The Future of Data Podcast | conversation with leaders, influencers, and change makers in the World of Data & Analytics

In this podcast, Jim Sterne shares how marketing has evolved through disruptive times. He shares some of the best practices in the marketing and digital analytics space. He sheds light on some opportunities in the marketing and analytics space and how machine learning is changing the face of digital and marketing. This is a great podcast for anyone looking to understand how AI is impacting marketing and what are some big opportunities in marketing and digital.

Timeline:

0:30 Jim's journey.

5:25 The evolution of marketing.

8:45 Breaking down the digital.

11:40 Marketing and analytics.

13:27 Misuse of analytics in marketing.

17:35 Resolving bad data and bias.

22:20 Good digital analyst vs. bad digital analyst.

28:06 Defining a well-oiled marketing machine.

30:33 Marketing industry's adoption of technology.

34:19 Technology adoption strategy.

38:23 Impact of machine learning and digital marketing.

42:19 Decision making, accountability, and AI.

47:08 Advice for start-ups.

48:52 Disruption opportunities in digital marketing.

55:57 Ethics and marketing.

58:52 What's next in digital marketing.

1:02:27 Jim's success mantra.

1:05:36 Jim's reading list.

1:07:30 Key takeaways.

Jim's Books: amzn.to/2KB1QCR

Jim's Current Read List:

Shift: 19 Practical, Business-Driven Ideas for an Executive in Charge of Marketing but Not Trained for the Task by Sean Doyle amzn.to/2KG4K9d

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost and Tom Fawcett amzn.to/2AWR3Dz

Podcast Link:

https://futureofdata.org/future-of-data-in-marketing-digital-jimsterne/

Jim's BIO:

Jim Sterne focused his thirty-five years in sales and marketing to create and strengthen customer relationships through digital communications. He sold business computers to companies that had never owned one in the 1980s, consulted and keynoted online marketing in the 1990s, and founded a conference and a professional association around digital analytics in the 2000s, following his humorous Devil's Data Dictionary. Sterne has just published his twelfth book Artificial Intelligence for Marketing: Practical Applications. Sterne produced the eMetrics Summit from 2002 - 2017 and now produces the Marketing Evolution Experience. He was co-founder and served for 17 years as the Board Chair of the Digital Analytics Association.

Jim was named one of the 50 most influential people in digital marketing by a top marketing magazine in the United Kingdom and identified as one of the top 25 Hot Speakers by the National Speakers Association.

About #Podcast:

#FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join?

If you or any you know wants to join in,

Register your interest by mailing us @ [email protected]

Want to sponsor?

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Keywords:

FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

In this podcast, Dennis Mortensen (@DennisMortensen @XdotAI) sat with Vishal Kumar from @AnalyticsWeek to discuss his entrepreneurial journey of building successful analytics startups. He shares his journey to starting advanced analytics at AI startup x.ai and how he is solving an important productivity killer using AI. He shared his challenges and opportunities of being an early entrant into the AI startup space. He also shared his thoughts on Google Wave and Google Duplex and what to expect from these technologies in the future.

Timelines:

0:28 Dennis's journey

4:46 Dennis's "why."

9:50 Dennis's success mantra.

14:45 Making of X.ai

19:03 Educating the market

22:34 Surprises on the way

30:05 Killing the inbox

35:50 Why the calendar?

39:07 About Google. duplex

50:05 Future of work

55:00 Recommended books.

Dennis's Recommended Read:

The Narrow Road: A Brief Guide to the Getting of Money by Felix Dennis amzn.to/2vaJ1S4

Undisputed Truth by Mike Tyson, Larry Sloman amzn.to/2ACOypK

Shoe Dog: A Memoir by the Creator of Nike by Phil Knight amzn.to/2MaFMAu

Podcast Link:

https://futureofdata.org/road-to-building-a-successful-ai-startup-dennismortensen-xdotai-futureofdata-podcast/

Dennis's BIO:

Dennis Mortensen is the CEO and co-founder of x.ai.

Dennis is an expert in leveraging data to solve enterprise use cases and a serial entrepreneur who’s successfully exited several companies on that theme.

His long-term vision of killing the inbox led to the formation of x.ai and the creation of Amy + Andrew, artificially intelligent assistants who schedule meetings. He frequently speaks to anyone who’ll listen, from the crowds of Web Summit to his building’s doorman, about an optimistic future for AI, productivity, and the future of work.

Dennis was also an accredited Associate Analytics Instructor at the University of British Columbia and the author of Data-Driven Insights, on collecting and analyzing digital data.

About #Podcast:

#FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join?

If you or any you know wants to join in,

Register your interest by emailing us @ [email protected]

Want to sponsor?

