This article is a comprehensive overview of InterSystems IRIS platform capabilities relative to universal support of AI/ML mechanism deployment, of AI/ML solution assembly (integration) and of AI/ML solution training (testing) based on intense data flows. We will turn to market research, to practical examples of AI/ML solutions and to the conceptual aspects of what we refer to in this article as real-time AI/ML platform. "… The parallel growth trends for streaming data pipelines and container-based infrastructure combine Streaming enables extraction of useful information from data more quickly than traditional batch processes. It also enables timely integration of advanced analytics, such as recommendations based on artificial intelligence and machine learning (AI/ML) models, all to achieve competitive differentiation through higher customer satisfaction. Time pressure also affects the DevOps teams building and deploying applications.

In this regular column, we'll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we're in close touch with vendors from this vast ecosystem, so we're in a unique position to inform you about all that's new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive. Algorithmia, a leader in ML operations and management software, announced Insights, a new solution for ML model performance monitoring that provides reliable access to algorithm inference and operations metrics. Many organizations today don't have the ability to monitor the performance of ML models working their way into production applications, and organizations that do, use a patchwork of disparate tools and manual processes, often without critical data required to satisfy stakeholder requirements. Without comprehensive monitoring and centralized data collection, organizations struggle with model drift, risk of failure, and the inability to meet performance targets in response to shifts in environment and customer behavior.

This video introduces the basic concepts of machine learning and some of its potential uses and benefits. You will also find a brief overview of IntegratedML in InterSystems IRIS Data Platform and see how you can implement machine learning in your applications directly from the SQL environment of InterSystems IRIS. If you would like to explore a wider range of topics related to this video, please check out the IntegratedML Resource Guide: https://learning.intersystems.com/cou... More about Machine Learning on InterSystems Developers: https://community.intersystems.com/ta... Ready to try InterSystems IRIS?

Productive use of machine learning and artificial intelligence technologies is impossible without a platform that allows autonomous functioning of AI/ML mechanisms. In-platform AI/ML has a number of advantages that can be obtained via best practices by InterSystems.

Python and R are the de facto standard languages for data science, due to their ease of use and huge array of third party libraries for machine learning and analytics. This video provides an introduction to the ML Toolkit and demonstrates using InterSystems IRIS as both a standalone development platform and an orchestration tool for predictive modeling. Takeaway: The ML Toolkit enables machine learning and other complex application development in the R and Python languages.

Python and R are the de facto standard languages for data science, due to their ease of use and huge array of third party libraries for machine learning and analytics. This video provides an introduction to the ML Toolkit and demonstrates using InterSystems IRIS as both a standalone development platform and an orchestration tool for predictive modeling. Takeaway: The ML Toolkit enables machine learning and other complex application development in the R and Python languages.

WIRE)–InterSystems, a global leader in information technology platforms for health, business, and government applications, today launched QuickML, available to users of the InterSystems IRIS Data Platform and the InterSystems IRIS for Health Data Platform. The announcement was made at InterSystems Global Summit 2019, the company's annual conference, which is currently being held in Boston. By putting best-of-breed machine learning (ML) within the hands of SQL-oriented developers, QuickML enables organizations to put predictions within their existing applications without needing extremely-scarce ML expert engineers. "QuickML allows all developers using InterSystems IRIS to embed machine learning capabilities in their applications in a simple and scalable format. In this way, we see QuickML enabling all of our application partners to deliver accurate predictions as part of their tool set" Data is at the core of most business processes, and ML offers amazing power for digital transformation -- but the economics of extracting value from this resource are challenging.

Do you want to reap the benefits of the advances in the fields of artificial intelligence and machine learning? Join InterSystems Sales Engineers, Sergey Lukyanchikov and Eduard Lebedyuk, for the Machine Learning Toolkit for InterSystems IRIS webinar to find out how InterSystems IRIS can be used as both a standalone development platform and an orchestration tool for predictive modelling that helps stitch together Python and other external tools. See additional resources: 1. Discuss the webinar on Developer Community – Python Gateway Part I: Introduction: http://bit.ly/2WEknF7

Sessions are subject to change. Day & Time: Wednesday, 11:00 AM – 11:45 AM, Grand Oaks A&B Presenter: Jim Breen, Doug Foster Need to get your team trained on InterSystems products quickly? Attend this session to learn how you can get your employees up to speed and add value to your company – fast! Hear how other InterSystems' clients have created successful teams using Learning Services content as one piece of the puzzle, and how you can too! Takeaway: InterSystems Learning Services can help me quickly onboard new employees and grow the skill sets of existing employees. Day & Time: Monday, 2:00 PM – 2:45 PM, Grand Oaks E&F Tuesday, 2:00 PM – 2:45 PM, Grand Oaks C&D Presenter: Andreas Dieckow This session provides an overview of what it takes to move an existing Caché or Ensemble application to InterSystems IRIS Data Platform. You will learn that migration is not urgent (unless you want to take advantage of new features in InterSystems IRIS) but that it is often less complex than you might expect.

Today we are going to upload a ML model into IRIS Manager and test it. Note: I have done the following on Ubuntu 18.04, Apache Zeppelin 0.8.0, These days many available different tools for Data Mining enable you to develop predictive models and analyze the data you have with unprecedented ease. InterSystems IRIS Data Platform provide a stable foundation for your big data and fast data applications, providing interoperability with modern DataMining tools. In this series of articles we explore Data mining capabilities available with InterSystems IRIS.