Risk Roundup

Xiaochen Zhang, Founding Partner of FinTech4Good and a Contributor to CCTV-America participates in Risk Roundup to discuss Blockchain Revolution – Risks & Rewards.

The blockchain revolution is here. Blockchain technology brings forward the potential to provide individuals and entities across nations: its government, industries, organizations, and academia (NGIOA) a trustable digital infrastructure for a fair and balanced economic ecosystem that is based on shared information and distributed trust that is transparent and trackable.

The blockchain-driven transformation seems to have blurred the boundaries between cyberspace, geospace, and space (CGS). As the blockchain-driven digital infrastructure provides digital security and brings forward a barrier against socioeconomic instability, it becomes a driving force of the digital global age, where the rules for competition and collaboration are just beginning to be rewritten.

The question is no longer whether the digital disruption, transformation, and revolution that we are witnessing today on the backbone of blockchain will transform industries and economies, but, rather, how will they do so.

As blockchain promises the digital infrastructure of a digital global age, what is the nature of transformation possible in cyberspace, geospace, and space? Blockchain seems to be a much-needed digital infrastructure for socio-economic development across nations.  While blockchains are causing a technology revolution across nations, it is important to evaluate what else is necessary for the technology transformation to succeed. Now is a time to talk about the risks and rewards of the blockchain revolution!

For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast

Xiaochen leads the design and implementation of FinTech4Goods’s strategy which aims to introduce cutting-edge fintech and blockchain solutions to emerging markets through incubation, acceleration, and investment. He brings more than 16 years of thought leadership and global experience to build impactful solutions and scale up innovative ideas in North America, Africa, Latin America, Europe, and Asia.

He serves on the Crowdfunding Professional Association Board of Directors, UN ESCAP Digital Economy Task Force, and as a senior adviser of the China Social Entrepreneurs Foundation and Inter-America Development Bank. He is also the co-chair of the Insurance Blockchain Lab, Smart City Blockchain Lab, and Blockchain4SDGs Lab.

Prior to FinTech4Good, Xiaochen advised government agencies and multinational organizations on innovation, emerging technologies, and investment in positions at the World Bank, United Nations, and other international partnership platforms. He also taught innovation and venture building at leading business schools and served as a mentor for many innovative businesses.

Risk Group is a leading strategic security risk research and reporting organization.

Copyright Risk Group LLC. All Rights Reserved

The Rise of Initial Coin Offering (ICOs)- Risks and Rewards
Emerging Technologies Geopolitics
Cashless Economy – Risks & Rewards
Protecting Cryptocurrency
Blockchain based Insurance Model for Managing Aging Infrastructure Risks
Smart Contracts – Risks & Rewards
Blockchain & Machine Learning Based Content Platform
Blockchain Based Risk Transfer
Securing the Internet of Things using Blockchain Convergence
The Convergence of Blockchain and Internet of Things
Blockchain Applications for Emerging Economies
Blockchain based Creative Content Collaboration
Applications of Blockchain Technology
What Should Bankers Know About Financial Technology
Blockchain based Network Security
Digital Transformation of Financial Industry
Will Blockchain Secure the Internet of Things

The post Blockchain Revolution – Risks & Rewards appeared first on Risk Group.

Christopher Frenz, Director at Interfaith Medical Center based in the USA, participates in Risk Roundup to discuss Medical Device Security Risks.

Medical devices are increasingly getting connected to the internet, hospital networks, and other medical devices. As a result, just like any other connected computer system, medical devices are also becoming vulnerable to security breaches from cyberspace, geospace, and space (CGS).

While the on-going breaches potentially impact the safety, security, and effectiveness of medical devices, it also brings to light the developing fear and mistrust towards the hospitals. When human lives are at the center of this rapidly evolving vulnerable healthcare ecosystem, understandably, the security of medical devices becomes a significant risk management concern.

As healthcare is on its way to becoming the largest attack surface for cybersecurity warfare, the big question is where would this end and what can be done? As we evaluate the medical device security risks, the concerns that in the coming years we, the humans, with our limited human intelligence, will not be able to secure medical devices surrounding us by just our efforts, is getting very real.

