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International Institute for Analytics

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  • Competing for Analytics Talent: How to Win the War Competing for Analytics Talent: How to Win the War Analytics Talent Experts from Burtch Works, Linda Burtch and Katie Prezas with IIA Research Director, Dan Magestro Recorded: Oct 13 2016 61 mins
    As the adoption of a variety of analytics continues to grow across all industries, so does the focus on attaining a data-driven competitive advantage. A key requirement for becoming analytically competitive is that companies of all types, whether they are long-standing corporations or emerging startups, must invest in their analytics talent. With the ongoing talent shortage in analytics and the challenges of attracting the right talent, a strategic approach is necessary when recruiting and retaining analytics professionals.

    In this webinar, Burtch Works analytics talent experts, Linda Burtch and Katie Prezas will provide actionable guidance for hiring managers and analytics leaders looking to strengthen and grow their analytics teams.
  • The Industrial Internet of Things: Rise of the Machines The Industrial Internet of Things: Rise of the Machines IoT expert, Bill Roberts and IIA Research Director, Dan Magestro Recorded: Sep 22 2016 61 mins
    Presented by IoT expert, Bill Roberts, this webinar explores how the Industrial Internet of Things (IIoT) is having a dramatic impact on how manufacturers and service providers operate. From the factory floor to a distributed energy generation facility to anywhere a critical piece of equipment operates, machine data holds enormous potential to drive high levels of operational efficiency and unlock new service innovations.  This blending of operational technologies (OT) with Information Technology (IT) has created challenges with the data, the analytics lifecycle and a deep thinking into the roles of personnel.  A robust IoT analytics lifecycle can play a critical role in helping organizations separate the relevant signals from the noise in IIoT data, gain real time critical insights, and drive appropriate, timely action to realize the promised value of IIoT.  This session will explore these topics and offer insights on pursuing a successful industrial IoT strategy that leverages a robust analytics lifecycle.
  • The Artificial Intelligence Ecosystem: Analytics and the Rise of Data The Artificial Intelligence Ecosystem: Analytics and the Rise of Data Kris Hammond and Dan Magestro Recorded: Sep 15 2016 64 mins
    Presented by Kristian Hammond, IIA Faculty Member and Chief Scientist of Narrative Science, this webinar will walk you through the artificial intelligence ecosystem and outline the different subfields of technologies that fall under the umbrella of AI such as machine learning, advanced analytics, and advanced natural language generation.

    In this webinar, Kris will also walk through the use of AI in organizations today, the associated capabilities and practical business applications. The presentation will be followed by an interactive Q&A lead by the IIA Vice President of Research, Dan Magestro, with input from attendees.
  • Tightening the Reins on Credit Risk Modeling Tightening the Reins on Credit Risk Modeling Laurent Birade and John Voigt of SAS and Dan Magestro, IIA Research Director Recorded: Aug 25 2016 55 mins
    Many financial institutions recognize that they still do not have sufficient data management, infrastructure, or staffing in place to address all the issues brought about by the myriad of risk regulations. While larger banks continue to struggle with the qualitative aspects of supervisory stress testing and capital planning, IFRS 9 and the new CECL accounting standard will demand greater interconnection of Finance and Risk, more complex modeling, and increased public disclosure. Heightened expectations of strong model risk management and governance further strain organizations.

    To address these challenges, institutions are reexamining existing processes with a goal to establish a more efficient and controlled modeling environment—including model implementation and lifecycle management, orchestration, and governance. How can financial institutions ensure they have the foundational building blocks in place to meet these increasing demands?
  • Self Service Data Management for Analytics Users Across the Enterprise Self Service Data Management for Analytics Users Across the Enterprise Ken Pikulik and Bob Matsey from Teradata Corporation Recorded: Aug 10 2016 60 mins
    With the proliferation of analytics expanding across every function of the enterprise, the need for broader access to data by experienced data scientists and non-technical users to produce reports and make discovery is growing exponentially.

    The unintended consequences of this trend is a bottleneck within IT to deliver the necessary data while still maintaining the governance and data security standards required to safeguard this critical corporate asset.

    This presentation will illustrate how organizations are solving this challenge and enabling users to both access larger quantities of existing data as well as add new data to their own models without negatively impacting the quality, security or cost to store that data. It will also highlight some of the cost and performance benefits achieved by enabling self-service data management.
  • Automation and Augmentation: How Analytics is Changing the Workforce Automation and Augmentation: How Analytics is Changing the Workforce IIA Co-Founder Tom Davenport and IIA Research Director Daniel Magestro Recorded: Jul 13 2016 60 mins
    In the not-so-distant future, smart machines will be able to learn, predict and make decisions with greater speed and accuracy than the human mind. As artificial intelligence and cognitive systems become more mainstream, they hold the potential to dramatically augment how people and businesses function, with significant implications for workers and organizations.

    In this webinar, IIA Co-Founder Tom Davenport will discuss his new book, "Only Humans Need Apply: Winners and Losers in the Age of Smart Machines" and explain how advances in analytics have set the stage for this coming transformation. He'll also examine what happens to the workforce when machines start taking on work traditionally done by people.
  • Prescribing the Right Decisions with Prescriptive Analytics Prescribing the Right Decisions with Prescriptive Analytics Analytics Experts Tho Nguyen, Fiona McNeill and James Taylor Recorded: Jun 23 2016 58 mins
    Automation of everyday activities holds the promise of consistency, accuracy and relevancy. When applied to business operations, the additional benefits of governance, adaptability and risk avoidance are realized. Prescriptive analytics empowers both systems and front-line workers to take the desired company action – each and every time. And with data streaming from transactional systems, from IoT, and any other source – doing the right thing with exceptional processing speed embodies the responsive necessity that customers depend on.

    This talk will describe how to enable prescriptive analytics – in current business environments and in the emerging IoT.
  • IoT Analytics in Practice IoT Analytics in Practice Bill Franks, Chief Analytics Officer at Teradata Corporation Recorded: Jun 7 2016 58 mins
    The Internet of Things (IoT) is quickly becoming one of the most-hyped terms in the big data industry. But, as the concept of the IoT becomes more familiar, and organizations realize these new data streams that need to be captured, how they can derive value from them is a question that needs to be answered. And analytics is the key to making investments in IoT technology worthwhile.
  • Ranking Analytics Maturity by Industry Ranking Analytics Maturity by Industry Jack Phillips, CEO, The International Institute for Analytics Recorded: May 12 2016 60 mins
    To succeed with analytics initiatives, your company needs to know what high performance looks like, and which companies are getting it right.

    In this webinar, IIA CEO Jack Phillips and IIA Faculty Member Marc Demarest present highlights and key findings from IIA’s recently completed market study on enterprise analytics maturity. The market study (available to IIA member organizations) includes responses from 50 companies across 10 industries, including “digitally native” high performing companies and blue-chip industrial firms, using IIA’s proprietary analytics maturity assessment model.

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