Schedule Message Polling From WebSphere MQ in MuleSoft

As a MuleSoft Certified Architect, Designer and Developer, I recently worked on API implementations for one of our clients using MuleSoft’s CloudHub. One common feature that we use across APIs implementations is to poll message from IBM WebSphere MQs.

In this article, we will demonstrate MQ message polling scenarios (Normal Message Polling, Schedule Message Polling, Message Polling with Delayed Processing and MQ Message Delay) using MuleSoft. https://goo.gl/wHVixT #DataIntegration #ML

Healthcare Organizations Expect Significant Impact from Digital Transformation in Next Two Years

BERLIN — SAP SE (NYSE: SAP) today announced that nearly 70 percent of healthcare companies who transition to the digital economy expect to see significant growth over two years, as they gain a competitive advantage and are able to provide the best care for their patients, according to a study by SAP Center for Business Insight, conducted in collaboration with Oxford Economics.

The findings reflect a study of almost 400 global C-level healthcare executives who participated in the SAP Digital Transformation Executive Study: “4 Ways Leaders Set Themselves Apart.” The study was designed to track the value of key technologies driving digital transformations of healthcare companies.

While lacking substantial impact from digitalization efforts so far, respondents expect significant impact over the next two years in the areas of customer satisfaction (61 percent) and innovation (59 percent), according to study results. The finding supports the fact that healthcare organizations are planning to invest most heavily in Big Data and analytics (76 percent) and cloud technologies (65 percent) in the next two years.

“Digital innovation will fuel the next wave of breakthroughs in healthcare and accelerate the broader shift toward data-driven care for health organizations,” SAP Health Global President Thomas Laur said. “Unlocking actionable data insights in real time is critical for the future success for value-based care.”

While healthcare organizations see the value of digitalization, just 2 percent have completed digital transformations across their enterprises, while 54 percent of the organizations are testing or piloting digital transformation programs.

Forward-thinking organizations are applying SAP Health platform technology to connect data across their enterprises and across outside practices to deliver near real-time data and analytics for improved patient outcomes.

* “The shift to pay-for-performance programs and quality measures has necessitated a strong digital transformation strategy, which reinforces our focus of providing the best possible care for patients,” said Dr. Philip Styne, Florida Hospital Chief Medical Information Officer. “The Florida Hospital Innovation Lab (FHIL) and Florida Hospital medical staff have partnered with SAP Health to create an application that facilitates collaboration among quality administrators, clinicians and patients.”
* “Our CancerLinQ platform has leveraged SAP Health expertise and the in-memory computing capabilities of the SAP HANA platform to derive near-real-time data and analytics for critical decisions,” said Kevin Fitzpatrick, chief executive officer of CancerLinQ LLC, a nonprofit subsidiary of the American Society of Clinical Oncology (ASCO). “Having the right platform and rules around data sharing and coming together to share best practices and drive improvements are the hallmarks of true digital transformation.”

This announcement was made during the World Health Summit, being held in Berlin, October 15–17, 2017.

To learn more about SAP Digital Transformation Executive Study: “4 Ways Leaders Set Themselves Apart,” visit sap.com/execstudy.

For more information, visit the SAP News Center. Follow SAP on Twitter at @sapnews.

Media Contact:
Andrea Kaufmann, +1 (610) 299-7245, andrea.kaufmann@sap.com, ET

Any statements contained in this document that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995. Words such as “anticipate,” “believe,” “estimate,” “expect,” “forecast,” “intend,” “may,” “plan,” “project,” “predict,” “should” and “will” and similar expressions as they relate to SAP are intended to identify such forward-looking statements. SAP undertakes no obligation to publicly update or revise any forward-looking statements. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. The factors that could affect SAP’s future financial results are discussed more fully in SAP’s filings with the U.S. Securities and Exchange Commission (“SEC”), including SAP’s most recent Annual Report on Form 20-F filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates.
© 2017 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see http://www.sap.com/corporate-en/legal/copyright/index.epx#trademark for additional trademark information and notices. http://bit.ly/2zsjhnt #SAP #SAPCloud #AI

#ASUG Webcast recap: A practitioner’s view of machine learning

Source: SAP

This was an ASUG BITI webcast given by SAP

Figure 2: Source: SAP
Recommend modeling iwth PAL – algorithms are implemented in server, where data resides, see much better performance

