Name: Next-Generation AI Claims Processing
Start: 2021-04-28T08:45:00Z
End: 2021-04-28T08:45:27.000Z
Location: BrightTALK
Rating: 0

TIBCO fuels digital business by enabling better decisions and faster, smarter actions through the TIBCO Connected Intelligence Cloud. From APIs and systems to devices and people, we interconnect everything, capture data in real-time wherever it is, and augment the intelligence of your business through analytical insights. Thousands of customers around the globe rely on us to build compelling experiences, energize operations, and propel innovation. Learn how TIBCO makes digital smarter at www.tibco.com.

The pandemic may be receding, but emergent situations—like fires, hurricanes, and other events disruptive to business—continue to arise frequently. The impact on business is significant, and it all amps up the need for organizations to be agile and data-driven. Meanwhile, the data and analytics world has many segments, islands of functionality, areas of innovation, and ecosystems within ecosystems. That makes data technology-rich, but it can also slow down data-driven progress. To fix this, you must take an end-to-end approach to analytics.
AI and insights need data, and data comes from multiple sources at multiple speeds. Some data will be copied locally. Other data will be virtualized. That’s why artificial intelligence, business intelligence, data virtualization, and streaming data processing need to be stitched together gracefully for data-driven culture to be a reality that can be implemented and sustained. Meanwhile, the silos across vendors, analyst teams, data science teams, and the technologies they use must be eliminated.
To learn how to break these barriers, use multiple technologies together, and attain data-driven agility in a post-pandemic world, join us for this on demand webinar run in partnership with GigaOm Research. The webinar features GigaOm analyst Andrew Brust as well as Lori Witzel and Alexis Peschiera from TIBCO.

The Future of Data Agility in the World’s New Normal

Data Science is having an increasing impact in sports. TIBCO actively supports teams such as Mercedes-AMG Petronas Formula One, TIBCO-Silicon Valley Women’s Cycling, and the NFL. 

In this webinar, we will discuss the impact analytics and data science is having for the Mercedes-AMG Petronas Formula digital twins how TIBCO technologies are used to analyze lap performance, predict lap times, and the likelihood of a crash.

Data Science in Formula One and Beyond

Digital transformation and real-time analytics are more important than ever. Data continues to be the key driver of business models aimed at an optimized consumer experience, but the rules and landscape are changing. To remain agile and resilient in the face of major disruptive events, chief digital officers (CDOs) need to harness the power of the cloud, data science, and advanced analytics.

From the fourth Chief Digital Officer Asia Summit, watch this on-demand session on what CDOs need to know to incorporate augmented analytics into their strategies to get the best of both predictive and prescriptive analytics. 

You’ll learn:
How predictive analytics helps enterprises generate deep insights and predict outcomes
What is driving the adoption of advanced analytics  
Why CDOs must augment decision-making, automation, and digital transformation strategies with both predictive and prescriptive analytics

CDO Trends: Is the Future of Predictive Analytics Prescriptive?

Did you know that 90% of the predictive models created by data science teams don’t make it into production? One of the hottest trends of 2022 is new innovation in “model operationalization” tools. You can now democratize the process of deploying predictive algorithms into manufacturing so that business users can see and control them.

This presentation will introduce model operationalization and explain seven ways it can change your thinking about modern manufacturing innovation.

7 Ways AI/ML Operationalization Tools Will Change Manufacturing

Watch this interactive session on how data science can be used to drive better customer engagement and greater sales and loyalty using open source Python and the advanced TIBCO Spotfire® analytics tool.

Through techniques such as clustering optimization, recommenders, and other machine learning methods, you will learn how a combination of visual analytics and data science can bring better communication, a deeper impact, and wider adoption in your organization.

Visual Data Science in Retail: Data Science Festival Sandbox Sessions

As digitalization, AI and IOT technologies continue to evolve, can insurers continue to satisfy the needs of an ever changing and demanding customer base?

