Shankar Vedantam keynote

Shankar Vedantam talks about the part of our brain that influences, unconsciously, the way we behave and make decisions. Mr. Vedantam says that this hidden brain impacts the way we vote, shapes the way we respond to mass tragedies, and aids in indoctrinating suicide bombers. He spoke at Harvard Book Store.

Washington Post columnist Shankar Vedantam discusses his book The Hidden Brain: How Our Unconscious Minds Elect Presidents, Control Markets, Wage Wars, and Save Our Lives. The hidden brain is Vedantam's shorthand for a host of brain functions, emotional responses, and cognitive processes that happen outside of our conscious awareness, but that have a decisive effect on how we behave. This lecture was presented by the Harvard Book Store and recorded on 2/9/10. View more lectures at:

Spitfire Strategies and the Communications Network are proud to present NPR's Shankar Vedantam in this installment of the Science of Communications. Vedantam's reporting focuses on the human brain and social sciences. In this presentation, he helps explain how the Hidden Brain influences decision making.

From the 2014 Strata + Hadoop World conference in San Jose, a keynote from Jeffrey Heer, Co-Founder of Trifacta: Charting a Path Forward: The Future of Data Visualization.

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About Jeffrey Heer (Trifacta | University of Washington):
Co-Founder of Trifacta Inc. Computer Science Professor at UW. Data, visualization & interaction.

Diversity and Inclusion consultant Scott Horton shares a revealing exercise with a group of managers. They learn how their hidden biases might be unintentionally leading them to promote the careers of people like themselves. Could the people you TRUST be an indicator of your unconscious biases? CONTACT us at [email protected] and visit us at DeltaConceptsInc.com

In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

From the 2014 Strata Conference + Hadoop World in New York City.

Software and the rise of cloud services have given rise to revolutionary new economies – creating new markets for everything from self-published books, music and videos to mobile apps. Only a few years ago, it would have been hard to imagine developers authoring a million apps for smartphones. But that’s history. Cloud-centric economies are permanently changing the way people author and create in the knowledge economy – whether it be authors or developers – and soon, even data scientists. Joseph Sirosh will share his conviction that the next big software economy will be the Data Science Economy – one where data scientists build predictive models and intelligent services that can be published and monetized as easily as apps for the mobile phone.

About Joseph Sirosh:
I am a Corporate Vice President at Microsoft, and head the Information Management and Machine Learning group. Our talented team of scientists and engineers are developing Cloud ML services and tools to transform data at scale into intelligence. We are taking the wealth of ML capabilities in Microsoft Research and Product Groups and making it available commercially on Azure. Our first-class ML algorithms, services and tooling will help developers build amazing next-generation ML apps in the cloud and help ML become pervasive across a wide range of future scenarios. Prior to Microsoft I worked at Amazon as VP for Global Inventory Platform and CTO of the core retail business and I was VP of R&D; at Fair Isaac Corporation before that. I am very passionate about ML and its applications and have been active in the field since 1990.

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From the 2014 Strata Conference + Hadoop World in New York City, M. C. Srivas's keynote, What Would Google Do? Understanding the Future of Big Data.

Google knows what it takes to build data-driven businesses. Over the years, Google has faced many technology scaling challenges and answered the call with innovations for big data, as well as big data center compute, big networking and big storage. Google inspired Hadoop and many other innovation in the market. Luckily, we can understand “what’s next” easily because Google sends us postcards from the future. If you want to know what’s coming next in big data, just ask yourself, “what would Google do?”

This keynote is sponsored by MapR Technologies.

About M. C. Srivas:
Srivas is CTO and Founder of MapR Technologies. Srivas ran one of the major search infrastructure teams at Google where GFS, BigTable and MapReduce were used extensively. He wanted to provide that powerful capability to everyone, and started MapR on his vision to build the next-generation platform for semi-structured big data. His strategy was to evolve Hadoop and bring simplicity of use, extreme speed and complete reliability to Hadoop users everywhere, and make it seamlessly easy for enterprises to use this powerful new way to get deep insights. That vision is shared by all at MapR. Srivas brings to MapR his experiences at Google, Spinnaker Networks, Transarc in building game-changing products that advance the state of the art.

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- Daniel Davis interviews and films Dr John Omaha creator of Affect Centered Therapy in Santa Rosa, California, USA. John explains how to change the subconscious mind which is the hidden part of our brains. Healthy emotional regulation is critical to having intimate relationship and success at work.