Figure 3: Source: SAP

PAL is for data scientists

Credit card data, which customer is credit worthy (classification)

Predicting house prices based on characteristics such as # of rooms, using regression

Cluster similar customers to do targeted marketing campaigns

Time dependent models, sequential pattern modeling to issue coupons

Figure 4: Source: SAP
Color coding indicates investments

Figure 5: Source: SAP
Training the model for random forest modeling

Figure 6: Source: SAP
Model scoring PAL code with confidence level

Figure 7: Source: SAP
Other options include integration with R
Connect from R studio, connect from ODBC

Figure 8: Source: SAP

R integration looks like a stored procedure

Figure 9: Source: SAP
Build models in TensorFlow and call in HANA – like a stored procedure

On the HANA side, you have the Application Function Library

With SPS02 – create the EML/AFL – interfaces between HANA and TensorFlow server

On the right side, build and train TensorFlow and upload to TensorFlow server, and then consume from HANA side

Connect through a Google Remote Function call

TensorFlow Serving Server can run in same box in HANA in development; should be separate in production

Scope is for scoring

Figure 10: Source: SAP

Train the model in TensorFlow

Figure 11: Source: SAP
Step 1 create remote source, host and port of TensorFlow server

Next map the model to the remote source; insert test model

Next – any config changes get applied immediately

Then check all connections are working before start using in the application

Figure 12: Source: SAP

Generate the EML in HANA and then call procedure using the input and output table

Figure 13: Source: SAP

Machine learning in HANA end to end; depends on type of use case

Machine learning is not just developing models, but how do these models get optimized and in a scalable real-time way

Figure 14: Source: SAP
Customer churn prediction with PAL to build a model

You can grow decision trees, output is the class

In PAL, you have fine grained control

Figure 15: Source: SAP

First step is to train the model, populate the parameter table

Figure 16: Source: SAP

Create table to store model

Capture variable importance with a table

Store the out of bag erorr

Store confusion matrix of the model

Figure 17: Source: SAP
Train the model, call the function

Decision trees are stored in PMML format

Out of bag error, the variable importance

Confusion Matrix is also output

Only 3 out of 14 cases did the model predict inaccurately

Figure 18: Source: SAP

Now built the model, want to predict the churn, and will customer to be retained

Create the parameter table
Create the results table for the results of scoring

Prediction and confidence

Used PAL to train the model and then use it to predict scenarios

Figure 19: Source: SAP

Could also build using Web IDE

Figure 20: Source: SAP

Push execution close to data

Figure 21: Source: SAP

Think of performance in terms of batch and real-time

SP02 enhancements

Real time prediction with SPS01

Figure 22: Source: SAP

Decisions need to happen in real time

Figure 23: Source: SAP

The model can remain in memory

Figure 24: Source: SAP

Partitioning – score in parallel

Ability to do large batch style processing in parallel

Figure 25: Source: SAP

Streaming analytics engine to take input from a variety of sources

Figure 26: Source: SAP

Train data as they arrive
Predict in real time

Figure 27: Source: SAP
A summary of a jam-packed webcast

Upcoming ASUG webcasts:

Oct 19 An exciting new future for SAP BusinessObjects Web Intelligence

Oct 26 Overall SAP Analytics strategy and direction 

Oct 31 What’s new in SAP BI Mobile and Roadmap

Nov 7 Cross-Solution Analytics with SAP Analytics Cloud

Nov 9 What’s New in SAP Lumira 2.0

Nov 20 What’s new in Analysis Office 2.6?

Nov 28 – Introduction to SAP Data Hub 

Nov 30 Refresh Expert Streams on Predictive Factory

Dec 5 – Update on Conversion Tools for SAP BW/4HANA

Dec 12 Best Practices for Automated Analytic

  http://bit.ly/2ztzqJf #SAP #SAPCloud #AI

SAP Learning Hub News – October 2017 Update

Welcome to the October update of the SAP Learning Hub News, keeping you up do date with the latest  developments, achievements of SAP Learning Hub!

Check out the SAP Learning Hub News archive if you have missed previous updates. You can also sign up for our email newsletter here to get the news delivered directly to your inbox. Download the latest content catalogue to get a complete overview of our available courses, content and SAP Learning Rooms. We have quite a lot of content for you again this month:

SAP S/4HANA, Release 1709: Available Learning Maps

SAP announced the SAP S/4HANA, 1709 release, the latest enhancement to SAP’s next-generation ERP business suite. More than 30 respective learning maps are available on SAP Learning Hub to support learners in keeping their knowledge up-to-date of innovations shipped with this release of SAP S/4HANA. To find all learning maps on SAP Learning Hub, you can also use the following search string in the learning content catalog: EKT_S4H1709.

