take to protect its data and technology, as well as its AI tools, from becoming a target. In order to protect itself and its tools, Google recommends users follow these steps: Don’t store data in the cloud without encryption. Create a data-driven culture by training your team to think like data scientists. Use hardware-based encryption and the hardware encryption key when storing data on a server. Protect your data with a VPN. Remember to keep your data secure with encryption and use a VPN when sending data over the internet.

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