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  • 00:06

    So... I ran out of data on my phone...

    in Self Help

    So... I ran out of data on my phone...


    Today @ 1130 am on the Healthy Mind & Body radio show... I'm going to be talking about what I've learned in the two weeks that I have been without any data.

    We have a new drug it's called a "smart phone" and here's why you should get off of it.

    I thought it would be a great idea to cut off my internet, since we don't really use it anymore.

    and then... I got the message that my phone was out of data!!!

    You know what that means. NO movies, no checking FaceBook every thirty seconds and actually having to interact with the people living in my house. It's been pretty wonderful, after the initial shock.

    What to know more?

    Listen to the show


    I'll talk to you then,


  • 00:39

    Life in a World of Big Data, Autonomous Cars and IoT

    in Technology

    Three themes have been hot topics in the analytics community so far in 2016: The move to driverless cars, the recognition that "big data" isn't a cure-all, and that the Internet of Things does have a home in the corporate world.

    All Analytics bloggers who have been tracking those trends share updates and a look ahead on what has happened so far in 2016 and what we can expect as the year unfolds. Join our roundtable for an informative and fun discussion of some of the A2 communities key themes.

    On tap for this event:

    How quickly we can expect to move toward autonomous vehicles for the average person in light of the government's OK for Google to test cars with no driver controls
    How automonous vehicles are already in use in heavy industry
    Whether we are too focused on the "big" in big data
    How the IoT really is taking shape in the world of business

  • 00:32

    See How Data is Revolutionizing Healthcare

    in Technology

    New, data-driven approaches to healthcare, often based on mobile technology, present opportunities to improve the care of individual patients while helping researchers to identify new treatments for common ailments. Consider how daily monitoring of conditions such as high blood pressure, heart disease, obesity, and diabetes -- rather than checkups a few times a year -- can produce data that not only provides your doctor with a true picture of your personal health but helps to treat those conditions in the broader population.

    Mobile technologies, data analytics, and new strategies for patient care are providing opportunities to make huge improvements in patient care. This isn't just a dream for the future, but is happening today. One of the pioneers in remote healthcare and telemedicine is Dr. Joseph Kvedar, vice president for Connected Health at Partners Healthcare. Dr. Kvedar joins All Analytics' A2 Conversations for an interview in which he discusses the changing world of healthcare, the role of analytics, and what data-driven healthcare means to you.

    In this interview you will learn:

    How technology is providing Partners' Connected Health physicians and researchers with valuable data about chronic conditions and their treatments
    How mobile technology is changing the patient/physician relationship
    How data-driven healthcare can personalize your treatments
    About the efficiencies that technology can bring to healthcare, and the progress that connected healthcare has made in recent years


  • 00:28

    Data Analytics and Training

    in Business

    How are companies measureing the impact of their training programs?  Nancy and Allison will explore this in our discussions today.

  • 00:13
  • 00:31

    Big Data Software Solutions

    in Technology

    Greeting and welcome to Radio Time Productions with Valerie Jarrette Bass, Host. Broadcasting live from beautiful South Florida. Our guest today is Gerald Cantor, Owner/CEO at TriFokus Solutions, LLC discussing Big Data, prebuilt virtual machines, ecosystem, Cloudera...

    Mobile-friendly - Big data is a broad term for datasets so large or complex that traditional dataprocessing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. ‎Big Data (band) -

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  • 01:00

    JMOR Tech Talk Show: Cutting Data Usage Bills on Your Cell Phone

    in Technology

    JMOR Tech Talk Show

    Episode:  08 (Cutting Data Usage Bills on your Cellphone)

    Data Units Measurement

    Byte=8 Bits
    Nibble=5  Bits
    1K=1024 Characters (Bytes) Really 1000 but…
    GB= 1024MB (billion bytes)
    1 TB=100 Gigabytes
    1PB=1000 Terabytes
    1EB=1000 Petabytes
    1ZB=1000 Exabytres

    Apps that will drain your battery

    TV for One Hour                                300      MB
    0 Mins of Radio Streaming               11        MB
    15 Mins of Facebook No Streaming   5         MB
    100 Text E
    Download of 1 Music Track               5          MB
    -mails Sent/Received        2.5       MB
    Watching Netflix for 1 HR                    1       GB


