Learning by Disrupting with Data

Hear Part 1 of Stephen Dubner's Keynote session at #JOINData 2016

Stephen J. Dubner is an award-winning author, journalist, and radio and TV personality. He is best-known as co-author of the books in the Freakonomics series, including Freakonomics, SuperFreakonomics, Think Like a Freak and When to Rob a Bank. They have sold more than 7 million copies in more than 40 countries. Dubner is also the host of the Freakonomics Radio podcast, which gets 5 million downloads a month.

Hear Part 3 of Stephen Dubner's Keynote session at #JOINData 2016

Stephen J. Dubner is an award-winning author, journalist, and radio and TV personality. He is best-known as co-author of the books in the Freakonomics series, including Freakonomics, SuperFreakonomics, Think Like a Freak and When to Rob a Bank. They have sold more than 7 million copies in more than 40 countries. Dubner is also the host of the Freakonomics Radio podcast, which gets 5 million downloads a month.

Steven J. Dubner joined us in the Google London office to talk about his new book When to Rob a Bank.

Why don't flight attendants get tipped? If you were a terrorist, how would you attack? And why does KFC always run out of fried chicken?

Over the past decade, Steven D. Levitt and Stephen J. Dubner have published more than 8,000 blog posts on Freakonomics.com. Now the very best of this writing has been carefully curated into one volume, the perfect solution for the millions of readers who love all things Freakonomics.

Discover why taller people tend to make more money; why it's so hard to predict the Kentucky Derby winner; and why it might be time for a sex tax (if not a fat tax). You'll also learn a great deal about Levitt and Dubner's own quirks and passions. Surprising and erudite, eloquent and witty, Freaks and Friends demonstrates the brilliance that has made their books an international sensation.

Available on Google Play -

Levitt explains how he met high-end escort Allie, and how she came to teach his economics class at the University of Chicago.

Anika Kuesters Smith, Sales Engineering Manager at Looker, takes us through the process of connecting your data to Looker, generating a model, and exploring your data in Looker.

In this demo you'll learn about:

- Connecting your data to Looker
- Building out your data model
- Creating and sharing dashboards
- Generating and scheduling reports for various departments

Part 1 of Lloyd Tabb, Founder and CTO of Looker's #JOINData 2016 Keynote:

Lloyd Tabb kicks off his JOIN 2016 conference session with a discussion on the importance of language–especially how it relates to business and data. Hear his insights on SQL, and his vision for developing LookML which he sees as a language for creating language.

Learn more about LookML & Looker 4 here:

In this demo, Daniel Mintz, Chief Data Evangelist at Looker, provides a tour through the Looker data platform and explains how having readily accessible data can make you better at your job.

With Looker, anybody, no matter how technical, can ask questions of the data, and get correct, meaningful answers. And it lets them do that right in their browser, without having to wait in line.

With Looker, anyone can:

- Schedule Email Alerts & Notifications
- Explore Interactive Dashboards
- Drill into Granular Detail of a Query

This talk was given at a local TEDx event, produced independently of the TED Conferences. Co-founder of a pioneering company, Steve Fiehl disrupts education via the digital toolbox.


Steve Fiehl is the co-founder of Crossknowledge. After graduating from HEC Paris, he started his career in Asia then came back to France to become the Director of magazine and web content at the Lagardère Group.

Since 2000, the year Crossknowledge was created, Steve Fiehl has been managing the entire technological and educational innovation division. He simultaneously runs the network of experts, authors and professors in Management and Leadership, all gathered in the Crossknowledge Faculty. Passionate about the impact new technology is making on learning, he frequently takes part in the international discussion on the future of learning.

About TEDx, x = independently organized event 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)

Freakonomics Radio 6/14/17 - Evolution, Accelerated

A breakthrough in genetic technology has given humans more power than ever to change nature. It could help eliminate hunger and disease; it could also lead to the sort of dystopia we used to only read about in sci-fi novels. So what happens next? Help us meet the Freakonomics Radio listener challenge. If 500 of you become sustaining members at just $7/month before June 30th we'll unlock an additional $25,000 from the Tow Foundation. Become a member now!

