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

In this podcast, @BillFranksGA talks about the ingredients of a successful analytics ecosystem. He shared his analytics journey, his perspective on how other businesses are engaging in data analytics practice. He also sheds some light on best practices that businesses could adopt to execute a successful data strategy.

Timeline: 0:28 Bill's journey. 4:00 Bill's journey as an analyst. 9:29 Maturity of the analytics market. 11:56 Business, IT, and Data. 16:18 Introducing centralized analytics practice in an enterprise. 19:50 Tips and strategies for chief data officers to deliver the goods. 26:07 What do businesses don't get about data analytics? 29:40 Is the future aligned with data or analytics. 34:25 Importance for leadership to understand analytics. 36:35 The role of analytics professionals in the age of AI. 41:42 Upgrading analytics models. 47:50 How much should a business experiment on AI. 55:25 Evaluating blockchain. 59:50 Bill's success mantra. 1:05:25 Bill's favorite reads. 1:07:17 Key takeaway.

Podcast Link: https://futureofdata.org/billfranksga-on-the-ingredients-of-successful-analytics-ecosystem-futureofdata-podcast/

Bill's BIO: Bill Franks is Chief Analytics Officer for The International Institute For Analytics (IIA), where he provides perspective on trends in the analytics and big data space and helps clients understand how IIA can support their efforts to improve analytic performance. He also serves on the advisory boards of multiple university and professional analytic programs. He has held a range of executive positions in the analytics space in the past, including several years as Chief Analytics Officer for Teradata (NYSE: TDC).

Bill is the author of the book Taming The Big Data Tidal Wave (John Wiley & Sons). In the book, he applies his two decades of experience working with clients on large-scale analytics initiatives to outline what it takes to succeed in today’s world of big data and analytics. The book made Tom Peter’s list of 2014 “Must Read” books and also the Top 10 Most Influential Translated Technology Books list from CSDN in China.

His focus has always been to help translate complex analytics into terms that business users can understand and to then help an organization implement the results effectively within their processes. His work has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations.

He earned a Bachelor’s degree in Applied Statistics from Virginia Tech and a Master’s degree in Applied Statistics from North Carolina State University.

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.

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast @AndyPalmer from @Tamr sat with @Vishaltx from @AnalyticsWeek to talk about the emergence/need/market for Data Ops, a specialized capability emerging from merging data engineering and dev ops ecosystem due to increased convoluted data silos and complicated processes. Andy shared his journey on what some of the businesses and their leaders are doing wrong and how businesses need to rethink their data silos to future proof themselves. This is a good podcast for any data leader thinking about cracking the code on getting high-quality insights from data.

Timelines: 0:28 Andy's journey. 4:56 What's Tamr? 6:38 What's Andy's role in Tamr. 8:16 What's data ops? 13:07 Right time for business to incorporate data ops. 15:56 Data exhaust vs. data ops. 21:05 Tips for executives in dealing with data. 23:15 Suggestions for businesses working with data. 25:48 Creating buy-in for experimenting with new technologies. 28:47 Using data ops for the acquisition of new companies. 31:58 Data ops vs. dev ops. 36:40 Big opportunities in data science. 39:35 AI and data ops. 44:28 Parameters for a successful start-up. 47:49 What still surprises Andy? 50:19 Andy's success mantra. 52:48 Andy's favorite reads. 54:25 Final remarks.

Andy's Recommended Read: Enlightenment Now: The Case for Reason, Science, Humanism, and Progress by Steven Pinker https://amzn.to/2Lc6WqK The Three-Body Problem by Cixin Liu and Ken Liu https://amzn.to/2rQyPvp

Andy's BIO: Andy Palmer is a serial entrepreneur who specializes in accelerating the growth of mission-driven startups. Andy has helped found and/or fund more than 50 innovative companies in technology, health care, and the life sciences. Andy’s unique blend of strategic perspective and disciplined tactical execution is suited to environments where uncertainty is the rule rather than the exception. Andy has a specific passion for projects at the intersection of computer science and the life sciences.

Most recently, Andy co-founded Tamr, a next-generation data curation company, and Koa Labs, a start-up club in the heart of Harvard Square, Cambridge, MA.

Specialties: Software, Sales & Marketing, Web Services, Service Oriented Architecture, Drug Discovery, Database, Data Warehouse, Analytics, Startup, Entrepreneurship, Informatics, Enterprise Software, OLTP, Science, Internet, eCommerce, Venture Capital, Bootstrapping, Founding Team, Venture Capital firm, Software companies, early-stage venture, corporate development, venture-backed, venture capital fund, world-class, stage venture capital

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.

Podcast link: https://futureofdata.org/emergence-of-dataops-age-andypalmer-futureofdata-podcast/

Wanna Join? If you or any you know wants to join in, Register your interest and email at [email protected]

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Aaron Black from Inova Translational Medicine Institute talks about his journey in creating/leading data science practice in healthcare. He shared some of the best practices, opportunities, and challenges concerning team dynamics, process orientation, and leadership relationship building. This podcast is great for anyone from ADP who talked about big data in HR. He shared some of the best practices and opportunities that reside in HR data. Aaron also shared some tactical steps to help build a better data-driven team to execute data-driven strategies. This podcast is great for folks looking to explore the depth of HR data and opportunities in the health and medicine domain.

Timeline: 0:28 Aaron's journey. 8:16 Defining translational medicine. 11:47 Defining precision medecine. 12:47 Data sharing between pharma companies. 15:03 Defining biobanking. 18:50 Data and healthcare industry. 22:20 Best practices in creating a healthcare database. 25:46 Tackling data regulations. 30:17 Best practices in creating data literacy in employees. 33:27 The culture of data scientists in the healthcare space. 36:09 Challenges that a data science leader faces in the healthcare space. 39:25 Opportunities in health data space. 42:19 Ingredients of a good data science leader in the healthcare space. 44:38 Tips for data science leaders in the healthcare space. 47:00 Putting together a data team in the healthcare space. 50:22 Aaron's success tips. 52:49 Aaron's reading list. 55:25 Closing remark.

