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Rapping with Charles Handler from Rocket Hire about Big Data used in selection and screening.
Everyone meet Charles, Charles meet everyone:
As a technologist, futurist, business advisor, and selection systems scientist he has spent over 20 years helping organizations across the globe to realize quantifiable value through their processes for selecting and developing human capital.
Charles has helped design hundreds of selection systems putting through 10's of millions of jobseekers. He knows how to architect a hiring system.
Our conversations are real and can take twists and turns resulting in perspective about Big Data you will never get from those ladder climbing professionals playing it safe. It's a weekly 30 minute show, completely uncensored on Big Data created by Bryan Wempen. No filters. Listen to the show every Tuesday, 9am/Central Time.
Joining us will be Michael Harms, Executive Director of Operations at TDn2K. TDn2K is the parent company to People Report, Black Box Intelligence and White Box Social Intelligence.
Connect with Michael: www.linkedin.com/in/mgharm
Our conversations are real and can take twists and turns resulting in perspective about Big Data you will never get from those ladder climbing professionals playing it safe. It's a weekly 30 minute show, completely uncensored on Big Data created by Bryan Wempen. No filters.
Joining us will be William Tincup, Principal Analyst at KeyInterval Research, Business advisor and Co-Host of DriveThruHR - HR's #1 Podcast. Listen to the show every Tuesday, 9am/Central Time starting January 13, 2015.
Linkedin for William: www.linkedin.com/in/tincup
This program will be featuring my white paper titled Statistics Resources and Big Data. We will be highlighting the latest and greatest resources covering statistics and big data including search engines, subject directories, articles, guides and tracers - literally everything needed for STATISTICS and BIG DATA !!! We will also discussing my latest freely available Awareness Watch Newsletter V13N4 April 2015 featuring Knowledge Discovery Resources 2015 and my freely available April 2015 Zillman Column highlighting Healthcare Online Resources 2015. You may call in to ask your questions at (718)508-9839. The show is live and thirty minutes in length starting at 2:00pm EST on Saturday, April 11, 2015 and then archived for easy review and access. Listen, Call and Enjoy!!
Jason never disappoints, great convo coming about engagement and being a Best Place to Work.
Everyone meet Jason, Jason meet everyone.
Jason: Even when I was in grade school, I recognized when processes were broken. But, rather than complain about them, my instinct was to find or create a better way. I solved the problem. I facilitated progress. I never outgrew this.
As my career unfolded, it became clear to me that the experience of “work” wasn’t a good one for far too many people. And so it has become my calling to make work better. I believe that work can and should be an awesome experience (It happens, I’ve seen it.). I believe that people want to do great work. I also believe that leaders want their people to be successful. The challenge seems to be that we are stuck in outdated mindsets and beliefs about “work” that get in our way. My mission is to fix that.
Long before the tech sector christened almost every type of analytics as big data, the pharmaceutical and biotech industries were heavily reliant on analytics to develop new, safer drugs, and to produce those drugs more efficiently. Big data plays a key role in building upon what we have learned about the human genome, in managing effective clinical trials, in long-term monitoring of drug applicability in real-world healthcare, and in managing the manufacturing process.
Consider what the use of big data in pharma and biotech companies means to you as a consumer. It means getting the right drug to the right patient at the right time for the right condition. Now, consider what you can learn as a business person -- no matter what industry you are in -- from the analytics techniques, and the data management and data mining concepts pioneered by big pharma.
Jim Baxter, head of the life sciences practice at Collaborative Consulting, joins All Analytics Radio on Tuesday, May 19, at 2 pm EDT, for a discussion of how pharma and biotech companies finding benefits in big data analytics.
In this show you will learn:
How use of big data analytics have evolved in the drug and medical device industries
What types of benefits life sciences companies are finding through use of analytics
What big data in pharma means to you as a possible patient
What the future holds for use of analytics in life sciences
What lessons big pharma can teach analytics professionals and decision makers about use of big data in their own business environments
As your big data initiative scales toward even bigger data, the odds are that the cloud will play a critical role in your strategy, whether for storage or as the home for your analytics applications. How can you trust the cloud to keep your data secure and to protect the privacy of your customers and partners?
