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Data Science is Dead

Blaz Stojanovic  (Applied ML Engineering, Kumo.ai)

Location: Room 32A

Date: Wednesday, October 23

Time: 11:50 am - 12:30 pm

Pass Type: All Access, Main Conference, Digital

Theme: Data Science

Session Type: Session

Track: AI & Machine Learning

Vault Recording: TBD

Audience Level: Intermediate

Months of effort for a 1% improvement means that traditional data science methods have reached their limits. Intelligent data science breaks through that barrier by reshaping the machine learning lifecycle using AI and unlocking the next echelon of value from enterprise data.

· Accelerate model creation and performance
· Eliminate the need for feature engineering
· Deliver model improvements of up to 45%

Intelligent data science delivers answers in hours and allows data scientists to apply their domain expertise to test hypotheses and further refine AI generated models. Used to drive revenue KPIs like engagement, sales, and conversion, learn how and why intelligent data science is upending an entire industry.

Takeaway

  • What is intelligent data science
  • Best practices and considerations
  • Redefining the strategic role of data scientists and machine learning engineers
  • The new ML lifecycle
  • Measurable outcomes from real use cases