Most data science projects begin with data, “tools” and scripts but fail to get beyond the data scientist. They hit a wall when attempting to “operationalize” the models. Netflix never implemented the algorithm that won the Netflix $1 Million Challenge. This dichotomy between enterprise and algorithms is eliminated when algorithms are built into the data management platforms. By “moving algorithms to the data”, Oracle Database and Big Data Clouds are now data management and advanced analytical platforms. Developers use SQL, R and Oracle Data Miner UI to build, evaluate and deploy advanced analytical methodologies. See how to go beyond “tools” to applications. Several Oracle “predictive” Applications will be shown as examples.
Operationalizing Machine Learning into “Predictive” Enterprise Applications
Read the full whitepaper
Premium Content: access is limited to Quest Corporate and Professional members.
Membership has its perks. Get unlimited access to the latest Oracle updates, event session replays, strategic content centers and special members-only programming, plus big discounts on conference registration, with a Quest Corporate or Professional membership. Quest is where you learn.