Risk Roundup

Steve Pearson, Founder and Head of Strategy and Innovation at Pearson Strategy Group participates in Risk Roundup to discuss Disruptive Innovation and Security Risks.

It seems that across nations: its governments, industries, organizations, and academia (NGIOA), once formidable competitors that had built their success on apparently impenetrable strategic positions are coming under serious attack from relatively unknown innovators and entities that are using revolutionary new strategies and innovation. As a result, today, regardless of the size of an entity hoping to disrupt, or is looking to anticipate disruption, and/or are trying to understand disruptive innovations; understanding disruptive strategy is becoming vital for everyone across NGIOA.

Today, irrespective of industries, innovators and start-ups with almost no experience and no capital is able to collapse established corporations’ strategy, before they can even begin to grasp what’s happening. It is therefore important that everyone across NGIOA understands the state of disruption across nations today.

It seems that across NGIOA, once formidable competitors that had built their success on apparently indestructible strategic positions are coming under attack from relative unknowns. As disruptive strategy fundamentally transforms components of NGIOA, it is important that we evaluate security risks rising because of the profound implications to the future of humanity. Time is now to talk about Disruptive Strategy and Innovation!

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

Steve Pearson is the founder of Pearson Strategy Group, LLC, which specializes in intellectual property management, technology identification, and market assessment. Steve and his team help companies accelerate innovation and product development, often providing on-call R&D for companies too small to hire full-time researchers.

Steve’s broad background and diverse technical expertise provide valuable insight to those in the electrical, mechanical, energy, construction, and transportation industries. Before starting The Pearson Strategy Group, LLC, Steve was an Analyst at Nerac and a process control engineer covering the machining and electropolishing of stainless steel fittings and tubing at Advanced Stainless Technologies in Austin.

He has also worked at Motorola’s semiconductor manufacturing group in Austin as an equipment and process control engineer. Earlier, Steve served aboard a U.S. Navy submarine as both an electronics technician and a nuclear reactor operator, and was a trainer at the Naval Reactors Facility at the Idaho National Laboratory.

A popular speaker in Austin and around the state of Texas, he covers topics such as Competitive Intelligence, Patents, Patent Searches, and Intellectual Property. He also writes a regular blog on wide-ranging topics from trends to due diligence and risk analysis

Risk Group is a leading strategic security risk research and advisory 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
Diagnostic Genomics and Security Risks
NanoSatellites & Democratization of Space
Healthcare in Turmoil
Space Mining
Space Security
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 Disruptive Innovation and Security Risks appeared first on Risk Group.

Matthew Lamons, Founder, and CEO of Skejul based in the United States participate in Risk Roundup to discuss – Cloud-Powered Artificial Intelligence Platform.

Cloud computing has helped us move away from the past that ran applications or programs from software that were downloaded on a physical computer or servers. While cloud computing allows us access to all kinds of applications through the internet clouds, we are also witnessing the rise of intelligent machines that can sense, reason, and act on their own without human help.

Since artificial intelligence (AI) is at the heart of much of today’s technology innovation and the rise of machine intelligence, there is a great hope that it will bring us the potential to not only improve the existing cloud platforms but also power the next generation of cloud computing technologies and platforms.

It is important that we, individually and collectively, evaluate whether artificial intelligence will be able to power the next phase of cloud computing. This is especially important since there is a growing unanimity on all-out analytics that is increasingly seen as the gateway to big data floodgates.

As we witness the growing incorporation of artificial intelligence capabilities as a foundational element of cloud infrastructures, it brings us the promise of potential to accelerate solutions to large-scale problems facing individuals and entities across nations: its governments, industries, organizations, and academia (NGIOA). It is important to evaluate whether artificial intelligence will power the next generation of cloud computing.

As “Cloud-based Artificial Intelligence Platforms” fundamentally transforms NGIOA, it is important that we evaluate its independent and interdependent security risks that are rising and have profound implications to the future of humanity in cyberspace, geospace, and space (CGS). Time is now to talk about “Cloud-based Artificial Intelligence Platform Risks”!

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

Matthew Lamons is the Founder and CEO of Skejul based in the United States.

Skejul, the cloud-based artificial intelligence platform takes the guesswork out of organizing and scheduling any activity and has been named a “Cool Vendor” in the “Cool Vendors in Unified Communication, 2017” report by Gartner, Inc. Skejul eliminates frustration in planning and managing business meetings and family activities. Skejul schedules meetings in seconds without sharing calendars, bouncing emails back and forth, or disclosing your availability. Their mission is to simplify the future by giving people awesome new ways to set, see, and share: life, work, and play.

