In this podcast, Andrea Gallego, Principal & Global Technology Lead @ Boston Consulting Group, talks about her journey as a data science practitioner in the consulting space. She talks about some of the industry practices that up and rising data science professionals must deploy and talks about some operational hacks to help create a robust data science team. It is a must-listen conversation for practitioner folks in the industry trying to deploy a data science team and build solutions for a service industry.

Timeline: 0:29 Andrea's journey. 5:41 Andrea's current role. 8:02 Seasoned data professional to COO role. 11:27 The essentials for having analytics at scale. 14:56 First steps to creating an analytics practice. 18:33 Defining an engineering first company. 22:33 A different understanding of data engineering. 26:40 Mistakes businesses make in their data science practice. 30:21 Some good business problems that data science can solve. 36:42 Democratization of data vs. privacy in companies. 38:04 Tech to business challenges. 40:11 Important KPIs for building a data science practice. 43:47 Hacks to hiring good data science candidates. 49:07 Art of doing business and science of doing business. 52:16 Andrea's secret to success. 55:12 Andrea's favorite read. 58:35 Closing remarks.

Andrea's Recommended Read: Arrival by Ted Chiang http://amzn.to/2h6lJpv Build to Last by Jim Collins http://amzn.to/2yMCsam Designing Agentive Technology: AI That Works for People Paperback http://amzn.to/2ySDHGp

Podcast Link: https://futureofdata.org/andrea-gallego-bcg-managing-analytics-practice/

Andrea's BIO: Andrea is Principal & Global Technology Lead @ Boston Consulting Group. Prior to BCG, Andrea was COO of QuantumBlack’s Cloud platform. She also manages the cloud platform team and helps drive the vision and future of McKinsey Analytics’ digital capabilities. Andrea has broad expertise in computer science, cloud computing, digital transformation strategy, and analytics solutions architecture. Prior to joining the Firm, Andrea was a technologist at Booz Allen Hamilton. She holds a BS in Economics and MS in Analytics (with a concentration in computing methods for analytics).

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 Data Analytics Leadership Podcast Big Data Strategy

In this podcast, John T Langton, Director of Applied Data Science, sat with Vishal, President AnalyticsWeek, and discussed his data analytics journey. He shared his insights, from his startup days to running a data science group within a big enterprise.

Timeline: 0:28 John's journey. 13:28 John's current role. 17:06 Succeeding as a data scientist in different organizations. 26:47 Challenges in putting together a data science company. 38:36 Hacks to selling innovative ideas to clients and customers. 47:20 Defining a good data science hire. 51:50 Maturity level of enterprise AI. 1:00:00 Closing remarks.

John's Recommended Read: Designing Agentive Technology: AI That Works for People Paperback http://amzn.to/2ySDHGp

Podcast Link: https://futureofdata.org/johntlangton-wolters_kluwer-discussed-ai-lead-startup-journey/

John's BIO: John Langton is Director of Applied Data Science at Wolters Kluwer. He was previously worked as Director of Data Science at athenahealth, CEO of VisiTrend, a visual analytics company that was acquired by Carbon Black in 2015. He has a Ph.D. in computer science and an extensive background in AI, machine learning, big data analytics, and visualization. Prior to founding VisiTrend, John was Principal Investigator (PI) on several DoD projects at Charles River Analytics (CRA). He has taught classes at Brandeis University and has several peer-reviewed publications.

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 Data Analytics Leadership Podcast Big Data Strategy

Jeff Palmucci / @TripAdvisor talk about building a Machine Learning Team and shared some best practices for running a data-driven startup

Timeline: 0:29 Jeff's journey. 8:28 Jeff's experience of working in different eras of data science. 10:34 Challenges in working on a futuristic startup. 13:40 Entrepreneurship and ML solutions. 16:42 Putting together a ML team. 20:32 How to chose the right use case to work on? 22:20 Hacks for putting together a group for ML solutions. 24:40 Convincing the leadership of changing the culture. 29:00 Thought process of putting together an ML group. 31:36 How to gauge the right data science candidate? 35:46 Important KPIs to consider while putting together a ML group. 38:30 The merit of shadow groups within a business unit. 41:05 Jeff's key to success. 42:58 How is having a hobby help a data science leader? 45:05 Appifying is good or bad? 52:07 The fear of what ML throws out. 54:09 Jeff's favorite reads. 55:34 Closing remarks.

