Few tech com­pa­nies have shaped com­put­ing like Intel has since its ​“Intel inside” cam­paign decades ago. Yet today, as SAP cus­tomers nav­i­gate a land­scape of hyper­scalers, AI accel­er­a­tors, and cloud migra­tion, Intel’s foun­da­tion­al role has para­dox­i­cal­ly become more crit­i­cal and less visible.

Accord­ing to Jan Krueger, Account Direc­tor & CTO for Team SAP with­in Intel’s Sales and Mar­ket­ing Group, the behind-the-scenes dynam­ic defines Intel’s approach to the SAP ecosys­tem. Draw­ing on decades of expe­ri­ence inte­grat­ing Intel® Xeon® proces­sors into SAP envi­ron­ments and spear­head­ing the company’s tech­ni­cal strat­e­gy for SAP work­loads, Mr. Krueger embraces Intel’s unique posi­tion: ​“Even though we are not often seen as front and cen­ter, we are run­ning SAP work­loads across the board.” 

This behind-the-scenes part­ner­ship spans over 25 years and oper­ates along what he calls ​“two swim lanes”: ensur­ing SAP’s diverse port­fo­lio per­forms opti­mal­ly while simul­ta­ne­ous­ly empow­er­ing cus­tomers in het­ero­ge­neous environments. 

In these lanes, Intel enables every­thing from SAP ERP, start­ing with SAP ECC and SAP Suite to the lat­est S/4HANA sys­tems to cut­ting-edge AI imple­men­ta­tions. Whether an estab­lished enter­prise or a nim­ble start-up, com­pa­nies of all sizes ​“can ben­e­fit from this part­ner­ship because it dri­ves their suc­cess at the end of the day,” not­ed Mr. Krueger. 

Beyond the SAP ecosys­tem lies the real­i­ty of enter­prise com­put­ing: most orga­ni­za­tions main­tain diverse tech­nol­o­gy stacks, with pro­cess­ing needs extend­ing from hyper­scaler data cen­ters to fac­to­ry-floor edge devices. Here, Intel’s con­sis­tent archi­tec­ture facil­i­tates work­load porta­bil­i­ty and hor­i­zon­tal scal­a­bil­i­ty that would oth­er­wise be next-to-impossible. 

In a recent con­ver­sa­tion with ASUG, Mr. Krueger pro­vid­ed insights into Intel’s part­ner­ship with SAP and detailed Intel’s approach to AI imple­men­ta­tion, hybrid envi­ron­ment sup­port, and the capa­bil­i­ties of their new Intel® Xeon® 6 proces­sor port­fo­lio.

This inter­view has been edit­ed and condensed.

Q: How does Intel’s long-stand­ing rela­tion­ship with SAP help it stay agile with emerg­ing tech­nolo­gies like large lan­guage mod­els, and what spe­cif­ic role does Intel play in mak­ing these inno­va­tions tech­ni­cal­ly viable and prac­ti­cal­ly profitable? 

SAP ben­e­fits from this part­ner­ship by get­ting access to Intel tech­nol­o­gy much ear­li­er than the rest of the mar­ket. If they had to wait until Intel’s prod­uct launch to make deci­sions on sup­port, and fea­ture adop­tion, they would lose a lot of time to bring those ben­e­fits to customers. 

We share infor­ma­tion ear­ly with SAP’s engi­neer­ing teams. We have co-devel­op­ment ini­tia­tives, task-find­ing activ­i­ties, and research activ­i­ties where SAP works with us to deter­mine which tech­nolo­gies to use, where they help most, and how to pro­duc­tize them. This ensures new tech­nolo­gies work joint­ly on plat­forms that pro­vide resilien­cy, secu­ri­ty, and stability.

With AI, we’re work­ing on the next iter­a­tion beyond the hype — turn­ing mod­els into use that gen­er­ates ben­e­fits and rev­enue. We’re at an inflec­tion point where SAP is start­ing to turn AI appli­ca­tions into prof­itabil­i­ty streams.

We help SAP with scal­able infra­struc­ture to run dif­fer­ent LLMs in ways that become prof­itable solu­tions. SAP’s strat­e­gy is part­ner­ing, not devel­op­ing mod­els them­selves, but fine-tun­ing and opti­miz­ing them for their mar­ket segment.

