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Data Magic with Alteryx: From PDFs to AI-Driven Action
2025-09-24 · 14:00
Owen Coyle
– Technical Consultant
@ Bulien
Businesses spend countless hours wrangling data: extracting information from messy PDFs, building dashboards that nobody uses, and attempting to extract insights that simply don’t exist. Surely there’s a better way? In this session, Vishal Soni and Owen Coyle will show how AI and Alteryx can work together to completely transform how you handle data. Starting with one of the toughest challenges: extracting structured information from unstructured PDFs. Instead of complex regex, manual OCR, or hours of cleanup, you’ll see how LLMs inside Alteryx can instantly convert complex documents into clean, tabular data that’s ready for analysis. Once this data is processed: Alteryx Auto Insights can be leveraged, which produces AI-powered analysis of your data, and jumps straight to the “why” behind the numbers. You’ll quickly see how Auto Insights surfaces the most important trends, patterns, anomalies and actionable insights. All this, while generating personalized, presentation-ready reports to drive action. Whether you’re new to Alteryx or already an experienced user, you’ll leave this session with a clear understanding of how AI is changing analytics – turning hours of manual work into instant, actional insight – and how Alteryx is that the forefront of this change. |
Big Data LDN 2025
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Panel discussion: What didn’t they tell you about Engineering Management?
2023-12-06 · 17:00
Please use this registration link to RSVP. Ever wondered what they didn't tell you about transitioning to an engineering manager? Curious how to choose between technical leadership and people management? Can introverts excel just as much as extroverts in this role? Find out at the GDG Berlin panel discussion at Shiftmove as we uncover these career mysteries! Dive deep into the insights of becoming an engineering manager, and hear the stories of those who made it. Explore how to retain engineers and what motivates them. Learn the secrets of balancing tech quality and business growth. Whether you're an individual contributor or a team leader, whether you're here to learn or eager to actively participate by sharing your opinions and asking questions, you're wholeheartedly invited. See you at the GDG Berlin meetup at Shiftmove! Agenda 6:00 PM: Registration 6:30 PM: Panel discussion & Q&A In this part we will talk about Career Paths in Engineering Management. 7:15 PM: Break 7:30 PM: Panel discussion & Q&A In the second part of the discussion we will address topic of Building and Leading High-Performing Engineering Teams. 8:00 PM: Pizza & drinks Panelists Jason Thrasher - Shiftmove (CTO) Jason is an engineer who loves to build technology and teams. He is new to Berlin, having joined Shiftmove to solve mobility problems in the European markets through technological transformation. He has been fortunate to be a part of exits in Silicon Valley, and is currently learning new things about the tech market in Germany as he broadens his world view. CJ Jenkins - Zalando (Applied Science Manager) CJ is a reformed academic who spent years building and deploying machine learning algorithms for various fintechs. She has spent the past 3 years leading data and engineering teams, and loves helping people grow within their role and executing deliverables on time. Vishal Varshney - Zalando (Engineering Leader) I am a Senior Engineering Manager for Product Development with 17 years of experience. I have extensive experience in setting up processes and automation infrastructure for agile teams. Moderator Eugenia Zigisova - Limehome GmbH (Frontend Lead) Eugenia is a frontend engineer and lead at Limehome—a digital hotel starup, and tech event speaker who is passionate about web performance. She has experience working in fast-growing European startups like N26 and Gorillas where she helped to build a web performance culture. Before moving to Berlin, she ran Google Developer Group and led Women Techmakers in Latvia for several years. Hosted By Abhinav Kulshreshtha, GDG Organizer Eugenia Zigisova, Organizer Jerome Mouton, Organizer Louis Tsai, GDG Organizer manjula dube, Organizer Partner Shiftmove (https://www.shiftmove.com/) SHIFTMOVE is the European pioneer for mobility operations. Emerging from the merger of the two market leaders Avrios and Vimcar, SHIFTMOVE enables companies to reap the benefits of holistic operational mobility management. SHIFTMOVE's mission is to integrate all mobility needs of employees, goods and tools in an easy-to-manage, cloud-based software platform. It creates the basis for transforming operational mobility from a pure cost factor into a value driver for the entire organisation. Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-berlin-presents-panel-discussion-what-didnt-they-tell-you-about-engineering-management/. |
Panel discussion: What didn’t they tell you about Engineering Management?
