A lot of hype and a lot of misunderstandings surround Digital Transformation. Some companies have shied away from embracing this evolution because they aren’t sure where to begin or can’t see a clear value proposition.
ISA’s Second Annual Digital Transformation Virtual Conference takes a two-pronged approach to this problem. We are developing parallel tracks, one highlighting technological applications and the other focusing on adoption case studies. This live on-line event offers participants a deep dive into the financial and organizational benefits of embracing automation technology.
End-user experts will explain how digital twin, predictive analytics, and machine learning improved efficiency, reduced costs, and enhanced safety at their companies. Case studies will map out real-world applications of these transformative technologies and offer no-nonsense solutions for operational and manufacturing challenges you face every day.
Advances in automation technology are transforming the industrial landscape. Adoption doesn’t have to be intimidating. Let our presenters show you how to identify the entry points that will best serve your business model. Don’t fall behind the competition. Participate in ISA’s live, interactive sessions. Meet the experts. Hear how they overcame technological and cultural obstacles to reap short-term benefits while setting the stage for a real digital transformation.
*Times subject to change
Canvass AI provides a patent-pending no-code, machine learning-based software solution that simplifies the process of building, training, and scaling applied industrial AI in industrial day-to-day operations. Unlike other solutions, Canvass AI puts the benefits of AI in the hands of operators by automating the data ingestion and visualization process, enabling process engineers to quickly apply AI data applications – without requiring coding skills. By operationalizing machine learning, Canvass AI continuously trains the AI models, empowering operators to improve OEE by addressing industrial manufacturing’s most important AI use cases, such as anomaly detection, asset, and process optimization, defect part detection, asset failure prediction, forecasting, and to model what-if scenarios.
In this session we will discuss Andy’s approach to successfully building 5 offshore North Sea Digital Twins from legacy engineering information, some originating back to the 1990’s. The step-by-step approach discussed will cover how through a series of agile (continuous improvement) sprints, value can be iteratively delivered. This pragmatic approach included engineering data and documentation & registers, photogrammetry, laser scanning & meshes, 3D models and finally the Engineering Digital Twin. The presentation focus is not on the theory, but the actual practical delivery of a technology enabled platform.
Human Performance Experience (HPX) represents the next positive disruptive dimension for humans at work, combining the human centric design principles of Industry 5.0 with the cyber physical technologies of Industry 4.0.
Work has long been associated with toil, drudgery and a history of egregious working conditions, catastrophic disasters, physical injury and mental anguish. The last milestone in terms of universal experience advancement for working people was the introduction of the 8-hour workday, 40-hour workweek and the limitations placed on child labor. In the 80 years since, generations of workers have experienced organizations making advancements across the physical, technical and cultural aspects of their working environments. However, most advancements targeted improving employee productivity and not specifically improving the worker experience.
Join ISA and Brent as we talk about what's next in Digital Transformation with this revelation.
There is a lot of hype around Digital Transformation and Industry 4.0, but for many people these concepts are still vague, and the benefits are unclear. Getting quick, actionable information out of your data doesn’t have to be complicated, nor does it have to require a background in data science. Discover the opportunities that disruptive technology offers the process industry, and how to get started. Learn how TrendMiner’s self-service approach makes this change easy and achievable so you can analyze plant data to make data-driven decisions on a day-to-day basis.
ETSI believes that well-written and unambiguous European standards are setting the scene for standards uptake in other regions of the world too. ETSI now counts more than 900 member organizations worldwide, drawn from over 60 countries and five continents. They recognize a specification may originate from national standards needs and we embrace that approach, but they do now spend most of our time working with Regional and multi-National partners, on what are increasingly ‘Global’ solutions.
In addition to the direct participation of our members, to meet their standards needs, ERTICO is a key partner organization for ETSI. As a public private partnership, ERTICO unites the views of various stakeholders and offers us guidance on their requirements.
The EU-funded projects that ERTICO are implementing are of great interest, as they offer us a test bed for future standards based deployments. In my view, our standards do need the technical output from these research projects, as a central part of the innovation life cycle.
As technology evolves, large corporations will increasingly see ICT standardization as being the level playing field, where they can commit to the maintenance of an interoperable, multi-vendor market place.
The involvement of new sectors in ICT standards is increasing and we have many new players, some with potentially conflicting requirements from the network.
Adrian feels that through their partnership with ERTICO, they can act together to raise the level of dialogue on finding the best way to meet the growing demands on standards groups.
For an organization to develop or implement any program there should be a well-defined plan in place, that identifies the value and benefits of that program. A good example of such a program is the Digital Twin. Depending on the organization, and whom within the organization you speak with, the Digital Twin can mean different things. The expectations of what a Digital Twin can offer can be different as well, which can be challenging when identifying the value proposition for an organization. This presentation will provide a few considerations on how to determine the value proposition of the Digital Twin. The presentation will also address some of the challenges that organizations face when developing and implementing a digital twin strategy, and finally offer some considerations when trying to determine if a Digital Twin will add value to an organization.
We know Supply Chain Analytics is a significant challenge for most manufacturing and automation companies. According to Bain & Company, "More than 85% of executives believe their current supply chain capabilities will not deliver the traceability needed to remain resilient and sustainable in a post-COVID world." Join us to learn how you can use Tableau solutions to overcome common supply chain data challenges, gain full visibility into your supply chain, and remain resilient and agile.