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2020 Sponsors

CONNECT WITH DECISION MAKERS ON OUR VIRTUAL PLATFORM

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A new business paradigm is emerging. Now, more than ever, organizations are looking to data analytics as their competitive advantage.

The pressure has never been greater for data analytics leaders to identify the very best solutions to take their capabilities to the next level.

This brings new opportunities.

Data & Analytics: Live is a 100% virtual conference and will connect the USA's most progressive data analytics leaders with the world's most forward-thinking solution providers, set against a backdrop of cutting-edge content that you cannot find anywhere else. At home, in the office or on the road.

On cell, desktop or tablet. D&A: Live is bringing the best of the best directly to you.

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WHY D&A LIVE - US?

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500+ Live Attendees

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40+ Expert Speakers

Learn From Those At The Forefront Of Data & Analytics Strategy

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30+ Exhibitors

Explore Our Virtual Exhibition And Find Solutions To Your Challenges

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OUTSTANDING INDUSTRY EXPERT SPEAKERS

1-573580060

WES CHAAR
CHIEF DATA & ANALYTICS OFFICER
CATALINA

6-61

FAUZIA SAEED
DIRECTOR, ANALYTICS & MARKETING INSIGHTS

THERMOFISHER SCIENTIFIC

SPEAKER DA LIVE (2)

CETIN KARAKUS
GLOBAL HEAD OF ANALYTICAL SOLUTIONS
BP

8-42

SEARS MERITT
HEAD OF DATA, STRATEGY & ARCHITECTURE
MASSMUTUAL

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2-109

RAJEEVE KAUL
GLOBAL CHIEF PRICING OFFICER
MCDONALD'S


7-41

MEENA IYER
DIRECTOR, ANALYTICS & MARKETING INSIGHTS
TAILORED BRANDS

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3-3700

MATTHEW LEWIS
CHIEF DATA & ANALYTICS OFFICER
MEDISTRAVA

4-87

FAWAD BUTT
CHIEF DATA & ANALYTICS OFFICER
UNITED HEALTH GROUP

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AGENDA


8:30 am PT / 11:30 am ET

Registration, orientation & networking in the Exhibition Hall


9:00 am PT / 12:00 pm ET

Keynote Presentation: Actions for Data & Analytics Leaders in the Age of COVID-19

  • Ensuring that decisions are made upon reliable, accurate, timely and consistent information
  • Creating a helpdesk for data and analytics questions and recognizing the value of metadata
  • Playing a leadership role in aligning work, sharing content, ideas and best practices
  • Simplifying processes to accelerate throughput through reporting & analytics

Speaker:

  • Fawad Butt, Chief Data & Analytics Officer, UnitedHealth Group  

9:30 am PT / 12:30 pm ET

Keynote Presentation: Data Readiness for AI - The Critical First Step to Adopt Exponential Technology in Your Organization 

  • The next stage of digital evolution's welcomes us with the promise of emotionally intelligent interfaces and hyper intuitive cognitive capabilities
  • This will transform the business in unpredictable ways 
  • As we prepare for the coming decade of disruptive change, we should remember the role of data and evaluate the readiness of our data to support existing and emerging AI capabilities 

Speakers:

  • Juan Tello, Principal & Chief Data Officer, Deloitte Consulting 
  • Fred Koopmans, VP, Product Management, Cloudera 

10:00 am PT / 1:00 pm ET

Panel Discussion: Let’s Work Together On This - Collaboration and Building Partnerships Between Data & Analytics Teams

  • The future of CAO & CDO titles – how are these evolving?
  • Striking the perfect balance between technology and business needs
  • Determining the ideal relationship between teams and structures that have different roles and priorities: data scientists, data engineers, data analysts etc.
  • Creating a ‘one team’ mentality with aligned priorities

Chaired by:

  • Shadaab Kanwal, Executive Leader, Digital, Data & Analytics Services, Charles Schwab  

Speakers:

  • Gerald Brady, Managing Director, SVB Network, Silicon Valley Bank
  • Debiprasad Roy, Senior Director, R&D Technology Platforms, Data Analytics & Programming, Allogen Therapeutics 
  • Nadeem Chaudhry, Head of Data, Earnest Inc
  • Krishna Karuturi, Senior Director, Computational Sciences, The Jackson Laboratory

10:40 am PT / 1:40 pm ET 
  • Networking & Competitions in the Exhibition Hall
  • Speaker Clinics & Chatrooms in the Lounge 

 

 

STREAM A - DATA

STREAM B - ANALYTICS

11:10 am PT / 2:10 pm ET Panel Discussion: Delivering Insights to Increase the Impact of Marketing

  • Capitalizing on marketing analytics in order to identify effective strategies and not work on assumptions
  • Ensuring that eCommerce and website analytics are being utilized in order to improve marketing campaigns
  • Collaboration, not conflict: maintaining harmonious relationships between analytics & marketing 

Speakers:

  • Wes Chaar, Chief Data & Analytics Officer, Catalina
  • Emil Matsakh, Former Chief Analytics Officer, Commonwealth Bank of Australia
  • Joanne Chen, VP, Data, YieldStreetJosh Margulies, Director, Integrated Brand Marketing, Jacksonville Jaguars
  • Vineet Kumar, Director, Product Analytics & Data Science, GoDaddy 

Presentation: Building a Mature Data Analytics Roadmap in a Shifting Industry

  • Build a data analytics roadmap that adapts with your data, business and customer needs
  • Learn how to navigate technologies for data collection and analytics that are on the horizon
  • Explore what a roadmap looks like in an industry that has been using data and analytics for decades
  • Learn how MassMutual has adopted a forward looking process for continued success and market disruption

Speaker:

  • Sears Merritt, Head of Data, Strategy & Architecture, MassMutual
11:50 am PT / 2:50 pm ET

Keynote Presentation: Deloitte/Cloudera

Keynote Presentation: YellowBrick




12:30 pm PT / 3:30 pm ET
  • Networking & Competitions in the Exhibition Hall
  • Speaker Clinics & Chatrooms in the Lounge
1:30 pm PT / 4:30 pm ET

Virtual Discussion Group: Data Lake or Data Swamp? Ensuring Strong Data Architecture

  • Best practices in data migration: people, process & technology
  • Identifying the data architecture that will work best for your organization
  • Creating a narrative and identifying effective change management procedures

Speakers:

  • Cetin Karakus, Global Head of Quantitative & Analytical Solutions, BP 
  • Allen Thompson, VP, Data & Analytics, Hanover Insurance Group
  • Nick Kabra, VP, Data Science Analytics, American Express
  • Eli Bernstein, Head of Data Architecture, Tudor Investment Corporation

Virtual Discussion Group: Successfully Mastering Upskilling to Capitalize on Self-Service Business Intelligence

  • Utilizing data visualization as a tool for self-service analytics
  • What are the best forms of upskilling for self-service business intelligence?
  • Creating training programmes that demonstrate ROI

Speaker:

  • Kirtida Parikh, Former Head of Enterprise Business Analytics, Silicon Valley Bank
2:30 pm PT / 5:30 pm ET

End of Day 1

 


8:30 am PT / 11:30 am ET

Registration, orientation & networking in the Exhibition Hall


9:00 am PT / 12:00 pm ET

Keynote Presentation: Behind the Scenes - Pioneering Better Data-Informed Decision-Making 

  • Factors that Affect Decision-Making Both With an Abundance and an Absence of Data
  • Looking at decision making as informed by artificial intelligence, and when done unconsciously, data-informed decision making is everything your stakeholders are considering
  • Overcoming the conundrum facing many teams who enlist data and analytics groups to solve problems, but can’t see past the results/performance they are focused on
  • How to shift stakeholders’ gaze towards outcomes and impact-oriented thinking

Speaker:

  • Matthew Lewis, Chief Data & Analytics Officer, MediStrava

9:30 am PT / 12:30 pm ET

Panel Discussion: Ensuring The Rise of Data Literacy for Improved ROI on Data Projects

