The BootstrapLabs Applied Artificial Intelligence Conference 2019 #AAI19 brought together the brightest and most experienced experts in the field of AI for an immersive day of learning, discussion, and connection.

On our BootstrapWorks we have released the videos from this past conference to relive the moments and spread the knowledge around the diverse topics covered by our experts on stage. 

BootstrapLabs has built a community of more than 40,000 people from over 60 countries who care about applying Artificial Intelligence to solve the hardest problems of our society.

Get access to practical wisdom on Applied AI methodologies and take advantage of AI’s powerful potential, sign up here to receive the videos directly into your inbox. 

Together, the lack of attribution models, an integrated identity, and the complexity of establishing global privacy and ethical standards within the core building blocks of the Internet pose a critical threat to the very fabric of our modern society. Moderator Daniel Riedel, Founder and CEO of New Context, and panelists Erin Kenneally of the U.S. Department of Homeland Security, Herb Kelsey of Quantum Vault, Jason Hoffman of MobileEdgeX, and Jonathan Ward of Atlas Organization discuss how AI has contributed to the exacerbation of state actors, terrorist organizations, and criminals’ political and ideologically motivated use of the internet for financial gain. The panelists also explore how AI presents an opportunity to alleviate that threat by strengthening our existing digital infrastructures and creating stronger platforms for the future stability, economic prosperity, and security of our society, companies, and citizens.

Moderator: Daniel Riedel, Founder & CEO, New Context

Panelists: Erin Kenneally, Portfolio Manager, Cyber Security Division, Science & Technology, U.S. Department of Homeland Security; Herb Kelsey, Founder & CEO, Quantum Vault Inc.; Jonathan Ward, Founder & CEO, Atlas Organization; Jason Hoffman, President & CEO of MobiledgeX.

Some of the key takeaways from the session are:

• Currently, we do not have a collective mental model for AI and risk. AI is forcing a conflation of rights as well as individual, company and state interests like privacy, free expression, security, critical infrastructures etc.
• AI is a tool and a strategy focused on optimization and care. It is very difficult to optimize something and thus important to have a strategy around how to optimize something and to understand all implications of that process.
• AI is used in scoring and recommender systems, news feeds and search results and for classification prediction (crime, health etc.) which bears certain risks.
• In a time of continuous accelerated change, it is important to go back to fundamental truths: The ability to generate unique insights via proprietary access to data is always advantageous.
• If the delta between our growing AI capabilities and our expectations (laws: privacy, data protection, human rights etc.) continues to grow, we have:
  • Inefficient avoidance of risk.
  • Increasing tensions between legitimate stakeholders.
  • Undermining of trust in our ordering forces (law, markets etc.).
• AI will break the internet, if:
  • It is in the hands of an attacker, allowing higher efficiencies in creating synthetic identities to simulate transactions, because this eliminates trust.
  • Automated social network behavior to influence politics as well as automated trolling or racist comments become the norm.
  • We fail to align our expectations with our capabilities.
• AI will save the internet, if:
  • We use it successfully to protect, care for and optimize membership in open and insecure networks like the internet.
• The pressure of the rise of China and its relationship with Russia on the liberal democratic world order will change everything on a geopolitical scale. We are going through two historical changes: Industry 4.0 and the rise of major-nation states with heated competition between two major world powers for the first time since the cold war. China as a leading investor in AI has a national AI strategy that aims to be the undisputed world leader by 2030 which shows the nature of this arms race. The alignment of state and company goals in China will lead to continued global confrontation of multinational companies with emerging champions from an authoritarian system.

About Daniel Riedel:
Daniel Riedel, the CEO of New Context, is an innovator in data security for highly regulated industries. He is a trusted authority in data security for the industrial internet, speaking before the US Senate Committee on Energy & Natural Resources, OASIS‘s Borderless Cyber and Johns Hopkins IACD, and has been published in the Washington Post, Federal Times, Wired and Dark Reading. Riedel has over 20 years of expertise building secure and scalable technologies, products and companies.

