The internet era as we know it really started in the early 2000’s, riding on the wave of the first high-processing computers.

The dawn of the internet has not only brought advances to society but has also ushered in a digital revolution that is still transforming how the world operates. With people getting more comfortable with the technology almost 20 years later, there’s now a plethora of use cases offered by high-performance devices. DLT, blockchain, digital assets, big data and AI are the new disruptive elements in today’s digital revolution.

AI and Blockchain are becoming more seamlessly integrated and enhanced each day and their use in various applications is changing the world as we know it.

Automated ledgers have already started to replace manual book keeping methods, the implications of which have already made waves in the fintech industry: Banks and other financial authorities sent ripples through to experiment with blockchain to upgrade their business models and offer greater ease operability to their consumers; investors are (gradually/tentatively) venturing away from traditional assets towards crypto assets; and Big Data has become the new oil, with data security and privacy a major issue to be grappled with.

In the upcoming Financial Fox, Founder Stefania Barbaglio will be hosting a special programme Everything you need to know about Blockchain, Digital assets, Big Data and Markets, focusing on the technology revolution and its implications. Distributed ledger technologies like blockchain are currently transforming industries and revolutionising the ways companies and governments operate. Decentralised applications and smart contracts are being used more and more across a variety of use cases for businesses, governments, individuals and even IoT devices.


This exclusive Financial Fox episode will welcome four forward-thinking experts in the technology field. Part One will see Stefania speak with Jean-Philippe Beaudet, Director and CTO of Canada based Zeu Crypto Networks and James Bennet, CEO of Byte Tree. Both Jean-Philippe and James have been recognised for their immense contribution to the blockchain and digital assets space.

Jean-Philippe Beaudet, Director & CTO Zeu Crypto Networks

Jean-Philippe Beaudet is an experienced gaming developer who has researched natural language processing for Luminary, a private American research lab. Cultivating an interest in machine learning and decentralised technology led him to co-found S3R3NITY Technologies, a technology incubator from which he launched numerous start-ups. He was an early enthusiast of blockchain technology and contributed to major projects such as a Bitcoin brokerage platform and a marketing data analytics tool for financial institutions. Identifying the opportunity to marry blockchain technology with artificial intelligence to meet the need for a decentralised data market, he founded VN3T. He is also the President and Chairman of VSEKUR. He is an advisor on multiple blockchain initiatives and a regular conference speaker.

James Bennet, CEO Byte Tree

“James moved into the crypto-asset space in early 2017 after completing a financial management program at General Electric. Initially working as an independent consultant, he founded crypto-asset consultancy Bitassist, where he worked on a number of high-profile projects. James is currently the CEO of on-chain analytics platform ByteTree, where he leads the product development and commercialisation of the ByteTree investor terminal.”


Part Two will have more emphasis on blockchains, digital assets and their impacts on the markets in a conversation between Stefania; Michele Curtoni, VP, State Street’s Digital Product Development and DLT team; and Pietro Lanza, General Manager at Intesa, IBM.

Michele Curtoni is VP in State Street’s Digital Product Development and DLT team. Prior to this role, he was manager and strategy leader for LSEG Emerging Technologies group. Michele currently focuses on working in the Distributed Ledger Technology (DLT) and Digital Assets space, a field he has been active in for the past 4 years. In his roles to date, Michele has covered many aspects of the innovation cycle, from working on implementing business applications and proof of concepts with emerging technologies, to start-ups and wider Fintech space engagement. For over four years, he also held a central role in LSEG Group Strategy division, overseeing several of the Group’s high profile acquisitions and corporate partnerships as well as other Group strategic initiatives. Michele holds an MSc from the University of Warwick in Economics and International Financial Economics (EIFE).

Pietro Lanza is an experienced manager with a demonstrated history of working in the financial services, management consulting, technology solutions and internet industries.
After supporting several banks in developing their digital strategies he is now involved in relevant projects across Europe, USA, Latin America, Middle East and China. He is extremely passionate about Blockchain, AI and IoT.