Now is the time to evaluate medical device security risks.

For more please watch the Risk Roundup Webcast or hear Risk Roundup Podcast

Christopher Frenz is the Director at Interfaith Medical Center and focuses on healthcare information security and privacy. He has authored 2 computer books and over 75 technical articles.

The OWASP (Open Web Application Security Project) “Secure Medical Device Deployment Standard” and “Anti-Ransomware Guide” are some of his notable publications.

Risk Group is a leading strategic security risk research and advisory organization.

Copyright Risk Group LLC. All Rights Reserved

The post Medical Device Security Risks appeared first on Risk Group.

James A. DeMeo, Founder & CEO of Unified Sports & Entertainment Security Consulting participates in Risk Roundup to discuss – Challenges of Confined Space Security in Securing Stadiums.

The tragedies unfolding across nations are a constant, yet painful reminder that the threat of terrorism remains alive and real. As weapons of mass destruction get smaller, sharper, and simpler, even a single individual can cause massive damage in cyberspace, geospace, and space (CGS). This emergence of lone-wolf threats in CGS presents numerous security challenges for soft targets like stadiums, malls, theaters, marketplaces, and more.

A determined enemy, be it a single individual or a group of people, will likely be able to penetrate any system, event, or infrastructure across CGS. As a result. the security professionals that are entrusted with the responsibility of effectively safeguarding confined spaces across nations are acknowledging the fact that a lorry crasher, a suicide bomber, or a loner with a laptop, can also potentially cause mass collateral damage.

Fighting crimes and terrorism in cyberspace, geospace, and space (CGS) is getting complex. When the changing nature of security threats in cyberspace, geospace, and space (CGS) are bringing new sets of challenges and complexities to individuals and entities across nations: its governments, industries, organization and academia (NGIOA); collective brainstorming is a necessity to have an objective evaluation of what is a threat and how can it be secured!

Time is now to evaluate the challenges of confined space security in securing stadiums.

For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast

James A. DeMeo, M.S. is the Founder, President & CEO of USESC-Unified Sports & Entertainment Security Consulting LLC. He has over 25 years of Security, Law Enforcement and Consulting experience. He is regarded as a Subject Matter Expert in Event Security by several leading domestic and international publications.

Risk Group is a leading strategic security risk research and advisory organization.

Copyright Risk Group LLC. All Rights Reserved

The post Challenges of Confined Space Security in Securing Stadiums appeared first on Risk Group.

Dr. Gary Fogel, CEO of Natural Selection Inc from the United States participates in Risk Roundup to discuss Machine Learning for Medical Diagnosis.

Medicine, medical care, disease care, and healthcare are rapidly emerging to be human-machine collaboration. At this point, we see both humans and machines performing tasks at which they are good.  While this symbiotic relationship is still at an early stage, as machine learning and deep learning systems develop and evolve, it is expected that machines will increasingly assist humans with those tasks at which they are not very good.

So, what are we humans good at? It seems we, humans, are good at processing information from our senses. We are also very good at perceiving human emotions. However, we are not so good at remembering things, searching for and organizing data– and we are also not good at correlating and reasoning data as well.

This is where machine learning systems will add tremendous value. Machine learning systems will make physicians, providers, and practitioners faster and smarter in their diagnoses. As a result, this will reduce uncertainty in their decisions, thereby reducing costs and risks and saving valuable time. This is welcoming as there is an increasing concern that manual medical diagnostic practices, which are driven largely by human intelligence, are no longer sufficient to effectively perform complex disease diagnostic tasks on their own, in a timely and cost-effective manner.

From across nations, there are numerous reports emerging that machine learning has convincingly penetrated complex processes of medicine, especially medical diagnosis. As machine learning seems to be on its way to transforming the world of medicine and medical diagnosis, it is changing the fundamentals of not only disease diagnosis and care, but also healthcare.

As we speak, machine learning/deep learning and AI are transforming the disease care/healthcare industry. While they improve patient outcomes and change the way doctors think about providing disease care as well as health care, they also bring complex challenges and security risks that need to be managed effectively.

