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.

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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”.

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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

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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.

The constantly shifting paradigms of humanitarian actions, owing to the increased complexity and range of needs, has resulted in a steep demand for innovation in the area. Technological advancements, like Big Data analytics and AI, have proved effective and efficient for humanitarian applications to date. However, like any other innovation, it has also introduced new challenges and risks, making the end-user vulnerable to its repercussions. Redesigning AI seems to be the most plausible solution to accommodate the dynamics of various parameters within the sector. 

The world has been in constant strife to meet people’s demands while improving the efficiency in the humanitarian sector since the very beginning. Improvements and innovations in technology have led to the augmented use of artificial intelligence (AI) systems since the past few decades to satiate this hunger. However, the application has always been debated and ignited controversy, owing to its ethical and human rights-related implications.

“The instrumental conception of technology conditions every attempt to bring man into the right relation to technology. Everything depends on our manipulating technology in the proper manner as a means. We will, as we say, “get” technology “spiritually in hand.” We will master it. The will to mastery becomes all the more urgent the more technology threatens to slip from human control. But suppose now that technology was no mere means, how would it stand with the will to master it?”

Heidegger, Martin. “The question concerning technology (W. Lovitt, Trans.) The question concerning technology: and other essays (pp. 3-35).” (Heidegger 1977).

In 2013, the United Nations Office for the Coordination of Humanitarian Affairs officially proposed the recognition of information during crises as a basic humanitarian need. This led to a series of digital transformation and innovation initiatives in the humanitarian sector.

Various AI applications like chatbots, biometrics, satellite imaging, and Big Data analysis became an essential and inevitable part of the wider phenomenon. Critical algorithms were developed to focus primarily on assisting human intelligence for betterment. However, the phenomenon drew greater power asymmetries with time. What began as the “AI for social good” movement gradually started turning to “unethical innovation”.

Chatbots, for instance, has been around for quite a few years now, becoming a prevalent part of our digital culture now. Even though these bots don’t intend to take over the world (like in Transformers or Matrix) or destroy humanity just yet, there have been instances of less-than-professional behaviour shown by them in the past. Microsoft’s Teenage chatbot Tay and its successor Zo, and Nabla (a text generator at the Parisian healthcare facility) are just a few examples of AI going wrong.

Chatbots (and other AI) are based on simple algorithms and are programmed manually. Their actions are explicitly based on the mappings chalked out by the creators. Natural language, on the other hand, is a complex thing with slang, misspellings, humour, and intonations. How can it be expected that interactions involving sarcasm and intonations (that are sometimes even beyond human comprehension) could be interpreted appropriately by a machine? The latest advancements based on humanitarian innovation are the prime focus area for researchers.

Redesigning AI for Humanitarian Innovation

Though there is no specific definition of humanitarian innovation, according to HIF-ALNAP (by Obrecht and Warner, 2016)

“Humanitarian innovation is an iterative process that identifies, adjusts, and diffuses ideas for improving humanitarian action”. 

This leads to consolidated learning, bringing a measurable and relative improvement in the effectiveness, efficiency, and quality of the innovative approaches over the conventional ones. Further, it also improves the scale of adoption to improve humanitarian performance. In the end, this all leads to more exploration and research.

Currently, organisations that are involved in humanitarian endeavours collect, store, and share huge amounts of personal information. Challenges, however, arise when this data is mistreated or misused. There are a variety of guidelines for the promotion of ethical and fair use of AI across different sectors. These recommend the designing, development, and deployment of the latest innovation and technology.

Further, AI reduces communication to its barest instrumental forms. This widens the gap between the humanitarian efforts and the society itself. The disconnects compound further when data experiments with untested technology. This actually degrades the value of data. In other words, it is the reproduction of the colonial powers of AI.

Sensitive data, especially from the vulnerable demographics (such as the Internationally Displaced Persons, refugees, mental health patients, and senior citizens), needs to be handled in a sophisticated manner to ensure its privacy and security. AI redesign, therefore, is aimed to broaden and deepen the interdisciplinary efforts to enhance the innovation on humanitarian assistance.

