TEACHING PEOPLE AND ORGANIZATIONS HOW TO APPLY DATA SCIENCE EFFECTIVELY
FROM PRACTICAL EXPERIENCES IN TOP GLOBAL ORGANIZATIONS, RESEARCH IN BANKING & FINANCIAL SERVICES, & REAL PROJECTS
LORENZO GALLUZI
In this amazing data science real application, an internationally recognized cell biologist and top scientist of his native Italy shares how he uses Data to find breakthroughs in cancer research. Running a lab at Weill Cornell in New York City for research and advancements in cancer therapies is Lorenzo´s passion and contributions to human advancement. How does he find therapies through data? How do we correlate his data analysis techniques to financial portfolio growth? find out by listening!
THOMAS RUPPEL
In this thought provoking real application, a recognized industry expert and thought leader with leadership experiences at JP Morgan Chase Bank and PNC Bank, explains how data has become and will continue to be, the paramount asset in the future of banks and financial services. Daring to judge data as the new chief driver of growth for banks, relationships, and currency, Tom is no doubt a mind that once heard, can change what you do, hear for yourself this profound perspective!
PART I
MARC PARADIS
This is Part 1 of a 3 part series. In this Podcast, we interview Marc Paradis, the Head of Data Strategy for North Wealth Holdings and Ventures. Here, we understand the evolution of Data Science as Marc's life mirror parallels the evolution of Data Science. Learn how Data Science evolved from the '.com' boom in the late 90's and the exciting opportunities that it presents today for people, and banking and investment enterprises.
MARC PARADIS
PART II
This is Part 2 of a 3 part series. Marc Paradis, a Data Scientist and executive leader, teaches us how to carry on impactful and real conversations with top Level Executives and the C-level Suite, making an emphasis and exemplifying the power of Narrative in explaining complex Data Science applications. Learn how to discuss Data Science solutions and position solutions for real impact.
MARC PARADIS
PART III
This is Part 3 of a 3 part series. Marc shares with us perspectives on approaches to manage the Ethics of Data Sciences. His approach explains why we might run into ethical dilemmas, as we use Data to shape policy and decision making, while offering a non-bias realistic perspective on how we can best engage disagreements and arrive to logical solutions.
MARIA SINGSON
PART I
In this podcast we introduce Dr. Maria Singson, Data Science General Manager at Mastech Info Trellis, a US based Data Intelligence and Data Science company providing solutions to a diverse portfolio of clients in multiple industries. You’ll listen to what and how her company delivers value through data, and will be introduced to the topic of data monetization, transitioning from Dr. Singson’s fascinating background.
SCOTT TAYLOR "THE DATA WHISPERER"
PART I
“A delightful perspective on how to implement Data Science starting from Data Management Strategy and funding. Scott Taylor, the “Data Whisperer”, a public speaker and published author in Data Management, has helped multin-national and global executives obtain funding for their data science and data management projects from senior leaders and investors in their Enterprises. We introduce a powerful mechanism on storytelling, covering Scott's powerful technique of bringing Vocabulary, Voice, and Vision as a prelude to successful data management and data science real applications.
SCOTT TAYLOR "THE DATA WHISPERER"
PART II
“A delightful perspective on how to implement Data Science starting from Data Management Strategy and funding. Scott Taylor, the “Data Whisperer”, a public speaker and published author in Data Management, has helped multin-national and global executives obtain funding for their data science and data management projects from senior leaders and investors in their Enterprises. We introduce a powerful mechanism on storytelling, covering Scott's powerful technique of bringing Vocabulary, Voice, and Vision as a prelude to successful data management and data science real applications.
LARRY BOYER
PART I
In this podcast, we introduce Larry Boyer, a Data Scientist Global Leader, with more than 30 years of experience in Data Science. Larry held positions as Director of Decision Analytics at HIS Global and was the Director of Insight of Credit and Market Risk for PWC. A Data Scientist power house shares with us fascinating insights from his real-life experiences. Listen in as he speaks on building successful Data Science enterprise solutions, taking into account factors beyond the data, such as team dynamics, diversity and inclusion, the Fourth Industrial Revolution, and particular to Banking and Financial Services credit and market risk insights.
LARRY BOYER
PART I
In this podcast, we introduce Larry Boyer, a Data Scientist Global Leader, with more than 30 years of experience in Data Science. Larry held positions as Director of Decision Analytics at HIS Global and was the Director of Insight of Credit and Market Risk for PWC. A Data Scientist power house shares with us fascinating insights from his real-life experiences. Listen in as he speaks on building successful Data Science enterprise solutions, taking into account factors beyond the data, such as team dynamics, diversity and inclusion, the Fourth Industrial Revolution, and particular to Banking and Financial Services credit and market risk insights.
LARRY BOYER
PART II
In this podcast, we introduce Larry Boyer, a Data Scientist Global Leader, with more than 30 years of experience in Data Science. Larry held positions as Director of Decision Analytics at HIS Global and was the Director of Insight of Credit and Market Risk for PWC. A Data Scientist power house shares with us fascinating insights from his real-life experiences. Listen in as he speaks on building successful Data Science enterprise solutions, taking into account factors beyond the data, such as team dynamics, diversity and inclusion, the Fourth Industrial Revolution, and particular to Banking and Financial Services credit and market risk insights.