About Erin Kenneally:
Erin Kenneally is Program Manager in the Cyber Security Division of the U.S. Dept of Homeland Security, Science & Technology Directorate. Her portfolio comprises cybersecurity research infrastructure, privacy, security economics, and technology ethics. She manages the IMPACT, CYRIE, and Data Privacy programs. Erin is Founder and CEO of Elchemy, Inc., and served as Technology-Law Specialist at the International Computer Science Institute, Center for Internet Data Analysis and Center for Evidence-based Security Research at the University of California, San Diego. Erin is a licensed Attorney specializing in information technology law, including privacy technology, data protection, AI ethics and legal risk, trusted information sharing, and technology policy.

About Herb Kelsey:
Herb Kelsey’s time as Chief Architect for NSA/CSS LSI and at IBM as Federal CTO for cybersecurity heavily influenced his 25-year career. At NSA, he learned to engineer for global scale and secure systems against ruthless villains. IBM taught him product management and enterprise integration. He’s deployed these skills for corporations, our country, and our allies. Most notably, as the head of computation for U.S. National Counter-Terrorism Center (NCTC), the highest volume, most secure, yet heavily attacked analytic fusion center in the world. His passion is making the global, networked, world safe for transactions, private information, intellectual property and children.

About Jonathan Ward:
Dr. Jonathan Ward is the Founder of Atlas Organization, a DC and NY based consultancy focused on the rise of India and China, and US-China global competition. He is the author of China’s Vision of Victory, about Chinese global strategy and what America must do to respond. From travels in Tibet and across the South China Sea, to accessing restricted Communist Party archives, to consulting for the U.S. Department of Defense and Fortune 500 companies, Dr. Ward has brought the experience of a traveler and scholar, and the insight of a strategy consultant to one challenge: what does China want, how will it try to get it, and what should America do?

About Jason Hoffman:
Jason Hoffman is the President and CEO of MobiledgeX, a company focusing on edge computing and founded by Deutsche Telekom. Previously he was a CTO at Ericsson AB and was P&L responsible for their cloud and datacenter infrastructure business. While at Ericsson his group created the world’s first hyperscale, disaggregated system and led the market in the modernization of telecom infrastructure. Prior to Ericsson, he was a founder and the CTO at Joyent (now owned by Samsung), a pioneering high-performance cloud IaaS and software provider, where he ran product, engineering, operations, and commercial management for a decade.

The BootstrapLabs Applied Artificial Intelligence Conference 2019 #AAI19 brought together the brightest and most experienced experts in the field of AI for an immersive day of learning, discussion, and connection.

On our BootstrapWorks we have released the videos from this past conference to relive the moments and spread the knowledge around the diverse topics covered by our experts on stage. 

BootstrapLabs has built a community of more than 40,000 people from over 60 countries who care about applying Artificial Intelligence to solve the hardest problems of our society.

Get access to practical wisdom on Applied AI methodologies and take advantage of AI’s powerful potential, sign up here to receive the videos directly into your inbox. 

AI is a critical tool for using observed data to make and predict decisions. While most industries work with curated data, transportation is a different situation: self-driving cars rely on volumes of real-time information. AEye chief scientist Dr. Allan Steinhardt discusses the role of AI in abstracting and extracting the right information from a car’s environment, including how to deal with the influx of data in vehicle autonomy and ADAS. Additionally, he explores the role of transportation AI in smart highways and how smart cities with next-generation wireless (5G) will impact transportation AI trends.

