Our work at DataStreamX and the DSX Network has revolved around ensuring the transparency, trustworthiness, and fluidity of the data transactions made through our platform. By working with thousands of data buyers and sellers, as well as processing billions of data records monthly, we see what works and what does not when it comes to companies that transact and access data. In addition, it has enabled us to identify what works for data marketplaces and what does not. As we develop the protocol to power our next generation platform, we realized we were working on something much bigger than DataStreamX and the DSX Network. It is more than just a data marketplace for the buying and selling of data.
WORLDWIDE revenue from AI will surge past US$46 billion in 2020, according to research firm IDC. In Asia-Pacific, this is projected to rise to US$6.8 billion by 2021. Though researchers have been working on AI decades, development has accelerated in the past few years thanks to three factors – the ubiquitous availability of data, the growing capabilities of cloud computing, and more powerful algorithms developed by AI researchers. Most recently, a team of Microsoft researchers have developed the first machine translation system that can translate sentences of news articles from Chinese to English with the same quality and accuracy as a person. Throughout history, the emergence of new technologies has been accompanied by dire warnings about human redundancy.
Our collective opportunity in this era of the intelligent cloud and intelligent edge has never been greater, and with our announcements today we're democratizing technology to give each of us super powers, to enable more people to fully participate in our economy, and to move us from an economy based on consumption to an economy based on creation.
SAS, the leader in business analytics, hosted the SAS Analytics Summit on Feb. 21 at the Four Seasons Hotel, Kingdom Tower, Al Olay in Riyadh. In an age when analytics is the cornerstone of smarter decision-making, this one-day event aimed at helping regional organizations capitalize on data to gain greater business insights and develop advanced capabilities to innovate. "Data is underpinning the next frontier of innovation. In this modern era of hyper connectivity, and transformed customer experience, it is imperative that organizations leverage data to identify their business drivers and ensure optimum productivity growth," said Alaa Youssef, Managing Director, Middle East at SAS. "Data is becoming the basis of cutthroat competition, and we at SAS are committed to enable organizations across the Kingdom of Saudi Arabia to transform data into intelligence and enable greater levels of innovation to achieve their broader objective and support in realizing the national vision 2030." Themed'Bring the Analytics Economy and AI in Action' SAS experts at the event, discussed various ways organizations can foster innovation through analytics, improve customer service by leveraging Artificial Intelligence (AI), machine-learning, and more endorsed by speakers from SAS customers such as STC, Arab National Bank, and Saudia Airlines.
There is a lot being said about the sharing economy at the moment, and conveniently last month Mastercard released a whitepaper The Sharing Economy: Understanding the Opportunities for Growth. I was reading it last night on the train back from London and in this post will share my notes. There are countless definitions of the sharing economy. Mastercard indicate that the natural instinct to share with one another combined with new technology that enables that sharing to happen in unprecedented ways will ensure that the sharing economy is here to stay. "..a socio-economic ecosystem that empowers people to share underutilised assets directly with others."