This article defines what a digital twin is, and suggests where technology is headed in our increasingly interconnected world.

What is a digital twin?

Digital twins are virtual replicas of a physical product, process, or system that bridge the physical and digital worlds. Interestingly, the concept of digital twin technology has been around for longer than you may think. When the Apollo mission was developed, scientists at NASA created a digital twin to conduct experiments on the clone before the mission started.

Today’s digital twins use sensors to collect real-time data about a physical item, which is used to create a virtual duplicate of the item. The digital duplicate can be optimised, manipulated and analysed to test different scenarios in a risk-free environment. Digital twins also integrate artificial intelligence (AI) and machine learning (ML) to bring together data, algorithms, and context. This enables organisations to:

• Get new answers to new questions

• Test new ideas

•  Uncover problems before they happen

•  Monitor items remotely

The advantages of digital twins include:

• Virtual representation of a virtual ecosystem map of assets across operations and business processes using accessible, real-time data flowing across connected systems helps automate workflows, mitigate risks, and drive greater sustainability.

• Data intelligence allows for constant monitoring of any entity, system, or device, shared to interactive dashboards in real-time. This thread of corresponding data allows organisations to overcome data and organisational silos to truly understand how well their operations are performing.

Secure components of digital twins can be shared with various stakeholders in the ecosystem, enabling better collaboration and communication, regardless of location.

How are digital twins being used today?

In the past, digital twins were used to improving the performance of single assets, such as wind turbines or jet engines. These days, they connect not just one asset, but systems of assets and devices or even entire organisations. As they combine more and more assets with information about processes and people, their ability to help solve complex problems is also increasing.

Digital twin energy management

Energy management platforms such as Smarter Technologies’ SmarterView essentially create a digital twin of the energy profile of a smart building. Before making changes to the physical environment, energy managers can manipulate energy consumption in the digital realm to assess its impact and make decisions accordingly. For example, one could test the effect of replacing an old appliance or piece of equipment with a new model that’s more energy-efficient and see how long it would take for the upgraded model to pay itself off.

Product development

Using digital twin technology, organisations can predict future performance and analyse potential process failures of a product, even before the final design is approved. This scenario-based testing allows engineers to predict the failures and risks and apply mitigation in simulation labs.

Asset management

The digital thread produced by digital twins enables data flows. It provides an integrated view of asset data, helping to optimise product life cycles by identifying gaps in operational efficiencies and producing a wealth of process improvement opportunities.

Healthcare

By creating a digital twin of a hospital, doctors, hospital administrators, and nurses can get powerful, real-time insights into patient health and operational workflows. For example, by using sensors to monitor patients and coordinate equipment and staff, hospital staff can offer a better way to analyse processes and alert the right people when immediate action is needed. This results in reduced emergency room wait times and improved patient flow, which decreases costs and improves patient outcomes.

By the end of this decade, scientists may even come up with a fully functional digital twin of a human being that can help make massive strides with medical research, drug testing and proactive injury prevention.

Commercial real estate and building management

Digital twins allow building operators to bring together previously unconnected systems to gain new insights, optimise workflows, and monitor processes remotely. The technology can also give occupants more control over their personal workspaces and environmental conditions, thereby enhancing their experience. By optimising building systems using digital twins, operators can reduce costs, avoid future costs, increase occupancy rates, and improve the overall asset value of the building.

Supply chain optimisation

Supply chains have undergone massive disruption and instability in the last few years in the wake of the COVID-19 pandemic and the war on Ukraine, with shortages of raw materials, and finished products impacting daily life. Supply chain visibility has become more important than ever before. Deploying digital twin technology enables companies to digitise their end-to-end supply chains, using intelligence to automate and optimise operations, reduce risk, and increase on-time delivery.

What is the future of the digital twin?

For companies and organisations already using smart technology, digital twins are the next step in the digital journey. Today’s digital twin technology can be used in new and mature ways, integrating smart sensors, AI, and ML to solve the most prominent organisational challenges, while improving efficiencies, optimising processes, detecting problems before they occur, and innovating for the future. It’s important to note, however, that maximising the usefulness of digital twins requires high-performing databases that can pull together and process various data sets in real-time. If your organisation is interested in producing not only better business outcomes, better environmental outcomes, and better social outcomes, digital twins are undoubtedly worth exploring.

About the author: Matthew Margetts is the Director of Sales and Marketing at Smarter Technologies. His background includes working for blue-chip companies such as AppNexus, AOL/ Verizon, and Microsoft in the UK, Far East and Australia.

The post How Businesses Can Make Use of ‘Digital Twins’ Technology appeared first on OpenBusinessCouncil Directory.

A thought leader and a preeminent authority, Professor Lisa Short has led multiple frontiers in digital technology systems, design thinking, education, and removing disparities. On the latest episode of citiesabc’s podcast with Dinis Guarda, Prof. Short shares some inspiring insights of her journey through business and technology and spreading empowerment across the globe.

Professor Short began her career with a small business, after her early education in accounting and financial management. This initial venture helped her understand the importance of building relationships and establishing an ecosystem for a business to thrive. Over the course of her entire career of 35 years, Prof. Short has been able to bring a transformational change using powerful technologies like blockchain, cryptocurrencies, AI, and IoT.

“Technology is not about technology, it’s about making the lives of people better, businesses better, more profitable, better jobs, and better, healthier, and more productive people”, she tells Dinis.

