#213 Solving the challenges of our times with massive graph analytics with Dr. David A Bader, Distinguished Professor at the New Jersey Institute of Technology

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

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Mack Dryden "Dentist Visit" Bonus Show #119 7:46

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Send us a text On this very funny short Bonus Show, standup comic Mack Dryden shares his story about going to the Dentist...you'll never believe what happens...Hilarious! Look for Mack Dryden's "NEW" Dry Bar Comedy Special... Please Listen, Enjoy, and Share where you can...Thanks!! Support the show Website: Standup Comedy Podcast Network.com www.StandupComedyPodcastNetwork.com Free APP on all Apple & Android phones....check it out, podcast, jokes, blogs, and More! "NEW" Video Podcast: Tag Team Talent Podcast on Spotify & YouTube See your favorite comics and other performers...Fun! Please Write a Review: in-depth walk-through for leaving a review. Interested in Standup Comedy? Check out my books on Amazon... "20 Questions Answered about Being a Standup Comic" "Be a Standup Comic...or just look like one"…

2 tahun yang lalu 34:16

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This week on the Data Futurology podcast, we have the special privilege to host Dr. David A. Bader, a Distinguished Professor at the New Jersey Institute of Technology, and the inaugural director of the Institute for Data Science there.

Bader joins us on the podcast to discuss massive graph analytics, a topic that he is a recognised expert in and has recently published a book on. He and his team are currently working on a project that will allow anyone, via the Jupyter Notebook and Python, to leverage their data science framework, running on “tens of terabytes” of data. “It is quite exciting to democratise data science – and especially graph analytics – so that anyone with a problem that knows Python can work with some of the largest data sets,” he said.

According to Bader, graphs are now a mainstream part of data science and a way to solve the most challenging and complex problems in the enterprise. “A graph abstracts relationships between objects, and any problem that we can abstract where we have relationships between objects, we could use graph analytics to solve,” he said.

Much of Bader’s work – including through his book – is focused on helping organisations grapple with the exponential growth in data, and the impact that this has on their ability to dedicate adequate resources to work at scale. As he said, being able to do that is going to be fundamental to humanity’s ability to respond to the many real challenges that it faces ahead.

“I want equitable access for everyone to be able to work on these problems, and to find new discoveries that are important, and help solve global grand challenges,” he said. “I think that we have many issues in the world today. And if we give more capabilities to those with data, and let them empower the data will make the world a much better place.”

For more deep insights on the importance and value of massive graph analytics, tune in to our conversation with Dr. David A. Bader.

Enjoy the show!

Thank you to our sponsor, Talent Insights Group!

Join us in Sydney for Ops World: https://www.datafuturology.com/opsworld

Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng

Read the full podcast episode summary here.

268 episode

#Data Science #Science #Felipe Flores #Tech

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

#213 Solving the challenges of our times with massive graph analytics with Dr. David A Bader, Distinguished Professor at the New Jersey Institute of Technology

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

349 subscribers

published 2 tahun yang lalu

MP3•Beranda episode

For more deep insights on the importance and value of massive graph analytics, tune in to our conversation with Dr. David A. Bader.

Enjoy the show!

Thank you to our sponsor, Talent Insights Group!

Join us in Sydney for Ops World: https://www.datafuturology.com/opsworld

Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng

Read the full podcast episode summary here.

268 episode

#Data Science #Science #Felipe Flores #Tech

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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

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2 years yang lalu39:52

39:52

This week we bring you a special episode of the Data Futurology podcast, featuring the keynote panel from our OpsWorld conference earlier this year featuring guests at different levels of data maturity. They shared their stories of the journey to enabling and unlocking the true value of data self-service.. The panel featured Kate Carruthers, Chief Data & Insights Officer, UNSW Sydney. She shared the university's experience, which has had a mature data environment for several years. At the other end of the table was Conor O'Neill, Head of Data Science, Compare The Market. He represented an organisation that is rapidly addressing a lack of data maturity across the organisation. The third person on the panel was Arvee Manaog, Head of Enterprise Systems, Data & Information Management, and Integration, EG Australia. She shared insights on how to effectively get organisation-wide buy-in, and then effectively educate all stakeholders on how to effectively use self-service. The panel was wide-ranging, starting off with a discussion around best practices in data self-service, before moving on to an in-depth summary of how to effectively approach self-service from each level of data maturity. There was also a robust Q & A session at the end of the panel. Through the robust audience questions, the panellists discussed strategies for ensuring data trustworthiness in self-service. They also discussed how ROI is best measured with self-service data practices. Businesses of all sizes that want to maximise data value should look at effective self-service approaches. This panel provides invaluable insights into both getting started and continuing to innovate once the data environment has been fully modernised and transformed. Enjoy the show! Thank you to our sponsor, Talent Insights Group ! Join us for our next events Advancing AI and Data Engineering Sydney (5-7 September): https://www.datafuturology.com/events Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng What we discussed: 2:07: Felipe introduces the three panelists. 3:19: Carruthers explains UNSW’s perspective around best practices in data self-service. 6:23: Manaog explains the challenges of secure self-service in EG Australia. 10:38: Manaog explains the initial steps EG Australia took to get started on the data self-service journey. 14:40: O’Neill describes some self-service approaches he's seen work well. 19:50: Carruthers describes how UNSW has kept engagement with DevOps-created dashboards and models high across the organisation. 22:50: The panel takes audience questions, with the first being “How do we influence and motivate data silo owners to share for indirect enterprise outcomes?” 27:07: How can a mature data organisation bring together data literacy and digital literacy across users? 28:11: For a less mature data organisation, how can data leads ensure data trustworthiness in self-service? 30:14: There are trade-offs involved in self-service models. How can those be managed in the pursuit of a self-service culture? 35:38: What are the most effective techniques for measuring ROI with self-service data practices? Key quotes: Manaog: “We’re using DataIQ. And it actually helps because it's easier for users. I got a good adoption rate for that because it’s possible to do drag and drop, there are recipes and users don't need to code. They can easily do their analysis, create their workflows and then come to the hub and say, can you productionise this?” O’Neill: “In one model, we're doing a hub and spoke approach, where we have champions placed within the business units. We are working with those champions to ensure that we understand how they're using the report. It’s not just what they want to see. But in practice, what are they doing with it?”…

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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science « »
#213 Solving the challenges of our times with massive graph analytics with Dr. David A Bader, Distinguished Professor at the New Jersey Institute of Technology