Machine learning helps Riminder analyze job applications to find truly great candidates for any opening.

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TechCrunch is excited to announce the 19 startups pitching in the Startup Battlefield for TechCrunch Disrupt NYC 2017. Over the next three days on the most prestigious tech stage in the world, the Battlefield teams will compete for $50,000 and the coveted Disrupt Cup.

Watch more from Startup Battlefield here:

TechCrunch Disrupt is the world’s leading authority in debuting revolutionary startups, introducing game-changing technologies and discussing what’s top of mind for the tech industry’s key innovators.

Geoff Hinton is one of the first researchers who demonstrated the use of generalized backpropagation algorithm for training multi-layer neural nets and is an important figure in the deep learning, machine learning, computer vision, community. He is planning to divide his time between his Toronto university research and his work at Google.

LISNR encodes and sends data between devices using ultrasound, obviating the need for conventional networks.

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TechCrunch is excited to announce the 19 startups pitching in the Startup Battlefield for TechCrunch Disrupt NYC 2017. Over the next three days on the most prestigious tech stage in the world, the Battlefield teams will compete for $50,000 and the coveted Disrupt Cup.

Watch more from Startup Battlefield here:

TechCrunch Disrupt is the world’s leading authority in debuting revolutionary startups, introducing game-changing technologies and discussing what’s top of mind for the tech industry’s key innovators.

At Creative Market, employees of all technical levels are encouraged to ask and answer questions of the data to make the best decisions for the company.

With the Looker data platform, a centralized view of Creative Market's data allows anyone to quickly ask questions, interact with visualizations, and share findings.

Erin Franz, Alliances Analyst at Looker, takes us through a demo of how gaming analytics can be visualized and analyzed in the Looker data platform.

Learn more at Looker.com/

Tig Newman, Documentation Manager at Looker, takes us through Developer Mode in Looker and how to make changes to our LookML.

This mode accesses a completely separate version of your data model that only you can see and edit. Development mode enables you to make and test LookML changes without affecting business users, who as mentioned above, are using production mode.

Learn more about Developer mode at:

Don't just watch the industry change. Be a key part of the disruption. Danielle Dy Buncio, VIATechnik founder and president, urges industry stakeholders to be the ones that create and inspire progress in productivity, efficiency, and more.

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To you, it’s just a ride-sharing app that gets you where you’re going. But to an economist, Uber is a massive repository of moment-by-moment data that is helping answer some of the field’s most elusive questions.

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Eric’s talk outlines our diverse mentalities, ranging from arts and technology to education. It shows how we can embrace new methods of communication when it comes to learning in both education and business. It will show how analysing data can lead to the discovery of new ways to engage businesses and individuals in common themes.

Eric Hunter is the Director of Knowledge, Innovation & Technology Strategies at Bradford & Barthel and Executive Director of Spherical Models. He is on the editorial board for Managing Partner, and has recently published “The Sherlock Syndrome - Strategic Success through Big Data and the Darwinian Disruption” with the Ark Group. He is the recipient of ILTA’s 2010 ‘Knowledge Management Champion’ Distinguished Peer and ILTA’s 2010 ‘Innovative Member’ awards.

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

Backstage interview with Stephen J. Dubner - New York Times Bestselling Author, Freakonomics & SuperFreakonomics.

Data-Driven companies choose Looker as their single source of truth to access the data they need. Hear from companies like Gilt, Bonobos, DigitalOcean, and Avant on how data helps drive better decision making and the wide variety of ways they use data.

Learn more about how customers are using Looker at Looker.com/customers

Elan Looker, Sales Engineer at Looker, takes us through the process of setting up alerts in Looker.