She was granted her professorship from the University of South Africa, for her years of dedication and hard work in bridging education, technology, and business. She explains to Dinis that it is her driving passion for technology, and establishing its relevance in business and other fields. She states, “I’m a rogue academic, really, that likes to drag an academic world that is sitting 30-50 years behind the rest of the development of the world and drag it to the table of innovation, and get them to connect with industry”. She is currently associated with the Global Market Acceleration program by La Trobe University in Melbourne, where she is the Adjunct Professor. This industry-led program intends to bring together industry experts worldwide, and facilitate the acceleration of businesses to the international markets.

More Interviews

James Zhang, CEO The Concept Art House – Games, Art And NFTs

Adam Hollander, Serial Entrepreneur, Pack Leader at Hungry Wolves – NFT, Gamification

Interview with Rishi Kapoor, Founder & CEO of paus.tv – The Revolutionary Streaming Platform For Independent Creators

Interview Kireet Khurana, Filmmaker & Creator Of Animation Film “Toonpur Ka Superhero” – Homelessness In India: The “Invisible Visible”

Pedro Gadanho – Architecture, Arts, Cities & Society – Former MoMA & MAAT Curator, Architect

Susan Oh, Future of AI, Blockchain; Blockchain For Impact Global Summit @ UN HQ, Top 10 Frontier Women in Digital

Halfway through the interview, both experts reached a tipping point when Dinis asked her about her work in Africa and in EdTech, and how she took technology as leverage and made impactful moves in various fields.

“I’m called a design ecosystem thinker. I look at the touchpoints, look to see the weaknesses, and look to see how we can improve those connections. That’s where I see myself as sitting between these two worlds of frontier technologies and businesses.”

With podcast as the medium, she pointedly drew attention to the inconsistencies and disparities amongst the systems around the world. Social, economic, and gender-based inequalities that exist worldwide are her areas of concern that can use technology to bring awareness and sustainability.

Being part of some of the outstanding projects like Social Impact Exchange, Prof. Short has utilised her acumen to benchmark some of the most remarkable principles in making a social impact.  “Work in the humanitarian space is really the driver for me because this is about people, and how we can empower them so that everybody has something- access to resources, to live in a safe environment, etc.”. Prof. Short is applying similar principles while working for the Ukraine Development Impact Bond.

Giving examples of her work for African women in agriculture, she explains that technology can empower women and businesses to achieve some of the most unimagined heights of growth and prosperity. It is her firm belief that it is high time that the technologies that are meant to benefit all must be accessible to all. She emphasises, “We are in such a rapid rate of change now, we are talking about smart cities. It’s so critical at this point that we have level playing fields of conversation. It’s not just about ROI, this is about a world moving forward”.  

Dinis was appalled when Prof. Short revealed the disturbing statistics about gender bias in business and entrepreneurship. She emphasised that much of the resources could be redirected by shunning the biases for making a thriving ecosystem for all.

However, she is optimistic about the current situation and spreads a very positive light on the grim situation, “I don’t say we can’t make a change, we can. But, we have to be honest about what we see. We’ve been talking about Smart Cities, it’s a social contract. It’s not about the technologies, because technologies haven’t created that inequity, we have, people have. We can use these technologies to empower us”.

About citiesabc.com
https://www.citiesabc.com/​​​​​​​​​​​
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About openbusinesscouncil.org
https://www.openbusinesscouncil.org/

4IR: AI Blockchain Fintech IoT Reinventing a Nation by Dinis Guarda and Rais Hussin (4irbook.com)

Dinis Guarda citiesabc openbusinesscouncil Series is also available as podcast on

Apple Podcasts: https://podcasts.apple.com/us/podcast/dinis-guarda-citiesabc-openbusinesscouncil-series/id1510330391

On Spotify: https://open.spotify.com/show/1vA8KaDaRpJ0mAfpNbfTSF?si=H_WngL4RSOyu1W7VAmM41w&dl_branch=1

Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5idXp6c3Byb3V0LmNvbS8xMDMyMzg4LnJzcw==

Amazon Music: https://music.amazon.com/podcasts/953a5156-823c-4e86-baeb-4fda1128e44c/DINIS-GUARDA-CITIESABC-OPENBUSINESSCOUNCIL-SERIES

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post Professor Lisa Short with Dinis Guarda at Citiesabc Podcast on Technology, Business, and Disparities appeared first on OpenBusinessCouncil Directory.

As the technology evolved, the world transitioned smoothly from wired phones to pagers, mobile phones, and smartphones. Similarly, the paradigm has shifted in almost every sector- fashion, retail, gaming, events, and whatnot. The growing interest in technological advancements is gauging society for a phenomenon called the Metaverse that promises to boost every life experience in unimagined ways.

A vision that defines the next chapter in the evolution of the internet, the Metaverse is an immersive digital world that allows its participants to interact and engage in many different ways. The term has been in flux for the past few years. Still, in its infancy, the concept is evolving with the passing of time.

Hype or the reality of the future, the interest in the metaverse continues to grow over time. From gaming to NFTs, real estate, tourism, and shopping, the metaverse buzzword keeps repeating itself with newer and fancier versions everytime.