Podcast Link: https://futureofdata.org/jeff-palmucci-tripadvisor-discusses-managing-machinelearning-ai-team/

About Jeff Palmucci: As a serial entrepreneur, Jeff has started several companies. He was VP of Software Development for Optimax Systems, a developer of scheduling systems for manufacturing operations acquired by i2 Technologies. As a Founder and CTO of programmatic hedge fund Percipio Capital Management, he helped lead the company to an acquisition by Link Ventures. Jeff is currently leading the Machine Learning group at Tripadvisor, which does various machine learning projects across the company, including natural language processing, review fraud detection, personalization, information retrieval, and machine vision. Jeff has publications in natural language processing, machine learning, genetic algorithms, expert systems, and programming languages. When Jeff is not writing code, he enjoys going to innumerable rock concerts as a professional photographer.

Jeff's Favorite Authors (Genre: Science Fiction): Vernor Vinge http://amzn.to/2ygDPOu Stephen Baxter http://amzn.to/2ygG6cn

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 Data Analytics Leadership Podcast Big Data Strategy

In this Podcast, Charlie Berger from Oracle discussed some of the challenges of data-driven enterprises.

Timeline: 0:29 Charlie's journey. 6:12 Charlie's current role. 8:55 Oracle's role in the future of data. 13:20 The evolution of ML. 20:41 The need for revaluating mathematical models that data science is based on. 27:50 On the concept of appification of analytics. 36:17 On enterprise IT landscape changing. 43:17 Geekifying analytics. 47:15 Charlie's favorite read. 50:21 Closing remarks.

Charlie's favorite read suggestions: 1. The Naked Future: What Happens in a World That Anticipates Your Every Move?

Podcast link: https://futureofdata.org/futureofdata-charliedatamine-oracle-discussing-running-analytics-enterprise/

Charlie's BIO: Passionate technical professional skilled in building entrepreneurial, start-up initiatives, and environments. Strong technical, product management, communication, marketing, and leadership skills.

• Experienced product management professional with over 30 years of experience in leading-edge technologies in large corporations and entrepreneurial start-ups. • During 15 years at Oracle Corporation, developed an innovative portfolio of “big data analytics” products developed as in-database SQL data mining functions and integrated "predictive analytics" applications. • Strong technical, product management, communication, and leadership skills. • Responsible for product management and direction for the Oracle Database data mining and predictive analytics technology, including Oracle Data Mining, text mining, and statistical functions. • Strong product champion, evangelist, and frequent speaker in the field of predictive analytics and data mining. • Leveraged relationships with customers, development, and sales to communicate product capabilities and value proposition.

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 Data Analytics Leadership Podcast Big Data Strategy

In this Podcast Clayton, @theclaymethod from @TiVo sat with Vishal to talk about his experience running analytics group within media landscape and shed light on running analytics in media industry.

Timeline: 0:29 Clayton's journey. 2:50 Clayton's current role as the director of Tivo. 5:13 Clayton's path to become a data scientist. 9:10 Analytics in the media. 12:06 Data in the creative industry. 14:32 Interesting use cases of data in media industry. 17:03 Classifying data for different media platforms. 18:48 Defining a typical data scientist in the media industry. 22:12 Art of doing business and science of doing business. 25:02 Putting together a data science team. 29:26 Successful KPIs in the media industry. 32:47 Interesting companies and products and their data practice. 34:22 Knowing the requirement of an AI/ML model in a business. 37:02 Data science practice in bigger companies. 38:33 Clayton's choice of the media industry. 39:42 Advice for data analysts who want to enter the media industry. 41:42 Mentorship and buddy system. 44:06 Advice for those who are from non engineering background. 47:40 Clayton's favorite reads. 49:40 Clayton's next ideal hire. 51:15 Closing remarks.

Podcast link: https://futureofdata.org/futureofdata-with-theclaymethod-tivo-discussing-running-analytics-in-media-industry/

Bio: Clayton Kim is the Director of Data Science at TiVo, responsible for managing the applications of machine learning and statistical research on TV consumption data. Before TiVo, Clayton was the Sr. Manager of Data Science at Localytics, working on applying predictive intelligence to mobile app analytics and messaging.

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

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Keywords:

FutureOfData

Data

Analytics

Leadership Podcast

Big Data

Strategy

In this conversation, Angela & Joshua from Booz Allen sat down with Vishal to discuss the Mathematical Corporation. They discussed some of the stories, challenges, and opportunities facing any corporation on their journey to a Mathematical corporation.