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128 - Data Products for Dummies and The Importance of Data Product Management with Vishal Singh of Starburst
2023-10-17 · 04:30
Brian T. O’Neill
– host
,
Vishal Singh
– Head of Products
@ Starburst
Today I’m joined by Vishal Singh, Head of Data Products at Starburst and co-author of the newly published e-book, Data Products for Dummies. Throughout our conversation, Vishal explains how the variations in definitions for a data product actually led to the creation of the e-book, and we discuss the differences between our two definitions. Vishal gives a detailed description of how he believes Data Product Managers should be conducting their discovery and gathering feedback from end users, and how his team evaluates whether their data products are truly successful and user-friendly. Highlights/ Skip to: I introduce Vishal, the Head of Data Products at Starburst and contributor of the e-book Data Products for Dummies (00:37) Vishal describes how his customers at Starburst all had a common problem, but differing definitions of a data product, which led to the creation of his e-book (01:15) Vishal shares his one-sentence definition of a data product (02:50) How Vishal’s definition of a data product differs from mine, and we both expand on the possibilities between the two (05:33) The tactics Vishal uses to useful feedback to ensure the data products he develops are valuable for end users (07:48) Why Vishal finds it difficult to get one on one feedback from users during the iteration phase of data product development (11:07) The danger of sunk cost bias in the iteration phase of data product development (13:10) Vishal describes how he views the role of a DPM when it comes to doing effective initial discovery (15:27) How Vishal structures his teams and their interactions with each other and their end users (21:34) Vishal’s thoughts on how design affects both data scientists and end users (24:16) How DPMs at Starburst evaluate if the data product design is user-friendly (28:45) Vishal’s views on where Designers are valuable in the data product development process (35:00) Vishal and I discuss the importance of ensuring your products truly solve your user’s problems (44:44) Where you can learn more about Vishal’s upcoming events and the e-book, Data Products for Dummies (49:48) Links Starburst: https://www.starburst.io/ Data Products for Dummies: https://www.starburst.io/info/data-products-for-dummies/ “How to Measure the Impact of Data Products with Doug Hubbard”: https://designingforanalytics.com/resources/episodes/080-how-to-measure-the-impact-of-data-productsand-anything-else-with-forecasting-and-measurement-expert-doug-hubbard/ Trino Summit: https://www.starburst.io/info/trinosummit2023/ Galaxy Platform: https://www.starburst.io/platform/starburst-galaxy/ Datanova Summit: https://www.starburst.io/datanova/ LinkedIn: https://www.linkedin.com/in/singhsvishal/ Twitter: https://twitter.com/vishal_singh |
Experiencing Data w/ Brian T. O’Neill (AI & data product management leadership—powered by UX design) |
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Microsoft Data Platform User Group: Autumn meeting #1
2023-09-14 · 14:00
We have our first in-person meetup of the autumn season on 14th of September. This time the location is CGI's headquarters in Pitäjänmäki, Helsinki (Karvaamokuja 2 D). Agenda: - 17:00 - 18:00 Vishal Sinha: Leveraging large scale generative AI models using Azure OpenAI Service - 18:00 - 18:30 Food sponsored by CGI - 18:30 - 19:00 Oskari Heikkinen: Power BI Direct Lake performance - 19:00 - Community discussion: Let's share our first experiences with Microsoft Fabric. We hope that everyone who has played around with the service would join the discussion and share their thoughts so far. Discussion will be led by Vesku\, Heini and Oskari. Would you like to speak at the next event? Please do get in touch with either Vesa Tikkanen, Oskari Heikkinen or Heini Ilmarinen. |
Microsoft Data Platform User Group: Autumn meeting #1
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Using Product Driven Development To Improve The Productivity And Effectiveness Of Your Data Teams
2022-12-29 · 02:00
Vishal Singh
– Head of Products
@ Starburst
,
Tobias Macey
– host
Summary With all of the messaging about treating data as a product it is becoming difficult to know what that even means. Vishal Singh is the head of products at Starburst which means that he has to spend all of his time thinking and talking about the details of product thinking and its application to data. In this episode he shares his thoughts on the strategic and tactical elements of moving your work as a data professional from being task-oriented to being product-oriented and the long term improvements in your productivity that it provides. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you're ready to build your next pipeline, or want to test out the projects you hear about on the show, you'll need somewhere to deploy it, so check out our friends at Linode. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services. And don't forget to thank them for their continued support of this show! Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. By the time errors have made their way into production, it’s often too late and damage is done. Datafold built automated regression testing to help data and analytics engineers deal with data quality in their pull requests. Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. No more shipping and praying, you can now know exactly what will change in your database! Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. Sign up free at dataengineeringpodcast.com/rudder Build Data Pipelines. Not DAGs. That’s the spirit behind Upsolver SQLake, a new self-service data pipeline platform that lets you build batch and streaming pipelines without falling into the black hole of DAG-based orchestration. All you do is write a query in SQL to declare your transformation, and SQLake will turn it into a continuous pipeline that scales to petabytes and delivers up to the minute fresh data. SQLake supports a broad set of transformations, including high-cardinality joins, aggregations, upserts and window operations. Output data can be streamed into a data lake for query engines like Presto, Trino or Spark SQL, a data warehouse like Snowflake or Redshift., or any other destination you choose. Pricing for SQLake is simple. You pay $99 per terabyte ingested into your data lake using SQLake, and run unlimited transformation pipelines for free. That way data engineers and data users can process to their heart’s content without worrying about their cloud bill. For data engineering podcast listeners, we’re offering a 30 day trial with unlimited data, so go to dataengineeringpodcast.com/upsolver today and see for yourself how to avoid DAG hell. Your host is Tobias Macey and today I'm interviewing Vishal Singh about his experience |
Data Engineering Podcast |
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Rethinking Competitive Advantage with Ram Charan
2021-09-29 · 11:00
Ram Charan
– Author, Co-author, business strategist
,
Vishal
– host
In this session, Ram discussed the ever-evolving world of competitive advantage. He shared how current changes desire to rethink of competitive edge strategies. He shared some data-driven strategies and some best practices that are executable and easy to implement. Bio: Ram Charan is the co-author of the bestselling Execution and Confronting Reality, written with Larry Bossidy, and the author of Know-How and a dozen other books. A former award-winning Harvard Business School professor, he is a worldwide expert on business strategy, execution, corporate boards, and building a high-performance organization. He has worked with the CEOs of some of the world's most successful companies, including GE, Bank of America, Verizon, Coca-Cola, 3M, Merck, Aditya Birla Group, and Tata Group. Ram's Book: Rethinking Competitive Advantage: New Rules for the Digital Age https://amzn.to/3x5cU3w Discussion Timeline: TIMELINE Stage 1: Lead-in 1. Starter: Give your starter pitch 1-2 points/key takeaways that this book points to: 2. Vishal briefly introduce the guest and kicks off the session Stage 2: Subject Matter Expertise 3. What is the state of organizations today? 4. How to steer an organization when external forces influence your internals [pandemic etc.] 5. What are some good habits you surfaced for a constantly evolving organization 6. What are some signs that you are steering in the wrong direction? Stage 3: Introduction as an author 7. Explain your journey to your current role? 8. Could you share something about your current role? 9. What does your company do? 10. Explain your journey to this book? 11. Why write this book? Stage 4: Main points on the books 12. What has changed about business today that has rendered obsolete the classic rules of competitive strategy established by Michael Porter and others and requires a new playbook? 13. As an advisor to some of the world's top CEOs, how worried are they about competing with digital giants right now and what is their best hope? 14. Does Wal-Mart stand a chance at competing with the ultimate digital giant of Amazon? 15. Why is imagination such an important skill for competing today? 16. What is the reason companies should spend more time thinking about their ecosystem than on their direct competitors? 17. Why do you say that companies need a money-making model, not a business model, and what’s an example? Stage 4: Rapid Fire [Say what comes to your mind] 18 a. #FutureOfWork 18 b. #Technology 18 c. #Leadership 18 d. #Competition 18 e. #Partnership 18 f. #Capitalism 18 g. #GoodBusiness 18 h. #BadBusiness 18 i. #FutureOfLearning 18 j. #CompetitiveAdvantage 18 k. #1ThingsMisunderstoodAboutCompetition Stage 5: Closing 19. What are 1-3 best practices that you think are the key to success in your journey? 20. Do you have any favorite read? 21. As a closing remark, what would you like to tell our audience? About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai About WorkPod: Work Pod takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of work, workers, and the workplace. About Work2.org WorkPod is managed by Work2.org, a #FutureOfWork community for HR and Organization architects and leaders. Sponsorship / Guest Request should be directed to [email protected] Keywords: FutureofWork #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2 |
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Discussing Startup Failures with Tom Eisenmann
2021-09-22 · 11:00
Tom Eisenmann
– Howard H. Stevenson Professor of Business Administration
@ Harvard Business School
,
Vishal
– host