With ample business opportunity involved with Metaverse, prevalent names in the market like Qualcomm, Nvidia, Epic, HTC, and Apple are entering the space innovatively. As a motive to expand the ingression of Metaverse in our lives, Microsoft planned the acquisition of ActivisionBlizzard for $69 billion. World-building games like Minecraft and Roblox, events like the Fortnite concerts, and platforms like Enjin and Sandbox- all these are efforts to gear up society for a ‘Metaversive’ future.

The role of technology in empowering the Metaverse business

A clear understanding of driving technologies enriches the quest for the metaverse to be ethically uniform and fair for all. In other words, creating an interoperable space that is accessible equally to everyone could prevent the limitation of the conventional internet space- the dominance of biggies.  Now, this quest directs the businesses in an impactful way, aiming for a booming digital economy.

Further, understanding the technology behind the Metaverse also governs the economy of adoption of that technology for the business. For instance, currently, the average cost of an app design in the USA is $48,000, which definitely would increase with its demand. This, therefore, is an imperative parameter to factor in.

What started as a gaming space on the internet has now grown into a massive opportunity for almost every vertical of commerce. The nature of the content, thus, has changed altogether in the vast space. Creating quality content that is immersive for the users would entirely depend on the progress of the technology here.

Here are the five major technologies that are empowering the Metaverse towards a brighter future:

Artificial Intelligence

As of late, AI and automation have been broadly applied to our lives. From arranging business procedures to giving out driving instructions, facial recognition, and so on, AI applications include managing operations like anomaly detection, event correlation, and predictive alerting. This can be made even more accurate with the combined use of Big Data and Machine Learning.

Implementation of AI has spread its influence to the formation of vivid metaverses, enhancing user experiences by creating Metaverse assets like buildings, landscapes, avatars, and character routines. AI could be employed to accelerate the software development process. This could be beneficial to creating complex Metaverse assets even when the resources are limited.

AI could also be used for improving efficiency by employing its capabilities to communicate and comprehend the users. Warning, for example, the user to stay alert while performing difficult tasks. This bridges the real-time users closer to the metaverse environments.

Blockchain

A technology built on strong foundations of security and transparency, blockchain provides a decentralised platform that ensures digital collectability, value transfer, governance, interoperability, and convenient accessibility.

Cryptocurrency, the fungible feature of the blockchain, is the primary way to trade for goods and services inside the Metaverse, ensuring no regulations and interventions in transactions. For instance, Decentraland allows the purchase of virtual property using crypto, MANA.

It is also a way to incentivise the users, especially the ones working within the Metaverse. Additionally, Metaverse supports (and enhances) job and business opportunities. This favours the increasing remote working culture across the globe.

AR and VR

Even though Metaverse does not necessarily depend on these two technologies, they offer an enhanced Metaverse experience to the user. While AR utilises digital visual components and characters to integrate the virtual world with the real one, VR provides more immersive features using 3D modelling techniques. Components like optical projection systems, headsets, sensors, gloves, and display systems.

By creating virtual environments, these technologies mimic real-life situations. Meta (formerly Facebook) invested in Oculus quest (VR headsets) to enter their Metaverse. The app can be accessed using smartphones and does not require a computer system.

“Augmented reality will change the world more than a lot of other technologies. Travelling around to meet people will be much less important when you can stand in a room and chat with a virtual representation of a person that’s so close to reality – it’ll be a whole new level.” –Tim Sweeney, CEO and Co-Founder Epic Games.

The harmonious relationship between AR and VR has successfully created an early model for the Metaverse. With the expansion of technology, a more interactive and experiential Metaverse environment will evolve.

Internet of Things (IoT)

IoT enabled devices can help solve some of the real-world problems effectively in the metaverse. This gives an opportunity to accurately integrate the complex systems over the existing framework of technology. For instance, enhancing the user experience by using the 3D user interface over mobile phones and computers, customised as per users’ interests and preferences.

Thus, IoT can bridge the real world with that of the internet, using sensors and devices as the connecting link. These devices have the capacity to send or collect data naturally. Indoor regulators, clinical devices, facial recognition, voice-actuated speakers, thermostats, and many others provide a wider scope of information. The data, thus, collected would enhance the precision for an advanced representation, for example, altering the function of Metaverse collectibles based on current weather conditions. This ensures a better immersive nature of the space.

Big Data and Data Analytics

Even when data science technologies do not contribute to the development of the Metaverse, the data science process definitely will. Data processes like analytics could be helpful in managing Metaverse-based events, like building a 3D avatar, or a virtual stage. Similarly, data collected (like current trends and events) could be used to forecast using predictive analysis tools and also for decision making.

The “Metaversive” future

Rapid enhancement in technology over the past few decades has manifested the notion that nothing is impossible, even the 3D virtual Universe popularly known as the Metaverse.

“The technology will be so good it will be very hard for people to watch or consume something that has not in some sense been tailored for them.” -Eric Schmidt, Google Chairman.

It is not hard to imagine a highly interactive and interoperable space where the users have immense freedom to get immersed in it. Still, in the very early stages, it is hard to predict the development materialises or the impact it will have on society as a whole. As of now, the audience is yet to witness how this realm unfolds itself for its users.

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post Top 5 Technologies Powering The Metaverse appeared first on OpenBusinessCouncil Directory.

Imagine that data could be shared seamlessly with partners, governments, and other organisations, without breaking any data protection law, to facilitate innovation. How will it be possible to use closely guarded customer data while still maintaining the highest privacy and safety standards? Is it possible to monetise data without compromising the sensitivity of the information (or data)? The following write-up spills it all.

