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Dive into our world and find out what we have to say about technology, UX, and software development.
Unify and Conquer: Combating Cybercrime with Next-Gen AI and Analytics
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)
Use Real-time Graph Technology to Detect & Prevent Fraud
Utilizing Graph technology will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Join us to learn how to maximize time and resources with Graph technology vs. traditional relational database platforms.
Energy Demo with Neo4J
In this demo we will discuss how to create a competitive advantage through leveraging Graph Analytics and Machine Learning technology with Visualizations
Expero CoNNected Financial Crimes: Kinetica Edition
In this demo we will share our financial crimes field work examples and illustrate how complex data and analytics work together to reduce company’s financial crimes false positive detection.
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It’s Components All The Way Down
In this talk we’ll discuss patterns and anti-patterns from real-world projects including: how to split your application into components, using components in data & analytics for agility, enabling users to configure and “no-code” their own applications, and how components help to sequence a modernization program.
Pharma Supply Chain Round Table
During this webinar, we will show Supply Chain managers and planners how to utilize Graph technology to ensure organizational compliance with DSCSA.
Anti-Money Laundering With FIBO, Graph, & ML
During this webinar, we will show AML and Fraud practitioners how to use Graph and Machine Learning to ensure organizational compliance with AMLA in 2021.
Applying Graph to C360 to Increase Top Line Revenue
The focus of this webinar is to identify how Graph and Machine Learning can directly increase the accuracy and output of Customer 360 based recommendations, reduce and avoid churn, and devise 'what if' recommendations.
Increase the Effectiveness of Your Machine Learning Systems by Keeping Humans in the Analysis Loop
Increasing the accuracy of analytics technologies drives modern business, and getting more realistic results applicable to on-the-ground business operational conditions means orgs can make better decisions faster.
Improving Visibility and Collaboration in Data Science Fraud Detection Workflows
During this webinar, we’ll dive into these collaborative and organizational challenges in the context of Data Science teams working in retail fraud.
Pulsar, Musings from a DataStax and Confluent Partner
Blog #1 in a series that will highlight the aspects of Pulsar that make it an attractive prospect for your messaging and data streaming needs.
Fighting Money Laundering with Advanced Graph Analytics and AI/ML
Tune into TigerGraph and Expero's AML 'Easy' Cooking Show, where Michael Shaler and Scott Heath discuss the state of the world concerning AML, along with other topics such as TigerGraph's unique capability in supporting AML investigations and an AML toolkit demo from Expero.
Serverless ML
Serverless ML, ML on AWS Lambda, ML on Google Cloud Functions, Scalable Serverless ML, Classify your dog for less than a penny!
2021 Trends in Fraud (AML)
The focus of this webinar is to identify Machine Learning, Visualization, and Graph technology trends in 2021 that can increase the accuracy and output of systems, and how including the ‘Human in the Loop’ can get you ahead of AML legislation.
2021 Trends in Supply Chain
The focus of this webinar is to show you how new Visualizations and Graph technology trends in 2021 can increase the usability and accuracy of your supply chain.
2021 Trends In Finance Analytics
The focus of this webinar is to show you how new technology trends in 2021 can increase the usability and accuracy of your finance analytics.
Proof of Concept Software
Join us for the inaugural episode of Connecting The Dots, a podcast by Experonauts. Today we’re discussing Proof of Concept software - what it is, how to approach developing it, mistakes we made in the process, and lessons learned over our years of experience in consulting. Have questions or thoughts about what we discussed today? Contact us at podcast@experoinc.com or on Twitter @experoinc
Airlines, Logistics, & Transport Optimization Toolkit
Take a look into Expero's Network Analytics Toolkit which optimizes core elements in airlines, logistics, or transport through filtering and advanced visualizations of key performance indicators capable of running 'What If' scenarios.
Financial Services Toolkit: Dashboard Demo
Delve into the dashboard capabilities of Expero's Financial Services Toolkit, used for portfolio analysis and recommendation, compliance information, and team sharing workflows.
Financial Services Toolkit: Portfolio Demo
Take a deeper look into how Expero's Financial Services Toolkit widgets are built, including: balancing through trade, running 'The Art of the Possible' scenarios, and compliance interactions with Jupyter Notebook.
Fraud Toolkit in Medical Healthcare Claims
Get a quick look into the Fraud Toolkit from Expero with this demonstration investigating healthcare claims with machine learning, graph technology, and time series structures. Explore crucial features such as interactive dashboards, the ability to view flagged individuals, visualized connections to risky behavior, and more.
Network Analytics Toolkit
Explore Expero's Network Analytics Toolkit with this demonstration of Telco networks visualizing IoT connections in real time, along with the ability to forecast complex dependent networks.
