Session Abstract:
The Industrial Internet of Things (IIoT) has revolutionized manufacturing, ushering in an era of intelligent and interconnected factories. This panel discussion brings together industry experts to explore the remarkable journey of IIoT. We’ll delve into how IIoT has evolved, from its early days of basic data collection to its current state of enabling advanced analytics, predictive maintenance, and real-time process optimization.
The panelists will discuss the impact of IIoT on various aspects of manufacturing, including:
- Increased Efficiency and Productivity: How IIoT is streamlining operations and optimizing resource utilization.
Enhanced Quality Control: How real-time data analysis from connected machines is leading to improved product quality. - Predictive Maintenance: How IIoT empowers manufacturers to anticipate equipment failures and prevent costly downtime.
- The Rise of Digital Twins: How virtual representations of physical assets are revolutionizing maintenance, optimization, and product development.
Looking ahead, the discussion will explore the projected future of IIoT in manufacturing. We’ll examine emerging trends such as the integration of artificial intelligence, edge computing, and 5G networks. The panelists will share their insights on how these advancements will further transform the manufacturing landscape and create a future of intelligent and autonomous factories.
This session is designed to be informative and engaging, offering valuable insights for manufacturers considering or already leveraging IIoT in their operations.
Speakers:
Guy Merritt is an experienced C-suite executive, Guy has 35 years engineering leadership advising and developing IoT solutions, native cloud-based systems, products and engineering & manufacturing test solutions for a wide variety of industries. He is an author of the award-winning book “Proactive Risk Management: Controlling Uncertainty in Product Development.”
Bobby Shkolnikov is an energetic and open leader. He combines the rigor of a process centered approach derived from management consulting with the entrepreneurial vigor to consistently deliver high quality solutions, establish actionable strategy, and deliver strategic initiatives from concept to delivery in the Internet of Things (IoT), Industry 4.0, Digital Supply Networks (DSN), and Digital Transformation spaces. He has helped organizations in the High Tech, Manufacturing, and Med Device sectors with the following: engineer their go to market strategies in IoT, deliver Smart Factory strategy, build business cases for transformative alliances, communicate value and ROI for IoT/DSN investments, deploy IoT solutions in live productions environments, and has run solutions development with cross functional teams.
Shiv Sankaranarayanan serves as an IoT Solutions Architect at SoftServe, where he leverages over 20 years of expertise in Instrumentation, Networking, and Cloud Engineering to facilitate seamless communication between devices, applications, services—and occasionally, people. With a rich background navigating diverse roles in Architecture, Product Development, and Engineering Leadership, Shiv has contributed to industries such as Electrical Relay Testing, Telecommunications, and Life Sciences. Shiv is currently focused on Industry 4.0, and collaborates with clients to develop integrated IoT solutions and deepens discussions around their digital transformation journeys.
Amanda Lambert is President & CEO of Trustcore Technologies. Amanda, a CPA, is a seasoned high-tech executive having served over 15 years in the technology industry. With expertise in strategic planning, cultivating strategic alliances, capital raising, and successfully guiding startups from inception to exit. Now, leading the charge of Trustcore Technologies in addressing the multifaceted challenges of industrial automation by focusing on edge detection. Amanda spearheads a team of experts developing advanced machine learning algorithms to address cyber threats and machine degradation. Providing real-time anomaly alerts and root cause analysis.
