The 21st century is all about collaboration. The way that we work is changing. How can you keep up with the trends and stay ahead of the curve? In this session you will learn about emerging technologies and new research from MIT, and collective intelligence and how it can advance your organization.
Have you ever get overwhelmed with the buzzwords like Business Intelligence, Big Data, Business Analytics, Data Warehouse, Data Mining, Data Visualization, Decision Support Systems, and Expert Systems? This presentation gives you a brief enlightening introduction and outlines how these technologies can help organizations earn competitive advantage.
Furthermore, the presentation explains the some important BI tools' adoption and return on investment considerations.
The State of Artificial Intelligence and What It Means for the PhilippinesThinking Machines
What consumer-ready applications of artificial intelligence are out there? What are the implications of semi-autonomous agents on Manila's BPO industry? Thinking Machines CEO and data scientist Stephanie Sy delivered this presentation on the current data science and AI landscape at the "Humans + Machines: Using Artificial Intelligence to Power Your People" conference held on February 19, 2016 at BGC, Taguig, Philippines.
Intelligence Augmentation - The Next-Gen AIMelanie Cook
Robotics and AI have integrated human and mechanical capabilities at work, with jobs lost and skills condensed to a keystroke. But human intelligence is far from obsolete.
With crowd-computing we have knowledge exchanges like Wiki, and real-time curated news. Semantic technology helps leaders to understand what is happening in the work place. But neurology shows that these leaders cannot make choices, and therefore take action, without emotion.
Augmented Intelligence takes human intuition and imagination, and combines it with AI’s ability to automate and scale, making the Intelligent Workplace hard to beat.
The workshop - 'AI transforming Business' is conducted on 20-21st Feb 2019 at Chennai hosted by CII.in (Confederation of Indian Industry) for top Indian executives.
This is a 2-day full-time workshop focused on coaching delegates on Artificial Intelligence(AI), Transforming business with AI, AI Data Strategy and best practices from organizations leading AI adoption across the world.
Delegates attended include Ex-CEO and Vice Chair of Cognizant Mr. Lakshmi Narayanan, CEO and MD of Ameex, AVP of Infosys, MD and CEO Rane Group, Sr. General Manager of Blue Star, Joint General Manager of L&T and 30 more delegates from top management from manufacturing, agriculture banking, and healthcare.
Speaker: Ashok Kumar - AI Evangelist, Entrepreneur, Executives Coach, Ph.D. Scholar, MBA
A focus on the themes especially relevant to libraries - Data; Curation, Ethics.Collections, Research Teaching and Learning/ Student Success & Student Wellbeing
Presented at Internet Librarian International on 15th October 2019
The 21st century is all about collaboration. The way that we work is changing. How can you keep up with the trends and stay ahead of the curve? In this session you will learn about emerging technologies and new research from MIT, and collective intelligence and how it can advance your organization.
Have you ever get overwhelmed with the buzzwords like Business Intelligence, Big Data, Business Analytics, Data Warehouse, Data Mining, Data Visualization, Decision Support Systems, and Expert Systems? This presentation gives you a brief enlightening introduction and outlines how these technologies can help organizations earn competitive advantage.
Furthermore, the presentation explains the some important BI tools' adoption and return on investment considerations.
The State of Artificial Intelligence and What It Means for the PhilippinesThinking Machines
What consumer-ready applications of artificial intelligence are out there? What are the implications of semi-autonomous agents on Manila's BPO industry? Thinking Machines CEO and data scientist Stephanie Sy delivered this presentation on the current data science and AI landscape at the "Humans + Machines: Using Artificial Intelligence to Power Your People" conference held on February 19, 2016 at BGC, Taguig, Philippines.
Intelligence Augmentation - The Next-Gen AIMelanie Cook
Robotics and AI have integrated human and mechanical capabilities at work, with jobs lost and skills condensed to a keystroke. But human intelligence is far from obsolete.
With crowd-computing we have knowledge exchanges like Wiki, and real-time curated news. Semantic technology helps leaders to understand what is happening in the work place. But neurology shows that these leaders cannot make choices, and therefore take action, without emotion.
