Hi [[ session.user.profile.firstName ]]

The DataRobot Channel

  • Date
  • Rating
  • Views
  • Pontos chave para o sucesso do Machine Learning na sua organização
    Pontos chave para o sucesso do Machine Learning na sua organização Tom de Godoy Recorded: Feb 22 2018 58 mins
    O machine learning está mudando a forma como organizações de todos os setores lidam com análises preditivas. Mesmo com toda a movimentação e jargões de mercado — machine learning, inteligência artificial, deep learning e modelagem estatística — é cada vez mais difícil separar o fato da ficção à medida que você avalia soluções de machine learning.

    Em meio ao desafio de contratar e reter de talentos — cientistas de dados, engenheiros, analistas, profissionais de TI — torna-se um pesadelo decidir quem pode alavancar e implementar tecnologias de análises preditivas e adotar com sucesso o machine learning.
  • Multichannel Marketing Attribution with Automated Machine Learning
    Multichannel Marketing Attribution with Automated Machine Learning Colin Priest Recorded: Feb 22 2018 47 mins
    Companies are spending more than ever on marketing. According to the Harvard Business Review, it is estimated that global spending on media is expected to reach $2.1 trillion by 2019. But is all that money effective in producing improved ROI? Without knowing which channels are driving sales, or more specifically, which individual marketing activities are working, marketing spending is a black box.

    On this webinar, Data Scientist Colin Priest of DataRobot explains the importance of multichannel, multi-touch attribution to accurately measure the success of your marketing efforts – and how automated machine learning offers the shortest path to success.
  • Machine Learning for Mission Success: Data Science for the Federal Executive
    Machine Learning for Mission Success: Data Science for the Federal Executive Erin Hawley Recorded: Feb 22 2018 60 mins
    Within the federal sector, machine learning and artificial intelligence are treated like a distant possibility rather than an immediate reality. Considerable confusion exists about how the government can implement technology to automate predictive analytics and free data scientists to make educated decisions in real time, rather than crunch algorithms.



    The objective of this webinar is to help educate the federal community about the realities, and real possibilities, data science can provide. See how agencies can start implementing machine learning for mission success.
  • Analytics Strategy of a 21st Century Insurance Company
    Analytics Strategy of a 21st Century Insurance Company Satadru Sengupta Recorded: Feb 21 2018 56 mins
    There is no doubt about the impact of predictive analytics in any insurance company – large, medium, or small. The question that everyone is asking: how can we bring a sustainable, cost-effective, and consumer centric predictive analytics strategy within the organization? Machine Learning Automation is the answer to that question.

    This 60 minute on-demand webinar provides an overview of predictive modeling, machine learning, and Artificial Intelligence (AI) in the insurance industry, offering insights into how these technologies will impact growth and profitability. You’ll also learn the three main aspects of a sustainable and cost-effective predictive analytics strategy in an insurance company:
  • How to Avoid Building Bad Models
    How to Avoid Building Bad Models Jen Underwood Recorded: Feb 21 2018 59 mins
    Don’t be naive when it comes to automated machine learning. Despite the unprecedented speed and ease of creating automated predictive models today, the human mind is still essential for generating good models.



    From selecting the right problem to solve to preventing algorithm bias, machine learning is still an art and a science. To reap the benefits of automated machine learning, Jen Underwood, Founder of Impact Analytix, will share the most common mistakes – and battle-proven practices – to help you build better models.
  • Moving from BI to Automated Machine Learning
    Moving from BI to Automated Machine Learning Jen Underwood Recorded: Feb 21 2018 56 mins
    Machine Learning has become a competitive differentiator in a big data world. Vast amounts of data are already overwhelming existing BI tools and analytics processes. When faced with hundreds of variables, a human’s ability to efficiently identify new insights or detect changing patterns manually has also been exceeded. To address these challenges, BI and analytics professionals are adopting user-friendly, automated machine learning solutions.



    In this on-demand webinar, recognized analytics industry expert Jen Underwood discusses how BI and analytics professionals can get started with automated machine learning.
  • The Fast Path to Success with AI
    The Fast Path to Success with AI Greg Michaelson Recorded: Feb 21 2018 54 mins
    In this webinar, Greg Michaelson, PhD, and Head of DataRobot Labs, reviews the practical first steps an organization takes towards becoming an AI-driven enterprise and remaining competitive in the coming years.
  • Enhancing Customer 360 Models with Automated Machine Learning
    Enhancing Customer 360 Models with Automated Machine Learning Raju Penmatcha and Justin Dickersson Recorded: Feb 21 2018 58 mins
    Predicting customer behavior is quite challenging. However, knowledge of a customer at an individual level offers enormous benefits. A company with such knowledge can provide better customer experience and retention, targeted marketing, increase sales, and proactive care. But many existing customer models are very macro in nature and fail to deliver at an individual level.

    Machine Learning allows us to build such micro level models by taking into account all digital touch points of a customer with the company. These models will help predict what a customer is going to do next, what their near-future behavior will be and what response to anticipate from an action.

    On this webinar, you’ll hear the current state of machine learning in Customer 360 – and then learn how you can stay one step ahead in building highly customer-centric models for your business.
  • Data Preparation Essentials for Automated Machine Learning
    Data Preparation Essentials for Automated Machine Learning Jen Underwood Recorded: Feb 21 2018 55 mins
    In order to run successful machine learning projects, and create highly-accurate predictive models for your business, you need effective data preparation. Although machine learning automation provides safeguards to prevent common mistakes, you’ll still want to correctly prepare, shape and format your data to generate optimal models.



    In this on-demand webinar, Jen Underwood, Founder of Impact Analytix reviews how to organize data in a machine learning-friendly format that accurately reflects the business process and outcomes. She shares basic guidelines, practical tips, and additional resources to help get you started mastering the essence of predictive model data preparation.
  • Enhancing Anti-Money Laundering (AML) Programs with Automated Machine Learning
    Enhancing Anti-Money Laundering (AML) Programs with Automated Machine Learning Dan Yelle Recorded: Feb 21 2018 47 mins
    Compliance organizations within banks and other financial institutions are turning to machine learning for improving their AML compliance programs. Today, the systems that aim to detect potentially suspicious activity are commonly rule-based, and suffer from ultra-high false positive rates. Automated machine learning provides a solution to address this challenge.



    In this webinar, Dan Yelle, a Customer-Facing Data Scientist for DataRobot will show how automated machine learning can be used to reduce false positive rates, thereby improving the efficiency of AML transaction monitoring and reducing costs.

Embed in website or blog