The First Singularity with an Introduction to Next Generation Data Management
Dr. Mark Brady Overview:
The AI Singularity or Second Singularity will impact us in the near future, but the First Singularity is upon us right now. Its impacts include billions in lost funding, decades of development behind schedule, and loss of vital capability in our data systems.
Three factors converge to cause the First Singularity: 1) Data science is still in an early stage. 2) Cultural behaviors centered around data hoarding and perceived job security. 3) A lack of engineering in software development.
Whereas these causes are daunting, solutions exist. Data science is ready to emerge out of its nascent state and into a next generation approach. Cultural change can take us from data hoarding to data sharing. And we can reintroduce engineering into software development.
Many organizations will remain stuck in the First Singularity. Those that escape from it will hold a decisive advantage over those who can’t.
Areas Covered in the Session:
- What's a singularity?
- There are two singularities
- First Singularity impacts
- Lost time: How to lose 11 years
- Lost funding: How to lose a billion dollars
- Lost capability and associated risks
- Causes
- Immature data science
- Outdated cultural practices
- Lack of engineering in software development
- Solutions
- Next Generation Data Science
- How data management impacts your mission success
- The Four Levels of knowing
- Is there such a thing as unstructured data? How it impacts AI applications.
- Start with the user not the data
- Metadata: the looking glass into your data systems
- Measuring employee performance by data sharing
- Your development contracts
- How AI and engineering can get software development back on track
- What is a data scientist?
- Data science vs data management
- How to ignite a literacy renaissance
Who Will Benefit:
- CIOs
- CTOs
- CDOs
- CDAOs
- Data Scientists
- Programmers
- Data Systems Engineers
Speaker Profile
Dr. Mark Brady is the former Chief Data Officer of the US Space Force, Chief Data Officer of the Air Force Space Command, Data Architect for the Department of Justice and Information Architect for the National Marine Fisheries Service (NMFS). In these roles, he established the first data management programs and data policies for all four organizations and also contributed to the development of policy for the National Atmospheric and Oceanic Administration (NOAA). He also helped established electronic trade standards as U.S. delegate to the United Nations, served on the White House Data Cabinet, and the National Oceanic and Atmospheric Administration’s Big Data Council. Prior to his federal service he conducted basic scientific research in neuroscience, taught neuroscience and statistics, and conducted industrial R&D. He is an inventor and author, with a number of AI patents from this work in industry.