It is time to evaluate machine learning for medical diagnosis.

For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast

Gary Fogel is Chief Executive Officer of Natural Selection, Inc. He has spent most of his career as a data scientist applying computational intelligence and machine learning to medicine, industry, and defense.

He is also Adjunct Faculty at San Diego State University, and co-founder and managing director of Theragence, Inc. He is currently Editor-in-Chief of the journal BioSystems, serves on the Administrative Committee for the IEEE Computational Intelligence Society, and is a Fellow of the IEEE.

He received his B.A. in biology from the University of California, Santa Cruz, and Ph.D. in biology from the University of California, Los Angeles.

Risk Group is a leading strategic security risk research and reporting organization.

Copyright Risk Group LLC. All Rights Reserved

Machine Learning Based Market Forecasting
Machine Learning on Insurance Data to Predict Hospitalization
Future of Work – Battle between Human Work Force and Machine Work Force
Machine Learning Bias – An Existential Risk
Understanding Cognitive Computing
Cloud Powered Artificial Intelligence Platform
Blockchain & Machine Learning Based Content Platform
Powering Collective Human Intelligence
Collective Intelligence
Collective Machine Intelligence
Artificial Intelligence based Healthcare System
Science of Intelligence – Human Intelligence to Computational Intelligence
How will Deep Learning Disrupt Financial Sector?
Social Media Based Predictive Analytics
Credit Scoring using Machine Learning
Cancer Detection to Credit Lending – Intelligent Machine Applications of Artificial Intelligence
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Financial Industry Moves Towards Artificial Intelligence Based Machines
Man-Machine Interaction – Communicating with Computers
Machine Intelligence Impact on Human Society
The Rise of Artificial Intelligence
Artificial Intelligence driven Cyber-Security
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Agricultural Robots
Computational Intelligence & Security Risks
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools

The post Machine Learning for Medical Diagnosis appeared first on Risk Group.

Prof. Risto Ilmoniemi, Head of Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Finland participates in Risk Roundup to discuss Science of Intelligence – Human Intelligence to Computational Intelligence.

It is said that what we cannot create we do not understand. While the very nature of the human mind and the science of intelligence is difficult to understand, there is an intense effort going on across nations to build a conscious computer mind out of computer chips. Do we know enough about the science of intelligence to build computational intelligence? Perhaps not! As a result, there are growing concerns and questions about building a computer mind from electronic pieces when there is so little clarity about the human mind, science of intelligence, and the very nature of human consciousness.

From the beginning of human times, the power of imagination has helped us, humans, explore the unknowns, evolve, and change the world around us. We have fundamentally transformed the geospace. The same power of imagination will perhaps, continue to help us explore, the unknowns of cyberspace and space, and change the reality around humanity.

Imagination has always been an indicator of human intelligence. While imagination is a creative power that is necessary for inventions in cyberspace, geospace, and space (CGS), the same power of imagination is driving neuroscientists today to understanding human intelligence, imagination, and where ideas originate from– the human brain and mind better. The power of imagination can transform the reality around us because new ideas enable us to innovate.

We, the humans, and the human mind carry all the power we need inside ourselves already. We have the power to imagine better, and imagination makes it possible to experience a whole world inside the human mind, which we can then go and create outside in cyberspace, geospace, and space.

Irrespective of human intelligence or computational intelligence, knowing what determines intelligence is perhaps the biggest question humanity faces today. It is therefore important that we evaluate the fundamentals of the science of intelligence.

Since there are no limits to intelligence imagination, there are no limits to progress and advancement in humans. It is the imagination that will help us create worlds, that never were, in cyberspace, geospace, and space (CGS). But without intelligent imagination, we go nowhere. It is important that we understand the science of intelligence to understand human intelligence to computational intelligence.

For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast

Prof. Risto Ilmoniemi is currently the Head of the Department of Neuroscience and Biomedical Engineering at Aalto University School of Science, Finland. He is currently developing novel brain imaging methods; and using them to reveal some secrets of the brain. His focus is on developing methods to diagnose and treat the brain.

