government Archives | Datafloq

Chief Data & Analytics Officer, Government 2023

Austin Spintman — Mon, 18 Sep 2023 22:00:00 +0000

Join us on September 19-20, 2023, at the Convene, in Washington D.C., for Chief Data & Analytics Officer, Government, 2023. Discover how advances in Data, Analytics, AI & Machine Learning tools, and techniques are transforming business intelligence from the world's leading innovators across the industry. Speakers will share insights into recent technical breakthroughs and cutting-edge applications in the Data and Analytics landscape.'

Learn about how Data and Analytics can facilitate the delivery of efficient and effective digital transformation, reduce costs and increase competitiveness via applications in risk management, regulatory compliance, data monitoring, and governance.'

This a unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the Data and Analytics revolution. Learn from & connect with industry innovators and regulators sharing best practices and advice to improve regulatory compliance, data strategy, and risk.'

This event is free to end-users while space is still available. To register, visit: https://bit.ly/3WJeyWR

#CDAOGov

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Webinar: Advancing AI adoption in the Federal Government

Megan Yarbrough — Tue, 27 Sep 2022 10:00:00 +0000

AI in Government is excited to host Raquel Morgan, Director, IT & Business Strategy and Bassel Haidar, AI/ML Practice Lead at Guidehouse presenting ‘Advancing AI adoption in the Federal Government' on Tuesday, September 27, 2022 from 12 PM – 1 PM ET!'

Artificial Intelligence is a useful tool that Federal agencies are using to increase efficiency and advance their missions. Over the last several years, we have seen the use of AI grow substantially both in the Federal and Commercial sectors. However, it has posed some challenges and raised concerns as Federal agencies adopt AI practices and tools. In this session, we will explore:'

How Federal agencies are using AI to advance their missions
The challenges and concerns surrounding the use of AI application
How Federal agencies can best prepare for AI adoption and the future of AI

Join this interactive session to learn about the challenges and opportunities associated with adopting AI in the federal government and stick around till the end for Q&A with Raquel and Bassel! Register for free on the Cognilytica website: https://www.cognilytica.com/CLNzAyOTl8MjY Agenda:

12:00-12:30pm: Featured Presentation
12:30-1:00pm: Your Q&A and interaction

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Webinar: The Difficulties & Limitations of Implementing AI at the CFTC

Megan Yarbrough — Wed, 24 Aug 2022 21:30:00 +0000

The August 2022 AI in Government event featured guest speaker is Dr. Tamara Roust, Chief Data Officer at the US Commodity Futures Trading Commission who will present ‘The Difficulties and Limitations of Implementing AI at the CFTC and Beyond' on Wednesday, August 24, 2022 from 11:30 AM – 1 PM ET!'

Most institutions necessarily institute artificial intelligence (AI) to solve individual use cases in their enterprise, a form of “first-generation AI“. A chess program, speech recognition, an algorithm to rapidly buy and sell financial products. These are straightforward applications of structured data problems. One of the chief difficulties is in getting understanding in the enterprise beyond these structured data cases, particularly in the domain of limited budgets. Once the “first generation AI” is implemented, successfully or not, the next step is more lateral movement – development of more standalone cases, rather than layering and refactoring to produce additional complexity, the neural nets and deep learning AI problem sets.'

Join this interactive session to learn some of the difficulties associated with implementing AI as well as the difficulties moving from “first generation” to “second generation” AI in order to achieve business process improvement by modifying data architecture to reflect how data is actually used. Be sure to stick around for Q&A with Dr. Roust! Register and attend for free on the Cognilytica event website: https://www.cognilytica.com/CLNjc0ODR8MjY

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Webinar: How AI is Making Self-Service a Reality in the Public Sector

Megan Yarbrough — Tue, 30 Aug 2022 10:00:00 +0000

AI in Government is excited to host Rushali Patil, Engagement Manager at Quantiphi and her presentation ‘How AI is Making Self-Service a Reality in the Public Sector' on Tuesday, August 30, 2022 at 12PM ET!'

Many service-oriented government agencies have faced increasing pressure in recent years to keep up with many demands from an ever-changing environment. To meet these unprecedented inquiries, update guidelines frequently and accurately, and boost resiliency for the future, state and local governments need an innovative way to modernize how they handle the inquiries and respond to citizens. Forward thinking agencies are turning to the help of AI to be able to quickly and accurately meet the needs of their citizens.'

In this presentation, Quantiphi will share how they helped Illinois overcome the sudden challenges created from a global pandemic, how they built three Rapid Response Virtual Agents on chat and telephony and how these virtual agents were trained and equipped to answer citizen queries, FAQs, and update guidelines efficiently. Be sure to stick around till the end for Q&A with Rushali! Register and attend for free on the Cognilytica website:https://www.cognilytica.com/CLNzAwNzd8MTg

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Webinar: Leveraging hackathons to force risk assessments of operational data

Megan Yarbrough — Thu, 21 Jul 2022 21:30:00 +0000

The July 2022 AI in Government event featured guest speaker is Stuart Wagner, Chief Digital Transformation Officer at the US Air Force and US Space Force and his presentation ‘DevSecOps forgot about the data – Leveraging hackathons to force risk assessments of classified operational data' on Thursday, July 21, 2022 from 11:30 AM – 1 PM ET!'

