Introduction Dear readers, I am a software developer, and this is my very first blog post. Generally, when we talk about a mobile app, a native android or ios app comes into our mind which requires learning separate set of languages to develop androi...
Optimizing model architecture for using DP-SGD decreases disparities across groups in collaboration with : Anderson Santana De Oliveira, Caelin Kaplan, Khawla Mallat, Volkmar Lotz, and Tanmay Chakraborty The responsible design and use of AI technolo...
Are you exploring whether you should use machine learning to solve your own business’ problem? Are you wondering whether automation is a machine learning problem? Looking for where to get started to leverage SAP’s Artificial Intelligence products? ...
Australian Open 2022 Tennis Men's single final that happened on 30-Jan-2022 between Rafael Nadal and Daniil Medvedev was a testament of endurance, skill, sportsmanship and above all a supreme battle of Tennis. While rest of the world was enjoying the...
Introduction:In this blog post, I will highlight the role of Machine learning in the current competitive environment and how ML is helping enterprises to respond to customers, competitors, regulators, and partners faster than their peers in transform...
The concept of digital watermarking has been known for 30 years, mainly for image and audio contents. The goal is to insert a unique, hidden and non-removable signal in the original content, to be used as an identifier. If a thief steals a content, t...
We're all familiar with Recommender Engines, whether on YouTube, Twitter, or in news articles. Once a novelty, they are now a dear companion through our daily lives. In this post, we won't go into the essence of Recommender Engines, but will explain ...
Many voices argue that Artificial Intelligence destroys businesses and kills jobs, but I tend to disagree with the notion because it is not something that just came out of nowhere. As a participant-observer of the ‘workplace’ dynamic, I crisscro...
Künstliche Intelligenz bietet Unternehmen die Chance viele Prozesse zu automatisieren und somit Kosten zu sparen und die Effizienz zu steigern. In diesem Blogbeitrag möchte ich auf das Thema eingehen, wie Sie ***removed by moderator*** Wir freuen uns...
Do you want to develop an ML app with the ability to continuously improve your model using retraining (i.e., re-running the training process on new set of data.)? This blog post will help you understand the steps required to set up the entire retrai...
Predicting the future gives businesses a competitive advantage. Artificial Intelligence brings in predictive analytics – which takes predictions one step further. Predictive analytics, often known as advanced analytics, uses Machine Learning and busi...
The world economic forum calls artificial intelligence the next big thing of the 21st century that will drive the engine of change in this technological era. In his book titled The fourth industrial revolution, Klaus Schwab mentions that the adoption...
If you had access to a SAP Data Intelligence system, you would of course Build a SAP Data Intelligence ML Scenario with TensorFlow. In case you had not, leverage a Raspberry Pi instead: To prepare, I install Jupyter Lab on Raspberry PI: I also nee...
“This initiative is driven by the strong belief that companies, even when working in different industries, can benefit from learning and sharing experiences.” He is an engineer from Polytech'Nice-Sophia. She graduated in Applied Mathematics and ...
This article includes contributions from my colleagues shalvi, margarida.costa and janick.frasch (Intelligent Processes, SAP S/4HANA Product Management) It is widely known that machine learning methods require large amounts of training data. More of...
A complex time series in real life usually has many change points inside it. When dealing with such data, simply applying traditional seasonality test to it may not render a convincing decomposition result. In this blog post, we will show how to use ...
3 years ago, when Machine Learning became more widely used in the industry, we realised that there were very few tools that could help to experiment and prototype ML models quickly. Not only that, but in the industry, ML was facing issues that didn’t...
Answer Set Programming (ASP) is a software paradigm that can be used to represent knowledge and to solve combinatorial and information-intensive problems. Combinatorial search problems are those believed to not have an efficient way to reduce the spa...
On the weekend the article Connector for SAP Leonardo Machine Learning Foundation appeared in my Google News feed on my phone. I think it provides a nice overview of existing scenarios for SAP Leonardo Machine Learning Foundation. I did not find such...
Logic Programming (LP) is a programming strategy for generating useful information by applying rules of transformations over data, with respect to a logic framework. In deductive logic – which is the main topic of this article – rules consist of ve...
Zefiro - Guided Selling Agent Guided Selling is the answer to the following paradigm: “I want, as a customer, to go in that store because the salesperson understands exactly what I need, and I’ll get the best directions for my purchase”. It addresse...
What makes a pair of fashionable shoes and a swimsuit unmissable in the suitcase prepared for a weekend to the beach? And why not within the just-bought hiking boots a one-click booking into a camping in the Dolomites, because you love adventures? T...
In 2001 the father of W3C consortium, Tim Berners-Lee, stated: “The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation”. Since the publicatio...
Ever looked for matches that were less than 100% perfect? Key-based matches not working for you? Until a few years ago, fuzzy matching was the only answer we had. Today, data science algorithms are breaching the boundaries of the “possible”. Find out...
The Skies the Limit We are lucky in the Newtown Square office that our Business Women's Network works with the local Techgirlz chapter to give middle school girls hands on experiences for future tech roles. TechGirlz’ mission is to inspire middle ...
