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thumbnail Mastering Audio Transcription With Gemini APIs: A Developer's Guide
Oct 22nd 2025, 19:00 by Roline Stapny Saldanha

Understanding Audio Transcription via Gemini APIs

Gemini models are multimodal large language models. They can process and generate various types of data, including text, code, images, audio, and video. Gemini models also offer powerful audio transcription capabilities, enabling developers to convert spoken content into text. This can help in building a transcription service, creating subtitles for videos, and developing voice-enabled applications. If you are looking to convert speech to text using Gemini's powerful AI models, this comprehensive guide will show you how to implement audio transcription using different Gemini APIs. We will go from basic implementation to advanced real-time streaming.

Gemini supports the following audio formats as input: WAV, MP3, AIFF, AAC, OGG, and FLAC. We will look at generateContent, streamGenerateContent, and BidiGenerateContent(LiveAPI) APIs. You can find all supported APIs at https://ai.google.dev/api. generateContent is a standard REST endpoint, which processes the request and returns a single response. streamGenerateContent uses SSE (server-sent-events) to send partial responses as they are generated. This API is a better choice for applications like chatbots, which need a faster and more interactive experience. 

thumbnail The Dark Side of Apache Iceberg's Data Time Travel Feature
Oct 22nd 2025, 18:00 by Pravin Dwiwedi

Overview

Apache Iceberg is a high-performance open table format for large analytic tables that supports expressive SQL, full schema evolution, hidden partitioning, time travel and rollback, data compaction, and interoperability through the Iceberg REST catalog. With its robust features, Iceberg is becoming popular in the Data Lake and Lakehouse industries.

In this article, we are going to discuss the pros and cons of the most fascinating feature, "Time Travel Query." We will also discuss the precautions while adopting time travel features. 

thumbnail Automating Excel Workflows in Box Using Python, Box SDK, and OpenPyXL
Oct 22nd 2025, 17:00 by Sweetty P Devassy , Abhinav K , Veena Sudhakaran

In many organizations, MS Excel remains the go-to tool for storing and sharing structured data, whether it's tracking project progress, managing audit logs, or maintaining employee or resource details. Yet, a surprisingly common challenge persists: data is still being copied and updated manually.

Teams across different functions, especially management and DevOps, often find themselves entering or syncing data from one source into Excel spreadsheets manually and repeatedly. This not only consumes time but also introduces room for errors and inconsistencies.

thumbnail From Platform Cowboys to Governance Marshals: Taming the AI Wild West
Oct 22nd 2025, 16:00 by Hugo Guerrero

The rapid ascent of artificial intelligence has ushered in an unprecedented era, often likened to a modern-day gold rush. This "AI gold rush," while brimming with potential, also bears a striking resemblance to the chaotic and lawless frontier of the American Wild West. We are witnessing an explosion of AI initiatives — from unmonitored chatbots running rampant to independent teams deploying large language models (LLMs) without oversight — all contributing to skyrocketing budgets and an increasingly unpredictable technological landscape. This unbridled enthusiasm, though undeniably promising for innovation, concurrently harbors significant and often underestimated dangers.

The current trajectory of AI development has indeed forged a new kind of "lawless land." Pervasive "shadow deployments" of AI systems, unsecured AI endpoints, and unchecked API calls are running wild, creating a critical lack of visibility into who is developing what, and how. Much like the historical gold rush, this is a full-throttle race to exploit a new resource, with alarmingly little consideration given to inherent risks, essential security protocols, or spiraling costs. The industry is already rife with cautionary tales: the rogue AI agent that inadvertently leaked highly sensitive corporate data, or the autonomous agent that, in a mere five minutes, initiated a thousand unauthorized API calls. These "oops moments" are not isolated incidents; they are becoming distressingly common occurrences in this new, unregulated frontier.

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