Solving Supply Chain Use Cases With Confluent, ML & Visualization
The focus of this webinar is to identify how Machine Learning, Visualizations, and streaming technology can directly increase the accuracy and output of systems to drive revenue, cut costs, and include 'Human in the Loop.’ During this online meetup, you'll learn from our Confluent & Expero experts how to unlock the potential in your organization.
Supply Chain ML, Visualization & TigerGraph RoundTable
The focus of this webinar is to identify how Machine Learning, Visualizations, and Graph technology can directly increase the accuracy and output of systems to drive revenue and cut costs and include 'Human in the Loop.'
Detecting Fraud with Streaming Data with Imply
The focus of this webinar is to identify how the Imply Technology in conjunction with Machine Learning, Visualization and new technology can directly increase the accuracy and output of systems and how including the ‘Human in the Loop’ can get you ahead of fraud.
Improving Stakeholder Value by Mitigating Insurance Losses through Analytics & Machine Learning with Tarleton Analytics Institute
The focus of this webinar is to identify how technological advances can directly increase the accuracy and shorten process time for ‘Human in the Loop.'
Improving ML Accuracy & Trust with Humans in the Loop
Lynn Pausic, cofounder of Expero, discusses five ways to use 'humans-in-the-loop' to improve machine learning accuracy & increase trust during the online CTO Summit on data science.
Applying Notebook Analysis in Your Trading Applications
The key learning topics of this webinar include: common scenarios where data science techniques are being used in trading situations, how lack of engineering rigor or audit controls may affect the results in these situations, and how the common data science notebook paradigm can be embedded in not just in your environment - but in your applications to apply that rigor.
Insurance Claims Roundtable With TigerGraph
The focus of this webinar is to identify how Machine Learning, Visualization and new technology like Graph can directly increase the accuracy and shorten process time for ‘Human in the Loop’.
Retail Fraud Round Table with TigerGraph
The focus of this webinar is to identify how Machine Learning, Visualization and new technology can directly increase the accuracy and output of systems and how including the ‘Human in the Loop’ can get you ahead of fraud.
Designing & Building a Real-World Trading Platform with OpenFin
This webinar offers a closer look at OpenDoor and how it works for its users, and insight as to how the product was made, usability, product, and software challenges that brought it to life as presented by Expero and OpenFin.
Customer 360 Round Table with Scylla
The focus of this webinar is to identify how high performance NoSQL, Graph and Machine Learning can directly increase the accuracy and drive revenue for Customer 360 applications. Additionally, you'll learn from our experts on how Expero and Scylla technology can unlock the potential in your organization.
JanusGraph User Group Meet Up
The focus of this webinar is to discuss advanced topics and offer an open Q&A session with JanusGraph users and contributors.
UX Design for Modern Financial Services Applications
The focus of this webinar is to share some of the important design and technology factors that enable you to build successful front- and middle-office applications.
TigerGraph UI ToolKits Financial Crimes
Learn more about how Expero partners with TigerGraph in TigerGraph Toolkits for Financial Crimes, increased visibility & optimization with ER/MD demos, C360 applications, use cases involving the Financial Services industry, and more.
TigerGraph UI ToolKits
Learn more about how Expero partners with TigerGraph in TigerGraph Toolkits, increased visibility & optimization with demo applications, use cases, and more.
Supply Chain Planning With Active Scenario Modeling
With disruption as the new normal, plans need to constantly realign and adapt. Managing flow across multiple tiers of suppliers is difficult under normal circumstances, but with changing lead times and supplier disruption, there is an increasing need to improve supply visibility. This webinar discusses strategies to map flows and improve plan feasibility and reliability for Supply Chain planners around the globe.
Productizing Data Science in Commercial Products
The topics discussed in this webinar include: the organizational and technological implementations needed to achieve a successful deployment, turning data science investment to increased value for users and profit for the business.
Transportation & Logistics with Graph & ML Round Table
The key use cases to be illustrated in this webinar are: payload and route optimization, asset and driver optimization, warehouse location, multi-mode transportation options, higher more profitable miles, lower driver turnover, increased safety, demand and capacity planning, and the ability to 'What If' all parts of the logistics process in real time.
Fraud Detection and Prevention in Healthcare Claims
Fraud and loss affect healthcare payers and providers at a staggering amount each year. This also includes all areas of the business from underwriting to the investigations of claims and payments. In addition, fraud and loss is time consuming to investigate and fraudsters become more sophisticated and utilize more complex methods and technology that make it even harder to detect. The sophistication and pressure from world health events has driven the need for real-time analytics and prevent and intervene strategies.