Speaker: Dr. Allan Steinhardt, Chief Scientist, AEye

Some of the key takeaways from the session are:

• If you look at the individual components of a system you learn nothing, it is important to understand the overlaying complex adaptive systems.
• The mathematics of understanding complex adaptive systems is similar to mathematics of quantum theory.
• If we think about AI for transportation in cities, we have to think like complex adaptive systems with all the different layers of meaning that intersect in very complex ways: Merging the different tribes of car makers, transportation engineers and Perception/AI engineers and their respective areas of focus is important to understand the different layers around transportation AI.
• Signals from autonomous vehicle sensors are plotted in a point cloud, but the noise in the data can be used to identify road surface features, background light that is interfering with the laser etc.
• MIT students were able to utilize RF exhaust noise from various wireless signals as a radar beacon to track humans through walls.
• Massive amounts of RF bandwidth is being used for communication in transportation AI: One of six radars on a car might use 2 Gigahertz of bandwidth meaning that one car needs more bandwidth than dozens of cell-towers which is clearly not sustainable.
• Complex adaptive systems do brokering between layers and today there are many start-ups that provide various technologies for brokering of communication networks.
• Congestion represents a lot of wasted capital assets.
• The current data mindset is the more data, the better. AEye’s mindset however is described as the latest time of value: Navigating space-time obstacles safely because it is essential to make a decision immediately since there will not be a better decision later in any traffic situation. Therefore it is essential to increase the quality of the data capture process which can be modeled to focus only on key objects like the human brain.

About Allan Steinhardt:
Dr. Allan Steinhardt is among the world’s most widely esteemed defense scientists. An IEEE fellow, he is a sought-after expert on radar, missile defense, GMTI and space surveillance. He was Chief Scientist for DARPA, co-author of a book on adaptive radar, and assistant professor in Electrical Engineering and Applied Mathematics at Cornell University, where he researched sensor arrays and optimal detection capabilities. Allan also served as chief scientist at Booz Allen at MIT Lincoln Laboratory, and director of signal processing for the defense industry with BAE/Alphatech. He holds a bachelor’s in Mathematics, and graduate degrees in Electrical and Computer Engineering from the University of Colorado, Boulder.

The BootstrapLabs Applied Artificial Intelligence Conference 2019 #AAI19 brought together the brightest and most experienced experts in the field of AI for an immersive day of learning, discussion, and connection.

On our BootstrapWorks portal we have released the videos from this past conference to relive the moments and spread the knowledge around the diverse topics covered by our experts on stage. 

BootstrapLabs has built a community of more than 40,000 people from over 60 countries who care about applying Artificial Intelligence to solve the hardest problems of our society.

Get access to practical wisdom on Applied AI methodologies and take advantage of AI’s powerful potential, sign up here to receive the videos directly into your inbox. 

Bookkeeping, accounting, and auditing are undergoing rapid changes, driven in large part by the ability to digitally automate tasks previously performed manually by humans. Machine Learning and AI are driving a shift across the entire industry with the technology already being adopted by firms and individuals at a rapid pace and low price point, enabling a shift from Cloud Accounting to Augmented Accounting. Cathrine Andersen, Co-Founder of Roger.ai, discusses how in addition to making humans up to 20x faster in the bookkeeping and reconciliation process, machines can find patterns and put large data sets into perspective in a way no auditor would ever be able.

Speaker: Cathrine Andersen, Co-founder & CEO, Roger.ai

Some of the key takeaways from the session are:

• Accountant and auditor jobs were predicted to be at high risk of being automated with the help of AI and since 2004, the number of FTEs in finance departments of large companies declined by 40%.
• 90% of accountants and bookkeepers agree that the future is rapidly approaching, but only 10% think of themselves as innovative and 8% think the industry is “future ready”.
• Areas of automation:
  • Day-to-day financial operations: Accounts receivable, Accounts Payable, Cash-flow management
  • Bookkeeping / Reconciliation
  • Compliance
  • Fraud detection / Prevention
  • Auditing
• Product examples:
  • Roger.ai automates all the steps along the way by scanning documents and following determined flows within the platform. This gives the accountant the responsibility of supervision with integrated audit trails and fraud detection flags.
  • Pleo facilitates expense reporting.
  • Other companies include YayPay, Chata.ai and Mindbridge.
• The accounting firms of the future will either include a few winners who create the next generation of AI/ML-driven accounting and auditing software OR existing companies will quickly adapt to automation tools in order to compete with major players and keep their clients.
• In order to adapt to that change, re-skilling is essential to enable accountants and bookkeepers to focus on tasks like supervising the technology.