Podcast link: https://futureofdata.org/understanding-futureofdata-in-health-medicine-thedataguru-inovahealth-futureofdata/

Aaron's Book Recommendations: Smartcuts: The Breakthrough Power of Lateral Thinking by Shane Snow amzn.to/2rH9xzJ When: The Scientific Secrets of Perfect Timing by Daniel H. Pink amzn.to/2rElebc

Aaron's BIO: Aaron Black, Chief Data Officer at the Inova Translational Medicine Institute. Healthcare Information Technology Executive and Data Evangelist. A results-driven technical leader with a 20+ year record of successful project and program implementations; Visionary, collaborative, and able to devise creative solutions and culture to complex business challenges.

Key thought leader, international speaker, team builder, and data architect in building advanced and one-of-a-kind technical and data infrastructure to support precision medicine initiatives in large and cutting edge health care institutions. A featured speaker and panelist at National Conferences and Councils including TEDx Tysons, NIH, Amazon ReInvent, Precision Medicine World Conference, Labroots, HIMSS, and an invited speaker at the National Research Council’s Standing Committee on Biological and Physical Sciences in Space (CBPSS).

Experience in start-up and new team development. Proven change-agent in diverse organizations and politically charged environments. A catalyst to create vision, motivation, and results across an entire enterprise. Creative thinker; organized, resolute, and able to direct multiple competing priorities with great precision while meeting strict deadlines and budget requirements. Strong healthcare and research industry knowledge, particularly in Life Sciences, with expertise in developing, implementing, and supporting large data enterprise architectures. Excellent interpersonal skills, work effectively with individuals of diverse backgrounds, and inspire teams to work to their fullest potential.

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 @ play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

futureofdata

leadership

data in hr

hr data

hris

big data

In this podcast, Steve Goldbach & Geoff Tuff from Deloitte sat with Vishal to discuss their recently released book "Detonate". They shared their insights on a cleaner way to create strategies for a future proof and transformation friendly organization. Their tactical suggestions go a long way in helping install a robust strategy to increase responsiveness. Timeline: 0:29 The author's journeys. 4:30 Motivation behind writing "Detonate". 8:31 Getting rid of best practices. 12:08 Relevance of "Detonate" for data ops employees. 14:28 Detonate mindset. 22:17 Fixing orthodoxies. 26:19 How can "detonate" serve different kinds of companies? 32:50 Reason behind failing companies. 36:02 Existing company culture vs. detonate mindset. 39:15 "Failure is not ok". 45:10 Aha moments while writing "Detonate". 47:35 The animations in "Detonate". 49:33 Selling the detonate mindset. 52:13 What's next in detonating mindset? 53:54 Steven's and Geoff's favorite reads. 58:15 Key takeaways.

Steve / Geoff's Recommended Read: Geoff's suggestion: Cloud Atlas: A Novel by David Mitchell The Opposable mind https://amzn.to/2rA5BAV The Last Days of Night: A Novel by Graham Moore https://amzn.to/2rAvErB

Steve's suggestion: Thinking, Fast and Slow by Daniel Kahneman https://amzn.to/2ryIx5C The Opposable Mind: How Successful Leaders Win Through Integrative Thinking by Roger L. Martin https://amzn.to/2Kds7Y2 The Big Short: Inside the Doomsday Machine by Michael Lewis https://amzn.to/2KaFgRI

Podcast Link: https://futureofdata.org/solving-futureoforgs-with-detonate-mindset-by-steven_goldbach-geofftuff-futureofdata/

Geoff's Bio: GEOFF TUFF is a principal at Deloitte and a senior leader of the firm’s Innovation and Applied Design practices. In the past, he led the design firm Doblin and was a senior partner at Monitor Group, serving as a member of its global Board of Directors before the company was acquired by Deloitte. He has been with some form of Monitor for more than 25 years. He holds degrees from Dartmouth College and Harvard Business School.

Steve's Bio: STEVEN GOLDBACH is a principal at Deloitte and serves as the organization’s chief strategy officer. He is also a member of the Deloitte U.S. executive leadership team. Before joining Deloitte, Goldbach was a partner at Monitor Group and head of its New York office. Goldbach helps executives and their teams transform their organizations by making challenging and pragmatic strategy choices in the face of uncertainty. He is an architect, expert practitioner, and teacher of the variety of strategy methodologies developed and used by Monitor Deloitte over the years. Serving clients in many industries, including consumer products, telecommunications, media, and health care, Goldbach helps companies combine rigor and creativity to create their own future. He holds degrees from Queen’s University at Kingston and Columbia Business School.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #Leadership #Podcast #Future of #Work #Worker & #Workplace

In this podcast, Harsh Tiwari, Former CDO CUNA Mutual Group, sheds light on data science leadership in the financial / risk sector. He shares some key takeaway insights for aspiring leaders to take for managing large enterprise data science practice. He shared the importance of collaborations and a growth mindset via a partnership. He discussed his "So what" approach to problem-solving. This podcast is great for any listener willing to understand some best practices for being a data-driven leader.

Timeline: 0:28 Harsh's journey. 5:44 Harsh's current role. 10:17 Ideal location for a chief data officer. 14:42 Ideal CDO role and placement. 20:15 Capital One's best practices in managing data. 25:28 How are the credit unions and regional banks placed in terms of data management. 31:20 Introducing data to well-performing banks. 38:05 Getting started as a CDO in a bank. 43:21 Checklist for a business to hire a CDO. 48:35 Keeping oneself sane during the technological disruption. 54:13 Harsh's success mantra. 58:51 Harsh's favorite read. 1:02:14 Parting thoughts.

Harsh's Recommended Read: Good to Great: Why Some Companies Make the Leap and Others Don't by Jim Collins https://amzn.to/2I7DHGM

Podcast Link: https://futureofdata.org/harsh-tiwari-talks-about-fabric-of-data-driven-leader-in-financial-sector-futureofdata-podcast/

Harsh's BIO: Harsh Tiwari is the Senior Vice President and Chief Data Officer for CUNA Mutual Group in Madison, Wisconsin. His primary responsibilities include leading enterprise-wide data initiatives providing strategy and policy guidance for data acquisition, usage, and management. He joined the company in July 2015. Before joining CUNA Mutual Group, Harsh spent many years working in information technology, analytics, and data intelligence. He worked at Capital One Financial Group in Plano, Texas, for 17 years, where he most recently focused on creating an effective data and business intelligence environment to manage risks across the company as the Head of Risk Management Data and Business Intelligence. He has also served as the Divisional CIO for Small Business Credit Card and Consumer Lending, Head of Portfolio and Delivery Management, Head of Auto Finance Data and Business Intelligence, Business Information Officer of Capital One Canada, and Analyst –Senior Manager of Small Business Data & System Analysis.