Q: SAP recent­ly announced Busi­ness Data Cloud, which inte­grates Data­bricks and oth­er tech­nolo­gies. How is Intel’s part­ner­ship with SAP evolv­ing to sup­port these new­er cloud-based offer­ings, and what unique val­ue does your tech­nol­o­gy bring to this ecosystem? 

We tend to focus on the estab­lished part of the busi­ness at SAP. Over the last cou­ple of years, SAP has trans­formed into every­thing as a ser­vice, RISE, and now with AI and solu­tions like Busi­ness Data Cloud (BDC). 

We main­tain focus on the estab­lished busi­ness because there are still a lot of cus­tomers ask­ing for our solu­tions. Most of what we do applies to SAP RISE as well because the software’s opti­miza­tions and ben­e­fits are the same as on self-host­ed or co-locat­ed SAP land­scapes out­side SAP RISE. The same soft­ware is now run­ning in the cloud on hyper­scalers’ infra­struc­ture, but the ben­e­fits remain. 

Now, SAP is ben­e­fit­ing direct­ly from the Intel advan­tage because it is run­ning the soft­ware and main­tain­ing the infra­struc­ture as part of the SAP RISE offer­ing. That’s why we also part­ner with Microsoft, Google, and AWS to ensure that what we’ve achieved tran­si­tions into this new era, where SAP is the man­aged ser­vice provider through SAP RISE.

For solu­tions like BDC, cus­tomers ben­e­fit from Intel part­ner­ing with cloud-native com­pa­nies. Intel has been work­ing with Data­bricks over the past cou­ple of years, sim­i­lar to what we’ve done with SAP, mak­ing sure the solu­tions run effi­cient­ly, per­form opti­mal­ly, and remain resilient on Intel-based cloud instances. BDC inher­its ben­e­fits that Intel and Data­bricks have put togeth­er, as well as ben­e­fits dri­ven by Intel and SAP. 

With BDC, indi­vid­ual part­ner­ships have turned into mul­ti-com­pa­ny part­ner­ships — Intel, SAP, Data­bricks, Microsoft Azure, Ama­zon Web Ser­vices, and Google Cloud Plat­form all host SAP ser­vices. In the AI space, Busi­ness AI is turn­ing into agen­tic AI, but many of these are infer­ence-based work­loads. SAP is tak­ing data from BDC and SAP RISE and uti­liz­ing this busi­ness process exper­tise to turn them into cus­tomer value. 

Many of these work­loads run on Intel plat­forms, though some use oth­er ven­dors for AI accel­er­a­tion. Intel is catch­ing up in the AI accel­er­a­tor mar­ket with our recent­ly released Intel Xeon 6 proces­sor fam­i­ly and Intel® Gau­di® 3 AI Accel­er­a­tors. We are opti­mistic that with the intro­duc­tion of Intel Gau­di 3‑based instances with our hyper­scaler part­ners, SAP will be able to use them for their solu­tions as well.

Q: The mar­ket for AI hard­ware is evolv­ing rapid­ly, with ded­i­cat­ed accel­er­a­tors becom­ing increas­ing­ly impor­tant. Could you elab­o­rate on Intel’s approach to AI accel­er­a­tion, par­tic­u­lar­ly how it dif­fers from com­peti­tors and address­es the spe­cif­ic needs of SAP workloads? 

Regard­ing AI accel­er­a­tors, the mar­ket per­ceives an AI accel­er­a­tor as a ded­i­cat­ed hard­ware com­po­nent, like an Intel Gau­di or Nvidia GPUs. But for Intel, accel­er­a­tors have also always been present on our CPUs. We have had many dif­fer­ent accel­er­a­tors on our CPU for over 20 years, such as cryp­tog­ra­phy accel­er­a­tors that encrypt data much more effi­cient­ly than software.

For a cou­ple of years, we have had Intel Xeon accel­er­a­tors for AI-relat­ed func­tion­al­i­ty, like our Intel® Advanced Matrix Exten­sion (AMX), which accel­er­ates the foun­da­tion­al vec­tor oper­a­tions of large lan­guage mod­els uti­lized for embed­dings or infer­enc­ing services. 

Intel has a long his­to­ry devel­op­ing accel­er­a­tors and has entered the mar­ket with Intel Gau­di AI accel­er­a­tors, cur­rent­ly in 3^rd gen­er­a­tion – Intel Gau­di 3. We expect it to pro­vide access to Intel Gau­di 3‑based instances via the hyper­scalers and OEMs through­out this year. 

