‘The amount of savings in time and effort [the search optimization] can deliver for our home offices, for our customers, is incredible.’
--Mayank Gupta, SVP for data, LPL Financial
In this five-minute interview (conducted at GraphTour NYC 2019), Neo4j caught up with Michal and spoke with him about everything from Neo4j 4.0 to funky use cases.
Interview with Kyle McNamara, CEO, Americas at GraphAware, about how GraphAware works alongside Neo4j (conducted at GraphTour DC 2019)
The GraphAware Audit module seamlessly and transparently captures a full audit history who, when, and how a graph was modified.
Podcast Interview with Michal Bachman, GraphAware by Rik Van Bruggen.
A great part of the world’s knowledge is stored using text in natural language, but using it in an effective way is still a major challenge. Natural Language Processing (NLP) techniques provide the basis for harnessing this huge amount of data and converting it into a useful source of knowledge for further processing. By Alessandro Negro, Chief Scientist, GraphAware.
Bryce Merkl Sasaki from Neo4j chatted with Christophe Willemsen, our Senior Neo4j Consultant Christophe and Bryce spoke at GraphConnect San Francisco last October.
Real-Time Recommendations with Graphs and the Future of Search: Michal Bachman, Managing Director, GraphAware. Michal talks about how they use Neo4j in combination with Elasticsearch to power real-time recommendations.
Applying the GraphAware Framework. #GraphConnect, #Neo4j, #Michal Bachman, #GraphAware, #GraphAware Framework