A native of India, Harsh earned a B.S. in Mechanical engineering from Mysore University in Mysore, Karnataka, India, and an M.B.A. in Finance / MIS Drexel University in Philadelphia, Pennsylvania. In his spare time, Harsh enjoys golfing and spending time with his wife, Rashmi, and their son, who is 12, and a daughter, who is 8.

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 @ http://play.analyticsweek.com/guest/

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Drew Conway (@DrewConway) from Aluvium talks about his journey to start an IoT startup. He sheds light on the opportunities in the industrial IoT space and shares some insights into the mechanism of running a data science startup in the IoT space. She shared some tactical suggestions for any future leader. This podcast is great for data science startup entrepreneurs and/or Sr. executives in IoT.

Timeline: 0:28 Drew's journey from counter-terrorism to IoT startup. 9:29 Data science in the industrial space. 12:01 Entrepreneurship in the IoT start-up. 18:36 Selling data analysis to executives in the industrial space. 24:14 Automation in the industrial setting. 29:27 What is an IoT ready company? 32:40 Challenges in integrating data tools in the industrial sector. 37:27 Data science talent pool in industrial and manufacturing companies. 41:52 Challenges in IoT adoption for industrial companies. 46:31 Alluvium's interaction with industries. 50:57 Picking the right use case as an IoT start-up. 52:49 Right customers for an IoT start-up. 59:26 Words of wisdom for anyone building a IoT start-up.

Drew's Recommended Listen: Gödel, Escher, Bach: An Eternal Golden Braid by Douglas R. Hofstadter https://amzn.to/2x0uo7d

Podcast Link: https://futureofdata.org/drewconway-on-fabric-of-an-iot-startup-futureofdata-podcast/

Drew's BIO: Drew Conway, CEO and founder of Alluvium, is a leading expert in the application of computational methods to social and behavioral problems at large-scale. Drew has been writing and speaking about the role of data — and the discipline of data science — in industry, government, and academia for several years.

Drew has advised and consulted companies across many industries, ranging from fledgling start-ups to Fortune 100 companies, as well as academic institutions and government agencies at all levels. Drew started his career in counter-terrorism as a computational social scientist in the U.S. intelligence community.

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, Drew Conway (@DrewConway) from Alluvium talks about his journey on creating a socially connected and responsible data science practice. He shared tactical steps and suggestions to help recruit the right talent, build the right culture, and nurture the relationship to create a sustained and impactful data science practice. The session is great for folks caring to create a self-sustaining and growth compliant data science practice.

Timeline: 0:28 Drew's journey from counter-terrorism to IoT startup. 9:29 Data science in the industrial space. 12:01 Entrepreneurship in the IoT start-up. 18:36 Selling data analysis to executives in the industrial space. 24:14 Automation in the industrial setting. 29:27 What is an IoT ready company? 32:40 Challenges in integrating data tools in the industrial sector. 37:27 Data science talent pool in industrial and manufacturing companies. 41:52 Challenges in IoT adoption for industrial companies. 46:31 Alluvium's interaction with industries. 50:57 Picking the right use case as an IoT start-up. 52:49 Right customers for an IoT start-up. 59:26 Words of wisdom for anyone building an IoT start-up.

Drew's Recommended Listen: Gödel, Escher, Bach: An Eternal Golden Braid by Douglas R. Hofstadter https://amzn.to/2x0uo7d

Podcast Link: https://futureofdata.org/drewconway-on-creating-socially-responsible-data-science-practice-futureofdata-podcast/

Drew's BIO: Drew Conway, CEO, and founder of Alluvium, is a leading expert in applying computational methods to social and behavioral problems at a large-scale. Drew has been writing and speaking about the role of data — and the discipline of data science — in industry, government, and academia for several years.

Drew has advised and consulted companies across many industries, ranging from fledgling start-ups to Fortune 100 companies, as well as academic institutions and government agencies at all levels. Drew started his career in counter-terrorism as a computational social scientist in the U.S. intelligence community.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Alex Wissner-Gross from Gemedy sat with Vishal Kumar from AnalyticsWeek to discuss the convoluted world of intelligence in artificial intelligence. He sheds deep insights on what machines perceive as intelligence and how to evaluate the current unwrapping of AI capabilities. This podcast is a must-attend for anyone who wishes to understand what AI is all about.

Timeline: 0:28 Alex's journey. 7:20 Alex's role in Gemedy. 9:19 Physics of AI. 12:05 General use cases for distribution of AI capabilities. 15:00 State of AI. 20:03 Defining intelligence. 23:42 Maximum freedom of action. 28:12 Intelligence and maximizing future freedom of action. 30:10 Maximum freedom of action and maximizing impact. 31:45 Thoughts on deep learning. 36:55 Data sets or data models? 39:27 AI in the context of business? 44:08 AI and the protection of human interests. 48:40 AI that ensures the employability of humans. 51:11 Advice for businesses to get started with AI. 59:01 Alex's ingredients to success. 1:01:16 Alex's favorite reads. 1:04:26 Key takeaways.

Alex's Recommended Listen: Accelerando (Singularity) Mass Market by Charles Stross (Author) https://amzn.to/2GDkBUl Diaspora: A Novel by Greg Egan https://amzn.to/2s1GF5L Rainbows End: A Novel with One Foot in the Future Mass Market by Vernor Vinge https://amzn.to/2J3oarQ

Podcast Link: https://futureofdata.org/alexwg-on-unwrapping-intelligence-in-artificialintelligence-futureofdata/

Alex's BIO: Dr. Alexander D. Wissner-Gross is an award-winning scientist, engineer, entrepreneur, investor, and author. He serves as President and Chief Scientist of Gemedy and holds academic appointments at Harvard and MIT. He has received 125 major distinctions, authored 18 publications, been granted 24 issued, pending, and provisional patents, founded, managed, and advised 4 technology companies that were acquired for a combined value of over $600 million. In 1998 and 1999, he won the USA Computer Olympiad and the Intel Science Talent Search. In 2003, he became the last person in MIT history to receive a triple major, with bachelor's in Physics, Electrical Science and Engineering, and Mathematics, while graduating first in his class from the MIT School of Engineering. In 2007, he completed his Ph.D. in Physics at Harvard, where his research on neuromorphic computing, machine learning, and programmable matter was awarded the Hertz Doctoral Thesis Prize. A thought leader in artificial intelligence, he is a contributing author of the New York Times Science Bestseller, This Idea Must Die, and the Amazon #1 New Release, What to Think About Machines That Think. A popular TED speaker, his talks have been viewed more than 2 million times and translated into 27 languages. His work has been featured in more than 200 press outlets worldwide, including The Wall Street Journal, BusinessWeek, CNN, USA Today, and Wired.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Justin Borgman talks about his journey of starting a data science start, doing an exit, and jumping on another one. The session is filled with insights for leadership, looking for entrepreneurial wisdom to get on a data-driven journey.

