Xoxoday announced the availability of Compass in the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure. Xoxoday customers can now take advantage of the productive and trusted Azure cloud platform, with streamlined deployment and management. Xoxoday Compass is an incentive and commission management platform for businesses to drive more revenue and transform commissions, their largest sales expense, into a business growth driver. Xoxoday Compass helps Sales and Revenue Operations teams design, plan, automate, and streamline complex incentive and commission structures. With game-like elements, rewards, communication, and analytics capabilities, sales leaders can effectively engage and motivate their revenue-driving teams.

Data Science Dojo has launched Jupyter Hub for Deep Learning using Python offering to the Azure Marketplace with pre-installed Deep Learning libraries and pre-cloned GitHub repositories of famous Deep Learning books and collections which enables the learner to run the example codes provided. Deep Learning is a type of Machine Learning and Artificial Intelligence. Deep Learning is a modern variation in Machine Learning that teaches computers to do what comes naturally to humans. Python, a high-level programming language that was created in 1991 and has seen a rise in popularity, is compatible with deep learning, which has contributed to its development. While several languages, including C, Java, and LISP, can be used with deep learning, Python continues to be the preferred option for millions of developers worldwide.

AI that analyzes data to help you make decisions is set to be an increasingly big part of business tools, and the systems that do that are getting smarter with a new approach to decision optimization that Microsoft is starting to make available. Machine learning is great at extracting patterns out of large amounts of data but not necessarily good at understanding those patterns, especially in terms of what causes them. A machine learning system might learn that people buy more ice cream in hot weather, but without a common sense understanding of the world, it's just as likely to suggest that if you want the weather to get warmer then you should buy more ice cream. Understanding why things happen helps humans make better decisions, like a doctor picking the best treatment or a business team looking at the results of AB testing to decide which price and packaging will sell more products. There are machine learning systems that deal with causality, but so far this has mostly been restricted to research that focuses on small-scale problems rather than practical, real-world systems because it's been hard to do. Deep learning, which is widely used for machine learning, needs a lot of training data, but humans can gather information and draw conclusions much more efficiently by asking questions, like a doctor asking about your symptoms, a teacher giving students a quiz, a financial advisor understanding whether a low risk or high risk investment is best for you, or a salesperson getting you to talk about what you need from a new car.

KMS Lighthouse, a global leader in knowledge management, announced the availability of KMS Lighthouse as a transactable SaaS offering in the Azure Marketplace, an online store providing applications, and services built on Azure. With the advanced knowledge and AI features of Lighthouse, companies can ensure content is readily consumable for employees and customers alike and accessible from any device. KMS Lighthouse empowers enterprises with accurate and consistent knowledge delivering operational efficiencies enabling organizations to reducing on boarding by 50%, reduce error rate and shorten time to knowledge by 25%. The company focuses on the development of enterprise solutions leveraging AI and machine learning capabilities to provide the right answers at the right time. Users simply ask a question in natural language and receive an instant answer.

Dataiku announced that it is now available through the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure. This availability opens the door for Azure customers to take advantage of Dataiku's easy-to-use visual interface to build data pipelines, prepare data, and build and deploy machine learning models on their cloud. Azure customers can now purchase Dataiku – a leader in AI and support for elastic cloud computing – using their Azure cloud budget and relationship, removing the barrier of new contracts or legal hassles when starting their journey to enterprise AI at scale. "AI and cloud really go together," said Florian Douetteau, CEO of Dataiku. "With Dataiku in the Azure Marketplace, we think more organizations will be able to leverage the power of AI on the cloud to make smarter, faster decisions, deliver better customer experiences, and automate key business processes."

Sycomp introduces the first IBM Spectrum Scale solution on Azure. As of October 23, Sycomp Storage Fueled by IBM Spectrum Scale, a new cloud storage solution, is now available to the general public on the Microsoft Azure Marketplace. Sycomp Storage Fueled by IBM Spectrum Scale enables organizations to utilize different storage tiers, whether they incorporate the on-prem IBM Spectrum Scale with Azure or deploy a cloud-only solution. What usually would take days, Sycomp offers a new way for organizations to use Azure as a burst platform within a few minutes to a few hours for modern workloads such as High-Performance Computing (HPC), Artificial Intelligence, and Machine Learning (AI/ML). "Sycomp Storage Fueled by IBM Spectrum Scale is now globally available on the Azure Marketplace. Our fantastic HPC, AI/ML, and Storage team has delivered another solution for our clients that provides a cost-effective, automated deployment, and storage tiering platform for their challenging workloads," says Allen Shahdadi, VP of Global Sales, Sycomp.

Edward Scott is the founder and CEO of ElectrifAi, a company that leverages Artificial Intelligence and Machine Learning via their suite of products to drive profit improvement, increased performance, and risk reduction. As part of this discussion, we shared how their partnership with Microsoft, their use of Azure, and the Azure Marketplace have empowered them to scale and grow their business. Facebook: AvrohomGottheil Twitter: @avrohomg Instagram: @avrohomg INTERVIEW HIGHLIGHTS: [00:48] Artificial Intelligence is very prevalent nowadays, especially in HealthCare, and providers are converting their data to digital format to leverage the benefits of the latest innovations in technology. What are the challenges health care providers face when trying to go digital? Ed: You can access our solution set via one of the following links: electrifai.imageai

This blog post is co-authored by Emmanuel Bertrand, Senior Program Manager, Azure IoT. We recently announced Azure Cognitive Services in containers for Computer Vision, Face, Text Analytics, and Language Understanding. You can read more about Azure Cognitive Services containers in this blog, "Brining AI to the edge." Today, we are happy to announce the support for running Azure Cognitive Services containers for Text Analytics and Language Understanding containers on edge devices with Azure IoT Edge. This means that all your workloads can be run locally where your data is being generated while keeping the simplicity of the cloud to manage them remotely, securely and at scale.

For those who already have a basic understanding of machine learning, you should start with the advance machine learning videos. These videos will introduce you to various machine learning libraries, modeling techniques and other advanced concepts of machine learning. It covers theoretical & practical concepts on supervised, unsupervised and deep learning algorithms. It will introduce you to sentimental analysis, recommendation system, predicting stock prices, create neural network using python & tensorflow and introduction to genetic algorithms.