DataForce

Behind every successful multilingual LLM is high-quality training data. When our client set out to expand its model globally, DataForce delivered a multilingual dataset on schedule, helping improve comprehension, translation accuracy, and natural language generation across supported languages. 🔗 Read the full success story: https://lnkd.in/eTqkndwb #TrainingData #AI #LLM #DataForce

Voice AI is evolving faster than ever, and as the technology advances, so do the data requirements behind it.🗣️ Join us for the next edition of DataForce Live as Dr Dorota Iskra Iskra sits down with industry experts Monika Podsiadlo and Andrew Breen to discuss the latest developments in voice generation and what they mean for data strategies. Whether you're building conversational AI, developing speech technologies, or preparing your organization for the next generation of AI, this session will provide practical insights into where voice AI is headed. 📅 July 16, 2026 🕙 10:00 AM ET | 4:00 PM CET 👉 Reserve your spot today: https://lnkd.in/e43RN3mu #TTS #VoiceAI #DataForce

When AI systems underperform, the instinct is often to blame the model. But what if the real problem starts with the data? ⚠️ Many of today’s biggest AI challenges originate long before a model is deployed, whether from data contamination or data scarcity. In our latest blog, we explore why solving problems at the data layer is essential for building reliable and scalable AI systems. 👉 Check out our latest blog: https://lnkd.in/ePcCTHqU #DataQuality #DataGovernance #DataForce

DataForce helped a major European supermarket chain evaluate two promotional campaigns through a structured consumer perception study, uncovering insights on engagement, authenticity, and audience preferences across demographic groups. The result: data-driven feedback to support smarter marketing decisions.🛒 🔗Read the full success story: https://lnkd.in/eE8HDpBM #MarketResearch #ConsumerStudy #DataForce

What happens when high-quality online data becomes harder to find? For AI developers, the answer may not be more data. It may be better insight into how people actually interact with AI systems.💻 In our latest webinar, we discussed why user experience data is becoming increasingly valuable and how it can help organizations build AI applications that users trust, adopt, and continue to use. Our latest blog takes a deeper look at why UX data may be the next frontier in AI development. 🔗 Read more: https://lnkd.in/dix7eXge #DataQuality #UX #DataForce

Last week on DataForce Live, Alexandros Poulis and Radosław Jeż explored one of the biggest challenges facing AI development today: data. From data contamination and quality concerns to bias, compliance, and the growing importance of user experience data, the discussion highlighted why successful AI systems require more than just powerful models. They depend on the data behind them.📊 Missed the conversation? 📽️Watch the full webinar and hear the insights firsthand: https://lnkd.in/eevWQ_x9 #DataCollection #AITraining #DataForce

How do you know your AI training data is truly high quality without reviewing every task? As projects scale, 100% manual QA becomes a bottleneck: slow, expensive, and still easy to miss issues. You need a reliable way to measure quality without burning out your team. Introducing QC Sampling. Choose your confidence level, margin of error, and quality threshold. The system calculates the exact statistically valid sample size you need. QC Jobs are automatically generated from randomly selected tasks, your QA team reviews them, and you get a clear pass/fail against your quality bar. Then QC results can automatically route tasks based on rules you define, with no manual follow-up required. Stop over-reviewing. Start sampling smarter. QC Sampling is available now. Enable it at the project level: https://lnkd.in/e7rTPc8d

As AI models become more advanced, the challenge is no longer just building them. It’s supplying the high-quality, scalable data needed to keep them accurate, reliable, and relevant. Read our latest blog to explore what’s holding AI systems back, and how organizations can build stronger data strategies for long-term model performance: https://lnkd.in/eJMvE3KT #ModelTraining #DataQuality #DataForce

The DataForce team has landed in Palma de Mallorca! ☀️ Day 1 at LREC has been incredible, from insightful conversations on the latest advancements in NLP, speech, and multimodality to connecting with fellow innovators shaping the future of AI. Stop by Booth 3 to meet the team and learn how DataForce can support your next project. See you there! Learn more: https://lrec2026.info/ Amy Milligan Dr Dorota Iskra Rachid Daou