Timeline: 0:29 Angela and Josh's introduction. 4:00 Inspiration behind their book. 8:20 Machine Intelligence. 12:27 Ideal fit for a business to embrace mathematical organization. 14:54 Convincing executives towards data science. 19:20 Working with data science skeptics. 23:02 How much percent data-driven should a company be? 26:38 Mathematical models being predictable in an unpredictable environment. 30:25 Mathematical organization response to open sources. 34:14 AI the job enabler. 36:52 Advice for small businesses to be data-driven. 39:36 A fully mature mathematical corporation. 44:16 Sleeping on the wheel. 45:28 An ideal reader for the book "Mathematical Corporation". 48:37 The aha moment while writing the book. 50:40 Creating awareness for business to be data-driven. 54:18 Takeaways from "Mathematical Corporation".

Their Book: The Mathematical Organization is out to help the business stay data-driven and competitive. You could download the book @ http://amzn.to/2hNsoaH

THE MATHEMATICAL CORPORATION: Where Machine Intelligence and Human Ingenuity Achieve the Impossible (PublicAffairs; June 6, 2017), by Booz Allen Hamilton machine intelligence experts Joshua Sullivan and Angela Zutavern, is the first book to show business leaders how to compete in this new era: by combining the mathematical smarts of machines with the intellect of visionary leaders.

About the Guest DR. JOSH SULLIVAN is SVP at Booz Allen Hamilton. One of the world’s leading experts in data science and machine intelligence, he was among the first people to hold the title “data scientist.” He has appeared on CNBC.

ANGELA ZUTAVERN is VP at Booz Allen Hamilton and pioneered the application of machine intelligence to leadership and strategy. Together, they’re radically transforming how Fortune 500 companies, nonprofits, and major government agencies perform by helping leaders shatter long-held constraints and reveal hidden truths in their organizations. They live in Washington, D.C.

Podcast link: https://futureofdata.org/angelazutavern-joshdsullivan-boozallen-discussed-mathematical-corporation-futureofdata/

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 session, Brett McLaughlin, Chief Data Strategist at Akamai, discussed his journey to creating a forecasting solution. He sheds light on some limitations, some innovative thinking, and some hacks that one could use to structure a good forecasting model.

Timeline: 0:29 Brett's journey. 15:06 Data scientist fulling the vision of the CEO. 24:25 Art of doing business and science of doing business. 29:23 Data science and mathematics. 34:55 Salesforce defining the value of algorithms. 38:14 Capturing feedback to improve data models. 46:14 First steps in building a futuristic data model. 54:27 Using algorithms to forecast. 1:01 Tips for data leaders to build a team.

Podcast link: https://futureofdata.org/discussing-forecasting-brett-mclaughlin-akabret-akamai/

Here's Brett's Bio: Twenty-one years of experience transforming business operations through more intelligent use of data. Expertise in leading organizations in data transformation, predictive analytics (e.g., forecasting, linear programming, operational simulations, etc.), world-class visualizations and interfaces, and tight integration into existing operations.

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, Robin discussed how an analytics organization functions in a collaborative culture. He shed some light on preparing a robust framework while working on policy rich setup. This talk is a must for anyone building an analytics organization with a culture-rich or policy rich environment.

Timeline: 0:29 Robin's journey. 6:02 Challenges in working as a chief data scientist. 9:50 Two breeds of data scientists. 13:38 Introducing data science into large companies. 16:57 Creating a center of excellence with data. 19:52 Challenges in working with a government agency. 22:57 Creating a self-serving system. 26:29 Defining chief data officer, chief analytics officer, chief data scientist. 28:28 Designing an architecture for a rapidly changing company culture. 31:39 Future of analytics and data leaders. 35:47 Art of doing business and science of doing business. 42:26 Perfect data science hire. 45:08 Closing remarks.

Podcast link: https://futureofdata.org/futureofdata-with-robin-thottungal-chief-data-scientist-at-epa/

Here's Robin's bio on his current EPA Role: - Leading the Data Analytics effort of 15,000+ member agency through providing strategic vision, program development, evangelizing the value of data-driven decision making, bringing a lean-start up approach to the public sector & building advanced data analytics platform capable of real-time/batch analysis.

-Serving as Chief data scientist for the agency, including directing, coordinating, and overseeing the division’s leadership of EPA’s multi­media data analytics, visualization, and predictive analysis work along with related tools, application development, and services.

