SO FOR MORE ON THIS. LET'S
BRING IN THE CEO THAT THEY'RE
IT JIM LAWSON A JIM GREAT TO
HAVE YOU HERE, THANKS SO MUCH
FOR JOINING US WHAT A VERY
EXCITING DAY FOR YOU AND YOUR
COMPANY. I SO HOW EXCITE YOU
ARE TODAY AND WHAT DOES THIS
MOVE MEAN FOR AT THEIR WORK
WITH THEM FORWARD.
>> YEAH, THANKS FOR HAVING ME
ON WE'RE THRILLED TO BE HERE.
IT'S BEEN A TEN-YEAR JOURNEY
TAKE BEING A START-UP TO BEING
A PUBLIC COMPANY SO WE COULDN'T
BE MORE EXCITED, THERE'S MORE
DEMAND FOR WHAT WE'RE DOING NOW
AND MARKET
THAN EVER. AND WE'RE JUST
REALLY EXCITED TO BE ON A
BIGGER STAGE AND BE ABLE TO
TELL MORE PEOPLE IN
THE MARKETPLACE ABOUT WHAT
WE'RE DOING IN OUR THESIS AT
THE END OF THE DAY IS WE TURN
TO DIGITAL ADS AND WE
DON'T BELIEVE. YOU NEED TO KNOW
USER PROFILE INFORMATION AND
USER ID INFORMATION TO DO
THAT EFFECTIVELY MACHINE
LEARNING AND AI DATA THE OTHER
WAYS THAT WE DO THAT WE CAN
TARGET DIGITAL
ADS FOR MAJOR
ADVERTISERS IN A WAY THAT'S THE
MOST PRIVACY FORWARD METHOD OF
DOING SO AND WE THINK IT'S
GOING TO RESONATE REALLY WELL
AND IN THE PUBLIC MARKETS.
>> OKAY SO LET'S TALK ABOUT
MACHINE LEARNING HERE WHAT IS
IT EACH
MACHINE LEARNING IT'S BASICALLY
GOING TO CALM THE THE FUTURE OF
ADVERTISING WHAT MAKES IT SO
EASY HERE THAT MAKES YOU GUYS
SO ATTRACTIVE.
DIGITAL
PLATFORMS AND.
>> THE END OF THE DAY THERE ARE
BILLIONS OF OF DIGITAL AD UPPER
COMMUNITIES THAT
ADVERTISERS ARE VALUING EVERY
GAME WHEN THEY THINK WHERE DO I
ADDITIONAL ADS IN THE PART
MATIC MARKETPLACE. THERE'S
BILLIONS
OF OPTIONS AND THE MOST
PREVALENT METHOD OF
PROGRAMMATIC D S P'S
HISTORICALLY HAS BEEN
TO TURN IT USER IDS AND
DEGENERATE PROFILES OF USERS
AND UP AND IDS THOSE USERS AND
THEN FIND THOSE USED AS WELL
THEY ARE ACROSS THE INTERNET
WHETHER IT'S A COOKIE ID INJURY
TARGETING SOMEONE. AFTER THE
ENGAGE CONSUMPTION OF MEDIA OR
BUY A PRODUCT OR SERVICE.
OUR THESIS IS DIFFERENT OUR
THESIS IS THAT THERE'S A LOT OF
DATA AVAILABLE ABOUT
AD IMPRESSIONS IN REAL TIME
THAT YOU CAN USE IN SHEEN
LEARNING ENVIRONMENT
TO DETERMINE. THIS STATISTICAL
LIKELIHOOD THAT AN IMPRESSION
IS GOING TO DRIVE VALUE FOR
AN ADVERTISER AND TO DO THAT
YOU DO NOT NEED
TO KNOW PERSONAL INFORMATION OR
INDIVIDUALIZED INFORMATION
ABOUT EVERY PERSON BEHIND EVERY
SCREEN.
>> THAT'S INTERESTING BECAUSE
YOU WOULD ALMOST THINK MOST
COMPANIES WOULD WANT ALL OF
THAT DATA THEY WANT AS MUCH
POSSIBLE INFORMATION ABOUT
WHO'S ON THE OTHER SIDE OF THE
SCREEN. BUT ALSO HOW DOES
CONSUMER PRIVACY SHORT OF
WORKING AND ESPECIALLY WHEN
YOU'RE LOOKING AT MACHINE
MORNING HERE. IT IS OUR DATA
INNER INFORMATION PROTECTED
WHEN AD AGENCIES ARE USING
MACHINE LEARNING HERE.
>> YOU'RE EXACTLY RIGHT.
I THINK A
LOT OF A LOT OF PEOPLE HAVE
SEEN AND WE'LL GET
UP TO THE ABUSES THAT HAVE
TAKEN PLACE IN ADVERTISING SOME
OF THE BIGGER COMPANIES LIKE
FACEBOOK WE'VE
READ ABOUT THE ABILITY OF
FACEBOOK AND COMPANIES TO
REALLY JUST. IT EXPLOITS THE
INFORMATION THAT THEY RECEIVED
ABOUT
THEIR USERS AND TO HAVE REALLY
OVERLY PERSONALIZED
USE OF DATA IN AD TARGETING THE
GOOD NEWS. ROSS IS WE CAN
INGEST.
A NUMBER OF DATA SIGNALS
ABOUT AD OPPORTUNITIES WE CAN
RUN THEM THROUGH CUSTOM MACHINE
LEARNING MODELS AND THEY CAN
TELL US THEY CAN TELL OUR
ADVERTISERS WHERE THE LIKELY
CONVERSIONS ARE GOING TO BE AND
WE DON'T CARE ABOUT WHO THE
PERSON BEHIND THIS GREEN IS
IT'S AN OPPORTUNITY TO SERVE
MEDIA ON A GIVEN PUBLICATION OR
WITHIN CERTAIN CONTENT AND THE
QUESTION WE ASK OURSELVES FOR
OUR
ADVERTISERS IS IS THIS
IMPRESSION OF THE AMONG THE
BILLIONS OF
OTHER IMPRESSIONS IS THIS GOING
TO DRIVE VALUE FOR CUSTOMERS, A
HOTEL IS THIS GOING TO LEAD TO
A BOOKING A HOTEL. IF THIS IS A
CREDIT CARD COMPANY OR BANK
ARE WE GOING TO DRIVE AN ACTUAL
BUSINESS OUTCOME FOR THEM.
IF WE PURCHASE THIS AD
IMPRESSION IN
PLACE AND AND ON THIS AD
IMPRESSION FOR THAT CUSTOMER SO
WE'RE MAKING MILLIONS OF
DECISIONS
A SECOND WITH THAT IN MIND OUR
OBJECTIVE IS STRIVING RETURN ON
AD SPEND FOR
OUR ADVERTISERS. IF WE DO THAT
WE WILL PERFORM VERY
>> THIS IS ALL REALLY EXCITING
ESPECIALLY WHERE THE FUTURE OF