The global artificial intelligence (AI) market size is expected to surpass $1597.1 billion by 2030, and IP protection will continue to play a key role in the market’s development. But how do you go about detecting patent infringement, developing infringement claims and defenses, and embarking on expert and fact discovery for AI-directed patents? Join us for a discussion on complications inherent to and strategies for pretrial practice in AI-directed patent actions.
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Anypoint Monitoring helps you to proactively identify and resolve issues — all in one place with real-time visibility into your APIs and integrations. Ensure business continuity and manage mission-critical deployment with real-time visibility into app performance, customizable dashboards, advanced alerts, and instant access to historical log data.
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Product data is fragmented across marketplaces, websites and online stores. A typical online store receives product data from multiple sources in native file formats hence compromising the quality of product information shared with the end customers. Result: Incoherent product information available for shoppers across channels. In fact, this is directly reflected in the nature of the support queries brands face from their consumers.
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Databricks
Making quality data available in a reliable manner is a major determinant of success for data analytics initiatives be they regular dashboards or reports, or advanced analytics projects drawing on state of the art machine learning techniques. Data engineers tasked with this responsibility need to take account of a broad set of dependencies and requirements as they design and build their data pipelines.Join Suraj Acharya, Director, Engineering at Databricks, and Singh Garewal, Director of Product Marketing, as they discuss the modern IT/ data architecture that a data engineer must operate within, data engineering best practices they can adopt and desirable characteristics of tools to deploy.
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