Remove Artificial Inteligence Remove Big Data Remove Business Analytics Remove IoT
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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

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PaaS, IaaS, and SaaS: Making the Right Choice for Your Oracle Cloud Migration

Datavail

The term XaaS (“anything as a service”) is shorthand for the proliferation of cloud services in recent years—everything from databases and artificial intelligence to unified communications and disaster recovery is now available from your choice of cloud provider.

Cloud 97
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How Cool Is That!

Hu's Place - HitachiVantara

CRN, Computer Reseller News, a leading trade magazine, has named Hitachi Vantara as one of the 30 Coolest Business Analytics Vendors. CRN recognizes that Hitachi Vantara is able to provide, “ cloud, Internet of Things, big data, and business analytics products under one roof.”

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

Common cloud functionalities offered by AWS that can help businesses scale and grow include: Networking and content delivery Analytics Migration Database storage Compute power Developer tools Security, identity and compliance Artificial intelligence Customer engagement Internet of Things Desktop and app streaming.

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Predictive Analytics with Power BI: A Guide for CEOs for Encouraging Business Success

Sunflower Lab

Use Cases of Power BI Predictive Analytics in Different Industries Use Case: Predictive Maintenance in Healthcare Business Scenario: A hospital aims to reduce equipment downtime and maintenance costs by implementing predictive maintenance.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Today, consumers’ preferences are changing momentarily and often chaotically.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly Media - Ideas

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.