From the 2014 Strata Conference + Hadoop World in New York City, Rana El Kaliouby's keynote The Power of Emotions: When Big Data meets Emotion Data.

Emotions drive every aspect of our lives – from our health and wellbeing to our actions and decisions. For the first-time ever, we are now able to capture consumer emotions globally and at scale, allowing us to answer questions such as: are women really more expressive than men, which country smiles the most, what drives virality in video and which emotions in advertisements increase product sales. Millions of emotion data points also present a unique opportunity to improve a machine’s ability to read human emotions. This keynote will share insights from the world’s largest repository of consumer emotions and present the challenges and opportunities that this data presents for machine learning as well as data mining and visualization.

About Rana El Kaliouby:
Rana el Kaliouby, Ph.D., is the Chief Science Officer and Co-founder of Affectiva, the leading experts in consumer emotion analytics and insights. She invented the company’s award-winning, automated facial coding technology, Affdex, used by brands and market researchers such as Coke, Unilever, Mars, Millward Brown, InsightExpress and eBuzzing. Previously Kaliouby was a research scientist at MIT.

Rana’s work has been featured in numerous publications including Reuters, Wired, Forbes, FastCompany, The Wall Street Journal and The New York times, and recognized by Entrepreneur as one of the “7 Most Powerful Women To Watch In 2014”. She was inducted into the “Women in Engineering” Hall of Fame and is the recipient of the 2012 Technology Review’s “Top 35 Innovators Under 35” Award, the 2006 Global Women and Inventors and Innovators Network Award, and National Science Foundation grants. Rana holds a BSc and MSc in computer science from the American University in Cairo and a Ph.D. from the computer laboratory, University of Cambridge.

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From the 2014 Strata Conference + Hadoop World in New York City.

There are two essential skills for the data scientist: engineering and statistics. A great many data scientists are very strong engineers but feel like impostors when it comes to statistics. In this talk John will argue that the ability to program a computer gives you special access to the deepest and most fundamental ideas in statistics. John’s goal is to convince the non-statistician engineers in the audience that the road to statistical fluency is much, much shorter than they think.

About John Rauser:
John has been extracting value from large datasets for over 20 years at hedge funds, small data-driven startups, Amazon, and now Pinterest. He has deep experience in machine learning, data visualization, on-line experimentation, website performance and real-time fault analysis. An empiricist at heart, “Just do the experiment!” is his favorite call to arms.

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From the 2014 Strata Conference + Hadoop World in New York City, Paul Zikopoulos's keynote A Word Too Much Repeated Falls Out of Being - So Why is Big Data Being Talked About so Much?

“A word too much repeated falls out of being” once wrote the poet A.R. Ammons. Well, credit to the term “Big Data” because it’s hanging in there – but surely too much repeated. Learn how this overused term is a confluence of technologies – some that have been around for a while, some that are relatively new, while others are coming down the pipe or not even invented yet. In this session you’ll see an actual application that builds on in-place existing technologies such as Hadoop to deliver understandable results. You’ll hear about a story where analytics at rest was applied to forms of unstructured data using a simple SQL-like development environment, and findings were promoted to the frontier of the business to score, in real time, monetizable intent, assess reputations, predict health outbreaks, and more. You’ll hear why Cognitive is the game changer and learn about attribute extraction for 360 degree master data around an entity. As a added bonus, the speaker is going to try to deliver this session without once mentioning ‘that word’.

This keynote is sponsored by IBM.

About Paul Zikopoulos:
Competitive Database and Big Data teams. Paul is an award winning writer and speaker with more than 20 years of experience in Information Management and is seen as a global expert in Big Data and Analytic technologies. Independent groups often recognize Paul as a thought leader with nominations to SAP’s “Top 50 Big Data Twitter Influencers”, Big Data Republic’s “Most Influential”, Onalytica’s “Top 100”, and AnalyticsWeek “Thought Leader in Big Data and Analytics” lists. Technopedia listed him a “Big Data Expert to Follow” and he was consulted on the topic of Big Data by the popular TV show “60 Minutes”. Paul has written more than 350 magazine articles and 18 books, some of which include “Hadoop for Dummies”, “Harness the Power of Big Data”, “Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data”, “New Dynamic In-Memory Analytics for the Era of Big Data: DB2 10.5”, “DB2 pureScale: Risk Free Agile Scaling”, “DB2 Certification for Dummies”, “DB2 for Dummies”, and more. In his spare time, he enjoys all sorts of sporting activities, including running with his dog Chachi, swimming, and overall fitness training (he no longer worries about avoiding punches in his MMA training as an eventual understanding that he became too slow for full contact forced him into retirement). Ultimately, Paul is trying to figure out the world according to Chloë—his daughter.

