Vectorcast
Too often, teams work without understanding the context of what they are building and why, creating silos where there should be alignment. Fortunately, there is a solution: traceability. By linking test cases and code coverage to the business and technical requirements teams can better understand what they are building. For companies building regulated products according to strict standards, this added context and traceability is essential.
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Machine Learning (ML) can empower a business and optimize its performance. However, according to Gartner, 85% of data science and machine learning projects fail.
These projects aren’t delivering value because companies lack technical skills and have recurring issues with data infrastructure, deployment, and operationalization.
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servicestrategies
A recent Forrester Research report showed that over 40% of business and tech professionals surveyed are interested in AI for Customer Support. And, according to the Service Council, 50% of service organizations are facing significant talent shortages that are negatively affecting their business, with another 38% expecting issues soon. The need to always improve the customer support experience coupled with the loss of skilled employees to retirement is creating a “Know-How” gap that is difficult to replace.
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loomsystems
Learn how to calculate the benefits of AIOps in terms of reduction of resolution time, end-to-end-end correlation, lowering service tickets, and decreasing the time IT staff spends on responding to incidents.
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