Enterprise organizations have a range of core business operations able to utilize AI technologies, however, this one-size-fits-all functionality can be a non-starter for some industries. Whether due to regulation, government oversight compliance, or unique requirements, these vertical markets may appear to be laggard adopters. Hear how these companies can innovate using intelligent solutions for sales, marketing, finance, engineering, HR, customer service, change management, corporate governance, and more.

Friday, October 25

Harborview 1

7:45 am Registration Opens

8:00 Continental Breakfast (Harborview Foyer)

8:15 am – 12:30 pm Keynote Session (Harborview)

12:30 Networking, Coffee & Dessert in the Expo – Last Chance for Viewing (Commonwealth Hall)

1:45 Opening Remarks

Mickey North Rizza, Program Vice President, Enterprise Applications and Digital Commerce, IDC

1:50 PANEL: Augmenting Human Intelligence for the Future of Work

The automation of jobs is creating anxiety; however, change is primarily occurring around procedural work tasks that humans don’t like doing. For knowledge work, augmenting human intelligence enables workers to focus on complex, subjective, and creative work with faster time to insights. The shift places greater emphasis on soft skills, such as critical thinking, cognitive flexibility, emotional intelligence, and lifelong learning. By expanding human perception, the workforce is prepared for the future of work; a competitive imperative that changes the way industries operate and businesses compete.

Moderator: Steve Ardire, Force Multiplier 'Merchant of Light', Independent AI Startup Advisor

Panelist: Byran Dai, CEO, Daivergent

Norbert Monfort, Vice President, IT Transformation and Innovation, Assurant 

Ivan Yamshchikov, AI Evangelist, ABBYY 

2:20 AI for Strategic Enterprise Functions: A Market Overview

Mickey North Rizza, Program Vice President, Enterprise Applications and Digital Commerce, IDC

2:40 Applied AI in Multiple Phases of the Architecture, Engineering, and Construction Sector

Badri Hiriyur, PhD, Director of AI, Thornton Tomasetti

While the AEC industry is one of the largest in terms of the number of people employed and financial impact, it is also one of the least efficient in terms of long-term productivity growth. In this talk, we present some of the ways in which AI- and machine learning-powered systems are being employed to change this situation and bring about vast efficiency improvements in many AEC workflows and processes.

3:10 Networking Break (Plaza & Harbor Level Atriums)

3:25 Building a Team That Lasts: How to Build an AI Team for the Future

Adam Jenkins, PhD, Associate Director of Global Data Science, Biogen, Inc.

One of the most underestimated difficulties in the creation and implementation of AI is the development of a team structure that allows for ideas and intelligence to flow pervasively to all. From hiring the right people to keeping those employees who are valuable to your team, difficulties exist in all facets as the market for these skills is ever-expanding. This talk discusses tactics for hiring, retention, team cohesiveness, and long-term viability of an ML team in the real-world enterprise.

3:50 The Nature of Work is Changing with Artificial Intelligence

Craig Le Clair, Vice President, Principal Analyst, Forrester Research 

Companies spend a lot of money, time, and effort on choosing the right AI technology and vendor. While important, these elements of an AI project aren’t typically the factors that determine success. Instead, it’s fundamentals about your firm – your people, leaders, and organizational structures – that will lead to success or failure. This session helps leaders address these fundamentals and prepare for a future where the nature of work itself is changing.

4:15 Preparing your Data Center for Digital Transformation and AI OPs 

Dawn Fitzgerald, Director of Digital Transformation Data Center Operations, Schneider Electric 

Digitization and unlocking the power of AI OPs is a Data Center industry goal, but achieving this goal has proven elusive for most Data Center facilities. Digitization of daily methods of procedure operations (MOPs) and planned maintenance (PM) is the foundation required to unlock the benefits of Condition Based Maintenance, Predictive Analytics and AI Ops. This presentation provides an overview of the steps to digitize Data Centers on the journey to AI Ops.

4:45 Close of AI World 2019