Email us @ [email protected]

Keywords:

FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

In this podcast, Seth Stephens-Davidowitz (@SethD_S), author of New York Times Bestseller Everybody Lies, discussed what our social data knows about us. He shares some critical insights into the human psyche on how humans behave differently to machines than fellow humans. This sheds some interesting light on today's data-driven disruptive times when curiosity to stay relevant and data-driven is at an all-time high. This is a great podcast to understand the capability that data has and how it could benefit humanity, businesses, and clients if used properly—a great session for anyone willing to understand the depth of data and how to use it effectively.

Timelines:

0:29 Seth's journey.

4:23 Story behind "Everybody lies".

7:27 Finding the right searches to analyze.

8:42 Surprising findings on analyzing the internet searches of people.

10:50 Confusion and human search data.

12:55 Google search recommendation's effect on human search data.

15:47 To google or not to google.

17:48 Are surveys reliable?

19:29 Safeguarding against fake data.

22:30 Compromised privacy may be a good thing.

24:30 Seth's favorite tool or language.

25:40 Challenges in working with data.

26:22 Finding a hypothesis in human search data.

28:02 Political predictions through data.

32:10 On Cambridge Analytica

35:05 The ethics of data.

39:05 On AI

41:24 Defining a data scientist.

43:11 Key points of "Everybody lies".

44:17 Secret behind Seth's success.

45:50 Journey from a basketball to data scientist.

48:03 Seth's favorite reads.

48:34 Key takeaways.

Seth's Book:

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz amzn.to/2OA0YBs

Seth's Recommended Read:

Enlightenment Now: The Case for Reason, Science, Humanism, and Progress by Steven Pinker amzn.to/2Kl2nsr

Podcast Link:

https://futureofdata.org/understand-social-data-to-know-human-psyche-seths_d-author-nytbestseller-everybody-lies-futureofdata-podcast/

Seth's BIO:

Seth Stephens-Davidowitz has used data from the internet -- particularly Google searches -- to get new insights into the human psyche.

Seth has used Google searches to measure racism, self-induced abortion, depression, child abuse, hateful mobs, the science of humor, sexual preference, anxiety, son preference, and sexual insecurity, among many other topics.

His 2017 book, Everybody Lies, published by HarperCollins, was a New York Times bestseller, a PBS NewsHour Book of the Year, and an Economist Book of the Year.

Seth worked for one-and-a-half years as a data scientist at Google and is currently a contributing op-ed writer for the New York Times. He is a former visiting lecturer at the Wharton School at the University of Pennsylvania.

He received his BA in philosophy, Phi Beta Kappa, from Stanford, and his Ph.D. in economics from Harvard.

In high school, Seth wrote obituaries for the local newspaper, the Bergen Record, and was a juggler in theatrical shows. He now lives in Brooklyn and is a passionate fan of the Mets, Knicks, Jets, Stanford football, and Leonard Cohen.

About #Podcast:

#FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join?

If you or any you know wants to join in,

Register your interest by mailing us @ [email protected]

Want to sponsor?

Email us @ [email protected]

Keywords:

FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

In this podcast Jason Carmel(@defenestrate99) Chief Data Officer @ POSSIBLE talks about his journey leading data analytics practice of digital marketing agency. He sheds light on some methodologies for building a sound data science practice. He sheds light on using data science chops for doing some good while creating traditional value. He shared his perspective on keeping team-high on creativity to keep creating innovative solutions. This is a great podcast for anyone looking to understanding the digital marketing landscape and how to create a sound data science practice.

Timelines:

0:29 Jason's journey.

6:40 Advantage of having a legal background for a data scientist.

9:15 Understanding emotions based on data.

13:54 The empathy model.

14:53 From idea to inception to execution.

23:40 The role of digital agencies.

30:20 Measuring the right amount of data.

32:40 Management in a creative agency.

34:40 Leadership qualities that promote creativity.

38:14 Leader's playbook in a digital agency.

40:50 Qualities of a great data science team in the digital agency.

44:30 Leadership's role in data creativity.

47:00 Opportunites as a data scientist in the digital agency.

49:18 Future of data in digital media.

51:38 Jason's success mantra.

53:30 Jason's favorite reads.

57:11 Key takeaways.

