Could it be that we are living in revolutionary times? We are on the crest of a wave coming for the last 40 or 50 years… data and analytics have the potential to make a massive impact in all industries.
One of the reasons why The Analytics Show works so well is because it has some of the biggest experts in data and analytics as guests. By sharing their knowledge and expertise, they help our views learn more and advance their careers much faster.
This is why it’s my great pleasure to present our newest guest on the show, Prashant Natarajan, and I hope you enjoy this episode.
Prashant is a technology and product executive with expertise in data, analytics and machine including financial services, healthcare, government, and manufacturing.
He has worked in many important roles, such as business and technology leadership at Deloitte, learning applications. In addition to this, Prashanat has demonstrated his professional abilities across multiple verticals at H2O.ai, Oracle and Siemens in the USA, Australia, Europe and Asia Pacific.
What is also amazing is that Prashant is a lead author or contributor to 5 books on software development, AI, ML, big data, and business intelligence. He is a Co-Faculty Instructor at Stanford University, guest lecturer at Monash University, and an Advisor at Louisiana Tech University. But the list goes on, doesn’t stop there: he is an industry advisor at Pistoia Alliance, University of California at San Francisco, and the Council for Affordable Health Coverage in Washington DC.
When someone like this drops us a visit and accepts to be a guest on the show, it proves we are doing the right thing promoting leaders in the field of data and analytics. If you’d like to learn much more about technology, life and approach to business, I strongly suggest you have a listen and see for yourself why Prashant is one of the top experts in the industry.
Why is empathy so important in working with colleagues? And why is it very important that you have a supportive partner by your side?
Prashat will also talk about being a good leader, and the attributes a good leader needs to have; why and how he decided to come to Australia; how he finds time to write his books – even against his super-busy work schedule; how he sees product management and development in the months and years to come, and much, much more…
Connect with Prashant on LinkedIn: https://www.linkedin.com/in/natarpr/
To learn more about Prashant:
- Demystifying Big Data and Machine Learning for Healthcare, by Prashant Natarajan, John C. Frenzel, Detlev H. Smaltz
- Implementing Business Intelligence in Your Healthcare Organization, by Cynthia McKinney, MBA, FHIMSS, PMP, Ray Hess, RRT
- Chapter 11: Communicating through Robust Reporting
- Prashant Natarajan on Google Scholar
- What exactly is Precision Medicine? Prashant Natarajan https://open.spotify.com/show/2EuZcjSyN3bQzH4QjIDR54
- Healthcare IT Today – https://www.healthcareittoday.com/tag/prashant-natarajan/
Dr. Alex Antic is a trusted and experienced Data Science leader, with a proven record of delivering innovative, successful and sustainable projects in government, industry and startups (including Sports Analytics), that leverage data and Machine Learning/Deep Learning capabilities to deliver actionable insights.
Dr. Antic is currently serving as an Academic at ANU, whilst also being a Principal Data Scientist for Federal Agency. Before his current role at ANU, Alex was a quantitative analyst at hedge fund and investment bank. He has also worked with the actuarial teams in the marketing analytics. Because of this unique career path with the commercial experience, he understands the business needs well as well as able to be pragmatics with the commercial perspective whilst working at different environment. Dr. Antic is currently also helping ANU to set up an institute of analytics to help bridge the gap between the PhD students and commercial / government sectors.
In this interview, we discussed how an organisation can build up its data science capabilities and what to look for when interviewing candidates. Due to his unique work history, I asked him about his view on data scientist vs quantitative analyst vs actuary. Finally, Dr. Antic also shared with us about this research focuses on the subjects like confidential computing and natural language processing.
LinkedIn Profile URL: linkedin.com/in/alexantic
Alex’s blogs that you should read
- 10 hidden challenges of working as a Data Scientist, and how to overcome them to advance your career
- 7 questions you need to ask before taking on a Data Science role
Eric Axelrod is the President and Chief Architect for DIGR. DIGR is a BI and analytics consulting company based in the USA, and they help organizations become more agile with end-to-end Business Intelligence solutions. Examples of some of the services DIGR offers are Cloud Data Platform Migrations, Data Architecture, Data Warehousing, Database Design, Data Integration, and Business Intelligence tool deployment.
He is also the founder of for Cloud Data Summit (CDS). CDS Is the premier web-based summit for cloud data technology. Through CDS, you can learn from companies which have migrated data platforms from on-premise to the cloud. You can then see how these companies redesigned to take advantage of endless storage and compute power of the Cloud Computing.
CDS has some extremely talented speakers lineup. Few notable speakers are as follows:
- Jay Natarajan from US AI Lead and Lead Architect at Microsoft will talk about the world of AI and how getting your data strategy right would help you to transform your organization and unlock new use cases for AI and ML.
- Dan Linstedt, the inventor of Data Vault, teaches about how to use the infinite capacity of cloud DW platforms make true agile data architecture possible and many more.
- Scott Clendaniel from Harvard and Legg Mason explains how to tune AI models in the cloud.
- Kurt Cagle from Cognitive World (and Forbes Contributor) is covering how cloud transforms Enterprise Data Management.