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From the 2014 Strata Conference + Hadoop World in New York City.

The past few decades have delivered us incredible technical capabilities. Today we can profit from the vast quantities of data that our institutions generate. Yet with these new capabilities come risks. Data can be abused. As a society, we now begin the process of deciding how to limit this new power. The policies and practices we develop in the next few years will set the stage for the coming century. In this presentation Eli Collins, Cloudera’s Chief Technologist, will discuss how we might both reap the benefits of data while avoiding its perils.

About Eli Collins:
Eli is Cloudera’s Chief Technologist, currently focused on new technology introduction and strategy. He previously lead the team responsible for Cloudera’s Hadoop distribution (CDH), and is an Apache Hadoop committer and PMC member. You can find him on Twitter at @elicollins.

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From the 2014 Strata Conference + Hadoop World in New York City, a keynote on data visualization from Miriah Meyer, Assistant Professor of Computer Science, University of Utah.

About Miriah Meyer:
Miriah is a USTAR assistant professor in the School of Computing at the University of Utah and a faculty member in the Scientific Computing and Imaging Institute. Her research focuses on the design of visualization systems for helping scientists make sense of complex data. She obtained her bachelors degree in astronomy and astrophysics at Penn State University, and earned a PhD in computer science from the University of Utah. Prior to joining the faculty at Utah Miriah was a postdoctoral research fellow at Harvard University and a visiting scientist at the Broad Institute of MIT and Harvard.

Miriah was named both a TED Fellow and a PopTech Science Fellow for 2013, as well as awarded a Microsoft Research Faculty Fellowship in 2012. She has also been included on MIT Technology Review’s TR35 list of the top young innovators and Fast Company’s list of the 100 most creative people. She is the recipient of a NSF/CRA Computing Innovation Fellow award, and an AAAS Mass Media Fellowship that landed her a stint as a science writer for the Chicago Tribune.

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From the 2014 Strata Conference + Hadoop World in New York City, the co-founder and CTO of Cloudera discusses the multi-in, multi-out company's direction, the collaborative open-source nature of the industry, and the cloud era.

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From the 2014 Strata Conference + Hadoop World in New York City.

We are being watched – by companies, by the government, by our neighbors. Technology has made powerful surveillance tools available to everyone. And now some of us are investing in counter-surveillance techniques and tactics. Julia Angwin discusses how much she has spent trying to protect her privacy, and raises the question of whether we want to live in a society where only the rich can buy their way out of ubiquitous surveillance.

About Julia Angwin:
Julia Angwin is an award-winning investigative journalist at the independent news organization ProPublica.

From 2000 to 2013, she was a reporter at The Wall Street Journal, where she led a privacy investigative team that was a Finalist for a Pulitzer Prize in Explanatory Reporting in 2011 and won a Gerald Loeb Award in 2010. Her book, Dragnet Nation: A Quest for Privacy, Security and Freedom in a World of Relentless Surveillance, was published by Times Books in 2014.

In 2003, she was on a team of reporters at The Wall Street Journal that was awarded the Pulitzer Prize in Explanatory Reporting for coverage of corporate corruption. She is also the author of “Stealing MySpace: The Battle to Control the Most Popular Website in America” (Random House, March 2009).

She earned a B.A. in mathematics from the University of Chicago, and an MBA from the Graduate School of Business at Columbia University.

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Learn how you can use data and science to make work better at

Guy Raz, host and editorial director of TED Radio Hour, talks about how ubiquitous technology and the emergence of smartphones affect brains and relationships.

Americans spend five hours in front of devices and children spend seven hours in front of screens every day, but the long-term consequences aren’t understood. These devices can enhance life but they can also negatively impact memory, attention spans, and interactions with others. If technology offers both promise and peril, Raz suggests that technology must also play a role in preventing brains from going astray.

This video was recorded at the re:Work 2016 event.