In addition to the learning content, a comprehensive schedule of live-expert sessions continue throughout October 2017. To complement this offering, a sandbox environment is available exclusively for subscribers to the professional edition of SAP Learning Hub, at no additional cost, until end of 2017. Systems access is limited to the first 100 registrations per week, registrations can be done here.*

To view the complete SAP enablement offering for SAP S/4HANA, please refer to the Learning Journeys. The Early Knowledge Transfer learning maps are part of the stay-current scenarios.

Please note that content with * is accessible only when logged into SAP Learning Hub.

Learning Journey for SAP Learning Hub Available

Now there is also an interactive Learning Journey guide available in SAP Learning Hub. Designed to get you up to speed with everything you need to know to get the most out of SAP Learning Hub. From explaining SAP Learning Rooms to SAP certification or the SAP Live Access portal – the introductory materials you need to gain an understanding of the platform and how to use it is now in one place.

Check out the Learning Journey: 1st steps in SAP Learning Hub*, or go to the Learning Content section in the top left dropdown menu within SAP Learning Hub to find your learning journey offerings there.

Please note that content with * is accessible only when logged into SAP Learning Hub.

SAP Learning Rooms – Live Events

SAP S/4HANA Cloud Implementation Learning Room:
In these interactive live sessions, you will explore SAP S/4HANA Cloud from the perspective of different business processes:

* SAP S/4HANA Cloud Live Session – Finance: October 16-20, 16:00 – 18:00 (CET)
* SAP S/4HANA Cloud Live Session – Manufacturing: October 16-20, 16:00 – 18:00 (CET)
* SAP S/4HANA Cloud Live Session – Sales: October 23-27, 14:00 – 16:00 (CET)

Welcome Room:

* SAP Learning Hub – Navigation Tips and Tricks:
October 24, 17:00-18:00 (CET) – Live session in the Welcome Room on SAP Learning Hub
* SAP Learning Journeys Live Session:
November 1, 15:00-15:30 (CET) – Live session on how to find Learning Journeys in SAP Learning Hub

SAP Learning Room Update

New SAP HANA 2.0 SPS01 Learning Map is now available in the SAP HANA Modeling Learning Room, designed to support the preparation for SAP-certified application associate – SAP HANA certification exam (C_HANAIMP_13).

SAP Learning Rooms Report

More than 145,000 learners have joined the community of SAP Learning Room members so far in 2017, an increase of 45% compared with the previous year.

Close the Skills Gap for Successful Digital Transformation

Enhance your digital transformation journey with a defined skill development strategy and supportive learning environments.

Check out a recent report by the European Research Center for Information Systems and SAP that introduces a maturity model for skill development and best practices for assessing your current state and defining additional activities. Gain further insights in the related blog post or watch the presentation on 2017 SAP TechEd Las Vegas to learn about the skills that has shown to be critical in digital transformation and how you can develop them.

Additional Courses Available for SAP Live Access

New courses have been added to the SAP Live Access  portfolio recently, including:

* SQL and SQL Script Basics for SAP HANA (HA150)
* SAP HANA Modeling (HA300)
* SAP Business One – Logistics (TB1000)
* SAP Business One – Implementation and Support (TB1100)
* SAP Business One – Accounting (TB1200)
* Management Accounting in SAP S/4HANA – Academy (TS4F04)
* Database Administration (DB2 LUW) (ADM535)
* Trade Management with SAP CRM (ICP610)

Access the entire catalog for SAP Live Access and check out the courses  to practice and expand your SAP skills.

Demo of SAP SuccessFactors Training Systems

Learn how to navigate within SAP Learning Hub to find SAP Live Access offerings to practice with an SAP training system. SAP Live Access provides a self-service to deploy and use SAP training landscapes and is embedded in Learning Journeys. In addition, we will make the connection to the Learning Rooms as central place to collaborate with experts and peers. Recording of this demo is available here*.

Please note that content with * is accessible only when logged into SAP Learning Hub http://bit.ly/2ztdTR0 #SAP #SAPCloud #AI