Redefining the Future of Humanity

Though AI is paced to make huge advances to revolutionise medicine, transport, employment, and markets, it is ready to take a leap and reshape the fabric of society (and its citizens). On the other hand, its perils, owing to increased automation and misinformation, are threatening the very society with bias and surveillance.

“Whenever I hear people saying AI is going to hurt people in the future I think, yeah, technology can generally always be used for good and bad and you need to be careful about how you build it … if you’re arguing against AI then you’re arguing against safer cars that aren’t going to have accidents, and you’re arguing against being able to better diagnose people when they’re sick” —Mark Zuckerberg

Redirecting (and arguably redesigning) AI is one step closer to a smoother and seamless work, democracy, and justice for humanitarian efforts in society. However, the question remains- how. Time will reply that soon.

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 A Seamless And Smoother Future Of Humanitarian Efforts With Redesigned AI appeared first on OpenBusinessCouncil Directory.

As 2021 draws to a close, Thematic Analyst Robert Penman offers his view on these trends:

Further XAI rollout expected while companies acquire synthetic data training start-ups to poach talent

“2022 will see the further rollout of XAI, enabling companies to identify potential discrimination in their systems’ algorithms. Companies must correct their models to mitigate bias in data. Organizations that drag their feet will face increasing scrutiny as AI continues to permeate our society, and people demand greater transparency. For example, in the Netherlands, the government’s use of AI to identify welfare fraud was found to violate European human rights.

“Reducing human bias present in training datasets is a huge challenge in XAI implementation. Even tech giant Amazon had to scrap its in-development hiring tool because it was claimed to be biased against women.

“Further, companies will be desperate to improve their XAI capabilities—the potential to avoid a PR disaster is reason enough. GlobalData expects to see acquisitions of start-ups specializing in synthetic data training in an attempt to poach talent, demonstrated by Meta’s acquisition of AI.Reverie in October 2021.”

AI will need to become practical and unobtrusive for smooth integration into software

“After years of AI hype, we are now in the era of practical AI. It will be integrated into the software and will play its role unobtrusively and autonomously. Look no further than Amazon Go for an example of automated AI in action.

“There will be fewer unmet promises of AI revolutionizing life as we know it. Instead, companies will focus on creating actual AI use cases.”

Big tech’s advantage in AI will only widen as small firms can do more with less data

“Data and computing power are essential for AI development, and big tech companies have both in abundance. There are vast numbers of AI start-ups, but their future often lies in being acquired by big tech.

“However, the future of AI may be less dominated by big data. Doing more with less offers smaller companies a glimmer of hope. This is being made possible by innovative methods that enable algorithms to be trained using limited information.”

Information based on GlobalData’s report:  Tech, Media, & Telecom Predictions 2022 – Thematic Research

About GlobalData

4,000 of the world’s largest companies, including over 70% of FTSE 100 and 60% of Fortune 100 companies, make more timely and better business decisions thanks to GlobalData’s unique data, expert analysis, and innovative solutions, all in one platform. GlobalData’s mission is to help our clients decode the future to be more successful and innovative across a range of industries, including the healthcare, consumer, retail, financial, technology, and professional services sectors. PR14710

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 2022 Predictions: Further Roll Out Of ‘Explainable AI’, And More Practical Applications Of AI Lie Ahead predicts GlobalData appeared first on OpenBusinessCouncil Directory.

Technology is evolving at a rapid rate and a new group of technologies is set to revolutionise the way people live and work.

Walkme.com found that artificial intelligence takes the number one spot, with an estimated 175,837 online articles written about the technology from January to November 2021 – the equivalent of 526 online articles per day!

Machine learning is in second place – approximately 103,508 online articles were published about the technology between January to November 2021.

In third place is virtual reality (VR), with an estimated 64,509 online articles written about the immersive technology from January to November 2021.

Augmented reality (34,632), quantum computing (32,548) and cloud computing (28,874) each had over 28,000 online articles centered around them between January to November 2021, respectively ranking fourth, fifth and sixth.

