This is a presentation of Cyriel Kortleven (www.cyrielkortleven.com) about thinking outside the box and exploring different skills to give your creativity a boost.
Sex, Drugs and The Infinite Scroll: The biology behind engaging design. fresh tilled soil
Designing product for optimal engagement is challenging. This talk looks at how human biology can provide us with clues as to how people relate to products and experiences. Brain chemistry, emotional decisions, evolutionary cycles and social connections all play a part in how we connect to experiences.
Some Sums - Making mistakes in mobile game developmentTaner Baubec
This is Chillaptic's first self-published game on iOS and Android. Although we're a team of seasoned gamedevs, we made many mistakes that lead to a big failure. It is about the pitfalls of diving into indie development thinking you know how to make games. We're sharing the lessons we have learned and our new development plan for the future.
This is a presentation of Cyriel Kortleven (www.cyrielkortleven.com) about thinking outside the box and exploring different skills to give your creativity a boost.
Sex, Drugs and The Infinite Scroll: The biology behind engaging design. fresh tilled soil
Designing product for optimal engagement is challenging. This talk looks at how human biology can provide us with clues as to how people relate to products and experiences. Brain chemistry, emotional decisions, evolutionary cycles and social connections all play a part in how we connect to experiences.
Some Sums - Making mistakes in mobile game developmentTaner Baubec
This is Chillaptic's first self-published game on iOS and Android. Although we're a team of seasoned gamedevs, we made many mistakes that lead to a big failure. It is about the pitfalls of diving into indie development thinking you know how to make games. We're sharing the lessons we have learned and our new development plan for the future.
Behaviour change is the measurable outcome of good UX design. Here's a review of a few design techniques and processes to help UX designers to create sustainable behaviour change.
CYCLES Course (4): Communication and CheckBryan Cassady
If you’re looking to build bigger and better ideas, you need to get feedback.
To get effective feedback you need to be able to explain your ideas clearly, really listen (listening is not just hearing!), slow down to make sure you are on the right path and most importantly be ready to kill bad ideas.
Deliverable: Do people understand the idea, what do they think of the idea, are we making progress. If there is no good hope of progress, kill the idea
Visual Testing: It's Not What You Look At, It's What You SeeMike Lyles
My testing presentation on visual testing - more on the things that we miss when we pay too close attention or fall prey to "inattentional blindness". Discussion on how the brain plays tricks on testers.
Do you feel like you need to challenge your interviewees a little more?
Are the stale, cliché interview questions just not doing it for you anymore?
We’ve got the answer: nonsensical, irrelevant, weird and wonderful brainteasers!
Useful or a complete waste of time? You decide!
Critical thinking is the kind of thinking that specifically looks for problems and mistakes. Regular people don't do a lot of it. However, if you want to be a great tester, you need to be a great critical thinker, too. Critically thinking testers save projects from dangerous assumptions and ultimately from disasters. The good news is that critical thinking is not just innate intelligence or a talent—it's a learnable and improvable skill you can master. Michael Bolton shares the specific techniques and heuristics of critical thinking and presents realistic testing puzzles that help you practice and increase your thinking skills. Critical thinking begins with just three questions—Huh? Really? and So?—that kick start your brain to analyze specifications, risks, causes, effects, project plans, and anything else that puzzles you. Join Michael for this interactive, hands-on session and practice your critical thinking skills. Study and analyze product behaviors and experience new ways to identify, isolate, and characterize bugs.
You are the ultimate data wrangler. The polyglot master of python and R. You know all about the differences of linear versus logistic regression. You know when to use a dimensionality reduction algorithm and when to use a neural net. You have petabytes of data taking structural-form at your command, and you have the R-squared score to prove it!
But all of your data wrangling and number crunching won't matter if the decision makers ignore your data.
The tools to communicate the message in your data are simple, yet they can be a hard to learn. So, let’s talk about the five critical communication tools you need to master "The Art of Speaking Data."
Behaviour change is the measurable outcome of good UX design. Here's a review of a few design techniques and processes to help UX designers to create sustainable behaviour change.
CYCLES Course (4): Communication and CheckBryan Cassady
If you’re looking to build bigger and better ideas, you need to get feedback.
To get effective feedback you need to be able to explain your ideas clearly, really listen (listening is not just hearing!), slow down to make sure you are on the right path and most importantly be ready to kill bad ideas.
Deliverable: Do people understand the idea, what do they think of the idea, are we making progress. If there is no good hope of progress, kill the idea
Visual Testing: It's Not What You Look At, It's What You SeeMike Lyles
My testing presentation on visual testing - more on the things that we miss when we pay too close attention or fall prey to "inattentional blindness". Discussion on how the brain plays tricks on testers.