Trust in the cloud has been growing as the concept has evolved, but cloud-based providers and your own organization can do more to ensure that the cloud is a secure environment for your data. Some of that work is being done by the Big Data Working Group of the Cloud Security Alliance.
Working group co-chair Wilco Van Ginkel, who is security strategist for Verizon Enterprise, joins All Analytics Radio to discuss the efforts to identify scalable techniques for data-centric security and privacy problems. The working group's goal is to crystallize best practices for security and privacy in big data, and to help industry and government organizations coordinate the development of big data security and privacy standards.
Van Ginkel will be available to address your questions and concerns and share his advice on building out a secure big data strategy in the cloud.
In this event you will learn:
About the progress that the cloud sector and its customers have made in building a secure environment
About some of the best practices for enterprises that the Cloud Security Alliance has already identified
What types of big data applications are ready for everyday life in the cloud
How security and privacy protections in the cloud environment may evolve in the year or so to come
Join the All Analytics community on Thursday, February 26, at 2 pm (ET), and bring your questions for Wilco Van Ginkel.
A bigger paycheck isn't the only reason to make the career move to data science. Well, that paycheck wouldn't hurt. Expertise in analytics and data-driven decision making is a new checkbox on any ticket to the C-suite, and could open doors in some of the world's biggest companies. Plus, you might not have to follow the pack of data scientists to California.
Those are just some of the predictions from Linda Burtch, founder of Burtch Works Executive Recruiting. Linda recently released her outlook for data scientist hiring and compensation, as well as the general enterprise trends that you can expect to see in 2015. With more than 30 years of experience recruiting quantitative professionals, she will discuss what data scientists can expect to see in the job market in the months ahead, while sharing advice on how you can advance your career when she joins All Analytics Radio to discuss her report 2015 Analytics and Data Science Hiring Market.
In this online event you will learn:
Why being a data geek is a must for future executive roles.
How more big name companies are turning to analytics and big data.
Which skills companies are looking for in data science and analytics professionals.
What data science expertise can mean to your paycheck.
Join the All Analytics community on A2 Radio at 3 pm (ET) on Wednesday, February 11.
In this age of big data and analytics, one of the problems that we face is that our ability to communicate and understand statistical outcomes has not advanced as rapidly as our proficiency in handling data. There's plenty of data but not enough understanding. Yet, we can better understand complex matters when we can experience them.
Simulated experience lets us do just that, for example, showing us how our retirement investments will play out when we really need them. Robin Hogarth, an emeritus professor at the Universitat Pompeu Fabra in Barcelona, along with fellow researcher Emre Soyer, explained how simulated experience can help us to make better use of big data analytics in a recent MIT Sloan Management Review article.
Now, Hogarth is joining the All Analytics community for the next episode of A2 Radio on Tuesday, Feb. 3, at 2 pm (ET) to discuss how enterprise analytics teams can make use of simulated experience in delivering data to their clients, helping those clients make better decisions.
In this A2 Radio Show you will learn:
About some of the ways that simulated experience has been used in society and in enterprise environments.
The types of applications where simulated experience can bring benefits and better decision making to your organization.
Why we need to "experience" complex data rather than just analyzing it.
This program will be featuring Statistics Resources and Big Data Subject Tracer™. This Internet Annotated Link Dataset Compilation is dedicated to the latest and most competent resources and tools for statistics and big data available over the Internet. The discussed selected research resources, sites, indexes and alerts offer excellent knowledge and information discovery sources to help you accomplish your statistics and big data research and discovery goals! We will also discussing my latest freely available Awareness Watch Newsletter V12N11 November 2014 and my freely available November 2014 Zillman Column covering Accessibility Resources On the Internet You may call in to ask your questions at (718)508-9839. The show is live and thirty minutes in length starting at 2:00pm EST on Saturday, November 8, 2014 and then archived for easy review and access. Listen, Call and Enjoy!!
Ivan Casanova heads up the marketing and product groups at Jibe, bringing more than 20 years experience in enterprise software marketing and product management. He joined Jibe from TIBCO Software, a $1B+ infrastructure software company, where he served as VP Marketing for five years. Before TIBCO, Ivan was CMO at DataSynapse, the NYC technology startup that pioneered new ways for financial institutions to leverage distributed computing.
Ivan lives on Long Island with his wife, two sons and new puppy. When not working he likes to relax by playing golf and watching his son play soccer.
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