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!
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Read the full podcast episode summary here.
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#208 How Ethical AI is more than an obligation; It is an opportunity with Natalie Rouse, General Manager of Eliiza and Brendan Nicholls, Practice Lead, Machine Learning Engineering
#207 From health to existential crisis: How data can be the solution With Yalchin Oytam, Head of Clinical Insights and Analytics at South Eastern Sydney Local Health District (SESLHD)
#206 The New Horizons For Data And Healthcare Are Exciting For Patients, with Precision Driven Health’s CEO, Kevin Ross
#205 On Leveraging AI To Grapple with Humanity’s Biggest Questions with NVIDIA’S VP of Solutions Architecture and Engineering, Marc Hamilton
#204 Data Is The Foundation That Makes Digital Transformation Sing With Harjot Singh, former CDO of RAC
#203 Diversity Is The $60 Billion Opportunity Australian Businesses Can’t Ignore With Azadeh Khojandi, Co-Founder & Director and Katrin Schmidt, Co-Founder & Managing Director, GEEQ Sydney
#202 Building A Unified and Uniform Approach To Data And Data Teams With Nathan Steiner, Director of Field Engineering, ANZ, at Databricks
#201 Graph Databases, Deep Analytics, And Change Management: The New Data Frontiers With Peter Kokinakos, COO of MIP
#200 The Constant Evolution And Future Opportunity Of Data – with Gina Papush, former Global Chief Data & Analytics Officer at Cigna
#199 Leaders Exchange: Productionalising ML across the Enterprise: What it Takes to Get this Right!
#198 Building Sophistication Into ML Ops Starts With The Strategic Vision, with Mia O’Dell, the GM of Data Science at Sportsbet
#197 The Evolving Role Of Human Expertise In Data-Driven Fields, with Melanie Johnston-Hollitt, the Director of the Curtin Institution For Computation
#196 There is more to data science than just the data! with Edward Chenard, the Senior Director of Data Science and Analytics at Shipwell
#195 The best practices for building and retaining excellent data teams, revealed. With Talent Insights Group Director, Ben Le Gassick, and Associate Director, Patrick Choy
#194 Establishing Best-in-Class Multi-Cloud Strategy with Kieran Clulow, Director of Data Platforms at IAG and Stijn De Lathouwers, Head of Data Platforms and Engineering at Suncorp
#193 Helping businesses leverage the opportunity for AI adoption with Stela Solar, Director of the CSIRO’s National Artificial Intelligence Centre
#192 How diversity is more than an agenda and can build a better business with Michelle-Joy Low, Ph.D, the Head of Data & AI at Reece Group
#191 Part 2: Product design and development with Sarah Dods, formerly Head of Advanced Analytics at AGL
#190 Part 1: The value of data science, and bringing new innovation to market, with Sarah Dods, formerly Head of Advanced Analytics at AGL
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