The world is in love with the "Internet of things" but we are using old tools to solve the problem. While we had no choice but to use native apps on our phones for this first generation of smart devices (e.g. Nest) it can't scale. If we believe in Moore's Law at all, we'll have hundreds if not thousands of these devices in our lives in a very short period of time. It just doesn't make sense to use apps as our primary interaction tool. The Physical Web is an approach to 'infuse' the web into physical objects so you can just walk up and use any device, on any platform, with just a single click.
As smart devices explode, we need a new way to interact with them, you can't download an app for a vending machine you'll use just once. The Physical Web unlocks the superpower of the web, frictionless interaction, for any smart device.
"If I had to start all over again?" Shared with MBA StudentsPunit Modhgil
Tips and ideas for new managers (and students) on starting out in 2012 or later in Corporate India, inspired from personal experiences and many sources.
Career Advice for MBA and BBA students or just a refresher for folks already in the corporate world.
With increasing amount of intelligence imbued in everyday products, designing for and with that intelligence is turning into a matter of understanding not only the perspective of the person but the one of the product too. As these products leave the ‘lab’ and enter our daily lives, they will be inserted into situations which they may not understand and which may not understand them. As it happened with learning-thermostats misunderstandings, roombas attacking hair and self-driving cars misbehaving, more examples will show the need for new languages, tools, and interfaces for products that might have to be understood, trained, tamed, trusted and dealt with. In this talk, we will look at a different way of designing for and with intelligence. Looking in the murky in between today’s reality and the utopian full automated future and by jumping in between real prototypes and fictional scenarios, we will explore new interactions that will emerge in the attempt of domesticating intelligence in our everyday lives.
The world is in love with the "Internet of things" but we are using old tools to solve the problem. While we had no choice but to use native apps on our phones for this first generation of smart devices (e.g. Nest) it can't scale. If we believe in Moore's Law at all, we'll have hundreds if not thousands of these devices in our lives in a very short period of time. It just doesn't make sense to use apps as our primary interaction tool. The Physical Web is an approach to 'infuse' the web into physical objects so you can just walk up and use any device, on any platform, with just a single click.
As smart devices explode, we need a new way to interact with them, you can't download an app for a vending machine you'll use just once. The Physical Web unlocks the superpower of the web, frictionless interaction, for any smart device.
"If I had to start all over again?" Shared with MBA StudentsPunit Modhgil
Tips and ideas for new managers (and students) on starting out in 2012 or later in Corporate India, inspired from personal experiences and many sources.
Career Advice for MBA and BBA students or just a refresher for folks already in the corporate world.
With increasing amount of intelligence imbued in everyday products, designing for and with that intelligence is turning into a matter of understanding not only the perspective of the person but the one of the product too. As these products leave the ‘lab’ and enter our daily lives, they will be inserted into situations which they may not understand and which may not understand them. As it happened with learning-thermostats misunderstandings, roombas attacking hair and self-driving cars misbehaving, more examples will show the need for new languages, tools, and interfaces for products that might have to be understood, trained, tamed, trusted and dealt with. In this talk, we will look at a different way of designing for and with intelligence. Looking in the murky in between today’s reality and the utopian full automated future and by jumping in between real prototypes and fictional scenarios, we will explore new interactions that will emerge in the attempt of domesticating intelligence in our everyday lives.
Closing keynote at GOVIS 2009 by Nat Torkington. First part: a Web 2.0 hypemerchant social media consultant. Second part: a bozo manager. Third part: honest truths.
How Web Design will reinvent manufacturingMike Kuniavsky
Picture a world where Amazon.com is a factory. Products are made as needed, based on direct input from users to designers and developers. Consumption directly drives production, and data informs design. If we weren't talking about physical products, this would sound a lot like Web/app interaction design, but the worlds of making atoms and bits are quickly colliding, and the implications are profound. By mapping what we have learned creating analytics-driven digital design to the physical world, we can change how everything is made, for the better.
