Topic: Artificial Intelligence

Seminar Topics

[1 CPE] AI, ML, and the Cybersecurity Checklist

  Presented by Paul Carugati • Global Head of Information Security, Syngenta

The dynamic threat landscape is evolving as new cyberattack methods are introduced daily. Generative Artificial Intelligence (AI) and Machine Learning (ML) algorithms are equally evolving and becoming more sophisticated. Navigating AI/ML services against your organization’s cybersecurity risk posture is a maturing discipline, but it may be more familiar than you think. Let’s discuss the practical risk elements of AI & ML in the modern enterprise and how best to protect, detect, respond, and recover from cybersecurity incidents.

Paul is a seasoned IT and Information Security leader with over 20 years of experience in Fortune 300 enterprises. An accomplished information security executive, Paul has a proven ability in the successful execution of global Cybersecurity and Risk Management programs. Paul specializes in building high-performing security teams and fostering a culture of data protection through business enablement, achieving positive, measurable behavioral change through accountability and integrity.

[1 CPE] The AI-Driven Enterprise: Next Generation Campus/Branch Solutions

  Presented by Mark Thames, Director, Global Partner Business Development – AI Driven Enterprise • Juniper Networks

Can you have a conversation with your network? Do you have any virtual employees? I am not talking about humans who work from home. Revolutionary technology only happens occasionally. If you look at the last revolutionary technology, it would have been the smartphone. Before the smartphone, it was the Internet. AI is the latest revolutionary technology that will transform so many of the things we do daily in our lives. In this session, we will talk about the types of AI and how they are being used for positive change. I will cover how many different industries are already leveraging AI to improve business outcomes and transform how we do business and tasks. I will also cover how Juniper Networks has leveraged AI to disrupt the Networking Industry.

[1 CPE] Transforming Networks: Harnessing AI and ML for Optimal Performance

  Presented by Pine Cove Consulting & Ruckus

In today’s digitally interconnected world, networks play a critical role in ensuring seamless communication and data transfer. However, network performance and reliability can often be challenging to maintain. Each year, we see an increased number of devices added to our networks along with more use of high-bandwidth applications. IT teams often lack the tools to ensure required network service levels in an environment of ever-increasing user connectivity demands and network complexity. This presentation aims to explore the potential of artificial intelligence (AI) and machine learning (ML) techniques in overcoming these challenges.

The presentation will delve into various strategies and technologies that can help organizations improve their network performance. We will discuss proactive approaches to troubleshoot network issues before they escalate, saving valuable time and resources. By leveraging AI-powered tools and techniques, attendees will learn how to gain quick yet in-depth insights into their network’s health, enabling them to identify and resolve potential bottlenecks efficiently.

This presentation will also emphasize the importance of customized data reports in network management. Attendees will discover how AI and ML tools can process vast amounts of network data, providing valuable information tailored to their specific needs. This capability allows network administrators to make informed decisions and optimize network performance based on relevant metrics and key performance indicators.

Additionally, cloud radio resource management (CRRM) will be explored to address co-channel interference—a common problem in wireless networks. We will shed light on how CRRM leverages AI and ML to intelligently allocate and manage radio resources via algorithms, mitigating interference and enhancing overall network performance. Attendees will gain insights into the benefits of this approach and its potential to revolutionize wireless network operations.

Overall, this presentation aims to empower network administrators and professionals with the knowledge and tools to transform their networks using AI and ML. By embracing these cutting-edge technologies, organizations can enhance network performance, ensure better reliability, and streamline their operations in the ever-evolving landscape of modern networking.

[1 CPE] How I Really Feel About ChatGPT from an IP Lawyer’s Perspective

  Presented by Bradlee Frazer Esq., Partner, Hawley Troxell Law Firm  • INTERFACE Advisory Council

Everyone wants to use artificial intelligence to increase productivity. AI is a great way to maximize employee efficiency in the enterprise environment. But, in this interactive session, IP lawyer Brad Frazer will give you his perspectives on the legal risks of the unrestrained use of AI in the workplace. He’ll also give you some best practices for using it safely and correctly, to minimize your legal risks.

Bradlee Frazer is a partner with Hawley Troxell and is Chair of the firm’s Intellectual Property & Internet practice group. In addition to emphasizing and focusing on all facets of Internet law, Intellectual Property law, and Information Technology law, he also helps clients with related transactional work and litigation.

Brad is a published novelist, and he has also written extensively for national legal publications and law blogs. He is also a frequent speaker on internet, intellectual property, and computer law topics and is a regular guest lecturer at Boise State University on those subjects.

A Boise native, Brad began his legal career in 1989 as an intellectual property attorney and commercial litigator at a Boise-based law firm. In 1997 he accepted an in-house position as Senior Intellectual Property Counsel with Fortune 1000 company, Micron Electronics, Inc., and remained there through the company’s merger with Interland, Inc. (now Web.com), then the nation’s largest Web hosting company. He eventually became Deputy General Counsel for Micron Electronics, Inc., and Interland, Inc. From June 2003 to February 2006, Mr. Frazer served as Deputy General Counsel to MPC Computers, LLC, in Nampa, Idaho.

