The data and technology industry is experiencing a significant transformation, driven by accelerated computing and the rise of AI. Modern cloud-native data platforms are evolving, with open table formats and open-source governance becoming increasingly important. This shift presents both challenges and opportunities for enterprises and tech providers alike.
The Data Gang's predictions for 2025 highlight the emergence of personal AI agents and a renewed focus on data governance. As organizations transition from AI pilots to full-scale implementations, the need for robust security measures becomes critical to mitigate risks associated with expanding AI applications.
• AI spending has surged, with ML/AI leading sector investments.
• Personal AI agents are expected to automate everyday tasks by 2025.
Generative AI refers to algorithms that can create new content, such as text or images, based on learned patterns from existing data.
LAMs focus on predicting the next action in a sequence, enhancing decision-making across enterprise applications.
Knowledge graphs represent relationships between data points, enabling AI to interpret and utilize information more effectively.
OpenAI has rapidly gained prominence in enterprise AI, becoming a key player in the AI landscape by 2025.
Microsoft's collaboration with OpenAI has made it a significant force in AI, enhancing its cloud services with advanced AI capabilities.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.