Building the Future of AI with Data Quality at the Forefront

Coming into the new year, we've seen and heard plenty of buzz around AI. But the underlying data is often overlooked; it's a key foundational piece that impacts AI at scale. Therefore, the proverbial data statement, 'garbage in, garbage out,' and the implications of bad data quality, is arguably the most understated AI trend. "Successful models depend heavily on rich, deep client data. Many B2B marketers put themselves at a disadvantage by trying to make predictive work on a limited set of data or data that is just plain wrong."