At the other end in the tenth position is edge computing. The distributed computing paradigm tech had 7,433 online articles written about it from January to November 2021.

Rafael Sweary, President and Co-Founder of Walkme.com commented on the research:

“With the pervasiveness of AI, it’s no wonder it’s one of the most discussed technologies today. Take another widely discussed topic, the Great Resignation, and sure enough, there’s an AI use-case tied to it.

AI can help understand how humans interact with software and proactively recommend ways to improve the user experience, with actions that can be taken immediately. It’s a win for businesses, who can glean valuable data regarding technology usage and understand where the end-users are having issues. And it’s a win for the employee, who can quickly navigate the company’s tech stack, and not have to struggle with onboarding or training – especially remotely. Everything is done automatically, powered by AI and machine learning to extract data.”

The Methodology:

1. Walkme.com utilised reputable sources ‘ITProPortal’ and ‘Forbes’ to generate a seed list of the technologies which are set to transform the way people live and work in the next few years.

2. The seed list of reviewed/considered technologies included: artificial intelligence (AI), machine learning, virtual reality (VR), quantum computing, cloud computing, robotic process automation (RPA), augmented reality (AR), 5G, digital twins, edge computing, smart contracts, 3D printing, 4D printing, nanotechnology, voice interfaces/chatbots and human augmentation – 16 in total.

3. Once a comprehensive list of emerging technologies was drawn up, Walkme.com assessed each technology in the Buzzsumo database to identify approximately how many online articles were published about them.

4. The data range of January to November 2021 was used to represent the year 2021 because November 2021 was the last available month for the latest data.

5. Once the data for each analysed technology was collected, a ranking system organised the results from highest to lowest based on the number of online articles written about each technology. The top ten technologies are presented in the final table above.

6. To account for the different ways in which online articles are published, Walkme.com considered all naming and reference variations, e.g. ‘artificial intelligence’, AI’, ‘5G’, ‘5G network/5G communication’ and more.

7. Additionally, to increase the reliability of results the names of the reviewed technologies were translated into 13 foreign languages which included: Spanish, Portuguese, French, Turkish, German, Italian, Polish, Romanian, Dutch, Greek, Czech, Swedish, and Ukrainian – these languages were considered because they are among the most spoken/written languages in the world and the Buzzsumo database had the capabilities to accurately understand the translations for the listed foreign languages.

8. Whilst there are other foreign languages such as Mandarin, Hindi, Arabic, Russian and Bengali which are widely spoken/written, they were excluded from the research because the Buzzsumo database did not have the capabilities to accurately assess translations in these respective foreign languages.

9. Figures for the number of online articles published for each technology are approximate and account for global online articles published between January to November 2021.

10. Buzzsumo’s database could not fetch data on blockchain technology, so this was excluded from the research.

11. All data was collected on Monday 13th December 2021 and is correct as of then but is subject to change.

Conclusion

Interest in AI is expected to increase looking at the trends of the top technologies discussed during this year. Major AI use cases include autonomous driving and AI-powered medical diagnosis. Availability of more data and better computing and algorithms would give it the required impetus.

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 Revealed: THIS Technology Was Discussed Over 170,000 Times In 2021 appeared first on OpenBusinessCouncil Directory.

Maxim Group LLC is acting as the sole book-running manager for the offering.

About mCloud Technologies Corp.

mCloud is unlocking the untapped potential of energy intensive assets with AI and analytics, curbing energy waste, maximizing energy production, and getting the most out of critical energy infrastructure.  Through mCloud’s AI-powered AssetCare platform, mCloud offers complete asset management solutions for commercial buildings, renewable energy, healthcare, heavy industry, and connected workers. IoT sensors bring data from connected assets into the cloud, where AI and analytics are applied to maximize their performance.

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 mCloud Announced Pricing Of $9.5 Million Underwritten Public Offering And Uplisting To Nasdaq appeared first on OpenBusinessCouncil Directory.