Timeline: 0:28 Justin's journey. 3:22 Taking the plunge to start a new company. 5:49 Perception vs. reality of starting a data warehouse company. 8:15 Bringing in something new to the IT legacy. 13:20 Getting your first few customers. 16:16 Right moment for a data warehouse company to look for a new venture. 18:20 Right person to have as a co-founder. 20:29 Advantages of going seed vs. series A. 22:13 When is a company ready for seeding or series A? 24:40 Who's a good adviser? 26:35 Exiting Teradata. 28:54 Teradata to starting a new company. 31:24 Excitement of starting something from scratch. 32:24 What is Starburst? 37:15 Presto, a great engine for cloud platforms. 40:30 How can a company get started with Presto. 41:50 Health of enterprise data. 44:15 Where does Presto not fit in? 45:19 Future of enterprise data. 46:36 Drawing parallels between proprietary space and open source space. 49:02 Does align with open-source gives a company a better chance in seeding. 51:44 John's ingredients for success. 54:05 John's favorite reads. 55:01 Key takeaways.

Paul's Recommended Read: The Outsiders Paperback – S. E. Hinton amzn.to/2Ai84Gl

Podcast Link: https://futureofdata.org/running-a-data-science-startup-one-decision-at-a-time-futureofdata-podcast/

Justin's BIO: Justin has spent the better part of a decade in senior executive roles building new businesses in the data warehousing and analytics space. Before co-founding Starburst, Justin was Vice President and General Manager at Teradata (NYSE: TDC), where he was responsible for the company’s portfolio of Hadoop products. Prior to joining Teradata, Justin was co-founder and CEO of Hadapt, the pioneering "SQL-on-Hadoop" company that transformed Hadoop from file system to analytic database accessible to anyone with a BI tool. Teradata acquired Hadapt in 2014.

Justin earned a BS in Computer Science from the University of Massachusetts at Amherst and an MBA from the Yale School of Management.

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, Marc Rind from ADP talked about big data in HR. He shared some of the best practices and opportunities that reside in HR data. Marc also shared some tactical steps to perform to help build better data-driven teams to execute data-driven strategies. This podcast is great for folks looking to explore the depth of HR data and the opportunities that reside in it.

Timeline: 0:28 Marc's journey. 4:50 Marc's typical day. 7:23 Data use cases in ADP. 11:20 Driving innovation and thought leadership. 15:15 Creating awareness for the necessity for innovation. 18:54 Listening skills key for innovation. 20:25 HR's role in the time of automation. 27:45 Product development and data science. 30:36 Working on a client analytics platform. 34:41 Team building. 37:52 Tips for established businesses to get started with data. 41:20 Data opportunities for entrepreneurs in the HR space. 43:23 Marc's ingredients for success. 46:35 Marc's reading list. 48:35 Key takeaways.

Podcast Link: https://futureofdata.org/understanding-bigdata-bigopportunity-in-hr-marcrind-futureofdata/

Marc's BIO: Marc is responsible for leading the research and development of Automatic Data Processing’s (ADP’s) Analytics and Big Data initiative. In this capacity, Marc drives the innovation and thought leadership in building ADP’s Client Analytics platform. ADP Analytics provides its clients not only the ability to read the pulse of its own human capital…but also provides the information on how they stack up within their industry, along with the best courses of action to achieve its goals through quantifiable insights.

Marc was also an instrumental leader behind the small business market payroll platform; RUN Powered by ADP®. Marc leads a number of the technology teams responsible for delivering its critically acclaimed product focused on its innovative user experience for small business owners.

Prior to joining ADP, Marc’s innovative spirit and fascination with data were forged at Bolt Media, a dot-com start-up based in NY’s “Silicon Alley”. The company was an early predecessor to today’s social media outlets. As an early ‘Data Scientist,’ Marc focused on the patterns and predictions of site usage through the harnessing of the data on its +10 million user profiles.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, @JohnNives discusses ways to demystify AI for the enterprise. He shares his perspective on how businesses should engage with AI and what are some of the best practices and considerations for businesses to adopt AI in their strategic roadmap. This podcast is great for anyone seeking to learn about the way to adopt AI in the enterprise landscape.

Timelines: 0:28 John's journey. 6:50 John's current role. 9:40 The role of a chief digital officer. 11:16 The current trend of AI. 13:52 AI hype or real? 16:42 Why AI now? 19:03 Demystifying deep learning. 23:35 Enterprise use cases of AI. 28:25 Attributes of a successful AI project. 32:20 Best AI investments in an enterprise. 36:56 Convincing leadership to adopt AI. 39:20 Organizational implications of adopting AI. 43:45 What do executives get wrong about AI? 48:36 Tips for executives to understand the AI landscape. 53:11 John's favorite reads. 57:35 Closing remarks.

John's Recommended Listen: FutureOfData Podcast math.im/itunes War and Peace Leo Tolstoy (Author),‎ Frederick Davidson (Narrator),‎ Inc. Blackstone Audio (Publisher) amzn.to/2w7ObkI

Podcast Link: https://futureofdata.org/johnnives-on-ways-to-demystify-ai-for-enterprise/

Jean's BIO: Jean-Louis (John) Nives serves as Chief Digital Officer and the Global Chair of the Digital Transformation practice at N2Growth. Prior to joining N2Growth, Mr. Nives was at IBM Global Business Services, within the Watson and Analytics Center of Competence. There he worked on Cognitive Digital Transformation projects related to Watson, Big Data, Analytics, Social Business and Marketing/Advertising Technology. Examples include CognitiveTV and the application of external unstructured data (social, weather, etc.) for business transformation. Prior relevant experience includes executive leadership positions at Nielsen, IRI, Kraft and two successful advertising technology acquisitions (Appnexus and SintecMedia). In this capacity, Jean-Louis combined information, analytics and technology to created significant business value in transformative ways. Jean-Louis earned a Bachelor’s Degree in Industrial Engineering from University at Buffalo and an MBA in Finance and Computer Science from Pace University. He is married with four children and lives in the New York City area.