-Develop and oversee the implementation of Agency policy on integration analysis of environmental data, including multi­media analysis and assessments of environmental quality, status, and trends.

-Develop, market, and implement tactical and strategic plans for the Agency’s data management, advanced data analytics, and predictive analysis work.

-Lead cross­federal, state, tribal, and local government data partnerships as well as information partnerships with other entities.

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

The security challenges of a particular business may often be proportional to the amount of data they need to capture, process, and interpret. As businesses grow their security needs become ever more complex and challenging as the volume, velocity, and variety of data increases. Forward thinking organizations using data science to better process and interpret vast data stores both on-premise and in the cloud to identify threats and intrusions to their local networks and beyond.

Join us to participate in a dynamic discussion from practitioners with deep experience in the areas of data science or information security including:

• Bob Rudis, Chief Security Data Scientist, Rapid7, frequent blogger at rud.is, co-author of Data Driven Security, and ardent R open source contributor. Follow Bob on the web here. Previously, Bob was at Verizon and responsible for the Data Breach Investigations Report (DBIR) known in the security industry as "an unparalleled source of information on cybersecurity threats."

• Mark Gerner, Sr. Economic Data Scientist / Analytics Leader with 10+ years of experience designing, implementing, and communicating the results of analyses in support of customer engagement, strategic planning, and programmatic portfolio management related activities.

• Kalpesh Sheth, Co-founder & CEO, Yaxa, With 20+ years of technical expertise in data networking, network security, Intelligence Surveillance and Reconnaissance (ISR), and Cluster Computing. Before co-founding Yaxa, Sheth was Senior Technical Director at DRS Technologies (acquired by Finmeccanica S.p.A.), Director at RiverDelta Networks (acquired by Motorola and now part of Arris) and fifth employee of Digital Technology (acquired by Agilent Technologies). He is a co-author of VITA 41.6 an ANSI standard, and has spoken at numerous trade conferences as an expert panel member.

Venue Sponsor: @BoozAllen Media Sponsor: X.TAO.ai

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

Want to sponsor? Email us @ [email protected]

Keywords: FutureOfData Data Analytics Leadership Podcast Big Data Strategy

In this session, Jon talks about analytics in the agency business. He discussed best practices and some operational hacks to help leaders become successful in the world of analytics in the marketing domain(one of the early adopter of technology)

Timeline: 0:29 John's journey. 6:07 Use cases for the benchmark studies at L2. 7:16 The struggles and challenges in the digital industry. 11:30 How much data is good data. 14:55 Staying relevant during times of disruption. 20:18 Analysing data of various cultures for a global company. 24:30 Art of doing business and science of doing business. 27:22 Jon's current role. 30:06 How much of L2 in facing and out facing? 31:45 Qualifying a source/platform. 35:20 Integrating a new source into the existing algorithm. 38:16 Building classifiers. 40:00 Jon's leadership style. 43:00 Client facing a leadership. 45:12 Jon's magic data science hire. 47:28 Suggestion for starting a data practice in a dissimilar industry. 50:55 World without survey. 53:11 Future of data in the digital industry.

Podcast link: https://futureofdata.org/futureofdata-jon-gibs-chief-data-officer-l2-inc/

Bio- Jon Gibs is the Chief Data Officer and Chief Data Scientist at L2, a digital research, benchmarking, and advisory services company recently acquired by the Gartner Group. Prior to his time at L2, Jon founded and was the group vice president of data science and analytics at Huge, a digital agency in Brooklyn, and spent 10 years at Nielsen running its digital analytics practice.

Jon's graduate work has been in Geography and spatial statistics at The University at Buffalo.

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

• ERRATA (As Reported by Peter: "The book Peter mentioned (at 46:20) by Stuart Russell, "Do the Right Thing", was published in 2003, and not recently"

In this session Peter Morgan, CEO Deep Learning Partnership sat with Vishal Kumar, CEO AnalyticsWeek and shared his thoughts around Deep Learning, Machine Learning and Artificial Intelligence. They've discussed some of the best practices when it comes to picking right solution, right vendor and what are some of the keyword means.

Here's Peter's Bio: Peter Morgan is a scientist-entrepreneur starting out in high energy physics enrolled in the PhD program at the University of Massachusetts at Amherst. After leaving UMass, and founding my own company, Peter has moved into computer networks, designing, implementing and troubleshooting global IP networks for companies such as Cisco, IBM and BT Labs. After getting an MBA and dabbling in financial trading algorithms. Peter has worked for three years on an experiment lead by Stanford University to measure the mass of the neutrino. Since 2012. He had been working in Data Science and Deep Learning, founding an AI Solutions company in Jan 2016.