    How to Minimize High Data Usage

  • 00:29

    What is the important gleaned data from the big data sets

    in Books

    What is big data, and why do leaders' gravitates toward big data in making strategic decisions. And why do leaders now depend on big data interpretation for managerial decisions? Simply stated, due to technological situational happenstances, there have been surge of convergences of Information Technology (IT) with the Operational Technology (OT) for strategic decision making. Deft leaders and managers should now collaborate with DS, DA, IA to formulate and set #IoT goals' towards maximization of profit  These technological pathways have been changed due to iCloud, Information, Mobile, and Social media, thereby removing all intermediaries from their node. To quickly redact, communication between inanimate objects called the Internet of Things #IoT. And Industrial Internet of Things (IIoT) is where industry communicates with one another like the caterpillar building industry communicating with say with the agricultural department,

  • 00:47

    Radio [itvt] - "Big Data and the Advertising of Tomorrow" at TVOT NYC 2015

    in Television

    (Note: We have just announced that TVOT SF 2016 will take place June 7th-8th--purchase your Super-Early-Bird tickets here: http://tvotsf2016.eventbrite.com.)

    "Big Data and the Advertising of Tomorrow" at TVOT NYC 2015

    [itvt] is pleased to present an audio recording of the TVOT NYC 2015 session, "Big Data and the Advertising of Tomorrow." The session was described in the show brochure as follows:

    "This session will focus on Big Data and the new forms of television advertising that it makes possible, assessing the progress that has been made in implementing programmatic TV buying and addressability to date, and examining what else needs to happen in order for their promise to be fully realized. 

    Panelists will address such questions as: What are the most important advances that have been made so far and what can be learned from them? What are the issues still hindering progress and how can they be resolved? What is the relationship between addressable and programmatic today, and how will that relationship evolve going forward? What impact will data-driven advertising have on the creative side of the business? To what extent will it devalue sellers' inventory? How reliable are the data that drive programmatic and addressable TV advertising? And how easily can the effectiveness of such advertising be measured?" Panelists included: 

    Tim Castree, GM/Head of North America, Videology
    Damian Garbaccio, Chief Strategy Officer, Nielsen eXelate
    John Gee, SVP of Business Development, Alphonso
    Srishti Gupta, President, IRI Media Center of Excellence
    Seth Haberman, CEO, Visible World (Moderator)
    Mark Lieberman, President and CEO, Viamedia/placemedia
    Jonathan Tabak, Group Product Manager, Primetime, Adobe

  • 00:29

    Bit of data used in financing real estate has metamorphosed into big datasets

    in Books

    The discussion this Friday will focus on the historical bit of data originally used in financing real estate mortgage in the 1800s. This bit of data significantly became the nucleus of understanding the etymology of real estate and its present connotations. Most importantly, the bit of data has metamorphosed into big data sets used within the present real estate transactions (scan through here at http://tinyurl.com/lz45vxn). Information in real estate that were hard to come by or hard deciphered are now readily available to estate agents, buyers, sellers and investors.  Explaining and navigating through these capricious sea changes of big data and its global implications on real estate will be the congenial twin of Internet of Things #IoT and Industrial Internet of Things #IIoT.  Read more inside here at http://tinyurl.com/o52lwvm

  • 00:30

    What are the limitations and variable costs of using "Big Data Information?"

    in Books

    This week discussion will focus on how leaders or team managers decipher variable costs and the limitations of the disruptive components of Big Data. There is limitation on to the insights of the “important data” gleaned from complex, structured and unstructured data that have resulted in about 75 percent of data ultimately becoming useless after 80 days (Leigh, 2013; Tamm-Daniels, 2013). Not only that the overwhelming data collated by DA, DS, IA, OT and IM does become unusable, the limitation are equally intertwined with the analysts, leader’s and manager’s emotional intelligent, intuitiveness, and above all, their prejudice experiences leading to whether or not the data will be skewed subliminally into achieving set organizational objective. Because the raison d’etre of any organization is to maximize profit. There is also this scalable hurdle to jump such as the Information Governance, Sarbanes-Oxley compliance now extended to the use of big data that was initially connected with certifying the accuracy of financial statements under Section 302, “Corporate responsibility and Financial Reports” (Eaton, and et al, 2012; Jarausch and Hardy, 1991). These variables are direct or indirect costs that needed to be implicitly measured in terms of ROI with respect to IoT and IIoT. And the aforementioned will be the topic of examination and lecture this week. Also read more about this discussion inside here at http://tinyurl.com/nky952l