Where does the traffic come from?
Twitter!
It's home to a whopping 353 million visitors.
And it's more lucrative than ever before...
While marketers fiercely compete on Instagram & Facebook for traffic, Twitter remains MASSIVELY untapped...
And here's the best part about this...
You won't have to do ANY of the work yourself.
Everyone’s Customers Are Wrong and Their Data Is LyingEvan Hamilton
You can't trust your customers or your data. But a combination will yield amazing results. Originally presented at the Startup Product Summit.
Learn more about how UserVoice can help you understand your customers at http://www.uservoice.com
Photo credits:
WTH dude - http://www.flickr.com/photos/porphyria/3206687773/
Groupon data - http://techcrunch.com/2011/06/02/groupon-growth-2-6-billion-revenue-run-rate-charts/ & http://techcrunch.com/2012/11/08/groupons-q3-2012-earnings/
Crowd - http://www.flickr.com/photos/anirudhkoul/3786725982/in/photostream/
Boys - http://www.flickr.com/photos/mutrock/8259688450/in/photostream/
Prince - http://ryanhoover.me/post/43545454717/test-something-crazy
We created a little case study that compliments 3 wonderful examples of combining e-commerce & social media that supercharges the entire brand experience by putting the audience's needs first. Our hats off to the agencies and brands who did some amazing digital work here.
Learning Lunch. Prob won't make much sense without me wittering on in the background. About setting up the new business, branded utility, some Google stuff and a few pieces of inspiration (do check out the Royal Society Animate videos on YouTube, the one on time is incredible).
#BTYSTE The evolution series. The Rise of Digital ChannelsFiona Sexton
Embracing Digital Transformation (Martin Hill-Wilson)
Serving The Social Customer (Nicola Millard)
Business and Technology Industry Panel Discussion (Garvan Callan, Eibhlin Payne, Paul O’Riordan, Tim Hynes)
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Closing keynote at GOVIS 2009 by Nat Torkington. First part: a Web 2.0 hypemerchant social media consultant. Second part: a bozo manager. Third part: honest truths.
How Web Design will reinvent manufacturingMike Kuniavsky
Picture a world where Amazon.com is a factory. Products are made as needed, based on direct input from users to designers and developers. Consumption directly drives production, and data informs design. If we weren't talking about physical products, this would sound a lot like Web/app interaction design, but the worlds of making atoms and bits are quickly colliding, and the implications are profound. By mapping what we have learned creating analytics-driven digital design to the physical world, we can change how everything is made, for the better.
Where does the traffic come from?
Twitter!
It's home to a whopping 353 million visitors.
And it's more lucrative than ever before...
While marketers fiercely compete on Instagram & Facebook for traffic, Twitter remains MASSIVELY untapped...
And here's the best part about this...
You won't have to do ANY of the work yourself.
Everyone’s Customers Are Wrong and Their Data Is LyingEvan Hamilton
You can't trust your customers or your data. But a combination will yield amazing results. Originally presented at the Startup Product Summit.
Learn more about how UserVoice can help you understand your customers at http://www.uservoice.com
Photo credits:
WTH dude - http://www.flickr.com/photos/porphyria/3206687773/
Groupon data - http://techcrunch.com/2011/06/02/groupon-growth-2-6-billion-revenue-run-rate-charts/ & http://techcrunch.com/2012/11/08/groupons-q3-2012-earnings/
Crowd - http://www.flickr.com/photos/anirudhkoul/3786725982/in/photostream/
Boys - http://www.flickr.com/photos/mutrock/8259688450/in/photostream/
Prince - http://ryanhoover.me/post/43545454717/test-something-crazy
We created a little case study that compliments 3 wonderful examples of combining e-commerce & social media that supercharges the entire brand experience by putting the audience's needs first. Our hats off to the agencies and brands who did some amazing digital work here.