About Cathrine Andersen:
Cathrine Andersen is the co-founder and CEO of Roger.ai, an accounting automation product used by over 1,000 businesses and accounting firms worldwide. Starting with accounts payable and bill pay, Roger is moving the accounting industry from the cloud toward augmented accounting – one big step at the time. Originally from Denmark, Cathrine moved to the Bay Area in 2014 when her first company Assemblage was acquired by Cisco. She holds 2 US patents and was named Founder of the Year in her home country in 2018.

The BootstrapLabs Applied Artificial Intelligence Conference 2019 #AAI19 brought together the brightest and most experienced experts in the field of AI for an immersive day of learning, discussion, and connection.

On our BootstrapWorks portal we have released the videos from this past conference to relive the moments and spread the knowledge around the diverse topics covered by our experts on stage.

BootstrapLabs has built a community of more than 40,000 people from over 60 countries who care about applying Artificial Intelligence to solve the hardest problems of our society.

Get access to practical wisdom on Applied AI methodologies and take advantage of AI’s powerful potential, sign up here to receive the videos directly into your inbox. 

The Global South is home to some of the fastest growing economies on the planet despite being crippled by a general lack of traditional infrastructure, trade frictions, political and currency risks, and corruption. And yet, the benefits far outweigh the risks of bringing the next billion people into the Global Economy. In fact, massive investments are already being made in infrastructure, healthcare, IT, and transportation by governments, NGOs, and foundations alike. In this mini keynote and fireside chat, Chris Hale of Kountable and Jonas Svensson of UNOPS discuss how AI can empower entrepreneurs in the region by accelerating their growth, job creation, and taxable income recognition.

Presenter: Christopher Hale, Founder & CEO, Kountable

Panelist: Jonas Svensson, Head of Global Innovation and Technology, UNOPS

Some of the key takeaways from the session are:

• The global south is a relatively new term that describes countries which are not high-income countries. They represent 5B+ people or 60% of the world population.
• Africa’s population will double by 2050 and by 2100, 80% of the world’s population will live in Africa and Asia.
• Entrepreneurs are engines of change in these emerging markets, but it is difficult to identify and analyze them and their behaviors.
• Kountable built a tech platform that organizes entrepreneur behaviors as they access global markets with the help of NLP, currency forecasting, behavioral scoring & feedback loops to learn what a good trader looks like and to optimize and train against that behavior.
• The UNOPS reach is $2B to invest globally, but to innovate inside such a large structure becomes difficult. Therefore, they invest in  innovation procurement from the private sector who are able to generate profits. The EU innovation procurement policy (2018) focuses on outcome and lifetime cost instead of upfront cost and usage which facilitates innovation.
• Today, there is a funding gap of $15T to reach the sustainable development goals for 2030, which represents tremendous business opportunities for the private sector. This allows co-development with the UN, where private companies are enabled to keep the IP for usage in other sectors.
• We need to make technology available and understandable by facilitating education to bridge the social gaps around the world: The motivational driver is not shareholder profit, but global change by bringing critical infrastructure to the fastest-growing markets in the world. For example, AI is used to analyze infrastructure, food waste and to predict extreme weather patterns to facilitate support.

About Christopher Hale:
Chris Hale is founder and CEO of Kountable, Inc., an SF-based start-up that combines data science, social capital and proven financial instruments to provide highly scalable financing solutions to underserved entrepreneurs in developing countries. Kountable creates a low-friction, cloud-based bridge between investors and a massive opportunity to finance the most promising and well-networked entrepreneurs in emerging economies. Chris also doubled headcount and grew assets under management almost six-fold as the COO of Perigon Wealth Management, one of 2014’s 50 fastest growing RIAs in the country, serving approximately 100 families and managing almost $1 billion in assets.

