Generative AI has the potential to change business operations across a vast range of sectors. In terms of securing business growth, the GenAI revolution cannot be understated. With projections suggesting that the global generative AI market size is set to reach $967.65 billion by 2032, representing a CAGR of 39.6%, it's clear that the artificial intelligence boom … [Read more...] about How Generative AI is Quietly Transforming How Businesses Grow
Data
Blockchain for Identity Verification: Securing Customer Data in Banking
Imagine a world where banking is faster, safer, and more secure. Blockchain technology provides that and it's already changing the banking sector's identity verification game.We're all too familiar with the frustration of lengthy, complicated verification processes and the constant threat of identity theft. But with Blockchain, you can streamline these processes, eliminate … [Read more...] about Blockchain for Identity Verification: Securing Customer Data in Banking
Modern Data Quality Summit 2024
The world is experiencing a data revolution, led by AI. However, only 48% of AI projects reach production, taking an average of 8.2 months. This shows the need for AI-readiness and quality data. At the Modern Data Quality Summit 2024, we offer insights into best practices, innovative solutions, and strategic frameworks to prepare your data for AI and ensure successful … [Read more...] about Modern Data Quality Summit 2024
How Cultural Differences Impact Sentiment Analysis
Artificial intelligence's sentiment analysis ability has potential, but certain obstacles slow its progression. This technology's inability to account for subtle cultural differences in language may be responsible for its low penetration rate. Why do algorithms struggle with culture? Does a solution exist yet? The Issue With Conventional Sentiment Analysis A natural language … [Read more...] about How Cultural Differences Impact Sentiment Analysis
What Is MLOps, and Why Do We Need It?
Making the leap from a proof-of-concept to a production-ready application is one of the hardest tasks in the field of machine learning. The point is that ML models that perform flawlessly in a lab environment frequently fail when applied to real-world scenarios. Only 32% of data scientists surveyed say their ML models usually deploy. The pervasive failure of AI/ML projects … [Read more...] about What Is MLOps, and Why Do We Need It?
