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How to win with AI: Insights from a CEO

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The rising pressure to use AI AI is no longer a future concept. It’s on the table in every leadership meeting I’m part of, and it’s becoming a top-down priority across industries. More CEOs, including myself, are asking their teams to integrate AI into their workflows. The expectation is clear: every team should be using AI to improve efficiency and performance. The pressure to operate with an AI-first mentality is real, but many teams are struggling to understand what that actually means in practice. The goals (faster output, lower costs, better quality) are valid. But when teams jump in without the right strategy, the results can miss the mark. I’ve seen companies spend heavily, lose time chasing fixes, or end up with translations that need so much cleanup, it would have been faster to use conventional human or machine translation. So let’s reset the conversation. Being AI-first doesn’t mean using every tool you can find or building bespoke AI applications. It means knowing when and ...

Opportunity or Commodity? Investors Discuss The Language AI Thesis at SlatorCon

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Two seasoned venture capital investors, Shesh Amathnadu and Pramod Gosavi, joined the Investor Panel at SlatorCon Silicon Valley in early September. The pair shared their view on the language AI thesis and areas of opportunity within language AI with a 200-strong audience.  Amathnadu is Senior Investment Director at SK Telecom Ventures, the corporate venture arm of South Korea’s largest telecom operator SK, whose investments include Anthropic, Perplexity, and 12 Labs. Gosavi is Senior Principal at Blumberg Capital, a US-based B2B generalist investor, which makes investments from Pre-Seed to Series B from its two funds. With solid engineering backgrounds and more than a decade of investment experience, both Amathnadu and Gosavi have become experts in AI investing. Amathnadu discussed the current AI cycle and described the launch of ChatGPT in 2022 as an inflection point, which created a “clear differentiation of traditional machine learning [ML] versus generative AI.” In summary of ...

Mistral AI Raises EUR 1.7bn, Strengthens European Language AI Push

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  French AI startup Mistral AI  has once again made headlines by securing a massive $2 billion in Series C funding , pushing its valuation to $13.8 billion . Announced on September 9, 2025, the investment round highlights the company’s growing role as a leading force in Europe’s artificial intelligence ecosystem. The round was led by ASML Holding NV , the Dutch semiconductor equipment maker, with a significant contribution of $1.5 billion . Existing investors—including DST Global, Andreessen Horowitz, Bpifrance, General Catalyst, Index Ventures, Lightspeed, and NVIDIA —also participated, reaffirming their confidence in Mistral’s vision and strategy. ASML  added  that partnering with Mistral “will allow both companies to innovate faster together.” Founded in 2023 by former Meta and Google researchers, Mistral has quickly positioned itself as one of Europe’s most prominent AI startups. The company  stressed  that the new funding “reaffirms the company’s inde...

YouTube Now Allows All Creators to Add Their Own Multi-Language Audio Tracks

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  YouTube  has  announced  that it has rolled out its Multi-Language Audio (MLA) feature to “millions of creators,” enabling them to upload their own audio tracks in multiple languages using human voiceover artists or recordings from other AI tools. The announcement follows YouTube’s decision in June to  roll out automated AI-generated dubs  to 80 million creators worldwide, which creators  slammed  as “too robotic” and “cringe,” triggering some creators to demand access to the MLA tool. YouTube, which made the MLA tool available to a limited number of YouTube creators in  early 2023 ,  stated  that “on average, creators uploading Multi-Language Audio tracks to their videos saw over 25% of their watch time come from views in the video’s non-primary language.” In addition, YouTube commented that MLA tracks “ amplified views by 3x ” on Jamie Oliver’s channel, with one creator, Mark Rober, having the “highest number of MLA dubs uploade...

Document AI Translation: Moving Beyond OCR Pipelines to End-to-End Systems

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Document translation has always been a complex challenge. Traditional methods depend heavily on Optical Character Recognition (OCR) systems followed by machine translation tools. While this approach works, it often struggles with formatting, layout preservation, and accuracy. Thanks to rapid advancements in Document AI translation , we are now seeing a shift toward end-to-end systems that handle OCR, layout, and translation in one streamlined process. This blog explores how researchers and industry leaders are breaking barriers in document image translation and why it matters for businesses, researchers, and global communication. What Is Document AI Translation? Document AI translation is a next-generation approach that goes beyond simple OCR and text conversion. Instead of breaking down the process into multiple steps, end-to-end AI models handle the entire translation workflow in a single system. This means: Faster translation with fewer errors Better preservation of do...

VibeVoice: Microsoft’s New AI Breakthrough in Long-Form Speech Synthesis

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Introduction Artificial intelligence is changing how we create and consume audio. Microsoft’s new VibeVoice is a revolutionary text-to-speech (TTS) model that generates up to 90 minutes of continuous, multi-speaker audio . Whether for podcasts, e-learning, or storytelling, VibeVoice opens up new possibilities for creators, educators, and developers. What Makes VibeVoice Special Unlike traditional TTS systems that handle short clips, VibeVoice can sustain long conversations with up to four different speakers . The voices flow naturally, maintaining consistency and rhythm across lengthy dialogues. It’s not just about duration—VibeVoice also brings expressiveness and realism . Listeners experience natural pauses, intonations, and even subtle variations that make AI speech sound closer to human conversation. The Technology Behind VibeVoice Smart Tokenization VibeVoice uses a unique method of breaking down audio into tokens. This allows the system to process speech efficiently while...

Whispering: The Open-Source, Local-First Transcription App You Need to Know

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In today’s fast-paced digital world, transcription tools are becoming an essential part of daily workflows. From journalists and content creators to students and professionals, everyone needs a reliable way to turn speech into accurate text. But here’s the challenge: most transcription apps come with hefty subscription fees and raise privacy concerns by storing data in the cloud. That’s where Whispering steps in—a new open-source, local-first transcription app designed to give you affordability, privacy, and flexibility without sacrificing accuracy. What Makes Whispering Different? Most transcription tools lock users into monthly or yearly subscriptions, often charging $10–30 per month . Whispering, on the other hand, is completely free for local transcription and offers cloud-based transcription for as little as $0.02 per audio hour . This isn’t just cost-effective—it’s revolutionary. It proves that transcription doesn’t need to be expensive to be high-quality. Key Features ...