Data is the fuel for the rapidly progressing Artificial Intelligence (AI) industry -as it is for almost all other industries. Digitisation, interconnection of the network channels, and IoT generate mountainous volumes of data at an unimagined and unprecedented scale. IDC predicts that more than 175 zettabytes of data will be available by 2025, growing at an exponential rate. Thus, unbelievable data would be available, and accessible to all. However, there are still a huge number of AI innovations and projects that do not reach the stage of viability, owing to an insufficient amount of data.

The inaccessibility of authentic data for innovation and AI

Accurate data collection and processing is extremely straining in terms of expenses and time. While certain sectors like financial services, telecom, healthcare, internet companies, retail, etc, are in direct contact with the customer data, this access is restricted only to these touchpoints.

Then there is another category of data that is fragmented and siloed. Stringent regulations like GDPR watch over the sharing of data that can be processed only with user consent, strictly for lawful purposes. Data security measures are another reason that restricts data access over a larger scale. The data related to Research and Development requires regular hypothesis testing. This is, thus, another challenge pertaining to the presence of any real-time data from the field.

While AI projects require deep learning and innovation are constantly ravenous for large volumes of data, both structured and unstructured, to train models. Scarcity and huge expenses for labelled training data make it difficult to make it available for AI.

These challenges decelerate authentic data monetisation and realisation of benefits (from innovation and business). This is a major reason for many great projects to never even see the light of the day. While alternatives like data masking, anonymisation, and obfuscation ensure data security and privacy to abundant data, synthetic data is a preferred choice when data is scarce.

Synthesising data

Data generated as a result of using computer algorithms and simulations to the real-time data is synthetic data. Digitally synthesising data reflects the real-world either statistically or mathematically. Simply put, the data is generated by reproducing the statistical properties and patterns of the existing real-time datasets. This is done by modelling the probability distribution of these datasets and sampling them out. Essentially, the algorithm creates a new dataset with the same characteristics as the original data.

Although this synthesised data lead to the same answers, is it almost impossible that the original data can be ever reconstructed from either the algorithm or this synthesised data. Thus, synthetic data is almost as potent as the original data with equal predictive power. It further carries no baggage of privacy concerns or restricted usage of any kind.

Synthetic data is being increasingly employed for a wider range of applications. For instance, Syntegra is using its synthetic data generator to create and validate an anonymous replica of NIH’s database. This database has a record of more than 2.7 million individuals that have been screened for COVID-19 and more than 413,000 patients that have tested positive. This synthetic data set duplicates the real-time data quite precisely. Due to its anonymous nature, the data can be conveniently shared and used by researchers and medical professionals worldwide. A remarkable step to accelerate the progress in research for COVID-19 treatment and vaccines.

The AI team at Amazon uses synthetic data on Alexa for training its NLU system (National Language Understanding). Consequently, new versions of Alexa in three new languages have come out: Hindi, Brazilian Portuguese, and US Spanish. This invalidates any further use of large customer interaction data. Synthetic data is also being used by Waymo, a Google company, to train its autonomous vehicles. Synthetic data technology is extremely useful for American Express to enhance its fraud detection capabilities.

Synthetic data could, therefore, fill in the gaps that are hindering the evolution of AI technology. These are proving increasingly helpful in creating inexpensive, yet accurate, AI models. According to MIT Technology Review, Synthetic data for AI is among the top 10 breakthrough technologies in 2022. Analyst firm Gartner predicts: “By 2024, 60% of the data used to develop AI and analytics projects will be synthetically generated. The fact is you won’t be able to build high-quality, high-value AI models without synthetic data.”

Potential challenges

With compelling benefits, authentic and accurate synthetic data generation requires truly advanced knowledge and specialised skill sets. Further, the required sophisticated frameworks should be put up to enable its validation and alignment with the objective.

It is critical that the synthetic data generated does not relate to or expose the original data set in any way, while it should match the important patterns in the original. Failing would result in either overlooking potentially larger opportunities or generating inaccurate insights for any subsequent efforts to model the data.

For the AI models that have been trained on synthetic data generated by simply copying the original one, there is always a risk that inherent historical biases might creep in. Complex adjustments are, therefore, necessary for a fairer and more representative synthetic data set. Hard, yet achievable.

For the synthetic data generated that has been optimised on a predetermined abstract of fairness, the resulting dataset accurately reflects the original one while still maintaining inherent fairness. So, no bias mitigation strategies are needed, with no compromise on predictive accuracy.

The certainty of synthetic data in AI’s future

“There is a risk of false, early-stage perceptions surrounding the use of synthetic data in some circles. This is most likely due to the naming of the term itself, as anything ‘synthetic’ might naturally be thought of as plasticized, non-organic, or in some way fake. But, of course, there should be nothing more natural than machine learning tuition being driven by machine intelligence. Properly generated, managed, maintained, and secured, synthetic data’s level of bias handling, safety, privacy, and cadence represent a significant accelerator and enabler for the AI capabilities of tomorrow”, Nelson Petracek, CTO, TIBCO Software.

Already being used in healthcare (for training the machines to monitor a patient’s post-op recovery), security and surveillance (for detecting a suspicious object or behavioural pattern), and delivery drones, synthetic data is progressively making an accelerated advancement in its evolution.