Machine learning is a transformative technology that continues to change the way data is processed, insights are gained, and businesses are run. However, given how relatively new this field is, data scientists and machine learning engineers often fin...
I have been working in the analytics industry for some time and keep getting a lot of questions from people I know personally as well as on professional platforms like linkedin, about how they can make a career transition into this amazing field. I h...
The Thirty-Fourth annual meeting of AAAI was held in New York. Both the conference committee and participants have demonstrated great resilience. More than a thousand of AI researchers from academia and industry participated. And the conference com...
From deep learning algorithms that help you save money to software that recognizes exactly what television show you should watch next based on preferences you didn’t even know you had, artificial intelligence is changing and influencing nearly every ...
Industry 4.0, or the Industrial Internet of Things (IIoT), is about industrial transformation using new digital technology that makes it possible to gather and analyze data across machines and business systems, enabling faster, more flexible, and mor...
Being an applied data scientist in SAP for more than 3 years, I think a lot about some core problems around “how to successfully ship a machine learning model in products”. Undeniable, model performance and engineering quality are fundamentals. Howev...
Do you remember the mythical scene of I Robot in which Will Smith asks an artificial intelligence (AI) about its artistic skills to ensure that he is superior? Scene from I Robot Regularly artificial intelligence grabs headlines about a new game...
How could it be if you have a system that scales your sales force, encodes the knowledge of your sales representatives, contracts deals and negotiates the best terms and conditions on your behalf, with no effort and no waste of time? Negotiation is u...
This blog will cover the following basic concepts of Logistic Regression Binary and Multi-class classification, Sigmoid function Likelihood function Let’s start with a question. Is Logistic Regression a regression or a classification algorit...
SAP Functional Expert or Solution architect with expertise on primarily Core SAP Modules like MM. SD, PP, FICO.. etc.. have a common question that.. How can I contribute in this emerging technologies such as Machine Learning, Artificial Intelligence,...
This is the third part of my series blogs about retraining your own Customisable Similarity Search in SAP Leonard Machine Learning Foundation Part 1: An overview introduction to Customisable Similarity Search Part 2: How to retrain a Customisabl...
This is the second part of my series blogs about retraining your own Customisable Similarity Search in SAP Leonard Machine Learning Foundation Part 1: An overview introduction to Customisable Similarity Search Part 2: How to retrain a Customisab...
This is the first part of my series blogs about retraining your own Customisable Similarity Search in SAP Leonard Machine Learning Foundation Part 1: An overview introduction to Customisable Similarity Search (this blog) Part 2: How to retrain a...
An exciting opportunity to influence SAP has begun with the third cycle of the 2019 SAP Customer Engagement Initiative (CEI). The SAP Customer Engagement Initiative gives you early insights into new SAP product developments. Afterwards, product manag...
Co Authored with James Skay Now live: Machine Learning Driven Recommendations on developers.sap.com! Almost a year ago, the SAP Developer Center moved to its own domain at developers.sap.com. With that change, we’ve been pioneering changes inside...
This blog will help in applying Linear Regression using python. (It is a sequel of blog available at https://blogs.sap.com/2019/07/04/linear-regression-in-machine-learning/) A problem which is solved using Data Science and Machine Learning involve...
This blog will explain Linear Regression algorithm, a way to achieve Data modeling (fourth step in CRISP-DM model) CRISP-DM: Cross Industry Standard Process for Data Mining provides a structured approach to planning a data mining project. This model...
How did you learn your lessons at school when you were young? How confident were you about your success? Most importantly, how high were you evaluated by your teachers? There is a high probability that you were evaluated on a grade scale. Either a l...
Humans are good at conversations. We understand what someone means when they say something and can understand when a word like “bank” is used in the context of a financial institute or a riverbank. We use the power of logical, linguistic, emotional r...
Miklov et al. introduced the world to the power of word vectors by showing two main methods: Skip–Gram and Continuous Bag of Words (CBOW). Soon after, two more popular word embedding methods built on these methods were discovered. In this post, we...
In this blog, I will continue from part 1 and show how to build machine learning models in Rstudio and execute directly in SAP HANA without moving data out of HANA. Also in this part, I will give examples on how to bring Machine Learning Models into ...
Ladies and gentlemen, behold: A number eight! Generated by a computer! Are you impressed? I guess not. And that’s ok. As you may know, I’m super enthusiastic about Generative Adversarial Networks or GANs. This is the third and final post in a seri...
In my previous blog post we looked at deepfakes and how machine learning can be used to forge or construct digital impressions such as images or video. Many of the examples provided there use a technique based on a paper by Ian Goodfellow et al from ...
Machine synthesized speech, images and video in high quality and high volume is upon us. Some are used for entertainment purposes, others are created to deliberately spread disinformation. A central component is a class of machine learning called gen...
An exciting opportunity to influence SAP has begun with the cycle of the 2019 SAP Customer Engagement Initiative (CEI). The SAP Customer Engagement Initiative gives you early insights into new SAP product developments. Afterwards, product managers wi...
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denismih
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Agent-to-Agent Protocol (A2A): From First Principl...
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August Developer Challenge Week 1 – Joule
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