As an entrepreneur Peter has founded companies in the AI, social media, and music industries. He has also served on the advisory board of technology startups. Peter is a popular speaker at conferences, meetups and webinars. He has cofounded and currently organize meetups in the deep learning space. Peter has business experience in the USA, UK and Europe.

Today, as CEO of Deep Learning Partnership, He leads the strategic direction and business development across product and services. This includes sales and marketing, lead generation, client engagement, recruitment, content creation and platform development. Deep Learning technologies used include computer vision and natural language processing and frameworks like TensorFlow, Keras and MXnet. Deep Learning Partnership design and implement AI solutions for our clients across all business domains.

Interested in sharing your thought leadership with our global listeners? Register your interest @ http://play.analyticsweek.com/guest/

In this session, Nathaniel discussed how NFPA uses data to empower fire stations worldwide with data-driven insights. We discussed the future of fire in this tech-driven world.

Timeline: 0:29 Nathaniel's journey. 3:50 What's NFPA? 6:12 Nathaniel's role in NFPA. 8:50 Nathaniel's book. 12:21 The data science team at NFPA. 15:01 Working with the government. 18:50 Interesting use cases of NFPA. 25:49 Fining tuning the data model at NFPA. 28:11 NFPA alliance with the Insurance industry. 31:33 Recruiting an idea concept or tool. 33:16 How to approach NFPA? 36:03 Nathaniel's role: in facing or outfacing? 40:41 Suggestions for Non-profits to build a data science practice. 43:49 Putting together a data science team. 46:34 Predicting the fire outcome. 48:11 Closing remarks.

Podcast link: https://futureofdata.org/futureofdata-nathaniel-lin-chief-data-scientist-nfpa/

Bio- Nathaniel Lin has an extensive background in business and marketing analytics with strategic roles in both start-ups and Fortune 500 companies. He offers the National Fire Protection Association (NFPA) agency and client perspective gleaned from his work at Fidelity Investments, OgilvyOne, Aspen Marketing, and IBM Worldwide. During his tenure with IBM Asia Pacific, he also built and led a marketing analytics group that won a DMA/NCDM Gold Award in B2B Marketing.

Lin served as an adjunct professor of business analytics at Boston College and Georgia Tech College of Management. He is also the founder of two LinkedIn groups related to big data analytics and is the 2014 author of Applied Business Analytics – Integrating Business Process, Big Data, and Advanced Analytics. Lin has an MBA in Management of Technology/Sloan Fellows from MIT Sloan School of Management and earned both a Ph.D. In Environmental Engineering and an Honors B.S from Birmingham University in England.

Founded in 1896, NFPA is a global, nonprofit organization devoted to eliminating death, injury, property, and economic loss due to fire, electrical and related hazards. The association delivers information and knowledge through more than 300 consensus codes and standards, research, training, education, outreach, and advocacy; and partner with others who share an interest in furthering the NFPA mission. For more information, visit www.nfpa.org.

The podcast is sponsored by: TAO.ai(https://tao.ai), Artificial Intelligence Driven Career Coach

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 session, Juan F. Gorricho, Chief Data & Analytics Officer, PFCU / Walt Disney, sat with Vishal Kumar, CEO AnalyticsWeek and shared his journey as an analytics executive, best practices, hacks for upcoming executives, and some challenges/opportunities he's observing as a Chief Data & Analytics Officer. Juan discussed creating a data-driven culture and what leaders could do to get buy-ins for building strong data science capabilities.

Timeline: 0:29 Juan's journey. 4:57 Defining International society of chief data officers. 7:08 Joining International society of CDO. 7:45 Being in a credit union and being a CDO. 10:33 Hacks to creating a data-driven culture. 16:25 Being a partner of Walt Disney. 19:20 Data sharing with Disney. 21:50 Data officers vs. analytics officer. 25:59 Getting the leadership onboard on data. 30:44 The business decision making of a CDO at PFCU. 33:33 Collaboration with IT. 37:48 Challenges Juan faces in his current role. 45:03 Building data solutions or buying data solutions? 49:05 Advice for data leaders.