OpenFin & Expero present: Real World Platform & UX Design for the Modern Financial Desktop
Real World Platform & UX Design for the Modern Financial Desktop
Entity Resolution, Customer 360, & Recommendations Round Table with TigerGraph
The focus of this webinar is to identify how Graph and Machine Learning can directly increase the accuracy and output of Entity Resolution and associated Customer 360 & Recommendations.
Optimize Supply Chains Using Machine Learning Superpowers
Supply chain superheroes manage disruption and manufacture products cheaper and faster. This crisis has shown us all how fragile the global supply chain actually is and why we need these superheroes more than ever before.
Financial Crimes Investigation Workbench
Demonstration of Expero workbench for detecting and investigating fraudulent activity such as AML, credit card transactions and internal threats.
Capacity Planning - Predictive Capability in Supply Chain
How capacity modeling can offer the best protection against erratic market demand
DataStax Astra Demo
Explore building and connecting applications in Astra Cloud that connect to Cassandra via a sample traditional supply chain application demo that visualizes supply, demand, risk, and more.
Complex Manufacturing Round Table with TigerGraph
Complex Manufacturing & Supply Chain Round Table with TirgerGraph
Financial Services Round Table with Graph and Machine Learning
Financial Services Round Table with TigerGraph
Astra First Impressions - Porting an Existing Application
Fist impressions of Astra, the new DBaaS from DataStax.
Data Products: What Product Managers Need to Know about Productizing Data Science
Data Products: What Product Managers Need to Know about Productizing Data Science
Fraud Detection Round Table with TigerGraph
Learn about fighting fraud with Graph and Machine Learning Experts
Metaflow: Rapid Reaction
Netflix open-sourced Metaflow for performing data science and machine learning on cloud providers such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud (GCP) - although optimized for AWS. What features does it provide?
Moving Beyond Node Views
Getting your graph to scale is only half the battle. Learn here how Expero helps businesses understand their data and make real time decisions using custom visualizations and UX.
Hey TigerGraph! Your 2020 Forward Looking Thoughts Are Already Here!
Advances in automation of data analysis, graph analytics, data lineage, conversational queries and IoT analytics are widely predicted for 2020. Expero has capabilities and assets already in place.
Inversion of 2D Remote Sensing Data to 3D Volumetric Models Using Deep Dimensionality Exchange
Deep dimensionality exchange is a new deep learning protocol developed at Expero for performing domain transfer between domains of different dimensions.
Chatting with Data: Interrogative UIs for Exploratory Data Analytics
Natural language processing is a powerful tool in building investigatory user interfaces for data exploration. See how conversation UI can be used to interrogate highly connected data to produce context driven data visualization and analytics.
Software Craftsmanship in Context
Learn how Software Craftsmanship powers up Agile methods to move fast in complex projects.
The Technology Behind Data Products
Technology for deploying scalable machine learning-based products otherwise known as data products.
Enterprise Security System In Real-Time Using TigerGraph & Kafka Streams
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.
Deploying Data Products
Building data products in your organization to realize data science ROI and never before seen data insights.
S&OP 5 Step Process + Toolkit
Revolutionize your sales and operations planning. Find what matters in your data, align stakeholders, explore issues and proactively what-if alternatives.
Implementing Data Products
Data products are productized versions of data science and machine learning initiatives that deliver value to end-users.
Streaming Data with Confluent in Financial Services
Utilizing real time optimization with an event streaming platform.
Synchronizing RBAC to TigerGraph using Confluent/Kafka
With Confluent and TigerGraph quickly emerging as high-quality enterprise software, learn how you can take your LDAP data, RBACs, and ACLs and quickly model and mirror them in a graph database using Kafka, a real-time streaming software.
Improve Supply Chain Performance Using a Native Parallel Graph
A native parallel graph enables manufacturers to identify and manage product delays, shipment status, and other quality control and risk issues, at massive scale in real-time.
Black Friday Loss Leaders in Machine Learning
Use Machine Learning to increase volume, maintain profits and meet the needs of customers while maintaining a simple business policy.
Company for a Cup of Joe: Finding Your Tribe
Given a large batch of healthcare data, we efficiently find similar patients to determine what remedies to recommend using traditional search methods and graph algorithms.
Testing React Applications Using Jest and React Testing Library
Learn how to avoid bugs and gain confidence when refactoring code by writing tests for your React code using Jest, React Testing Library and a Test Driven Development approach.
Fleet Management & Scheduling
Join us for this quick deep dive on how machine learning and analytics can be used to get insights into your data & scheduling/managing fleets.
Why You Should Give Svelte a Try
What makes Svelte a different UI framework and why you should give it a try. In this article you will learn the benefits of using Svelte, the new (and different) UI framework, as opposed to others like React, and Vue.