Augmented Intelligence takes human intuition and imagination, and combines it with AI’s ability to automate and scale, making the Intelligent Workplace hard to beat.
The workshop - 'AI transforming Business' is conducted on 20-21st Feb 2019 at Chennai hosted by CII.in (Confederation of Indian Industry) for top Indian executives.
This is a 2-day full-time workshop focused on coaching delegates on Artificial Intelligence(AI), Transforming business with AI, AI Data Strategy and best practices from organizations leading AI adoption across the world.
Delegates attended include Ex-CEO and Vice Chair of Cognizant Mr. Lakshmi Narayanan, CEO and MD of Ameex, AVP of Infosys, MD and CEO Rane Group, Sr. General Manager of Blue Star, Joint General Manager of L&T and 30 more delegates from top management from manufacturing, agriculture banking, and healthcare.
Speaker: Ashok Kumar - AI Evangelist, Entrepreneur, Executives Coach, Ph.D. Scholar, MBA
A focus on the themes especially relevant to libraries - Data; Curation, Ethics.Collections, Research Teaching and Learning/ Student Success & Student Wellbeing
Presented at Internet Librarian International on 15th October 2019
What does a data scientist actually do? Here at Good Rebels we wanted to outline a profile of this new profession, with the help of various industry leaders from academia, business and institutions. In short, we concluded that the main tasks of a data scientist are to identify data, transform it when incomplete, categorize it, prepare it for analysis, perform the analysis, visualize the results and communicate them.
The book summarizes the Chicago School of Data project which included a scan of our local data ecosystem from 2013 - 2014 and a convening we built on top of that scan. Typical with other Smart Chicago projects like CUTGroup and the Array of Things Civic Engagement Project, we also included “meta” sections in the Chicago School of Data book — specific details about how we executed our projects, what tools we used, and the logic or guiding principles behind our program design decisions.
http://www.chicagoschoolofdata.com/
Presentation from a panel discussion on the business case for HR in the virtual world at a Human Resources seminar in Boston in January 2009. Panelists were from Duke CE, Duke, IBM, and the Stockholm School of Economics. Please note that part of the panel discussion included a tour to various places in SL.
There has been very little analysis of big data ethics from an Ignatian or Catholic Social Thought point of view. The Jesuit tradition, with its focus on persons and community, as well as the CST tradition, certainly provides some direction for navigating these difficult Big Data questions.
Communications of the Association for Information SystemsV.docxmonicafrancis71118
Communications of the Association for Information Systems
Volume 34 Article 65
5-2014
Tutorial: Big Data Analytics: Concepts,
Technologies, and Applications
Hugh J. Watson
University of Georgia, [email protected]
Follow this and additional works at: http://aisel.aisnet.org/cais
This material is brought to you by the Journals at AIS Electronic Library (AISeL). It has been accepted for inclusion in Communications of the
Association for Information Systems by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact
[email protected]
Recommended Citation
Watson, Hugh J. (2014) "Tutorial: Big Data Analytics: Concepts, Technologies, and Applications," Communications of the Association
for Information Systems: Vol. 34, Article 65.