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
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
Computational Intelligence & Security Risks
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools

The post Cloud Powered Artificial Intelligence Platform appeared first on Risk Group.

Travis Garland, CEO of DeepSee based in the United States participates in Risk Roundup to discuss Blockchain & Machine Learning-Based Content Platform.

Connected computers, information, communication, and digitization technologies have connected individuals and entities across nations: its government, industries, organizations, and academia (NGIOA). The growing digital connectivity is creating an ever-increasing demand for information and digital content that is credible, transparent, verifiable, payable, and accessible.

While social media is no longer ignored and individuals and entities across nations: its government, industries, organizations, and academia (NGIOA) are getting ready to benefit from the changing fundamentals of content creation and communication, the reality remains that managing content in cyberspace is much more complex than in geospace.

To meet the complex challenges facing digital content creation and distribution, there are many ongoing efforts to the content distribution, monetization, verification, and aggregation process powered by blockchain and artificial intelligence. It is important to evaluate existing and emerging content platforms further:

• Rules, regulations, guidelines, and moderation follows on social networks
• Technology and content distribution
• Creating a platform that doesn’t marginalize the user based on their topic of interest or format
• Ensuring social media users are not marginalized irrespective of their ideology, religion, skin color, preferences and origin

Blockchain and machine learning technology continue to redefine how a nation: its government, industries, organizations, and academia (NGIOA) need to operate in a digital global age. While the potential of blockchain and machine learning technology is immense; we need to identify, evaluate and manage the complex challenges associated with re-defining and re-designing the systems at all levels.

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

Travis Garland is the CEO of DeepSee and is based in the United States. He is an experienced entrepreneur, growth marketer, and technology guru from software development to machine learning and artificial intelligence research.

He is currently working on an all-in-one media platform called DeepSee.io. where they are disrupting the content distribution, monetization, verification, and aggregation process with the help of blockchain and artificial intelligence.

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
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
Computational Intelligence & Security Risks
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools

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 Based Risk Transfer
Blockchain Revolution – Risks & Rewards
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 & Machine Learning Based Content Platform appeared first on Risk Group.

Pierre Lévy, a Fellow of the Royal Society of Canada, Professor at the University of Ottawa, and Inventor of Information Economy Meta Language (IEML) participates in Risk Roundup to discuss – Powering Collective Human Intelligence.

While the very nature of the human mind and the science of individual human intelligence is difficult to understand, there is an intense effort going on to build collective human intelligence powered by connected computers and machine intelligence. Since the efforts are towards creating collective human intelligence on the back of collective machine intelligence, the collective human brain that is forming will likely have an unmatched ability to design, modify and build even better forms of intelligence in the coming years.

Since there will likely be no limits to collective machine intelligence, there is a great hope that there will likely be no limits to intelligence and innovation, progress and advancement for humans.

It is the collective human intelligence powered by collective machine intelligence that will help us create the worlds, that never were, in cyberspace, geospace, and space (CGS).

So, in the coming years, as we integrate human intelligence with massive machine intelligence, then our relationship with everything on earth and beyond, in cyberspace, geospace, and space (CGS) enhances, amplifies, and fundamentally changes. The coming revolution and evolution of intelligence raise profound implications for the future of the collective human experience and endeavors in cyberspace, geospace, and space.

Let us evaluate this further-

• Technology Powered Evolutionary Journey Towards Mutualistic NGIOA Symbiosis
• Technology Transformation and Potential for Collective Systems
• Collective Intelligence and Democratization of Information
• Knowledge Sharing and Connected Computers
• Semantic Web
• Information Economy Meta Language (IEML)
• Shared Organizations

As humanity’s relationship to knowledge and information changes, it is important that we evaluate strategic security risks emerging because of the profound implications to the future of the collective human experience and endeavors in cyberspace, geospace, and space.

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

Prof. Pierre Lévy is a French philosopher, cultural theorist, and media scholar who specializes in understanding the cultural and cognitive implications of digital technologies and the phenomenon of human collective intelligence. Prof. Lévy introduced the collective intelligence concept in his 1994 book L’intelligence collective: Pour une anthropologie du cyberspace (Collective Intelligence: Mankind’s Emerging World in Cyberspace).

Prof. Lévy’s 1995 book, Qu’est-ce que le virtuel (translated as Becoming Virtual: Reality in the Digital Age) develops philosopher Gilles Deleuze’s conception of “the virtual” as a dimension of reality that subsists with the actual but is irreducible to it. In 2001, Prof. Lévy wrote the book Cyberculture.

