Where Chief Data Scientist & Open Source Meets - @dandegrazia #FutureOfData #Podcast

Where Chief Data Scientist & Open Source Meets - @dandegrazia #FutureOfData #Podcast

Author: AnalyticsWeek July 26, 2018 Duration: 1:09:33
In this podcast @DanDeGrazia from @IBM spoke with @Vishaltx from @AnalyticsWeek to discuss the mingling of chief data scientist with open sources. He sheds light into some of the big opportunities in open source and how businesses could work together to achieve progress in data science. Dan also shared the importance of smooth communication for success as a data scientist. TIMELINE: 0:29 Dan's journey. 9:40 Dan's role in IBM. 11:26 Tips on staying consistent while creating a database. 16:23 Chief data scientist and open-source put together. 20:28 The state of open source when it comes to data. 23:50 Evaluating the market to understand business requirements. 29:19 Future of data and open-source market. 33:23 Exciting opportunities in data. 37:06 Data scientist's role in integrating business and data. 49:41 Ingredients of a successful data scientist. 53:04 Data science and trust issues. 59:35 Human element behind data. 1:01:20 Dan's success mantra. 1:06:52 Key takeaways. Dan's Recommended Read: The Five Temptations of a CEO, Anniversary Edition: A Leadership Fable by Patrick Lencioni https://amzn.to/2Jcm5do What Every BODY is Saying: An Ex-FBI Agent8217;s Guide to Speed-Reading People by Joe Navarro, Marvin Karlins https://amzn.to/2J1RXxO Podcast Link: https://futureofdata.org/where-chief-data-scientist-open-source-meets-dandegrazia-futureofdata-podcast/ Dan's BIO: Dan has almost 30 years of experience working with large data sets. Starting with the unusual work of analyzing potential jury pools in the 1980s, Dan also did some of the first PC based voter registration analytics in the Chicago area, including putting the first complete list of registered voters on a PC (as hard as that is to imagine today a 50-megabyte hard drive on DOS systems was staggering). Interested in almost anything new and technical, he worked at The Chicago Board of Trade. He taught himself BASIC to write algorithms while working as an Arbitrager in financial futures. After the military, Dan moved to San Francisco. He worked with several small companies and startups designing and implementing some of the first PC-based fax systems (who cares now!), enterprise accounting software, and early middleware connections using the early 3GL/4GL languages. Always perusing the technical edge cases, Dan worked for InfoBright, a Column store Database startup in the US and EMEA, at Lingotek, an In-Q-Tel funded company working in large data set translations and big data analytics companies like Datameer and his current position as a Chief Data Scientist for Open Source in the IBM Channels organization. Dan's current just for fun Project is working to create an app that will record and analyze bird songs and provide the user with information on the bird and the specifics of the current song. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

The landscape of data and analytics is shifting faster than ever, driven by the people who build the systems, challenge the norms, and imagine what comes next. The Future of Data Podcast from AnalyticsWeek sits down with those very people for substantive, often unexpected, dialogues. Each episode is a direct conversation with a leader, an influencer, or a change maker who is actively shaping this dynamic world. You’ll hear less from theorists and more from practitioners in the trenches, discussing the real-world implications of new technologies, the evolving ethics of data use, and the practical strategies that separate hype from genuine transformation. This podcast delves into the human stories behind the data stacks, exploring the challenges, failures, and breakthroughs that define modern analytics. It’s a space for nuanced discussion that goes beyond surface-level trends to examine how data is fundamentally altering industries, governance, and our daily lives. Listen for candid insights on building effective teams, navigating the complexities of AI integration, and anticipating what the next decade of innovation might demand from professionals at every level. These are the essential conversations for anyone who needs to understand not just what is happening in data, but why it matters and where we might be headed. Tune in for a thoughtful exploration of the tools, ideas, and individuals charting the course forward.
Author: Language: English Episodes: 96

The Future of Data Podcast | conversation with leaders, influencers, and change makers in the World of Data & Analytics
Podcast Episodes
Data & Analytics Bi-Weekly Newsletter Cast Aug 31, 2017 [not-audio_url] [/not-audio_url]

Duration: 55:53
Data & Analytics Bi-Weekly Newsletter Cast Aug 31, 2017 Wanna chip-in to help #Houston? Here's the link: https://www.nytimes.com/2017/08/28/us/donate-harvey-charities-scams.html About #Podcast: #FutureOfData podcast is a…
Data & Analytics Bi-Weekly Newsletter Cast Aug 17, 2017 [not-audio_url] [/not-audio_url]

Duration: 1:05:38
Data & Analytics Bi-Weekly Newsletter Cast Aug 17, 2017 About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in cr…
Data & Analytics Bi-Weekly Newsletter Cast Aug 03, 2017 [not-audio_url] [/not-audio_url]

Duration: 48:43
Data & Analytics Bi-Weekly Newsletter Cast Aug 03, 2017 About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in cr…
Discussing Forecasting with Brett McLaughlin (@akabret), @Akamai [not-audio_url] [/not-audio_url]

Duration: 1:08:12
In this session, Brett McLaughlin, Chief Data Strategist at Akamai, discussed his journey to creating a forecasting solution. He sheds light on some limitations, some innovative thinking, and some hacks that one could us…