Connected Enterprise

A presentation discussing how machine learning and artificial intelligence will impact on management of supply chains across industry.

• Evaluating different approaches to managing the entire supply chain using IoT – from raw materials to warehousing and last mile deliveries.
• Discussion of the benefits of end-to-end data sharing between stakeholders along the supply chain – linking ERP systems to front end CRM to creat dynamic business models that react to customer demand.
• Visions for the future – what role will blockchain and smart contracts play?

Factories and Warehouses which were once stand-alone secure parts are now becoming more and more connected, and hackers are increasing in sophistication, therefore new attack vulnerabilities are emerging. What are the best ways to minimise vulnerabilities within the industrial IoT stack?

• Business without borders – owing to the nature of logistics, a huge consideration of this is having an effective connectivity network to enable this enhanced technology.
• delays in routing and loading can also hit margins hard – and the ever-increasing complexity of supply chain management is turning the pressure up even higher
• Small insights that make big differences, data that can analyse driver behaviour, Fuel efficiency and predictive maintenance.

By outfitting fleets with smart technology, logistics companies are reducing risk within customer supply chains and saving billions of dollars whilst representing the cutting edge of technology and innovation in shipping.

• Looking at the way in which IoT-enabled smart manufacturing can provide visibility of resources, assets, processes, for enhanced productivity and better ROI.
• Process Automation – moving beyond IoT to intelligent objects.
• In addition to the IoT, this discussion will look at the impact of Artificial Intelligence (AI), machine learning, and Virtual Reality (VR) on manufacturing.

Are technologies previously used for asset tracking and management such as RFID, NFC becoming obsolete as the need for more intelligent connected systems emerges?  What are the options for asset tracking using other options such as visual processing by wearables?  How have advances in connectivity such as Bluetooth Mesh networks and LoRaWan impacted on next generation asset tracking and inventory management? Discussing the need for real time feedback on assets.

• Discussions around the diversity of IIoT applications and their requirements, introduces a paradigm shift for connectivity solution and new business models to enable new ways of working and new services.
• The seamless integration of standards into the IoT – moving from proprietary solutions to standards allows for interoperability along the entire supply chain.
• How businesses are using de-centralized, autonomous device networks enable fast and efficient deployment of large-scale industrial IoT
• The role of Ultra-low-power wireless technologies for the enterprise-focused internet of things

• How does the era of IoT change the relationship between retailers and their customers e.g through Smart mirrors, wearables, dressing rooms, supply chain management and individualised marketing.
• Discussing how to integrate seamless and secure payment systems into a plaethora of IoT devices, from cars to smart bracelets.
• What role can technology like RFID and Bluetooth beacons play within the smart retailing and payments environment – through inventory management to loss prevention.
• Real life examples of how IoT is being used across in-store experience, real-time marketing, enhanced loyalty programs, and mobile e-commerce in retail stores, stadiums and beyond.