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  • 00:23

    Avoiding Data Security Issues

    in Business

    The Internet has grown business at a rate before unknown.  But it has also created security threats and issues that can compromise the integrity of your business.  Listen in as Video Broadcast Services President, Marcia Hawkins and Vice President, Kyle Clouse discuss how you can avoid data security issues and keep your business and personal information safe.

  • 00:28

    Data Security for Small Businesses and Franchises

    in Technology

    This week we'll discuss data security with John Martin and the team from First Watch Technologies!

    John will share best practices in keeping your brand and business safe from data breaches and other technology threats.  Join us Wednesday at 8pm ET! 



  • 00:30

    Randy Roberts talks Data Security on Thug Metrics: Hosted by Bryan Wempen

    in Technology

    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 Randy Roberts, President of Digital Security Advisors. DSA provides expertise to understand, design and implement controls needed to provide a secure network. With global enterprise experience our team can help your organization design or redesign your network so that it actively assist your team secure your assets. We discuss Sony, Home Depot and JP Morgan Chase data breaches. 

    Connect with Randy: www.linkedin.com/in/rsroberts

  • 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,

  • 00:29

    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

  • 00:31

    IoT Security: Reality or Thriller Plot Threats?

    in Technology

    When researchers discover vulnerabilities in Internet of Things (IoT) devices, the media hypes the consequences as if the movie "Maximum Overdrive" has jumped off the big screen and into reality. Will your connected car refuse to respond to your stabs at the brake pedal? Will soda machines start shooting cans at unsuspecting passers by? When will our robot vacuums rebel, controlled by Skynet?

    Join Caleb Barlow and Chris Poulin, Research Strategist for IBM's X-Force Security Threat Intelligence Team and IoT and connected car security expert, to separate the real security threats from FUD.

  • 00:16

    Ocoos.com: The Democratization of Data and Design

    in Business

    An overview about Ocoos.com, and the democratization of data and design.

  • 00:31

    Understand the Difference Between Data Science and Analytics

    in Technology

    It's becoming more common to see the terms analytics and data science used interchangeably. However, there is a difference that organizations have to understand, not only when hiring for their data science teams but in shaping their data initiatives.

    One way to set data science apart is to consider the use of data that reflects the "Three V's" of Big Data, volume, velocity, and variety. Adam McElhinney, director of data science at predictive analytics company Uptake, joins All Analytics Radio to discuss how those Three V's set apart a data science project. McElhinney, formerly head of business analytics and marketing analytics for Enova Financial, has deep experience in business analytics, credit modeling and credit scoring, consumer finance, business development, performance optimization, strategic planning, and statistical analysis.

    Tune into All Analytics Radio at 2 pm (EST) on Monday, November 23, to learn how you can take your analytics initiative to the next level by utililizing those key elements of Big Data: volume, velocity, and variety.



  • 00:34

    All Analytics Academy: Data Science Recruiting Strategies

    in Technology

    You might be tired of hearing that data scientist is the world's sexiest job, but you can't question the fact that data scientists and other analytics professionals are in demand. That means that you probably won’t find qualified candidates lined up at your door when you post job openings for your analytics team.

    Organizations need to know how and where to recruit analytics professionals, whether the search is for highly experienced data scientists or young team members fresh from college.

    Research has shown that simply tossing money at candidates isn't a long-term solution. Those candidates will look at your company's growth opportunities, work environment, management talent, range of benefits, and quality and personalities of their potential coworkers. Of course, the paycheck does count too.

    Linda Burtch, founder of Burch Works Executive Recruiting, specializes in matching data scientists with new employers, and shares her advice for managers building analytics teams and those who may be testing the job market.

    In this session you will learn:

     More about the state of the talent pool, and what skills and experiences are available and where hiring demand is strongest
    What some analytics positions are commanding for salary and total compensation packages
    The types of lifestyle and work-life benefits strong candidates look for
    About innovative strategies that successful companies are using to hire and groom great talent

    The All Analytics Academy: Building a Successful Analytics Team series continues throughout November.

  • 00:31

    Shape the Next Generation of Data Scientists

    in Technology

    Demand for analytics professionals won't abate soon. Businesses around the world will be looking to hire young analytics professionals to support their big data initiatives. Those businesses will need analytics/data science professionals who are strong in data management, modeling, visualization, and other technical skills, but they also require business experience.

    Yes, the two worlds of technology and business can meet. Dr. Goutam Chakraborty, a professor of marketing at Oklahoma State University, is heading up a new masters in analytics program, based on what he has learned leading the school's previous certificate program. The new program will expose students to statistics, of course, but will also draw on staff expertise in information science, industrial engineering, and marketing.

    In this All Analytics Radio program, Dr. Chakraborty will share his experience and his advice on crafting an analytics program for the future, one that will prepare young data scientists to step into the business world ready to contribute to an analytics initiative, and he will help employers understand what they can expect from the classes of 2018 and beyond.

    In this show you will learn:

    About the strategies that colleges are using to shape an analytics workforce for the future
    How colleges and employers can work together to define curricula and internships
    About what type of impact today's undergraduate and graduate data science programs can have in closing the analytics skills gap.

    Join us at 2 pm (ET) on Tuesday, October 20, on All Analytics Radio.