Synthetic data, surely, is synthetic in origin, but it has real-world DNA to it. Its validation and application are unbelievably tangible, pragmatic, and multifarious. Nevertheless, it is, in fact, a reality we all exist in.

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post The Shift In The Paradigm To Synthesise Data For A Data-Driven AI Industry appeared first on OpenBusinessCouncil Directory.

tMonitor Interview Focus:

1. Can you tell us from you and your background?

2. Can you tell us about tMonitor and focus?

3. Can you explain the product and services offering and how do you work?

4. tMonitor pioneers innovative air monitoring products, services and technologies that lead to improved air quality indoors. Can you tell us about the way your offerings work?

5. You use IoT and ML to highlight best solutions to air control and data driven sustainability initiatives. Can you tell us about it?

6. Both ambient (outdoor) and household (indoor) air pollution are responsible for about 7 million deaths globally per year; in the Western Pacific Region alone, around 2.2 million people die each year. In Vietnam, around 60 000 deaths each year are air pollution-related. Can you tell us how tMonitor uses artificial intelligence to understand pollution and how these insights can work to improve cities and countries?

7. You have strong case studies around your product. Can you tell us some main case studies?

8. Can you tell us how you are expanding internationally and how can people find you?

More Interviews

Bobby Lee Interview – Bitcoin Pioneer, Founder of World’s Longest-Running Crypto Exchange, Author The Promise of Bitcoin

Andrea Bonaceto – NFTs And Collaboration with Sophia the Robot, Artist, Founding Partner at Eterna Capital

Dinis Guarda Interviews David Hanson; Top World Roboticist And The Creator Of Sophia The Robot

Interview with Ben Goertzel Founder SingularityNet, OpenCog – Benevolent And Open AI, What Kind Of Evolutionary Mind Can We Engineer?

Explaining Wholistic Wellbeing: Dinis Guarda Interview RoundGlass CEO Sunny Gurpreet Singh

tMonitor Interview Highlights

tMonitor is a smart hardware and software air quality monitoring solution to enable the short & long term control of all factors affecting community health, ensure safety, boost labor productivity, and ensure the compliance to both international and Vietnamese regulation standards.

In addition to helping people troubleshoot airborne pollution in their homes, tMonitor has empowered organizations to safeguard occupant health and champion data-driven sustainability initiatives. tMonitor deals with a sudden and significant negative event, effectively handles the air quality crisis regardless of the scale with pre-planned scenarios to do the right escalation, limiting the damages and even preventing further damages.

tMonitor provides you with the most advanced technology designed to help you make the right choices and improve your well-being. The 13 air quality parameters we monitor use safety thresholds indicated by the EPA and WHO.

tMonitor doesn’t just tell you what’s bad. It detects toxins and tells you the exact air quality parameters that are unhealthy all in real time. Imagine having a small box of 6x3x3 inches powered by IoT and Machine Learning to build resilient and sustainable businesses by creating healthier indoor workspaces for everyone with better air quality and safety, thus improving productivity.

Links & Sources

https://www.openbusinesscouncil.org/wiki/tmonitor/

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post Nam Vu & Nghia Tran, CEO And Founder at tMonitor.live – IoT and ML To Monitor Air Quality In Vietnam appeared first on OpenBusinessCouncil Directory.

The most powerful engine of progress is laziness! Thanks to it, multicooker, robotic vacuum cleaners, and automatic dishwashers appeared, which have long taken over household chores. However, these inventions are not autonomous and cannot function without the participation of a person who must control the operation of equipment, buy, and replace consumables.

But what if Homo sapiens becomes an unnecessary link in the processes brought to automatism? These are the prospects for the development of the Internet of Things.

Internet of Things: what is it?

This is the concept of a computing network of physical objects (things) that interact with other devices or with the external environment using embedded technologies. The Internet of Things is a fully automated cycle of devices and systems by connecting them to a wireless network.

The concept of the Internet of Things assumes a machine-to-machine interaction with minimal human participation.

Where is the Internet of Things used?

– Safety. The introduction ofIoT technology into the security system will allow scanning and sending photo and video data, and artificial intelligence will be able to remember and recognize people.

– Household. TV, refrigerator, printer, and the entire smart home system can be brought to full automation. With the IoT connection, a person will get rid of obsessive thoughts (did he forget to close the door or turn off the stove) – all information can be seen in the smartphone and remotely run the unfinished algorithm. A “smart” vacuum cleaner will notify you of the found gold earring, which rolled behind the chair.

– Industry. Production will become automated: monitoring systems will notify about possible problems and malfunctions of equipment, and the client will be able to fulfill the order remotely.

– Medicine. The Internet of Things is needed to personalize devices that help study and monitor a person’s vital signs, and, if necessary, call a doctor.

– Transport. There will be no traffic jams in the world of the Internet of Things – the network of sensors and sensors recognizes the congestion and optimizes the operation of transport channels.

– Retail trade. Conventional stores will once again compete with online boutiques – automatic transmission and analysis of customer information through a POS terminal will be established.

VPN as a solution to the IoT security problem.

The scope of the Internet of Things is limitless: remote control of smart homes, traffic lights, lighting systems for cities and highways, vehicles without the participation of people, in the end, even pacemakers!

There is no doubt that in this new interconnected world of things and people, the danger of hacking, the introduction of malware, and the loss of confidentiality of personal data increases.