Like any oth­er tech­nol­o­gy, there is no one-size-fits-all. SAP pro­vides mul­ti­ple ser­vices and solu­tions for AI, and they are gen­er­al­ly imple­ment­ing a Retrieval- Aug­ment­ed Gen­er­a­tion (RAG) that uti­lizes var­i­ous com­po­nents, includ­ing ground­ing or embed­dings for spe­cif­ic ref­er­ence data, so that the respons­es are based on fac­tu­al con­tent. Often, light­weight LLMs are suit­able for embed­dings or ground­ing ser­vices, but these work ide­al­ly on Intel Xeon proces­sors. Intel Gau­di 3 accel­er­a­tors sup­port the needs of larg­er mod­els — above 20B para­me­ters and high-per­for­mance use cases. 

We are see­ing the mar­ket deploy­ing LLMs and RAGs onto Intel Xeon-based plat­forms, since it opti­mizes the over­all costs, accel­er­ates the time to mar­ket, and final­ly enables high­er prof­itabil­i­ty. Any AI accel­er­a­tor comes at an addi­tion­al cost, there­fore a company’s choice between CPU and AI Accel­er­a­tor usage can impact enter­prise success. 

SAP ben­e­fits from using Intel Xeon-based accel­er­a­tors for var­i­ous parts of the port­fo­lio, and we are con­tin­u­ing to sup­port SAP’s AI strat­e­gy with our prod­uct fea­tures. Our focus is enabling AI use cas­es so that com­pa­nies like SAP can turn them into prof­itable solu­tions. If it doesn’t become prof­itable, it’s not sustainable.

Q: Beyond sup­port­ing SAP’s AI ini­tia­tives, many orga­ni­za­tions want to devel­op their own AI solu­tions. How is Intel help­ing these cus­tomers build effec­tive AI imple­men­ta­tions while address­ing the crit­i­cal con­cerns around data pri­va­cy, secu­ri­ty, and reg­u­la­to­ry compliance? 

Help­ing peo­ple reach a com­mer­cial­ly viable solu­tion involves accel­er­a­tors in dif­fer­ent price cat­e­gories that you can choose based on your use case. 

For exam­ple, last Decem­ber, SAP HANA released an embed­ding ser­vice that allows cus­tomers to upload doc­u­ments that are trans­formed into vec­tors. When you run an LLM-based work­load, your ques­tion is matched to vec­tors in the HANA Cloud Vec­tor data­base mod­ule for accu­rate answers. 

This embed­ding ser­vice doesn’t have time crit­i­cal­i­ty — if pro­cess­ing 1000 doc­u­ments takes a few min­utes, that’s fine. This could run on an AI accel­er­a­tor in sec­onds at a high price, but run­ning on CPU takes a bit longer at a much low­er price point. 

Out­side the SAP con­text, Intel inte­grat­ed an open­source project under The Lin­ux Foun­da­tion called Open Plat­form for Enter­prise AI (OPEA). This is an open, stan­dard­ized plat­form where many ven­dors par­tic­i­pate to pro­vide a freely avail­able plat­form for any Gen AI use case. 

The OPEA plat­form has already 10+ use cas­es and 20+ Sam­ple Appli­ca­tions imple­ment­ed, such as ChatQ­nA, Code­Gen, Code­Trans, Doc­Sum or trans­la­tion ser­vices. Cus­tomers can run these con­tain­er-based Kuber­netes solu­tions any­where on-prem with our part­ners like Dell or con­sume it via the hyper­scalers’ mar­ket­places at AWS or self-host­ed in cloud instances.

OPEA has a mod­u­lar, API-dri­ven archi­tec­ture that allows you to replace com­po­nents with­in the infra­struc­ture. If you don’t want to use the Redis data­base for stor­ing vec­tors, you can replace it with HANA Cloud Edi­tion or Mon­goDB. Sim­i­lar­ly, with LLMs, you can swap in mod­els that bet­ter suit your lan­guage needs or point to oth­er API-based LLM ser­vices like Ope­nAI. Con­verse­ly, it also allows you to move from API-based Ope­nAI usage to open-source, self-host­ed LLM usage. 