Podcast link: https://futureofdata.org/analyticsweek-leadership-podcast-with-juan-f-gorricho-disney/

Here's Juan F. Gorricho Bio: Juan F. Gorricho is currently the Chief Data & Analytics Officer for Partners Federal Credit Union. In this role, Juan leads the data and analytics strategy development and execution for Partners, one of the top credit unions in the country, exclusively serving the more than 100,000 cast members of The Walt Disney Company. Juan has more than 15 years of experience in the data and analytics space, including multiple speaking engagements. In his prior roles with Disney, Juan led multiple multimillion-dollar projects to implement business intelligence and analytical solutions for key lines of business such as Labor Operations and Merchandise. Juan has an Industrial Engineering degree from Universidad de los Andes in Bogotá, Colombia, and an MBA from the Darden Graduate School of Business Administration at the University of Virginia. Juan is married and lives with his wife and two children in Orlando, Florida, United States of America.

Follow @jgorricho

The podcast is sponsored by: TAO.ai(https://tao.ai), Artificial Intelligence Driven Career Coach

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 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 session, Scott Zoldi, Chief Analytics Officer, FICO, sat with Vishal Kumar, CEO AnalyticsWeek and shared his journey as an analytics executive, best practices, and hacks for upcoming executives challenges/opportunities he's observing as a Chief Analytics Officer. Scott discussed creating the data-driven culture and what leaders could do to get buy-ins for building strong data science capabilities. Scott discussed his passion for security analytics. He shared some best practices to put-up a Cyber Security Center of Excellence. Scott also shared what traits future leaders should have.

Timeline:

0:29 Scott's journey. 5:10 On Falcon's fraud manager. 9:12 Area in secuity where AI works. 11:40 FICO's dealing with new products. 15:30 Centre of excellence for cyber security. 22:00 Should a center of excellence be inside out or in partnership? 28:22 The CAO role in FICO. 31:14 Is FICO in facing or out facing? 32:12 Being analytical in a gutt based organization. 35:54 Art of doing business and science of doing business. 38:22 Challenges as CAO in FICO. 41:09 Opportunity for data science in the security space. 45:54 Qualities required for a CAO. 48:54 Tips for a data scientist to get hired at FICO.

Podcast link: https://futureofdata.org/analyticsweek-leadership-podcast-with-scott-zoldi-cao-fico/

Here's Scott Zoldi's Bio: Scott Zoldi is Chief Analytics Officer at FICO, responsible for the analytic development of FICO’s product and technology solutions, including the FICO™ Falcon® Fraud Manager product, which protects about two-thirds of the world’s payment card transactions from fraud. While at FICO, Scott has been responsible for authoring 72 analytic patents, 36 patents granted, and 36 in process. Scott is actively involved in developing new analytic products and Big Data analytics applications, many of which leverage new streaming artificial intelligence innovations such as adaptive analytics, collaborative profiling, and self-learning models. Scott is most recently focused on the applications of streaming self-learning analytics for real-time detection of Cyber Security attacks and Money Laundering. Scott serves on two boards of directors, including Software San Diego and Cyber Center of Excellence. Scott received his Ph.D. in theoretical physics from Duke University.

Follow @scottzoldi

The podcast is sponsored by: TAO.ai(https://tao.ai), Artificial Intelligence Driven Career Coach

In this session, Mike Flowers, Chief Analytics Officer, Enigma, sat with Vishal Kumar, CEO AnalyticsWeek and shared his journey as an analytics executive, best practices, hacks for upcoming executives, and some challenges/opportunities he's observing as a Chief Analytics Officer. Mike discussed his journey from trial prosecutor to Chief Analytics Officer, sharing some great stories on how Govt. embraces data analytics.

Timeline: 0:29 Mike's journey. 23:32 Mike's role in Enigma. 27:46 The role of CAO in Enigma. 29:50 How much Mike's role is customer-facing vs. in facing. 30:00 Getting over the roadblocks of working with the government. 34:06 Creating a data bridge. 39:17 Collaboration in the data science field. 46:02 Challenges in working with Clients at Enigma. 51:34 Benefits of having a legal background before coming to data analytics.

Podcast link: https://futureofdata.org/enigma_io/

Here's Mike Flowers Bio: Mike is Chief Analytics Officer at New York City tech start-up Enigma, an operational data management and intelligence company, where he leads data scientists assisting the development and deployment of decision-support technologies to Fortune 500 clients in compliance, manufacturing, banking, and finance, and several U.S. and foreign government agencies. In addition, he is a Senior Fellow at Bloomberg Philanthropies, working with select U.S. city governments to launch sustainable analytics programs. Mike is also an advisor to numerous organizations in a wide variety of fields, including, for example, Weil Cornell Medical College, the Inter-American Development Bank, the Office of the New York State Comptroller, the Greater London Authority, the government of New South Wales, Australia, and the French national government.