He received his Ph.D. from Helsinki University of Technology, in 1985 in Solid State Physics. He and his team were awarded Innovation Prize by the New Technology Foundation (Turku) for “Multichannel magnetic brain stimulator”, 15000 FIM, April 14, 1997

He serves on the Board of Brain Research Society of Finland, 1990–1996. He is also a member of the Board, Graduate School “Functional Studies in Medicine”, 1995–2003. He is Chairman of the Board, Nexstim Ltd., 2000–2003; Member of the Board, 2000–2006. Member of Editorial Board: Journal of Psychophysiology, 2003–2007.

Member of Specialist Panel “Ymmärtäminen ja inhimillinen vuorovaikutus” [Understanding and Human Interaction], FinnSight 2015, The Academy of Finland and TEKES, 2005–2006. Member of Commission K (Electromagnetics in Biology and Medicine), Finnish National Committee of International Union of Radio Science (URSI), Jan 21, 2006–.

Member of the Board, Finnish Society for Natural Philosophy, 2009–2012. Chairman, Finnish Society for Medical Physics and Medical Engineering, 2010–2012; Vice Chairman, 2007–2010; Member of the Board, 2006–. Member of International Advisory Board for Bernstein Focus Neurotechnology, Berlin, 2010–2013.

Member of Advisory Board, Medtech West, Gothenburg, 2010–. Member of the Board: Instrumentarium Science Foundation 2010–. Founding Member, European Society for Cognitive and Affective Neuroscience, 2011–. Topic Editor, “Manipulative approaches to human brain dynamics”, Frontiers in Human Neuroscience, 2013.

Member of Advisory Board for Berlin Bernstein Center for Computational Neuroscience, 2014–. Member of Finnish National Committee for Medical Physics and Medical Engineering, 2014–. Member of Advisory Board, University of Eastern Finland, 2014–. Member of the Board, Neuroscience Center, University of Helsinki, 2014–.

Member of the International Advisory Board, International Conferences on Biomagnetism, 2014–. Member of Scientific Committee, Institute for Advanced Biomedical Technologies (ITAB), Gabriele D’Annunzio University, Chieti-Pescara, Italy, 2014–. Member of the Advisory Board, Aalto Ventures Program, 2015–, Member of the Academic Committee, Aalto University, 2010–2013, and more.

Risk Group is a leading strategic security risk research and advisory organization.

Copyright Risk Group LLC. All Rights Reserved

Machine Learning Based Market Forecasting
Machine Learning on Insurance Data to Predict Hospitalization
Future of Work – Battle between Human Work Force and Machine Work Force
Machine Learning Bias – An Existential Risk
Understanding Cognitive Computing
Cloud Powered Artificial Intelligence Platform
Blockchain & Machine Learning Based Content Platform
Powering Collective Human Intelligence
Collective Intelligence
Collective Machine Intelligence
Artificial Intelligence based Healthcare System
Machine Learning for Medical Diagnosis
How will Deep Learning Disrupt Financial Sector?
Social Media Based Predictive Analytics
Credit Scoring using Machine Learning
Cancer Detection to Credit Lending – Intelligent Machine Applications of Artificial Intelligence
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Financial Industry Moves Towards Artificial Intelligence Based Machines
Man-Machine Interaction – Communicating with Computers
Machine Intelligence Impact on Human Society
The Rise of Artificial Intelligence
Artificial Intelligence driven Cyber-Security
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Agricultural Robots
Computational Intelligence & Security Risks
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools

The post Science of Intelligence – Human Intelligence to Computational Intelligence appeared first on Risk Group.

Egbert Oostburg, Founder and Chief Strategy Officer of Drone Aviator, a software development firm providing cybersecurity technology to the growing UAV industry participate in Risk Roundup to discuss Drone Security Risks.

An unmanned aerial vehicle (UAV), commonly known as a drone, is on its way to becoming smaller, faster, accessible, and affordable. From pizza delivery to package delivery, from residential security to critical infrastructure security, from spying to surveillance, and more, drones are emerging today to play a critical role for individuals and entities across nations: its government, industries, organizations, and academia (NGIOA).

