1、TrovaresxGT2869 Graph Analytics Revolution:Empowering Insights with Trovares AI on IBM PowerSpeaker:Erik Rottsolk1AgendaWhat is Graph?Why Trovares?Demo(ML Detection)AI Graph SolutionsUse Cases by Industry Q&A(c)Copyright 20242The Problem with Relational Databases(c)Copyright 20243Great for simple qu
2、eries“Find this person”,“How much is this item”,“Find the group of people in this area code”Etc.Struggles handling complex queries and analyzing relationships in data“Find all the people that this person knows”,”Find this specific pattern in the data”,Etc.Great for storing data long termDifficulty a
3、dding and removing data typesWhat is Graph Analytics?(c)Copyright 20244Modern way to examine dataEasier processing of large unstructured dataThe best at analyzing relationships in the data Explore the data by searching for patterns,or motifs Interactive data explorationNameAgeZip CodeFavorite ColorF
4、amily SizeBlueRedGreenPinkRedRedBlue3487541852912198101100243483710024762935291910017Suresh OdettaPaul PhaidraAlex TatianaJessica CharlesChris BetcherMichael BowesKamesh Uppal 1721412Age:Zip:FC:FS:Age:Zip:FC:FS:Age:Zip:FC:FS:Age:Zip:FC:FS:Age:Zip:FC:FS:Age:Zip:FC:FS:Age:Zip:FC:FS:What is Graph?Limit
5、ations of relational databases-Traditional table-based representation of the dataTable format limits relationships and insights from the data1000 x slower analytics than Graph for queries with 4 or more hopsMust chart the data outside of its natural form to visualize it98101Blue34Suresh Odetta1Age:Z
6、ip:FC:FS:10024Red87Paul Phaidra7Age:Zip:FC:FS:Green5434837Alex Tatiana2Age:Zip:FC:FS:Pink1810024Jessica Charles1Age:Zip:FC:FS:Red5276293Chris Betcher4Age:Zip:FC:FS:Red9152919Michael Bowes1Age:Zip:FC:FS:Blue2110017Kamesh Uppal 2Age:Zip:FC:FS:FC=Favorite Color FS=Family SizeZip=Zip CodeWhy Graph?Graph