From the 2014 Strata Conference + Hadoop World in New York City, Karen Moon's keynote Style Stalking: The Stochastic Patterns that Drive Fashion Trends.

It’s no secret that rapidly evolving consumer preferences present a perpetual challenge for brands and retailers that need to forecast accurately to stay in business. When consumers repel trends that are “so last season”, how does one draw patterns from the appropriate signals? Karen will discuss the characteristics of unstructured data that makes identifying and synthesizing fashion trends particularly challenging and how getting it right can be a competitive advantage.

About Karen Moon:
Karen is Co-founder and CEO of Trendalytics, a style-centric visual data platform that measures consumer engagement with merchandise trends. With over twelve years of experience in retail and technology, Karen worked with companies across the supply chain – department stores, luxury retailers and independent designers. At Goode Partners, she executed the firm’s investment in SkullCandy (NASDAQ: SKUL) and worked on the turnaround of a luxury specialty retailer. Previously she worked in Gap Inc.’s Corporate Strategy group, where she assessed acquisition and new retail concept opportunities such as Piperlime.com. Karen started her career in investment banking at Goldman Sachs & Co. where she executed over $1 billion in technology and media transactions.

Karen holds an M.B.A. from Harvard Business School and a B.A. from UCLA where she graduated Summa Cum Laude. Her research at Harvard included studies in multi-channel retailing, luxury diffusion brands and supply chain innovation for emerging designers. Karen initially pursued a B.A. in Fashion Design at Otis College of Art & Design, where she was a Grant recipient and recognized on the Dean’s List. She’s been featured on the Wall Street Journal, Forbes and other publications.

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From the 2014 Strata Conference + Hadoop World in New York City, an interview with the Chief Architect of Database Technology at Cloudera on the origins of the company's Impala project, how it differs from other SQL on Hadoop engines, and what to expect in version 2.0.

About Marcel Kornacker:
Tech lead at Cloudera for new products. Graduated in 2000 with a PhD in databases from UC Berkeley, followed by engineering jobs at a few database-related startup companies. Marcel joined Google in 2003, where he worked on several ads serving and storage infrastructure projects. His last engagement was as the tech lead for the distributed query engine component of Google’s F1 project.

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Ever see a death-defying stunt and wonder, How did he practice that without getting killed? By peering into the layered nature of practice through the lens of what high-level pro skateboarders do, we'll investigate how the nuanced way in which they go about it can be the biggest determinant of success— especially at groundbreaking levels. Tuning the dynamic balance of the analytic methods by which we learn with the internal sense or feel for the whole of what we're learning is an art, specific to the individual as well as the task. The better we tune our practice, the more practice will make perfect.

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From the 2014 Strata Conference + Hadoop World in New York City.

The world is a rapidly changing place, where time flies and technological innovations batter us fast and furiously. Hadoop is just nine years old; and just five years ago had nowhere near the audience, ecosystem, or impact it has now. No one was really talking of in-memory databases five years ago and now it is mainstream with SAP, IBM, Microsoft, and Oracle, all presenting offerings. What will the Big Data landscape look like in 2020, just 5 short years from now? Is Big Data to fade away? What will the market be? What role will Hadoop have in it? What about data science and predictive analytics? What impact will the skills shortage have? No industry will be untouched and changes in one industry will inevitably have a cascading effect on others. By 2020, just 5 short years hence, no industry will be anywhere near what it currently is. Come hear one perspective of the Big Data world five years from now.

This keynote is sponsored by SAP.

About John Schitka:
John Schitka, is a Solution Marketing Manager on the SAP Big Data Solution Marketing team. His focus in the SAP Big Data arena is largely on Hadoop and SAP HANA smart data access capabilities. A graduate of McMaster University, he holds an MBA from the University of Windsor. He has worked in product marketing and product management in the high tech arena for a number of years, taught at a private college and has co-authored a number of published text books. He has a true love of technology and all that it has to offer the world.

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From the 2014 Strata Conference + Hadoop World 2014 in New York City.

