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Overview of Google AI tools


Google AI tools: Bard, conversational AI, data & insights and many others

After the tsunami of awareness ChatGPT and AutoGPT received, it was clear that the giants will awake soon. And they did, indeed. Microsoft, Amazon, Google. More on the first two mention later, let’s look at Google’s addition to the AI offer.

The recently launched Google AI tools have garnered substantial attention within the tech community. These tools, including the Google Content Generator, IMHO show that Google is active in harnessing artificial intelligence in content creation, data analysis, natural language understanding, image recognition and video generation. While they offer impressive capabilities, Google deserves to be critically evaluated in their actions. I mean – we all deserve a disruption in their hegemony.

AI content creation

Google Content Generator, powered by AI, which promises to streamline the process of creating engaging content. Leveraging natural language processing techniques, this tool facilitates relatively effortless content generation. However, concerns arise regarding the quality and originality of the output. AdCreative AI by RAD AI (that I have written about recently) and AutoGPT also provide AI-infused content generation. The are slightly differently positioned, but overall, all these tools make us question the possibilities of AI in uniqueness and creativity – not only the one top human copywriters bring to the table, but in comparison to each other. Ensuring that the generated content is not generic or replicated poses a challenge, potentially impacting brand differentiation and SEO strategies. Also, there is a huge tension in between keeping the brand essence alive and generation of massive volume of personalized content (I am collecting thoughts on a standalone article on this topic).

Google activities in photos and video deserve a separate article. Will look at these soon!

Data & insights

Google’s revenue comes from advertising and advertising is nowadays based on insights and data. Not surprisingly, the company in super active in this field. Its AI tools (Doubleclick, parts of formerly called Adwords & AdSense etc.) boast advanced algorithms for data analysis and insights, placing them in direct competition with offerings such as IBM Watson and Microsoft Azure. All AI data tools in my opinion aim for the same goal: removing the expensive, hard-to-hire and harder-to-understand BI professionals. I have always thought that their replacement will come in the form of a dashboard with buttons, but now it seems it will come in a form of conversations.

Advertising

Either way, data & insight tools for sure already allow various departments of businesses to derive meaningful conclusions from vast datasets. Big chunk of them is then used in advertising. Leveraging machine learning, (not only) Google’s tools can identify patterns and trends that may have gone unnoticed previously and we are being promised this improves impact of media campaigns in Google’s marketing ecosystem. However, Google’s black box algorithms not only in me raise concerns about transparency and bias. Google’s Marketing Platform is one dark cave into which advertisers throw money into. DV 360 even has a claim „Take control of your campaigns.“ and it certainly works on doing the exact opposite, which will even be enhanced by usage of LLM & AI. Competing tools show I would say more convincing efforts to address bias and improve transparency.

Google Bard assists in refining and enhancing written content. Google has for years been snooping in user emails in Gmail; now it’s pretty good at suggesting more concise and impactful phrases and providing grammar and spelling corrections. Bard has for sure a huge dataset to learn from: Google has the advantage of adding its AI LLM tools into its email and „Office“ (Docs) services, whereas tools like Grammarly and ProWritingAid, which offer similar AI-powered writing assistance, must sell themselves to stay alive. Thus the addition of AI functions into Google Docs is a massive step. The assistants can already do things such as automated citation generation or smart content summarization or assist users in various writing and research tasks. Comparatively, Microsoft Office also offers AI add-ons, such as Researcher and Editor.

Google programming and coding AI capabilities IMHO fall into this category too, as „programming“ is basically using a special type of language.

AI browser extensions

This actually deserves its own article – so more on Chrome Extensions soon!

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