In this conversation, Thomas Eisenmann discussed the complicated world of startup failures. Tom discussed various failures and what are some ways businesses could have done right. This is a great conversation for anyone seeking to understand failures and how to avoid them. Bio: Tom Eisenmann is the Howard H. Stevenson Professor of Business Administration at Harvard Business School (HBS) and the faculty co-chair of the Arthur Rock Center for Entrepreneurship. Since joining the HBS faculty in 1997, he’s led The Entrepreneurial Manager, an introductory course taught to all first-year MBAs, and launched fourteen electives on all aspects of entrepreneurship, including one on startup failure. Eisenmann has authored more than one hundred HBS case studies and his writing has appeared in The Wall Street Journal, Harvard Business Review, and Forbes. He is the author of the new book Why Startups Fail. Thomas's Book: Why Startups Fail: A New Roadmap for Entrepreneurial Success https://amzn.to/2SeCCEa Discussion Timeline: TIMELINE Stage 1: Lead-in 1. Starter: Give your starter pitch 1 point that this book points to: 2. Vishal briefly introduce guest Stage 2: Subject Matter Expertise 3. What is the state of startups today? 4. What are some common pitfalls you find in the world of startups? 5. What is the state of innovation today? 6. What are some common patterns you are seeing when it comes to startups that are coming up today? 7. How has corporate innovation stifled over the last year? Stage 3: Introduction as an author 8. Why study startup failures? 9. What are some surprises you found in studying startup failures? 10. What are the most common patterns of failure? 11. Why is it important to normalize and accept failure? 12. Is there such a thing as failing well? 13. What was one of most of the unexpected failures you learned about when writing this book? 14. How you should embrace failure if you are a founder? 15. Are failures something you avoid or something you should embrace? 16. Naseem Taleb suggests being anti-fragile, can startup be anti-fragile Stage 4: Rapid Fire [Say what comes to your mind] 17 a. #Startups 17 b. #Entrepreneurship 17 c. #Failures 17 d. #Growth 17 e. #Culture 17 f. #Founder 17 g. #Disruption 17 h. #JobsOfFuture 17 i. #FutureofStartup 17 j. #FutureofOrganization Stage 5: Closing 18. What are 1-3 best practices that you think are the key to success in your journey? 19. Do you have any favorite read? 20. As a closing remark, what would you like to tell our audience? About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai About WorkPod: Work Pod takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of work, workers, and the workplace. About Work2.org WorkPod is managed by Work2.org, a #FutureOfWork community for HR and Organization architects and leaders. Sponsorship / Guest Request should be directed to [email protected] Keywords: FutureofWork #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2 |
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Data, Technology and #FutureofWork
2021-09-15 · 11:00
Ben Pring
– guest
In this podcast, Ben Pring co-founded and leads the Center for the Future of Work at Cognizant discussed the challenges of technology and transformation as we go through the future of work. Ben shared some challenges of not doing technology transformation properly. He also talked about his book Monster sharing similar insights as it relates to technology and its adoption. Introduction: Ben Pring co-founded and leads the Center for the Future of Work at Cognizant, a $16+ billion American multinational technology company that provides consulting, information technology, and outsourcing services and has over 289,500 employees. Ben sits on the advisory board of the Labor and Work-Life program at Harvard Law School. In 2018 Ben was a Bilderberg Meeting participant. Ben was named as one of 30 management thinkers to watch in 2020 by Thinkers 50. He was recently named a leading influencer on the future of work by Onalytica. In 2007, Ben won Gartner's prestigious Thought Leader Award. His work has been featured in the Wall Street Journal, the Financial Times, the London Times, the Drucker Forum Report, Business Insider, Forbes, and Fortune. Based near Boston since 2000, Ben graduated with a degree in Philosophy from Manchester University, in the UK where he grew up. Here's the GPS for the questions (These are just the boundaries questions to give a rough journey for the conversation): Stage 1: Lead-in 1. Starter: Give your starter pitch 1 point that this book points to: 2. Vishal briefly introduce guest Stage 2: Subject Matter Expertise 3. What is the state of work today? 4. Why did you chose to invest yourself in FutureOfWork 5. How has the future of work changed since the last year? 6. What is one thing people get wrong about Work & Technology? Stage 3: Introduction as an author 7. Why do you call technology a "monster" that we can't yet tame? 8. Why did you feel it was important for you as tech insiders to speak up about a topic that many others are running from? 9. What's been missing from today's heated conversation about technology's rising power? 10. Why write monster? 11. Why relate technology with a monster? 12. How to reclaim control of technology? 13. What is the role of government? 14. What is the role of business? 15. What is the role of a leader? Stage 4: Rapid Fire with Ben Pring [Say what comes to your mind] 16 a. #FutureOfWork 16 b. #Technology 16 c. #Leadership 16 d. #Monster 16 e. #Equity 16 f. #Diversity 16 g. #Legislature 16 h. #JobsOfFuture 16 i. #FutureOfLearning 16 j. #Something exciting 16 k. #Things that keep you up at night? Stage 5: Closing 17. What are 1-3 best practices that you think are the key to success in your journey? 18. Do you have any favorite read? 19. As a closing remark, what would you like to tell our audience? About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai About WorkPod: Work Pod takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of work, workers, and the workplace. About Work2.org WorkPod is managed by Work2.org, a #FutureOfWork community for HR and Organization architects and leaders. Sponsorship / Guest Request should be directed to [email protected] Keywords: FutureofWork #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2 |
