Name: AI's Impact on Financial Service & Insurance - The Good, The Bad & The Ugly
Start: 2020-01-23T11:00:00Z
End: 2020-01-23T11:59:00.000Z
Location: BrightTALK

Intuitive data visualizations and predictive analytics, reporting and dashboards embedded within key applications, and streaming analytics combining real-time connectivity with analytical insights. TIBCO supplies all the analytics technologies needed for all digital business initiatives.

A major transformation is taking place in manufacturing. New capabilities for processing streaming sensor data—along with big data, machine learning, and edge technologies—are driving the industry from reactive problem-solving towards increasingly proactive management of equipment, processes, products, and factories. It is now becoming possible to aggregate, analyze, and rapidly act on vast quantities of data being generated. 

In this webinar, discover how we are enabling customers with solutions such as predictive maintenance, automated pattern classification, anomaly detection, and product and process digital twins.

Digital Transformation of Manufacturing: From Reactive to Proactive Management

Connected Intelligence in Financial Services - Action plans for creating competitive advantage through data

Banks and insurance companies are betting big on artificial intelligence and machine learning to give them the technological edge for more real-time, personalized, predictive services. A framework will help differentiate early winners and provide them with sustained advantages.

Watch this webinar with guest speaker from IDC Financial Insights Associate VP Michael Araneta, and TIBCO Software Digital Transformation thought leader David Rosen. 

They have an inspiring conversation on what it takes to be disruptive in today’s challenging, competitive, and highly regulated financial services market.

What you will learn:

- Trends that reveal FSI company readiness for connected intelligence
- Pitfalls to avoid & ways to bridge the gaps
- AI & ML building blocks for personal, real-time, and predictive services
- Essential guidance from IDC and 2020 predictions

Connected Intelligence in Financial Services

Based on McKinseys Navigating a World of Disruption 2019 report, the industries that stand to gain the mostvalue from AI are Travel, Transport and Logistics. 

With digital transformation, there's a polarisation of outcomes: winners win more, losers lose more. 

To win, we need to grasp the advantages of digital before your competitors do, and nowhere is this more true than in transport and logistics. Within these industries, vehicle route optimization is recognised as significant business opportunity. But what does it take to implement and stay ahead of the competition? 

This short webinar will show you how TIBCO’s Connected Intelligence Cloud provides the tools needed to make your vehicle route optimization journey a success.

Drive costs down with Vehicle Route Optimization

Combining and preparing data is a prerequisite for any reporting and analytics project. There are two leading approaches for this process: Extract, transform, and load (ETL) and data virtualization. Use ETL when you want to physically move data from multiple data sources into a single data warehouse. Use data virtualization when you want data to remain in data sources and specify the rows or files to be used for analytics on-the-fly.
Join us to learn the foundational concepts and considerations for these two approaches, and to identify the right path for your reporting or analytics project.

In this webinar, you will learn:
-The differences and use cases for traditional data integration vs data virtualization
-How and why you would want to virtualize multiple data sources
-How to make your data sources user-friendly to support self-service reporting

Back to Basics: Data Integration and Virtualization

Interactive data visualisations and reports are common components of modern web applications. There are several approaches that developers use to visualise data in an applicaton’s user interface, ranging from hand-written JavaScript based on charting libraries like D3.js and Highcharts, to leveraging full-fledged BI & analytics platforms.
Through a demo application built on React.js, this webinar will introduce each of these approaches, offer guidance on which to use based on requirements, and share best practices for embedded analytics.

In this webinar, you will learn:
-Why embedded analytics is so important today
-Options to implement embedded analytics and levels of integration
-Comparison of embedding options
-What a model implementation looks like through a demo app built on React.jsR

Back To Basics: Embedded Analytics 101

This workshop series features a brand-new demo application—created by the TIBCO Jaspersoft team and projekt202—that illustrates and teaches you how to create answer-generating applications of your own. Over the course of 5 webinars, we will introduce you to the what and the why of data as a feature applications and how you can build your own.

Lesson 2: Agenda

-Overview of the project 
-What were project goals?
-Project lifecycle (based on our sprint)
-Final demo app (what did we build)
-Final reference architecture (how did we build it)
-Define UX 
-Persona-based UX
-Choose style guide
-Set up app environment 
-Configuring app foundation with React.js
-Helper
-Setting up mock authentication (token-based)
-UI Foundation (building UI with React.js)
-Prepare data to support UX 
-Introduce dataset(s)
-Data dictionary
-Data architecture
-Data integration / prep


Data-as-a-Feature Tutorial Lessons:

1) Build answer-generating apps that users love: Learn best practices for making data valuable to your application users
2) Getting started: How to set up your data-as-a-feature project
3) Project Overview
4) Defining the user experience
5) Setting up the application environment
6) Preparing data
7) Visualizing data: How to design reports and data visualizations your users love
8) Your data in your app: Implementing interactive reports & data visualizations in a React app
9) Managing the experience + ad hoc reporting: Handling security, multi-tenancy, and self-service reporting for your data-as-a-feature app

Getting Started: How to Setup Your "Data-as-a-Feature" Project

Everyone loves a great dashboard. Effective dashboards provide key metrics to users at-a-glance and allow the business, or its customers, to discover details in data that are relevant to their specific needs. Unfortunately, assembling a great dashboard is not a simple task. There are endless options including what data to include, how to format it, and how to strike the right balance between a personalised and flexible dashboard experience. So what should you consider when creating your own dashboards? 