While the rapid democratization of UAVs or drones brings many opportunities for individuals and entities across NGIOA, it also brings numerous complex challenges and concerns. The question is whether individuals or entities across NGIOA are prepared for the rise of drones in their operational ecosystem? It is important that we evaluate the complex security challenges of UAVs or Drones.

Drones or unmanned aerial vehicles (UAV) seem to be here to stay! However, rushing to develop applications of drone technology without understanding the complex security risks can result in many complex challenges for which we perhaps are not prepared. It is important that we understand the risks associated with drones or unmanned aerial vehicles (UAV).

For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast

Mr. Egbert Oostburg is the founder and Chief Strategy Officer of Drone Aviator, a seed‐stage software development firm that provides cybersecurity technology to the growing drone industry.

He serves on the San Diego UAS FAA Safety Team as an ambassador and chairs the Robotics and Automation Society for IEEE in the San Diego region.  Oostburg has served on advisory boards of several companies including Foneclay, Koinonia Labs, Bible Belles, and Trinity Equity Partners.

Prior to Drone Aviator, Oostburg served as a surface warfare officer on board the aircraft carrier USS Constellation and deployed with ACU‐5 Swift Intruders as division OIC for the Pacific Command.

Earlier in his career, Mr. Oostburg ran several product lines for Pfizer Pharmaceuticals in the Western Region.  He also founded an app development company and real estate brokerage. Egbert has a BA in Economics from the University of New Mexico, an MA in Project Management from Villanova University, and an MBA from Thunderbird School of International Management at ASU.

Risk Group is a leading strategic security risk research and reporting organization.

Copyright Risk Group LLC. All Rights Reserved

Emerging Technologies Geopolitics
Drone Applications and Security Risks

The post Drone Security Risks appeared first on Risk Group.

Prof. Alo Ghosh, the Co-founder of OnLLiance, a serial entrepreneur, who has taught at Wharton and created one of South Asia’s first institute teaching degrees and diplomas from the London School of Economics, Oxford, and Cambridge joins Risk Roundup to discuss How Deep Learning will Disrupt Financial Sector.

Deep learning is driving today’s Artificial Intelligence Explosion.

As the evolving story of an artificial intelligence explosion and intelligent computing brings advanced algorithms, machine learning, deep learning, and cognitive computing to solve problems faced by nations: its government, industries, organizations, and academia (NGIOA) in cyberspace, geospace, and space (CGS) that were typically performed by we, the humans; the growing concerns that in the coming years, human intelligence will not be able to keep up and solve complex problems surrounding them in cyberspace, geospace and space (CGS) on its own, is getting very real.

There are numerous reports emerging from across nations that deep machine learning has convincingly penetrated complex business processes across nations: its government, industries, organizations, and academia (NGIOA). As entities across NGIOA have begun to use deep learning algorithms, more specifically neural networks that are learning from raw data, they are basically enabling computers or machines to make better predictions and take smart actions in real-time. As a result, the role of humans, in taking those decisions is diminishing.

The digital global age has grown in scale and complexity, increasing concern that manual business practices, that are driven largely by human intelligence, are no longer sufficient to effectively perform complex tasks on their own, in a timely and cost-effective manner.

Deep Learning seems to be bringing the beginning to an end for the traditional way of doing things as we know, across nations: its government, industries, organizations, and academia (NGIOA) in cyberspace, geospace, and space (CGS). It is important that we understand the security risks associated with this fundamental transformation and evaluate its impact. It is important to evaluate how Deep Learning will disrupt the Financial Sector.

For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast

Prof. Alo Ghosh is a seed investor, co-founder, interim CXO, sage advisor to startups in AI, fintech, edtech, and impact investing. He is a trusted advisor to startup-growth-MNC decision-makers for creating sustainable competitive value.