Bürokratt will enable Estonia’s citizens to access all public services such as applying for family benefits, filing taxes, renewing a passport and in the future even applying for a bank loan without the need to remember. Bürokratt will remind citizens ahead of time when upcoming actions are required. Bürokratt services and information will be personalised based on the user’s data, not simply a repetition of public information based on user questions, as most virtual assistants currently operate.

Bürokratt has been designed to eradicate bureaucratic processes and make public services radically easier to use as well as more convenient and accessible. Citizens can authorise and consent to certain deeds and actions, such as the submission of applications, making of payments or contracts or change of data in registries through a voice-based interaction with an AI-based virtual assistant on any common device, such as a mobile phone. 

In the very near future, the service will give citizens the opportunity to share data on the basis of consent for the development and provision of services outside the country. By giving consent, data can be shared more easily, thus enabling companies to implement new services as well as improve existing ones. For example, it would be easier to apply for a loan from a bank, as a person does not have to enter the data in the form himself, but everything is required from the state registers. This will help private and public services to be inoperable providing the most seamless user experience for Estonia’s citizens. 

“Under Bürokratt, citizens won’t have to know or spend time searching for information on separate government websites to find a particular service. Rather, people will have services offered to them and delivered in an integrated manner, around their needs. In the same way, Alexa plays you a song and Siri assists you with your phone calls, Bürokratt will enable citizens to access their own personal data and get support with government services. Both the launch and implementation of Bürokratt will be a testament to Estonian technology and will certainly inspire more governments to transform the citizen user experience. AI-based voice-interactive virtual assistants will be the future for other governments around the world, but now they’re a reality for the Estonian people.” said Ott Velsberg, Chief Data Officer of Estonia.

Siim Sikkut, the CIO of the Estonian Government, said: “As the number one digital society in the world, the Estonian government recognises the power and need for digitalisation, particularly with respect to how public services operate from the user perspective. AI-based tools like Bürokratt provide citizens with seamless and integrated services that are rightfully tailored to the individual and their life events. The user experience will not rely on citizens having the appropriate digital skills to be able to operate interfaces such as apps or websites but will operate through the most intuitive communication mode, that is – voice.” 

Interview Siim Sikkut, Government CIO Estonia – Digital Testbed Framework, Digital Government Innovation Model:

Please find more information about the new Bürokratt digital public service interface:

https://en.kratid.ee/buerokratt-v2 

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 World’s First Public Service AI-based Virtual Assistant Launched By The Estonian Government appeared first on OpenBusinessCouncil Directory.

Susan is the recipient of the Quantum Impact Award #DecadeOfWomen in partnership with the UN GA as one of the Top Ten Frontier Women in Digital and speaks around the world on the role of AI and blockchain in serving the UN’s sustainable development goals.

Susan Oh is an advisor and global ambassador to NeoFlow Asset Management, Impulse4Women. She is also the founder of Muckr AI (Abbreviation of Muck Record) AI, which uses machine learning to grade the trustworthiness of content based on source behaviour.

Susan Oh is a founding Board Member of the Blockchain Commission For Sustainable Development which has support from the Office of Partnerships UN GA General Assembly.

A former journalist since age 16 (CNBC, EIU, Newsweek), Susan Oh speaks around the world on digital financial inclusion, including at the UN GA, ITU, The Vatican’s Pontifical Academy of Maths and Sciences, and WEF Davos.

Susan Oh Interview Questions

1. An introduction from you – background, overview, education…

2. Career highlights – what you did and what you are doing

3. Your present company/companies, organisations / major projects and focus?

4. Founder of Muckr AI (Abbreviation of Muck Record) AI, which uses machine learning to grade the trustworthiness of content based on source behaviour.

5. Can you tell us about BeOmni by Beyond Imagination, the world’s most advanced humanoid AI robot?

6. Can you tell us about your work as a founding Board Member of the Blockchain Commission For Sustainable Development which has support from the Office of Partnerships UN GA General Assembly?

7. You are an advisor and global ambassador to NeoFlow Asset Management, Impulse4Women. Can you tell us about these organizations?

