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- Google Cloud adds six new AI agents for data scientists, engineers and more
- Advanced analytics will become more accessible with natural-language AI
- A solid data foundation is just as important, but Google can help you migrate
Google Cloud has launched six new AI agent tools to assist data engineers, data scientists, developers and business users realize even more productivity benefits.
Outlining a, "new era where specialized AI agents work autonomously and cooperatively to unlock insights at a scale and speed," Data Cloud Managing Director Yasmeen Ahmad explained the benefits of a "single, unified, AI-native cloud" over siloed tools when it comes to using AI.
Besides new, specialized AI agents, Google Cloud is also launching a series of APIs, tools, and protocols as well as updates to unify data.
Google Cloud launches even more AI agentsThe first agent, destined for data engineers, is designed to automate complex data pipelines by allowing engineers to describe tasks and then autonomously building and executing workflows. A separate Spanner Migration Agent will simplify migrating from legacy databases like MySQL to Spanner, eliminating hours of tedious administrative work.
Data scientists will benefit from an agent that automatically performs exploratory data analysis, data cleaning, feature engineering and ML predictions, offering step-by-step reasoning and collaborative feedback, while business users and analysts will get to use two separate agents designed to answer questions about data and interpret code with visualisations and explanations, meaning that non-technical users can perform advanced analytics.
Finally, Gemini CLI GitHub Actions will automate pull requests, tests, reviews and implementation for developers.
"The true potential of the agentic shift is realized when developers not only use existing agents, but also extend and connect them to their own intelligent systems, creating a broader network," Ahmad explained.
With its new agents, Google Cloud hopes to lower the barrier of entry into advanced data analytics, "eras[ing] the line between operational and analytical worlds."
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- Perplexity says Cloudflare's analysis of its AI crawlers was technically flawed
- There seems to have been a mix-up with a third-party service used by Perplexity
- Perplexity wants Cloudflare to engage in dialogue – not just to post accusations online
Perplexity AI has accused Cloudflare of mischaracterizing its web crawlers as malicious bots after the latter claimed the AI company obfuscated its bot identity using deceptive strings and unexpected IP ranges.
Responding to Cloudflare's analysis and testing, Perplexity declared that analysis was technically flawed and that it misattributed unrelated traffic.
Perplexity has also asserted its traffic is user-driven, not stealth scraping or malicious crawling, suggesting that Cloudflare has misunderstood modern AI assistant behavior.
Cloudflare gets Perplexity all riled up"It appears Cloudflare confused Perplexity with 3-6M daily requests of unrelated traffic from BrowserBase, a third-party cloud browser service that Perplexity only occasionally uses for highly specialized tasks (less than 45,000 daily requests)," the company wrote in an X post.
Hitting back at Cloudflare's obfuscation claims, Perplexity said the company obfuscated its own methodology, even accusing the company of pulling off a stunt to gain attention.
One of Perplexity's possible explanations reads: "Cloudflare needed a clever publicity moment and we–their own customer–happened to be a useful name to get them one."
"This controversy reveals that Cloudflare's systems are fundamentally inadequate for distinguishing between legitimate AI assistants and actual threats," the post continues.
In the post, Perplexity also offered context about how AI crawlers work: when a user asks a question, the AI agent doesn't retrieve the information from a central database, but rather fetches it in real time from the relevant websites. This contrasts to traditional web crawling, "in which crawlers systematically visit millions of pages to build massive databases, whether anyone asked for that specific information or not."
Moving forward, Perplexity urges Cloudflare to engage in dialogue instead of publishing misinformation about its practices.
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