He is a data science leader who is trained and experienced in statistics, econometrics, OR, AI, quant finance-economics. He has successfully sourced & funded multibillion-dollar PE deals, headed a $4B country wealth fund, and advised CXO’s worldwide. He has taught Wharton MBAs, co-led McKinsey corporate finance, and bootstrapped SV fintech startup to $100M.

Prof. Ghosh is a hands-on Silicon Valley co-founder, interim CXO & risk manager of FinTech startups in insurance & investments. He has over thirty-five years of learning & practice at the cutting edges of finance, strategy, technology in some of the world’s most storied institutions as well as with the most diverse of startups, universities, governments, private equity funds, hedge funds, investment banks & sustainable development non-profits/NGOs in several different parts of the world

• Co-founder, interim CXO, seed funder to Silicon Valley FinTech & EdTech startups
• Advisor to decision makers in hands-on creation of sustainable shareholder value
• Trained data science expert in statistics-econometrics, O.R., quantitative finance
• Created business plans for projects and ventures securing $’000million in funding
• Sourced large PE deals, headed country wealth fund, consulted widely in S/E Asia
• Taught Wharton MBA, co-led McKinsey finance, forged global fintech consultancy

Risk Group is a leading strategic security risk research and reporting organization.

Copyright Risk Group LLC. All Rights Reserved

Machine Learning Based Market Forecasting
Machine Learning on Insurance Data to Predict Hospitalization
Future of Work – Battle between Human Work Force and Machine Work Force
Machine Learning Bias – An Existential Risk
Understanding Cognitive Computing
Cloud Powered Artificial Intelligence Platform
Blockchain & Machine Learning Based Content Platform
Powering Collective Human Intelligence
Collective Intelligence
Collective Machine Intelligence
Artificial Intelligence based Healthcare System
Machine Learning for Medical Diagnosis
Science of Intelligence – Human Intelligence to Computational Intelligence
Social Media Based Predictive Analytics
Credit Scoring using Machine Learning
Cancer Detection to Credit Lending – Intelligent Machine Applications of Artificial Intelligence
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Financial Industry Moves Towards Artificial Intelligence Based Machines
Man-Machine Interaction – Communicating with Computers
Machine Intelligence Impact on Human Society
The Rise of Artificial Intelligence
Artificial Intelligence driven Cyber-Security
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition

The post How will Deep Learning Disrupt Financial Sector appeared first on Risk Group.

Dr. David Fogel, President of Natural Selection, Inc. and the Co-Chair of the 2017 IEEE Symposium Series on Computational Intelligence participates in Risk Roundup to discuss Computational Intelligence & Security Risks.

Computational Intelligence is about building intelligent agents. Intelligent agents, intelligence, and the ability to take effective decisions to forecast the future have fascinated individuals and entities across nations: its government, industries, organizations, and academia (NGIOA) since its early existence.

Irrespective of NGIOA, accurate predictions based on the sound decision-making process and intelligence is essential, as forecasting errors or bad decisions based on bad intelligence involve much more than the loss of money. This is where computational intelligence shows tremendous promise. The ability of a computer to learn a specific task from any and all available data and make the right decision is changing not only the fundamentals of computational intelligence but also how we address complex real-world problems to which mathematical or traditional modeling is not generally effective.

It is believed by many that the current technological momentum which covers many disruptive technologies such as ‘Internet of Things, ‘big data, ‘cloud computing, ‘deep learning, and more, is not only the beginning of a new industrial revolution but that the developments in Artificial Intelligence will be driving the transformation process across nations: its government, industries, organizations, and academia (NGIOA) in cyberspace, geospace, and space (CGS).

As we understand the science of intelligence further and build intelligent systems, fundamental changes and challenges are expected across nations: its government, industries, organizations, and academia (NGIOA) in cyberspace, geospace, and space (CGS). It is time to evaluate Computational Intelligence & Security Risks.

For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast

Dr. David Fogel received a Ph.D. in engineering sciences (systems science) from UCSD in 1992. He earned a B.S. degree in mathematical sciences (probability and statistics) from UCSB in 1985.