Jason's Recommended Read:

Trendology: Building an Advantage through Data-Driven Real-Time Marketing by Chris Kerns amzn.to/2zMhYkV

Venomous: How Earth's Deadliest Creatures Mastered Biochemistry by Christie Wilcox amzn.to/2LhqI76

Podcast Link:

https://futureofdata.org/jason-carmel-defenestrate99-possible-leading-analytics-data-digital-marketing/

Jason's BIO:

Jason Carmel is Chief Data Officer at Possible. With nearly 20 years of digital data and marketing experience, Jason has worked with clients such as Coca Cola, Ford, and Microsoft to evolve digital experiences based on real-time feedback and behavioral data. Jason manages a global team of 100 digital analysts across POSSIBLE, a digital advertising agency that uses traditional and unconventional data sets and models to help brands connect more effectively with their customers.

Of particular interest is Jason’s work using data and machine learning to define and understand the emotional components of human conversation. Jason spearheaded the creation of POSSIBLE’s Empathy Model, with translates the raw, unstructured content of social media into a quantitative understanding of what customers are actually feeling about a given topic, event, or brand.

About #Podcast:

#FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join?

If you or any you know wants to join in,

Register your interest by mailing us @ [email protected]

Want to sponsor?

Email us @ [email protected]

Keywords:

FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

This podcast spends time discussing Tim O'Reilly's futuristic perspective on data, analytics, AI, jobs, and organization. He sheds light on what are somethings businesses could do to stay relevant and future proof. He discussed his book and shared some of the key insights relevant to anyone thinking of staying relevant in the World led by technology and impacting the future. A must video for anyone working!

Timeline:

00:28 Tim's journey.

06:03 Tim's current occupation.

10:50 Interesting work for interesting people.

15:08 Thinking behind the title "What's the future".

23:41 Culture and technology evolution.

26:29 Creating value for the shareholder.

35:06 Learning a new skill.

38:12 Labor and technology.

47:07 Investing in humans or technology?

56:02 The role of AI in Media.

59:45 How can an employee stay relevant?

1:04:28 Tim's favorite books.

1:09:38 Key takeaways.

Tim's Book:

WTF?: What's the Future and Why It's Up to Us by Tim O'Reilly https://amzn.to/2N5WhOn

Tim's Recommended Read:

AI Superpowers: China, Silicon Valley, and the New World Order by Kai-Fu Lee https://amzn.to/2N8VGLL

Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal and Joshua Gans https://amzn.to/2ugQBKr

The Long Twentieth Century: Money, Power and the Origins of Our Times by Giovanni Arrighi https://amzn.to/2ufhb6R

Doughnut Economics: Seven Ways to Think Like a 21st-Century Economist by Kate Raworth https://amzn.to/2LcbLQc

Winners Take All: The Elite Charade of Changing the World by Anand Giridharadas https://amzn.to/2utgeXF

New Power: How Power Works in Our Hyperconnected World--and How to Make It Work for You by Jeremy Heimans and Henry Timms https://amzn.to/2NbBJ77

Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed by James C. Scott https://amzn.to/2ztnoRz

The Struggle for Survival: An Historical, political, and Socioeconomic Perspective of St. Lucia by Anderson Reynolds https://amzn.to/2uqF22w

Podcast Link:

https://futureofdata.org/discussing-jobs-data-and-whatsthefuture-with-timoreilly-futureofdata-podcast/

Tim's BIO:

Tim O’Reilly is the founder and CEO of O’Reilly Media, Inc. His original business plan was “interesting work for interesting people,” which worked out pretty well. O’Reilly Media delivers online learning, publishes books, runs conferences, urges companies to create more value than they capture, and tries to change the world by spreading and amplifying the knowledge of innovators.

Tim has a history of convening conversations that reshape the computer industry. In 1993, he launched the first commercial, ad-supported site on the internet. In 1998, he organized the meeting where the term “open source software” was agreed on and helped the business world understand its importance. In 2004, with the Web 2.0 Summit, he defined how “Web 2.0” represented not only the resurgence of the web after the dot com bust, but a new model for the computer industry, based on big data, collective intelligence, and the internet as a platform. In 2009, with his “Gov 2.0 Summit,” he framed a conversation about the modernization of government technology that has shaped policy and spawned initiatives at the Federal, State, and local level and around the world. He has now turned his attention to the implications of AI, the on-demand economy, and other technologies that are transforming the nature of work and the future shape of the business world. This is the subject of his forthcoming book from Harper Business, WTF: What’s the Future and Why It’s Up to Us.

About #Podcast:

#FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey in creating the data-driven future.

Wanna Join?

If you or any you know wants to join in or sponsor,

Email us @ [email protected]

Keywords:

#FutureOfData #DataAnalytics #Leadership #Futurist #Podcast #BigData #Strategy

In this podcast, Don Kettl, Professor, LBJ School, the University of Texas at Austin, talks about the future of the public sector in the mid of data and analytics capability disruptions. Don talked about some of the biggest opportunities in the public policy space. He sheds light on how the future public policy officers would design the organizations that grow with time. He sheds light on the future of jobs in the public sector and how data could disrupt the space to increase its impact. This session is great for people interested in learning about public sector data and jobs impact through big data evolution.