Prof. Pierre Lévy currently teaches at the communication department of the University of Ottawa (Canada), where he holds a Canada Research Chair in Collective Intelligence. Prof. Lévy is also a fellow of the Royal Society of Canada and has received several awards and academic distinctions.

In addition, Prof. Lévy is also a Researcher at CREA – Ecole Polytechnique, Prof. UQAM, Maître de conf Paris-X Nanterre Scientific counsellor and founder Trivium SA (1992-1997), Inventor: Arbres de connaissances, Prof. Paris-8 St Denis, Prof UQTR, Canada Research Chair in Collective Intelligence (2002-2016), Prof. University of Ottawa, Inventor: IEML

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
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
Computational Intelligence & Security Risks
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools

The post Powering Collective Human Intelligence appeared first on Risk Group.

Heath Houston, President of Vigor Health Technologies based in the United States participates in Risk Roundup to discuss Health and Fitness Wearables.

The science and technology advances in wireless communication and sensor networks have enabled the design of affordable, accessible, smart, and small medical sensor nodes that can be strategically placed near the human body, on the human body, and perhaps inside the human body.

As a result, with the improving effectiveness in design, these smart medical sensor wearables create a wireless human body area network that can monitor various physiological vital signs for a specified period of time to provide real-time feedback to the patients and physicians.

This emerging real-time potential and promise of human health wearables are on their way to revolutionize human health monitoring and bring healthcare much-needed transformation, in the way they do many things.

As the potential of human health wearables is likely to lead the healthcare industry to a future of countless possibilities, it is important to evaluate not only how health and fitness wearables will fundamentally transform human healthcare, but also what complex security challenges it brings to patients and physicians.

• Future of healthcare monitoring
• Wearables and transformation of healthcare services
• Future of health monitoring services
• Current trends
• Wearables market
• Current issues and obstacles
• Security challenges
• Wearables standards
• Manufacturing guidelines

As we enter a new age, where connected technology will not only be applied as wearables on human bodies but will soon be merged with them for many different applications inside the human body and or near the human body, it is important that we evaluate its associated security risks. Time is now to talk about health and fitness wearables security risks!

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

Heath Houston is the President of Vigor Health Technologies based in the United States. His goal is that everyone should be able to afford a wearable to assist with their long-term health and fitness.

To accomplish this goal, four years ago in the US, he launched Nuband, a global fitness wearable brand that has become a mainstay in the mid-tier retail distribution channel with retailers such as JCPenney, Sears, and Boscov’s. Due to our success with Nuband, they created two divisions – Nuband Team and Vigor Health Technologies.

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

Copyright Risk Group LLC. All Rights Reserved

Health and Fitness Wearables

The post Health and Fitness Wearables appeared first on Risk Group.

Lars Wood, CEO of QAI Swarm based in the United States participates in Risk Roundup to discuss Collective Machine Intelligence.

As we witness an unprecedented convergence of technological advances in processing power, interconnectivity, cheap data storage, high fidelity rendering, physics simulations, natural language technologies, blockchain, and more, it is important to understand and evaluate what the technological convergence means and why it matters today in cyberspace, geospace, and space (CGS).

The technological convergence matters because it allows us to embed individual intelligence (be it human or machine) in shareable concepts, and sharing; connecting, and integrating sources of knowledge, information, and intelligence from cyberspace, geospace, and space is behind everything we humans have done in the past, are doing today and will do in the coming tomorrow.

When we look back at how knowledge and information sharing from CGS has evolved since the beginning of times–from drawings and scribes, printing press and newspapers, libraries, radio to mass broadcasting, web search engines to ever-increasing amounts of data and digital content in many different formats; we are witnessing silent information and intelligence revolution that is rapidly moving towards data-driven insight across CGS, and in the process powering collective human intelligence to collective machine intelligence.

This silent intelligence revolution and evolution, which has brought us the potential and transformation of information sharing and intelligence gathering of any diverse topic and goals irrespective from cyberspace, geospace or space, this shift from individual to social to technological platform through connected computers, is leading us to a world where intelligent connected machines can now play an increasingly dominant role; as not only collaborators, creators, and containers of collective human intelligence and machine intelligence, but also as human representatives capable of using that information on behalf of humans in many different roles.

This fundamental transformation changes human relationships with knowledge, information, and intelligence and raises profound implications for the future of the human experience and endeavors across CGS. It is important to evaluate this further:

• Knowledge Sharing and connected computers
• Machine learning and deep learning
• Human Intelligence and Machine Intelligence
• Collective Machine Intelligence

When we look back at how knowledge and information sharing have evolved in many different formats, it’s remarkable to be witnessing a silent revolution towards collective machine intelligence. It is time we evaluate the security risks of the silent revolution towards collective machine intelligence!

