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Replacing Legacy. Part 5: Cloud, SaaS Legacy, and AI

Analysts Corner

Here, we reflect on the reasoning behind the past, current, and future trends: Cloud deployments, SaaS (Software-as-a-Service), and AI (Artificial Intelligence). Part 1: Definition, Reasons, Characteristics Replacing Legacy. For simplicity, let’s call them XaaS (X-as-a-Service). The first two can’t be considered trends anymore.

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Business Process Automation Acronyms and Definitions

Argon Digital

IBM defines workflow automation as optimizing “processes by replacing manual tasks with software that executes all or part of a process” (IBM 2021).[1] Many situations lend themselves well to business process automation, including these: Customer support. Workflow Automation.

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3 Agile Software Development Practices to Create AI Applications

Smart Data Collective

Carlo Appugliese of IBM has a great guide on creating great AI projects with Agile. This article outlines three ways to effectively support an agile team. By definition, an agile software development team uses an agile development methodology to define and shape its workflows.

Agile 308
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Big Data Sets Impressive New Standards On Integrated Business Systems

Smart Data Collective

Author James Kobielus, the lead AI and data analyst for Wikibon and former IBM expert, said that there are a number of ways that integrated business systems are tapping the potential of AI and big data. Fortunately, using big data to take advantage of innovative software solutions will definitely reduce the number of errors in your business.

Big Data 173
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Half Agile Isn’t Real Transformation

Leading Agile

Multiple Expeditions may be underway at the same time, each one involving a distinct vertical slice of business operations and the IT support for those operations. The structure can be called by different names; it’s often called Service-Oriented Architecture (SOA). HP NonStop? Never heard of it.

Agile 118
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Which Machine Learning Certification is Best for You?

Whizlabs

In this topic, we are going to learn about the different certification available for Machine Learning via different cloud service providers. Machine learning as a service is a definition of various cloud platforms that cover infrastructure issues such as pre-processing, model evaluation, model training and further prediction. .

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Big Companies, Big Wins: Enterprises Out-Innovating Startups

Sisense

It used to be thought that large enterprises like IBM had a lock on technology and innovation: they had the money and the people to do whatever they wanted, build whatever was next. As an enterprise, you definitely have a cloud solution already, maybe even multiple cloud solutions, be they enterprise-wide and department-level.