To demonstrate what happens when USAF unshackles the data and creatively removes security barriers to build emergent capabilities, USAF organized its first department-wide, SECRET classification innovation hackathon at the Nellis Air Force providing weapons system data and allowing participants unprecedented development freedom over six days of 24-hour operations. Eleven teams demonstrated that the US Air Force is capable of developing weapons capabilities in under 1 week. In just three months, over half of the developed projects have been picked up for further development or use by Air Force organizations.'

One project is already operational on a weapons system in the European theatre, while it's believed as many as four more will be fielded by Air Force sponsors in the next year. In this session, Stuart Wagner, the Department of the Air Force's Chief Digital Transformation Officer, will discuss the original vision and execution for the hackathon series, and how he's building a coalition to revolutionize modern warfare. If the DoD can develop telemetry OODA loops into all its technology and software projects, warfighters and engineers will rapidly iterate capability and tactics against known and newly discovered adversary capability providing significant agility and competitive advantage.

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How the US Space Force is Delivering the First Fully Digital Service

Megan Yarbrough — Wed, 18 May 2022 10:30:00 +0000

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April 2022 AI in Government State CDO Panel

Megan Yarbrough — Thu, 21 Apr 2022 21:30:00 +0000

The April 2022 AI in Government is presenting State CDO Panel on Thursday, April 21, 2022 from 11:30 AM – 1 PM ET!'

Moderator: rong>Bassel Haidar, AI/ML Practice Lead at Guidehouse Panelists:

- Patrick McLoughlin, CDO, State of Maryland
- Ravi Krishna, CDO, State of North Dakota

Marcus Thornton, Interim CDO, Commonwealth of =”urn:enhancement-16488d2b-eecb-45d7-a11d-00472eb35fea” class=”textannotation disambiguated wl-place” itemid=”https://dbpedia.org/resource/Virginia”>Virginia With the massive increase in public sector AI adoption over the last few years its no surprise to state and ass=”ht” href=”https://datafloq.com/read/local-seo-methodologies-to-drive-organic-traffic/” data-mce-href=”https://datafloq.com/read/local-seo-methodologies-to-drive-organic-traffic/”>local governments are seeing benefits from these technologies. In this interactive panel of state CDOs they will href=”https://datafloq.com/read/toshiba-shareholders-vote-probe-landmark-win-japan-corporate-governance/” data-mce-href=”https://datafloq.com/read/toshiba-shareholders-vote-probe-landmark-win-japan-corporate-governance/”>share how states are approaching technologies such as AI, machine learning, automation (including RPA), and =”ht” href=”https://datafloq.com/read/predictive-analytics-interview-richard-boire/” data-mce-href=”https://datafloq.com/read/predictive-analytics-interview-richard-boire/”>predictive analytics. Panelists will href=”https://datafloq.com/read/cloudera-ceo-mike-olson-discusses-the-big-changes/” data-mce-href=”https://datafloq.com/read/cloudera-ceo-mike-olson-discusses-the-big-changes/”>discuss how these technologies are playing an increasing role in state and local governments, share use cases, challenges and lessons learned as well as how theyd like to see ancement-0c9f37f6-86e5-4645-b204-4486232eb293″ class=”textannotation disambiguated wl-thing” itemid=”https://data.wordlift.io/wl114164/entity/ai”>AI adopted in the future. Join us for this engaging panel and your opportunity to ask questions directly to the panelists. Be sure to stick around for Q&A at the end! Register and attend for free on the Cognilytica event website: https://events.cognilytica.com/CLNTg3MXwxOA Agenda: 11:30-12:30pm: Panel Discussion 12:30-1:00pm: Your Q&A and interaction

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Advancing AI/ML in Federal Procurement Panel – AI in Government

Megan Yarbrough — Tue, 22 Mar 2022 11:00:00 +0000

AI in Government is hosting the panel ‘Advancing AI/ML in Federal Procurement‘ with moderator Kathleen Walch, Managing Partner and Principal Analyst at Cognilytica and panelists Alexander Canizares, Partner at Perkins Coie, Sameul Jo, Partner at Perkins Coie and Bassel Haidar, AI/ML Practice Lead at Guidehouse on Tuesday, March 22, 2022 from 12 PM – 1 PM ET!”
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The federal government‘s increased interest in acquiring artificial intelligence (AI) and machine learning (ML) capabilities presents a range of legal and business considerations for government contractors. In this round table discussion, panelists will discuss emerging trends and issues involving AI/ML and federal acquisition, including key agency initiatives involving AI/ML solutions, risk allocation and product development strategies and policies involving AI, and emerging compliance issues and risks in areas such as ethics, Responsible AI, as well as transparency.”
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Be sure to stick around for Q&A at the end! Register and attend for free on the Cognilytica event website:'https://events.cognilytica.com/CLNjMyNXwyNg”
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Agenda:

12:00pm- 12:30: Panel Discussion
12:30-1:00pm: Your Q&A and interaction

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How the US Navy Built its AI Practice Through Entrepreneurial Endeavor – AI in Government

Megan Yarbrough — Fri, 18 Mar 2022 22:30:00 +0000

The March 2022 AI in Government featured presentation speaker is Robert Keisler, Director, Data Science & Analytics, Naval Information Warfare Center Atlantic, US Navy presenting How the US Navy Built its AI Practice Through Entrepreneurial Endeavors' on Friday, March 18, 2022 from 11:30 AM – 1 PM ET!”
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The Naval Information Warfare Center Atlantic at the U.S. Navy built a data science and AI practice in the US Navy grew from just 2 people to over 200 people over the past 11 years by harnessing an entrepreneurial spirit and a lot of experimentation. Join this AI in Government session to hear their story — told through discrete use cases. They will share some of their best practices and biggest roadblocks faced along the way. Join us to learn how the Naval Information Warfare Center Atlantic at the U.S. Navy uses AI, lessons learned and how they are looking to use AI in the future.”
”
Be sure to stick around for Q&A at the end! Register and attend for free on the Cognilytica event website:'
https://events.cognilytica.com/CLNTg2N3wyNg”
”
Agenda:”
”
11:30-12:30pm: Featured Presentation”
”
12:30-1:00pm: Your Q&A and interaction

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Understanding Global AI Policy Regulations

Daniel Cantorna — Thu, 30 Sep 2021 11:00:33 +0000

How do the Chinese and American AI policies compare

In recent years the Intelligent Automation industry has boomed. Computing power has finally reached the required processing capacity to enable various AI applications and innovators in the field have truly been developing some exciting use cases for the technology. However, with this innovative progress we have seen the development of AI products that can be (and in some cases have been) utilised in a way that can cause harm to people and industries. This sparked an interesting discourse that started in earnest in the mid-20-teens around the ethics of AI development and more specifically the management and deployment of AI programmes and technologies. Globally there are several examples of how AI's thinking has been warped by human bias, resulting in very real-world consequences.

While the technology is developing at break-neck speed it becomes very difficult for governments to develop a regulation policy for AI development and use, fast enough. However, regions like Europe and countries like the USA and China have been hard at work trying to develop AI legislation and policy that will help protect their citizens and provide frameworks within which AI companies are allowed to operate in. In this article, I'll briefly take a look at the key AI objectives for the Chinese and USA governments, respectively.

AI regulation in China

In 2017, China's State Council released its plan for the Development of New Generation Artificial Intelligence (Guo Fa [2017] No. 35). The plan was developed in an effort to become leaders in global AI development. From this, the plan has 3 objectives: to create a new international competitive advantage, to stimulate the development of new industries, and to enhance national security.

Key policy objectives

China's Development of New Generation Artificial Intelligence (Guo Fa [2017] No. 35) plan outlines 6 key steps to achieve its goals:

The establishment of an open and cooperative AI technology innovation system
Cultivation of a high-end and highly-efficient intelligent economy
Building of a safe and convenient intelligent society
Strengthening of civil-military integration in the field of AI
Establishing a ubiquitous, safe, and efficient intelligent infrastructure system
The future-focused layout of a new generation of AI-related major projects

AI regulation in the USA

Introduction

The U.S.A.'s National Artificial Intelligence Initiative (NAII) was born out of the National AI Initiative Act of 2020 (DIVISION E, SEC. 5001) which became law in the United States on January 1, 2021. The aim of the NAII is to develop a coordinated program across the U.S. Federal government to drive leadership in AI research and development, education, and use of trustworthy AI in public and private sectors. Principally the focus for their plan and their main approach is laid out as follows:

Key policy objectives

The NAII plans to establish cooperation between all U.S. Departments and Agencies, together with academia, industry, non-profits, and civil society organisations to achieve its goals via 6 key strategic pillars:

Innovation – first a foremost the US is looking to really leverage the innovative solutions that come from AI development and the policy is set to reward all R&D efforts that can drive the country's AI agenda forward.
Advancing trustworthy AI – This includes the development of AI technical standards, and governance approaches for the use of AI in the public and private sectors.
Education and training – The jobs individuals do today versus what that'll look like in 10 years has made educating and training people on AI an imperative.
Infrastructure – In the hope of growing the American AI R&D community the US plans to share computing and data infrastructure designed to provide AI researchers access to computation resource
Applications – Facilitating the continuous R&D and application of AI in all government sectors.
International cooperation – Promoting global collaboration on AI development in an effort to avoid subterfuge or competition.

The 2020s are going to be an interesting time for ethical AI policy development and it remains to be seen how well both governments and businesses will adapt to the needs of governing industry and technology that is evolving at such a pace it is difficult to keep up.

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