From 2014-15, Mike was an Executive-in-Residence and the first MacArthur Urban Science Fellow at NYU’s Center for Urban Science and Progress, where he advised students and faculty on projects to advance data-driven decision-making in city government.

From 2009-2013, Mike served under Mayor Michael Bloomberg as New York City’s first Chief Analytics Officer. During his tenure, he founded the Mayor’s Office of Data Analytics, which provides quantitative support to the city’s public safety, public health, infrastructure development, finance, economic development, disaster preparedness and response, legislative, sustainability, and human services efforts. In addition, Mike designed and oversaw the implementation of NYC DataBridge, a first-of-its-kind citywide analytics platform that enables the sharing and analysis of city data across agencies and with the public, and he ran the implementation of the city’s internationally-recognized Open Data initiative. For this work, Mike was twice recognized by the White House for innovation.

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The podcast is sponsored by: TAO.ai(https://tao.ai), Artificial Intelligence Driven Career Coach

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 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 session, Joe DeCosmo, Chief Analytics Officer, Enova International, sat with Vishal Kumar, CEO AnalyticsWeek and shared his journey to Chief Analytics Officer, life @ Enova, and some challenges/opportunities as he is observing as an executive, industry observer, and a Chief Analytics Officer.

Timeline: 0:29 Joe's journey. 5:05 Credit risk and fraud prevention models. 6:27 Enova: in facing or outfacing? 9:12 Enova area of expertise. 10:47 Enova decisions: Center of Excellence? 12:36 Depths and breadths of decision making at Enova. 14:51 CDO, CAO, and CTO. 17:24 Who owns the data at Enova? 19:55 Challenges in building a data culture. 25:52 Convincing leaders towards data science. 31:24 Business challenges that analytics is solving. 34:15 Getting started with data analytics as a business. 38:11 Exciting trends in data analytics. 41:09 Art of doing business and science of doing business. 44:00 Advice for budding CAOs.

Podcast link: https://futureofdata.org/analyticsweek-leadership-podcast-with-joe-decosmo-enova-international/

Here's Joe's Bio: Joe DeCosmo is the CAO of Enova International, where he leads a multi-disciplinary analytics team, providing end-to-end data and analytic services to Enova’s global online financial service brands and delivering real-time predictive analytics services to clients through Enova Decisions. Prior to Enova, Joe served as Director and Practice Leader of Advanced Analytics for West Monroe Partners and held a number of executive positions at HAVI Global Solutions and the Allant Group. He is also Immediate Past-President of the Chicago Chapter of the American Statistical Association and serves on the Advisory Board of the University of Illinois at Chicago's College of Business.

The podcast is sponsored by: TAO.ai(https://tao.ai), Artificial Intelligence Driven Career Coach

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 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 session, Beena Ammanath, Data Science Products at General Electric, sat with Vishal Kumar, CEO AnalyticsWeek and shared her journey as an analytics executive, life @ GE, future of analytics in the industrial sector, how Predix is helping other industrial companies cope up with growing data, and some challenges/Opportunities she's observing as an analytics executive.

Timeline: 0:29 Beena's journey. 5:19 Data science in the manufacturing sector. 7:03 Driving data science in the manufacturing sector. 9:39 Bringing in the data culture into the manufacturing sector. 11:35 Upskilling and being relevant as a data scientist. 13:27 Hacks to managing data teams well. 16:08 What's Predix? 19:06 Investment opportunities for data science in manufacturing. 21:07 Challenges manufacturing businesses in data. 24:46 IoT and manufacturing. 25:18 Dealing with IoT vendors at Predix. 26:24 Ontology of data at Predix. 29:43 Dealing with the new rules and laws in the IoT sector. 31:30 Interesting use cases in the manufacturing industry. 34:37 Open source vs. enterprise. 35:35 Getting recruited as a data scientist in manufacturing. 40:07 Pitching your product for a manufacturing company.

