Data Con LA 2019 - Startup Showcase Blue.Social
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This document provides information about Blue, a company that enables smartphone users to autonomously discover people and things via Bluetooth. It introduces the executive team and gives an overview of how Blue's technology works to create social graphs and a decentralized Bluetooth marketplace. Projections estimate reaching 502k users in 1 year, 3.8 million in 2 years, and 20 million in 3 years. The company is raising $850k from strategic investors.
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Irving Chavez _Forecasting Project_Digital Presentation
The document discusses research on how technology will be deeply embedded in people's lives by 2025 and the impacts it may have. It covers trends like augmented reality, disruption of 20th century business models, the rise of social media and streaming services, and online education. It also discusses key drivers, projections, plans and uncertainties around issues like the future of companies like Tesla, safety concerns, and government regulation. Alternative futures discussed include a possible loss of interest in technology due to privacy and security concerns.
Kirby gooding comm303
The document discusses predictions for technology and society in the year 2026. It describes how the 1962 cartoon The Jetsons depicted a futuristic family living with flying cars and robots, and notes that many of the technologies shown have now been realized. The document also discusses predictions that robots will be able to perform more jobs by 2026, including medical procedures, manufacturing, and customer service roles. Some experts estimate nearly half of US jobs could be automated in the next two decades. The summary also touches on predictions that smartphones will have new capabilities like 3D holograms and wireless charging by 2026.
Web 3.0 Future of the Internet
"Web 3.0" - the next generation of the web, powered by blockchain technology. Web 3.0 is changing everything. From a more personal experience, to the democratization of ideas, to the way information is disseminated, this new age is already underway. The web is evolving rapidly. We’re already seeing the beginning of an entirely new web, where we will be able to build applications and run apps directly on the web. With web 3.0, we can create entire apps without having to go through the app stores. There are already several major players trying to figure out what web 3.0 will look like. But with the rise of the decentralized internet, we may not see a clear vision for the future of the web until it’s too late. In this article, I will explain what web 3.0 will look like, what it’s about, and how you can benefit from it.
Internet of Things
In this presentation, Chittrieta introduces the topic of IoT, current applications of IoT and associated trends. Chittrieta's interest lies in application of IoT on the shop floor in the manufacturing vertical.
South By South Best 2018
All the key trends from SXSW 2018 - and how you can use them for your brand and business (as well as the music artists you need to know, but don't).
Data Analytics and the Ubiquitous Internet of Things
Data Analytics and the Ubiquitous Internet of ThingsVision Concepts Infrastructure Services Solution
In a world where the Internet of Things (IoT) produces massive amounts of data from mobile devices, vehicular systems and environmental sensors, data scientist will be tasked with what to do with all of this information. We sat down with Cristian Borcea, PhD from the New Jersey Institute of Technology to discuss the IoT and Big Data applications.
insideBIGDATA: It seems we can’t turn on the television or read a newspaper without encountering the phrase, the “Internet of Things”. Aside from being a marketing term, what does this really mean?Internet of Things (IoT) - We Are at the Tip of An Iceberg
You are likely benefitting from The Internet of Things (IoT) today, whether or not you’re familiar with the term. If your phone automatically connects to your car radio, or if you have a smartwatch counting your steps, congratulations! You have adopted one small piece of a very large IoT pie, even if you haven't adopted the name yet.
IoT may sound like a business buzzword, but in reality, it’s a real technological revolution that will impact everything we do. It's the next IT Tsunami of new possibility that is destined to change the face of technology, as we know it. IoT is the interconnectivity between things using wireless communication technology (each with their own unique identifiers) to connect objects, locations, animals, or people to the Internet, thus allowing for the direct transmission of and seamless sharing of data.
IoT represents a massive wave of technical innovation. Highly valuable companies will be built and new ecosystems will emerge from bridging the offline world with the online into one gigantic new network. Our limited understanding of the possibilities hinders our ability to see future applications for any new technology. Mainstream adoption of desktop computers and the Internet didn’t take hold until they became affordable and usable. When that occurred, fantastic and creative new innovation ensued. We are on the cusp of that tipping point with the Internet of Things.
IoT matters because it will create new industries, new companies, new jobs, and new economic growth. It will transform existing segments of our economy: retail, farming, industrial, logistics, cities, and the environment. It will turn your smartphone into the command center for the both digital and physical objects in your life. You will live and work smarter, not harder – and what we are seeing now is only the tip of the iceberg.
