Seagate Technology (STX) The Six Five Summit: AI Unleashed 2026 summary

Evolution of data storage and technology

• Data storage has shifted from personal devices to data centers, with 80% of the world's data now residing in data centers and this share rapidly increasing.

• Advances in hardware and software have enabled more efficient, integrated data architectures, reducing layers and handoffs between applications and storage.

• Cloud service providers have set new standards in architectural efficiency, influencing broader industry adoption and edge computing strategies.

• Object stores and faster memory layers now allow for cheaper, more effective storage and retrieval of large data volumes.

• Machine learning and AI applications are maturing, driven by improvements in compute layers and storage technologies.

Strategic importance of unstructured data

• Unstructured data is becoming more valuable due to improved accessibility, compute power, and advanced algorithms.

• Many organizations have lost opportunities by deleting data prematurely, with 55% of surveyed CIOs reporting financial losses from such actions.

• Companies are increasingly recognizing the need to retain data for longer periods to extract future value.

• The concept of cold storage is becoming less relevant as nearline storage becomes the preferred, more accessible option.

• Efficient data ingestion and flexible storage durations are now critical to organizational strategy.

Organizational and leadership shifts

• Data infrastructure strategy requires cross-functional collaboration, not just IT or CIO oversight.

• New leadership roles such as Chief Data Officer and Chief AI Officer are emerging, but effective strategies rely on teams working together.

• Data management must be both top-down and bottom-up, with organizational agility and awareness of AI techniques essential for success.

• Business leaders must continuously adapt data strategies to keep pace with rapid technological change.