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Building an AI First Company and Culture
2021-05-19 · 11:00
Discussing AI First Company and AI First mentality with Ash Fontana. He sheds light on how organizations could embrace analytics, data and AI to retain competitive edge. Bio: Ash Fontana became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta, the first investment fund that focused on AI. The firm was the lead investor in category-defining AI companies such as Kaggle, Domino, Tractable, Lilt and Invenia. He has appeared in Fast Company, Bloomberg, Forbes, CNBC and at the UN. This is his first book. Ash's Book: The AI-First Company: How to Compete and Win with Artificial Intelligence by Ash Fontana https://amzn.to/33C2OL5 Ash's Recommendations: On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines by Jeff Hawkins, Sandra Blakeslee https://amzn.to/3vZhksk Neurophilosophy: Toward a Unified Science of the Mind-Brain by Patricia S. Churchland https://amzn.to/2RiKrYO Discussion Timeline: TIMELINE Some questions we covered: 1. Starter: Give your starter pitch 1 point that this book points to: 2. Vishal briefly introduce guest Stage 2: Subject Matter Expertise 3. What is the state of startups today? 4. State of AI in mature organization? 5. AI and Enterprise outlook? Cautionary tale or hopeful story 6. Who will win the AI race? 7. Challenges in AI adoption? Stage 3: Introduction as an author 8. What is an AI-First company? 9. Why write AI-First? 10. Why does every company need to prioritize AI over the next decade? 11. What are the most common mistakes companies make when trying to become AI-First? 12. What’s the difference between “lean-startup” and “lean AI”? 14. How do AI-First companies retain more of the “first mover” advantage than others? 15. AI + Business, will make it more science or art? 16. Can AI be a competitive edge Stage 4: Rapid Fire with Ben Pring [Say what comes to your mind] 17 a. #MachineLearning 17 b. #Technology 17 c. #Leadership 17 d. #FutureOfWork 17 e. #Culture 17 f. #DigitalTransformation 17 g. #Disruption 17 h. #JobsOfFuture 17 i. #FutureofStartup 17 j. #FutureofOrganization 17 k. #AIFirst Stage 5: Closing 18. What are 1-3 best practices that you think are the key to success in your journey? 19. Do you have any favorite read? 20. As a closing remark, what would you like to tell our audience? About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai About FutureOfData: FutureOfData takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of data, analytics, and insights. About AnalyticsWeek.com FutureOfData is managed by AnalyticsWeek.com, a #FutureOfData Leadership community of Organization architects and leaders. Sponsorship / Guest Request should be directed to [email protected] Keywords: FutureofData #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2 |
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Age of data and the live enterprise
2021-03-31 · 12:00
Jeff Kavanaugh
– Global head for the Infosys Knowledge Institute; Adjunct Professor at the University of Texas at Dallas
@ Infosys
,
Vishal
– host
Discussing #FutureOfData & Growth with Jeff Kavanaugh. Jeff discussed the importance and tenets of a live evolving organizations. He shared some tips and tricks that businesses could do to ensure they are evolving for faster and agile growth through the age of transformation. Jeff Kavanaugh is global head for the Infosys Knowledge Institute, the research and thought leadership arm of Infosys, a leader in digital services and consulting. Jeff is also an adjunct professor at the business school at the University of Texas at Dallas. He authored the best-selling book Consulting Essentials, and serves on boards of the Institute of Business Analytics at Indiana University, and the Marketing Analytics Advisory Board at the University of Texas at Dallas. Jeff earned an MBA from the University of North Texas. Jeff's Book: The Live Enterprise: Create a Continuously Evolving and Learning Organization https://amzn.to/3pYJFMd Jeff's Recommendations: Contact https://amzn.to/37LvGmB The Nature of Nature: Why We Need the Wild https://amzn.to/37J3PTM Longitude https://amzn.to/3buTEDC Endurance https://amzn.to/3by5hK1 Discussion Timeline: TIMELINE Some questions we covered: 1. Starter: Give your starter pitch 1-2 points/key takeaways that this book points to: 2. Vishal briefly introduce the guest and kicks off the session 3. What is the state of organizations today? 4. How to steer an organization when external forces influence your internals [pandemic etc.] 5. What are some good habits you surfaced for a constantly evolving organization 6. What are some signs that you are steering in the wrong direction? 7. Explain your journey to your current role? 8. Could you share something about your current role? 9. What does your company do? 10. Explain your journey to this book? 11. Why write this book? 12. What are key takeaways in Live Enterprise 13. What are some role model companies pursuing the Live Enterprise model 14. What are the key drivers of a live enterprise 15. How to get started on this journey of making your organization live and adapting? 16. What are some misconceptions your want to un-surface? 17. What are 1-3 best practices that you think are the key to success in your journey? 18. Do you have any favorite read? 19. As a closing remark, what would you like to tell our audience? About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai About FutureOfData: FutureOfData takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of data, analytics, and insights. About AnalyticsWeek.com FutureOfData is managed by AnalyticsWeek.com, a #FutureOfData Leadership community of Organization architects and leaders. Sponsorship / Guest Request should be directed to [email protected] Keywords: FutureofData #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2 |