TIMELINE:

0:28 Don's journey.

5:16 Premise of "Little bites of big data policy".

7:16 Data in the government sector.

11:18 Example of good data framework in state governments.

13:49 The need for good cooperation between the private and public sectors.

17:56 Opportunities for data in the public sector.

21:37 The failure of data in the public sector.

27:54 Perspective on open data.

33:58 Future of data in the public sector.

41:42 The role of government in data businesses.

48:58 Can government data policies go global?

55:56 Don's success mantra.

59:43 Don's reading list.

1:01:30 How does Don avoid bias?

1:07:00 Key takeaways.

Don's Book:

Little Bites of Big Data for Public Policy by Donald F Kettl amzn.to/2zfpKDn

Politics of the Administrative Process by Donald F Kettl amzn.to/2KS34KY

and more at: amzn.to/2u12gg8

Podcast Link:

https://futureofdata.org/future-of-public-sector-and-jobs-in-bigdata-world-futureofdata-podcast/

Don's BIO:

Donald F. Kettl is a professor at the Lyndon B. Johnson School of Public Affairs at the University of Texas at Austin. He is also a nonresident senior fellow at the Volcker Alliance and the Brookings Institution.

Kettl is the author or editor of numerous books, including Can Governments Earn Our Trust? (2017); Little Bites of Big Data for Public Policy (2017); The Politics of the Administrative Process (7th edition, 2017). Three of his books have received national best-book awards. The Transformation of Governance (2002); and System under Stress: Homeland Security and American Politics (2005) and Escaping Jurassic Government: How to Recover America’s Lost Commitment to Competence.

He has received three-lifetime achievement awards: the American Political Science Association’s John Gaus Award, the Warner W. Stockberger Achievement Award of the International Public Management Association, and the Donald C. Stone Award of the American Society for Public Administration, for significant contributions to the field of intergovernmental relations.

Kettl holds a Ph.D. in political science from Yale University. Before his appointment at the University of Maryland, he taught at the University of Pennsylvania, Columbia University, the University of Virginia, Vanderbilt University, and the University of Wisconsin-Madison. He is a fellow of Phi Beta Kappa and the National Academy of Public Administration.

He has appeared frequently in national and international media, including National Public Radio, the Fox News Channel, Good Morning America, ABC World News Tonight, NBC Nightly News, CBS Evening News, CNN’s “Anderson Cooper 360” and “The Situation Room,” the Huffington Post, as well as public television’s News Hour and the BBC.

Kettl is a shareholder of the Green Bay Packers, along with his wife, Sue.

About #Podcast:

#FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join?

If you or any you know wants to join in,

Register your interest @ analyticsweek.com/

Want to sponsor?

Email us @ [email protected]

Keywords:

#FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast Mike Tamir (@MikeTamir, Head of #DataScience) talked about building a data science AI team. He shared his AI project (FakerFact.org). He shared the lifecycle of an AI project and some things that leaders could keep in mind to help create a successful data science AI team. This podcast is great for leaders learning to build a strong AI workforce.

TIMELINE:

0:28 Micheal's journey.

2:36 Micheal's current role.

3:18 AI and businesses.

5:28 Parameters to consider for AI adoption.

9:30 When do businesses invest in ML resources.

13:20 Tips for candidates in vetting data companies.

16:05 What's the faker fact?

20:45 Getting started on an AI product design.

24:58 Achieving accuracy in data.

27:40 AI the newsmaker and AI the fact-checker.

33:56 Tips for hiring the right data leader for a business.

35:32 Creating a great data science team.

37:19 Challenges in forming a data science team.

39:00 In job training to achieve technological competence.

44:00 Ingredients of a good hire.

47:35 Micheal's secret to success.

50:55 Micheal's favorite reads.

54:20 Key takeaways.

Mike's Recommended Read:

What Technology Wants by Kevin Kelly https://amzn.to/2MaNiuN

Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville http://www.deeplearningbook.org/

Podcast Link:

https://futureofdata.org/building-data-science-ai-teams-by-miketamir-uberatg-futureofdata-podcast/

Mike's BIO:

Mike serves as Head of Data Science at Uber ATG, UC Berkeley Data Science faculty, and head of Phronesis ML Labs. He has led teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust and Takt, Director of Data Sciences for MetaScale/Sears, and CSO for Galvanize, where he founded the galvanizeU-UNH accredited Masters of Science in Data Science degree and oversaw the company's transformation from co-working space to Data Science organization. Mike's most recent passion in research has involved applying Machine Learning techniques to help combat fake news through the FakerFact.org project

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.