Do you feel like you need to challenge your interviewees a little more?
Are the stale, cliché interview questions just not doing it for you anymore?
We’ve got the answer: nonsensical, irrelevant, weird and wonderful brainteasers!
Useful or a complete waste of time? You decide!
Critical thinking is the kind of thinking that specifically looks for problems and mistakes. Regular people don't do a lot of it. However, if you want to be a great tester, you need to be a great critical thinker, too. Critically thinking testers save projects from dangerous assumptions and ultimately from disasters. The good news is that critical thinking is not just innate intelligence or a talent—it's a learnable and improvable skill you can master. Michael Bolton shares the specific techniques and heuristics of critical thinking and presents realistic testing puzzles that help you practice and increase your thinking skills. Critical thinking begins with just three questions—Huh? Really? and So?—that kick start your brain to analyze specifications, risks, causes, effects, project plans, and anything else that puzzles you. Join Michael for this interactive, hands-on session and practice your critical thinking skills. Study and analyze product behaviors and experience new ways to identify, isolate, and characterize bugs.
You are the ultimate data wrangler. The polyglot master of python and R. You know all about the differences of linear versus logistic regression. You know when to use a dimensionality reduction algorithm and when to use a neural net. You have petabytes of data taking structural-form at your command, and you have the R-squared score to prove it!
But all of your data wrangling and number crunching won't matter if the decision makers ignore your data.
The tools to communicate the message in your data are simple, yet they can be a hard to learn. So, let’s talk about the five critical communication tools you need to master "The Art of Speaking Data."
From Purpose to Person (Matthew Niederberger)Monetate
Matthew Niederberger, channel manager conversion at Ziggo, the largest cable operator in the Netherlands, talked to a group of marketing a-listers about the competitive advantage of using personalization to offer winning customer experiences.
His presentation, "From Purpose to Person," walks you through how to get started your organization on board with personalization efforts and how to get started.
Like what you saw? Check out Matthew on Twitter at www.twitter.com/MatthewNL or on his blog at www.actualinsights.com/.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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.
1. Stuck making a decision? Get
help from a radioactive banana!
2. • Relying on data to make your decision for you?
That’s for WIMPS.
• Hiding behind your data is a ROOKIE MOVE that
gets you NOWHERE. That’s because data is either
misinterpreted or WRONG in the first place.
• FINE FINE, you say, that’s all well and good, but
these decisions won’t make themselves! What do
we do? Do we have to go with our GUT? Is there
a MIDDLE GROUND?? TELL US WHAT TO DO!
4. • In this talk you will learn how to avoid falling for the trap of
supposedly neutral, data driven decision making.
• I will systematically pick apart every decision you have ever
made – KIDDING – rather,
• I will show example after example of GOOD decisions and
BAD decisions to show exactly WHOSE FAULT IT ALL IS
(yours).
• You will find that if you are extremely LAZY and self-aware
enough to realize what your MOTIVATION is and your
CAPABILITIES are, you hardly need to do any work AT ALL!
You can skate by on just enough data to get you off your
BUTT.
6. Here is exactly how radioactive they
are!
Banana = 2 blue squares
All the blue squares fit into just one green square
Living in a
concrete
building for a
year, such as
building 50,
is three
green
squares
7. Did you know there is a small amount
of cyanide in apple seeds?
8. Here is how many you would have to
eat in one sitting for it to kill you
Or you could choose this many apricot pits
9. Why am I sharing these horrible things
about the fruit we eat every day? I
hate this!!!
• It’s good you are having this reaction
• It’s normal to feel defensive about your fruit
• The fruit is a METAPHOR okay, of…
– The piece of data you have no control over
– The piece of data that is off brand
– The piece of data you had no intention of acting
on
– The info is way outside your motivation and
capabilities. SO DISCARD IT
10. Radioactive Banana :: Red Herring
• It’s true we’re seeing some outlying data that
our customers need our product localized into
Esperanto.
• But we won’t do it. It’s a radioactive banana.
• It’s true that our customers sometimes talk
with us on the phone for a long time and we
would save money if we talked from a script.
• But we won’t do it. It’s a radioactive banana.
11. Venn Diagram
Motivation
“Am I motivated
to change it?
Control
“Is it within my
powers to change
it?”
Yes, it’s a great idea to measure it
12. The Observer Effect
• Data sometimes changes when you measure
it!
• PROOF that we are never neutral observers,
even when we want to be.
Actual tree falling in actual forest
13. Heisenberg’s Uncertainty Principle
The more precisely the position of some particle is determined,
the less precisely its momentum can be known.
imnotyetdead.wordpress.com 13
14. Schroedinger’s Cat
Observation itself affects an
outcome, as an outcome, as
such, does not exist until it is
observed
thenerdiestshirts.com 14
17. The Latte Budget
• Completely buried under an abstract category
“Entertainment.” Because I am never going to
get rid of lattes.