Harnessing digital disruption to reinvent customer engagement v2
The document discusses digital disruption and how companies can reinvent customer engagement. Digital disruption refers to how new technologies disrupt existing markets. Factors driving disruption include startups, consumer desires, and the proliferation of connected devices creating the Internet of Things. To reinvent engagement, companies should use recommendations algorithms, social media to engage customers, and make their brand part of customers' daily lives. Planning for disruption requires scenario planning, analyzing touchpoints and campaigns, and ensuring engagement technologies provide value and relevance. The key is selecting digital platforms that deliver high engagement and connect brands to customers.
Web 3.0 presentation
Web 1.0 allowed only one-way consumption of content while Web 2.0 enabled user-generated content through tools like blogs and social media. Web 3.0 will connect all this data through applications and widgets that are location-aware and personalized. It will understand semantics to provide intelligent, contextualized search and recommendations tailored to individual users through social profiles and activity on various connected devices and platforms. Commerce will also change as companies target niche audiences through new forms of advertising integrated with popular personalities and content.
Keynote Sales Kickoff Interoute
This document outlines Sacha Vekeman's 2015 sales kickoff presentation. The presentation covered:
1. Trends from 1995 to the present and projections to 2035 regarding technology adoption and the growth of internet users and public cloud spending.
2. Expectations for emerging technologies like the internet of things, wearable devices, and connected cars to drive further connectivity between people, infrastructure, and data.
3. The opportunities and realities of big data and IoT, including challenges around integration, business models, and the need for ongoing services.
4. Examples of companies disrupting industries and working at the boundaries of markets to achieve success, and how Interoute can support entrepreneurs in a similar vein
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Harbor Research - The Internet of Things Meets the Internet of People
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E-COMMERCE BUSINESS MODELS IN THE CONTEXT OF WEB 3.0 PARADIGM
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The Top 10 Technology Trends Of The 4th Industrial Revolution
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Web 3.0 All the basics of the hype for beginners.pdf
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Irving Chavez _Forecasting Project_Digital Presentation
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Data Analytics and the Ubiquitous Internet of Things
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Internet of Things (IoT) - We Are at the Tip of An Iceberg
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Data Con LA 2022 Keynotes
1. LAUSD has been developing its enterprise data and reporting capabilities since 2000, with various systems and dashboards launched over the years to provide different types of data and reporting, including student outcomes and achievement reports, individual student records, and teacher/staff data.
2. Current tools include MyData (with over 20 million student records), GetData (with instructional and business data), Whole Child (with academic and wellness data), OpenData, and Executive Dashboards.
3. Upcoming improvements include dashboards for social-emotional learning, physical education, and tools to support the Intensive Diagnostic Education Centers and Black Student Achievement Plan initiatives.
Data Con LA 2022 Keynotes
The document discusses the County of Los Angeles' efforts to better coordinate services across various departments by creating an enterprise data platform. It notes that the county serves over 750,000 patients annually through its health systems and oversees many other services related to homelessness, justice, child welfare, and public health. The proposed data platform would create a unified client identifier and data store to integrate client records across departments in order to generate insights, measure outcomes, and improve coordination of services.
Data Con LA 2022 Keynote
Fastly is an edge cloud platform provider that aims to upgrade the internet experience by making applications and digital experiences fast, engaging, and secure. It has a global network of 100+ points of presence across 30+ countries serving over 1 trillion daily requests. The presentation discusses how internet requests are handled traditionally versus more modern approaches using an edge cloud platform like Fastly. It emphasizes that the edge must be programmable, deliver general purpose compute anywhere, and provide high reliability, security, and data privacy by default.
Data Con LA 2022 - Startup Showcase
The document summarizes how Aware Health can save self-insured employers millions of dollars by reducing unnecessary surgeries, imaging, and lost work time for musculoskeletal conditions. It notes that 95% of common spine, wrist, and other surgeries are no more effective than non-surgical treatments. Aware Health uses diagnosis without imaging to prevent chronic pain and has shown real-world savings of $9.78 to $78.66 per member per month for employers, a 96% net promoter score, and over $2 million in annual savings for one enterprise customer.
Data Con LA 2022 Keynote
- Project Lightspeed is the next generation of Apache Spark Structured Streaming that aims to provide faster and simpler stream processing with predictable low latency.
- It targets reducing tail latency by up to 2x through faster bookkeeping and offset management. It also enhances functionality with advanced capabilities like new operators and easy to use APIs.
- Project Lightspeed also aims to simplify deployment, operations, monitoring and troubleshooting of streaming applications. It seeks to improve ecosystem support for connectors, authentication and authorization.