With the invention of the Internet of Things, the amount of data for transmission and storage has multiplied. Moreover, every time one device connects to another to receive or transmit data, there is a risk of losing information and hacking the system, which entails the possibility of identity theft.

There are other issues related to the security of the Internet of Things. For example, when you buy used devices in order to save money, remember that by connecting them to your network, you are very at risk, because they may contain malicious software. Fortunately, there are already solutions to this problem.

To avoid unnecessary hassle or problems, you just need to set up a network for the personal use of devices and routers using a VPN for IoT (here you can learn more about what VPN is and how it works).

VPN uses several different protocols, including top-layer encryption, to provide an end-to-end secure connection from point to point. It also masks the user’s IP address by rerouting traffic through a network of dedicated servers, so that the user can hide their location, ensure data privacy, and defend against attack.

The future of the Internet of Things.

The idea of the Internet of Things was brought up by Kevin Ashton in 1990. The scientist first formulated the term for the introduction of radio frequency tags, the signal of which would cover vast territories. Then the Center for Automatic Identification for the Study of Radio Frequency Identification appeared – this was the beginning of the development of the system.

In 2008, there was a transition from the Internet of people to the Internet of things: more than 6 billion devices with access to the Internet appeared.

Today, less than 1 % of devices worldwide are connected to the Internet of Things, but over time, the number of gadgets will become more and more significant.

It is still difficult to say what the Internet of Things will be like in a dozen years, but there is no doubt that the use of the innovative algorithm will be actively used in the service market and will lead to an increase in the quality of life in all countries of the world, open up promising business opportunities and generally bring a lot of benefits.

Experts predict that by the end of 2021, about 30 billion devices will be used on the Internet of Things, including at least 280 million cars. In addition to household and industrial appliances and vehicles, there will be about 15 million copies of “smart” clothing with access to the World Wide Web.

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post IoT Technology Revolutionising the Way We Live appeared first on OpenBusinessCouncil Directory.

The EDGE network has officially launched as it becomes a first mover in the emergence of edge computing. Designed to be a more cost effective and faster replacement to the cloud, edge computing is expected to address the proliferation of data and connected devices over the coming years, with estimates put at 29 billion connected devices by 2022 and over 75 billion IoT devices by 2025 worldwide.

Furthermore, according to a thorough research carried out by Ericsson, the number of IoT devices have surpassed those of smartphones, with a growing number of connected cars, machines, meters, wearables and other consumer electronics. Likewise, the number of IoT devices with cellular connections is projected to reach 1.5 billion in 2022, or around 70 percent of the wide-area category. This growth is due to increased industry focus and 3GPP standardization of cellular IoT technologies. Cellular IoT connections benefit from enhancements in provisioning, device management, service enablement and security.

The EDGE network is to improve the quality of those connections and make them quicker and more affordable, or, at least, that is what the company is aiming for. “Edge computing will be the answer to the challenges faced by cloud computing as the amount of data and web traffic is set to increase exponentially in the coming years. With EDGE evolving from an already existing business with an established customer base, we see this as the beginning of EDGE network adoption. In the coming months we plan to migrate existing clients to the network, as well as convert an already expansive pipeline of business. At the same time we expect an exponential growth in the number of nodes as more people realise how they can monetise their spare computing capacity just by becoming an EDGE node,” said Joseph Denne, CEO and Co-Founder of EDGE.

In order to do so, they have set up plans to attract new customers to their network thanks to reward programs such as remunerating participants for committing their spare internet capacity to the network. Whilst individuals and businesses will be able to monetise their existing connected devices and hardware by joining the EDGE network, businesses can also reduce their IT expenditure as the cost of the EDGE computing network is far cheaper than using centralised and slow cloud computing infrastructure.

“The EDGE network is already live with 155 ‘founding nodes’ established in 56 countries, who are earning DADI tokens on a monthly basis for pledging their spare capacity. EDGE is a highly secure, cost efficient and environmentally friendly blockchain based computing network that aims to revolutionise and ultimately replace cloud computing,” the CEO commented.

One of the main issues that Edge is trying to solve is the impact  that complex and expensive cloud computing weighs on the environment. The EDGE network, as the company puts it, works by bringing data storage and computation as close to the point of need as possible, pushing data, computing power and applications away from centralised clouds and data centers. This will not only be more environmentally friendly as it reduces the amount of hardware needed to store data, but it reduces the volumes of data that must be moved, the consequent traffic and distance data must travel, providing lower latency and reduced transmission costs.

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post The EDGE Network Aims To Conquer The Cloud Computing And IoT Markets Thanks To Its More Cost Effective And Fast Tech appeared first on OpenBusinessCouncil Directory.

Machine vision technology has been in the market for years. However, in advancements in technology and with the evolution of smart factory, the past decade has seen a drastic revolution in machine vision equipment. The $7.45 billion global machine vision equipment market is expected to almost double by 2022 to touch $13.62 billion, as industries intensify their demand for quality inspection.

Machine vision is commonly defined by basically the ability of a computer to see. To do so, it employs one or more video cameras, analog-to-digital conversion (ADC) and digital signal processing (DSP). The resulting data then goes to a computer or robot controller. Machine vision is similar in complexity to voice recognition.