Looker lets you schedule periodic delivery of a user-defined dashboard. You also can schedule delivery of a Look’s visualization or data in the form of an email, webhook, Amazon S3 bucket, or upload to an SFTP server.

Each saved Look or dashboard can have multiple schedules, and each user of that data has their own set of schedules. If a user edits or deletes one of their schedules, only their recipients will be impacted; other users might have other schedules related to that data.

Learn more about Scheduling Looks at:

Elan Looker, Sales Engineer at Looker, takes us through the process of scheduling data deliveries through a dashboard in Looker

Each saved Look or dashboard can have multiple schedules, and each user of that data has their own set of schedules. If a user edits or deletes one of their schedules, only their recipients will be impacted; other users might have other schedules related to that data.

Learn more about Scheduling Dashboards at:

Steve Ballmer, former Microsoft CEO, LA Clippers owner, and proud numbers guy, makes the case for looking under the hood at the data to better understand government. He previews USAFacts, a new initiative aimed at making government data more accessible and understandable. How well do you know the numbers behind government? Sign up at USAFacts.org to find out.

Steve Ballmer is co-founder and co-CEO of the Ballmer Group and owner of the Los Angeles Clippers. Ballmer retired as CEO of Microsoft in 2014 after 34 years at the company. The Ballmer Group’s philanthropic arm focuses on bettering outcomes for children and families in need and helping reduce the cycle of intergenerational poverty in America. Steve also leads USAFacts, a civics project seeking to ground political discussion in facts through presenting comprehensive, comprehensible, nonpartisan data about government activities. Ballmer earned an A.B. in mathematics and economics from Harvard, worked at Procter & Gamble, and attended Stanford’s Graduate School of Business before joining Microsoft as its first business manager. He lives with his wife, Connie, and children in Washington.

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

In this terrific conversation with Stephen Blackwelder, Chief Analytics Officer at Duke University Health System, he shared excellent points as we unravel the roadmap to success in data and analytics. He is one of the more than 200 Chief Analytics Officers, Data Leaders, Senior Analytics Experts and Innovators who gathered in New York on October 5-7 for a three-day “Chief Analytics Officer, Fall” conference filled with networking, high level insight and discussion, addressing the hottest topics and challenges faced by CAOs and Senior Data & Analytics professionals.

Organised by Corinium, the leading conferences and content producer for the emerging C-suite executives focused on Data, Analytics, Customer and Digital Innovation, this event sets the pace of innovation and disruption in today’s digital landscape. In 2016, Corinium welcomed 3,500 attendees in its conferences – 40% of which were C-Suite, President or Vice President Level.

Corinium’s previous participants share their remarkable experience:

“The conference was a fantastic way to connect with professionals leading the Data & Analytics transformation in the industry.”
- Jessica Rusu, Director EU Analytics, eBay

It has been a great pleasure attending the CDO Forum and I caught some very interesting insights from the many different sessions
- Fabrice Otano, SVP, Chief Data Officer, Accor

It was a great cross sectoral event. It was a unique opportunity to share knowledge and build networks with CDOs form the most valuable brands.”
- Eduard Gil, Chief Data Officer, SAGESSA

“We all learn differently...and this format [discussion groups] let's us learn by participating. And that is the thing we will remember. It's personal.”
- Dipti Patel, Chief Data and Analytics Officer, CEP America

'It really takes the coming together of people like these [Attendees of the Chief Analytics Officer Fall]...to tell us, this is the problem we need to come together to solve'
- John Sullivan, Director of Innovation, North America Center of Excellence, SAP

'I think the interactions here are much better than...the other conferences I have ever attend'
- Oliver Halter, Partner, PwC

'The people at the Corinium events are the decision-makers and are the people that push the industry forward. If that benefits the industry, great. If that benefits us too, also great.
- Romi Mahajan, Chief Commercial Officer, TimeXtender

Jake Yoos, Alliances Analyst at Looker, takes us through the basics of drilling into your data in Looker.