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

Lars Wood is the CEO of QAI Swarm and is based in the United States. His innovative career spans patented ANN algorithms, advanced microelectronics, thermonuclear and quantum physics, super-computing machines, condensed matter physics, superconducting electronics, subatomic matter visualizations, “Smart Molecule” drug discovery where molecules use supramolecular forces to make decisions about their biological activity. His patented ANN science was the first to solve a non-DARPA large-scale DoD military challenge thought to be impossible generating hundreds of millions of dollars for GTE (GD/Verizon). CIA GoTo for unyielding agency technical challenges. He is also the Founder and director of the GTE-GS award-winning Advanced Machine Intelligence Laboratory. Granted 8 ANN foundational patents, received the highest research award in competition with the founders of ML and AI. He is also a Visiting scientist at MIT, JPL, CIA, SCF, XILINX, SFI, DOS, FBI, LANL, NSA, NRO, DISA, DIA, Whitehouse.

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
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
Computational Intelligence & Security Risks
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools

The post Collective Machine Intelligence appeared first on Risk Group.

Dr. Mark Kiel, Founder and Chief Scientific Officer of Genomenon based in the United States participate in Risk Roundup to discuss Diagnostic Genomics and Security Risks – Genomic Search Engines and Genome Interpretation.

How is Human Disease Genomics transforming medicine? It is said that this is the best of times for Human Disease Genomics. In the coming years, due to advances in technology, massive genomic data sets from human patients and controls will likely be created and stored.

Along with the advanced mechanisms for the creation, storage, analysis, integration, and interpretation of a wide variety of genomic data types, Medicine and Healthcare will likely go through fundamental transformation and revolution. As a result, we will see continued growth in the number of disease genes identified. In addition, we will also develop a deepening of our understanding of the fundamental genetic architecture and human disease states. So, what will be its impact?

• What will be the meaning of human disease genomic data?
• What would be required to understand and evaluate massive genomic data?

It seems that because of the massive increase in genomic data creation and availability, the race to build a search engine for Human DNA is on its way. It is important that we evaluate the strategic impact and complex security risks that emerge with the availability of massive human genomic data and the accessibility that Genomic Search Engines provides.

As genome companies are trying to be the search engine for personalized medicine, it is important to evaluate its impact and strategic security risks. Time is now to talk about Genomic Medicine, Personalized Medicine, Genomic Search Engines, and Security Risks!

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

Dr. Mark Kiel MD, PPh.D. is the Founder and CSO of Genomenon. He practiced as a molecular pathologist at The University of Michigan and has extensive experience in genomic analysis and the clinical application of genomics.

Dr. Kiel completed his medical residency in Clinical Pathology in 2014 and a fellowship in Molecular Genetic Pathology in 2015 at the University of Michigan before starting Genomenon. He has an exemplary record of scientific research including publications in Cell, Science, and Nature for which he has won numerous international awards.

He has extensive experience in genome sequence analysis and has first-hand knowledge of the clinical use of these data. He envisioned the technology underlying the Genomenon suite of software tools.

Dr. Kiel has extensive experience in genome-sequence data analysis and first-hand knowledge of the clinical use of these data. He serves in an advisory position to a number of research investigators and clinical diagnosticians nationwide and devised the technology underlying the Genomenon suite of software tools.

Risk Group is a leading strategic security risk research and advisory 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
NanoSatellites & Democratization of Space
Healthcare in Turmoil
Space Mining
Space Security
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 Diagnostic Genomics and Security Risks appeared first on Risk Group.

Dan Ledger, Founder of Path Collaborative based in the United States participates in Risk Roundup to discuss the Future of Wearables And Security Risks.

When the wireless technology industry moves at the speed of light, what will be its impact on the existing and emerging initiatives in cyberspace, geospace, and space?

It is said that of the many initiatives that will be impacted across cyberspace, geospace, and space; perhaps the impact on wearables is expected to be profound. From fitness trackers to smartwatches, smart glasses to health trackers; wearables technology today, is rapidly moving towards a tomorrow of not only efficiency, affordability, and functionality; but also speed and size that is fundamental to support tracking and other desired functionality.

As the potential of wearables is likely to lead nations to a future of countless possibilities, it is important to evaluate which advances in technology are empowering wearables to collectively become faster, smaller, and effective.

As we enter an exciting new age, where technology will not only be displayed on human bodies but will one day even be merged with them, it is important that we understand its impact and evaluate it further. Time is now to talk about Wearables Security Risks!

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

Dan Ledger is the founder and principal at Path Collaborative, a strategy consulting and research firm that helps companies identify and pursue emerging opportunities related to health, athletic performance, and wellness.