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, Register your interest @ play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Amy Gershkoff(@amygershkoff) talks about the ingredients of a successful data science team. Amy sheds light on the challenges of building a successful team and how businesses could align themselves to get maximum out of their data science practice. Amy discussed some tricks, tips, and easy to execute strategies to keep the data science team and practice at the top of its efficiency. This is a great session for anyone who wants to be part of a winning and thriving data science practice within the organization.

Timeline:

0:29 Amy's journey. 8:39 Working on Obama's campaign. 15:35 Getting started with a data project. 20:39 First steps for creating a data science team. 27:53 Hiring a data scientist recruiter. 33:00 Building an internal data science workforce. 40:00 Hiring the right data scientist. 42:36 Tips for a data scientist to become a good hire. 44:42 Leadership getting educated in data science. 48:05 How to build diversity in the data science field. 52:52 Being bias free. 54:20 Amy's reading list. 56:06 Key takeaways. 

Youtube: https://youtu.be/0PBK5dfQaUk iTunes: http://apple.co/2zMLByT

Podcast Link: https://futureofdata.org/amygershkoff-on-building-winning-datascience-team/

Amy's BIO: Dr. Amy Gershkoff consults and advises technology companies across the globe. She is the former Chief Data Officer for Ancestry, the world's leading genealogy and consumer genomics company. Prior to joining Ancestry, she was Chief Data Officer at Zynga. Previously, Amy built and led the Customer Analytics & Insights team and led the Global Data Science team at eBay. She has also served as the Chief Data Scientist for WPP, Data Alliance, where she worked across WPP’s more than 350 operating companies worldwide to create integrated data and technology solutions. She was also the Head of Media Planning at Obama for America 2012, where she was the architect of Obama’s advertising strategy and designed the campaign's analytics systems.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast Stephen Gatchell (@stephengatchell) from @Dell talks about the ingredients of a successful data scientist. He sheds light on the importance of data governance and compliance in defining a robust data science strategy. He suggested tactical steps that executives could take in starting their journey to a robust governance framework. He talked about how to take away the scare from governance. He gave insights on some of the things leaders could do today to build robust data science teams and framework. This podcast is great for leaders seeking some tactical insights into building a robust data science framework.

Timeline:

0:29 Stephen's journey. 4:45 Dell's customer experience journey. 7:39 Suggestions for a startup in regard to customer experience. 12:02 Building a center of excellence around data. 15:29 Data ownership. 19:18 Fixing data governance. 24:02 Fixing the data culture. 29:40 Distributed data ownership and data lakes. 32:50 Understanding data lakes. 35:50 Common pitfalls and opportunities in data governance. 38:50 Pleasant surprises in data governance. 41:30 Ideal data team. 44:04 Hiring the right candidates for data excellence. 46:13 How do I know the "why"? 49:05 Stephen's success mantra. 50:56 Stephen's best read. Steve's Recommended Read: Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo http://amzn.to/2HWjOyT

Podcast Link: https://futureofdata.org/want-to-fix-datascience-fix-governance-by-stephengatchell-futureofdata/

Steve's BIO: Stephen is currently a Chief Data Officer Engineering & Data Lake at Dell and serves on the Dell Information Quality Governance Office and the Dell IT Technology Advisory Board, developing Dell’s corporate strategies for the Business Data Lake, Advanced Analytics, and Information Asset Management. Stephen also serves as a Customer Insight Analyst for the Chief Technology Office, analyzing customer technology challenges and requirements. Stephen has been awarded the People’s Choice Award by the Dell Total Customer Experience Team for the Data Governance and Business Data Lake project, as well as a Chief Technology Officer Innovation finalist for utilizing advanced analytics for customer configurations improving product development and product test coverage. Prior to Stephen’s current role, he managed Dell’s Global Product Development Lab Operations team developing internal cloud orchestration and automation environments, an Information Systems Executive for IBM leading acquisition conversion efforts, and was VP of Enterprise Systems and Operations managing mission-critical Information Systems for Telelogic (a Swedish public software firm). Stephen has an MBA from Southern New Hampshire University, a BSBA, and an AS in Finance from Northeastern 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.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

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In this podcast, Ashok Srivastava(@aerotrekker) talks about how the code of creating a great data science practice goes through #PeopleDataTech, and he suggested how to handle unreasonable expectations from reasonable technologies. He shared his journey through culturally diverse organizations and how he successfully build data science practice. He shared his role in Intuit and some of the AI/Machine learning focus in his current role. This podcast is a must for all data-driven leaders, strategists, and wannabe technologists tasked to grow their organization and build a robust data science practice.

Timeline:

0:29 Ashok's journey. 9:58 The role of a CDO at Intuit. 12:45 Ashok's secret to success working with diverse workforces. 15:42 Building a culture of data science. 19:03 Tactical strategies to convince the leadership about data. 22:03 Comparing a data officer and analytics officer. 24:09 Ownership of data. 27:33 Best practices for putting together a data team. 30:16 Best practices for a company to build a good data science practice. 32:40 Who's the ideal data science candidate? 35:17 Data citizens as data leaders. 37:47 Use cases of AI at Intuit. 39:55 Deciding which product deserves AI. 42:35 Disruptive nature of AI. 45:05 Ashok's success mantra. 46:56 Ashok's favorite reads. 49:15 Key takeaways.

Ashok's Recommended Read: Guns, Germs, and Steel: The Fates of Human Societies - Jared Diamond Ph.D. http://amzn.to/2C4bLMT Collapse: How Societies Choose to Fail or Succeed: Revised Edition - by Jared Diamond http://amzn.to/2C3Bu8f

Podcast Link: https://futureofdata.org/ashok-srivastavaaerotrekker-on-winning-the-art-of-datascience/

Ashok's BIO: Ashok N. Srivastava, Ph.D., is the Senior Vice President and Chief Data Officer at Intuit. He is responsible for setting the vision and direction for large-scale machine learning and AI across the enterprise to help power prosperity across the world. He is hiring hundreds of people in machine learning, AI, and related areas at all levels.

Previously, he was Vice President of Big Data and Artificial Intelligence Systems and the Chief Data Scientist at Verizon. He is an Adjunct Professor at Stanford in the Electrical Engineering Department and is the Editor-in-Chief of the AIAA Journal of Aerospace Information Systems. Ashok is a Fellow of the IEEE, the American Association for the Advancement of Science (AAAS), and the American Institute of Aeronautics and Astronautics (AIAA).

