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As a developer tasked with building enterprise-level AI applications, you're looking to learn about the tools and techniques that will help you get the job done. In this book, authors Tom Markiewicz and Josh Zheng--developer advocates for IBM--explore a variety of the more common uses for AI in the enterprise including: natural language processing (NLP), computer vision, and chatbots. You'll also learn methods for creating a data pipeline that forms the backbone for building these applications, with new insights on leveraging AI in your hybrid cloud environment.
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IBM recently commissioned Forrester Consulting to conduct a study that evaluated the financial impact of IBM Cloud Pak for Data on organizations. Download the study today to learn how Cloud Pak for Data, IBM's leading data and AI platform, can cut costs and drive revenue with its integrated data and AI services.
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AI is one of the most talked about topics in the defense and intelligence community. Let's stop talking about AI and start using it. This simple and easy-to-understand toolkit will walk you through exactly what AI is and isn't, applications for defense and intelligence missions, and how to put it all into play. Read it, learn it, share it.
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We create over 2.5 quintillion bytes of data every day. That includes customer data: purchases, web visits, mobile app interactions, social media posts, "liked" ads, and call center charts. No human could possibly make sense of it all. Read the digital whitepaper, "Data the natural resource: 4 new ways to engage your customers like never before".
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Today's digital marketers want to engage customers with offers that are based on deep customer profiles, transaction histories and other real-time content about their interactions. Delivering the right offer for the right customer at the right time will dramatically improve marketing results and lifetime customer value. Learn more about marketing automation powered by Watson.