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Learn how financial institutions are adopting AI with practical frameworks, real-world use cases, and implementation strategies from Expero and Corporate Insight.

This session builds upon the previous webinar's exploration of digital transformation in wealth management. It delves into the convergence of wealth/asset management with banking, insurance, and planning, focusing on hybrid digital solutions and emerging technologies. Topics include integrating traditional and digital practices, scaling advisor impact (fractional investing, platform services), streamlining operations, the future of financial planning (AI), and meeting evolving client expectations. Provides a roadmap for implementing digital strategies and capitalizing on emerging trends.

Roundtable: Digital Wealth Management Trends with Forward Thinkers

Discover how outdated screeners are hindering investment decisions. Learn about the essential features and accessibility standards needed for a modern, effective screener. Explore Expero's innovative approach and partnership with Morningstar.

Discover how to streamline your KYC onboarding process, enhance risk assessment, and bolster your organization's anti-financial crime defenses using AI, ML, and GenAI. Learn practical strategies for integrating these technologies with your existing case management systems, unlocking new efficiencies, and mitigating risks.

Harness the power of GenAI for hyper-personalized finance! Learn UX strategies to build trust, improve usability, and navigate AI vs human expertise.

This webinar explores how to design intuitive interfaces for domain experts using complex data, combining design thinking, data analysis, and AI to create valuable, data-driven products.

Join our webinar to explore how ML & AI technology is transforming AML compliance for Tier 2 banks. Learn how to stop fraud, slash false positives, and create a more efficient fraud prevention strategy.

Don't miss out on this exclusive opportunity to explore cutting-edge technology but also grab some cool swag items at Morningstar Investor Conference 2024

Explore how generative AI agents and AI-driven workflows boost productivity in financial services, from automation to intelligent decision-making.

Traditional cybercrime detection methods are failing. This webinar explores how AI and next-gen analytics can unify teams and empower investigations for real-time threat prevention. Join us to learn about how GenAI, Machine Learning, and advanced visualizations can combat Cybercrime. (Free - May 16th)

Modernize finance desktops in wealth management, capital markets and compliance with FDC3 and OpenFin

Fight insurance fraud with GenAI and Graph

Increase accuracy and lower false positives in Financial Crimes. Register to learn how AI & automation can sharpen your investigations.

Our webinar initiates with a comprehensive overview of the current state of wealth and WealthTech, followed by an in-depth exploration of critical topics aimed at optimizing the efficiency and effectiveness of wealth advisors and self-directed investors, along with the tools at their disposal.

Join our upcoming webinar as we delve into the evolving landscape of anti-money laundering (AML), cyber, and fraud in the wake of impending changes set for 2024.

In this webinar we will explore these emerging enterprise capabilities - explaining where and how they will be deployed to best effect? Should firms be looking to build their own large language models - some like Bloomberg have done just this.

The focus of this webinar is to identify areas in which Graph DB and Graph Machine Learning, Geospatial, TimeSeries, AI/ML/LLM, Visualization, and Graph technology can increase the accuracy of claim fraud identification by over 45%, and to show how including the ‘Human in the Loop’ can get you ahead of your state’s fraud prevention legislation.

The Anti-Money Laundering (AML), Cyber, Trade Surveillance, and Fraud landscape in 2023 will face a significant change in operations due to a perfect storm of events: new US Government regulations, world conflicts accelerating movement and hiding of money, and technological advances, including LLM/ML and spatial analytics.

The convergence of workflow optimization and the financial desktop has become a driving force in shaping the future of financial operations. Join us for a discussion on the technology and business model developments that are shaping the industry.

During this webinar, we see how the Expero platform can harness the power of ML, real-time IoT, and Graph technology driven by easy to utilize visualizations in order to tackle these complex and powerful use cases.

Explore how OpenFin and Expero modernize financial desktops with interoperable components, shared canvases, and accelerated capital markets workflows.

Panel discussion on 2023 financial crimes trends covering transaction monitoring, sanctions screening, cryptocurrency risks, and AI-powered compliance.

See how Expero CONNECTED Trade Surveillance platform detects market manipulation, insider trading, and compliance violations with graph analytics and ML.

