As the ripple of COVID-19 careens around the globe, it’s forcing humankind to innovate and change the way we work and live. The upside of where we find ourselves right now is that individuals and corporations will be more resilient in a post-COVID-19 world. Here are nine predictions of what our world may look like once we have left the pandemic behind.
Machine learning reveals that news coverage of people in creative industries such as design and art is shaped by gender. Can it guide us toward parity?
How long would it take you to review half a million articles? Not just to read, but to tally for particular keywords, such as “he,” “she,” and the words that immediately follow them? Well, let’s just say you’d have to quit your day job.
Undeterred, the Creative Industries Policy and Evidence Centre, which provides independent research and policy recommendations for the U.K.’s creative industry, in partnership with the innovation foundation Nesta, made it their day job. They had some help: AI.
Even though banking and financial services have been slower than other industries to adopt the latest technology into their operations, financial organizations are trying to catch up by incorporating artificial intelligence, blockchain, and other technology to benefit their customers, remain competitive and improve business results. Here are the 7 biggest technology trends that will disrupt banking and financial services in 2020.
Human interest in exploring the unknowns has always been universal and enduring. While, over the years, the nature of exploration has changed fundamentally, humans have always been keen to explore the unknown and discover new worlds: be it beyond our geographical boundaries, new trade routes, lands, or opportunities in cyberspace, geospace, and space (CGS). In pursuit of unknowns, it is our imagination, ideas, innovations, and inventions that are helping us push the boundaries of our exploration limits beyond CGS. It is the never-ending human drive that pushes us further to discover new worlds. Imagination has always been an indicator of human intelligence, and each new idea and innovation is helping us push the boundaries of human exploration further. Technology, which gives us the foundation on which we can define and design the human ecosystem beyond cyberspace, geospace, and space, is pushing these boundaries. Where would it take us in the coming years?
An artificial Intelligence project utilizing a humanoid robot from French company Aldebaran and reprogramed for their specific campus makes its debut as an assistant for students attending Palomar College in San Marcos, California, U.S. October 10, 2017. REUTERS/Mike Blake
No one disputes the potential impact AI will have across a wide range of business sectors.
At this year’s Annual Meeting of the New Champions (AMNC) in Tianjin, China, PwC unveiled a report detailing eight significant predictions for the future of artificial intelligence (AI), called 2018 AI Predictions – 8 insights to shape business strategy. No one disputes the potential impact AI will have across a wide range of business sectors, and PwC has drawn on its own research and experience to lay out what it believes the short-term future holds for this exciting and sometimes anxiety-raising technology.
Internet search giant Google has added ethereum to its big data analytics platform BigQuery.
Making the announcement in a blog post on Saturday, the company said that, while an API exists for commonly used functions such as checking transaction status or wallet balances, it’s not so easy to access all of the data stored on the ethereum blockchain.
The post continues to say that “perhaps more importantly,” the API doesn’t allow for viewing blockchain data “in aggregate.”
Summit, the world’s fastest supercomputer, is made up of rows of black refrigerator-size units that weigh a total of 340 tons.
The United States just won bragging rights in the race to build the world’s speediest supercomputer.
For five years, China had the world’s fastest computer, a symbolic achievement for a country trying to show that it is a tech powerhouse. But the United States retook the lead thanks to a machine, called Summit, built for the Oak Ridge National Laboratory in Tennessee.
The ubiquity of big data is such that Gartner dropped it from their Hype Cycle of Emergent Technologies back in 2015. Across sectors, businesses are scrambling to make every function “data driven,” and there’s no shortage of firms lining up to help them. The big data analytics industry, dedicated to helping big businesses leverage the petabytes of information they now generate and store, is worth $122 billion — and growing.
In today’s world, a terabyte is a rather routine size of information. However, when we get to petabyte, we talking serious volumes of data.
Companies like DigitalGlobe are creating more petabytes than they can upload to the cloud. That’s why Jeff Bezos has a service for shipping huge amounts of data via traditional roadways.
When “little green men” invaded Crimea in early 2014, they left a data trail that went largely unnoticed by the U.S. Intelligence Community (IC). Distracted by a large Russian exercise to the west, the IC did not connect the digital dots that indicated the impending invasion. In the Information Age, the “dots” are more plentiful and glaring as everyone now leaves a data trail. Given that, how can intelligence analysts better gather, share, organize, and view data to reveal intent, more accurately predict behavior, and make better decisions with limited resources?