The new AI realities:
- Smart, online interfaces and virtual claims adjusters  
- Continued pressure for faster claims settlement 
- Instant fraud algorithms 
- Intelligent AI decisioning  

Anni is the Group CEO for The Data Shack Collective group of sister companies. She started off with The Data-Shack in Africa, where she has been the Owner and Managing Director since 2001, taking the company (and its’ younger subsidiaries before that) into substantial year on year growth in the AME market for the past 20+ years and adding The Data Shack APAC to the group of companies in 2016 and The Data Shack UK in 2018.

The Practical Applications of AI in Claims Processing

Predicting customer demand is a crucial step in many industries. It can help efficiently manage the supply chain, assess future financial and logistical impacts, provide a better customer experience, and make a business more resilient. Learn how Nature's Pride, a large food retailer, uses TIBCO technologies to predict demand for a variety of products to ensure availability when customers need it most. See also how TIBCO's Continuous Supply Chain Accelerator can cover the entire process.

Forecasting Customer Demand in Retail Supply Chains with Nature's Pride

Digital business initiatives require automation, yet many organizations have a wide range of manual activities.

Humans at the Center of Automation
The focus for years has been automation between systems, without factoring in the human element. With the disruption to the workforce during the past year, it is clear that most organizations need to further reevaluate their processes, automate where possible, and streamline the steps that require human interaction.

Empowering the Business Users
Success requires modern approaches to connecting systems, data, and people—providing the agility and scale of the cloud and making it simple for business users to streamline processes.

Join AWS and TIBCO
Learn about evolution in the integration space that brings people to the center of workflow automation. In this webinar, you will learn about:
- Current state in many organizations
- Best practices and trends for self-service automation
- Value realized by early adopters

The Key to a Highly Efficient Digital Business

The travel industry is still undergoing heavy transformation. First, airlines and airports adapted to unscheduled country-wide lockdowns, canceled and rescheduled flights, and aided passengers trying to return home. Then they became banks, reimbursing passengers and travel agencies. And in the last few months, they have continued to innovate, using new procedures and technologies to make the journey as smooth as possible. 

The number one priority is complying with each country’s health and safety measures. Number two is preparing for when the world travels again and passengers return to telling stories about the places they have seen and explored.

Travel is not going away—but technology is needed now more than ever.

Join TIBCO and IATA discussing :

-How the travel industry is transforming
-Three technology imperatives for 2021
-How IATA is helping airlines during unforeseen disruptions 
-How, despite the pandemic, Airports of Rome remained on the top for the third straight year

Travelling in 2021: A Journey Facilitated by Technology with TIBCO & IATA

As the pace of business and change increase, application integration has become significantly more important. A hardened, proven, tightly coupled communication infrastructure is at the foundation of a truly digital enterprise that can quickly react to change.During this webinar Bill McLane, product evangelist at TIBCO, shares his experience and discusses some practical examples. Afterwards, Guy Crets, integration architect at i8c, joins Bill to discuss use of messaging technology with other integration solutions.

Choosing between Kafka, Pulsar, and Other Messaging Technologies

Companies have moved to operating at unprecedented speeds. For IT practitioners, this means rapid scaling of infrastructure, application development, and data handling. Enter UNIFY.

Part of the tightly integrated, loosely connected, fabric-based TIBCO Connected Intelligence platform, TIBCO Unify products deliver access to multiple large data sources, fast scalability, support for high-volume transactions, and seamless integration of data analytics and visualizations.

Gartner Magic Quadrant - Learn how TIBCO was named a Leader for MDM

Is your data architecture keeping up with the constant onslaught of more data sources, silos, complexity, and change? If so, you’re in good company: many organizations are struggling with this business risk-laden problem.

In response, data-driven organizations are implementing data fabrics—one of the hottest analyst and vendor topics in data management today.   

Should there be a data fabric in your future, too?

