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Testing New AI Applications is Crucial Before Bringing them to Market

Smart Data Collective

Modern methods of software development take a more systematic approach to testing, in accordance with the IBM Rational Unified Process (RUP). It is very important to identify errors in the early stages of development, since later the elimination of such errors can entail significant costs or even require starting from scratch.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 3

BizAcuity

Advantages: Cost-effective, Disadvantages: Number of security challenges, lack of freedom to a certain extent. IBM is one of the leaders in providing such an infrastructure. Disadvantages: High Costs. A well-calculated combination can do miracles for cost saving without compromising on data security. Edge Computing.

IBM cost 130
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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. IaaS is delivered by all the major players including AWS, Azure, Cisco, IBM, Oracle and Google. Starting with cloud adoption.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

The comprehensive system which collectively includes generating data, storing the data, aggregating and analyzing the data, the tools, platforms and other softwares involved is referred to as Big Data Ecosystem. Otherwise, it will result in poor data quality and as previously mentioned, cost over 3 trillion dollars for an entire nation.

Big Data 130
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Hidden Business Rules in Legacy Code

Leading Agile

IBM has never stopped evolving the mainframe platform and related technologies. As difficult as it already is to modernize these systems, the longer we wait the more difficult and expensive it will become. The challenge: Price – not cost as in cost-benefit , but price. There are no technical barriers to doing this.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

Data Pine

One of the best beginners’ books on SQL for the analytical mindset, this masterful creation demonstrates how to leverage the two most vital tools for data query and analysis – SQL and Excel – to perform comprehensive data analysis without the need for a sophisticated and expensive data mining tool or application. We wish you the best of luck.

IBM cost 117
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How to Run Successful Predictive Analytics Project for your Business

Marutitech

Overfitting your data refers to creating a complicated data model that fits your limited set of data. On the other hand, underfitting your data refers to the missing parameter, which can provide a transparent and impartial outcome. To avoid this common mistake, devise a data analytics model that fits your set of data efficiently.