Artificial Intelligence (AI)- and Internet of Things (IoT)-integrated machine vision systems that expedite automation will especially gain traction in this environment. Vendors are focusing on providing advanced solutions that can reduce human involvement and enhance the systems’ safety benefits, which will, in turn, prevent part damage and eliminate the maintenance costs associated with mechanical components.

“Despite the evolution of the smart camera system, PC-based machine vision solutions are expected to dominate the market due to their greater power and speed,” said Prem Shanmugam, Senior Consultant for Measurement & Instrumentation at Frost & Sullivan. “Embedded vision systems as well are finding application in futuristic end-use cases like self-driving cars and hence, companies are looking for partnership opportunities with embedded system designers.”

“Asia-Pacific will continue to be the largest market globally, generating 38.4 percent of the revenues by 2022. Companies such as Cognex Corporation, Basler AG, and Keyence Corporation will dominate the market with their diverse product portfolios, robust distribution network, and wide application coverage,” noted Shanmugam. “Machine vision vendors that demonstrate high innovation in terms of technology, flexibility, efficiency, and accuracy will be the most successful in the constantly evolving market.”

Vendors will find additional revenue opportunities in:

• Combining existing technology along with innovative technologies like 3D imaging to enhance product capabilities.
• Harnessing advances in AI, machine learning, and deep learning to ensure a higher degree of automation and reliable identification of a wider range of objects.
• Offering speed and accuracy in diagnosis, and complementing it with changing business models.
• Providing cost-effective solutions to cater to varying needs and demands.
• Focusing on expansion in developing economies such as India, Brazil, Thailand, Malaysia, and Indonesia.
• Ensuring strict compliance with government regulations regarding product quality.

Frost & Sullivan’s recent analysis, Analysis of Global Machine Vision Equipment Market, Forecast to 2022, examines the various drivers and restraints impacting the global machine vision equipment market. It identifies the key end users such as automotive, electronics and semiconductors, food and packaging, pharmaceuticals and medical devices. Growth prospects and strategic recommendations have also been included in the study.

Hernaldo Turrillo

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. He is the editor of openbusinesscouncil.org, tradersdna.com, hedgethink.com, and writes regularly for intelligenthq.com, socialmediacouncil.eu. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain. Innovation, technology, politics and economy are his main interests, with special focus on new trends and ethical projects. He enjoys finding himself getting lost in words, explaining what he understands from the world and helping others. Besides a journalist, he is also a thinker and proactive in digital transformation strategies. Knowledge and ideas have no limits.

The post Digital Transformation: IoT And AI Will Leverage Opportunities For Machine Vision Technology appeared first on OpenBusinessCouncil Directory.

Over the past 5 years, we have seen the rise of cyber attacks. Cybersecurity became crucial for not only businesses but Governments, Education Institutions, and common citizens. The urgent need to find proper cybersecurity solutions has revolutionized the sector, transforming it into a thriving industry,  expected to reach the $1 trillion mark by 2021.

Cybersecurity threats are very real, given the fact that most companies nowadays, old and new, have e presence online. They use databases to store all kinds of data: from user’s IDs to accountancy numbers, and any other sort of highly sensitive information, crucial for the functioning of the company. That is why it is a good idea to find a reliable cyber security company that can prevent unauthorized access to this precious data.

Luckily at this point, and after a horrific 2017, firms have started to take cybersecurity seriously, and have found in new technologies some answers. As a result, these growing concerns about cybersecurity have brought us more security solutions for both computers and smartphone (and you can click here to learn more about how you can keep specifically your smartphone secure). Software, firewalls and antivirus systems have been benefited by recent developments in Artificial Intelligence, adaptive authentication, blockchain technology and the Internet of things, to name few, in this never-ending cat-and-mouse cybersecurity race. Thus all eyes are now fixed on Intelligent Security, Blockchain and IoT tools.

What trends do we expect to see more in 2019 in terms of cybersecurity? And are they truly ready for the challenge?

Intelligent security software

The rise of “intelligent security” will certainly happen. This term has been around for the past few years, but now we’re finally seeing it come to fruition in specific tools. This term includes a whole array of different technologies, from AI to the Cloud, although working in parallel to become a whole security system itself. It can be defined as a protective shield capable of learning and adapting through data to external threats.

Intelligent security combines aspects of machine learning and artificial intelligence with traditional security applications. The tools are more capable of adapting to new threats and to secure new types of applications. Basically, this system is based on AI algorithms that are able to learn from security breaches to avoid them in the future. Consequently, the more attacks a system is hit with, the more reliable the security will be to defend itself in the future.

Among the solutions brought by Intelligent security, we can find threat intelligence software, or cloud security software as its most representatives. As it was recently mentioned by G2 Crowd security site, “Threat intelligence networks and applications provide companies with the latest information on new cyber threats such as zero-day attacks, new forms of malware and recently discovered exploits.” This software uses machine learning capabilities, so it is able to spot newly found malware within the system and deal with it.

Cloud security software, on the other hand, is developed to avoid massive data breach in large data sets stored in the cloud. Business have started to rely in the cloud as a more effective way of storing data. As such, SaaS solutions have become a real hit among businesses. However, the potential vulnerabilities have soared along. To avoid data breaches, firms have started to insert endpoint cloud application gateways and cloud-based network security tools to protect sensitive business information. These products can be used to protect end-users, the data those end-users may be transferring over unsecured networks and the public cloud itself.