About Jonas Svensson:
Jonas Svensson is the Head of Global Innovation and Technology at UNOPS. The UNOPS Global Innovation and Technology program operates under the Social Impact Investing Initiative with the mission to facilitate innovation wherever it happens. Connecting with Global stakeholders who share the UN foundation values regarding sustainability and the understanding that Innovation happens everywhere UNOPS together with partners have created a toolkit providing Education, Incubation, Investment and Policy support.

Prior to the role with UNOPS Mr Svensson has worked within the startup industry for the past 20 years as founder, incubator manager, business consultant, investor, last as President for a Venture capital company headed out of Tokyo Japan. Mr Svensson holds a Master in Global Management from the University of Salford and is currently pursuing his PhD.

The BootstrapLabs Applied Artificial Intelligence Conference 2019 #AAI19 brought together the brightest and most experienced experts in the field of AI for an immersive day of learning, discussion, and connection.

On our BootstrapWorks portal we have released the videos from this past conference to relive the moments and spread the knowledge around the diverse topics covered by our experts on stage. 

BootstrapLabs has built a community of more than 40,000 people from over 60 countries who care about applying Artificial Intelligence to solve the hardest problems of our society.

Get access to practical wisdom on Applied AI methodologies and take advantage of AI’s powerful potential, sign up here to receive the videos directly into your inbox. 

The application of AI in healthcare is an exciting and complex area. AI promises to streamline trial-patient enrollments and support compliance, monitor patients remotely, discover biomarkers, and deliver better, faster, and cheaper diagnoses.

Moderator Margaretta Colangelo, Managing Partner at Deep Knowledge Ventures, brings together panelists:

• Karim Galil, Founder and CEO of Mendel Health;
• Simon MacGibbon, CEO and Co-Founder of Myia Labs;
• Nada Hanafi, Chief Strategy Officer of Experien Group;
• Dr. John Rumsfeld, CIO at the American College of Cardiology and Professor of Medicine at the University of Colorado.

The conversation focuses on how AI can fundamentally change the healthcare system: moving from episodic action plans to constant monitoring, from ICUs in hospitals to Intensive Home Care Units (IHCUs) deployed in patients’ homes, from the ability to run virtual drug trials to the possibility for trials of one. Watch the video for a conversation on the most exciting and imminent areas where AI will drive positive-impact in the healthcare space.

Some of the key takeaways from the session are:

• The university of Hawaii Cancer center is analyzing 5 million mammograms from women on 5 continents with the help of AI to identify the role of ethnicity in breast cancer.
• By 2030 half of the US population will have a chronic condition. 50-60 million Americans will even have 5 or more chronic conditions.
• AI has not yet disrupted healthcare delivery since electronic health records are often messy and incomplete and do not represent high quality, clean digital data. AI technology however can consider all parameters, including those that would not have been considered by a researcher or doctor. This way predictions can be made and mistakes can be avoided.
• The earliest opportunities for AI in healthcare are:
  • Interpretations and recommendations from pre-reading images from CT, ultrasound and MRI scans.
  • Risk prediction from wearable and non-wearable biosensor data.
  • Helping clinicians prioritize steps and areas of their treatment.
• Growing the data set is the highest barrier for healthcare AI start-ups but growing a community can help attract patients for product trials.
• The FDA cleared a few dozen AI applications in healthcare so far which are low to moderate risk, but they need to adapt their regulatory efforts: The cycles of change through software are faster and so far only locked algorithms have been cleared which do not allow continuous learning.
• In April 2018 an AI tool was been introduced that diagnoses diabetic retinopathy in Type I and II diabetes and delivers a diagnosis within 5 minutes thereby removing the clinician.
• Apple’s health analytic algorithm has been cleared by the FDA because it is considered to be working on any platform while the connected sensors (on the Apple watch) have not been approved but are considered as an off-the-shelf consumer device.
• MyiaHealth focuses on three primary use cases:
  • Predicting negative events like imminent hospitalizations.
  • Personalization of the care plan.
  • Automation of clinical groundwork.
• Myia Health works with passive sensor wearable partners, because data is only reliable if it represents a holistic view. If a user wears a sensor only 30% of the time, it is of no value for analysis in healthcare.
• Mendel AI improves clinical trials with vision, inferencing and NLP research to accelerate the trial process. The platform automates processes and enables trial teams to find more eligible patients.
• The Mendel Brain organizes all data in the records in a searchable, machine-understandable format that can bridge the missing gaps in patient data.
• One of the main challenges to approaching doctors is the labeling of AI: Doctors can become defensive because they do not understand the technical terms around AI, but if they can simply see it as a tool they are open to improve processes. Cardiologists are seen as early adopters because they are generally computationally strong, tech conscious and understand statistics.

