The proliferation of AI-derived and processed data in the era of big data is occurring against a complex backdrop of legal frameworks governing ownership of and responsibilities with regard to that ...

1. The "Data Trash" Problem: AI models are only as good as the information they ingest. For most enterprises today, data is ...

Ahmore Burger-Smidt, director and head of regulatory practice at legal firm Werksmans Attorneys. The idea that data can be owned in the traditional legal sense is a myth that businesses must abandon.

As AI becomes native to UC, clarity on data ownership will shift from being a background legal issue to a frontline ...

In a recent roundtable discussion, Roundtable anchor Rob Nelson and Jordan Fried, CEO of Immutable Holdings and NFT.com, shared their thoughts on the swiftly progressing global AI race between big ...

Transcripts are generated using a combination of speech recognition software and human transcribers, and may contain errors. Please check the corresponding audio for the authoritative record. Penny ...

In the burgeoning digital age, the concepts of data ownership and digital identity are becoming increasingly pivotal, as highlighted in a recent discussion between Roundtable anchor Rob Nelson and ...

Each AI deployment leaves the data foundation better than it found it. Inputs get cleaner. Semantics tighten. New sources get ...

This is the first in a series on what’s broken in the analytics space. Part one deals with data ownership, part two will address technology and part three will focus on people and processes. Like a ...

When we give up ownership of information and resources in favor of anywhere, any-device access, we risk trading down on security in the process. The ability to access data and resources anywhere, ...

The recorded music industry faces a structural problem: limited pricing power. Streaming has delivered global reach, but at a low, fixed price point that leaves little room for growth. Platforms are ...