In Looker, every query result is the starting point for another query. Clicking on any data point will drill down, creating another query refined by the data point you clicked.

Learn more about Drilling into your Data at:

Stuart Ellman (RRE Ventures), Maha Ibrahim (Canaan Partners) and Amish Jani (FirstMark Capital) talk to Connie Loizos about the funding landscape, Trump-era regulatory effects, and founder culture.

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TechCrunch Disrupt is the world’s leading authority in debuting revolutionary startups, introducing game-changing technologies and discussing what’s top of mind for the tech industry’s key innovators.

Watch more from Disrupt NY day one here:

TechCrunch is a leading technology media property, dedicated to obsessively profiling startups, reviewing new Internet products, and breaking tech news.

Databricks CEO Ali Ghodsi announces end-to-end enterprise security in Databricks at Spark Summit 2016.

People who sleep better earn more money. Now all we have to do is teach everyone to sleep

better.

Live from the HPE Big Data Conference 2016 in Boston, Colin Mahony, Senior Vice President and General Manager, HPE Big Data Platform.

Jake Yoos, Alliances Analyst at Looker, takes us through the basics of pivoting your data and adding row totals in Looker.

Multiple dimensions are often easier to look at when you pivot one of the dimensions horizontally. Each value in the dimension will become a column in your Look. This makes the information easier to consume visually, and reduces the need to scroll down to find data.

Learn more about Pivots & Row Totals at:

Jing Wang, Senior Vice President of Engineering at Baidu, talks about Baidu's strategy to confront the challenge of ever-increasing amounts of big data and shares examples of how Baidu is using its data in collaboration with the government, to disrupt traditional industries, and change people's daily lives. Wang spoke on the panel 'Made in China' Innovation at the China 2.0 Forum in Beijing hosted by Stanford Graduate School of Business on April 11, 2014. The panel was moderated by Marguerite Gong Hancock of Stanford Graduate School of Business and also featured Hurst Lin, General Partner at DCM China.

Learn more about the 2014 China 2.0 Forum:

China 2.0 is an initiative of the Stanford Graduate School of Business focusing on innovation and entrepreneurship in China. Learn more:

During the last weeks I had the chance to talk about my thought why Digital Transformation is important in any business and how to lead it - hands on. Since I’m a big believer in collaboration and faster communication I wanted to record and share my core idea at least one time in English. So here we go, this is one of the keynotes. This was recorded in early November at the Entrepreneurs Organization (EO) in Geneva at Julius Bär. I believe that Digital Transformation needs to focus on 1) Business Model, 2) Customer Experience and 3) Operations. My focus is always the operations since making people collaborate and communicate faster is the major source of innovation. It also makes teams super productive. By super productive I mean that we’ve seen companies save up to 4 hours per week and per employee by implementing the right collaboration methods, tools and processes. I had to shorten the content a little bit. So if you want to see the details about Group, Concept and Unplanned Collaboration have a look here ( there is a whole video about it.

Have a look and let’s discuss. More usual Work Day and Work Tools videos coming up this week. Thanks for watching.

Oh and if you like: I send a weekly 3x3 briefing to all my contacts. It covers 3 ideas to discuss and think over the weekend in less than 3 minutes. It’s fun and you can drop out any time. Have a look and join the discussion (via christophmagnussen.com).
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Connect, follow, subscribe:
facebook.com/christophmagnussen
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christophmagnussen.com
blackboat.com

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Christoph is an entrepreneur since high school. After graduating from St. Gallen University, he co-founded a mobile phone reCommerce company which grew from 1M to 31M in revenue in less than 5 years. To scale the business he wouldn’t just add manpower. Instead, he was obsessed with increasing individual productivity through latest online collaboration tools and new work methods.


