Artificial intelligence in action: Horizontal enterprise solutions—Conversational AI
Who is this presentation for?
- Enterprise developers, data scientists, and the enterprise CXO suite
Across segments, enterprises are exploring novel ways of providing stellar customer service. Conversational AI is delivering just that—high-quality customer service, available 24-7, and in a geography-agnostic manner.
Juby Jose and Rohit Israni dive into how enterprise customer service is being reimagined with the power of conversational AI. Speech and language cognition technologies (natural language processing (NLP) and natural language understanding (NLU)) that enable digital assistants like Amazon Alexa are finding their way into enterprises. Gartner estimates that by 2020, 25% of customer service and support operations will integrate virtual customer-assistant technology across engagement channels of voice, chat, email. Juby and Rohit also explore how Xeon Scalable Processors accelerate the transition to intelligent conversational AI services.
- A basic understanding of AI terminology
What you'll learn
- Discover how conversational AI is reimagining enterprise customer service
Juby Jose is senior engineering manager at Intel and has 16 years of industry experience spanning embedded software engineering and product management. She’s leading AI applications in the domain of speech and language processing. Her expertise areas include mobile platforms, IoT applications, and machine learning and deep learning applications. Juby completed her MBA from the Indian School of Business, Hyderabad.
Rohit Israni is the director of strategic business development for AI programs in the Developer Relations Division at Intel, where he leads a global team responsible for bringing Intel’s AI initiatives via the Intel AI Academy and Intel AI Builders to universities and independent software vendors (ISVs) worldwide. He’s also the vice chair of US TAG of the International Committee for Information Technology Standards (INCITS) steering committee on AI (JTC 1/SC 42). Rohit has 20 years of multifaceted experience in engineering, new product innovation, strategy, finance, and business development in both large and small companies. He’s strategized and executed a wide variety of transactions including mergers, acquisitions, divestitures, LBOs, fundraising (both debt and equity), investments, partnerships, and alliances. Previously, he developed industry-leading pattern recognition algorithms at imaging technology (M&A Teledyne DALSA) and in the Advanced Technology Group at KLA-Tencor. He holds two patents in machine learning and image processing. Rohit earned his master’s degree in engineering with a specialization in robotics and AI from Tulane University and his master’s degree in management science and engineering from Stanford University.
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