Ashok has a range of business experience, including serving as Senior Director at Blue Martini Software and Senior Consultant at IBM.

He has won numerous awards, including the Distinguished Engineering Alumni Award, the NASA Exceptional Achievement Medal, the IBM Golden Circle Award, the Department of Education Merit Fellowship, and several fellowships from the University of Colorado. Ashok holds a Ph.D. in Electrical Engineering from the University of Colorado at Boulder.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Bill Schmarzo talks about the ingredients of successful data science practice, team, and executives. Bill shared his insights on what some leaders in the industries are doing and some challenges seen in the successful deployment. Bill shared his key take on ingredients for some of the successful hires. This podcast is great for growth mindset executives willing to learn about creating a successful data science practice.

Timeline: 0:29 Bill's journey. 5:05:00 Bill's current role. 7:04 Data science adoption challenges for businesses. 9:33 The good side of data science adoption. 11:22 How is data science changing business. 14:34 Strategies behind distributed IT. 18:35 Analysing the current amount of data. 21:50 Who should own the idea of data science? 24:34 The right background for a CDO. 25:52 Bias in IT. 29:35 Hacks to keep yourself bias-free. 31:58 Team vs. tool for putting together a good data-driven practice. 34:54 Value cycle in data science. 37:10 Maturity model. 39:17 Convincing culture heavy businesses to adopt data. 42:47 Keeping oneself sane during the technological disruption. 46:20 Hiring the right talent. 51:46 Ingredients of a good data science hire. 56:00 Bill's success mantra. 59:07 Bill's favorite reads. 1:00:36 Closing remarks.

Bill's Recommended Read: Moneyball: The Art of Winning an Unfair Game by Michael Lewis http://amzn.to/2FqBFg8 Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo http://amzn.to/2tlZAvP

Podcast Link: https://futureofdata.org/schmarzo-dellemc-on-ingredients-of-healthy-datascience-practice-futureofdata-podcast/

Bill's BIO: Bill Schmarzo is the CTO for the Big Data Practice, where he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogger, and is a frequent speaker on the use of Big Data and data science to power the organization's key business initiatives. He is a University of San Francisco School of Management Fellow, where he teaches the "Big Data MBA" course.

Bill has over three decades of experience in data warehousing, BI, and analytics. Bill authored EMC's Vision Workshop methodology that links an organization's strategic business initiatives with their supporting data and analytic requirements and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute's faculty as the head of the analytic applications curriculum.

Bill holds a master's degree in Business Administration from the University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science, and Business Administration from Coe College.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Rahul Kashyap(@RCKashyap) talks about the state of security, technology, and business crossroad on Security and the mindset of a security led technologist. He sheds some light on past, present, and future security risks discussed some common leadership concerns, and how a technologist could circumvent that. This podcast is a must for all technologists and wannabe technologists to grow their organization.

Timeline: 0:29 Rahul's journey. 4:40 Rahul's current role. 7:58 How the types of cyberattacks have changed. 12:53 How has IT interaction evolved? 16:50 Problems security industry. 20:12 Market mindset vs. security mindset. 23:10 Ownership of data. 27:02 Cloud, saas, and security. 31:40 Priorities for securing an enterprise. 34:50 How security is secure enough. 37:40 Providing a stable core to the business. 41:11 The state of data science vis a vis security. 44:05 Future of security, data science, and AI. 46:14 Distributed computing and security. 50:30 Tenets of Rahul's success. 53:15 Rahul's favorite read. 54:35 Closing remarks.

Rahul's Recommended Read: Mindset: The New Psychology of Success – Carol S. Dweck http://amzn.to/2GvEX2F

Podcast Link: https://futureofdata.org/rckashyap-cylance-on-state-of-security-technologist-mindset-futureofdata-podcast/

Rahul's BIO: Rahul Kashyap is the Global Chief Technology Officer at Cylance, where he is responsible for strategy, products, and architecture.

Rahul has been instrumental in building several key security technologies viz: Network Intrusion Prevention Systems (NIPS), Host Intrusion Prevention Systems (HIPS), Web Application Firewalls (WAF), Whitelisting, Endpoint/Server Host Monitoring (EDR), and Micro-virtualization. He has been awarded several patents for his innovations. Rahul is an accomplished pen-tester and has in-depth knowledge of OS, networking, and security products.

Rahul has written several security research papers, blogs, and articles that are widely quoted and referenced by media around the world. He has built, led, and scaled award-winning teams that innovate and solve complex security challenges in both large and start-up companies.

He is frequently featured in several podcasts, webinars, and media briefings. Rahul has been a speaker at several top security conferences like BlackHat, BlueHat, Hack-In-The-Box, RSA, DerbyCon, BSides, ISSA International, OWASP, InfoSec UK, and others. He was named 'Silicon Valley's 40 under 40' by Silicon Valley Business Journal.

Rahul mentors entrepreneurs who work with select VC firms and is on the advisory board of tech start-ups.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this last part of the two-part podcast, @TimothyChou discussed the Internet of Things landscape's future. He laid out how the internet has always been about the internet of things and not the internet of people. He sheds light on the internet of things as it is spread across themes of things, connect, collect, learn, and do workflows. He builds an interesting case about achieving precision to introduction optimality.

Timeline: 0:29 Timothy's journey. 8:56 Selling cloud to Oracle. 15:57 Communicating economics and technology disruption. 23:54 Internet of people to the internet of things.

Timothy's Recommended Read: Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark http://amzn.to/2Cidyhy Zone to Win: Organizing to Compete in an Age of Disruption Paperback by Geoffrey A. Moore http://amzn.to/2Hd5zpv

Podcast Link: https://futureofdata.org/timothychou-on-world-of-iot-its-future-part-2/

Timothy's BIO: Timothy Chou has his career spanning through academia, successful (and not so successful) startups, and large corporations. He was one of only a few people to hold the President's title at Oracle. As President of Oracle On Demand, he grew the cloud business from its very beginning. Today that business is over $2B. He wrote about the move of applications to the cloud in 2004 in his first book, “The End of Software”. Today he serves on the board of Blackbaud, a nearly $700M vertical application cloud service company.

