AI & Machine Learning Summit

#AIMachineSummit

Artificial intelligence (AI) and related technologies have come into its own. AI, including machine learning (ML) and cognitive computing, are revolutionizing and transforming business operations. From healthcare and financial services to manufacturing and education, every industry is profiting from implementing AI and ML initiatives. Organizations can better engage with customers and employees, transform business processes, and make better decisions with insights from deep learning and enhanced analytics. AI’s complex analysis functionality leads to the ability to create new products and optimize existing ones. In a data-driven environment, maximizing new AI and ML technologies provides important business predictions. To equip you with the knowledge to succeed, we are bringing together the leading industry experts for a 2-day immersion into the leading AI and ML use cases, strategies, and technologies that every organization should know about.

 

Monday, Jun 8

Preconference Workshops

Moderator:
Marydee Ojala, Editor-in-Chief, Online Searcher Magazine, USA
 

W1. Introduction to Knowledge Graphs

11:00 AM2020-06-082020-06-08

Monday, June 8: 11:00 a.m. - 2:00 p.m. (ET) / 8:00 a.m. - 11:00 a.m. (PT)

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. An Enterprise knowledge graph’s representation of an organization’s content and data creates a model that integrates structured and unstructured data. Knowledge graphs have semantic and intelligent qualities to make them “smart.” Attend this workshop to learn what a knowledge graph is, how it is implemented, and how it can be used to increase the value of your data.

Speaker:

, COO and Co-founder, Enterprise Knowledge LLC

 

W2. Build An Actionable Roadmap for Enterprise Data and Analytics

03:00 PM2020-06-082020-06-08

Monday, June 8: 3:00 p.m. - 6:00 p.m. (ET) / 12:00 p.m. - 3:00 p.m. (PT)

The starting point in developing and launching an enterprise data and analytics strategy is to understand the interrelationships that are necessary to deliver analytics capabilities. These relationships also account for skills and roles of everyone who works with data, from business executives and business analysts to data scientists. To measure and drive success, an actionable road map, with each phase focused on being lean with a business impact, is required. Attend this workshop to learn how to designate business drivers into analytic capabilities and data priorities, create and implement a road map, and deliver a compelling executive briefing.

Speaker:

, Principal Advisor and CEO, Radiant Advisors

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