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Discussing Data, Innovation, and Creativity with Josh Linkner
2021-03-10 · 13:00
Josh Linkner
– Chairman and co-founder
@ Platypus Labs
,
Vishal
– host
Discussing Data, Innovation, and Creativity with Josh Linkner talks about using little creativity spurts to use for disruption. He sheds light on how organizations could embrace creativity and use little creative innovation to help stir for big breakthroughs. She shared lots of example of big little breakthroughs. Bio: He has been the founder and CEO of five tech companies, which sold for a combined value of over $200 million. He’s the author of four books including the New York Times Bestsellers, Disciplined Dreaming, and The Road to Reinvention. This guy just loves starting and building companies. He’s the founding partner of Detroit Venture Partners and has been involved in the launch of over 100 startups. Today, Josh serves as Chairman and co-founder of Platypus Labs, innovation research, training, and consulting firm. He has twice been named the Ernst & Young Entrepreneur of the Year and is a recipient of the United States Presidential Champion of Change Award. Josh is also a passionate Detroiter, the father of four, a professional-level jazz guitarist, and has a slightly odd obsession for greasy pizza Josh's Book: Big Little Breakthroughs https://amzn.to/3usFCLm Josh's Recommendations: Think Like a Monk: Train Your Mind for Peace and Purpose Every Day https://amzn.to/3bzvyYh Range: Why Generalists Triumph in a Specialized World https://amzn.to/37K4PqW Think Again: The Power of Knowing What You Don't Know https://amzn.to/37MepcR Discussion Timeline: TIMELINE Some questions we covered: 1. Starter: Give your starter pitch 1 point that Big Little Breakthroughs points to: 2. Vishal briefly introduce Josh 3. What are you seeing the role of innovation in the middle of firefight[pandemic] 4. What is the state of enterprise investments to promote innovation? 5. What are some easy to fix bottlenecks to get enterprises to keep on innovating 6. What are some misconceptions about innovation and its adoption 7. Explain your journey to your current role? 8. Could you share something about your current role? 9. What does your company do? 10. Explain your journey to this book? 11. Why write this book? 12. Why are you so passionate about helping everyday people become everyday innovators? 13. What's the most misunderstood thing around human creativity? 14. What's your favorite brainstorming technique? 15. From doing the research for your new book, Big Little Breakthroughs, what surprised you the most? 16. What are 1-3 best practices that you think are the key to success in your journey? 17. Do you have any favorite read? 18. As a closing remark, what would you like to tell our audience? About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai About FutureOfData: FutureOfData takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of data, analytics, and insights. About AnalyticsWeek.com FutureOfData is managed by AnalyticsWeek.com, a #FutureOfData Leadership community of Organization architects and leaders. Sponsorship / Guest Request should be directed to [email protected] Keywords: FutureofData #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2 |
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Thomas Dietterich ( @tdietterich ) on Understanding the Depth of AI
2020-12-15 · 14:48
Thomas Dietterich
– Distinguished Professor Emeritus
@ Oregon State University
,
Vishal
– host
Thomas Dietterich ( @tdietterich ) on Understanding the Depth of AI #FutureOfData #Leadership #Podcast In this podcast Thomas Dietterich(@tdietterich) Distinguished Professor Emeritus @ Oregan State University sat with Vishal @ AnalyticsWeek to discuss the depth of AI. in This session Tom shared the current state, limitations and future of AI. He shared areas where AI is relevant and which areas are still seeking more testing for AI adoption. He also shared some of the pitfalls with current AI framework, area of selective bias, knowing context etc. This is a great session for anyone seeking to learn about the World of AI. Thomas's Recommended Read: Army of None: Autonomous Weapons and the Future of War by Paul Scharre https://amzn.to/2CnoA94 Podcast Link: iTunes: http://math.im/itunes Youtube: http://math.im/youtube Thomas's BIO: Thomas Dietterich has devoted his career to research in machine learning starting from the very first machine learning workshop in 1980. Along the way, he has been involved in four startup companies: Arris Pharmaceutical, MusicStrands, Smart Desktop, and (currently) BigML. He has made important contributions to learning with weak labels, ensemble methods, hierarchical reinforcement learning. and robust artificial intelligence. He was founding President of the International Machine Learning Society (which runs the International Conference on Machine Learning) and President of the Association for the Advancement of Artificial Intelligence. He has served on numerous government advisory bodies and currently is a member of the steering committee of the DARPA ISAT group. Dietterich earned his bachelor's degree from Oberlin College, his M.S. from the University of Illinois, and his PhD from Stanford University. He is a Fellow of the ACM, AAAI, and AAAS. About #Podcast: FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.Wanna Join? If you or any you know wants to join in, Register your interest by mailing us @ [email protected] Want to sponsor? Email us @ [email protected] Keywords: FutureOfData, DataAnalytics, Leadership, Futurist, Podcast, BigData, Strategy |
