Every day we hear about the adventures of people who love data and know what to do with it. We again offer a random selection of data scientists -- and again we find a wide variety of expertise and experiences shaping the men and women of this new profession, data science.
Start the slideshow by clicking on the image below. And once you're done, feel free to drop a note on the message board regarding data scientists you know (or know about, at least), and take a look back at our first collection.
Current position: Senior research scientist, analytics, LinkedIn
Bio: Built the LinkedIn product analytics team from two to 10 data scientists. Spearheaded many of LinkedIn's key products: the Talent Match system that matches jobs to candidates, the first machine learning model for People You May Know, and the first version of Groups You May Like. She holds a PhD in computer science from Carnegie Mellon University.
Quotable quote: "By definition all scientists are data scientists. In my opinion, they are half hacker, half analyst, they use data to build products and find insights. It's Columbus meet Columbo -- starry eyed explorers and skeptical detectives."
I like the quotes about data not just being terabytes and the other quote that it's storytelling. I have often seen this in a couple of work places where there was plenty of data, but not enough talent to make sense of it.
I agree, Jen. I know University of Illinois received a record number of applicants for its undergrad Engineering School, a top-rated program, this year. I would suspect other schools, and other tech disciplines, would report the same.
Hi Gil, interesting mix of people here (and, as a female, I'm pleased to see several women mixed up in this bunch of data scientists). I particularly like Monica Rogati's quote, "By definition all scientists are data scientists. In my opinion, they are half hacker, half analyst, they use data to build products and find insights. It's Columbus meet Columbo -- starry eyed explorers and skeptical detectives." That last piece brings to mind the "Holmes vs. Columbus" Point/Counterpoint debate we ran not too long ago!
SAS Global Forum Executive Conference 2014 The Executive Conference is held in conjunction with SAS Global Forum, a SAS users technology event. Investing in thought leadership and technical training are two of the best moves a successful company can make so take advantage of the world-class speakers, sessions and discussions around Analytics, Big data, Risk, Fraud and Data management.
LEADERS FROM THE BUSINESS AND IT COMMUNITIES DUEL OVER CRITICAL TECHNOLOGY ISSUES
The Current Discussion
Visual Analytics: Who Carries the Onus? The Issue: Data visualization is an up-and-coming technology for businesses that want to deliver analytical results in a visual way, enabling analysts the ability to spot patterns more easily and business users to absorb the insight at a glance and better understand what questions to ask of the data. But does it make more sense to train everybody to handle the visualization mandate or bring on visualization expertise? Our experts are divided on the question. The Speakers: Hyoun Park, Principal Analyst, Nucleus Research; Jonathan Schwabish, US Economist & Data Visualizer
At the Strata Conference / Hadoop World 2013, Samuel Kommu, technical marketing engineer at Cisco Systems, shares some of the benefits that Hadoop brings to analytics platforms that leverage next-generation hardware. Kommu looks at big data operations that required 3,500 nodes in 2009, 2,000 in 2011, and now require only 64 nodes.
Wayne Thompson, manager of SAS Data Sciences Technologies, delivers a fascinating preview demonstration of SAS Visual Statistics, a tool that enables fast and flexible modeling against massive datasets on the fly. Visual Statistics will be made generally available in March, but you can see it here first.
At Strata/Hadoop World 2013, Cloudera CEO Tom Reilly discusses the new Enterprise Data Hub offering, explaining how it works with Hadoop, how it creates a single repository of full-history and full-fidelity data, and how it exposes that data to all users interested in exploratory analytics.
At this year's Strata Conference/Hadoop World 2013, SAS big data vice president Paul Kent presented a session on setting up Hadoop clusters for advanced analytics. We caught up with several audience members and recorded their impressions of the presentation.
In hearing directly from a doctorate-level Hadoop specialist, a healthcare data analyst, and a marketing executive, it's clear that big data analytics is a burgeoning field that cutting-edge companies are eager to explore.
