Robotic Process Automation (RPA) is kind of a confusing term. It's not about physical robots--instead, it refers to software bots that streamline repetitive and tedious processes in the workplace. Something else to note: RPA is the fastest growing segment in enterprise software, according to Gartner. As a result, the mega tech operators are looking at the market. SAP, for example, has acquired Contextor to bolster its efforts.
Tray.io, whose General Automation Platform enables citizen automators in any business role to build enterprise-class integrations and automation themselves in a low-code environment, announced significant connectivity advancements of the Tray Platform, including new and improved connectors for dozens of leading enterprise services such as NetSuite, Snowflake, and Twilio. The company also announced the beta launch of its Connector SDK and new on-premise connectivity options, delivering true universal connectivity for the enterprise. With its latest enhancements, the Tray Platform empowers both technical and non-technical users with the flexibility to integrate any application and automate mission-critical businesses processes at scale. Enterprise workflow automations present inherent challenges due to the breadth of applications used across both technical and line-of-business teams. Effectively building a diverse set of automations across the enterprise requires connectivity with all systems, particularly to enable business users to manage and maintain these workflows themselves.
On this training you will learn the basic concepts for Microsoft and Azure Cloud to understand the concepts and features to design and plan your Power Automate Implementation for your Business. Microsoft Power Platform is a line of business intelligence, app development, and app connectivity software applications. Microsoft developed the Power Fx low-code programming language for expressing logic across the Power Platform. It also provides integrations with GitHub and Teams. Power Automate is a versatile automation platform that integrates seamlessly with hundreds of apps and services. Power Automate can be used to get notifications, synchronize files, approve requests, collect data, and much more.
This is the third installment in a four-part review of 2016 in machine learning and deep learning. In Part One, I covered Top Trends in the field, including concerns about bias, interpretability, deep learning's explosive growth, the democratization of supercomputing, and the emergence of cloud machine learning platforms. In Part Two, I surveyed significant developments in Open Source machine learning projects, such as R, Python, Spark, Flink, H2O, TensorFlow, and others. In this installment, we will review the machine learning and deep learning initiatives of Big Tech Brands -- industry leaders with big budgets for software development and marketing. It has a unique business model and falls into its own category. These companies have the financial strength to develop, market and cross-sell machine learning software to their existing customer base, and can impact the market if they choose to do so. I covered Google and Amazon Web Services in Part One.