18. The streaming video budget
• Total data driven analysis
Problem
Statement
Theories
Plan Data
Collection
Watching: Low Watching: High
Browsing: Low Cancel Keep
Browsing: High Cancel Cancel
19. We used to enjoy making decisions!
Old Way
• 31 Flavors
• Choosing is fun!
New Way
• 29 Dimensions of Compatibility
• We choose for you
19
groupon.co.in and
onlinedatingsoundbarrier.blogspot.com
20. This is ultimately why celebrity chef
Anthony Bourdain visited Chernobyl
• It was to bring back the FUN in decision
making!
• Plus, a zillion
greens!
21. It sure beats eating several town’s
worth of bananas
22. KEEP IT REAL SECTION
• Here is an actual, true-life screenshot of my
“Should I quit Microsoft” decision making
chart
23. Examples of Motivation
23
Company Question Answer… THIS is what we are
motivated to do.
Zappos What values do we want our
employees to demonstrate?
“Deliver WOW through service”
(Zappos.com)
Apple What do we want customers
to feel?
“Delight. Surprise. Love. Connection”
(Steve Jobs, 1997)
Microsoft What type of products
should we make?
“Create a family of devices and services
for individuals and businesses that
empower people around the globe at
home, at work and on the go, for the
activities they value most.” (Ballmer,
2013 shareholder letter)
Google How will we make money? Don’t be evil, updated to “You can
make money without doing evil.”
(Google.com/about/company/philosop
hy)
There are two very smart people who have tried to help us regarding the observer effect.
One is Heisenberg of the famous Heisenberg Uncertaintly Principle.
I love the name of this principle because that is where we are when we are trying to make a decision: Uncertain.
How do we know that, just because we filled out a very long survey on eHarnony, we haven’t permanently altered our personality such that we are now more pissed off?
That’s an example of measuring the data actually changing what you will find.
Heisenberg had a colleague Schroedinger who gave use a famous thought experiment where there is a cat in a box with a vial of poison. The poison may leak out or may not, it is a 50 50 chance for the poor kitty. Schroedinger challenged us to imagine that the state the cat is in, before the box is opened, is actually unresolved. The cat is both dead and notdead. It is the observation that resolves the cat’s state and, he challenged us further, actually kills the cat.
(pause)
These are all big problems. We can’t trust our gut, and data is flawed because as soon as we glance at it, it changes. What do we do, how do we make decisions anymore?
Since analysis paralysis is not an option…
The VP may have been correct anyway. Survey responders are wacky folks!
(Story about upcoming performance showdown)
Lots of people have to make decisions every day for their personal life or for business.
Many people have realized they are bad decision makers. If they just go with their gut they will get it wrong.
Experts have jumped in to help us by insisting we stop doing this, and instead use data to make some if not all of our decisions.
Somewhere along the way we have lost our ability to make decisions and would rather the data speak for us.
Images of bananas spread across several towns. Will probably have to self-shoot, not finding anything on stock.
Have we had the obligatory slide on how to quit your job at Microsoft yet? No? Okay here is tonight’s. Every exiting MSFT employee, of their own volition, makes a chart that shows… nay… QUANTIFIES that things will be OK. Solid numbers like financials are mashed up with soft numbers like “life satisfaction” to form a full picture that says SURRENDER YOUR KEYCARD. The next person who does this should create an excel macro just to save everyone else the time. Making this chart is an example of ANALYSIS PARALYSIS. TMI too much information. All you need to make this decision is one thing. One little thing. What is the smallest, measurable thing you can look at that if it hits a certain number, you’re done. YOU DON”T NEED THE WHOLE LANDSCAPE.
And this is what we do with our data gathering. With our analytics dashboards. We have no motivation, we want to be completely neutral, so we measure everything we can get our hands on and then FREAK OUT. Guess who doesn’t freak out? Companies that know what their motivation and capabilities are. Zappo’s and service. Google and evil. Apple and love. So if you want it, and it’s within your powers, then go ahead and measure that but just that. Back up your decision with data. Be willing to be influenced by what you find – maybe the act of measuring will affect your opinions on what needs changed. But subscribing to gobs and gobs of data collection as if you were a neutral observer is a COP OUT. It’s a myth. Leaders are not neutral observers. Leaders have opinions. And LEADERS MAKE DECISIONS.
Leaders are not neutral observers. Leaders have opinions. And LEADERS MAKE DECISIONS.
Remember the banana!
Learn from the banana!
Then,
IGNORE THE BANANA!