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2019-05-23 // Excursion Thursday: Mumbai, India
2019-05-23 · 04:00
Jason Joven
– host
@ Chartmetric
HighlightsGrab your passports, it’s Excursion Thursday, and we’re headed to Mumbai, India’s largest city and Spotify’s largest potential market.Mission Good morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists, and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Thursday, May 23rd, 2019.Excursion Thursday: MumbaiOn today’s Excursion Thursday, we’re taking off to India’s most populated city, Mumbai, which has quickly become a testing ground for Spotify’s global expansion strategy. Until 1995, the “Hollywood of India” was also called Bombay, what many in India saw as a vestige of British colonialism, hence the name change. The city’s booming movie industry lends the city its other famous moniker, “Bollywood”.Mumbai is not only the wealthiest city in India, but it’s also arguably the financial, arts, and entertainment capital of the entire country with an estimated 22.5 million Mumbaikars more than doubling the population of New York City!It’s clear why Spotify’s weathering its recent challenges in-country, as India’s population is currently at 1.4 billion and climbing — that’s almost 20 percent of everybody on earth, while North America comprises around 5 percent. So, if Spotify’s been able to acquire an estimated 50M monthly active users out of North America’s 366M people and an estimated 60M monthly active users out of Europe’s 743M people, that gives them a market penetration rate lying somewhere between 8 and 15 percent. Apply that to a population of 1.4B, and SPOT’s stock price will rise, for sure.So, based on the city’s listening profile….how’s it going? Unfortunately, it’s too early to tap into Spotify’s local monthly listeners, but we can at least look at other Western platforms that are operating there.Mumbai’s Shazam and YouTube charts definitely reflect the battle between domestic and foreign repertoire preferences.According to the Top 90 tracks by Shazam Chart Occurrences in the past month, a total of 22 bear Indian ISRC codes. That’s around 25% of total Shazam’d tracks we captured, while there are 38 US-based ISRCs present, about 40%.Moving to Shazam’s most charted artists in Mumbai over the last 30 days, American rappers Swae Lee and Lil Nas X come in 1st and 3rd with 52 and 47 chart appearances, respectively, and Puerto Rican singer Farruko in 2nd with 50. Fourth and 5th place go to film music composers Vishal-Shekhar and star singer Arijit Singh with 42 and 41 chart appearances each.Using Top Tracks by YouTube Views, we see a mixed bag at the top, with T. Swift and Brendon Urie’s “Me!” at 235K average daily views and Katy Perry and Migos’ “Bon Appétit” at 77K daily views in 1st and 3rd place respectively. Second place goes to “Aankh Mare” from Bollywood movie Simmba sitting pretty at 188K views. Genre-wise on the Shazam charts in the past month, it’s still a battle between local and foreign fare: with Hip-Hop at 11 genre tags from mostly American artists, Dance at 15 genre tags from an international artist roster, and Pop at 22 genre tags from both Western and Indian artists. Twelve of Pop genre tags are from domestic artists, suggesting there’s a slight skew in the past month toward the local when it comes to the genre.While Spotify competes with the entrenched Indian streaming service JioSaavn, partly headquartered in Mumbai and specializing in Bollywood music , Mumbai’s demand for both Indian and Western music will prove to either be Spotify’s ace in the hole or rock in its shoe.OutroThat’s a wrap for your Daily Data Dump for Thursday, May 23nd, 2019. This is Jason from Chartmetric.Free accounts are at app.chartmetric.com/signupAnd article links and show notes are at: podcast.chartmetric.com.Hope you’re not too jet-lagged from today’s Excursion Thursday, and we’ll see you back here tomorrow! |
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Road to building a successful AI Startup @DennisMortensen @XdotAI
2018-09-20 · 15:00
Dennis Mortensen
– CEO and co-founder
@ x.ai
,
Vishal Kumar
– CEO
@ AnalyticsWeek