Cost-relat­ed opti­miza­tions, like run­ning LLMs on CPU or choos­ing dif­fer­ent accel­er­a­tors, only requires chang­ing a con­fig­u­ra­tion file. The com­plex inte­gra­tion is already done by Intel and oth­er con­trib­u­tors of OPEA. 

For federated/​confidential AI, secu­ri­ty has already been imple­ment­ed into the plat­form. Intel uses two tech­nolo­gies: Intel® Soft­ware Guard Exten­sions (Intel® SGX), an enclave tech­nol­o­gy Intel has offered for many years, allows run­ning AI pro­cess­ing with con­fi­den­tial infor­ma­tion inside a ​“safe” where noth­ing goes in or out, and sec­ond­ly Intel® Trust Domain Exten­sion (Intel® TDX) that runs the entire VM / Con­tain­er in a pro­tect­ed, encrypt­ed ​“safe.” Intel SGX offers a very small Trust­ed Com­pute Base (TCB), imple­ment­ed through the appli­ca­tion, while Intel TDX TCB is extend­ed and allows an entire VM / Con­tain­er to run con­fi­den­tial­ly. Both have pros and cons for cus­tomers, but both ensure data used in AI ser­vices will remain secure dur­ing its pro­cess­ing, not just at rest or transport. 

Both imple­ment­ed via OPEA pro­vide ease of use for cus­tomers want­i­ng con­fi­den­tial­i­ty or pri­va­cy preser­va­tion today. They can use the same AI frame­work, addi­tion­al com­po­nents, and get all the pri­va­cy with­out imple­ment­ing the con­fi­den­tial­i­ty fea­tures them­selves. By choos­ing either Intel SGX or Intel TDX in the OPEA con­fig­u­ra­tions, and using the lat­est Intel Xeon 6 proces­sor fam­i­ly, cus­tomers are ready to run con­fi­den­tial AI.

Q: Many SAP cus­tomers oper­ate in hybrid envi­ron­ments, with work­loads span­ning cloud and on-prem sys­tems. How does Intel’s approach specif­i­cal­ly sup­port these com­plex hybrid archi­tec­tures, and what advan­tages does this pro­vide for enter­pris­es man­ag­ing diverse com­put­ing environments?

When it comes to hybrid envi­ron­ments, Intel and its OEM part­ners con­tin­ue offer­ing SAP-cer­ti­fied Intel Xeon-based plat­forms that scale from entry lev­el 2‑socket to very large 16-sock­et plat­form with up to 32TB mem­o­ry capac­i­ty avail­able to a sin­gle scale-up SAP HANA installation.

When it comes to solu­tions like SAP’s Edge Inte­gra­tion Cell, we are part­ner­ing with the ecosys­tem to pro­vide SAP cer­ti­fied plat­forms as well. Intel has a wide range of prod­ucts that can scale up or out and sup­port cus­tomers’ requirements. 

Cus­tomers can use Edge Inte­gra­tion Cell to bridge RISE or SAP BTP solu­tions with what they have on-premise. For those who run hybrid — an S/4 sys­tem on-premise and anoth­er in the cloud — it all runs on Intel. End cus­tomers have the assur­ance that whether they run the S/4 sys­tem on a Dell, HPE, or Leno­vo serv­er or on an AWS, Azure, or Google Cloud instance, the Intel Xeon proces­sor capa­bil­i­ties and fea­tures will remain the same.

Intel is behind the scenes with all these ven­dors to ensure SAP soft­ware runs with its expect­ed per­for­mance, secu­ri­ty and resilien­cy across all platforms.

Addi­tion­al­ly, the Intel Xeon 6 proces­sor with E‑Cores pro­vides a new pow­er-effi­cient plat­form for SAP land­scapes that cus­tomers can uti­lize to reduce their pow­er con­sump­tion and sup­port their sus­tain­abil­i­ty goals. 

We are also part­ner­ing with com­pa­nies like Lemon­grass, which are involved in the plat­form deci­sion-mak­ing process. They ana­lyze require­ments and rec­om­mend infra­struc­ture based on cus­tomer needs, per­haps a top-tier option with the best per­for­mance but the high­est cost, a mid­dle option, or a low­er-cost option with decent per­for­mance but few­er region­al avail­abil­i­ty options. The val­ue for SAP cus­tomers lies in the flex­i­bil­i­ty and choice Intel Xeon-based plat­forms pro­vide globally. 