This is a must-watch episode if you want to keep up with the dynamic aspects of new technologies. Subscribe to our YouTube channel : and become a part of our growing crypto community.





Cassiopeia Data Series: Intersection of Data and Disruptive Technologies

In this Information Age, data has become one of the most valuable assets in society. Data is defined as pieces of information collected to be examined and considered, and used to help decision-making; or information in an electronic form that can be stored and used by a computer.

The Global Big Data market is expected to reach $118.52 billion by 2022, growing at an impressive rate of 26.0% from 2015 to 2022, which includes the aggregated value of data in different products and services. The main factors driving this trend upwards are growth in consumer data, superior information security, and enhanced business efficiencies.

The data market is vast and full of opportunities, especially for those developing and curating technology. The total number of data workers in the 28 EU countries is estimated at 6.1 million, a figure that could almost double by the year 2020 if growth keeps on at this pace. On top of this, the number of organisations producing and supplying data-related products and services could reach almost 350,000 in 2020, when the number of data users could be more than 1.3 million.

Data is a concept society is still trying to grasp, and the questions around its uses are numerous and complex — concerning data ownership, privacy and surveillance, among others. Data requires careful and ethical management, as once information is made available online, it rarely gets deleted, making it difficult to measure the consequences of misuse.

“You can’t make a data set disappear. Once you post it, and people download it, it exists on hard drives all over the world,” says researcher Adam Harvey, whose project Megapixels documented the details of dozens of data sets and how they are being used, to the FT.

It is important to note that data in itself has no beneficial or damaging features. What defines it are the applications and purposes which it serves. As disruptive technologies continue to evolve and digitisation becomes more widespread, the uses of data become increasingly more diverse.

A PwC study has identified the top eight disruptive technologies of today, which are the flagships of the Fourth Industrial Revolution and can dramatically change the way we do business: Artificial Intelligence (AI), Augmented Reality, Virtual Reality, Blockchain, Internet of Things (IoT), Drones, 3D Printing and Robotics.

These are the core technologies that will matter most for business, across every industry, over the years to come. A stronger way to harness those technologies would be combining them to yield powerful applications that are even more beneficial and efficient.

From PwC, The Essential Eight

Each one of these technologies interacts with data in different ways: they have diverse functions. Ultimately, harnessing data is a fundamental part of this new wave of technology.

Internet of Things (IoT) collects data

In an Internet of Things (IoT) system, computing devices, mechanical and digital machines, objects, animals or people are all interrelated with the use of unique identifiers (UIDs), and with which they can collect and transfer data over a network without requiring human-to-human or human-to-computer interaction.

IoT technology is used in the consumer, enterprise, industrial, and government market segments, each of which produce massive amounts of data, generally of the unstructured variety, requiring data technologies for management and processing.

This is where Artificial Intelligence enters the scene…

Artificial Intelligence (AI) processes and analyses data

With the use of Artificial Intelligence (AI) algorithms, we enhance the ability of big data analytics and IoT platforms to provide value to each of these market segments. AI algorithms can be trained to manage and process data according to certain standards. This feature turns raw data into meaningful information, which is then useful for decision-making purposes.

This chart shows forecasted cumulative global artificial intelligence revenue 2016–2025, by use case.

Blockchain stores and distributes data

In the blockchain realm, data and decentralisation enjoy a powerful relationship. Data can be fed into blockchain networks securely and privately, avoiding centralised storage. Blockchain can be used as the foundation for decentralised data storage providers.

Because of the architecture of blockchain networks, data stored on them is immutable and cannot be forged, making it a highly secure technology for preventing fraud.

The “essential eight” technologies are evolving rapidly, becoming increasingly more sophisticated and equally complex, also prompting questions around legislation and ethical uses of data. The scenario leaves plenty of room for further research and discussion about how technology can help drive society forward without compromising rights and principles.