In this podcast, Dennis Mortensen (@DennisMortensen @XdotAI) sat with Vishal Kumar from @AnalyticsWeek to discuss his entrepreneurial journey of building successful analytics startups. He shares his journey to starting advanced analytics at AI startup x.ai and how he is solving an important productivity killer using AI. He shared his challenges and opportunities of being an early entrant into the AI startup space. He also shared his thoughts on Google Wave and Google Duplex and what to expect from these technologies in the future. Timelines: 0:28 Dennis's journey 4:46 Dennis's "why." 9:50 Dennis's success mantra. 14:45 Making of X.ai 19:03 Educating the market 22:34 Surprises on the way 30:05 Killing the inbox 35:50 Why the calendar? 39:07 About Google. duplex 50:05 Future of work 55:00 Recommended books. Dennis's Recommended Read: The Narrow Road: A Brief Guide to the Getting of Money by Felix Dennis amzn.to/2vaJ1S4 Undisputed Truth by Mike Tyson, Larry Sloman amzn.to/2ACOypK Shoe Dog: A Memoir by the Creator of Nike by Phil Knight amzn.to/2MaFMAu Podcast Link: https://futureofdata.org/road-to-building-a-successful-ai-startup-dennismortensen-xdotai-futureofdata-podcast/ Dennis's BIO: Dennis Mortensen is the CEO and co-founder of x.ai. Dennis is an expert in leveraging data to solve enterprise use cases and a serial entrepreneur who’s successfully exited several companies on that theme. His long-term vision of killing the inbox led to the formation of x.ai and the creation of Amy + Andrew, artificially intelligent assistants who schedule meetings. He frequently speaks to anyone who’ll listen, from the crowds of Web Summit to his building’s doorman, about an optimistic future for AI, productivity, and the future of work. Dennis was also an accredited Associate Analytics Instructor at the University of British Columbia and the author of Data-Driven Insights, on collecting and analyzing digital data. About #Podcast: FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.Wanna Join? If you or any you know wants to join in, Register your interest by emailing us @ [email protected] Want to sponsor? Email us @ [email protected] Keywords: FutureOfData, DataAnalytics, Leadership, Futurist, Podcast, BigData, Strategy |
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Solving #FutureOfOrgs with #Detonate mindset (by @steven_goldbach & @geofftuff) #JobsOfFuture
2018-06-21 · 15:01
Geoff Tuff
– principal, Innovation and Applied Design
@ Deloitte
,
Steven Goldbach
– principal; chief strategy officer
@ Deloitte
,
Vishal
– host
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 |
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@AlexWG on Unwrapping Intelligence in #ArtificialIntelligence
2018-05-23 · 18:00
Alexander D. Wissner-Gross
– President and Chief Scientist
@ Gemedy
,
Vishal Kumar
– CEO
@ AnalyticsWeek
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 |
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@ChuckRehberg / @TrigentSoftware on Translating Technology to Solve Business Problems
2018-02-08 · 02:18
Chuck Rehberg
– CTO
@ Trigent Software
,
Vishal
– host
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 |
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Discussing the World of Crypto with @JoelComm / @BadCrypto #FutureOfData
2017-12-13 · 15:02
Joel Comm
– host / podcast host
@ The Bad Crypto Podcast
,
Vishal Kumar
– CEO
@ AnalyticsWeek
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 |
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@BrianHaugli @The_Hanover on Building a #Leadership #Security #Mindset
2017-11-08 · 13:30
Brian Haugli
– Certified Information Systems Security Professional (CISSP); Global Industrial Cyber Security Professional (GICSP)
@ The Hanover Insurance Group
,
Vishal
– host
In This podcast, Brian Haugli from The Hanover Insurance Group sat with Vishal to talk about some of the security led leader's mindset. From discussing some of the leadership mindset to practitioner tactical guide to help future security leaders to understand how to secure their organization. This session is great for any security, passionate leader willing to create a security wrapped growth mindset. Timeline: 0:28 Brian's journey. 3:45 Brian's current role. 7:43 CSO combining with physical security. 10:12 Physical security infrastructure. 11:55 Brian's journey from Military and corporate. 14:42 Common challenges for a CSO. 17:37 Do security certifications help professionals secure an organization? 22:14 Advice for those wanting to join the security industry. 27:14 Recommendations for a startup to stay secure. 34:32 CSO's necessity in understanding tech and business. 36:35 Hacks to cope with new company integrations and operations. 40:50 Security vs. business innovation. 44:13 Security is seen as professional janitors. 52:30 The role of government and regulations in providing security. 55:30 Brian's keys to success. 58:36 Closing remarks. Brian's Read Recommendation: On The Road by Jack Kerouac http://amzn.to/2hMhOhG Podcast Link: https://futureofdata.org/brianhaugli-the_hanover-%e2%80%8fon-building-leadership-security-mindset/ GooglePlay: http://math.im/gplay Brian's BIO: Brian Haugli is a Certified Information Systems Security Professional (CISSP) and a Global Industrial Cyber Security Professional (GICSP). Brian previously served as a senior advisor on cybersecurity and information risk management for the Department of Defense, US Army ITA, and Pentagon. He has 20 years of professional experience and expertise in network topologies, design, implementation, architecture, and cybersecurity. He has extensive knowledge of and has implemented risk management frameworks, methodologies, and processes. He has been responsible for creating compliant and secure networks for multiple sites through his extensive background in intrusion detection and full network end-to-end testing. He has outstanding communication skills, a positive demeanor, and the ability to interface with all levels of an organization. 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 |
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@JohnTLangton from @Wolters_Kluwer discussed his #AI Lead Startup Journey
2017-10-19 · 04:25
John T Langton
– Director of Applied Data Science
@ Wolters Kluwer
,
Vishal
– host
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 |
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