More information about Cloud Data Summit
Conference Date: 16-17 Oct 2019
Regular Registration: https://www.clouddatasummit.com/registration
Coupon Code: 1MXTASSDC
Special offers to students. Student Registration: https://www.clouddatasummit.com/student-registration/
FAQ about Cloud Data Summit: https://www.7wdata.be/event/cloud-data-summit-october-2019/
Apart from his day to day jobs, Eric also plays the role of advisor on the following companies:
- 10X Factory
- Advisory Cloud
- Alpha Insights
LinkedIn Profile: https://www.linkedin.com/in/ericaxelrod/
Where you can also find Eric:
Places where Eric reads and listens to gain more and new knowledge:
Andrew Swindell is a TOGAF qualified Enterprise Information Architect and with over 20 years’ experience in the field of information technology and enterprise architecture.
On top of the years of consulting experience in enterprise architecture and data analytics, he is also a speaker and an author. Andrew has domain expertise in asset management using technology across different asset intensive environments. He has previously delivered consulting services and projects in a number of companies including NSW Transport and BHP Billiton.
Currently, he is helping Origin Energy to move into a modern data architecture and upgrade its gas business portfolio with modern technological capabilities.
Andrew does this through applying architecture disciplines, engaging stakeholders at all levels including Boards and Executive Teams and driving a strong focus on collaboration and business outcomes.
Today, Andrew will share with us how data, analytics and enterprise architecture are applied in the gas and energy industry.
Andrew explores the role of Information Architecture, the opportunities it presents and the value generated from focusing on your data assets.
Favorite book: Good to Great: Why Some Companies Make the Leap and Others Don’t, by Jim Collins.
LinkedIn Profile: https://www.linkedin.com/in/andrewswindell/
Published papers & past presentation:
Want to become a certified enterprise architect like Andrew? You can find out more about TOGAF Certification: http://www.togaf.info/togaf9/index.html
Dr Warwick Graco is a senior director in data science at Australian Taxation Office (ATO). He previously worked for what is now called ‘Medicare Australia’ and was manager of a team that built machine-learning and multivariate statistical models to help identify fraud and abuse within Medicare and Pharmaceutical Benefit schemes. During his career, he has also worked in Australian Defence Force as an army officer and served in a variety postings including time spent assisting with development and delivery of command support systems . Over the years, he has published a number of papers and other publications involving topics such as defence, strategy and analytics.
Dr Graco has been a practicing data scientist for 26 years. He was previously the convener of the whole Government Data Analytics Centre of Excellence, was a founding member of the Institute of Analytics Professionals-Australia and was a member of the 1st analytics team to be established at a Federal level in the early 1990s.
His current interests include knowledge acquisition, partitioning of populations and digital profiling. He is also interested in management decision making and the different styles of managers.
In this episode, Warwick shared how data science is applied in government to help with meeting business outcomes. This includes, but not limited to, some of the special task forces setup at the ATO to combat the black economy and serious non-compliance. We also exchanged views on the future of a cashless economy and how it has the potential to increase revenue collection. In addition to the above, he also discussed the use of statistical techniques to identify different classes in the community such as different types of medical practitioners. One point he emphasized is how important it is for organizations, especially governments, to ‘dig the eyes’ out of data in order to improve decision making, to develop effective policies and programs and to deliver services to the community.
Current Favorite book: The Second Machine Age Work, Progress, and Prosperity in a Time of Brilliant Technologies, by Erik Brynjolfsson and Andrew McAfee.
LinkedIn Profile: https://www.linkedin.com/in/warwick-graco-4a27044/
- An Application of Time-Changing Feature Selection
YouTube Video: Data Mining in Public Sector
A former CIO and CTO, Damian Morris has 25 years’ experience negotiating, developing and delivering mission-critical technology systems into the road infrastructure, finance, software and gaming & wagering industries. Damian’s career spans commercial, project & program delivery and governance, information technology implementation, people & management, corporate and strategy roles.
Damian now runs MOSO Consulting, where he works with his clients’ legal and commercial teams to negotiate design and construct and operate & maintain contract suites for the design, delivery, integration and commissioning of complex systems into large infrastructure projects, and their project delivery teams to help manage and govern their project programs.
A software engineer by trade (and an accountant for his sins), Damian is also the developer of MOSO Xmplify, a leading XML editor software application for Apple macOS.
In this episode, Damian and I discuss the challenges of delivering system engineering and system integration projects into large infrastructure programs, and talk about the role and future of Intelligent Transport Systems (ITS) and Connected and Automated Vehicles (CAV) in Australia and around the world. Both of these are enabled by numerous technologies that are undergoing rapid development, and are built on a backbone of pervasive, commodity sensors, communications and data processing infrastructure.
Favorite book is The Lord of the Rings.
LinkedIn Profile: https://www.linkedin.com/in/damian-morris/
Twitter Profile: https://twitter.com/drdm
Welcome to the podcast of Data and Analytics in Business. We will learn from the leading industry experts using data and analytics to solve the problems and create values in practice.
We will also learn where their industry is heading to and how data & analytics will shape the industry in the future. Most importantly, how they are preparing their business for digital transformation and disruptions in the future.