Dr. Fogel is an internationally recognized scientist, speaker, and engineer. In 1999, he was elevated to the status of IEEE Fellow, the then second-youngest Fellow in the history of the world’s largest organization of professional engineers.

In 2004, he received an IEEE Technical Field Award, and he has received numerous other distinctions, including San Diego Distinguished Scientist of the Year from Sigma Xi, the CajAstur Prize for Soft Computing, and he received an honorary doctorate in 2008 from the University of Pretoria.

In 2009, Dr. Fogel was named one of the top-100 most influential alumni in the then 50-year history of the University of California at San Diego. In 2014, Dr. Fogel was recognized as an “AI Hero” by the 150-member artificial intelligence team at Lockheed Martin.

Dr. Fogel’s experience includes 30 years of pioneering contributions in the field of computational intelligence. He has over 200 technical publications and a variety of non-technical articles for general audiences. In 1996, Dr. Fogel became the founding editor-in-chief of the IEEE Transactions on Evolutionary Computation, which now ranks typically in the top 3 of all computer science journals for impact factor annually.

He also served as editor-in-chief of BioSystems from 2001-2008. In 1993, Dr. Fogel co-founded Natural Selection, Inc., an award-winning woman-owned small business that focuses on applying computational intelligence to challenging problems. In 2006, Dr. Fogel co-founded Natural Selection Financial, Inc. a registered investment advisory firm, and served as a hedge fund manager from 2008-2010. Dr. Fogel also is a co-inventor of EffectCheck(R), an online system for evaluating the emotional content in communication.

Risk Group is a leading strategic security risk research and reporting organization.

Copyright Risk Group LLC. All Rights Reserved

Machine Learning Based Market Forecasting
Machine Learning on Insurance Data to Predict Hospitalization
Future of Work – Battle between Human Work Force and Machine Work Force
Machine Learning Bias – An Existential Risk
Understanding Cognitive Computing
Cloud Powered Artificial Intelligence Platform
Blockchain & Machine Learning Based Content Platform
Powering Collective Human Intelligence
Collective Intelligence
Collective Machine Intelligence
Artificial Intelligence based Healthcare System
Machine Learning for Medical Diagnosis
Science of Intelligence – Human Intelligence to Computational Intelligence
How will Deep Learning Disrupt Financial Sector?
Social Media Based Predictive Analytics
Credit Scoring using Machine Learning
Cancer Detection to Credit Lending – Intelligent Machine Applications of Artificial Intelligence
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition
Financial Industry Moves Towards Artificial Intelligence Based Machines
Man-Machine Interaction – Communicating with Computers
Machine Intelligence Impact on Human Society
The Rise of Artificial Intelligence
Artificial Intelligence driven Cyber-Security
Advances in Artificial Intelligence – Human and Non-Human Gesture and Action Recognition<
Agricultural Robots
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools

The post Computational Intelligence & Security Risks appeared first on Risk Group.

Dr. Robert. G. Williscroft, a Sci-Fi adventurer, and author of the book, Slingshot, participate in Risk Roundup to discuss Space Security.

Since the beginning of the use of scientific times, nations’ use of space was more of a demonstration of science and technology superiority than anything else. While this technology demonstration was a means to gain global prestige and power, that is no longer the case today, as space technology is effectively being used as a foundation to build systems that are vital to nations’ economic survival and sustainability.

Space is now a contested common. It has become a vital part of most nations’ economic infrastructure. Almost every nation today has its satellites in space or has a stake in space or is trying to have a stake in space. The use of space has now entered a phase where nations and all its components, not only depend on it for its national security and telecommunications but also for many other systems for all kinds of advances for their governments, industries, organizations, and academia (NGIOA). As a result, the relevance of space to the survival of humanity is increasingly becoming self-evident.

Due to connected computers, computer code, and the internet, today, cyberspace, geospace, and space (CGS) are interconnected, and the interconnected CGS world is dependent on the space infrastructure. As the CGS systems evolve further; along with geospace and cyberspace, space will also be exposed to additional strategic competition, security vulnerabilities, and even conflict.