Prior to forming Path Collaborative, Dan was a principal at Endeavour Partners where he led a great several consulting projects and research related to wearable technology, connected health, and IoT.

He has advised numerous startups, larger service providers, and OEMs on product definition, service design, ecosystem strategy, and go-to-market planning within this space. Dan has appeared on NPR, Bloomberg, and CNN talking about the future of wearable technology. His research in wearable technology has been covered by GigaOm, The Guardian, Fast Company, Fortune, Forbes, TechRepublic, and CBS. Dan has multiple engineering degrees from Washington University in St. Louis and a Master’s degree from MIT.

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

Copyright Risk Group LLC. All Rights Reserved

Future of Wearables

The post Future of Wearables appeared first on Risk Group.

Joseph Jones, Co-Founder and Chief Technology Officer of Franklin Robotics based in the United States participate in Risk Roundup to discuss Agricultural Robots.

Since technology helps us solve the complex challenges facing humanity, and has become the most important driver for change, no nation or its industries can imagine survival, success, or sustainability without integrating technology to change the way they do things. The agriculture industry is no exception!

From robots to drones and the internet of things, technology seems to be fundamentally changing the agriculture industry. As technology tries to change the way we do things and solve the complex challenges facing the agriculture industry, it is important to understand and evaluate:

• Technology trends
• Agriculture industry transformation
• Agricultural robots

In the coming years, the biggest challenge facing the world is likely going to be, to produce enough food to feed the growing world population. However, the reality of the agriculture system today is that across many nations, the farming system is complex, inefficient, low-yielding, fragile, and highly heterogeneous.

Amidst the poor performance and productivity, agriculture robots bring a promise of great potential to manage the complex challenges facing the industry. While the ability to create autonomous intelligent robots with perception, cognition, and action, that are affordable, accessible, effective, and could manage the complex challenges facing the agriculture industry is real, clear, and near, it is important to evaluate the complex challenges that come with industrial automation.

Time is now to talk about Agricultural Robots and their associated risks!

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

Joseph Jones is Co-founder/CTO of Franklin Robotics.  His primary interest is the practical application of robotic technology to real-world problems.

Previous experiences include co-founding Harvest Automation, proposing and developing iRobot’s Roomba, and serving on the research staff at the MIT AI Lab. A graduate of MIT he holds 60+ patents.

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
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
Computational Intelligence & Security Risks
Business Logic Monitoring and Automation
Societal Impact of Robotics
Enterprise Digital Intelligence Risks – Need for Smarter Search Tools

The post Agricultural Robots appeared first on Risk Group.

Prof. Thomas A. Furness III, an inventor, professor, and virtual reality pioneer based in the United States, participates in Risk Roundup to discuss Virtual Reality. Known for his contributions in developing human interface technology, Prof. Furness has earned the title, “Grandfather of Virtual Reality.”

It is said that everything that we know about our reality comes by way of our senses. We, humans, have a multitude of senses and our human nervous system has a specific sensory nervous system, and a sense organ, dedicated to each sense.

If the senses like taste, touch, smell, sight, and hearing; and the associated perception systems are there, right from the day we are born, then the entire experience of human reality is perhaps simply a combination of sensory information and our brain’s sense-making mechanisms for that specific information.

• Does this mean that the world we know is perhaps purely a simulated reality?
• What would happen if we present our senses with made-up information about cyberspace, geospace, and space (CGS):
• Would the perception of reality in CGS also change in response to the simulated CGS feed?
• Would being presented with a version of CGS reality that isn’t there, but is perceived as real, bring us a transformative potential?
• Would living in an imaginary world help us solve complex problems that we face in cyberspace, geospace, and space?

Virtual Reality technologies bring promising potential. While they are currently used to stimulate virtual worlds in gaming (largely) and education (some places); when we are able to combine them with physical elements, sensory stimulation, and more; Virtual Reality will likely become an alternate universe with tremendous potential.

All signs point to a future filled with Virtual Reality. The potential applications are expected to be beyond count. Amidst that, it is important to evaluate the perils of Virtual Reality applications that are emerging across nations as we march forward with the promise and potential of Virtual Reality technologies.

Time is now to talk about Virtual Reality risks!

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Prof. Thomas A. Furness III is an inventor, professor, and virtual reality pioneer based in the United States. Known for his contributions in developing human interface technology, Prof. Furness has earned the title, “Grandfather of Virtual Reality.” He is a Professor in the University of Washington Department of Industrial & Systems Engineering, and the founder of the Human Interface Technology Lab at the University of Washington and its sister labs at the University of Canterbury and University of Tasmania.

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