With SAP RISE, SAP pro­vides the land­scape as part of its Man­aged Ser­vice Provider (MSP) offer­ing so that cus­tomers can jump-start the migra­tion process. Intel-based instances are also used for SAP RISE and pro­vide the same capa­bil­i­ties, as if cus­tomers had opt­ed for a self-man­aged approach. 

For cus­tomers that need embed­ded devices that oper­ate in harsh and reg­u­lat­ed envi­ron­ments, Intel part­ners with the ecosys­tem to pro­vide those solu­tions as well. SAP cus­tomers can run many work­loads right into the machines with high per­for­mance and more capa­bil­i­ties than ever before. 

With a cus­tomer devel­op­ing min­ing equip­ment, using Intel-based embed­ded devices allows them to process more infor­ma­tion in the vehi­cle and bring them back to SAP solu­tions via gate­ways like Edge Inte­gra­tion Cell. Intel-based plat­forms are the back­bone for this type of busi­ness suc­cess in part­ner­ship with SAP and our shared ecosystem.

Q: You’ve recent­ly launched the Xeon 6 port­fo­lio with dozens of new prod­ucts. How does this plat­form deliv­er on the promise of a tru­ly scal­able, mul­ti-pur­pose infra­struc­ture that can sup­port every­thing from cloud deploy­ments to edge com­put­ing for SAP customers? 

What you’ve out­lined is exact­ly the essence of our val­ue for the indus­try, though it’s not as vis­i­ble as we’d like. In the area of cloud com­put­ing and SAP RISE, the infra­struc­ture dis­cus­sion has his­tor­i­cal­ly moved into the back­ground, even though it’s essen­tial to busi­ness suc­cess. With­out ful­ly explor­ing the options avail­able and doing a thor­ough assess­ment, com­pa­nies risk choos­ing the wrong plat­form for their SAP land­scape which can affect their abil­i­ty to inno­vate, adopt, and grow. 

Intel just launched the Xeon 6 proces­sor port­fo­lio, con­sist­ing of Per­for­mance Core (P‑cores) & Effi­cien­cy Core (E‑cores) prod­ucts. The Intel Xeon 6 proces­sor with E‑Cores pro­vides a pow­er-effi­cient and scal­able plat­form, while the Intel Xeon 6 with P‑Cores pro­vides a very high per-Core per­for­mance: the first is more suit­able for Busi­ness Ware­house sce­nar­ios, and the sec­ond for high trans­ac­tion­al work­load scenarios.

This huge prod­uct port­fo­lio spans the ecosys­tem— on-premise, embed­ded sys­tems, tel­co sys­tems, and cer­tain­ly cloud — all based on the same Intel Xeon 6 proces­sor tech­nol­o­gy built on our Intel 3 process node.

Intel Xeon 6 proces­sors with P‑Cores for SAP work­loads will sup­port the mem­o­ry foot­print of 4TB per sock­et, the largest we’ve ever had. Cus­tomers can bring up to an 8TB SAP HANA sys­tem onto a 2‑socket Xeon 6, where­as our pre­vi­ous gen­er­a­tion required a 4‑socket sys­tem for the same capac­i­ty. This pro­vides enor­mous con­sol­i­da­tion oppor­tu­ni­ties with up to 26:1 ratio, mean­ing 26 servers from the past can be replaced with one Xeon 6‑based serv­er, con­sid­er­ing the per­for­mance gains only. Prac­ti­cal­ly speak­ing, such high con­sol­i­da­tion is not always pos­si­ble, but it shows the huge improve­ments of Intel Xeon 6 over its predecessors. 

Cus­tomers can deploy onto the Intel Xeon 6 with E‑Core as well, since it offers SAP sup­port for 2TB per sock­et, allow­ing 4TB HANA Deploy­ments on 2‑socket sys­tems. The advan­tage of Intel Xeon 6 with E‑Cores is up-to-30%-lower pow­er con­sump­tion / sock­et with top per­for­mance for SAP HANA.* This rep­re­sents sig­nif­i­cant sav­ings for orga­ni­za­tions with large SAP land­scapes over a usu­al life­time of five years. 

Intel Xeon 6 with E‑Cores and Xeon 6 with P‑Cores help to con­sol­i­date sys­tems and reduce pow­er con­sump­tion to ulti­mate­ly improve cost per­for­mance and over­all TCO. 