8. Your work has been focused on financial inclusion models for value steps when using Al and blockchain – AI for automation, and blockchain in attempts for trustless systems for the transaction. Can you elaborate on this?

More Interviews

From The Oscars to Bollywood: Dinis Guarda Interviews The Multitalented Amrita Sen On Her Career In Music, Film And Design

Interview with Nick Jonsson – Co-founder & MD at EGN Singapore – Asia’s largest Confidential Peer Network for the C-Suite, International Best Selling Author

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

Interview with Daniel Liu – Co-Founder of NFT Creative Studio INFLUXO – Creating The Ronaldinho NFT Collection

Interview with Alvin Foo – Co-Founder at DAOventures, Emerging Tech & Marketing Evangelist, AI, Blockchain, DeFi

Dinis Guarda Interviews Liti Capital’s David Kay On Litigation Finance: “We Are Going To Be There To Help People That Are Getting Scammed, Defrauded In The Crypto Space”

Susan Oh Biography

Based in Badung, Bali, Indonesia, Susan Oh is a former journalist, a civic technologist in AI and blockchain and business executive. Susan speaks around the world on the importance of data sovereignty, blockchain and tokenomics, and for the responsible development of human-centric AI.

In this era of misleading disinformation and fake news, Susan founded MKR AI, a company that uses AI to flag disinformation. They use blockchain, offering token rewards to users who are invited to verify, annotate, and curate stories that have value. It is their hypothesis that the spread of disinformation is a problem of shareability, technology, and ideology, a great way to promote confirmation bias. MKR AI is an AI Partners Fund portfolio company, built by Crane AI, and trained by Trane AI.

Susan is a governing member of Blockchain For Impact at the UN General Assembly and is the recipient of The Quantum Impact Award #DecadeOfWomen in partnership with the UN GA as one of the Top Ten Frontier Women in Digital.

She started her career as a journalist and project manager at CNBC Asia after she earned her Bachelor’s Degree in Journalism at Ryerson University. She was a travel correspondent for Hong Kong Holiday Magazine and at the same time worked as a freelancer at Economist Intelligence Unit, Newsweek International, and The Independent based in Hong Kong.

She became associate editor for Maclean’s Magazine in 1999 and appeared weekly on-air at U8TV between 2001 and 2002. In the same year, she became Creative Writer at Oh! Communication in Toronto, worked as a reporter and producer for CBS Radio & TV, while she freelanced and travelled as an Entertainment writer. She joined Corus Entertainment in 2007 where she was a Creative Writer until 2007 when she again joined Oh! Communication as a Journalist and Advisor to Startups, where she still works today. In 2017, she worked on the AI Blockchain Industry at Trane AI and soon founded MKR AI in the same year.

Vision

About Robotics and The Future of Work

I’ve always said for years that I want robots to do the work that people don’t want to do, cannot do, or should never do. This is the stuff that is repetitive, needs speed and consistency over hundreds of thousands of steps, or is plain dangerous or unhealthy. I see robots freeing us from manual labour to let humans be more human and humane. That’s the hope. History won’t back me on this, but every hundred years, life does get better for all.

About UN SDGs, Climate Change And Tech for Good

The UN gave us Sustainable Development Goals — which is a framework, but poor as a  metric system. Metrics are data-focused and must be hyper localized. I’ve focussed on financial inclusion and to end slavery – and slavery I have a broad definition of, meaning you are working for free without reward for your personal benefit.

We’re not the first nor the only ones doing this, but with NFTs, Defi protocols and digital assets, it’s possible to come up with a more accurate valuation of upright trees to the global economy, using spectral satellite data for a carbon offset, specifies to areas by coordinates, even down to the trees. For landowners, this provides liquidity, and land stewards, better metrics to be able to harvest sustainably. And we, investors get to decide what holds value for us, not just as market makers and consumers.

Technology like AI and blockchain are only tools that can help productivity- that’s why I’ve also had to do a dive on business and revenue models as to who creates value, assesses that value, and partakes or benefits from the value created. Bad business models — like the ad revenue model — ruins perfectly good tech. It’s all how you use it.