Join Raphael Peguet, TIBCO JaspersoftⓇ senior solutions consultant, as he breaks down the various styles of dashboards and shares tips and tricks for creating great dashboards that you can incorporate immediately into your own projects.

In this webinar you will learn

-The concepts and components of effective dashboards
-How to assemble a dashboard
-How to design data so it’s personal, visually appealing, and helps bring insight

Back to Basics: Dashboards 101

Data as a Feature: Implementing interactive reports and data visualizations in a React app

This workshop series features a brand-new demo application—created by the TIBCO Jaspersoft team and projekt202—that illustrates and teaches you how to create answer-generating applications of your own. Over the course of 5 webinars, we will introduce you to the what and the why of data as a feature applications and how you can build your own.

Topics covered in this session:

-Levels of embedding (options for embedding)
-Embedding with Visualize.js
-How embedding works in the demo app
-Best practices & key takeaways
-Data-as-a-Feature Tutorial Lessons:

1) Build answer-generating apps that users love: Learn best practices for making data valuable to your application users

2) Getting started: How to set up your data-as-a-feature project

3) Visualizing data: How to design reports and data visualizations your users love (delayed to September launch) 

4) Your data in your app: Best practices for embedding interactive reports and visualizations in your app (Now available!) 

5) Managing the experience + ad hoc reporting: Handling security, multi-tenancy, and self-service reporting for your data-as-a-feature app

Best Practices for Embedding Interactive Reports & Visualizations

Organizations, applications and processes all need reports: information presented to people in readily consumable formats. Reports and visualizations help people get value out of any system. Come and learn the fundamentals of delivering reporting to people wherever they are: within organizations, in the cloud, through websites and applications, and every conceivable audience.

In this webinar you will learn:

-How to build your first report using two techniques 
-Best practices for designing reports and running an effective reporting system
-Methods for delivering reports to users

Back to Basics: Reporting 101

While humans’ ability to adapt to technological change is increasing, it’s still not keeping pace with the projected rate of innovation in Artificial Intelligence. To overcome this widening gap, the future enterprise workforce must learn to adapt and develop skills to distill more business insights in less time.

Join this webinar to see how AI-powered techniques are automating guided analytics workflows with the latest advancements in:       

- Smart Recommendations Engines
- Natural Language Querying
- Simplified Data Preparation 
- Data Science Functions for Advanced Applications

Unlocking the AI-Enhanced Enterprise with Automated Analytics

Watch this webinar and learn more about EPAM's accelerators, which are plugins for the TIBCO Spotfire platform. You will be introduced to EPAM's SharePoint Connector and EPAM Excel Export through live product demos and use cases.

EPAM SharePoint Connector for TIBCO Spotfire Software enables SharePoint data to be embedded within analytics, automates data import, ensures regular data refresh and solves integration challenges, which would be otherwise very costly to automate.

The EPAM Excel Export, Spotfire extension allows users to convert every Spotfire visual into Excel charts, export data tables, and manage them into .xlsx files without any third party's applications required on premises.

Watch this webinar for detailed product introductions and contact us at EnterpriseAnalytics@EPAM.com for more information, or to schedule a free consultation.

Automate SharePoint-Spotfire Data Connection & Present Dashboards Easily

Learn development best practices for embedding analytics in your application

More and more employees (not just data analysts or C-level execs) are expected to make data-driven decisions, yet only 20–25% of workers have access to business intelligence (BI) products. But when asked, your end users don’t want to use a “BI tool”—another interface to learn, another login—they want easily accessible answers. Instead of offering a standalone dashboard, the new trend is to embed analytics into applications that are already used every day.

This workshop series features a brand-new demo application—created by TIBCO Jaspersoft and projekt202—that illustrates and teaches you how to create answer-generating applications of your own. Over the course of 4 webinars, we will introduce you to the what and the why of data as a feature applications and how you can build your own.

Data as a Feature webinar sessions:

1)Build answer-generating apps that users love: Learn best practices for making data valuable to your application users
2)Getting started: How to set up your data as a feature project
3)Your data in your app: Best practices for embedding interactive reports and visualizations in your app
4)Managing the experience + ad hoc reporting: Handling security, multi-tenancy, and self-service reporting for your data as a feature app

Build Answer-Generating Apps That Users Love

Artificial intelligence is no longer in the future. It’s right here, right now—and it’s changing our lives. In this latest Data Science Central webinar, we’ll focus on the growing influence of anomaly detection on the Internet of Things (IoT), fintech, and healthcare.