Explore the art of building front-end applications for capital markets including modernizing workflows for traders, bankers, and finance analysts.

Explore 2023 supply chain technology trends covering visibility, bottleneck detection, capacity planning, and how graph and ML optimize manufacturing.

Explore 2023 energy and utilities technology trends covering distributed energy resources, IoT, AI-driven grid management, and smart infrastructure.

Learn how Customer 360 software solutions drive revenue through entity resolution, cross-sell optimization, and churn prevention using graph and ML.

Panel discussion on 2023 wealth management trends covering regulation, digitization, new asset classes, ESG investing, and emerging technology solutions.

Explore 2023 fraud and AML trends covering beneficial ownership changes, sanctions screening, crypto risks, and how AI and graph improve compliance.

See how Expero CONNECTED Financial Crimes platform fights AML, fraud, and cyber attacks with graph analytics, ML, and advanced investigation workflows.

Learn how Expero Product Factory accelerates software product development with repeatable playbooks for new products, modernization, and cloud migration.

Roundtable on utilities and energy challenges in 2022 covering electrical grid management, IoT networks, renewable energy, and Neo4j graph solutions.

Join Expero at Data Day Texas in Austin, one of the premier data and analytics conferences featuring the latest tools, techniques, and projects.

Learn how graph and ML technology fight retail fraud including credit card fraud, buy-now-pay-later abuse, loyalty fraud, and synthetic identity schemes.

Explore how graph and ML-powered fraud detection solutions fight sophisticated cyber crime including ransomware, malware-based attacks, and connected fraud.

Part two in the financial desktop series exploring trading desktop evolution, faster decision-making, and more accurate risk and analytics insights.

Discover how ML and graph analytics cut insurance fraud investigation costs, reduce false positives, and improve early detection across P&C and auto claims.

Explore the fundamental transformation of the financial desktop driven by data overload, provider consolidation, and new interoperability standards.

Explore 2022 pharma supply chain solutions covering DSCSA compliance, drug serialization, traceability, and leveraging graph and ML for logistics.

Learn how Neo4j graph technology enables pharmaceutical serialization and traceability to meet DSCSA compliance and improve supply chain visibility.

Explore 2022 fraud and AML trends covering the Anti-Money Laundering Act, remote work security risks, and how graph and ML improve detection accuracy.

Learn how ML and graph technology help insurance sales teams acquire, retain, and know customers through Customer 360, upsell, and fraud detection solutions.

Discover how design-first approaches and component-based architecture accelerate financial services modernization across capital markets and compliance.

Explore how graph and ML technology fight sophisticated cyber crime and fraud including Carbanak-style attacks, malware-based theft, and phishing schemes.

Exact Sciences and Expero discuss how TigerGraph and ML revolutionize KYC and Doctor 360 analytics to increase revenue in life sciences and pharma.

Join the JanusGraph User Group for technical discussions on open-source graph database deployment, optimization, and real-world use cases.

JanusGraph User Group meetup focused on OLAP workloads, Apache TinkerPop SparkGraphComputer performance, and novel graph processing approaches.

Learn how AML-based technology and graph analytics help fight stock trade fraud, meet SEC compliance guidelines, and detect suspicious trading patterns.

Roundtable on food and beverage supply chain challenges including FDA FSMA compliance, tech-enabled traceability, and smarter food safety approaches.

Discover how ML and graph analytics unlock portfolio optimization and SEC compliance opportunities for modern portfolio management platforms.

Navigate graph database product selection with guidance on organizational readiness, product differentiation, benchmarking, and use case evaluation.

Explore 2021 insurance fraud prevention trends covering P&C, auto, and business insurance fraud detection using ML, graph analytics, and visualization.

Explore patterns and anti-patterns for modernizing finance desktops with OpenFin components, from UX concepts to real-world production implementations.

Roundtable on pharmaceutical supply chain challenges including DSCSA compliance, serialization, traceability, and leveraging graph and ML technology.

Explore how FIBO ontology, graph databases, and ML transform AML compliance with better entity resolution, risk scoring, and suspicious activity detection.

Learn how graph, ML, and visualization drive Customer 360 initiatives to increase revenue through entity resolution, recommendations, and churn prevention.

