“We use Databricks as our, as that data layer, and we use Snowflake to do very specialized analytical database workloads that it's very, very good at.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Jack Berkowitz
Disclosure
ADP aims to measure and reveal AI bias rather than eliminate it
“And what we said was, is that we don't believe that bias doesn't exist. In fact, we believe it does exist. And so our role isn't to mitigate all bias, but our role is to at least measure it, understand it, and express it, and make sure that people understand i…”
Jack BerkowitzNov 17, 2022▶ 32:40Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
AssertionNot checkable as stated
ADP operates large language models in full production
“We're in full production on top of some of those large, large language models.”
Jack BerkowitzNov 17, 2022▶ 7:08Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
AssertionPartly supported
Jack Berkowitz says ADP moved $3.2 trillion in money transactions last year
“So last year we moved about 3.2 trillion dollars.”
Jack BerkowitzNov 17, 2022▶ 1:04Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
AssertionNot checkable as stated
ADP uses ML to reduce 21 million job titles into 7,000 categories
“So in any given month, right, those forty million people, there's about twenty one million job titles. We run some pretty sophisticated, ah, machine learning to boil that down to about 6000, ah, or now 7000 key job categories.”
Jack BerkowitzNov 17, 2022▶ 3:29Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
AssertionPartly supported
ADP pays roughly 20 percent of all workers in the United States
“We pay in the US, you know, something like 18 or 20% of people, and then we do the taxes on another You know, similar size.”
Jack BerkowitzNov 17, 2022▶ 10:24Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
Disclosure
ADP rejected federated queries to maintain a centralized analytics repository
“The piece we didn't bring from the data mesh was the notion of federated query. Because the problem with federated query is the latency of the query is the worst performing member of the federated group. Right? And so we still have a centralized data repositor…”
Jack BerkowitzNov 17, 2022▶ 14:20Leveraging People Data at Scale | ADP Chief Data Officer, Jack Berkowitz
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