I had the opportunity to attend VentureBeat Transform last week (thanks Capital One!), and not surprisingly the content centered on AI. The event content went beyond the GenAI basics we’ve been seeing over the past couple of years to some of the next order effects. While I won’t attempt to cover everything, these are a few of my key takeaways.
The combinatorial effects of quantum and AI: Where quantum helps AI through quantum ML, neural networks, quantum models running on quantum data, quantum models running on classical data; and AI helps quantum through quantum ML and optimizing circuits for quantum computers to run code assist and other processes.
Bits + Neurons + Qubits: The conversation is no longer about only GPUs, TPUs, and bits, but on the interplay between bits (CPU/GPU/TPU), neurons (ML models and AI) and qubits (quantum computing).
Agentic AI: Several speakers referenced Agentic AI, the concept of AI agents designed to focus on specialized tasks with higher levels of autonomy, and the complimentary idea of AI personas (e.g. business, tech, product personas on an application team, or the coding agent, code review agent, and testing agent as part of the software delivery lifecycle). Agentic AI enables multi-turn workflows.
The rise of Artifacts: AI Artifacts are reusable outputs created from AI processes, particularly from RAG models. These can be saved, shared, and further built upon by others to advance AI applications and research.
Beyond these and other topics, I also appreciated the sessions on the impact of women leaders in GenAI development (shout out to Aparna Sinha) and the women in AI awards, as we continue to recognize the importance of broad and diverse contribution to the field of AI.
Finally, I was wowed by several demos, including codium.com, Pika.art and aihub.instabase.com.
Overall, I found it to be a very worthwhile conference, with a good balance between innovators in the space and use cases from companies across fintech (another shout out for Capital One), healthcare, consumer design, content, and more. I came away inspired to dive deeper on these topics, and was reminded to tune in to the VentureBeat podcast for more AI developments.
Kathleen Codes 