The Future of Tech

I know what I’d like to see, and then balance it with what I’m seeing. In the long run, technology improves the quality of life and lifespan for all. In the short term, though, there will always be speculators and bad actors. The most critical factor is human and self-hacking. People, do your own research, learn as much as possible on your own, validate your assumptions through fellowship with others who are principally aligned with the world you want to create. And don’t let the bastards get you down.I see a world where everyday people get to determine value, and have the heavy lifting of manual labor taken over by robots. And those adoption cycles get shorter and shorter. How this tech gets used, all these systems, needs us humans to be responsible and accountable.

Susan Oh Links And Sources

https://www.beomni.ai/

https://id.linkedin.com/in/ohsusan

http://worldfundingsummit.com/susan-oh

https://www.crunchbase.com/person/susan-oh

https://lifeboat.com/ex/bios.susan.oh

https://www.elev8con.com/speaker/susan-oh/

https://www.openbusinesscouncil.org/wiki/susan-oh/

https://www.buzzsprout.com/1032388/episodes/9394066

About citiesabc.com
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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 Susan Oh, Future of AI, Blockchain; Blockchain For Impact Global Summit @ UN HQ, Top 10 Frontier Women in Digital appeared first on OpenBusinessCouncil Directory.

Daniel had a successful career in investment banking in London and New York. Daniel is a serial entrepreneur, founder of several companies in the entertainment, marketing and health spaces. He also advised the UK Government and European Commission on Innovation and education policy. He is a regular speaker on innovation and the Future of Work. Daniel is a cofounder of the Atari Token project with Atari, an Ethereum founder and several gaming legends and is now launching.

Daniel Doll-Steinberg Interview Focus

1. An introduction from you – background, overview, education…

2. Can you tell us about your cultural background and how that made you who you are?

3. You started your career in trading and investments. Can you tell me about that experience and how that touched your career and tech career?

4. What are your thoughts on the evolution of trading, finance and the role of technology in all of that?

5. Can you tell us about the Atari Token company / companies, organisations and focus?

6. Can you tell us about EdenBase?

7. How do you see Society 5.0 – 4IR and all areas of digital transformation?

8. What are your views on our society, technology and digital transformations?

9. What are your goals and how do you see the future of work and the main trends in tech and society?

10. And what about Frontier Technologies?

11. About AI: how to avoid a dystopian future?

12. With Covid-19 what ways do you envision to redesign our society with technology and social impact?

13. What are your visions for the present and future?

More Interviews 

From The Oscars to Bollywood: Dinis Guarda Interviews The Multitalented Amrita Sen On Her Career In Music, Film And Design

Interview with Nick Jonsson – Co-founder & MD at EGN Singapore – Asia’s largest Confidential Peer Network for the C-Suite, International Best Selling Author

Interview with Prof Xiaolan Fu, Director of the Technology and Management Centre for Development TMCD – University of Oxford, Founder OxValue.AI

Interview with Deyan Georgiev – Forbes 30U30 Winner, CEO at NitroPack – Digital Marketing & Website Optimization Solutions For Today’s Businesses

Interview with LaMondre Pough, CEO of Billion Strong, Mentor, Recognized Leader for the Community of People with Disabilities

Interview with Richard Haigh, Managing Director at Brand Finance, BA from University of Oxford, Lecturer – “Bridging The Gap Between Marketing And Finance”

Daniel Doll-Steinberg Biography

Daniel started his career in global derivatives technology in London and New York. Following that he founded / co-founded several companies delivering disruptive technology platforms in the entertainment and marketing spaces. Since 2016 Daniel has focussed on the Blockchain, specifically bringing real-world companies to the Blockchain.

He also founded, with a group of gaming veterans and an Ethereum founder, a computer gaming blockchain project that has the potential to deliver the future of work. This project, called the Atari Token, is a decentralized cryptocurrency that was created to become the token of reference for the interactive entertainment industry. The idea behind it, as Daniel says, is to have the Atari Token used as widely as possible across the interactive entertainment industry, allowing developers and publishers new options for the exploitation of their products, integration of smart contracts, protection of in-game assets and so much more.

