Organizations are faced with an ever-growing number of challenges in bringing products and services to market, and each challenge, like the supply chain, comes with its complexities. Supply chain leaders today are armed with data and expected to intelligently anticipate and mitigate these challenges faster than ever. These expectations are pushing the limits of their data and analytics capabilities, forcing them to seek more agile and transparent solutions. Discover how essential Neo4j’s graph technology is to optimize the flow of goods, uncover vulnerabilities, boost overall supply chain resilience, and power Process Tempo’s Supply Chain Control Towers. You'll learn: - How knowledge graphs and graph data science analytics are essential for a robust and flexible supply chain - How various global companies are using graph technology, from product 360˚ to predictive maintenance, for “what-if” analyses for their supply chains - How to manage multiple supply chain perspectives and operations from a centralized location - How to capture and use real-time operational data from across the business ecosystem to provide enhanced visibility and improve decision making across the supply chain - How to bring together your data, people, processes, and technologies in one place to provide executive-level oversight and analysis of everything that drives success for your organization

Cloud migrations are complex and challenging projects. Traditional approaches often fail, losing time, money, and resources. Neo4j, the creator and leader of the graph database category, and Process Tempo have come together to make cloud migration faster, easier, and more cost-effective than ever. Learn how the combined power of our technologies helps you plan, execute, monitor, and optimize your migration project – all while avoiding common pitfalls – to help ensure a smooth migration from beginning to end. Discover: - What the most common pitfalls of cloud migration are and how to avoid them - What the essential requirements and best practices for a successful migration are - How graph analytics can improve and accelerate the critical stages of your migration

Poorly designed APIs have been behind a number of recent, high-profile data breaches which is why API security is now such a hot topic. With access to an API, a hacker can access extremely sensitive information which can put organizations at significant risk. Gartner and others indicate that APIs are now the number one attack surface for hackers and with the number of APIs expected to grow, organizations must implement new strategies to ensure these APIs are designed correctly. Learn: - Why API security tools alone are not a fool-proof solution - Which improvements are necessary to address the root causes of API risk - How graph technology, graph analytics, and Neo4j Graph Data Science can play a significant role in API design and deployment - How to connect your API landscape into a single, unified view that can support the needs of each stakeholder in the API lifecycle