About Mike Olson:
Mike Olson (@mikeolson) co-founded Cloudera in 2008 and served as its CEO until 2013 when he took on his current role of chief strategy officer (CSO.) As CSO, Mike is responsible for Cloudera’s product strategy, open source leadership, engineering alignment and direct engagement with customers. Prior to Cloudera Mike was CEO of Sleepycat Software, makers of Berkeley DB, the open source embedded database engine. Mike spent two years at Oracle Corporation as vice president for Embedded Technologies after Oracle’s acquisition of Sleepycat in 2006. Prior to joining Sleepycat, Mike held technical and business positions at database vendors Britton Lee, Illustra Information Technologies and Informix Software. Mike has a Bachelor’s and a Master’s Degree in Computer Science from the University of California, Berkeley.

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From Strata + Hadoop World 2015 in New York.
About Mike Olson (Cloudera):
Mike Olson co-founded Cloudera in 2008 and served as its CEO until 2013, when he took on his current role of chief strategy officer (CSO.) As CSO, Mike is responsible for Cloudera’s product strategy, open source leadership, engineering alignment, and direct engagement with customers. Prior to Cloudera Mike was CEO of Sleepycat Software, makers of Berkeley DB, the open source embedded database engine. Mike spent two years at Oracle Corporation as vice president for Embedded Technologies after Oracle’s acquisition of Sleepycat in 2006. Prior to joining Sleepycat, Mike held technical and business positions at database vendors Britton Lee, Illustra Information Technologies, and Informix Software. Mike has a bachelor’s and a master’s degree in computer science from the University of California, Berkeley.

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The Hidden Brain helps curious people understand the world – and themselves. Using science and storytelling, Hidden Brain's host Shankar Vedantam reveals the unconscious patterns that drive human behavior, the biases that shape our choices, and the triggers that direct the course of our relationships.

Topic of Discussion:
In the early 1980s, a couple of researchers wrote an article in The Atlantic that would have far reaching consequences. The article introduced a new idea about crime and policing. It was called Broken Windows. The idea was simple: A broken window is a sign of a neglected community, and a neglected community is a place where crime can thrive. The researchers said, if police fixed the small problems that created visible signs of disorder, the big ones would disappear. Today, we explore how ideas sometimes get away from those who invented them.. And then are taken to places that were never intended.

From the 2014 Strata Conference + Hadoop World in New York City.

Becoming an organization that can make agile decisions from agile data requires agile analytics. Decision makers need to be able to shorten the length of time it takes from Question to Answer. This means analytics need to move closer to where the decisions are being made: The Board Room, a physician while he’s with a patient, TSA agent at an airport. Being able to quickly react as your customer changes behavior, your patient’s health declines, as new threats emerge. High performance analytics environments, like Hadoop, and dynamic visualizations take the analytics out of the back office and put them in the hands of the decision makers.

This session is sponsored by SAS.

About Rachel Hawley:
Rachel assists customers in defining their business problems and objectives, and using SAS advanced analytics solutions to help them reach their goals. Her main focuses are SAS In-Memory Analytics solutions and SAS Decision Management. She holds a Bachelors in Mathematics from the University of Rochester and Masters in Operations Research from North Carolina State University.

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Scientific American Frontiers Host, Alan Alda, speaks with Dr. Mahzarin R. Banaji (Harvard University) and Dr. Brian Nosek (University of Virginia) on how the subconscious mind can influence decision making. They discuss several experiments that use the Implicit Association Test (IAT) to reveal hidden gender and racial biases.

Additional Research Information
Updated (05/15/2009):

Scientific American: The Implicit Prejudice


Project Implicit®


Copies of Technical Research Papers can be obtained at:


The Test


Harvard Science: Prejudices we won't admit


WashingtonPost.com: See No Bias


University of Washington: The Unconscious Roots of Racism


University of Washington: Prejudice affects 90 to 95 percent of people


University of Michigan Health System: Your Child & Television


The Media Awareness Network: Kids & Racial Stereotypes


Gladwell.com: The Second Mind (Blink)

As Hadoop and the surrounding projects & vendors mature, their impact on the data management sector is growing. Amr will talk about his views on how that impact will change over the next five years. How central will Hadoop be to the data center of 2020? What industries will benefit most? Which technologies are at risk of displacement or encroachment?

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About Amr Awadallah (Cloudera, Inc.):
Amr is Co-Founder and CTO of Cloudera. Prior to Cloudera Amr was an Entrepreneur in Residence at Accel Partners. Before that he served as Vice President of Engineering at Yahoo!, and led a team that used Apache Hadoop extensively for data analysis and business intelligence across the Yahoo! online services. Amr joined Yahoo! after they acquired his first startup, VivaSmart, in mid-2000. Amr holds a Bachelor’s and Master’s degrees in Electrical Engineering from Cairo University, Egypt, and a Doctorate in Electrical Engineering from Stanford University.