Wanna Join?

If you or any you know wants to join in,

Register your interest @ https://analyticsweek.com/

Want to sponsor?

Email us @ [email protected]

Keywords:

#FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, @RobertoMaranca shared his thoughts on running a large data-driven organization. He shared his thoughts on the future of data organizations through compliance and privacy. He shared how businesses could survive policy like GDPR and prepare themselves for better data transparency and visibility. This podcast is great for leadership, leading a transnational corporation.

TIMELINE:

0:28 Roberto's journey.

8:18 Best practices as a data steward.

16:58 Data leadership and GDPR.

22:18 Impact of GDPR.

25:34 GDPR creating better knowledge archive.

29:27 GDPR and IOT infrastructure.

35:08 Shadow IT phenomenon and consumer privacy.

44:54 Suggestions for enterprises to deal with privacy disruption.

50:52 Data debt.

53:10 Opportunities in new privacy frameworks.

57:52 Roberto's success mantra.

1:02:38 Roberto's favorite reads.

Roberto's Recommended Read:

Team of Teams: New Rules of Engagement for a Complex World by General Stanley McChrystal and Tantum Collins https://amzn.to/2kUxW1K

Do Androids Dream of Electric Sheep?: The inspiration for the films Blade Runner and Blade Runner 2049 by Philip K. Dick https://amzn.to/2xOOpxZ

A Scanner Darkly by Philip K. Dick https://amzn.to/2sAsUMs

Other Philip K. Dick Books @ https://amzn.to/2JBwwY0

Podcast Link:

https://futureofdata.org/data-leadership-through-privacy-gdpr-by-robertomaranca/

Roberto's BIO:

With almost 25 years of experience in the world of IT and Data, Roberto has spent most its working life with General Electric in their Capital Division, where since 2014, as Chief Data Officer for their International Unit, he has been overlooking the implementation of the Data Governance and Quality frameworks, spanning from supporting risk model validation to enabling divestitures and leading their more recent Basel III data initiatives.

For the last year, he has held the role of Chief Data Officer at Lloyds Banking Group, shaping and implementing a new Data Strategy and dividing his time between BCBS 239 and GDPR programs.

Roberto has got a Master’s Degree in Aeronautical Engineering from “Federico II” Naples University.

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 @ [email protected]

Keywords:

#FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast @BesaBauta from MeryFirst talks about the compliance and privacy challenges faced in the hyper regulated industry. With her experience in health informatics, Besa shared some best practices and challenges faced by data science groups in health informatics and other similar groups in regulated space. This podcast is great for anyone looking to learn about data science compliance and privacy challenges.

TIMELINE:

0:28 Besa's journey.

6:05 Besa's current role.

9:30 Privacy and compliance in health informatics.

14:44 Are the current privacy regulations sufficient?

16:15 Data management in different organizations.

22:37 The negatives for compliance policies on data.

26:28 Hiring a good chief data officer.

30:20 Vetting a company as a CDO.

32:38 Challenges for a startup in the healthcare sector.

36:25 Common challenges for data officers in the healthcare sector.

38:29 Millenials and technology.

40:05 Leadership dealing with compliance policies.

46:26 Requirements for working in health informatics.

49:18 Ingredients of a perfect hire.

50:40 Besa's success mantra.

52:35 How does Besa stay updated?

54:37 Besa's favorite read.

57:04 Key takeaway.

Besa's Recommended Read:

The Art Of War by Sun Tzu and Lionel Giles https://amzn.to/2Jx2PYm

Podcast Link:

https://futureofdata.org/compliance-and-privacy-in-health-informatics-by-besabauta/

Besa's BIO:

Dr. Besa Bauta is the Chief Data Officer and Chief Compliance Officer for MercyFirst, a social service organization providing health and mental health services to children and adolescents in New York City. She oversees the Research, Evaluation, Analytics, and Compliance for Health (REACH) division, including data governance and security measures, analytics, risk mitigation, and policy initiatives.

She is also an Adjunct Assistant Professor at NYU and previously worked as a Research Director for a USAID project in Afghanistan and as the Senior Director of Research and Evaluation at the Center for Evidence-Based Implementation and Research (CEBIR). She holds a Ph.D. in implementation science with a focus on health services, an MPH in Global Health, and an MSW. Her research has focused on health systems, mental health, and technology integration to improve population-level outcomes.

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 @ [email protected]

Keywords:

#FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

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 @ [email protected]

Keywords:

#FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy