This web­cast will take a deep dive into machine learn­ing use cas­es that are alter­ing decade-old, entrenched busi­ness prac­tices. Join David Baron,  an expert in orga­ni­za­tion­al strat­e­gy and per­for­mance man­age­ment, as he explains how South­ern Cal­i­for­nia Gas Com­pa­ny (SoCal­Gas) intro­duced machine learn­ing in its col­lec­tions depart­ments to deter­mine which cus­tomers are accus­tomed to pay while pre­dict­ing which cus­tomer accounts are most like­ly to be writ­ten off as bad debt.

You will also learn how SoCal­Gas uses advanced meters to build load pro­files, usage pat­terns with autore­gres­sive mod­els, and deep learn­ing net­works through machine learn­ing approaches. 

The rise of machine learn­ing is chang­ing busi­ness prac­tices, rais­ing cus­tomer expec­ta­tions, and improv­ing busi­ness results. Explore how you can be part of the changes that are affect­ing both inter­nal and exter­nal cus­tomer expectation. 

Key take­aways:

• Under­stand how machine learn­ing fits into orga­ni­za­tion­al culture.
• Learn pro­gres­sive use cas­es that take advan­tage of machine learn­ing approaches.
• Gain insights into future machine learn­ing applications.

This web­cast fea­tures a top-rat­ed speak­er from the 2018 SAP for Util­i­ties con­fer­ence. Hear more on SAP solu­tions for the util­i­ties indus­try at the 2019 event tak­ing place on Oct. 21 – 23 in San Diego.

Time­stamps

• 1:30 – Speak­er introduction
• 2:25 – Key out­comes and pre­sen­ta­tion objectives
• 3:25 – What is machine learning?
• 5:00 – A brief his­to­ry of machine learning
• 11:20 – Machine learn­ing today
• 13:05 – Machine learn­ing poten­tial uti­liza­tion by industry
• 14:45 – The moti­va­tion for machine learn­ing at SoCalGas
• 18:05 – Intro­duc­ing machine learn­ing to SoCalGas
• 20:15 – Cur­rent machine learn­ing work at SoCalGas
• 31:05 – On the machine learn­ing roadmap
• 36:30 – Q&A