From the 2014 Strata Conference + Hadoop World in New York City, an interview with Cloudera's Director of Product Management about how the data industry is growing, how its users will evolve, and more.

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Hardwiring Happiness : The Hidden Power of Everyday Experiences on the Modern Brain. 
How to overcome the Brain's Negativity Bias.
Rick Hanson is a neuropsychologist and the author of Hardwiring Happiness: The New Brain Science of Contentment, Calm, and Confidence, best selling author of Buddha's Brain, founder of the Wellspring Institute for Neuroscience and Contemplative Wisdom and an Affiliate of the Greater Good Science Center at UC Berkeley, he's been an invited speaker at Oxford, Stanford, and Harvard, and taught in meditation centers worldwide.

In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

Discussing the challenge of complex data analysis with Ayasdi's Gurjeet Singh at the the 2015 Strata + Hadoop World conference in San Jose.
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Hadoop creator and Cloudera chief architect Doug Cutting talks with Tim O'Reilly about the risks of open source software being absorbed by big companies and the protections that come with the Apache license.

About Doug Cutting:
Doug (@cutting) is the founder of numerous successful open source projects, including Lucene, Nutch, Avro, and Hadoop. Doug joined Cloudera in 2009 from Yahoo!, where he was a key member of the team that built and deployed a production Hadoop storage and analysis cluster for mission-critical business analytics. Doug holds a Bachelor’s degree from Stanford University and sits on the Board of the Apache Software Foundation.

About Tim O'Reilly:
Tim O’Reilly is the founder and CEO of O’Reilly Media. His original business plan was “interesting work for interesting people,” and that’s worked out pretty well. He publishes books, runs conferences, invests in early-stage startups, urges companies to create more value than they capture, and tries to change the world by spreading and amplifying the knowledge of innovators.

Tim is also a partner at O’Reilly AlphaTech Ventures, a founder and board member of Safari Books Online and Maker Media, and on the boards of Code for America and PeerJ.

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From the 2014 Strata Conference + Hadoop World in New York City.

What possessed an architect to boil down the beauty of pasta to a few bare formulae? Pasta isn’t exactly big data, but to the average person it’s big enough: no one knows how many shapes there are out there, or what their exact name might be. To sort this set out, we need more than the local knowledge ethnographers possess. In this presentation, George L. Legendre, principal of IJP Architects and faculty at Harvard graduate School of Design, will show how the mathematical equations of pasta define the ultimate taxonomy of the genre.

About George Legendre:
George is a principal of IJP, an architectural firm which explores the natural intersections between space, mathematics and computation. IJP has built Henderson Waves, a 1000-foot long bridge in Singapore designed with a single equation, and was shortlisted for the MoMA PS1 Young Architect program pavilion in 2011. George holds a Masters degree from Harvard Graduate School of Design and serves there as Associate Professor in Practice.

His work has been profiled in Wired, the New Scientist, the New York Times, The Financial Times, Frankfurter Allgemeine, The Wall Street Journal, GQ Russia, NPR, Oprah.com, and CBS on Sunday.

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From the 2014 Strata Conference + Hadoop World in New York City, an interview with the founder and CEO of ClearStory Data on interactive data storyboards, making data collaboration easier, and the future of ClearStory.

About Sharmila Shahani-Mulligan:
Sharmila has spent 18+ years building game-changing software companies in a variety of markets. She has been EVP & CMO at numerous software companies, including Netscape, Kiva Software, AOL, Opsware, and Aster Data. She drove the creation of several multi-billion dollar market categories, including application servers, data center automation and big data analytics. She is on the board of Hadapt and Lattice Engines, advisor to numerous companies, large and small, and an active investor in early stage companies.


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From the 2014 Strata Conference + Hadoop World in New York City, an interview with IBM's VP of Big Data, Competitive, and Techsales on the importance and dangers of analytics and big data, IBM's Big Match, and more.