  • Best practices for data cleaning and ensuring the right data is mindfully used at the right time
  • The importance of democratizing data
  • Education and getting the entire organization involved in the process
  • Ensuring analytics are able to operate with ease and little intervention

Speakers:

  • Len Usvyat, VP, Applied Advanced Analytics, Fresenius Medical Care
  • Edgar Abreu, VP, Data Analytics, Synchrony Financial
  • Meenal Iyer, Senior Director, Enterprise Analytics & Data, Tailored Brands
  • Fauzia Saeed, Director, Analytics & Marketing Insights, Thermofisher Scientific
  • Kirtida Parikh, Former Head of Enterprise Business Analytics, Silicon Valley Bank

10:10 am PT / 1:10 pm ET 
  • Networking & Competitions in the Exhibition Hall
  • Speaker Clinics & Chatrooms in the Lounge 

 

 

STREAM A - DATA

STREAM B - ANALYTICS & AI

11:00 am PT / 2:00 pm ET

Presentation: Beyond “Data-Driven” – Reimagining Game Development for the AI Age  

  • Zynga pioneered the idea of data-driven game development at a time when analytics wasn't a common place thing within the industry
  • These days though, it's hard to get away from headlines about big data and the AI revolution - Analytics has become commonplace and vendors queue up to provide easily integrated SDKs
  • Everyone has data, everyone calls themselves "data-driven" - but what comes after that?
  • Join Dr. Luke Dicken as he explores the Galaxy Brain of what lies beyond simple data-driven process, and the implications that has for automation, and creativity more broadly

Speaker:

  • Luke Dicken, Director, Applied AI, Zynga

Presentation: Disruptive Transformation With AI

  • The power of AI is disrupting every aspect of an organization, creating unique experiences with customers
  • In this session, learn the disruptive potential of AI and how you can utilize this power in your organization
  • Hear a real case study on how customer experiences changed with AI-driven algorithms while increasing the profitability of a company

Speaker:

  • Ash Dhupar, Chief Data & Analytics Officer & Author

11:30 am PT / 2:30 pm ET

Keynote Presentation: Denodo  

Keynote Presentation: Metric Insights

12:10 pm PT / 3:10 pm ET

Panel Discussion: Working with Differing Levels of Maturity in Systems and Experience Across the Enterprise

  • Developing a consistent strategy and message across different departments
  • Methods of upskilling different departments and individuals to capitalize on data strategy
  • Assessing maturity in order to assign appropriate tasks

Speakers:

  • Len Usvyat, VP, Applied Advanced Analytics, Fresenius Medical Care
  • Nick Kabra, VP, Data Science Analytics, American Express 
  • Allen Thompson, VP, Data & Analytics, Hanover Insurance Group
  • Joshua Brickman, VP, Business Strategy, TDGarden & Boston Bruins
  • Doug Oliveira, Chief Technology Officer, AWL
  • Sriram Belur, Head of Data & Advanced Analytics, CPP Investments 

Panel Discussion: Capitalizing on Your Data & Analytics Strategy for Better Business Results

  • Building an analytics strategy that adapts to your business needs, whilst taking into account architecture & IT capabilities
  • Adopting a forward-thinking, customer-focused and business enabled strategy for success
  • Identifying an analytics strategy that is appropriate for organization’s skills level

Speakers:

  • Rajeeve Kaul, Global Chief Pricing Officer, McDonald’s
  • Fauzia Saeed, Director, Analytics & Marketing Insights, Thermofisher Scientific
  • Frederique De Letter, Director, Enterprise Data Intelligence, Domino's
  • Srinivasan Sankar, Enterprise Data Leader, Hanover Insurance Group
12:50 pm PT / 3:50 pm ET
  • Networking & Competitions in the Exhibition Hall
  • Speaker Clinics & Chatrooms in the Lounge
1:30 pm PT / 4:30 pm ET

Virtual Discussion Group: Increasing Diversity in Data & Analytics and Proactively Developing Future Talent

  • What are the best methods of ensuring a diverse pipeline of talent into the industry?
  • What can be done to promote STEM, particularly to those who do not have a traditional STEM background?

