When it comes to IoT people are developing solutions either to save money, make money or to comply with regulation. However much of the regulatory environment is trying to provide a framework for success in deployments. This general session looks at the issues being debated in government and how it will impact IoT solutions.

Our classic session where we ask the simple question; who makes money, and where does smart money go to invest in IoT? This panel of movers and shakers gives us their perspective on the who and why of IoT success.

Although the number of IoT projects continue to increase, the failure rate of IoT deployments is still surprisingly high. With a blank check and unlimited corporate access, system integrators can make almost any combination of IoT devices, networks, and IoT platforms work together. But what if an organization must implement through their own IT department and do so within a defined budget? George Mulhern, CEO of Cradlepoint, explains how to build Enterprise-grade IoT solutions that meet the requirements of both the IT and OT teams and increase the success rate of IoT deployments.

Scaling the IoT: Enabling a world in which consumers and businesses enjoy rich new services, connected by intelligent and secure mobile networks.

Industry 4.0 represents one of the most innovative verticals in IoT. Enabling Enterprises to benefit from IoT while maintaining production requires new solutions. This panel identifies actionable insights for Industrial IoT Edge applications with examples of analytics, productivity and quality that directly impact ROI.

The IoT market in South America is projected to bypass $19 billion by 2023, according to a market research report published by P&S. The region's IoT boom is largely attributed to the number of governments increasing their efforts across the region and the development of smart cities across the continent. How are major organizations in this region preparing for and contributing to the flourishing South America IoT market, and how is the global IoT market responding?

Managing Production is the focus of Operations, reporting on production is the focus of IT. The result is that one looks at the means to the end while the other looks at the end result. This often materializes in a failure to communicate effectively. How does IoT enable better understanding between the departments to improve production, planning and profit?

It’s one thing to gather “Big Data”, it’s another thing entirely to determine how to find the relevant data and put it to action. This session is about how analytics can bring insight and measurable improvement when using IoT to gather, deliver and execute.

The justification for expanding services in manufacturing requires more customer insight. This discussion is about where to find the value and how to deliver services customers need.

Machine Learning and Artificial Intelligence technologies are now widespread and it’s important to step back and consider how far we have come. What have we learned about creating models, experimenting with design, and ensuring fairness and representation of our users? The lifespan of a product is changing, and static products are no longer viable. Any devices coming out in the future must be able to learn over time and produce feedback. In this session, Ricardo Prada, Director of UX at Google, will discuss how creating models and doing experimentation in design has brought us to the current state of Machine Learning and Artificial Intelligence and will continue to change the world.

What are the economics of migrating processing to the edge? What is about the cloud that makes Edge Computing and Edge processing attractive. This discussion is about migrating processes that need real time interfaces for actuation and AI. It also is a discussion about how to optimize the edge of better data center and cloud interfaces. Learn what is happening at the edge of the network.

Within the factory, assets and inventory can be tracked with sensors, allowing for better accountability and product management. From there, industrial IoT allows the business to look at almost all components of the operation–from employees to forklifts–as assets that can provide opportunities for revenue growth if managed correctly. Using intelligence as part of the product development IoT model can also have an impact on development of processes, changing how products are innovated and built.

This session will focus on two separate real life cases of Predictive Maintenance. In both cases we enabled industrial customers to improve the technical availability of their machines and robots. The presentation will detail steps and issues resolved in developing the Data Lake and the required Machine Learning algorithms that enable corrections and improvements to industrial controls. By combining traditional Engineering approach (FMEA, RCM and Kaizen) with the Machine Learning approach (full data set analytics and multivariate correlation analysis) a Digital Twin is developed. This impact the specific manufacturing process that is way more reliable and predictable than what could be done in the past just with the Engineering approach. As these approaches continue to develop AI becomes a reality.

Today, it is vital that retailers know their customers better than they know themselves. Success can no longer be defined as giving customers what they want, but by anticipating what consumers need before they need it. Moving forward, success will be measured by how well retailers can personalize, customize and digitize consumers’ experiences. This is why the in-store experience is ready for disruption. From the fitting room mirror all the way to the storefront window to browsing and buying in a self-service environment – consumers are looking for seamless, integrated experiences, regardless of the channel allowing them to transition effortlessly from their digital device to physical store and move between platforms such as apps to text messages. The next evolution of IoT will be about the collection of the IoT experience made possible by a group of devices — and making those devices work in concert to deliver a more fully IoT-enhanced experience.

Advances in AI are already demonstrating the potential to augment what humans are capable of, and they are already fundamentally changing our lives in ways we couldn’t have imagined even five years ago. As AI becomes a critical part of mainstream products, services and other innovations the deployment of these technologies becomes critical. Fog and edge are deployment models for AI that is already revolutionizing the way that we think about the intelligent edge. In this session we will explore how fog and edge are delivering on AI’s promise in terms of rapid deployment and scaling, as well as enabling scenarios that are challenging with the cloud alone.

How are IoT leaders developing smart city awareness and driving commitment from critical stakeholders? How do leaders in smart cities, counties, and states achieve success through collaboration and key partnerships? What technology challenges lie ahead, and how are leaders overcoming those challenges and working toward a new generation of smarter infrastructure, sustainability, safety, and citizen services?

Everybody has critical and hazard prone assets, but how many of us are compliant for safety and best performances all the times? How do you handle escalations in the value chain? FOG Edge computing IoT is a great approach. EKATRA will show 2 case IoT studies to Reduce the Overhead of Staying Compliant in several fuel deposits and even nuclear plants.

Obviously Industry 4.0 is not going to go through the same hype cycle as cellular generations, but the time has come to look at the accomplishments of IIOT 4.0 and ask the simple question. How do we get to the next phase of optimization and execution? This panel looks at the standards and best practices and then what gaps and opportunities exist for improvement.

Security is like an onion it has several layers and sometimes cutting through the layers can make you cry. How do you implement a full strategy that covers everything from the physical security of sensors in the field to back end systems vulnerable to denial of service and other Internet based cyber attacks? This panel gets past the fear to speak about the practical.

LPWAN is a solution that extends range while lowering cost. The result is a solution that fits almost all network requirements for IoT transmissions. However, the vertical markets vary widely as to their needs and make it so solution selling can limit the discussion. How do LPWAN manufactures and service providers point to the opportunities.

5G is a lot of things its solving the large and small problems of network delivery, but it’s biggest issue for IoT is marrying the technology to what exists and the innovation in all network solutions. This panel looks at how IoT benefits from 5G using solutions that exist today and technologies coming to us in the near future.