Jim Webber & Ian Robinson Picture

Jim Webber & Ian Robinson

About Jim Webber & Ian Robinson, Chief Scientist & Senior Engineer

Jim Webber is Chief Scientist at Neo Technology working on next-generation solutions for massively scaling graph data. Prior to joining Neo Technology, Jim was a Professional Services Director with ThoughtWorks where he worked on large-scale computing systems in finance and telecoms. Jim has a Ph.D. in Computing Science from the Newcastle University, UK.

Ian Robinson is an Senior Engineer at Neo Technology. He is a co-author of ‘REST in Practice’ (O’Reilly) and a contributor to the forthcoming books ‘REST: From Research to Practice’ (Springer) and ‘Service Design Patterns’ (Addison-Wesley). He presents at conferences worldwide on the big Web graph of REST, and the awesome graph capabilities of Neo4j.


Latest Posts by Jim Webber & Ian Robinson

The Competitive Advantage of Graph Databases in the Enterprise

“Big data” grows bigger every year, but today’s enterprise leaders don’t only need to manage larger volumes of data – they critically need to generate insight from their existing data. So how should CIOs and CTOs generate those insights? To… Read more →

Graph Databases in the Enterprise: Graph-Based Search

Graph-based search is a new approach to data and digital asset management originally pioneered by Facebook and Google. Search powered by a graph database delivers relevant information that you may not have specifically asked for – offering a more proactive… Read more →

Graph Databases in the Enterprise: Identity & Access Management

Identity and access management (IAM) solutions store information about parties (e.g., administrators, business units, end-users) and resources (e.g., files, shares, network devices, products, agreements), along with the rules governing access to those resources. Identity management solutions then apply these rules… Read more →

Graph Databases in the Enterprise: Network & IT Operations

Graph databases are, therefore, an excellent fit for modeling, storing and querying network and IT operational data no matter which side of the firewall your business is on – whether it’s a communications network or a data center.

Graph Databases in the Enterprise: Master Data Management

Master data is the lifeblood of your enterprise. The umbrella of “master data” includes vital data such as: Users Customers Products Accounts Partners Sites Business units Many business applications use master data and it’s often held in many different places,… Read more →

Graph Databases in the Enterprise: Real-Time Recommendation Engines

Whether your enterprise operates in the retail, social, services or media sector, offering your users highly targeted, real-time recommendations is essential to maximizing customer value and staying competitive. Unlike other business data, recommendations must be inductive and contextual in order… Read more →

Graph Databases in the Enterprise: Fraud Detection

Banks and insurance companies lose billions of dollars every year to fraud. Traditional methods of fraud detection fail to minimize these losses since they perform discrete analyses that are susceptible to false positives (and false negatives). Knowing this, increasingly sophisticated… Read more →

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