Available at: http://aisel.aisnet.org/cais/vol34/iss1/65
http://aisel.aisnet.org/cais?utm_source=aisel.aisnet.org%2Fcais%2Fvol34%2Fiss1%2F65&utm_medium=PDF&utm_campaign=PDFCoverPages
http://aisel.aisnet.org/cais/vol34?utm_source=aisel.aisnet.org%2Fcais%2Fvol34%2Fiss1%2F65&utm_medium=PDF&utm_campaign=PDFCoverPages
http://aisel.aisnet.org/cais/vol34/iss1/65?utm_source=aisel.aisnet.org%2Fcais%2Fvol34%2Fiss1%2F65&utm_medium=PDF&utm_campaign=PDFCoverPages
http://aisel.aisnet.org/cais?utm_source=aisel.aisnet.org%2Fcais%2Fvol34%2Fiss1%2F65&utm_medium=PDF&utm_campaign=PDFCoverPages
http://aisel.aisnet.org/cais/vol34/iss1/65?utm_source=aisel.aisnet.org%2Fcais%2Fvol34%2Fiss1%2F65&utm_medium=PDF&utm_campaign=PDFCoverPages
mailto:[email protected]>
Volume 34 Article 65
Tutorial: Big Data Analytics: Concepts, Technologies, and Applications
Hugh J. Watson
Department of MIS, University of Georgia
[email protected]
We have entered the big data era. Organizations are capturing, storing, and analyzing data that has high volume,
velocity, and variety and comes from a variety of new sources, including social media, machines, log files, video,
text, image, RFID, and GPS. These sources have strained the capabilities of traditional relational database
management systems and spawned a host of new technologies, approaches, and platforms. The potential value of
big data analytics is great and is clearly established by a growing number of studies. The keys to success with big
data analytics include a clear business need, strong committed sponsorship, alignment between the business and
IT strategies, a fact-based decision-making culture, a strong data infrastructure, the right analytical tools, and people
skilled in the use of analytics. Because of the paradigm shift in the kinds of data being analyzed and how this data is
used, big data can be considered to be a new, fourth generation of decision support data management. Though the
business value from big data is great, especially for online companies like Google and Facebook, how it is being
used is raising significant privacy concerns.
Keywords: big data, analytics, benefits, architecture, platforms, privacy
Volume 34, .
T
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1
Statistics: Visualizing Data
Introductory Essay from the Locks
The Reality Today
All of us now are being blasted by information design. It's being poured into our eyes
through the Web, and we're all visualizers now; we're all demanding a visual aspect to
our information… And if you're navigating a dense information jungle, coming across
a beautiful graphic or a lovely data visualization, it's a relief, it's like coming across a
clearing in the jungle. –David McCandless
In today’s complex ‘information jungle,’ David McCandless observes that “Data is the new soil.”
McCandless, a data journalist and information designer, celebrates data as a ubiquitous resource
providing a fertile and creative medium from which new ideas and understanding can grow.
McCandless’s inspiration, statistician Hans Rosling, builds on this idea in his own TEDTalk with his
compelling image of flowers growing out of data/soil. These ‘flowers’ represent the many insights that
can be gleaned from effective visualization of data.
We’re just learning how to till this soil and make sense of the mountains of data constantly being
generated. As Gary King, Director of Harvard’s Institute for Quantitative Social Science says in his New
York Times article “The Age of Big Data”:
“It’s a revolution. We’re really just getting under way. But the march of quantification,
made possible by enormous new sources of data, will sweep through academia,
business and government. There is no area that is going to be untouched.”
How do we deal with all this data without getting information overload? How do we use data
to gain real insight into the world? Finding ways to pull interesting information out of data can
be very rewarding, both personally and professionally. The managing editor of Financial Times
observed on CNN’s Your Money: “The people who are able to in a sophisticated and practical
way analyze that data are going to have terrific jobs." Those who learn how to present data in
effective ways will be valuable in every field.
T
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Many people, when they think of data, think of tables filled with numbers. But this long-held notion is
eroding. Today, we’re generating streams of data that are often too complex to be presented in a
simple “table.” In his TEDTalk, Blaise Aguera y Arcas explores images as data, while Deb Roy uses
audio, video, and the text messages in social media as data.
Some may also think that only a few specialized professionals can draw insights from data. When we
look at data in the right way, however, the results can be fun, insightful, even whimsical--and accessible
to everyone! Who knew, for example, that there are more relationship break-ups on Monday than on
any other day of the week, or that ...
"Scope, Scale, Speed" -- for the Journal of the American Association of Schoo...Michael Edson
Text (and a few, adapted/simplified graphics) of an article in the May/June 2013 issue (Volume 41, No. 5) of Knowledge Quest, the journal of the American Association of School Librarians. I have included a few adapted /simplified graphics from the article, and I have added hyperlinks and an update/note or two. The original publication was sent to 7,000 school libraries and members of the American Association of School Librarians, and it is also available via several research databases.
The article is published in Knowledge Quest as CC-BY
Creating a Data-Driven Government: Big Data With PurposeTyrone Grandison
The U.S. Department of Commerce collects, processes and disseminates data on a range of issues that impact our nation. Whether it's data on the economy, the environment, or technology, data is critical in fulfilling the Department's mission of creating the conditions for economic growth and opportunity. It is this data that provides insight, drives innovation, and transforms our lives. The U.S. Department of Commerce has become known as "America's Data Agency" due to the tens of thousands of datasets including satellite imagery, material standards and demographic surveys.
But having a host of data and ensuring that this data is open and accessible to all are two separate issues. The latter, expanding open data access, is now a key pillar of the Commerce Department's mission. It was this focus on enhancing open data that led to the creation of the Commerce Data Service (CDS).
The mission at the Commerce Data Service is to enable more people to use big data from across the department in innovative ways and across multiple fields. In this talk, I will explore how we are using big data to create a data-driven government.
This talk is a keynote given at the Texas tech University's Big Data Symposium.
Fall 2014 Impact Magazine, School of Business and Economics at Michigan TechLynn Makela
Michigan Tech's School of Business and Economics Impact magazine. A semi-annual alumni publication produced in collaboration with the School and University Marketing and Communications.
What does a data scientist actually do? Here at Good Rebels we wanted to outline a profile of this new profession, with the help of various industry leaders from academia, business and institutions. In short, we concluded that the main tasks of a data scientist are to identify data, transform it when incomplete, categorize it, prepare it for analysis, perform the analysis, visualize the results and communicate them.
The book summarizes the Chicago School of Data project which included a scan of our local data ecosystem from 2013 - 2014 and a convening we built on top of that scan. Typical with other Smart Chicago projects like CUTGroup and the Array of Things Civic Engagement Project, we also included “meta” sections in the Chicago School of Data book — specific details about how we executed our projects, what tools we used, and the logic or guiding principles behind our program design decisions.
http://www.chicagoschoolofdata.com/
Presentation from a panel discussion on the business case for HR in the virtual world at a Human Resources seminar in Boston in January 2009. Panelists were from Duke CE, Duke, IBM, and the Stockholm School of Economics. Please note that part of the panel discussion included a tour to various places in SL.
There has been very little analysis of big data ethics from an Ignatian or Catholic Social Thought point of view. The Jesuit tradition, with its focus on persons and community, as well as the CST tradition, certainly provides some direction for navigating these difficult Big Data questions.
Communications of the Association for Information SystemsV.docxmonicafrancis71118
Communications of the Association for Information Systems
Volume 34 Article 65
5-2014
Tutorial: Big Data Analytics: Concepts,
Technologies, and Applications
Hugh J. Watson
University of Georgia, [email protected]
Follow this and additional works at: http://aisel.aisnet.org/cais
This material is brought to you by the Journals at AIS Electronic Library (AISeL). It has been accepted for inclusion in Communications of the
Association for Information Systems by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact
[email protected]
Recommended Citation
Watson, Hugh J. (2014) "Tutorial: Big Data Analytics: Concepts, Technologies, and Applications," Communications of the Association
for Information Systems: Vol. 34, Article 65.
Available at: http://aisel.aisnet.org/cais/vol34/iss1/65
http://aisel.aisnet.org/cais?utm_source=aisel.aisnet.org%2Fcais%2Fvol34%2Fiss1%2F65&utm_medium=PDF&utm_campaign=PDFCoverPages
http://aisel.aisnet.org/cais/vol34?utm_source=aisel.aisnet.org%2Fcais%2Fvol34%2Fiss1%2F65&utm_medium=PDF&utm_campaign=PDFCoverPages
http://aisel.aisnet.org/cais/vol34/iss1/65?utm_source=aisel.aisnet.org%2Fcais%2Fvol34%2Fiss1%2F65&utm_medium=PDF&utm_campaign=PDFCoverPages
http://aisel.aisnet.org/cais?utm_source=aisel.aisnet.org%2Fcais%2Fvol34%2Fiss1%2F65&utm_medium=PDF&utm_campaign=PDFCoverPages
http://aisel.aisnet.org/cais/vol34/iss1/65?utm_source=aisel.aisnet.org%2Fcais%2Fvol34%2Fiss1%2F65&utm_medium=PDF&utm_campaign=PDFCoverPages
mailto:[email protected]>
Volume 34 Article 65
Tutorial: Big Data Analytics: Concepts, Technologies, and Applications
Hugh J. Watson
Department of MIS, University of Georgia
[email protected]
We have entered the big data era. Organizations are capturing, storing, and analyzing data that has high volume,
velocity, and variety and comes from a variety of new sources, including social media, machines, log files, video,
text, image, RFID, and GPS. These sources have strained the capabilities of traditional relational database
management systems and spawned a host of new technologies, approaches, and platforms. The potential value of
big data analytics is great and is clearly established by a growing number of studies. The keys to success with big
data analytics include a clear business need, strong committed sponsorship, alignment between the business and
IT strategies, a fact-based decision-making culture, a strong data infrastructure, the right analytical tools, and people
skilled in the use of analytics. Because of the paradigm shift in the kinds of data being analyzed and how this data is
used, big data can be considered to be a new, fourth generation of decision support data management. Though the
business value from big data is great, especially for online companies like Google and Facebook, how it is being
used is raising significant privacy concerns.
Keywords: big data, analytics, benefits, architecture, platforms, privacy
Volume 34, .
T
E
D
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W
ile
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V
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ua
liz
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g
D
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ls
1
Statistics: Visualizing Data
Introductory Essay from the Locks
The Reality Today
All of us now are being blasted by information design. It's being poured into our eyes
through the Web, and we're all visualizers now; we're all demanding a visual aspect to
our information… And if you're navigating a dense information jungle, coming across
a beautiful graphic or a lovely data visualization, it's a relief, it's like coming across a
clearing in the jungle. –David McCandless
In today’s complex ‘information jungle,’ David McCandless observes that “Data is the new soil.”
McCandless, a data journalist and information designer, celebrates data as a ubiquitous resource
providing a fertile and creative medium from which new ideas and understanding can grow.
McCandless’s inspiration, statistician Hans Rosling, builds on this idea in his own TEDTalk with his
compelling image of flowers growing out of data/soil. These ‘flowers’ represent the many insights that
can be gleaned from effective visualization of data.
We’re just learning how to till this soil and make sense of the mountains of data constantly being
generated. As Gary King, Director of Harvard’s Institute for Quantitative Social Science says in his New
York Times article “The Age of Big Data”:
“It’s a revolution. We’re really just getting under way. But the march of quantification,
made possible by enormous new sources of data, will sweep through academia,
business and government. There is no area that is going to be untouched.”
How do we deal with all this data without getting information overload? How do we use data
to gain real insight into the world? Finding ways to pull interesting information out of data can
be very rewarding, both personally and professionally. The managing editor of Financial Times
observed on CNN’s Your Money: “The people who are able to in a sophisticated and practical
way analyze that data are going to have terrific jobs." Those who learn how to present data in
effective ways will be valuable in every field.
T
E
D
|
W
ile
y
V
is
ua
liz
in
g
D
at
a
In
st
ru
ct
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M
at
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ia
ls
2
Many people, when they think of data, think of tables filled with numbers. But this long-held notion is
eroding. Today, we’re generating streams of data that are often too complex to be presented in a
simple “table.” In his TEDTalk, Blaise Aguera y Arcas explores images as data, while Deb Roy uses
audio, video, and the text messages in social media as data.
Some may also think that only a few specialized professionals can draw insights from data. When we
look at data in the right way, however, the results can be fun, insightful, even whimsical--and accessible
to everyone! Who knew, for example, that there are more relationship break-ups on Monday than on
any other day of the week, or that ...
"Scope, Scale, Speed" -- for the Journal of the American Association of Schoo...Michael Edson
Text (and a few, adapted/simplified graphics) of an article in the May/June 2013 issue (Volume 41, No. 5) of Knowledge Quest, the journal of the American Association of School Librarians. I have included a few adapted /simplified graphics from the article, and I have added hyperlinks and an update/note or two. The original publication was sent to 7,000 school libraries and members of the American Association of School Librarians, and it is also available via several research databases.