Blockchain as a safe network

Blockchain is another emerging technology that will be used as a cybersecurity tool more in 2019, although it is not its first functionality. However, blockchain itself can be seen as a cybersecurity measure as this distributed ledger allows secure transactions and the identities of the parties involved are anonymous. Everything is validated through a public ledger, so all peers in the network have to accept any change made within the blockchain. Nonetheless, information remains private through a highly complex encryption process.

Security powered by blockchain can be applied to identity management software, transactional systems, healthcare data management and any other industry you can think of. By using the security of blockchain, companies could realistically save tons of time and money by streamlining transactions and securing them with blockchain. Everything is quite exciting when talking about blockchain, although we still need to think that we are in the early days of its development and changes and improvements are still needed before going mainstream.

IoT security tools

Internet of Things, or IoT, is a controversial technology, to say the less. Its capability of connecting literally everything (even a fridge) around a person allows it for levels of connection never seen before, but on the other hand, it also increases the possibility of more devices being subjected to get hacked. That means a lot of more endpoints to secure and a new threats to identify.

IoT security tools have emerged to help prevent these unsuspecting endpoints from divulging sensitive information or becoming part of a bigger attack. A good thing is that since IoT is still evolving and concerns about its security have arisen at an early stage, new solutions are also being tested taking in consideration those concerns.

As explained by Specialist Aaron Montemayor, “Many of these [IoT] solutions will come as a form of hardware to monitor IoT sensors, but many are cloud-based applications to monitor threats on multiple devices at once. The threats are enormous and not completely understood since its so new. Hackers could gain control over a car’s operating system or a hospital’s infrastructure and wreak havoc on everyday citizens.”

Conclusion

We all still bear in mind the 2017 attack to the NHS, in the UK, that compromised millions of patient’s records; or the recent security breach in Germany, committed by a 20-year-old student who got access to thousands of high-profiles data, including the one from the Chancellor, Angela Merkel.

The digitalised society in which we all live, has taken shape through the evolution of digital platforms that were not so concerned initially, with securing the information of its users. As such, millions of data (mostly from users) is now roaming across the web, with little, or in the best of the cases, outdated security, to stop hackers. Most importantly, this data is filled up with real people’s important digital information: telephone numbers, e-mail conversations, pictures, names and addresses… which have become crucial for their everyday operations, and one of the most important assets to trade with for large firms.

The cybersecurity solutions mentioned above aren’t the traditional ones. New complex threats require bigger and thorough solutions. It is not about building an impenetrable shield against hackers, but just making their job harder, so we all fee safer.

Dinis Guarda

Dinis Guarda is the founder of intelligenthq.com and an author, serial entrepreneur and CEO of ztudium that manages openbusinesscouncil.org, fashionabc.org, blocksdna.com, lifesdna.com.

He creates and helps build ventures focused on global growth, 360 digital strategies, sustainable innovation, Blockchain, Fintech, AI and new emerging business models such as ICOs / tokenomics.

Dinis is the founder/CEO of ztudium that manages blocksdna / lifesdna. These products and platforms offer multiple AI P2P, fintech, blockchain, search engine and PaaS solutions in consumer wellness healthcare and life style with a global team of experts and universities.

He is the founder of coinsdna a new swiss regulated, Swiss based, institutional grade token and cryptocurrencies blockchain exchange. He is founder of DragonBloc a blockchain, AI, Fintech fund and co-founder of Freedomee project.

Dinis has created various companies namely Ztudium, a tech, digital and AI blockchain startup that builds cutting edge software, big data insights, publishes intelligenthq.com, hedgethink.com, fashionabc.org, openbusinesscouncil.org and tradersdna.com, citiesabc.com among others.

Dinis is the author of various books. His upcoming books “4IR AI Blockchain Fintech IoT Reinventing a Nation“, “How Businesses and Governments can Prosper with Fintech, Blockchain and AI?”, also the bigger case study and book (400 pages) “Blockchain, AI and Crypto Economics – The Next Tsunami?” last the “Tokenomics and ICOs – How to be good at the new digital world of finance / Crypto” will be launched in 2018.

Some of the companies Dinis created or has been involved have reached over 1 USD billions in valuation. Dinis has advised and was responsible for some top financial organisations, 100 cryptocurrencies worldwide and Fortune 500 companies.

Dinis is involved as a strategist, board member and advisor with the payments, lifestyle, blockchain reward community app Glance technologies, for whom he built the blockchain messaging / payment / loyalty software Blockimpact, the seminal Hyperloop Transportations project, Kora, and blockchain cybersecurity Privus.

He is listed in various global fintech, blockchain, AI, social media industry top lists as an influencer in position top 10/20 within 100 rankings: such as Top People In Blockchain | Cointelegraph https://top.cointelegraph.com/ and https://cryptoweekly.co/100/ .

He has been a lecturer at Copenhagen Business School, Groupe INSEEC/Monaco University and other leading world universities.

He is a shareholder of the fintech social money transfer app Moneymailme and math edutech gamification children’s app Gozoa.

Between 2014 and 2015 he was involved in creating a fabbanking.com a digital bank between Asia and Africa as Chief Commercial Officer and Marketing Officer responsible for all legal, tech and business development. Between 2009 and 2010 he was the founder of one of the world first fintech, social trading platforms tradingfloor.com for Saxo Bank. In 2011 he created the B2B platforms socialmediacouncil.org and openbusinesscouncil.org with Jamie Burke.

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