Fraudulent activities tend to increase when crises or other factors destabilize the world. These activities usually affect financial services institutions the most, although other industries are targeted.Machine learning and artificial intelligence have long been considered potential answers for organizations trying to more effectively detect and prevent fraud. During this episode, Sebastian Aldeco, Director, Financial Services Industry Solutions at TigerGraph, shares his perspectives on how AI and machine learning are being used for fraud detection and what the future has in store for these technologies backed by graph databases and analytics.
Pinboard Consulting is a TigerGraph Partner dedicated to helping its clients achieve their goals within the world of graph data. Max Latey, the CEO and Founder of Pinboard Consulting, talks about his company's work, along with its award-winning efforts during the Graph for All Million Dollar Challenge earlier this year and completing his Master's dissertation in human social behavior, heavily featuring graph theory and techniques.
TigerGraph Cloud is the industry's first and only distributed native graph database-as-a-service. In July 2022, we released the latest version of the product. This release introduced new features, including enhanced collaboration, an updated user interface, role-based access control, and new user authentication options.In this episode, Kiran Kamreddy, Director of Product Management at TigerGraph, joins the show to talk about the latest TigerGraph Cloud release, the future vision for the product, and why companies are increasingly turning to cloud solutions.For more information about TigerGraph Cloud or to create an account today, visit tgcloud.io.
TigerGraph's Machine Learning Workbench is a Jupyter-based Python development framework that gives data scientists the ability to build powerful deep-learning AI models and explore Graph Neural Networks quickly and easily.In this episode, Victor Lee, VP of Machine Learning and AI at TigerGraph, talks about the efforts to bring the Machine Learning Workbench to market. He also provides answers to the most popular questions he hears, "Why graph?" and "Why TigerGraph?" as well as some insight into the work being done to create a standard graph query language.Learn more about TigerGraph's Machine Learning Workbench.
Financial institutions saw fraud rise 30% just during the COVID-19 pandemic, according to Harry Powell, Head of Industry Solutions at TigerGraph. Harry and Martin Darling, Vice President, EMEA at TigerGraph, are the guests for this podcast. They share their perspectives on fraud and fraud detection at financial organizations, the benefits of adding graph technology to existing fraud detection efforts, and even how machine learning can help move from detection to prediction.Learn more about fraud detection using TigerGraph.
"See it from the customer's point of view" sits atop TigerGraph's core company values. In our VP of Customer Success, Tish Looper's, first year with the company, she's been dedicated to building a customer success program and team driven by that value.In this episode, Tish talks about the team's progress in her first year, vision for the future, and the launch of the TigerGraph Elements Workshop series, a set of expert-led sessions designed to educate our customers more deeply about the possibilities and power of graph analytics and technology.Learn more about the TigerGraph Elements Workshops.
Graph + AI Summit Spring 2022, being held virtually May 24-25, 2022, is focused on accelerating analytics, AI, and machine learning projects with graph algorithms. This open industry conference covers the many uses of graph database technology, ranging from thought leadership about artificial intelligence and machine learning to practical, hands-on workshops and labs to solve specific real-world problems.In this episode, TigerGraph COO, Todd Blaschka, discusses the history of the conference, the importance of its open format, and highlights from the upcoming conference's agenda.For more information about Graph + AI Summit, visit https://www.tigergraph.com/graphaisummit/.
The Graph for All Million Dollar Challenge, running through April 20, 2022, provides contestants an opportunity to uncover transformative solutions to a challenge of their choosing using TigerGraph. Contestants are competing for a piece of the $1 million prize pool. Winners will be announced at the virtual Graph + AI Summit on May 24, 2022.In this episode, Navira Abbasi, Manager of Community Strategic Growth at TigerGraph and one of the driving forces behind the Million Dollar Challenge, talks about the process of making the contest happen, why it was important to create an open contest, and the criteria contestants will be judged on.For information about the Graph for All Million Dollar Challenge, visit www.tigergraph.com/graph-for-all/.For information about Graph + AI Summit, visit www.tigergraph.com/graphaisummit/.
TigerGraph Connections episodes will feature interviews with guests from TigerGraph, our partners, customers, and industry experts to help educate listeners about graph technology, happenings around the company, and real-world uses for the software. In this introductory episode, host Corey Tomlinson provides a brief glimpse into the creation of the podcast and its mission.