Abstract:

Arti­fi­cial Intel­li­gence (AI) is solv­ing prob­lems that seemed well beyond our reach just a few years back. Using deep learn­ing, the fastest grow­ing seg­ment of AI, com­put­ers are now able to learn and rec­og­nize pat­terns from data that were con­sid­ered too com­plex for expert writ­ten software.

AI is being dri­ven for­ward by leaps in com­put­ing pow­er that defy the slow­down in Moore’s law and is enabling a new way of writ­ing soft­ware. As Moore’s law comes to an end, GPU com­put­ing per­for­mance, pow­ered by improve­ments in every­thing from sil­i­con to soft­ware, surges.

Today, deep learn­ing is trans­form­ing every indus­try, includ­ing auto­mo­tive, health­care, retail and finan­cial ser­vices. This intro­duc­tion to deep learn­ing will explore key fun­da­men­tals and oppor­tu­ni­ties, as well as cur­rent chal­lenges and how to address them.

High­lights include:

• Demys­ti­fy­ing Arti­fi­cial Intel­li­gence, Machine Learn­ing and Deep Learning
• Key chal­lenges orga­ni­za­tions face in adopt­ing this new approach
• How GPU deep learn­ing and soft­ware, along with train­ing resources, can deliv­er break­through results
• Dis­cus­sion on joint NVIDIA and SAP efforts

Speak­er:

Jim McHugh, VP and GM of Deep Learn­ing Systems

Speak­er Bio:

Jim McHugh is vice pres­i­dent and gen­er­al man­ag­er at NVIDIA with over 25 years of expe­ri­ence as a mar­ket­ing and busi­ness exec­u­tive with start­up, mid-sized, and high-pro­file com­pa­nies. He cur­rent­ly leads NVIDIA Deep Learn­ing Sys­tems – NVIDIA DGX Sys­tems and NVIDIA GPU Cloud . Jim focus­es on build­ing a vision of orga­ni­za­tion­al suc­cess and exe­cut­ing strate­gies to deliv­er com­put­ing solu­tions that ben­e­fit from GPUs in the data cen­ter. He has a deep knowl­edge and under­stand­ing of busi­ness dri­vers, market/​customer dynam­ics, tech­nol­o­gy-cen­tered prod­ucts, and accel­er­at­ed solutions.

Speak­er:

Paul Kurchi­na, Con­nec­tor, Ana­lyst, and Com­mu­ni­ty Catalyst 

Speak­er Bio:

Hav­ing spent over 25 years improv­ing busi­ness oper­a­tions with SAP and oth­er indus­try tech­nolo­gies as both a cus­tomer and as a con­sul­tant, Paul Kurchi­na is a Con­nec­tor, Ana­lyst and Com­mu­ni­ty Cat­a­lyst focused on the SAP and the SAP Ecosys­tem. He focus­es on the role of The Con­nec­tor, as Mal­colm Glad­well defines it in The Tip­ping Point: ​“Peo­ple in a com­mu­ni­ty who know large num­bers of peo­ple and who are in the habit of mak­ing introductions.”

Tak­ing a broad view of the over­all indus­try and using a large net­work of stake­hold­ers, Paul proac­tive­ly seeks to bring peo­ple togeth­er who will ben­e­fit from shar­ing their mutu­al expe­ri­ences and busi­ness know-how. And as Indus­try Ana­lyst, he keeps track of devel­op­ments in exist­ing and new tech­nolo­gies to improve busi­ness per­for­mance of corporations.

Since join­ing ASUG in 1993, Paul has held vol­un­teer lead­er­ship posi­tions in mul­ti­ple com­mu­ni­ties, includ­ing util­i­ties, plant main­te­nance, cen­ters of excel­lence, enter­prise archi­tec­ture, and enter­prise por­tals. He has also served two terms on the ASUG Board of Direc­tors. Cur­rent­ly, Paul’s pri­ma­ry busi­ness client is the Amer­i­c­as’ SAP Users Group ( ASUG ).