Road Risk and Driver Safety Using IoT Data with Moove.ai
Predict, identify, and intervene using graph technology and Moove.ai Machine Learning Analytics.
Road Risk & Driver Safety Using IoT Data with Moove.ai
See how compiled data sources allow for real-time mapping of road safety and current conditions.
Visualize Supply Chain Planning
Supply chain planning demo showing real-time visibility into demand and capacity planning.
Visualize Supply Chain Planning II
Supply Chain planning and analytics dashboard showing risk visibility, real-time data and time series.
Supply Chain Planning with Graph
Understand the differences between supply chain visibility, traceability, and transparency.
Customer 360 in Financial Services
Customer 360 in financial services showing segmentation and churn avoidance, sentiment score, and best next conversation.
Supply Chain Solutions using Kafka + ML
Automating multifaceted, complex workflows requires hybrid solutions like streaming analytics of IoT data, batch analytics like machine learning solutions, and real-time visualizations.
Speed Dating with Cassandra
15 Minute Lightning Talks + Q&A. Powerful Data, Storage & Search & Graph Technology in 1 platform - Cassandra.
The Three Paradigms of GraphML
Graph machine learning (graphML) is a subset of deep learning with much higher accuracy because big data records are linked together by their relationships.
Globalization: Internationalization Enables Localization
Globalization (G11n) of an application involves more than just translating text. Internationalization (I18n) is the process of enabling your application to be used in different languages and culture. Localization (L10n) covers the work to provide the application in one specific language and culture. Selected locales can help in providing translated text, but some information needs to be converted (times, dates, currencies).
Fraud Detection Using ML & Graph
Learn how Graph Technology can help to identify risk and fraud patterns in order to quickly respond to threats and anomalies. Many new fraud rings use sophisticated measures for credit card and other methods of fraud. Utilizing Graph and ML will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Join us to learn how to maximize time and resources with Graph vs. traditional relational database platforms. Predict, Identify, and Intervene Fraud with Graph & ML Analytics.
Portfolio Optimization for Alternative Investments
This demo explores Portfolio Optimization for Alternative Investments
Automated Narrative Summary
#NLP #MachineLearning #algorithm learns to tell #stories by summarizing #commercial #RealEstate #data, #earning #profits and spurring #CustomerRetention. #BINGO!
Architecting a Corporate Compliance Platform with Graph and NoSQL Databases
Join Scylla and Expero to learn how to use JanusGraph and Scylla to architect a corporate compliance platform.
Searching with Multi-language Support
When localizing an application, treat the capabilities as features. Consider the specific use cases and work with the users to refine the approach. There may be design and layout adjustments needed per language. If the application is a CMS, content as well as application resources may need translations.
Testing React Applications Using Jest and React Testing Library
Learn how to avoid bugs and gain confidence when refactoring code by writing tests for your React code using Jest, React Testing Library and a Test Driven Development approach.
Unleash the Beast with TigerGraph: Intro to GSQL
See why accumulators help TigerGraph’s GSQL query language standout among other native Graph Databases.
Customer 360 Using Graph + ML
Learn how Graph & Machine Learning Technology will increase customer loyalty, identify and resolve customer issues and provide strategic up-selling capabilities. Expero will demonstrate how visualizing customer journeys can provide your users with meaningful interactions and increase overall customer satisfaction. Join us to learn how to maximize resources with Graph and finally get an all encompassing view of your customer.
Reinforcement Learning in Supply Chain Logistics: Bush Pilots at Scale
Reinforcement Learning at scale; Scheduling thousands of vehicles in multiple environments - how we made it work.
Supply Chain: Transportation and Logistics
Cut Costs & Optimize Revenue with Supply Chain Technology.
Next Generation Authorization and Entitlements Services
This can be like the one sentence description, but the more buzzwords the better. This is what google will pull from when people search.
Serverless Authentication with AWS Lambda@Edge & Auth0
Learn how to protect your resources by setting up serverless OAuth authentication with Auth0 and AWS Lambda@Edge.
How to Please Your CFO: Load Test with Gatling for Your Budgeting and Planning
Cassandra, DataStax, ScyllaDB, CosmosDB, RedShift - they all scale horizontally and with you will pay more as you add nodes - even if the SW is free, the compute time is not. Use Gatling to forecast your budget needs so you don’t surprise your CFO.
Patient 360 + Opioid Fraud Detection Using Machine Learning and TigerGraph
Watch our online seminar to learn how to unlock patient 360 & prevent opioid fraud with graph & ML technology. We discuss how graph-based Patient 360 breaks silos and enables analytics to discover more efficient operations, better healthcare outcomes, and fraud detection.
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