How State Governments Can Protect and Win with Big Data, AI and Privacy
Bill Schmarzo
Dean of Big Data, CDO Chief AI Officer Whisperer, recognized global innovator, educator, and practitioner in Big Data, Data Science, & Design Thinking
I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of “Big Data, Artificial Intelligence and Privacy.” Honored by the privilege of offering my perspective on these critical topics, I shared with my home-state legislators how significant opportunities await the state. I reviewed the once-in-a-generation opportunities awaiting the great State of California (“the State”), where decision makers could vastly improve their constituents’ quality of life, while creating new sources of value and economic growth.
Industrial Revolution Learnings
We have historical experiences and references to revisit in discerning what the government can do to nurture our “Analytics Revolution.” Notably, the Industrial Revolution, holds many lessons regarding the consequences of late and/or confusing government involvement and guidance (see Figure 1).
Figure 1: Lessons from the Industrial Revolution
Government’s role in the “Analytics Revolution” is clear: to carefully nurture and support industry, university, and government collaboration to encourage sustainable growth and prepare for massive changes and opportunities. The government can’t afford to stand by and let the markets decide. By the time the markets have decided, it may be too late to redirect and guide resources, especially given the interests of Russia and China in this all-important science.
Be Prepared to Action on the Nefarious
Access to sensitive information, data protection, privacy – these are all hot button issues with the citizenry. The State must be aware of the society and cultural risks associated with the idea of a “Big Brother” shadowing its people. The State must champion legislation in cooperation with industry in order to protect the masses, while not stifling creativity and innovation. That’s a tough job, but the natural conflict between “nurturing while protecting” is why the government needs to be involved early. Through early engagement, the State can then reduce concern between industrial growth and personal privacy.
The “Analytics Revolution” holds tremendous promise for the future of industry and personal achieve, but will require well-defined rules of conduct and engagement. Unsupervised growth or use may lead to information being exploited in nefarious ways with potentially damaging results.
The State must protect its constituents’ sensitive information while nurturing the industrial opportunity. That’s a tall order, but nothing less should be expected from our government, industry and society leaders.
Can’t Operate in a World of Fear
We can’t be afraid of what we don’t know. The State must increase constituents’ awareness and education of Big Data and Artificial Intelligence; what they are, what they are used for and the opportunities locked within including “The Good, the Bad, and the Ugly.”
We can’t operate in a world of fear; jump to conclusions based upon little or no information, or worse yet, misinformation or purposeful lies. Government leaders must collaborate with industry and universities to actively gain understanding of the true ramifications and capabilities of Big Data and Artificial Intelligence, before they create legislation (see Figure 2).
Figure 2: Government Leaders Must Seek Information before Jumping to Conclusions
It’s because I’m an educator in this field that I was so honored to be part of this discussion. In addition to discussing the economic opportunities that lie within Big Data and Artificial Intelligence, I wanted to help our legislators understand they should prioritize their own learning and education of these sciences before enacting rules and regulations.
Predict to Prevent
The opportunities for good are almost overwhelming at the government level! Whether in education, public services, traffic, fraud, crime, wild fires, public safety or population health, Big Data and Artificial Intelligence can dramatically improve outcomes while reducing costs and risks (see Figure 3).
Figure 3: Big Data and AI Reducing Crop Loss to Diseases
However, to take advantage of the potential of Big Data and Artificial Intelligence, The State, its agencies, and its legislators need to undergo a mind shift. They need to evolve beyond “using data and analytics to monitor agency outcomes” to understanding how to “leverage data and analytics to Predict, to Prescribe and to Prevent!” That is, these organizations need to evolve from a mindset of reporting what happened to a mindset of predicting what’s likely to happen and prescribing corrective or preventative actions or behaviors (see Figure 4).
Figure 4: The “Predict to Prescribe to Prevent” Value Chain
There are numerous use cases of this “predict to prevent” value chain that will not only benefit state agencies’ operations, but also have positive and quality of life ramifications to the residents of California including the opportunity to prevent:
- Hospital acquired infections
- Crime
- Traffic Jams / vehicle accidents
- Major road maintenance
- Cyber attacks
- Wild fires
- Equipment maintenance and failures
- Electricity and utility outages
- And more…
Role of Government
The role of government is to nurture, not necessarily to create, especially in California. California is blessed with a bounty of human capital resources including an outstanding higher education system and an active culture of corporate investing such as the Google $1B AI Fund (see “Google Commits $1 Billion In Grants To Train U.S. Workers For High-Tech Jobs”).
There is a bounty of free and low-cost Big Data and Artificial Intelligence training available. For example, Andrew Ng, one of the world’s best-known artificial-intelligence experts, is launching an online effort to create millions more AI experts across a range of industries. Ng, an early pioneer in online learning, hopes his new deep-learning course on Coursera will train people to use the most powerful idea to have emerged in AI in recent years.
California sits in rarified air when it comes to the volume of natural talent in the Big Data and Artificial Intelligence spaces. The State should seize on these assets, coordinate all of these valuable resources and ensure that this quality and depth of training is available to all.
State of California Summary
In summarizing what I told my audience, Big Data and Artificial Intelligence provide new challenges, but the opportunities for both private and public sectors are many. To harness the power of Big Data and AI, the State should focus on:
- Minimizing impact of nefarious, illegal and dangerous activities
- Balancing Consumer value vs. Consumer exploitation
- Addressing inequities in data monetization opportunities
- Re-tooling / Re-skilling the California workforce
- Fueling innovation via university-government-business collaboration
- Adopt regulations for ensuring citizen/customer fairness (share of the wealth)
- Providing incentives to accelerate state-wide transformation and adoption
Figure 5: Threats to the California “Way of Life”
It is up to everyone — the universities, companies, and individuals — to step up and provide guidance to our government and education leaders to keep California at the forefront of our “Analytics Revolution.” This is one race where there is no silver medal for finishing second.
RELATED POSTS:
- The Consumerization of Artificial Intelligence
- How the Eagles and Patriots Can Avoid a Championship Let Down: Play the Percentages
- Bill Schmarzo’s Top 2017 Big Data, Data Science and IOT Blogs
- Decoding Customer DNA with Data Science
Owner at Iris Clark Nonprofit Organisational Consulting
5 年Thank you! Interesting article.
Sr. Manager, Client Solution Architects at Hewlett Packard Enterprise - West Enterprise and Commercial
7 年Bill, thank you for sharing.
Open EDA and Semiconductors | The OpenROAD Project I VLSI Education and Workforce Development
7 年Bill, I recently completed the Andrew Ng deep learning courses in an attempt to demystify this domain and explore it's humane applications. I agree with you that there needs to be regulatory bodies and government engagement in the effort of training and transition the citizenry to this new era of business and way of life which is incumbent. The topic of ethics is missing in the narrative of data access, privacy rights etc-- this seems to be a foregone conclusion as companies March ahead in rapid adoption of AI and deep learning. What are your thoughts on this as an educator?