The reliance of the current and emerging CGS systems on space is so profound that only a few hours of space-based asset disruption by hackers or space warfare could crash the financial markets and systems, causing billions of dollars in losses. This could very well endanger human survival.

While space assets provide the technological backbone for critical infrastructures across cyberspace, geospace and space, it is important to evaluate whether space security and sustainability need to be a priority for everyone. It is time to focus on space security.

For more please watch the Risk Roundup Webcast or hear the Risk Roundup Podcast

Robert G. Williscroft, Ph.D. is a polar explorer, submarine, deep-sea diver, scientist, businessman, author of several published books and hundreds of articles, and a life-long adventurer. He served twenty-three years in the U.S. Navy and the National Oceanic and Atmospheric Administration (NOAA). His life is an ongoing adventure with worldly experiences including (but not limited to) having spent 22 months UNDERWATER on nuclear submarines, 13 months at the geographic South Pole conducting atmospheric research, 3 years’ shipboard in the Arctic, and 1 year shipboard on the equator conducting ocean floor studies! He has written extensively on terrorism and space-related subjects.

Risk Group is a leading strategic security risk research and reporting organization.

Copyright Risk Group LLC. All Rights Reserved

Future of Work – Battle between Human Work Force and Machine Work Force
Technology Trends and Future of Humanity
Technology Trends and Humanification
Dual Use Technology Dilemma and National Security Risks
Electronic Warfare Preparedness
Future of Technology
Digital Future – Complex Challenges of Change
Electronic Warfare-An Existential Risk
Electromagnetic Warfare
What Role Gene Environment Plays In Gene Expression And Human Health Security
Fourth Industrial Revolution and Security
Machine Learning Bias – An Existential Risk
Risks and Rewards of Genomic Medicine
Competitive Intelligence and Risk Management
Strategic Intelligence
Disruptive Innovation and Security  Risks
Diagnostic Genomics and Security Risks
NanoSatellites & Democratization of Space
Healthcare in Turmoil
Space Mining
Impact Investing
BioEconomy – Promise and Perils of Synthetic Biology
Societal Impact of Robotics
Complex Security Risks of Mediterranean Region
Are Education Institutions Prepared for Digital Disruption
Digital Disruption in Marketing
The Middle East Geopolitical Puzzle and Risks to Global Security
Impact of Cyber-Security Risks Global Business
The Digital Global Age – Contested Commons
Strategizing Digital Transformation
Strategizing Cyber-Security
Energy Warfare

The post Space Security appeared first on Risk Group.

David Friede from Neo Cyber-security participates in Risk Roundup to discuss Automated Penetration Testing.

Cyber-security vulnerabilities are a growing global problem. As the security attacks grow rapidly in both frequency and sophistication in cyberspace, it poses a critical threat to individuals and entities across nations: its government, industries, organizations, and academia (NGIOA).

One of the biggest challenges in cyber-security today is determining whether the tools and techniques we have in place, are giving us the level of security we need across NGIOA in cyberspace, geospace, and space (CGS). If we, that is individuals and entities across NGIOA are to protect our information in all formats, it’s important that we get informed about “security vulnerabilities” in our computer and network ecosystem. But how to do that?

Perhaps through penetration testing. There are many who believe that penetration testing, commonly known as pen-testing is perhaps an answer to the complex security vulnerabilities from cyberspace. Automated penetration testing plays an important role in the security community as these tools can quickly evaluate the security of systems, networks, and applications against a wide variety of security threats in cyberspace and from cyberspace. It is time to take a closer look at automated penetration testing tools!

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David Friede from Neo Cybersecurity is passionate about network security and believes that cybercrime will become one of the most important issues facing our increasingly interconnected societies.

Hacking is modern warfare, with millions of people affected. Companies need to make security a priority and direct resources to counteract this new brand of terrorism.

His organization, Neo Cyber Security believes that thorough and frequent penetration testing is the only way to truly deter cybercriminals. Neo offers a free VM tool for clients and managed service providers to perform a simulated hacking event on their networks as often as they desire and address vulnerabilities before they are exploited.

Risk Group is a leading strategic security risk research and reporting organization.

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