As the number of mobile users grows to 5 billion in 2019, companies are under immense pressure to deliver engaging and secure mobile apps, and not just for consumers. Increasingly, mobile apps are an essential tool to unlock employee innovation and productivity. With MuleSoft’s Anypoint Platform™ businesses can send data securely from any system to mobile, leveraging agile and continuous integration and continuous deployment (CI/CD) best practices to optimize consumer and employee experiences while driving revenue and operational efficiency.
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For the past five years, most of the spotlight within automation centers of excellence (CoE) has gone to robotic process automation (RPA) and intelligent automation (IA). Now that these capabilities have made their way into most back and middle office operations, leading businesses are turning their sights to the front office, specifically the countless business interactions every minute between companies and their customers and employees that define how well a company performs.
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Artificial intelligence (AI) and machine learning (ML) continues to develop how we discover and overcome challenges in drug discovery and suggests a promise to transform the path to clinic. These functionalities have the capability to expedite timelines, explore areas of drug space not previously attainable, and in turn, have the potential to reduce costs of progressing a drug through early discovery. Has this idea delivered on its hype? Join us to hear perspectives from AI thought leaders and drug hunters on how AI is actually delivering, and its potential to transform the way we navigate drug discovery.
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Datameer
Modern analytics processes are less about creating dashboards and more about asking “why” questions. Business users and analysts need the ability to dig deeper to answer these questions—to get beyond dashboards and into the wealth of data organizations hold. View this TDWI webinar to learn how data exploration can speed time to insight. During this webinar, TDWI and Datameer will discuss: The role of visual data exploration in analytics cycles and where it can help streamline processes.
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