This new digital setup triggered many requests from fellow entrepreneurs to support them in building the same environment in their companies. This is how the idea for Blackboat was born. A tech focused company designed to help leaders increase team efficiency by leveraging cloud tools and fast communication.
Christoph is also a keynote speaker and he shares his experiences, thoughts and ideas about #EndOf90iesIT and #futureofwork via his YouTube channel and Facebook page.


His team has been involved in projects with clients like Facebook, mymuesli.com, thjnk AG, Nestlé, Microsoft, Google, Service Partner One, Amorelie.de, AboutYou.de, E.ON, Mediakraft et. al.

Steve Jurvetson at Machine Learning and the Market for Intelligence 2016

Jake Yoos, Alliances Analyst at Looker, takes us through the basics of exploring in Looker and the basics of dimensions & measures.
A dimension can be thought of as a group or bucket of data. A measure is information about that bucket of data.

Learn more about Dimensions & Measures at:

Experience Looker’s first multi-day conference, JOIN.

At JOIN, data enthusiasts of all skill levels can expect engaging, interactive and unique opportunities to explore practical skills, build models and chat with data-peers and experts from the Looker team.

JOIN 2016 keynote panelists included Freakonomics Radio host -
Stephen Dubner, Netflix Co-Founder and former CEO Marc Randolph, and many more!

Watch JOIN presentations at:

Creative Market wanted to understand the value they were creating for their customers. With Looker, every team has secure access to data, so everyone can make better decisions for the company.

With the Looker data platform, a centralized view of Creative Market's data allows anyone to quickly ask questions, interact with visualizations, and share findings.

Elan Looker, Sales Engineer at Looker, takes us through the process of scheduling data deliveries through scheduled reports, we call them Looks, in Looker.

Each saved Look or dashboard can have multiple schedules, and each user of that data has their own set of schedules. If a user edits or deletes one of their schedules, only their recipients will be impacted; other users might have other schedules related to that data.

Learn more about Scheduling Looks at:

Jake Yoos, Alliances Analyst at Looker, takes us through the basics of Sorting your data and adding column totals in Looker.

Sometimes a summary of your data is useful. You can add column totals to your report by clicking the Totals checkbox in the upper right, then running the report:

Learn more about Sorting and Column Totals at:

What are the implications of digital transformation, technology, machine learning, and new business models on the future of work? The impact of big data and business analytics with technologies such as artificial intelligence have profound implications for companies, individuals, and society. At the same time, government policy on these issue lags technology and the impact on people. On this episode, a respected futurist and well-known data scientist explore these complicated and important issues.

Frank Diana leads the business solutions organization for TCS (Tata Consultancy Services) Global Consulting. and is a top futurist. Anthony Scriffignano is Chief Data Scientist at Dun and Bradstreet. Michael Krigsman is an industry analyst and host of CXOTALK.

For more information,
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Check out more CXOTALK episodes:
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From the transcript:

(05:35) What are the forces shaping the future of work?

Frank Diana:

(05:42) So, let me kick that off and I’d love to get Anthony’s perspective on it as well. Things like the driverless car is an easy one. That one, in the last six months to a year, has really taken off, and now people don't see it as science fiction anymore, but that driverless car, as just one scenario, has brought in deep implications across every sector. And when you actually start to look at that, you appreciate just how disruptive and impactful that one scenario is. But how about things like healthy life extension? That's one of the scenarios that I'm tracking as well, as we've looked to extend our lives, and that's not just in terms of years lived, but healthy years lived. And, what does that mean to retirement? And what does that mean to insurance, and all of the things that, really, we think about? And on, and on, and on; the maker economy. The sharing access economy. These are all scenarios that I call … And again, they do intersect and intertwine. Very impactful!