About Paul Zikopoulos:
Competitive Database and Big Data teams. Paul is an award winning writer and speaker with more than 20 years of experience in Information Management and is seen as a global expert in Big Data and Analytic technologies. Independent groups often recognize Paul as a thought leader with nominations to SAP’s “Top 50 Big Data Twitter Influencers”, Big Data Republic’s “Most Influential”, Onalytica’s “Top 100”, and AnalyticsWeek “Thought Leader in Big Data and Analytics” lists. Technopedia listed him a “Big Data Expert to Follow” and he was consulted on the topic of Big Data by the popular TV show “60 Minutes”. Paul has written more than 350 magazine articles and 18 books, some of which include “Hadoop for Dummies”, “Harness the Power of Big Data”, “Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data”, “New Dynamic In-Memory Analytics for the Era of Big Data: DB2 10.5”, “DB2 pureScale: Risk Free Agile Scaling”, “DB2 Certification for Dummies”, “DB2 for Dummies”, and more. In his spare time, he enjoys all sorts of sporting activities, including running with his dog Chachi, swimming, and overall fitness training (he no longer worries about avoiding punches in his MMA training as an eventual understanding that he became too slow for full contact forced him into retirement). Ultimately, Paul is trying to figure out the world according to Chloë—his daughter.

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We have all heard of the phrase “beauty is skin deep”, suggesting skin has a rather superficial role in who we are. But what if that is not true? Claudia Aguirre tells us about the hidden brain in our skin and the surprising things it reveals about our mental health.

Claudia Aguirre is a Neuroscientist, Skincare Expert, Spokesperson and Lecturer, UCLA Alumni, and TEDMED contributor.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

Hidden Brains is a leading mobile and web development company serving a huge client base around the globe. It employs a strong and talented team of professionals providing the best mobile and web development services in the industry...

Portfolio :

For more visit now!

Dr. Ron Bonnstetter, senior vice president of research and development at Target Training International, Ltd. discusses what brought him to TTI, and his research with EEG brain scans and human behavior, wellness, and performance over the last two years. As Dr. Bonnstetter notes, We are starting to recognize that we can pull baseline information [directly from the brain] to determine mindsets, how you feel about self, how you feel about life. All of this is very exciting.

Source:


Topic of Discussion:
In the months since the presidential election, many have noted that lots of Americans live in bubbles — echo chambers filled with the voices of people who mostly agree with us. Sociologist Arlie Hochschild felt this long before the rise of Donald Trump, and five years ago she went on a mission to understand the other side. She left her own liberal bubble in Berkeley, California for a conservative one, deep in the Louisiana bayou.

Hosted by: Shankar Vedantam
Podcast Radio Network: Real Revolution Radio 2.0
Network Link: realrevolutionradio.com
Archives: realrevolutionradioarchives.com

Disclaimer:
REAL REVOLUTION RADIO 2.0 is an ASCAP & BMI Licensee. No changes were made to this broadcast and is utilized for non-commercialized purposes. Except where otherwise noted, this work is additionally licensed under a Creative Commons Attribution 4.0 International License. You can obtain details to this Creative Commons License at the following LINK:

Unconscious biases are created and reinforced by our environments and experiences. Our mind is constantly processing information, oftentimes without our conscious awareness. When we are moving fast or lack all the data, our unconscious biases fill in the gaps, influencing everything from product decisions to our interactions with coworkers. There is a growing body of research – led by scientists at Google – surrounding unconscious bias and how we can prevent it from negatively impacting our decision making.

Sanjay Mathur, Founder and CEO of Silicon Valley Data Science, discussed data driven businesses and recently launched Silicon Valley Data Science plans live with theCUBE co-hosts John Furrier and Dave Vellante, live at the recently concluded 2013 Hadoop Summit.

Silicon Valley Data Science is striving to bring together a team of engineers, data scientists and platform experts in order to “solve problems for data oriented companies,” Mathur explained. The company’s current team has deep background in both data science and engineering, having brought together people from companies as Accenture and Walmart. The main purpose is to create a team of experts that can work well together.

Asked if there were many data driven companies, Mathur said “everyone is data driven,| everyone could be using data for better analytics and business decisions “It’s a question of how to drive your business forward. If you don’t use data today, you’re going to be at a disadvantage.”
Teaching customers



To explain the company’s offering to business customers and convey the value data can bring, Mathur said that one needed to be familiar with today’s tools and technologies and how to apply them. The second fundamental requirement is “to understand the customer’s field. For us to be successful with customers, we have to educate them,” while focusing on delivering a solution to them.