The article is published in Knowledge Quest as CC-BY
Creating a Data-Driven Government: Big Data With PurposeTyrone Grandison
The U.S. Department of Commerce collects, processes and disseminates data on a range of issues that impact our nation. Whether it's data on the economy, the environment, or technology, data is critical in fulfilling the Department's mission of creating the conditions for economic growth and opportunity. It is this data that provides insight, drives innovation, and transforms our lives. The U.S. Department of Commerce has become known as "America's Data Agency" due to the tens of thousands of datasets including satellite imagery, material standards and demographic surveys.
But having a host of data and ensuring that this data is open and accessible to all are two separate issues. The latter, expanding open data access, is now a key pillar of the Commerce Department's mission. It was this focus on enhancing open data that led to the creation of the Commerce Data Service (CDS).
The mission at the Commerce Data Service is to enable more people to use big data from across the department in innovative ways and across multiple fields. In this talk, I will explore how we are using big data to create a data-driven government.
This talk is a keynote given at the Texas tech University's Big Data Symposium.
Fall 2014 Impact Magazine, School of Business and Economics at Michigan TechLynn Makela
Michigan Tech's School of Business and Economics Impact magazine. A semi-annual alumni publication produced in collaboration with the School and University Marketing and Communications.
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 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).
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.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
2.
¡ Intimate
Retailer
True
&
Co
has
gathered
7
million
data
points
¡ Renaissance
Learning
has
more
than
2.6
billion
data
points
on
student
learning
¡
Body
Labs
constructs
avatars
from
a
database
of
3D
scans
3.
4.
5. ¡ How
are
companies
collecting
data
to
better
understand
the
mind
and
body?
¡ What
are
some
unique
challenges
in
collecting
this
data?
¡ What
are
the
future
possibilities
for
data
that’s
mapping
our
minds
and
bodies?
6. Rick
is
a
former
TIME,
LIFE,
and
National
Geographic
photographer
and
co-‐creator
of
the
popular
"Day
in
the
Life"
book
series.
He
co-‐
authored
The
Human
Face
of
Big
Data,
which
focused
on
humanity's
new
ability
to
collect,
analyze,
triangulate
and
visualize
vast
amounts
of
data
in
real
time.
“You’re
getting
depth
and
perspective,
3D
vision.
That’s
what
Big
Data
is,
not
simply
more
information
but
a
new
way
to
see
or
extract
meaning
from
a
sea
of
information.”
–
Rick
Smolan
7. Jack
Lynch
is
the
CEO
of
Renaissance
Learning,
a
learning
analytics
company
with
a
presence
in
one
third
of
US
schools.
Acquired
last
spring
for
$1.1
billion
by
private
equity
Uirm
Hellman
&
Friedman,
Renaissance
is
using
more
than
2.6
billion
anonymized
data
points
on
student
learning
to
build
the
DNA
map
for
education.
“We
have
probably
the
largest
data
set
of
student
learning
in
the
world
-‐
2.6
billion
data
points
in
student
learning.”
–
Jack
Lynch
8. Michelle
is
the
co-‐founder
and
CEO
of
online
intimate
apparel
brand
True&Co.
As
the
Uirst
female
investor
at
Bain
Capital
Ventures,
Michelle
developed
a
passion
for
technology
ventures
and
e-‐
commerce,
and
worked
closely
with
multiple
startups
including
Rent
The
Runway,
LinkedIn
and
EdgarOnline.
The
6,000
different
body
types
we
identiOied
is
way
more
complex
than
anything
we
anticipated.
-‐Michelle
Lam
9. Eric
Rachlin,
co-‐founder
of
Body
Labs,
helps
create.
3D
human
body
models
for
retail,
gaming,
sporting
equipment,
and
custom
clothing
designs.
Eric
received
his
PhD
in
computer
science
from
Brown
University.
“Data
is
just
numbers,
but
when
numbers
become
a
model,
they
become
much
more
powerful.”
–
Eric
Rachlin