You will learn how to:
Detect anomalies in IoT applications using TIBCO® Data Science with deep learning libraries (e.g. H2O, Python, TensorFlow, Amazon SageMaker)
Use TIBCO® Data Science models on the AWS Marketplace
Deploy models into operations for real-time monitoring and surveillance
Optimize your business and experience explosive growth with real-time anomaly detection.

Speakers:
Michael O'Connell, Chief Analytics Officer - TIBCO Software, Inc.
Steven Hillion, Senior Director, Data Science - TIBCO Software, Inc.

Hosted by:
Rafael Knuth, Contributing Editor - Data Science Central

AI In Action: Real-Time Anomaly Detection

Your end users don’t want to use another “BI tool" — they want fast answers. Start with Embedded BI

Instead of offering a standalone dashboard, the new trend is to embed analytics into applications that are already used every day. This session will feature a brand-new demo application—created by TIBCO Jaspersoft and Projekt202—that illustrates and teaches you how to create answer-generating applications of your own.

Data as a Feature: Build Answer-generating Apps with UX-driven Development

Digital twins are virtual representations of physical systems. The current interest in them is fueled by the convergence of IoT, machine learning and big data technology. As process complexity increases, they are becoming key to efficient operations and high product yields.

There is now a demand for ‘wide-and-big data’ analytic solutions that detect associations between product quality metrics and thousands to millions of process variables. These cutting edge solutions can support root-cause and predictive analyses. Further, the results must be available close to "real-time" to enable useful process interventions — for example to identify subtle equipment changes, process shift or drift, or to predict and remedy substandard yield for a lot in the line.

This webinar focuses on the implementation of a semiconductor manufacturing digital twin for yield that detects associations between product quality metrics and up to millions of predictor process.

What you will see via demos and learn about:

-How hybrid big-data plus in-memory systems are being utilized to address the various new analytic and IT-architecture problems associated with this challenge
-How to combine large-scale distributed analytics capabilities with comprehensive server- and in-memory-based advanced analytics
-How to deliver actionable interactive results through intelligent visualizations.

Digital Twins for Yield

EPAM Systems’ Visualization Suite for TIBCO Spotfire

EPAM Systems’ Visualization Suite is a package of accelerators for improving user experience through embedded features, self-service guidance, and custom look & feel:

-EPAM Guided Tour 
-EPAM Floating Visuals
-EPAM Visual Replacement 
-EPAM Visualization Widgets
-Using the EPAM Visualization Suite, you can increase business user engagement and accelerate analytics adoption by:

-Enhancing analytics understanding
-Automating training guidance
-Creating transparent and easy-to-overview reporting
-Providing visually appealing analytics

Watch this webinar featuring Botond Kopacz, product owner, -Enterprise Analytics, EPAM Systems, to learn how EPAM Visualization Suite integrates BI & analytics into your corporate culture to contribute to your success.

Contact EnterpriseAnalytics@EPAM.com for more information or to schedule a free consultation.

 

About EPAM SYSTEMS
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its software engineering expertise to become a leading global product development, digital platform engineering, and top digital and product design agency. Through its engineering DNA and innovative strategy, consulting, and design capabilities, EPAM works in collaboration with customers to deliver next-gen solutions that turn complex business challenges into optimized business outcomes.

EPAM: Engage Users & Accelerate Analytics Adoption

Guiding principles for adding reporting to your application

This webinar will examine the fundamental methods and considerations to start an embedded reporting project. Most importantly, it will help you answer the tough questions that are critical to ensure your project’s success.

Topics covered:

-What type of reporting do you need? (static, interactive, and/or self-service reporting)
-What level of embedding do you need? (separate reporting portal, an in-application reporting tab, or a fully embedded, inline reporting solution)
-How do you deploy embedded reporting within your application? (best practices for shared security and access permissions, performance & load balancing, data architecture, and more)

Embedded Reporting 101

Delve into the FSI computing trends that will facilitate next-generation banking systems. From adaptive data science for real-time and predictive intelligence, to visual intelligence that helps humans effectively “query the future,” this webinar examines:

- How artificial intelligence is innovating the industry and how humans and machines can combine to achieve strategic enhancement
- How FSI leaders can make sense of millions of data points and turn them into meaningful insights, and how AI is making this easier than ever before
- How data analytics is transforming risk and fraud management
- Discussions and participant poll results surrounding the good, the bad, and the ugly of AI

AI's Impact on Financial Service & Insurance - The Good, The Bad & The Ugly

Financial Services

Fintech

Artificial Intelligence

Data Analytics

Predictive Analytics

Data Best Practices

Insurtech

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AI's Impact on Financial Service & Insurance - The Good, The Bad & The Ugly

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