How to Integrate AI on the Edge: A Session on Strategy and Tactics
Join the Webinar
Thursday, 15 April 2021
2:00 PM TO 3:00 PM EST
With an explosion in the availability of consumer data, deep insights can be derived into individual consumer behavior. With continuous development in the fields of Machine Learning and Deep Learning, AI makes personalized marketing-at-scale, a present-day reality.
However, acute shortage of expertise is one of the major challenges in the adoption of AI in Marketing.
“According to a recent PwC study, 72% of respondents viewed AI as a “business advantage”, however, research shows that 85% of AI projects fail due to risk, confusion and lack of upskilling among marketing teams.”
Therefore, there is a considerable demand-supply gap for professionals who can use AI to influence, guide, or take marketing decisions related to product positioning, competition analysis, and customer sentiment analysis to enhance marketing yield and customer experience.
How can you implement machine learning (ML) and embedded vision applications? Join us at our upcoming Webinar where we will introduce the concept of artificial intelligence (AI) on edge computing.
This webinar will discuss how machine vision AI technology is being adopted to solve real-life industrial problems at the edge. We touch upon the security strategy, broad set of controls, and recommendations to enable use of cloud based services in any enterprise.
Featuring thought-leaders from Dash Technologies, attendees will learn how new technology is making it possible to quickly and easily get started and define a business value with machine vision AI before scaling up to production-ready solutions using the very same technology. Speakers will highlight how harnessing insight from vision data and AI can inform operational decision-making today, drive action and make an impact on the bottom line.
High-Level Understanding of Artificial Intelligence and Machine Learning (AI/ML)
Key Innovation, Revenue Generating and Cost Savings Opportunities for AI/ML in the Enterprise
AI/ML Enterprise Customer Use Cases
AI/ML Products and Services
Support & Resources
Q & A
VP of Sales and Marketing
VP of Delivery and Innovation
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Give us a call or drop by anytime, we endeavour to answer all enquiries within 24 hours on business days.