Learn how to improve data science team collaboration, traceability, and version control using Jupyter Notebooks and effective ML pipeline management.

Explore 2021 AML trends including the Anti-Money Laundering Act of 2020, compliance changes, and how graph and ML technology fight financial crimes.

Panel discussion on 2021 supply chain trends covering geopolitics, economic stimulus, visibility improvements, and data-driven chain of custody tracking.

Panel discussion on 2021 finance analytics trends covering data supply chains, ML acceleration, finance desktop evolution, and remote work impacts.

Learn how Confluent streaming, ML, and graph visualization solve supply chain challenges including real-time planning and predictive analytics.

Discover how TigerGraph, ML, and visualization solve supply chain challenges including demand planning, traceability, and predictive analytics.

The focus of this webinar is to identify what the status quo in current fraud detection approaches, how MIDAS and streaming techniques can improve results, and the use of Visualization for MIDAS Inspection while learning how Imply’s Druid-based offering can be applied for a MIDAS implementation.

The focus of this webinar is to identify how these technological advances can directly increase the accuracy while decreasing the process time for ‘Human in the Loop’ resulting in more claims processed and more money saved.

Roundtable on fighting insurance claims fraud using TigerGraph graph analytics and machine learning to improve detection accuracy.

Learn how notebook integration in trading applications improves data science workflows, audit controls, and real-time decision-making on trading desks.

Explore how graph and ML detect retail fraud including credit card fraud, loyalty fraud, and synthetic identity theft with TigerGraph and Expero.

Roundtable exploring how ScyllaDB powers customer 360 solutions with high-throughput, low-latency data for unified customer views.

Explore how ScyllaDB enables high-performance customer 360 platforms with real-time data integration and low-latency analytics.

Explore best practices for UX design in modern financial services applications, from trading desktops to wealth management platforms.

Learn how active scenario modeling and advanced analytics help organizations plan for supply chain disruptions and optimize operations.

Explore strategies for monetizing data science capabilities in commercial products, from ML model deployment to data product lifecycle management.

Roundtable on applying graph databases and machine learning to transportation and logistics challenges including route optimization and visibility.

Roundtable on combating healthcare claims fraud with graph analytics, ML, and advanced detection techniques to reduce false positives.

Roundtable exploring advanced fraud detection and prevention strategies for financial services using graph analytics and machine learning.

Strategies for maintaining supply chain resilience and operational success despite unpredictable resource availability and market volatility.

Learn how UI patterns for collecting user feedback improve machine learning outcomes through co-learning and human-in-the-loop techniques.

Roundtable on using TigerGraph for entity resolution, customer 360 views, and AI-powered recommendation engines to drive revenue growth.

Explore entity resolution, customer 360 analytics, and intelligent recommendations powered by TigerGraph and machine learning.

Graph Product Selection

Data Products Strategy and Implementation

Healthcare Solutions using Graph and Kafka

Healthcare Solutions using Graph and Kafka

How Capacity Modeling Can Offer the Best Protection Against Erratic Market Demand

Use Graph and Machine Learning in Financial Services

Discover how graph databases and machine learning solve complex manufacturing supply chain challenges in healthcare equipment and services.

Join Expero for the Global Graph Celebration, exploring the latest innovations and real-world applications of graph database technology.

UK-focused roundtable on leveraging TigerGraph graph analytics for energy and utilities challenges including grid management and efficiency.

Roundtable discussion on applying graph analytics and TigerGraph solutions to energy sector challenges including grid optimization and asset management.

Use Graph and Machine Learning to identify risk and fraud patterns

Use Graph and Machine Learning to identify risk and fraud patterns

Technology for deploying scalable machine learning-based products otherwise known as data products.

Build a single view of your corporate security model using new capabilities in graph and streaming technology through which you can funnel all your access attempts to critical data.

A discussion on building data products in your organization to realize data science ROI

Revolutionize your sales and operations planning. Find what matters in your data, align stakeholders, explore issues and proactively what-if alternatives.

Join us as we partner with Confluent to bring you real world approaches for cutting cost, driving revenue & optimizing process.