Speakers:

  • Kirtida Parikh, Former Head of Enterprise Business Analytics, Silicon Valley Bank

  • Kathleen Maley, Independent Speaker and Former Head of Digital & Analytics Services

Virtual Discussion Group: Ensuring Success in Meeting the Artificial Intelligence Challenge

  • Defining the state of the possible – how mature are AI technologies currently, and what should we expect in the years ahead?
  • What opportunities does AI present to modern businesses ready to exploit them?
  • What are the challenges, and how can these be best overcome?
  • Getting beyond the buzzword – where should we be applying AI, and where shouldn’t we?

Speakers:

  • Ash Dhupar, Chief Data & Analytics Officer & Author
  • Renu Khandelwal, Advanced Analytics & Automation Manager, Tyson Foods
  • Che Guan, Principal Data Scientist, Raymond James
2:30 pm PT / 5:30 pm ET

End of Day 2

 


8:30 am PT / 11:30 am ET

Registration, orientation & networking in the Exhibition Hall


9:00 am PT / 12:00 pm ET

Keynote Presentation: If Data Is The Great Consumer Connector, ML/AI Is The Super Glue

  • In today’s hyper-fragmented world, the opportunity for retailers and marketers alike is to apply ML/AI to vast mountain ranges of data to connect with buyers seamlessly across channels as they traverse their shopper journey – from digital to in-store
  • Used strategically, AI can harness the impact and revelations of “big data” to engage with consumers on their terms to:
    o Provide desired personalization
    o Create experiences
    o Promote product discovery
    o Understand buyer motivations

Speakers:

  • Wes Chaar, Chief Data & Analytics Officer, Catalina
  • Marta Cyhan, Chief Marketing Officer, Catalina 

9:30 am PT / 12:30 pm ET

Panel Discussion: Driving Profitability Throughout the Enterprise - Unlocking New Revenue Streams Through Analytics

  • How can analytics help to increase revenues & reduce waste?
  • Moving analytics from a cost center to a profit center
  • Identifying areas where money and manpower would be better placed
  • Driving better insights whilst maintaining harmonious inter-departmental relationships

Speakers:

  • Sandip Nayak, Chief Credit & Analytics Officer, Fundation Group
  • Ben Donlon, Chief Analytics Officer, Metro United Way
  • Deep Ratna Srivastav, SVP, Head of Client Strategies & Analytics, Franklin Templeton Investments
  • Solomon Madadha, VP, Data & Analytics, Renasant Bank
  • Avinash Tripathi, Executive Director,  Analytics, Kaplan Higher Education

10:10 am PT / 1:10 pm ET 
  • Networking & Competitions in the Exhibition Hall
  • Speaker Clinics & Chatrooms in the Lounge 

 

 

STREAM A - DATA

STREAM B - ANALYTICS & AI

11:00 am PT / 2:00 pm ET

Presentation: Fighting Churn With Data – The Science of Great Customer Metrics

  • Data-driven churn prevention: creating a holistic view of marketing, product, customer success & sales and pricing
  • How useful are predictive models for churn?
  • Capitalizing on data science to improve customer metrics
  • Creating data models that effectively prevent customer churn
  • How to improve churn prediction accuracy

Speaker:

  • Carl Gold, Chief Data Scientist, Zuora

Presentation: The Blocks to Build AI Strategy at the Organization Level

  • Where to start, how to start and overcoming both internal and data challenges presented
  • Making AI useful for internal stakeholders as well as customers
  • Understanding and creating an operating model for AI products, including end to end spectrum, training models and scaling to a large user base without losing time
  • Where is the AI space heading – and what shortcomings are being found?

