Reduce Java software maintenance costs by 30-40% by efficient engineering of technical debt

Technical debt is almost always unavoidable while developing and maintaining large applications under strict deadlines, resource and skill constraints. Technical debt manifests itself in many forms - substandard and inconsistent design, improper usage of technology and frameworks, poor or no documentation, etc. This webinar will discuss the current techniques used in the industry and suggests new techniques and tools to better manage the technical debt, thereby reducing the overall maintenance costs significantly. The webinar focuses on Java applications, but the ideas presented would equally apply to applications built using other languages.
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Spotlight

OTHER ON-DEMAND WEBINARS

Multi-phased attacks: the 1-2 punch that can knock your business cold

Vade Secure

Heading into 2019, the volume—and sophistication—of email threats is growing. Phishing is virtually indistinguishable from legitimate brand communications, spear phishing is hyper-personalised using publicly available data, and insider attacks are surging due to the popularity of cloud email services. But the biggest danger of all is when cybercriminals combine these vectors in multi-phased attacks.
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You can’t spell Automation without Artificial Intelligence

Automation is a key variable to a company’s success. But how do we know how to build the right automation? Building automation powered by artificial intelligence can help ensure that the best actions are taken at the point of maximum impact. In this webinar, Nicolai Johnson-Borelli, SpringML, and Marco Casalaina, Salesforce, discuss how Salesforce’s Einstein product suite, such as Einstein Discovery and Einstein Recommendation Builder, can enable intelligent automation to streamline and scale decision-making.
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Making Application Mobility for Test/Dev Across VMware Infrastructure and Public Clouds a Reality

Cohesity

Enterprise organizations that are in the process of transforming their private VMware clouds into hybrid clouds are often presented with scenarios for making on-premises virtual machines, applications, and data readily usable in public clouds. Traditionally, achieving such tasks is not easy due to the migration and conversion of virtual machines and how it may impact application and data stored within them.
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Making AI Business-Smart: Turning understanding into action

sas

Data science is only of benefit if the output can quickly be put into systems that can use them simply and confidently. This webinar will show how machine learning models can be easily deployed into batch, real time and in stream applications.
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