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Data Con LA 2022 - Using Google trends data to build product recommendations
Mike Limcaco, Analytics Specialist / Customer Engineer at Google
Measure trends in a particular topic or search term across Google Search across the US down to the city-level. Integrate these data signals into analytic pipelines to drive product, retail, media (video, audio, digital content) recommendations tailored to your audience segment. We'll discuss how Google unique datasets can be used with Google Cloud smart analytic services to process, enrich and surface the most relevant product or content that matches the ever-changing interests of your local customer segment.
Data Con LA 2022 - AI Ethics
Melinda Thielbar, Data Science Practice Lead and Director of Data Science at Fidelity Investments
From corporations to governments to private individuals, most of the AI community has recognized the growing need to incorporate ethics into the development and maintenance of AI models. Much of the current discussion, though, is meant for leaders and managers. This talk is directed to data scientists, data engineers, ML Ops specialists, and anyone else who is responsible for the hands-on, day-to-day of work building, productionalizing, and maintaining AI models. We'll give a short overview of the business case for why technical AI expertise is critical to developing an AI Ethics strategy. Then we'll discuss the technical problems that cause AI models to behave unethically, how to detect problems at all phases of model development, and the tools and techniques that are available to support technical teams in Ethical AI development.
Data Con LA 2022 - Improving disaster response with machine learning
Antje Barth, Principal Developer Advocate, AI/ML at AWS & Chris Fregly, Principal Engineer, AI & ML at AWS
The frequency and severity of natural disasters are increasing. In response, governments, businesses, nonprofits, and international organizations are placing more emphasis on disaster preparedness and response. Many organizations are accelerating their efforts to make their data publicly available for others to use. Repositories such as the Registry of Open Data on AWS and Humanitarian Data Exchange contain troves of data available for use by developers, data scientists, and machine learning practitioners. In this session, see how a community of developers came together though the AWS Disaster Response hackathon to build models to support natural disaster preparedness and response.
Data Con LA 2022 - What's new with MongoDB 6.0 and Atlas
Sig Narvaez, Executive Solution Architect at MongoDB
MongoDB is now a Developer Data Platform. Come learn what�s new in the 6.0 release and Atlas following all the recent announcements made at MongoDB World 2022. Topics will include
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- Atlas Data Federation to seamlessly query, transform, and aggregate data from one or more MongoDB Atlas databases, Atlas Data Lake and AWS S3 buckets
- Queryable Encryption lets you run expressive queries on fully randomized encrypted data to meet the most stringent security requirements
- Relational Migrator which analyzes your existing relational schemas and helps you design a new MongoDB schema.
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Data Con LA 2022 - Real world consumer segmentation
Jaysen Gillespie, Head of Analytics and Data Science at RTB House
1. Shopkick has over 30M downloads, but the userbase is very heterogeneous. Anecdotal evidence indicated a wide variety of users for whom the app holds long-term appeal.
2. Marketing and other teams challenged Analytics to get beyond basic summary statistics and develop a holistic segmentation of the userbase.
3. Shopkick's data science team used SQL and python to gather data, clean data, and then perform a data-driven segmentation using a k-means algorithm.
4. Interpreting the results is more work -- and more fun -- than running the algo itself. We'll discuss how we transform from ""segment 1"", ""segment 2"", etc. to something that non-analytics users (Marketing, Operations, etc.) could actually benefit from.
5. So what? How did team across Shopkick change their approach given what Analytics had discovered.
Data Con LA 2022 - Modernizing Analytics & AI for today's needs: Intuit Turbo...
Ravi Pillala, Chief Data Architect & Distinguished Engineer at Intuit
TurboTax is one of the well known consumer software brand which at its peak serves 385K+ concurrent users. In this session, We start with looking at how user behavioral data & tax domain events are captured in real time using the event bus and analyzed to drive real time personalization with various TurboTax data pipelines. We will also look at solutions performing analytics which make use of these events, with the help of Kafka, Apache Flink, Apache Beam, Spark, Amazon S3, Amazon EMR, Redshift, Athena and Amazon lambda functions. Finally, we look at how SageMaker is used to create the TurboTax model to predict if a customer is at risk or needs help.