All of this is SAP-cer­ti­fied: ful­ly test­ed, val­i­dat­ed, and ready to be deployed though the SAP-cer­ti­fied part­ner ecosystem. 

Q: Look­ing at both tech­ni­cal capa­bil­i­ties and mar­ket poten­tial, what excites you most about the new Xeon 6 plat­form? And what does this gen­er­a­tion of tech­nol­o­gy sug­gest about the future direc­tion of enter­prise com­put­ing infra­struc­ture for SAP envi­ron­ments? 

I’m very excit­ed about Intel Xeon 6 proces­sors, because they rep­re­sent a break­through for Intel in recent years. Hav­ing a prod­uct that scales hor­i­zon­tal­ly across all seg­ments is a huge advantage. 

For SAP cus­tomers and for SAP itself, the key ben­e­fit is flex­i­bil­i­ty. Cus­tomers seek­ing TCO-opti­mized, ener­gy-opti­mized SAP land­scapes now have the option of using Intel Xeon 6 with E‑cores. Those requir­ing high-per­for­mance work­horse sys­tems that scale up to 32 ter­abytes and beyond are well-suit­ed by Intel Xeon 6 with P‑Cores. Espe­cial­ly in mul­ti­fac­eted com­pute envi­ron­ments, a mix­ture of Intel Xeon 6 with E‑Cores and P‑Cores will pro­vide the most benefits. 

This flex­i­bil­i­ty is unique in the mar­ket. No oth­er ven­dor in the SAP land­scape has this breadth of port­fo­lio, hor­i­zon­tal­ly and ver­ti­cal­ly. No one else has this focus on pro­vid­ing com­put­ing prod­ucts specif­i­cal­ly aimed at sustainability.

Intel Xeon 6 specif­i­cal­ly tar­gets sus­tain­abil­i­ty goals with­out sac­ri­fic­ing per­for­mance and SAP’s cer­ti­fi­ca­tion shows that we deliv­ered by design­ing CPUs with top-notch per­for­mance and ener­gy savings. 

This strat­e­gy will con­tin­ue with our next-gen­er­a­tion Intel Xeon prod­ucts arriv­ing in phas­es through the com­ing years. We’ll deliv­er dif­fer­ent types of prod­ucts through the same prod­uct stack, ensur­ing inter­op­er­abil­i­ty. Whether you’re com­ing from per­for­mance cores, effi­cien­cy cores, or nei­ther, all your soft­ware can run on these platforms. 

This enables end cus­tomers and SAP to con­sume these val­ues with­in their offer­ings. That’s the true pow­er of Intel Inside, espe­cial­ly now with Intel Xeon 6.

To learn more, vis­it the SAP com­mu­ni­ty blog writ­ten by Ste­fan Baeuerle.

*Com­pared to 4^th Gen Intel Xeon Scal­able Proces­sors. Based on archi­tec­tur­al pro­jec­tions as of August 21, 2023 rel­a­tive to pri­or gen­er­a­tion. Your results may vary.

About Intel

Intel (Nas­daq: INTC) is an indus­try leader, cre­at­ing world-chang­ing tech­nol­o­gy that enables glob­al progress and enrich­es lives. Inspired by Moore’s Law, we con­tin­u­ous­ly work to advance the design and man­u­fac­tur­ing of semi­con­duc­tors to help address our cus­tomers’ great­est chal­lenges. By embed­ding intel­li­gence in the cloud, net­work, edge and every kind of com­put­ing device, we unleash the poten­tial of data to trans­form busi­ness and soci­ety for the bet­ter. To learn more about Intel’s inno­va­tions, go to news​room​.intel​.com and intel​.com.

About ASUG

ASUG is the world’s largest SAP user group. Orig­i­nal­ly found­ed by a group of vision­ary SAP cus­tomers in 1991, its mis­sion is to help peo­ple and orga­ni­za­tions get the most val­ue from their invest­ment in SAP tech­nol­o­gy. ASUG cur­rent­ly serves thou­sands of busi­ness­es via com­pa­ny­wide mem­ber­ships, con­nect­ing more than 130,000 pro­fes­sion­als with net­work­ing and edu­ca­tion­al resources to help them mas­ter new chal­lenges. Through in-per­son and vir­tu­al events, on-demand dig­i­tal resources, and ongo­ing advo­ca­cy for its mem­ber­ship, ASUG helps SAP cus­tomers make more possible.