For several years Daniel advised both the UK Government and the European Commission on innovation, growth, and education policy. This included being the two-term UK appointed member of the European Commission Enterprise Policy Group (Business Chamber) and a member of the UK Government’s EU Advisory Group for the Department of Business, Innovation, and Skills.

In January 2020, Daniel Doll-Steinber and Eric van der Kleij founded EdenBase, which invests knowledge, capital and technology, to enable the next Game Changing tech-companies to achieve responsible growth and positive impact.

Daniel and Eric define Eden

Base as follows: “We created London’s famous Level39 in Canary Wharf, the TechCity/TechNation initiative establishing the UK as a European “Silicon Valley,” Swiss Kickstart accelerator’s Fintech vertical with Digital Switzerland. We led tech transformation for companies such as Misys, Banque Paribas & Credit Lyonnais and pioneered groundbreaking, multi award winning DRM technology globally for companies like Microsoft, Adobe, Symantec, Eidos, Warner Bros, Sony Pictures, EMI, Tesco and Carrefour and created the original Atari Token future of work project

Our ecosystems and their programmes have provided the frameworks for supergrowth of companies like Bankable, carwow, Darktrace, Deliveroo, Digital Shadows, eToro, Farfetch, Funding Circle, Just Eat, Just Giving, Lendinvest, Monzo, Onfido, Revolut, Ripple, Shazam, Skyscanner, Transferwise, Zoopla and many others.”

He currently attends the All-Party Parliamentary Group on Blockchain. Daniel has a BEng from the University of Manchester and has lectured a course on supply chain innovation at University College London, where he was an Honorary Senior Research Associate.

Vision

Blockchain And Gaming: The Atari Token Project

I bumped into a very old friend of mine, called Ron. Ron has been in gaming since 1990. He was one of the first people in the US to create the casual gaming industry. He was friendly with all the people from Epic, from DeepMind, they were all gamers together. And we happened to go for lunch, and he said: what’s the coolest thing you’re working on? I said we were working on blockchain, we were working on all of these technologies for gaming. And he phoned me 2 weeks later and he said, this is going to revolutionize gaming. What you are doing. You’ve got it slightly wrong, but it will. So he came on board as the second cofounder of the Atari token, with all of his gaming friends. And what they were doing, they were using the technology and the ideas we were creating and using it to embed it into the industry they knew really well.

What is EdenBase?

This comes out of everything that I’ve been thinking about for a long time and it’s to do with the way I see the world. And I have to declare, how I see the world, you asked me in the beginning. What am I like? And how have I got here? And clearly everything that I do is based on, I’ve had experience working for the commission and the government where I had to try and dissociate myself from who I am and what I am, but I am who I am. The concept of EdenBase is to take the future that we think is positive for people and to ensure that we deploy into the solutions and the teams that we work with, these solutions in a way that meets those targets and meets those goals. I look at ESG as not a company that comes to us and says “hey hey hey”, I’m an ESG company because I’m gonna do great things, you know. We looked at Facebook in 2004 and thought by 2010 the whole world would be a democracy. And actually we woke up in 2021, and thought: “Did we really want to have Facebook in the world anymore?”.

Daniel Doll-Steinberg Links and Sources

https://www.linkedin.com/in/daniel-doll-steinberg/

https://twitter.com/dandoll?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor

https://blockchain-expo.com/europe/speaker/daniel-doll-steinberg/

https://www.cybersecuritycloudexpo.com/global/speaker/daniel-doll-steinberg/

https://www.atarichain.com/

https://edenbase.com/edenbase-team

https://www.f6s.com/danieldoll-steinberg

https://www.crunchbase.com/person/daniel-doll-steinberg

https://uk.linkedin.com/company/edenbase

About citiesabc.com
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About openbusinesscouncil.org
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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 Daniel Doll-Steinberg, Co-Founder Of EdenBase, The Atari Token Project, Technologist, Former EU/UK Advisor appeared first on OpenBusinessCouncil Directory.