Anthony Scriffignano:

(06:30) So, maybe I can just add a little bit to that. On the driverless car, I would expand that to this concept of autonomy. So, we have things. We have cars. We have drones. We have fill-in-the-blank. And these things have agents in them that are describing their behavior, so we give them goals. In the case of a car, it might be “drive safely and get where you’re going.” And then all of a sudden, these autonomous agents need the ability to modify their goals. Something changes in the environment, somebody runs out in front of the car, etc. And now, we are … Autonomous agents are given the power to change their behavior at our request. That’s going to change everything for us. That’s going to change the way we interact with our agents because they may not be doing what we ask them to do anymore. Kind of like children, right? And also, because those agents might be able to think faster than we can, doesn’t necessarily mean that they have the experience and the context that we do, with the emotion that we do.

(07:23) So, if I could tie that to the healthy living comment, think about things like senior care. Think about things like understanding how to deal with people in the end-stages of life. Do we want autonomous agents doing that? I don't think so. So, I think at some level, this disruptive change gives us the opportunity to focus on things that human beings uniquely do better than machines, at least in the thirty-year horizon that we can see. And also, we have to pay attention to what we're giving up to those machines and make sure that that's not happening by accident. And, I would add one last thing, which is that not all of this innovation is for good. So, think about the ways that the band guys can use this disruptive innovation that's happening all around us to disrupt in ways that we don't even have words for, yet. So, there's a very high cost to doing nothing. And that high cost is that some of that innovation happens without us paying attention, and then we get disrupted in ways that are really terrifying and surprising at the same time.

(23:47) And so, the question comes up: Could I write a piece of software that could write an article about an event like that that passes the Turing Test – that lets people believe that it was written by a human? And the answer is “yes,” until a hot air balloon lands in the middle of the track that was unexpected or, all of a sudden a geyser opens up. See, these unexpected things start to happen and algorithms aren’t going to be so good at that because they haven’t been taught to write about it; whereas, a reporter would jump in and say, “This is the coolest thing ever! A hot air balloon just landed in the middle of the track and I’m going to write about it first, and I’m going to get the greatest article and I’m going to get the Pulitzer Prize.”

Understanding the customer is a long-standing goal of BI and Analytics, but striving toward that 360 degree view is only half the battle. Knowing what to do next is critical. With sufficient context, companies can gain enough intelligence about their customers to make highly educated guesses about how to keep them satisfied in an increasingly competitive world.

Learn from several experts about how BI and Analytics can help companies better understand and serve their customers. Speakers include Eric Kavanagh, Rick Sherman of Athena IT Solutions, along with Alexis Wong of Asana and Brian LaFaille of Looker.

Topics covered in this webinar include:

- How to synthesize key data points to analyze customer behavior
- Why it's important to incorporate data from multiple systems
- Which behavioral characteristics to track, and how
- How to empower analysts to find key insights
- How to achieve agility in decision making
- When actions should be taken to address customer churn

In this short tutorial, Jill Hardy - Technical Training Content Developer at Looker, takes us through the basics of Spaces in Looker.

In Looker, content is saved into Spaces. A Space can include Looks, dashboards, or even more Spaces called “sub-spaces.”

Learn more at:

As businesses grow, the tools and technologies they rely on must either evolve with them or be replaced. Tools that worked for a team of 10 may no longer work for a team of 50 or more. Business intelligence and data analytics tools are no exception. Companies like Square, Simply Business, and DigitalOcean faced many challenges with their visualization tool as their business grew and made the jump to a data platform.

Are you tired of:

- Seeing versions of the “truth” with different spreadsheets or workbooks
- Debating which version of the data is “right”
- Doing tedious cleanup and modeling over and over
- Feeling that you’re not leveraging your database

The last 10 years has seen a major shift in the BI market — legacy tools which provided governance but greatly limited access by most employees have given way to self-service workbook analytics tools. Workbook analytics allows data to be shared, but with everyone slicing and dicing data their own way, people find different answers to the same questions, and data chaos breaks out.

Learn how successful data-driven companies are striking a balance that allows for governance without bottlenecks, self-service without chaos and taps the true benefits of BI by using a modern data model.