Speaker:

  • Fauzia Saeed, Director, Analytics & Marketing Insights, Thermofisher Scientific

11:30 am PT / 2:30 pm ET

Presentation:  Imperatives for Data Analytics Organizations in the age of COVID-19

  • The important role that data analytics play in your company given the impact of COVID-19
  • The critical activities that are needed immediately
  • Ways to develop new insights to help strategic decision making
  • Handling the significant increase in demand as businesses plot the path forward
  • Validating the goodness of your current models as well as past research and analytics studies
  • Optimizing a greater work from home environment
  • Assessing and revamping the make-up of your team to address the new and changing environment

Speakers:

  • Len Usvyat, VP, Applied Advanced Analytics, Fresenius Medical Care
  • Allen Thompson, VP, Data & Analytics, Hanover Insurance Group
  • Doug Oliveira, Chief Technology Officer, AWL

Panel Discussion: Think Big, Start Small – Building a Solid Foundation for AI & Machine Learning

  • Reverse the traditional order: finding business use cases for AI before it is acquired
  • How to actually define AI or machine learning and what it is going to do for your organization
  • Getting ‘hygiene’ factors in place: making sure that you have the correct infrastructure and operations

Speakers:

  • Paul Stolorz, Chief Data Scientist, App Annie
  • Renu Khandelwal, Advanced Analytics & Automation Manager, Tyson Foods
  • Kevin Hua, Senior Manager, AI & Machine Learning, Bayer
  • Amarnath Lingham, Head of Enterprise Advanced Analytics & AI, CDW
  • Alfred Essa, Simon Fellow, Carnegie Mellon University
12:10 pm PT / 3:10 pm ET
  • Networking & Competitions in the Exhibition Hall
  • Speaker Clinics & Chatrooms in the Lounge
1:00 pm PT / 4:00 pm ET

Virtual Discussion Group: Creating a Data Ethics Framework That Facilitates Innovation

  • Data ethics and innovation are not mutually exclusive: what are the best ways to build a structure that works for your organization
  • Taking into account ethics at all stages of the AI journey, but is it ever possible totally unbiased AI?
  • Is it possible we have become over fixated on regulation at the expense of ethics? How can we balance the two?

Speakers:

  • Serena Palumbo, Chief Data Protection Officer, ING
  • Bernadette Goellner, VP, Information Security & Privacy, Uphold Inc

Virtual Discussion Group: Exploring Evolving Organizational Demands for Analytics

  • What are the pros and cons of centralized vs decentralized analytics strategies?
  • Where in the organization should use cases for analytics originate?
  • How does the culture need to adapt & change in order to implement a successful analytics strategy?

Speakers:

  • Allen Thompson, VP, Data & Analytics, Hanover Insurance Group
  • Douglas Bennett, Former VP, Business Analytics, Ashley Furniture Industries
  • Nick Diieso, Director, Operational Risk, Citi
  • Jeff Bodzewski, Adjunct Professor Digital Marketing, DePaul University
2:00 pm PT / 5:00 pm ET

End of Day 3

 

REGISTER NOW DOWNLOAD AGENDA

THE BEST-IN-CLASS DIGITAL EXPERIENCE FOR DATA & ANALYTICS LEADERS

D&A: Live is a free, end-to-end digital conference including keynote theaters, an interactive exhibition, virtual meet-the-speaker breakout sessions, networking areas and more. D&A: Live will provide the connections, best practices and insights you need to realize business value from data, empowering you with actionable insights to maximize your company’s return on data and analytics.

Whether you are a senior executive or tech-savvy, this is the right platform to really engage and network with other senior data and analytics leaders from the comfort of your desk. Join us using only a laptop or mobile and an internet connection, take part regardless of where you are in the world - D&A: Live is accessible to a national, and global, audience.

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Online Streaming: A quality agenda featuring content focused on best practices for current challenges and initiatives - streamed live, ‘as-live’ or via on-demand presentations.
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A Virtual Interactive Expo: The virtual exhibition hall allows for engaging demos on the best tools and technologies, live chat between sponsors and delegates, scheduled meetings and access to downloadable content.