Data Con LA 2022 - Moving Data at Scale to AWS
George Mansoor, Chief Information Systems Officer at California State University
Overview of the CSU Data Architecture on moving on-prem ERP data to the AWS Cloud at scale using Delphix for Data Replication/Virtualization and AWS Data Migration Service (DMS) for data extracts
Data Con LA 2022 - Collaborative Data Exploration using Conversational AI
Anand Ranganathan, Chief AI Officer at Unscrambl
Conversational AI is getting more and more widely used for customer support and employee support use-cases. In this session, I'm going to talk about how it can be extended for data analysis and data science use-cases ... i.e., how users can interact with a bot to ask analytical questions on data in relational databases.
This allows users to explore complex datasets using a combination of text and voice questions, in natural language, and then get back results in a combination of natural language and visualizations. Furthermore, it allows collaborative exploration of data by a group of users in a channel in platforms like Microsoft Teams, Slack or Google Chat.
For example, a group of users in a channel can ask questions to a bot in plain English like ""How many cases of Covid were there in the last 2 months by state and gender"" or ""Why did the number of deaths from Covid increase in May 2022"", and jointly look at the results that come back. This facilitates data awareness, data-driven collaboration and joint decision making among teams in enterprises and outside.
In this talk, I'll describe how we can bring together various features including natural-language understanding, NL-to-SQL translation, dialog management, data story-telling, semantic modeling of data and augmented analytics to facilitate collaborate exploration of data using conversational AI.
Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More ...
Anil Inamdar, VP & Head of Data Solutions at Instaclustr
The most modernized enterprises utilize polyglot architecture, applying the best-suited database technologies to each of their organization's particular use cases. To successfully implement such an architecture, though, you need a thorough knowledge of the expansive NoSQL data technologies now available.
Attendees of this Data Con LA presentation will come away with:
-- A solid understanding of the decision-making process that should go into vetting NoSQL technologies and how to plan out their data modernization initiatives and migrations.
-- They will learn the types of functionality that best match the strengths of NoSQL key-value stores, graph databases, columnar databases, document-type databases, time-series databases, and more.
-- Attendees will also understand how to navigate database technology licensing concerns, and to recognize the types of vendors they'll encounter across the NoSQL ecosystem. This includes sniffing out open-core vendors that may advertise as “open source,"" but are driven by a business model that hinges on achieving proprietary lock-in.
-- Attendees will also learn to determine if vendors offer open-code solutions that apply restrictive licensing, or if they support true open source technologies like Hadoop, Cassandra, Kafka, OpenSearch, Redis, Spark, and many more that offer total portability and true freedom of use.
Data Con LA 2022 - Intro to Data Science
Zia Khan, Computer Systems Analyst and Data Scientist at LearningFuze
Data Science tutorial is designed for people who are new to Data Science. This is a beginner level session so no prior coding or technical knowledge is required. Just bring your laptop with WiFi capability. The session starts with a review of what is data science, the amount of data we generate and how companies are using that data to get insight. We will pick a business use case, define the data science process, followed by hands-on lab using python and Jupyter notebook. During the hands-on portion we will work with pandas, numpy, matplotlib and sklearn modules and use a machine learning algorithm to approach the business use case.
Data Con LA 2022 - How are NFTs and DeFi Changing Entertainment
Mariana Danilovic, Managing Director at Infiom, LLC
We will address:
(1) Community creation and engagement using tokens and NFTs
(2) Organization of DAO structures and ways to incentivize Web3 communities
(3) DeFi business models applied to Web3 ventures
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Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...
Curtis ODell, Global Director Data Integrity at Tricentis
Join me to learn about a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left by traditional data management tools—one designed to handle structured and unstructured data from any source. You'll hear how you can use unique automation technology to reach up to 90 percent test coverage rates and deliver trustworthy analytical and operational data at scale. Several real world use cases from major banks/finance, insurance, health analytics, and Snowflake examples will be presented.
Key Learning Objective
1. Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting for compliance
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Data Con LA 2022-Perfect Viral Ad prediction of Superbowl 2022 using Tease, T...
1. The document discusses methods for predicting and engineering viral Super Bowl ads, including a panel-based analysis of video content characteristics and a deep learning model measuring social media effects.
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Data Con LA 2022- Embedding medical journeys with machine learning to improve...
Jai Bansal, Senior Manager, Data Science at Aetna
This talk describes an internal data product called Member Embeddings that facilitates modeling of member medical journeys with machine learning.
Medical claims are the key data source we use to understand health journeys at Aetna. Claims are the data artifacts that result from our members' interactions with the healthcare system. Claims contain data like the amount the provider billed, the place of service, and provider specialty. The primary medical information in a claim is represented in codes that indicate the diagnoses, procedures, or drugs for which a member was billed. These codes give us a semi-structured view into the medical reason for each claim and so contain rich information about members' health journeys. However, since the codes themselves are categorical and high-dimensional (10K cardinality), it's challenging to extract insight or predictive power directly from the raw codes on a claim.
