Applying Big Data to Flow Theory

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DataWorks Summit

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Big Data & Flow Theory
@StefanGroschupf

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Attention < 8s

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AD…

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Gaming > 7 hrs

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Efﬁciency

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Eyeballs == $$$

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Mihaly Csikszentmihalyi

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Happiness?

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114 bit/s

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Skills
Challenge
low high
high
Boredom
Relaxation
Apathy
Worry
Anxiety
Arousal
Control
Flow

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Completely involved – focused, concentrated…!
Sense of ecstasy—of being outside everyday reality…!
Great inner clarity—knowing what needs to be done…!
Knowing activity is doable—adequate skills…!
Sense of serenity—no worries about oneself…!
Timelessness—hours seem to pass by in minutes…!
Intrinsic motivation—whatever produces ﬂow becomes its own reward…
Deﬁnition

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Flow!
Channel
Skills
Challenge
low high
high
Boredom
Anxiety

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World/Task 1
World/Task 2
World/Task 3
Flow!
Channel
Skills
Challenge

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Average User

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A/B Testing

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AverageHardcore
Novice

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Iterative Adjusting Loop
Flow Adjustment
Player
Player!
Data
Monitoring!
System
Analytics System
System!
Data
Analytics!
Result
Game!
System
Adjust!
Experience

$© 2014 Datameer, Inc. All rights reserved. Events {! "timestamp": 1324830675.076,! "status": "200",! "UUID": 45234532454545780,! "host": “ord2.cl4.company.com”,! "word": "y2",! "remote_host": "50.57.61.4",! "event": { name : “world.version.action” value : 250 location: … }! ...! }$

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Pull vs. Push

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Data Prep
Raw Data Filter By Event
Virality
Monetization
Engagement

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Measure Flow
Challenge
Reward
over time

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Cluster Behavior

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Decision Tree

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Adjust Challenge

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Adjust Gamer Mix

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Engagement

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Increased Conversation

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Whole genome shotgun based next generation transcriptomics and metagenomics studies often generate 100 to 1000 gigabytes (GB) sequence data derived from tens of thousands of different genes or microbial species. De novo assembling these data requires an ideal solution that both scales with data size and optimizes for individual gene or genomes. Here we developed an Apache Spark-based scalable sequence clustering application, SparkReadClust (SpaRC), that partitions the reads based on their molecule of origin to enable downstream assembly optimization. SpaRC produces high clustering performance on transcriptomics and metagenomics test datasets from both short read and long read sequencing technologies. It achieved a near linear scalability with respect to input data size and number of compute nodes. SpaRC can run on different cloud computing environments without modifications while delivering similar performance. In summary, our results suggest SpaRC provides a scalable solution for clustering billions of reads from the next-generation sequencing experiments, and Apache Spark represents a cost-effective solution with rapid development/deployment cycles for similar big data genomics problems.

Big Data Genomics: Clustering Billions of DNA Sequences with Apache Spark

DataWorks Summit

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Computer Vision: Coming to a Store Near You

Big Data Genomics: Clustering Billions of DNA Sequences with Apache Spark

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A Beginners Guide to Building a RAG App Using Open Source Milvus

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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

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Manulife - Insurer Transformation Award 2024

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

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Real Time Object Detection Using Open CV

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In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

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This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

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Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

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Axa Assurance Maroc - Insurer Innovation Award 2024

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Scalable LLM APIs for AI and Generative AI Application Development Ettikan Karuppiah, Director/Technologist - NVIDIA Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...

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Applying Big Data to Flow Theory

4. Problem

10. FLOW

16. © 2014 Datameer, Inc. All rights reserved. Completely involved – focused, concentrated…! Sense of ecstasy—of being outside everyday reality…! Great inner clarity—knowing what needs to be done…! Knowing activity is doable—adequate skills…! Sense of serenity—no worries about oneself…! Timelessness—hours seem to pass by in minutes…! Intrinsic motivation—whatever produces ﬂow becomes its own reward… Deﬁnition

18. Game Flow

23. © 2014 Datameer, Inc. All rights reserved. Iterative Adjusting Loop Flow Adjustment Player Player! Data Monitoring! System Analytics System System! Data Analytics! Result Game! System Adjust! Experience

24. Data

25. © 2014 Datameer, Inc. All rights reserved. Events {! "timestamp": 1324830675.076,! "status": "200",! "UUID": 45234532454545780,! "host": “ord2.cl4.company.com”,! "word": "y2",! "remote_host": "50.57.61.4",! "event": { name : “world.version.action” value : 250 location: … }! ...! }

31. Results

36. www.datameer.com! @Datameer

Applying Big Data to Flow Theory

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