Podcast link: https://futureofdata.org/leadership-playbook-with-beena-ammanath-ge/

Here's Beena's Bio: Beena Ammanath is Board Director at ChickTech and Head of Data Science Products at General Electric. She is a seasoned technology leader with over 24 years of a proven track record of building, and leading high-performance teams from the ground-up focused on strategy and successful execution of industrial scale technology products and services. She has an impressive track record, having worked at recognized international organizations British Telecom, E*trade, Thomson Reuters, Bank of America, and Silicon Valley startups in engineering and management positions.

She is also helping build the next-gen of computer scientists through her role on the Industry Advisory Board for Cal Poly. She holds a Masters in Computer Science and an MBA in Finance. She has been a featured speaker on the topics of data science, big data, technology transformation, and women in leadership at numerous industry conferences.

Throughout her career in technology, Beena has been a strong advocate for women in positions of technology leadership and has established herself as a voice for resolving gender disparities.

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The podcast is sponsored by: TAO.ai(https://tao.ai), Artificial Intelligence Driven Career Coach

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 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 session, Eloy Sasot, Head of Analytics, NewsCorp, sat with Vishal Kumar, CEO AnalyticsWeek and shared his journey as an analytics executive, best practices, hacks for upcoming executives, and some challenges/opportunities she's observing as a Chief Analytics Officer.

Timeline:

0:29 Eloy's journey. 4:43 Why work in a publishing house? 7:16 Non-tech industry doing tech stuff. 10:18 Tips for a small business to get started with data science. 13:46 Creating a culture of data science in a company. 17:23 Convincing leaders towards data science. 22:05 Initial days for a leader in creating a data science practice. 27:20 Putting together a data science team. 29:18 Choosing the right tool. 33:00 Keep oneself tool agnostic. 35:20 CDO, CAO, and CTO. 38:58 Defining a data scientist at News Corp. 42:12 Future of data analytics. 46:37 Blaming everything on Big Data.

Podcast Link: https://futureofdata.org/563533-2/

Here's Eloy's Bio: Eloy is the CAO at News Corp, a worldwide network of leading companies in the worlds of diversified media, news, education, and information services, such as The Wall Street Journal, Dow Jones, New York Post, The Times, The Sun, The Australian, HarperCollins, Move, Storyful and Unruly

Prior to this, Eloy led Pricing, Data Science and Data Analytics for HarperCollins Publishers, the second-largest consumer book publisher in the world, with operations in 18 countries, nearly 200 years of history, and more than 65 unique imprints. Since joining HarperCollins in 2011, Eloy pioneered the creation and development of the pricing function, first in the UK, and then its extension to an international scale for the global company. He worked with his teams and each division around the world to drive data-driven decision-making, with a particular focus on Pricing. Besides his global role, he was Board Level Director of HarperCollins UK.

He holds an MBA from INSEAD and a Master’s in Mathematical Engineering from INSA Toulouse.

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The podcast is sponsored by: TAO.ai(https://tao.ai), Artificial Intelligence Driven Career Coach

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 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 session, Michael O'Connell, Chief Analytics Officer, TIBCO Software, sat with Vishal Kumar, CEO AnalyticsWeek and shared his journey as a Chief Analytics Executive, shared best practices, cultural hacks for upcoming executives, shared his perspective on changing BI landscape and how businesses could leverage that and shared some challenges/opportunities he's observing across various industries.

Timeline:

0:28 Michael's journey. 4:12 CDO, CAO, and CTO. 7:30 Adoption of data analytics capabilities. 9:55 The BI industry dealing with the latest in data analytics. 12:10 Future of stats. 14:58 Creating a center of excellence with data. 18:00 Evolution of data in BI. 21:40 Small businesses getting started with data analytics. 24:35 First steps in the process of becoming a data-driven company. 26:28 Convincing leaders towards data science. 28:20 Shortest route to become a data scientist. 29:49 A typical day in Michael's life.

Podcast Link: https://futureofdata.org/analyticsweek-leadership-podcast-with-michael-oconnell-tibco-software/

Here's Michael's Bio: Michael O’Connell, Chief Analytics Officer, TIBCO Software, developing analytic solutions across a number of industries including Financial Services, Energy, Life Sciences, Consumer Goods & Retail, and Telco, Media & Networks. Michael has been working on analytics software applications for the past 20 years and has published more than 50 papers and several software packages on analytics methodology and applications. Michael did his Ph.D. work in Statistics at North Carolina State University and is Adjunct Professor Statistics in the department.

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The podcast is sponsored by: TAO.ai(https://tao.ai), Artificial Intelligence Driven Career Coach

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 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