Serving the energy industry for over 30 years
By - Jon Brown

Enterprise AI: Practical Adoption Strategies
January 26, 2021 | Online :: Central Time

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The information technology industry has grown exponentially in recent decades. In 1980 global IT was a $50 billion industry. Today it has increased to more than $4 trillion. During the last 40 years, software has transitioned from custom applications to enterprise applications, to mobile apps and SaaS, and now to AI-enabled enterprises, bringing major increases in productivity. In each of these transitions, companies that failed to take advantage of new technologies were unable to stay competitive. Another major transition is happening now. New tech advances in artificial intelligence are driving global transformation at the enterprise level. With the sudden increase in remote workplaces and online commerce, coupled with smaller workforces brought on by the COVID-19 pandemic, companies must quickly adopt AI strategies and integrative software to remain competitive. Many mid-level enterprises, especially energy sector and financial companies, need guidance on adopting ambitious and productive AI projects that aren’t overwhelming.

Attend this course to discover how to leverage AI to future-proof your organization and learn from those who have successfully adopted AI strategies. Attendees will come away with actionable intelligence to enrich business processes, advance strategy, and foster innovation.

Learning Outcomes

This course will provide attendees an opportunity to:

  • Identify how to leverage AI and machine learning technologies to increase productivity with smaller workforces
  • Get a detailed picture of AI use cases
  • Discuss big picture strategies for successful AI project implementation
  • Identify how to take advantage of a collaborative network for AI opportunities
  • Explore practical steps toward AI solutions for situational awareness
  • Demonstrate an understanding of strategic risk management for new AI technologies
  • Develop a working knowledge of procurement and contracting for AI
  • Discuss the nuances of AI integration and scaling for your enterprise




EUCI has been accredited as an Authorized Provider by the International Association for Continuing Education and Training (IACET).  In obtaining this accreditation, EUCI has demonstrated that it  complies with the ANSI/IACET Standard which is recognized internationally as a standard of good practice. As a result of their Authorized Provider status, EUCI is authorized to offer IACET CEUs for its programs that qualify under the ANSI/IACET Standard.

EUCI is authorized by IACET to offer 0.7 CEUs for this event.


Requirements for Successful Completion of Program

Participants must be in attendance for the entirety of the course to be eligible for continuing education credit.

Instructional Methods

PowerPoint presentations, video, and Q&A will be used in the program.

Who Should Attend

Mid-level corporate enterprises, especially within the energy sector and banking & finance sector. Job titles include:

  • CEO
  • CTO
  • COO
  • Chief Data Officer
  • Chief Information Officer
  • Chief Digital Officer
  • VP or Director of AI
  • VP or Director of Machine Learning
  • VP or Director of Data Science
  • Digital Program Manager
  • Engineers
  • Developers
  • Consultants
  • Investors


Tuesday, January 26, 2020 : Central Time

8:45 – 9:00 a.m. :: Log In and Welcome

9:00 a.m. – 4:30 p.m. :: Course Timing

12:00  – 1:00 p.m. :: Lunch Break

How to Leverage AI to Streamline Business in the Pandemic

AI and machine learning technologies fulfill business objectives by increasing productivity and disseminating critical data with smaller workforces. After the pandemic is over, organizations adopting these technologies will create a wide range of business advantages for themselves. Leaders in all industries need to be thinking about whether, how, and where they should be investing in AI-based technologies. 

Kyle Hoback, Director of Market Enablement, WorkFusion

AI Adoption in the Energy Sector

Has the global pandemic accelerated the adoption of digital transformation in the Energy Sector?

Just about every industry has seen the impact of the global pandemic in emptying offices and employees turning their spare bedrooms into work-at-home offices. Conferencing technologies like Zoom, Skype and Microsoft Teams have grown exponentially. These are the  obvious signs of how the challenges of 2020 have impacted every industry. But while these trends are driving an accelerated adoption of digitization, have they impacted the Energy Industry’s uptake of digital transformation?

Jim Crompton, Managing Director, Reflections Data Consulting, and former Senior Advisor for Upstream IT, Chevron

AI for Real-time Situational Awareness

Organizations are drowning in streams of live data and struggling with solutions on how to make AI work in the “real world”. In this session we’ll cover practical steps toward solutions for situational awareness. How can we deliver AI-driven insights fast enough to satisfy the need for real-time situational awareness?  Is it possible to analyze, learn and predict from streaming data on-the-fly, avoiding the complexities of model building, training and “ML-Ops”? Continuous intelligence offers a powerful opportunity to organizations to deliver real-time analysis from streaming data to users within milliseconds. 

Simon Crosby, CTO, SWIM.AI

Enterprise AI: Strategic Risk Management

An evolving risk landscape is emerging with the adoption of AI across legal, regulatory, compliance and conduct categories. This session will detail risks that need to be considered and managed as part of the AI innovation process. Organizations must be able to effectively mitigate risk, as well as any ethical implications of AI deployment.

James Brusseau, Director, AI Ethics Research Institute, Pace University

Scaling AI for the Enterprise

If your enterprise has had a successful AI project, the next challenge is how to scale these results into long-term positive impact. In this session, attendees will learn best practices for deploying AI solutions across industry verticals and will discuss how to maximize value by ensuring your team is equipped with the right tools for customization.

Adam Smith, CTO, FedEx

Integrating an AI Program into Existing Enterprise IT Architecture

  • How to evaluate AI programs and pilot projects, whether conducted internally or with outside partners
  • Best practices for procurement and contracting
  • How to become “AI ready”: practical advice around data, compliance, and ownership of tech

Anthony deFazekas, Partner, Head of Technology & Innovation, Norton Rose Fulbright

Collaborative Ecosystems for Organizational Value

Some mid-level enterprises are struggling with the resources for AI adoption. The strategic creation of collaborative networks can ease the roadblocks to innovation. This session will detail best practices for collaboration to meet the commercial needs of integrating and scaling AI.

Anthony deFazekas, Partner, Head of Technology & Innovation, Norton Rose Fulbright


  • James Brusseau, Director, AI Ethics Research Institute, Pace University

  • Jim Crompton, Managing Director, Reflections Data Consulting, and former Senior Advisor for Upstream IT, Chevron

  • Simon Crosby, CTO, SWIM.AI

  • Anthony deFazekas, Head of Technology & Innovation, Norton Rose Fulbright

  • Kyle Hoback, Director of Market Enablement, WorkFusion

  • Adam Smith, CTO, FedEx

Online Delivery

We will be using Microsoft Teams to facilitate your participation in the upcoming event. You do not need to have an existing Teams account in order to participate in the broadcast – the course will play in your browser and you will have the option of using a microphone to speak with the room and ask questions, or type any questions in via the chat window and our on-site representative will relay your question to the instructor.

  • You will receive a meeting invitation will include a link to join the meeting.
  • Separate meeting invitations will be sent for the morning and afternoon sessions of the course.
    • You will need to join the appropriate meeting at the appropriate time.
  • If you are using a microphone, please ensure that it is muted until such time as you need to ask a question.
  • The remote meeting connection will be open approximately 30 minutes before the start of the course. We encourage you to connect as early as possible in case you experience any unforeseen problems.


Please Note: This event is being conducted entirely online. All attendees will connect and attend from their computer, one connection per purchase. For details please see our FAQ

If you are unable to attend at the scheduled date and time, we make recordings available to all registrants for three business days after the event

Event Standard RateAttendees
Single Connection - Enterprise AI: Practical Adoption StrategiesUS $ 795.00
Pack of 5 connectionsUS $ 3,180.00
Pack of 10 ConnectionsUS $ 5,565.00
Pack of 20 ConnectionsUS $ 9,540.00
Call us at 303.770.8800 if you have any specific questions on the volume discounts
* all other discounts do not apply to license packs

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Cancellation Policy

Your registration may be transferred to a member of your organization up to 24 hours in advance of the event. Cancellations must be received on or before December 18, 2020 in order to be refunded and will be subject to a US $195.00 processing fee per registrant. No refunds will be made after this date. Cancellations received after this date will create a credit of the tuition (less processing fee) good toward any other EUCI event. This credit will be good for six months from the cancellation date. In the event of non-attendance, all registration fees will be forfeited. In case of conference cancellation, EUCIs liability is limited to refund of the event registration fee only. For more information regarding administrative policies, such as complaints and refunds, please contact our offices at 303-770-8800

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