[1 CPE] Transforming Networks: Harnessing AI and ML for Optimal Performance

  Presented by Pine Cove Consulting & Ruckus

In today’s digitally interconnected world, networks play a critical role in ensuring seamless communication and data transfer. However, network performance and reliability can often be challenging to maintain. Each year, we see an increased number of devices added to our networks along with more use of high-bandwidth applications. IT teams often lack the tools to ensure required network service levels in an environment of ever-increasing user connectivity demands and network complexity. This presentation aims to explore the potential of artificial intelligence (AI) and machine learning (ML) techniques in overcoming these challenges.

The presentation will delve into various strategies and technologies that can help organizations improve their network performance. We will discuss proactive approaches to troubleshoot network issues before they escalate, saving valuable time and resources. By leveraging AI-powered tools and techniques, attendees will learn how to gain quick yet in-depth insights into their network’s health, enabling them to identify and resolve potential bottlenecks efficiently.

This presentation will also emphasize the importance of customized data reports in network management. Attendees will discover how AI and ML tools can process vast amounts of network data, providing valuable information tailored to their specific needs. This capability allows network administrators to make informed decisions and optimize network performance based on relevant metrics and key performance indicators.

Additionally, cloud radio resource management (CRRM) will be explored to address co-channel interference—a common problem in wireless networks. We will shed light on how CRRM leverages AI and ML to intelligently allocate and manage radio resources via algorithms, mitigating interference and enhancing overall network performance. Attendees will gain insights into the benefits of this approach and its potential to revolutionize wireless network operations.

Overall, this presentation aims to empower network administrators and professionals with the knowledge and tools to transform their networks using AI and ML. By embracing these cutting-edge technologies, organizations can enhance network performance, ensure better reliability, and streamline their operations in the ever-evolving landscape of modern networking.

[1 CPE] 2023: The Year AI Went Mainstream

  Presented by Randy Lariar, Practice Director, Big Data & Analytics • Optiv

AI is accelerating the risk of fraud, but it can also be used to prevent and detect fraud. Companies need to be aware of both the risks and the benefits of AI and develop an offensive and defensive strategy to protect themselves from fraud. During the talk, we’ll touch on:

  • The recent history and latest developments in Generative AI, Large Language Models, ChatGPT, GPT-4, Google Bard, and more
  • How AI is increasing Risk already
  • How AI introduces new kinds of Risk
  • How AI can help solve some of the problems AI creates
  • Approaches for building an offensive & defensive Data and AI strategy

[1 CPE] AI Innovations Fueling Demand for Rapid Network Modernization

  Presented by Joshua Gardiner, Engineering Lead of AI-Driven Enterprise • Juniper Networks

AI recently jumped from a buzzword to the start of a revolution. Juniper is visionary in its use of AI in IT Networking, and we invite you to join our session that highlights the advantages of adopting AI-Driven technologies in your enterprise network.

Attendees will learn how AI can simplify the management of wired & wireless networks as well as support the ever-increasing demands for modern technologies like NAC & SDWAN.

[1 CPE] ChatGPT Did NOT Write This Topic (or did it?)

  Presented by Brian Knopp, Principal Security Engineer • Arctic Wolf

Are “AI” and Machine Learning tools like ChatGPT having an impact on cybersecurity? This session will examine the top attacks looking back on 2022. We’ll define them by quantifiable impacts, like affected individuals, cost, and data breaches. We’ll also discuss key sociological and economic factors that increased vulnerabilities in 2022, identify industries that saw significant attacks, and summarize the top 5-6 data breaches and evaluate the impact of these threats on personnel retention and insurability, 2023 predictions, and the most common recommendations to improve your security posture.

[1 CPE] Why Smart Cities Are Safer Cities Thanks to Real-Time Data and AI

  Presented by iT1 Source & Wireless Guardian

Intelligent technology helps public safety organizations gain a holistic understanding of their cities, deepen public confidence and strengthen community connections. This session will explain the relationship the using Real-Time Data and Artificial Intelligence to create safer, more resilient communities. As part of the discussion, the presenter will explain the following:

  • Data and AI are helpful in real-time response
  • Data and AI are also reshaping long-term public safety processes
  • How smart safety technologies aid in environmental monitoring, emergency management and other situations
  • How smart technology pulls in signals from an array of sources across cities

The presenter will also stress public safety isn’t a top-down hierarchy. It’s actually a collective effort that prioritizes the needs of the community and depends on strong relationships. By realizing the future of public safety, smart city technology transforms the ability to serve local communities.

[1 CPE] Why Smart Cities Are Safer Cities Thanks to Real-Time Data and AI

  Presented by iT1 Source & Wireless Guardian

Intelligent technology helps public safety organizations gain a holistic understanding of their cities, deepen public confidence and strengthen community connections. This session will explain the relationship the using Real-Time Data and Artificial Intelligence to create safer, more resilient communities. As part of the discussion, the presenter will explain the following:

  • Data and AI are helpful in real-time response
  • Data and AI are also reshaping long-term public safety processes
  • How smart safety technologies aid in environmental monitoring, emergency management and other situations
  • How smart technology pulls in signals from an array of sources across cities

The presenter will also stress public safety isn’t a top-down hierarchy. It’s actually a collective effort that prioritizes the needs of the community and depends on strong relationships. By realizing the future of public safety, smart city technology transforms the ability to serve local communities.