Cassiopeia Services is a key partner and the official PR/Media representative of the World Ethical Data Forum (WEDF), a leading global organisation that embraces the full spectrum of interrelated issues around the use and future of data.

We are working with WEDF on its next Global Forum set to take place in London in 2020. Dates, venue and keynote speakers will be announced in due course.

For more information about how to get involved, drop us an email at

China aims to be a leader in AI by 2030

The Chinese government is on a mission to place the country as a world leader in Artificial Intelligence by 2030. Along with the United States, China currently shares the top destinations in tech development. Aiming to get to the global pole position, China is ramping up its strategy, focusing mainly on AI by heavily investing in research, development and applications of AI into diverse areas.

The government plan released in 2017, forecasts that its domestic AI industry will be worth US$150 billion by 2030. “By 2030, we shall make artificial intelligence theory, technology, and application at the world’s leading level,” the Chinese Government said in the release of its top-level AI plan.

China has identified 17 key areas for AI development in China, among them smart vehicles, intelligent service robots, intelligent drones, neural network chips, and intelligent manufacturing, for examples; as well as bringing the value of AI to all levels throughout the supply chain.

In the near-term future, China’s Ministry of Industry and Information Technology (MIIT) hopes to thrive in smart chips for autonomous driving, intelligent vehicle algorithms, and vehicle communications. Over the coming three years, Beijing expects to increase in the size of the AI industry by ten times.

The signs of the AI revolution in China are already visible. Earlier in November, state news agency Xinhua unveils the world’s first AI news anchor who can report ‘tirelessly’ 24 hours a day.

The steps to achieve global dominance reflect the amount of funding destined to technology and AI firms in China. Last year, 48 percent of total global funding of AI startups globally came from China, compared to 38 percent funded by the US, and 13 per cent by the rest of the world.

To be able to sustain the growth of the industry, investments in education and training are hugely necessary — and Chinese authorities do not miss this. From 2019, Chinese pupils will start having AI lessons in primary and secondary schools. According to Xinhua, pilot projects already started running in Shanghai.

In universities, doctoral students who pursue AI-related majors can be paid as high as 800,000 yuan (US$115,234) per year, representing an increase of up to 60 percent from the annual salary of 500,000 yuan (US$72,021) in 2017, says a NetEase report.

Smart Asia: Asian countries lead the race to develop smart cities

The strategy and development of AI applications couples with advancements in terms of implementing smart technologies into urban centres to create the so-called ‘smart cities’.

Governments across Asia are embracing disruptive technologies such as Internet of Things (IoT), artificial intelligence (AI) and blockchain to create effective solutions for the challenges faced by megacities.

The second leading smart city in the world is Singapore, where intelligent transportation and mobility system which have been in place for more than 10 years.

Prime Minister Narendra Modi of India launched a strategy in 2015 to build 100 smart cities in the country. The initiative seeks to invest more than $15 billion over the next few years to develop and implement efficient infrastructure and management solutions.

The engineering behind the structure of smart cities combines multiple digital tools such as location sensing, cloud computing and mobile connectivity.

McKinsey estimates that smart-mobility applications could create up to $70 billion in value and forecasts suggest that by 2023 the smart cities market will be a US$7.6 billion Telco opportunity for mobile service providers (MSP) and network vendors.

Despite the figures above, the real positive impact of smart cities cannot be measured in economic growth or market size; it is instead reflected in a better quality of life, more effective public services and sustainable lifestyle.

“Asian countries are very forward-thinking and famous for welcoming technology and innovation. There is a huge scope for growth in this area and tech companies should be in the lookout for opportunities,” says Stefania Barbaglio, director at Cassiopeia Services.

As we welcome the fourth industrial revolution, and let innovation keep on improving our lives, more systems are set to transform, bringing positive changes to society. Watch this space for more updates on technology projects in emerging markets. Subscribe to our FinancialFox YouTube channel for all the latest developments and news.