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Penetration testing methodologies and standards

IBM Big Data Hub

To mitigate and prepare for such risks, penetration testing is a necessary step in finding security vulnerabilities that an attacker might use. What is penetration testing? A penetration test , or “pen test,” is a security test that is run to mock a cyberattack in action.

Testing 83
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The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing 

DataKitchen

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. Automatically creating tests from profile data allows teams to maintain maximum sensitivity to real problems while minimizing false positives that are not worth the follow-up.

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MRO spare parts optimization

IBM Big Data Hub

Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0 Over time, inventory managers have tested different approaches to determine the best fit for their organizations. regulations, undergoing digital transformation and the need for cost-cutting.

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Seekr finds the AI computing power it needs in Intel’s cloud

CIO Business Intelligence

The company needs massive computing power with CPUs and GPUs that are optimized for AI development, says Clark, adding that Seekr looked at the infrastructure it would need to build and train its huge AI models and quickly determined that buying and maintaining the hardware would be prohibitively expensive. Clark says.

IT 119
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Buyer's Guide for Supply Chain Network Design Software

Network design as a discipline is complex and too many businesses are still relying on spreadsheets to design and optimize their supply chain. As a result, most organizations struggle to answer network design questions or test hypotheses in weeks, when results are demanded in hours.

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Sisu Optimizes Analytics with Machine Language for Actions & Decisions

David Menninger's Analyst Perspectives

Data teams and analysts start by creating common definitions of key performance indicators, which Sisu then utilizes to automatically test thousands of hypotheses to identify differences between groups. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

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Lack of Proper Test Data Poses Bottleneck

TDAN

Implementing an optimized test data management program […] Business models are increasingly based on software applications. IT is operating at a faster pace than ever before and has become a vital component of modern business. The speed of application development is becoming a decisive factor for a company’s success.

Testing 75
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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Discover how the AIMMS IDE allows you to analyze, build, and test a model. Don't let uncertainty drive your business.