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3 Agile Software Development Practices to Create AI Applications

Smart Data Collective

Companies in every industry from finance to manufacturing to hospitality are investing in AI to improve their business models. 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.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

Rick is a well experienced CTO who can offer cloud computing strategies and services to reduce IT operational costs and thus improve the efficiency. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech. Gordon Davey – Cloud Services Global Business Owner at SoftwareONE.

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Legacy System: Definition, Challenges, Types & Modernization

Astera

Example: IBM zSeries mainframes are often found in financial institutions and large enterprises. Proprietary Software Description: Software applications or platforms developed by a particular vendor may have become obsolete or unsupported over time. Example: An older version of Microsoft Dynamics CRM that Microsoft no longer supports.

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What Is Embedded Analytics?

Insight Software

Introduction Why should I read the definitive guide to embedded analytics? The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It supports a decision or action in the context in which that decision or action takes place. Financial Services represent 13.0

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20 Best Logistics KPIs and Metric Examples for 2022 Reporting

Insight Software

Include the answers to these questions in the definition of all your KPIs. Healthy finances are the backbone of every successful operation. It means that a large portion of assets are financed by debt, which implies a higher rate of return for the owners but creates uncertainty around returns to shareholders.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

But we’re also seeing its use expand in other industries, like Financial Services applications for credit risk assessment or Human Resources applications to identify employee trends. The Definitive Guide to Predictive Analytics Download Now What are the Risks for Application Teams?

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What is Data Mapping?

Insight Software

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Third, it supports data-driven decision making by providing a holistic view and context for data analysis. new customers, returning customers), supporting targeted reporting on customer behavior.