At this year's Strata Conference/Hadoop World 2013 event, SAS VP of Big Data Paul Kent presented several sessions about modernizing and deploying advanced data analytics infrastructures based on Hadoop. In this video, he talks about the state of Hadoop adoption among enterprises today and looks out to the big data-driven applications of the future.
Companies that use SAS analytics tools for their traditional databases are looking to derive even more value by mining unstructured data. Data management platforms like Hortonworks enable that relationship by delivering an enterprise-ready Hadoop framework.
In this video, Shaun Connolly, vice president of corporate strategy at Hortonworks, explains how companies can incorporate Hadoop into their data analytics streams.
At the SAS Premier Business Leadership Series in Orlando, Manuel Sanchez, CRM Manager for Club Premier Aeromexico, explains the challenges and opportunities of transaction data. Using dozens of data sources among participating airlines and merchants, Club Premier creates robust customer profiles and works to maximize benefits for members and business partners alike while protecting individual privacy.
At SAS's October Premier Business Leadership Series (PBLS) in Orlando, attendees from the corporate and academic worlds joined thought leaders and analytics professionals to share insights and strategies around big data.
Will Hakes, CEO and co-founder of Link Analytics and keynote speaker at the SAS Analytics 2013 conference in Orlando, Fla., last month, talks candidly about the challenges that large enterprises face as they explore advanced analytics solutions. He also shares some practical tips for smoothing the transition.
At the SAS Analytics 2013 conference in Orlando, Bob Gladden, vice president for decision support and informatics at the Ohio nonprofit health insurance provider CareSource, explains how his company uses advanced analytics to keep administrative costs down and to identify at-risk patients for targeted healthcare initiatives.
At the Analytics 2013 conference in Orlando, Fla., two analytics experts from Dell -- global decision sciences manager Natalie Kortum and senior credit risk consultant Jack Chen -- share their real-world advice for analysts who want to sell their project ideas to business executives.
At the SAS Premier Business Leadership Series in Orlando, Fla., Lousiana State Representative Chris Broadwater outlined the state's success with analytics-driven fraud detection and shared his vision for streamlined processes at the DMV, the healthcare system, and even the department of corrections -- all delivered via a centralized repository of rich customer data.
Organizations that are ready to leverage big data need to move beyond buzzwords and approach the challenges with a business focus. Peter Guerra, principal at Booz Allen Hamilton, shares his insight and experience in helping clients transition to Hadoop and embrace new decision support platforms.
At this year's Strata Conference / Hadoop World 2013, Michael Steinhart chats with Rackspace Product Marketing Manager Sean Anderson about Hadoop, cloud computing, and how the two come together for companies that want to undertake a "proof of value" project.
With today's advanced visual analytics tools, you can stream data into memory for real-time processing, provide users the ability to explore and manipulate the data, and bring your data to life for the business.
Dynamic data visualizations let analysts and business users interact with the data, changing variables or drilling down into data points, and see results in a flash. Advance your use of data visualization with tools that support features like auto-charting, explanatory pop-ups, and mobile sharing.
No doubt your enterprise is amassing loads of data for fact-based decision-making. Hand in hand with all that data comes big computational requirements. Can traditional IT infrastructure handle the increasing number and complexity of your analytical work? Probably not, which is why you need a backend rethink. Big data calls for a high-performance analytics infrastructure, as Fern Halper, a partner at the IT consulting and research firm, Hurwitz & Associates, discusses here.
Redbox's bright-red DVD kiosks are all but ubiquitous these days, located in more than 28,000 spots across the country. Jayson Tipp, Redbox VP of Analytics and CRM, provides an insider's look at how the company has accomplished its phenomenal nine-year growth.
InterContinental Hotels Group (IHG), a seven-brand global hotelier, has woven analytics into the fabric of its operations. David Schmitt, director of performance strategy and planning, shares IHG's analytics story and his lessons learned.