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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). For simplicity, let’s call them XaaS (X-as-a-Service). We focus on one thesis: Cloud infrastructure works better with services built around Microservice Architecture (MSA).

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Moving to the cloud? Choose cloud service providers wisely

Analysts Corner

Is it because of cost-saving and pursuit of flexibility? The state of the cloud services market The truth is businesses have started treating the cloud as a strategic tool capable of driving their competitive edge. It forecasts that more than 50% of enterprise IT spending will shift to cloud services by 2025. When to use?

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TIBCO JasperSoft for BI and Reporting

BizAcuity

Boris Evelson, principal analyst at Forrester Research pointed out that while Jaspersoft may not match the likes of Oracle, Microsoft, or IBM, feature for feature. JasperSoft is available at a fraction of the cost compared to its commercial counterparts who dominate the market. Ad Hoc Reporting. Automatic Scheduled Reporting.

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How To Improve Incident Response Time for Data Breaches

Smart Data Collective

IBM reports that the average data breach cost over $4.2 For organizations who need expert advice in this area, there are automated software solutions from specialized third-party vendors that offer this kind of quantification. It is no secret that cyberattacks are escalating in frequency and severity each year.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

Quick recap from the previous blog- The cloud is better than on-premises solutions for the following reasons: Cost cutting: Renting and sharing resources instead of building on your own. Infrastructure as a Service (IaaS). IaaS is delivered by all the major players including AWS, Azure, Cisco, IBM, Oracle and Google.

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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

Among other benefits, this helps make sure global computing resources are used as efficiently as possible and allows data science companies to take advantage of these resources at a reduced cost. IBM Watson Studio. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks. Neptune.ai.

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Machine Learning Helps Improve Tronc Management Considerably

Smart Data Collective

One of the ways companies like IBM are using machine learning in employee compensation models is by using ongoing feedback rather than making pay decisions based on periodic reviews. A tronc benefit is a unique, well-organized remuneration structure for employees that distributes tips, gratuities, and service fees.

IBM cost 300