Learning Lunch. Prob won't make much sense without me wittering on in the background. About setting up the new business, branded utility, some Google stuff and a few pieces of inspiration (do check out the Royal Society Animate videos on YouTube, the one on time is incredible).
#BTYSTE The evolution series. The Rise of Digital ChannelsFiona Sexton
Embracing Digital Transformation (Martin Hill-Wilson)
Serving The Social Customer (Nicola Millard)
Business and Technology Industry Panel Discussion (Garvan Callan, Eibhlin Payne, Paul O’Riordan, Tim Hynes)
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
10. #MakeItBetter
HYPOTHESIS STATEMENT
Elizabeth, a young eco-conscious recycler, has too much clutter in her living space
and is too busy to deal with it.
!
Our recycling service is a convenient, door-to-door way to remove clutter that
makes her feel good about where her clutter is going and gives her value.
!
We’ll know we are successful when Elizabeth successfully requests a recycling
pickup and would do it again.
30. #MakeItBetter
LOVE THIS AND WOULD USE IT
!
I LOVE THIS IDEA and I would totally use it all the time. It feels
very luxurious. Almost like a concierge to declutter your life and
do right by the things you are done with.
!
Thumbs up for the simplicity, the ease of use and the clean
design.
31. #MakeItBetter
Make the value prop really clear and fun up front, clean up the
submission process a bit and give people easy share tools to
spread the love.
!
Include a FAQ
!
I like that it is super simple, but I'm missing info to make me feel
like someone is definitely going to come get my stuff and when,
and that it's going to a place I trust.
32. #MakeItBetter
I don't have time to go to housing works when it is open. I
don't have time to get to the post office when it is open to
drop off my electronics to get to gazelle. So I think it's key to
highlight the fact that you'll pick up whenever, or we can
leave something outside and it will get picked up.
33. #MakeItBetter
Electronics are a really complicated subset that needs a real
solution. I have so many random electronics at home that i just
need to deal with and this seems like a much better solution. I
don't feel that way about jeans - I usually just drop those off at
housing works.
34. #MakeItBetter
It seems to me the psyche of your target are people like me.
They feel guilty about throwing stuff away, but are too busy
or lazy to take it to goodwill or Buffalo Exchange, so they have
a pile of old clothes, old electronics and things they think
could probably go to use somehow, but don’t want to deal
with figuring out how. Eventually they will freak out and
throw it all away, so you want to intervene before it reaches
critical mass
35. #MakeItBetter
Organize the page visually to be less cluttered.
!
My first impression was that I was going to give you all the junk
that I’m not sure I can recycle or not.
!
Generally easy, but i think there are some easy changes to
make it more user friendly…I just think the form needs a little
UX tweaking and clarity
37. #MakeItBetter
People would use this! We got great feedback from people
we spoke to and fantastic conversion rates.
!
Electronics converted better than clothes. Larger electronics
like televisions converted the best.
!
People want to be able to upload multiple things in one go.
They don’t necessarily want to have to re-submit the form for
each item
38. #MakeItBetter
The second version of the form did not convert as well as the
initial prototype. We believe this was due to a few factors:
!
• Form was not as clear with the photo and description on
the same page and not broken out
• Form had required fields (which is necessary), which
makes the original results skew incorrectly up
!
The form’s conversion was still strong, but could be improved.
39. #MakeItBetter
It is critical the form is as easy to use as possible.
!
It’s also helpful if people trust us. If we can get a few
testimonials or press articles, this will help convert.
!
This is an idea worth pursuing. We just need to give the
product more love from a branding & usability perspective.
The high conversion rates on ad units + the prototype all
signal that there appears to be demand for this service.
41. #MakeItBetter
Hone in on an initial brand direction with a lean branding
sprint.
!
Finalize the user experience with higher fidelity designs and
usability tests.
!
Build the initial product (either a web or mobile app) and get it
out into the world. Schedule pick-ups manually.