“We are going to teach our customers how to do what they are doing better,” Mathur said. A company should focus focus on understanding technology and how it will be evolving. The second part of the process is to understand how to use data. It will take time to help companies become data drive, as for a company that hasn’t been using data, “they are on a 10 year journey to be data driven.”

“The bigger you get, the more you have to take your people and make them interchangeable,” Mathur explained, asked about his company’s competitive advantage. “We know we’re small,” thus the focus is to create teams of experts that work well together, and keep them together. The reason people choose to work in the company is that it lets them work well in a team and go from problem to problem. Launched in April 2013, the company is now approaching the 10 employee milestone, balancing between data scientists and engineers.

Asked to describe the typical engagement with a customer, Mathur said that they have been approached by all kinds of customers, but the main two categories that they fall into are either people from an architectural infrastructure that have a problem with their data, meaning it’s an infrastructure problem that needs solving, or those who know they should be using their data better, motivated by a business imperative that needs solving.

@thecube
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From the 2014 Strata Conference + Hadoop World in New York City, an interview with the CEO of Platfora on how the data industry has been changing year over year.

About Ben Werther:
Ben Werther is the Founder & CEO of Platfora. He founded the company in 2011 to realize his vision of how Big Data Analytics will transform the way to business can use data. Under Werther’s direction, Platfora has grown from an idea sketched on a napkin to one of the hottest enterprise startups in Silicon Valley and a leader of the Big Data Analytics category.

Designed for business users, the company’s product is the first visual self-service platform for line of business people to interactively uncover new opportunities that were once impossible across transaction, customer interaction, and machine data, at scale.

Werther has had an extensive track-record as a product visionary and strategic leader. Prior to Platfora, he was Vice President of Products for DataStax, where he shaped the company’s early enterprise and Hadoop strategy. Prior to DataStax, he was the head of product at Greenplum (through the EMC acquisition), and ran product strategy and product marketing for the company.

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Hear from NPR's Shankar Vedantam, an expert on the human mind who will share his recipe for connecting with customers.

Data Economy
May 15, 12 pm
Dr. DJ Patil (Office of Science and Technology Policy, White House)
Nimish Mehta (CEO & Co-Founder, Lumendata)

In this panel, the leading technologists lay out the evolving technology stack that underpins the big data revolution. We will discuss Hadoop, NoSQL, in-memory and other technical breakthroughs and buzzwords - and separate the two. In this panel of thought leaders, we will seek to go beyond the technology details to lay out the bigger picture of what the new big data stack consists of and how it impacts our economy and business.

Data analytics and machine learning are the drivers of the fourth industrial revolution. As technologists, we stand on the brink of incredible opportunity. Darren Strange explores the tremendous opportunity we have before us and asks: Will we be pioneers creating new possibilities or will we hold on to the past? What part will we each play in what is surely one of the most exciting times to be in computer science?

This keynote is sponsored by Google.

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From the 2014 Strata Conference + Hadoop World in New York City, an interview with the founders of P&L; Data on qualitative versus quantitative data, applying sociology to data, and observations from the show floor.

About Tricia Wang:
Tricia Wang is a global tech ethnographer. She founded P&L; Data, a research consultancy around data science and social science. Through extensive fieldwork in China and Mexico as a Fulbright Fellow and National Science Foundation Fellow, she has developed expertise on digital communities, leading to the formulation of an innovative sociological framework for understanding online behavior, The Elastic Self. She is also the cofounder of Ethnography Matters, a website showcasing ethnography’s importance in business contexts. She is currently an affiliate at the Berkman Center for Internet and Society at Harvard University. She is the owner of the an internet famous dog, #ellethedog.

About Matt LeMay:
Matt LeMay is the co-founder of P&L; Data, a research consultancy that integrates data science and social science. In his work as a technology communicator and curriculum designer, Matt has collaborated with General Assembly, Hyper Island, and Smith & Beta to develop and lead global data strategy and digital training workshops for companies like GE, Ogilvy & Mather, American Express, McCann Worldgroup, and Pfizer. Previously, Matt worked as Senior Product Manager at New York-based music startup Songza (acquired by Google), and Head of Consumer Product and Platform Manager at Bitly. Matt is also a musician, recording engineer, senior contributor to music website Pitchfork.com, and the author of a book about singer-songwriter Elliott Smith.

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