To transform claim codes into a more useful format for machine learning, we turned to the concept of embeddings. Word embeddings are widely used in natural language processing to provide numeric vector representations of individual words.
We use a similar approach with our claims data. We treat each claim code as a word or token and use embedding algorithms to learn lower-dimensional vector representations that preserve the original high-dimensional semantic meaning.
This process converts the categorical features into dense numeric representations. In our case, we use sequences of anonymized member claim diagnosis, procedure, and drug codes as training data. We tested a variety of algorithms to learn embeddings for each type of claim code.
We found that the trained embeddings showed relationships between codes that were reasonable from the point of view of subject matter experts. In addition, using the embeddings to predict future healthcare-related events outperformed other basic features, making this tool an easy way to improve predictive model performance and save data scientist time.
Data Con LA 2022 - Data Streaming with Kafka
Jie Chen, Manager Advisory, KPMG
Data is the new oil. However, many organizations have fragmented data in siloed line of businesses. In this topic, we will focus on identifying the legacy patterns and their limitations and introducing the new patterns packed by Kafka's core design ideas. The goal is to tirelessly pursue better solutions for organizations to overcome the bottleneck in data pipelines and modernize the digital assets for ready to scale their businesses. In summary, we will walk through three uses cases, recommend Dos and Donts, Take aways for Data Engineers, Data Scientist, Data architect in developing forefront data oriented skills.
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My presentation slides I used at JavaLand 2024
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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Data Con LA 2019 - Startup Showcase Blue.Social
- 2. Jose Montero CEO/President Erich Ocean CTO Christen Montero CMO Jose Montero Sr. CFO/COO Mario Contreras Lead Designer/PM Lauren Ocean Development Massachusetts Institute of Technology The Blue Team. OVER 80+ YEARS OF COMBINED EXPERIENCE
- 3. Jose Montero, CEO jose@Blue.social Blue enables anyone with a smartphone to discover people & things autonomously via Bluetooth.
- 4. Social Graphs Today. MANUALLY CREATED LINKS
- 5. Social Graphs in Real-Life. LACKING CONNECTIONS BETWEEN THEM
- 6. AUTO-NETWORKING U.S. Utility Patent issued February 1, 2018.
- 7. Social Graphs Tomorrow. AUTONOMOUSLY CREATED LINKS
- 8. Social Graphs Tomorrow. RELEVANCY SCORES
- 9. Engine For Inferring Links. SHORT RANGE WIRELESS COMMUNICATION
- 10. Decentralized Bluetooth Market Network. Blue enables anyone with a smartphone to discover people & things autonomously, via Bluetooth.
- 11. Create Your Virtual Identity Bluetooth Discovery People & Things HOW IT WORKS It’s where you create value. 3% per Bluetooth transaction.
- 12. Bluetooth Market Network. Network 3.02 billionSocial Media Users Identity & Communications MarketPlace - ioT $764 billion Transactions among multiple buyers & multiple sellers. Bluetooth - API Application Programming Interface 35.8 billion Smart Devices connected the internet INTERNET OF THINGS - 2021 James Currier, Managing Partner, NFX Beacons
- 13. Blue Beacon Dashboard BLUETOOTH AS A SERVICE - API Overview
- 14. Blue Proximity Marketing OVER 150,000 CLICKS
- 15. Retail Shopping malls, brand retailers, convenience stores, gast stations Hospitality Hotels, casinos, restuarants, bars, nightclubs, schools, vacations, stadiums, convention centers, airports. Smart Cities Advertising, transportation, safety/security, government, insurance, code enforcement, regulatory applications. Blue Vertical Markets BLUETOOTH AS A SERVICE - API
- 16. (Beta Users - Version 2) Blue Social Traction PILOT AT THREE UNIVERSITIES.
- 17. Allows users to share their Blue profiles by tapping it against a compatible smartphone (without them needing an app). New Growth Hack USING THE LATEST NFC TECHNOLOGY TO BLITZSCALE
- 18. P&L Statement Projections 1-YR 502K 2-YRS 3.8M 3-YRS 20M USERS
- 19. Raising $850k WHAT WE NEED FROM YOU Strategic Investors
- 20. Jose Montero CEO/President jose@blue.social www.blue.social LET BLUE INTRODUCE YOU Thank you.