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An Exciting, Real Time Conversation with your Peers: Engage and network with top industry leaders in North America, plus have fun and win prizes! Get involved with Q&A, use the intuitive chat capability, take part in interactive games, competitions and social media shout-outs.
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Meet the Speaker: Inclusive Q&As with selected D&A: Live speakers will take place across the conference where delegates can deep dive into further discussions with the speakers.

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Exclusive VIP Discussions: Elite invite-only sessions with speakers and other senior global leaders.
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Networking Sessions – 1-2-1 and Group: The virtual D&A: Live will allow delegates, sponsors and speakers to network with 1-2-1 meetings and group sessions.
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Online Workshops & Virtual Side Events: Group spaces will allow for more collaborative experiences with presenters on video and better group interaction.

Register Your Pass

5 REASONS TO ATTEND D&A: LIVE

1. Learn from the most successful leaders in the data world, and explore the strategic issues that matter to you. We have years of experience in creating data events that deliver true insights.

2. Enjoy the convenience of an online event. There’s no need to spend time & money on travelno time out of the office, and you can fit the event around your schedule, or catch up on-demand.

3. Interact with the data community’s leading lights. Our technology and live broadcasts mean you can put your specific pain points & questions to our expert speakers, and get direct, actionable answers.
 
4. Hear live case studies from North America's most experienced data & analytics leaders.  Learn from their actionable takeaways on what works and what doesn’t for the challenges you are facing right now.

5. All for free! There’s no fee to register and no travel costs. All you need is access to the internet, from anywhere in the world, on any device! 
 

#DataAnalyticsLive

Please note: Free passes are only available for Data/ Analytics Practitioners from all industries who do not offer as their core business any solutions, recruitment services, consultancy or offer any software/hardware solutions within the data community. Please contact us for Sponsorship Opportunities.

Limited Vendor / Solutions Provider passes are available for $499 for anyone from organizations whose primary business purpose is to provide software or services or any other product relating to data/analytics/data asset technologies/data sets/cloud solutions/business intelligence / AI/ML tools/recruitment/management consulting to end users/practitioners. Corinium Global Intelligence reserves the right to determine the applicable ticketing for attendees based on these guidelines.

 

 

 

FAQs

GENERAL

 

  • D&A LIVE is a virtual summit for data & analytics-driven leaders. The Conference and Expo will take place exclusively online.
  • We will be sharing insights from the world's data & analytics experts within an immersive virtual experience.
  • All conference presentations are broadcasted via webcast so you can watch from the comfort of your own workspace or mobile device, wherever you are. You will have the ability to move from presentation to presentation as you see fit, and all the features of an in-person event will still be available (exhibit halls, networking, questions with presenters, downloadable collateral, etc.)
  • The Virtual Conference will take place from July 14 - 16, 2020.

 

 

  • Registered attendees will receive an email with login instructions 3-5 days before the event. We encourage all attendees to log into the platform before the conference starts to make sure you can login. If you have trouble logging in, please email
  • The conference will start daily at 9 am, Tuesday through Friday so attendees should be logged into the virtual platform and in their virtual sessions by 9:00 am.

 

 

  • Laptop, personal computer, tablet or mobile device.
  • Strong, reliable wifi connection.
  • Google Chrome is recommended to run the Virtual Conference platform.

 

 

  • Yes, the Virtual Conference is accessible via a smartphone or tablet. Please note that you will need to install the GoToWebinar App to be able to watch the sessions from your phone.

 

 

  • Approved sessions will be recorded during the event and made available to attendees approximately 1-2 days after the event and be available for 12 months after release. Recordings will also include the session slides.

 

 

  • #DataAnalyticsLIVE.

 

 

REGISTRATION & LOGGING IN

 

  • Attendees will receive an email with login instructions 3-5 days before the event. We encourage all attendees to log into the platform before the conference starts to make sure you can log in. If you have trouble logging in, please email inquiries@coriniumintel.com

 

 

  • Make sure you are using the SAME email you used to register your ticket for the conference. For further assistance, please contact inquiries@coriniumintel.com

 

 

  • You can visit the virtual “Info Desk” for technical support.

 

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