Hear from BI experts as they deep dive into:

- The evolution of BI to better understand how we got here
- Why data modeling is key to a successful data strategy
- LookML: Looker’s light-weight, git-integrated data modeling language

Deep Learning: Intelligence from Big Data
Tue Sep 16, 2014 6:00 pm - 8:30 pm
Stanford Graduate School of Business
Knight Management Center – Cemex Auditorium
641 Knight Way, Stanford, CA

A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant value from Big Data. It has already radically improved the computer’s ability to recognize speech and identify objects in images, two fundamental hallmarks of human intelligence.

Industry giants such as Google, Facebook, and Baidu have acquired most of the dominant players in this space to improve their product offerings. At the same time, startup entrepreneurs are creating a new paradigm, Intelligence as a Service, by providing APIs that democratize access to Deep Learning algorithms. Join us on September 16, 2014 to learn more about this exciting new technology and be introduced to some of the new application domains, the business models, and the key players in this emerging field.

Moderator
Steve Jurvetson, Partner, DFJ Ventures

Panelists
Adam Berenzweig, Co-founder and CTO, Clarifai
Naveen Rao, Co-founder and CEO, Nervana Systems
Elliot Turner, Founder and CEO, AlchemyAPI
Ilya Sutskever, Research Scientist, Google Brain

Demo Companies**:
Clarifai | SkyMind | Ersatz Labs | AlchemyAPI

** Follow (@VLAB) on Twitter and Event Hashtag #VLABdl

MODERATOR:

Rob Abel, CEO, IMS Global Learning Consortium

PANELISTS:

Melissa Loble, VP of Platforms & Partnerships, Instructure
Stephen Laster, Chief Digital Officer, McGraw Hill Education
Steve Liffick, General Manager of School Data Sync, Microsoft
Tyler Bosmeny, CEO, Clever

Student-centered learning is achievable when technology works together to ease the way. Students can own their own learning if they aren't struggling to access digital learning resources. So, what are K-12 districts doing to support personalization at scale? And what role do open standards play in successfully transitioning to a fully integrated digital learning environment? No one has all the answers, but this panel will explore the possibilities of adopting open interoperability standards and its potential to shape next generation digital learning environments.

Want me to speak at your event? Inquire here:

Mark Russinovich, Chief Technology Officer, Microsoft Azure, Microsoft
Machine learning with large data sets gives unprecedented insights and anomaly detection capability. Learn how Microsoft uses the agility and scale of the cloud to protect its infrastructure and customers by applying data mining and machine learning algorithms and security domain learnings to the vast amounts of data and telemetry gathered by its many different systems and services.

Machine Learning and Big Data in Cyber Security - lecture by yal Kolman of RSA given at Technion-Israel Institute of Technoloy, Technion Computer Engineering summer school 2014

Although Machine Learning tools are commonly used in numerous applications such as direct advertisements, recommendation engines, algo-trading and more, the big boom of advanced analytics in security systems is still yet to come. After introducing the main concepts of Machine Learning, we will discuss some of the promises and challenges in applying machine learning on big data for security, present the current paradigm for utilizing machine learning algorithms to solve cyber security problems, and demonstrate few concrete use-cases.

The desire to compete on analytics is driving the adoption of big data and cloud technologies that enable enterprises to inexpensively store and process large volumes of data. From NoSQL and in-memory databases, to Hadoop and Spark, these technologies offer new and distinct capabilities to the world of enterprise data management. The growing challenge of delivering information where and when it is needed requires a modern data architecture with governance, security, speed, and flexibility.

Presenters:
- Bruce Sandell, Senior Sales Engineer, Alliances at Looker
- Danny Sandwell, Senior Product Manager at ERwin, Inc.
- Mark Van de Wiel, CTO at HVR

Ce soir à 18h45 suivez en direct la keynote Apple ! Jérôme Colombain, François Sorel et toute l'équipe de 01net.com se mobilise pour vous faire vivre cet événement en vidéo.

Regardez toutes nos vidéos en avant-première sur : !


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