To find out, join other chief data officers, data architects, and data engineer leaders by tuning in to our on-demand webinar, Data Fabrics for Frictionless Data Access. Acclaimed independent analyst Rick van der Lans and TIBCO data strategist Robert Eve will walk you through:

- What a data fabric is, and why you need one
- How you can architect a service-centric fabric to gain flexibility and agility
- The data management and integration capabilities that are most relevant
- Where to start your journey to data fabric success

Data Fabrics for Frictionless Data Access

Evolving from applications of the past, modern digital applications are agile, composable, and able to react to the market’s changing dynamics and drive past the competition. This is exactly what Pirelli has done to transform their business. 

Watch this 20-minute video to learn how your strategy can similarly evolve to create a modern digital platform to power digital business at scale using API-led and event-driven applications in the cloud. 

Learn more about: 
•	API-led & event-driven architecture
•	Composable business
•	Cloud-native applications

The Digital Journey of Pirelli: Driven by API-led iPaaS in the Cloud

As the world transforms to digital—and companies try to stay relevant while balancing demands for sustainability and social responsibility—effective, efficient, and secure operations are critical. To achieve the level of agility needed to succeed in an increasingly connected world, many organizations are building “digital twins” – digital representations of not only devices and equipment, but also of business processes, people, and even the organization itself.

-But what do these digital twins look like?
-What capabilities are required for a successful digital twin?
-And how can blockchain play a role in enriching their implementation across complex distributed systems?

Join this session to discuss these questions, and to hear how blockchain, in conjunction with smart contracts, can drive the next generation of digital twin applications.

Blockchain: Powering Next Generation Digital Twins

Banking is an industry facing frequent disruption. In today’s competitive landscape, data is either an advantage or a bottleneck to success.

Watch our 20-minute session from the 2021 MONEYLive Summit to examine:

- Examples of how leading banks are turning data into an advantage
- The balancing act of privacy and personalization 
- Three ways banks can gain usable insights from big data

Data in Banking with Santander and TIBCO

With record-setting weather and other disruptive events, your business needs to maximize resilience. What risk factors need to be addressed? How do you use data and analytics to become and stay more adaptive and resilient?

Watch this webinar led by Lori Witzel, Director of Product Marketing at TIBCO Software, and featuring Guest Speaker, Boris Evelson, Forrester VP and Principal Analyst, to learn about:
-Lessons in business resilience from the pandemic
-The evolving role of data and analytics for a more adaptive enterprise
-Agility and low-code / no-code opportunities and risks
-The “new now” real-time BI
-Three key takeaways from Forrester
-Real-world examples of agility and resilience

Preparing for the New Normal: Driving Agility & Resilience

Cloud modernization is complex and requires coordinated planning with multiple departments. Without the right framework, IT will create future technical debt on top of a blown budget. Which is why the first step for CIO's and Architects is to answer the question
"Is my organization even ready for the cloud?"

This webinar provides a proven, structured methodology to assess the cloud readiness for your organization. You will learn:

1. The 7 building blocks of a cloud ready enterprise
2. How to measure the cloud maturity of your organization with our transformation framework

Is your Enterprise Cloud Ready?

Cloud has become synonymous with digital transformation because it provides enterprise IT leaders with the ability to deliver scale, flexibility, agility, and innovation while reducing cost.

The right cloud strategy gives you the ability to quickly respond to changes in the business and maintain a customer-centric focus.

In this first webinar of the three-part series on cloud-first digital transformation, we provide you with in-depth information on:
-The differences between public, private, hybrid, multi-, and cloud-native platforms
-The pros and cons of the most popular cloud-first strategies

Demystifying the Cloud

Insurers face growing pressure to achieve higher profitability and superior customer experience while reducing operational and settlement costs. Learn how you can resolve these challenges and expedite claims processing to the point where the vast majority of your claims can be resolved automatically, using open and modern technologies such as:

-API-led and event-driven integration
-Industry trained AI / ML models
-Immersive real-time visual analytics
-Low-code business process automation / case management

Next-Generation AI Claims Processing

Analytics

Artificial Intelligence

Automation

Claims Management

Data Analytics

Insurance

Insurtech

Machine Learning

Visual Analytics

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Marketing Operations and Automation

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Marketing

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Manufacturing

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Next-Generation AI Claims Processing

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