About Margaretta Colangelo:
Margaretta Colangelo is Managing Partner at Deep Knowledge Ventures, a Hong Kong based investment fund focused on DeepTech. Investment sectors include AI, Precision Medicine, Longevity, and Neurotech. Margaretta has been President of U1 Technologies since 2007, providing the communications infrastructure for stock trading platforms used by some of the world‘s top multinational investment banks. U1’s software is used at the core of large-scale stock trading applications. Margaretta serves on several advisory boards including The AI Precision Health Institute at the University of Hawaii Cancer Center, Robots Go Mental, and Woolf University – The World’s First Blockchain University.

About Karim Galil:
Karim Galil, CEO and Founder of Mendel AI, is advancing clinical oncology research by applying AI-powered EMR data solutions to current healthcare challenges. Karim is an MD with an entrepreneurial spirit. His first company Kryptonworx led health tech in the MENA region with customers like Pfizer and the Ministry of Health in UAE. Karim has also aided companies, such as Sirona and Straumann, in the field of medical image processing.

About Simon MacGibbon:
Simon MacGibbon is the CEO and co-founder of Myia Health, an intelligent remote monitoring platform. Simon has over 20 years experience using technology to enable transformational industry change in both consumer and complex B2B settings. Prior to co-founding Myia Health, Simon co-founded the Boston Consulting Group’s Digital Ventures business, where he led the creation of numerous data-driven software platforms while growing the global team to over 500 talented strategists, designers, engineers and data scientists. Formerly, Simon was an Associate Partner at McKinsey & Co. and a leader in the systems integration area at IBM Global Services.

About Nada Hanafi:
Nada Hanafi joined Experien Group in 2017 after working 12 years at FDA’s CDRH as a Senior Science Health Advisor, serving as an expert consultant and senior advisor in the Center Director’s office. Nada combines her deep institutional knowledge with innovative approaches to help companies successfully communicate product information to FDA throughout the product life cycle. At Experien Group, Nada leverages her years of reviewer experience and broad FDA exposure, helping medical device companies generate regulatory/clinical roadmaps for success. Building upon her strong engineering background, she helps organizations devise and position product performance testing and/or clinical studies to achieve major milestones.

About John Rumsfeld:
Dr. John Rumsfeld is the Chief Innovation Officer for the American College of Cardiology (ACC) and Professor of Medicine at the University of Colorado School of Medicine. Previously, Dr. Rumsfeld served as National Director for Cardiology for the U.S. Department of Veterans Affairs (VA), and as Chief Science Officer for the ACC’s National Cardiovascular Data Registry (NCDR) programs. Dr. Rumsfeld has more than 330 scientific publications and is past-Chair of the American Heart Association’s Quality of Care and Outcomes Research (QCOR) Scientific Council.