After earning his Ph.D. in EE at the University of Illinois, he went to work for Tandem Computers, one of the original Silicon Valley startups. Had he understood stock options, he would have joined earlier. He’s invested in and been a contributor to a number of other startups, some you’ve heard of like Webex, and others you’ve never heard of but were sold to companies like Cisco and Oracle. Today he is focused on several new ventures in cloud computing, machine learning, and the Internet of Things.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this first part of a two-part podcast, @TimothyChou discussed the Internet of Things landscape. He laid out how the internet has always been about the internet of things and not the internet of people. He sheds light on the internet of things as it is spread across themes of things, connect, collect, learn, and do workflows. He builds an interesting case about achieving precision to introduction optimality.

Timeline: 0:29 Reason behind the failure of IoT projects. 19:10 Which businesses will be impacted by IoT expansion? 30:22 How is IoT getting impacted in the world of AI. 40:35 Innovative startups in the IoT industry. 49:17 What's slowing down IoT? 52:20 How much IoT and cloud are married together? 54:32 Timothy's success mantra. 56:16 Parting thoughts.

Timothy's Recommended Read: Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark http://amzn.to/2Cidyhy Zone to Win: Organizing to Compete in an Age of Disruption Paperback by Geoffrey A. Moore http://amzn.to/2Hd5zpv

Podcast Link: https://futureofdata.org/timothychou-on-world-of-iot-its-future-part-1-futureofdata-podcast/

Timothy's BIO: Timothy Chou has his career spanning through academia, successful (and not so successful) startups, and large corporations. He was one of only a few people to hold the President's title at Oracle. As President of Oracle On Demand, he grew the cloud business from its very beginning. Today that business is over $2B. He wrote about the move of applications to the cloud in 2004 in his first book, “The End of Software”. Today he serves on the board of Blackbaud, a nearly $700M vertical application cloud service company.

After earning his Ph.D. in EE at the University of Illinois, he went to work for Tandem Computers, one of the original Silicon Valley startups. Had he understood stock options, he would have joined earlier. He’s invested in and been a contributor to a number of other startups, some you’ve heard of like Webex, and others you’ve never heard of but were sold to companies like Cisco and Oracle. Today he is focused on several new ventures in cloud computing, machine learning, and the Internet of Things.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Chuck Rehberg from Trigent Software sat with Vishal to discuss how, as a technologist, leaders should think about connecting technology to help solve real business pains. Chuck also shared some of the best practices technologists could adopt to built successful integrity-filled bias-free teams and solutions.

Timeline 0:29 Chuck's journey. 8:45 Chuck's role in Trigent. 14:18 Trigent's niche clients. 16:26 Semantics and Trigent model. 18:42 What is semantics? 22:00 The state of semantics today. 28:00 Best practices for businesses to use technology optimally. 33:13 Tips for businesses to remain stable in the time of disruptive technology. 36:18 App technology vis a vis enterprise stack. 39:43 Perspectives on the bias. 43:40 Measuring KPIs for success. 48:16 Ingredients of a good technology team. 50:56 Creating a technology team from scratch. 54:42 Things to be done in semantics. 58:52 Chuck's success mantra. 1:02:24 Chuck's favorite reads. 1:07:05 Closing remarks.

Chuck's Recommended Read: World Hypotheses: A Study in Evidence - by Stephen C. Pepper http://amzn.to/2GXGYVV Women, Fire and Dangerous Things: What Categories Reveal About the Mind - by George Lakoff http://amzn.to/2GWIQOA How to Solve It: A New Aspect of Mathematical Method (Princeton Science Library) - by G. Polya (Author),‎ John H. Conway (Foreword, Contributor) http://amzn.to/2BLECtw The Better Angels of Our Nature: Why Violence Has Declined - by Steven Pinker http://amzn.to/2EaLQZI Finite and Infinite Games – by James Carse (Author) http://amzn.to/2BLfIdx Being Mortal: Medicine and What Matters in the End - by Atul Gawande http://amzn.to/2BhgBtp

Podcast Link: https://futureofdata.org/chuckrehberg-trigentsoftware-translating-technology-solve-business-problems-futureofdata/

Here is Chuck's Bio: As CTO at Trigent Software and Chief Scientist at Semantic Insights, Chuck Rehberg has developed patented high-performance rules engine technology and advanced natural language understanding technologies that empower a new generation of semantic research solutions.

Chuck has more than thirty years in the high-tech industry, developing leading-edge solutions in the areas of Artificial Intelligence, Semantic Technologies, analytics, and product configuration software.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Venu Vasudevan(@ProcterGamble) talks about the best practices of creating a research-led data-driven data science team. He walked through his journey of creating a robust and sustained data science team, spoke about bias in data science, and some practices leaders and data science practitioners could adopt to create an impactful data science team. This podcast is great for future data science leaders and practitioners leading organizations to put together a data science practice.

Timeline: 0:29 Venu's jouney. 11:18 Venu's current role in PNG. 13:11 Standardization of technology and IoT. 17:18 The state of AI. 19:46 Running an AI and data practice for a company. 22:30 Building a data science practice in a startup in comparison to a transnational company. 24:05 Dealing with bias. 27:32 Culture: a block or an opportunity. 30:05 Dealing with data we've never dealt with before. 32:32 Sustainable vs. disruption. 36:17 Starting a data science team. 38:34 Data science as an art of doing and science of doing business. 41:37 Tips to improve storytelling for a data practitioner. 43:30 Challenges in Venu's journey. 44:55 Tenets of a good data scientist. 47:27 Diversity in hiring. 50:50 KPI's to look out for if you are running an AI practice. 51:37 Venu's favorite read.

