The Four Horsemen of AI

Artificial Intelligence is a complex and often daunting platform. Trying to get your arms around it is challenging, even if you are familiar with it. Overall, however, there are four general top-level domains that, if understood, make deployment and management successful. They are strategy, the ecosystem, regulations, and security (deepfakes and more). These are the areas on the minds of most of the C-level, IT, and developers invested in AI.

This seminar will discuss the many vectors in these areas and make the students aware of the many variables that need to be understood to deploy a successful, optimized, and functioning AI platform within your organization.
 

• How to develop an AI strategy that is both deployable and manageable.
• Creating value and ROI by assessing business value, feasibility, and cost.
• Determining the most important factors that will decide which AI solutions are best for your organization.
• Aligning AI strategy with your existing organizational strategy.
• Where to look and how to decide your approach to AI governance.
• Evaluating initiatives, both locally and globally.
• The deep-fake and security landscape – the threat from dis- and misinformation and why understanding this is of paramount importance in your AI ecosystem.
• Homegrown or vendors. Do you bring development in-house or bring in third parties as partners?
• The knowledge vacuum.

• AI Vision: The AI vision statement is usually forward-looking and aspirational and reflects the organization’s commitment to leveraging AI to deliver positive and responsible outcomes. 
• Business Value Drivers: These drivers represent the ways value is recognized by the organization and are used to ensure candidate AI initiatives are aligned with the goals and objectives of the organization.
• Strategic AI Principles: These guiding principles align the business strategy with the AI strategy and reflect the organization’s overall approach to the use of AI. 
• Responsible AI Principles: These guiding principles govern the development, deployment, and maintenance of AI applications to mitigate the potential risks of deploying AI-based applications.
• Performance and Reliability: Once an ecosystem is in place, it must meet a number of criterion to succeed; accuracy, precision, performance and scalability, KPIs, costs, and ROI all need to be working together to ensure a successful outcome.
• Governance and Regulations: The AI platform must not run outside of the regulation and governance landscape. If not implemented early, these can cost monumental time and money to correct later on.
• Security and Privacy: While deep-fakes are at the center of the radar screen for many organizations and public agencies, they are only a part of the security landscape.

• Individuals who are involved in developing and implementing AI for organizations. Including Government/Public Sector, Financial Services, Media, Information Technology, Telecom, Education, Healthcare, Public Safety, Infrastructures, Retail, Utilities, Transportation, and anyone who has responsibility for their organization/entity’s AI plans.

Ernest Worthman is an analyst and SME in several segments of high technology and the VP of content and Technology for AGL Information and Technology, LLC.

He is also a nationally and internationally published technical editor/writer for wireless, semiconductor, cybersecurity, and other industries and regularly speaks at industry events.

As well, he is a guest lecturer at Colorado State University’s College of Electrical Engineering.

Ernest has over 25 years of experience in high-tech print and online publishing. He has held several editorial positions across several high-tech publications including Semiconductor Engineering’s cybersecurity and Internet of Everything/Everyone (IoX) channels, Editor of RF Design, Editorial Director of Reed’s Wireless group, which included Wireless Design and Development and Fiber Optic Technology He has also been the editor of RF Design and a contributing editor to Mobile Radio Technology, Satellite Communications and others, as well as computer-related periodicals such as Windows NT.

His technical media and writing practice clients include Agilent (now Keysight) Technologies, RF Industries, GLOBALFOUNDRIES, Advanced Linear Devices, and others for which he does technical and engineering writing.

Before that, he had a hardware and software consulting and training practice which, among other things, developed and presented edge-of-the envelope training courses for computer software/hardware and OS’s for Fortune 500 Clients such as IBM and Goldman Sachs. Early on, he was an RF engineer with Motorola.

Ernest’s present credentials include a B.S. Electronic Engineering, A.A. S, Electronic Digital Technology; Senior and Life Member of the IEEE, a member of IEEE’s ComSoc, VTS, MTTS, Big Data, Future Networks, AI, and 5G community, board member of the 6G Alliance, and a Panellist and session chair at various technical conferences. His former credentials include being a Fellow of the Radio Club of America, a Certified State of Colorado Post-Secondary/Adult teacher/instructor; a Member IBM Software Developers Assistance Program and Independent Vendor League; a Microsoft Solutions Provider; an IBM-Certified OS2 consultant and trainer; WordPerfect Corporation Developer/Consultant and Lotus Development Corporation Developer/Consultant.