SAP Community Call SAP Mentor Webcast – Innovation Center Network & Machine Learning
This was a community call, hosted by Chris Kernaghan
Replay recording: SAP Community CallsJuly 11
Title: Innovation Center Network & Machine Learning
Abstract:
1. Intro: SAP Innovation Center Network (ICN)
2. Machine Learning (ML)
3. Q&A, discussion
Presenters:
• Christian Boos – SAP VP and Head of Business Development for Machine Learning Incubation
• Upen Barve – SAP Head of ICN Customer Office
Source: SAP
Overview of innovation center, what is the current excitement
Source: SAP
The above shows the agenda and how to co-innovate
Source: SAP
The mission is shown above
Source: SAP
Look at current trends, relevance
Invest in research – public funded, sponsoring PhD’s
Customer lead innovation with innovative customers
Have go-to market on their side
Focus areas are shown above
Source: SAP
Machine learning is a focus area
Also look at future enterprise applications
Incident management will be automized; what can’t be automized is responsibilities
Source: SAP
How move forward with digital ledger
On the right is smart cities, how cities be taken care of – traffic center – help city mayor make real time decisions
Technology has evolved, management models have not
Source: SAP
Digital banking is a customer led innovation, bring to scale
Source: SAP
HPI investment, digital assistant, virtual
Source: SAP
Collaboration model includes design thinking, proof of concept, pilot, product
Source: SAP
Multi disclipinary teams
Potsdam is innovation center HQ
Design thinking, physical flexible offices
Source: SAP
Locations of SAP Innovation Centers around the world
Source: SAP
Leadership team
Source: SAP
Machine learning; speedboat analogy
Source: SAP
Machine learning at SAPPHIRENOW
Sessions are on YouTube
Link is sap.com/ml which takes you to Intelligent Enterprise powered by Machine Learning Services
Source: SAP
Personal assistant is one way of working “smarter”
Source: SAP
Machine learning is teaching from past learnings, learning and understanding
Prerequisite is having the data
Source: SAP
Automate manual jobs, leave focus times for employees, increased satisfaction
Source: SAP
Train data, apply model to database, capture feedback from users, and retrain model
Powered by HANA Cloud platform; machine learning service on HCP
Customers, partners build their own solutions
Source: SAP
Use cases shown at SAPPHIRENOW
Priority 1 includes invoice matching and social media
Social media customer, working with C4C, taking sentiment from FB/Twitter posts, what is the sentiment from the posts and auto-classify – negative, consultive, and action recommender – dispatch messages to customer service agents
yaaS is Hybris as a service, a simple product recommender
Source: SAP
CV matching is for job recruiting, mentioned in Hasso’s keynote; machine learning screens CV’s and matches with job posting, comes gender-free, doesn’t care about age
Source: SAP
Call for customer co-innovation
Source: SAP
Co-innovation framework; no guarantee of a product
Question & Answer
Q: How can we engage the Innovation Centre to bring customers to you and perhaps see if there is a project which is off interest?
A: covered on the slides
Q:Are there cookbooks for scenarios like “Invoice Matching”?
A: will develop with co-innovation customers
Q: Is there any plan for an open.sap.com course on these topics?
A: coming
Q: How can we engage with you if we think we have interesting customer projects for Co-Innovation
A: contact the speakers of the webcast
Q: Can we get more details on Machine Learning platform
A: HCP; more information; details on YouTube – co-innovation
Q: Most of at least the co-innovation projects are customer specific and one off, how to scale this approach?
A: New ideas for potential machine learning – look at horizontal LoB agile use cases, customer engagement, and industry verticals such as banking is second wave, cross industry; readiness to executive
Q: How does The Innovation Center prioritize the projects that you want to focus on?
A: vertical, horizontal, attractiveness, readiness to execute
Q: will there be Machine Learning content at TechEd in Vegas?
A: Yes; Las Vegas, Barcelona and Bangalore
Las Vegas Machine learning sessions https://sessioncatalog.sapevents.com/go/agendabuilder.sessions/?l=131&sf=289&locale=en_US
Q: Does the new HANA capability related to GraphDatabase have an influence on some of the presented innovations?
A: not directly, closer look