Venu's Recommended Read: Isaac Newton: The Last Sorcerer - Michael White http://amzn.to/2FzGV0N Against the Gods: The Remarkable Story of Risk - Peter L. Bernstein http://amzn.to/2DRPveU

Podcast Link: https://futureofdata.org/venu-vasudevan-venuv62-proctergamble-on-creating-a-rockstar-data-science-team-futureofdata/

Venu's BIO: Venu Vasudevan is Research Director, Data Science & AI at Procter & Gamble, where he directs the Data Science & AI organization at Procter & Gamble research. He is a technology leader with a track record of successful consumer & enterprise innovation at the intersection of AI, Machine Learning, Big Data, and IoT. Previously he was VP of Data Science at an IoT startup, a founding member of the Motorola team that created the Zigbee IoT standard, worked to create an industry-first zero-click interface for mobile with Dag Kittlaus (co-creator of Apple Siri), created an industry-first Google Glass experience for TV, an ARRIS video analytics and big data platform recently acquired by Comcast, and a social analytics platform leveraging Twitter that was featured in Wired Magazine and BBC. Venu held a Ph.D. (Databases & AI) from Ohio State University and was a Motorola’s Science Advisory Board (top 2% of Motorola technologists). He is an Adjunct Professor at Rice University’s Electrical and Computer Engineering department and was a mentor at Chicago’s 1871 startup incubator.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Paul Ballew(@Ford) talks about best practices when running a data science organization spanned across multiple continents. He shared the importance of being Smart, Nice, and Inquisitive in creating tomorrow's workforce today. He sheds some light on the importance of appreciating culture when defining forward-looking policies. He also builds a case for a non-native group and discusses ways to implement data science as a central organization(with no hub-spoke model). This podcast is great for future data science leaders leading organizations with a broad consumer base and multiple geo-political silos.

Timeline: 0:29 Paul's journey. 5:10 Paul's current role. 8:10 Insurance and data analytics. 13:00 Who will own the insurance in the time of automation. 18:22 Recruiting models in technologies. 21:54 Embracing technological change. 25:03 Will we have more analytics in Ford cars? 28:25 How does Ford stay competitive from a technology perspective. 30:30 Challenges for Analytics officer in Ford. 32:36 Ingredients of a good hire. 34:12 How is the data science team structured in Ford. 36:15 Dealing with shadow groups. 39:00 Successful KPIs. 40:33 Who owns data? 42:27 Who should own the security of data assets. 44:05 Examples of successful data science groups. 46:30 Practises for remaining bias-free. 48:55 Getting started running a global data science team. 52:45 How does Paul's keep himself updated. 54:18 Paul's favorite read. 55:45 Closing remarks.

Paul's Recommended Read: The Outsiders Paperback – S. E. Hinton http://amzn.to/2Ai84Gl

Podcast Link: https://futureofdata.org/paul-ballewford-running-global-data-science-group-futureofdata-podcast/

Paul's BIO: Paul Ballew is vice president and Global Chief Data and Analytics officer, Ford Motor Company, effective June 1, 2017. At the same time, he also was elected a Ford Motor Company officer. In this role, he leads Ford’s global data and analytics teams for the enterprise. Previously, Ballew was Global Chief Data and Analytics Officer, a position to which he was named in December 2014. In this role, he has been responsible for establishing and growing the company’s industry-leading data and analytics operations that are driving significant business value throughout the enterprise. Prior to joining Ford, he was Chief Data, Insight & Analytics Officer at Dun & Bradstreet. In this capacity, he was responsible for the company’s global data and analytic activities along with the company’s strategic consulting practice. Previously, Ballew served as Nationwide’s senior vice president for Customer Insight and Analytics. He directed customer analytics, market research, and information and data management functions, and supported the company’s marketing strategy. His responsibilities included the development of Nationwide’s customer analytics, data operations, and strategy. Ballew joined Nationwide in November 2007 and established the company’s Customer Insights and Analytics capabilities.

Ballew sits on the boards of Neustar, Inc. and Hyatt Hotels Corporation. He was born in 1964 and has a bachelor’s and master’s degree in Economics from the University of Detroit.

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, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Joel Comm from The Bad Crypto Podcast sat with Vishal Kumar, CEO AnalyticsWeek, and discuss the World of Crypto Currencies. The discussion sheds light on the nuances in the rapidly exploding world of Crypto Currencies and some of the thinking behind the currencies. The discussion also sheds light on the opportunities and risks in the industry. Joel sheds his insights about how to think about these currencies and the long term implications of the algos that run these currencies. The podcast is a great listen for anyone who wants to understand the world of cryptocurrencies.

Timeline: 0:29 Joel's journey. 5:45 Thinking behind "Bad Crypto". 7:50 Getting into the domain of cryptocurrency. 13:30 Underlying technology behind cryptocurrency. 17:00 On Bitcoin. 18:50 Tracing back a ledger. 20:36 The use of blockchain. 23:00 Every bitcoin is a country. 25:11 Parameters to invest in Cryptocurrency. 26:05 Some better known Cryptocurrency. 31:52 The security aspect of Cryptocurrency. 41:52 Security and regulations of tokens. 44:03 The consensus element of blockchain. 46:25 Alternatives to the blockchain. 49:30 Bitcoin as payment. 58:15 Manipulation of the Crypto market. 1:00:51 Joel's favorite reads.

Youtube: https://youtu.be/xJucEIDitas iTunes: http://apple.co/2ynxopz

Please note, this podcast and/or its content in no way advocate any investment advice and nor intended to generate any positive or negative influence. Crypto Currencies are highly volatile in nature, and any investor must use absolute caution and care while evaluating such currencies.

Joel's Recommended Read: Cryptocurrencies 101 By James Altucher http://bit.ly/2Bi5FMv

Podcast Link: https://futureofdata.org/discussing-world-crypto-joelcomm-badcrypto/

Joel's BIO: As a knowledgeable & inspirational speaker, Joel speaks on a variety of business and entrepreneurial topics. He presents a step-by-step playbook on how to use social media as a leveraging tool to expand the reach of your brand, increase your customer base, and create fierce brand loyalty for your business. Joel is also able to speak with authority on the various ways to harness the marketing power of technology to explode profits. He offers an inspiring yet down-to-earth call to action for those who dream of obtaining growth and financial success. As someone who went from having only 87 cents in his bank account to creating multiple successful businesses, Joel is uniquely poised to instruct and inspire when it comes to using the various forms of new media as avenues towards the greater goal of business success. He is a broadcast veteran with thousands of hours in radio, podcasting, television, and online video experience. Joel is the host of two popular yet completely different podcasts. FUN with Joel Comm features the lighter side of the top business and social leaders. The Bad Crypto Podcast makes cryptocurrency and bitcoin understandable to the masses.

Joel is the New York Times best-selling author of 14 books, including The AdSense Code, Click Here to Order: Stories from the World's Most Successful Entrepreneurs, KaChing: How to Run an Online Business that Pays and Paysm Twitter Power 3.0, and Self Employed: 50 Signs That You Might Be an Entrepreneur. He has also written over 40 ebooks. He has appeared in The New York Times, on Jon Stewart's The Daily Show, on CNN online, on Fox News, and many other places.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy