We are back with another weekly update, here are some newsworthy developments that had happened in these seven days!
Moving Beyond Social Media Towards News As “Big Data” In The Cloud Era – Kalev Leetaru, January 7, 2019.
When we talk today about using “big data” to understand human society, we typically mean using “social media” data. In the social sciences “big data” and “social media” have become increasingly interchangeable due to the widespread availability of large social media datasets and their machine-friendly distribution firehoses and archives. Yet, accessible social media reflects only the narrowest windows of human society, blinding us to many of the areas and events we are most interested in. In contrast, other datasets like traditional news media far surpass both the geographic and temporal reach of social media. These alternative data sources remain largely inaccessible to most data mining efforts due to the lack of observational time series datasets and tools that would allow researchers to ask the questions they are most interested in. How might we broaden the world of “big data” societal research?
Digital Transformation in 2019 = Artificial Intelligence + Big Data + IoT – January 8, 2019.
Companies have started to use innovation and digital transformation to differentiate themselves and to stay competitive. This lead to dramatic growth in cloud computing over the past years. Organisations are innovating and leveraging the latest technologies simply to stay in the business world. Generally, all organizations implement online retail, banking, and other services but among all most priorities are for online services as they are becoming the primary revenue channel. Big Data Companies are working quickly to review and analyse their processes and seize opportunities for digital transformation to understand their current processes to make use of technologies like the Internet of Things, Big Data Analytics, and Artificial Intelligence etc. to adapt them on existing processes. There is no doubt that the cloud infrastructure provides the best of support to compute power, storage, scale, and speed.
Big Data and Analytics: Improving Operational Efficiency and Boosting on-Time Delivery – Business Wire, January 8, 2019.
With the recent increase in global competition, challenges for the food industry companies have grown manifolds. Food industrycompanies have to address numerous challenges such as reducing supply chain waste, optimizing supply chain efficiency, boosting sustainable growth, implementing green policies, and finding a competitive advantage. Moreover, they need to monitor product and data throughout the supply chain to comply with the state and federal regulations on food safety and disposal. They also need to ensure that good quality products are delivered at the lowest possible prices without compromising on the quality. Creating technology and automated processes that adapt to ever changing consumer trends has become vital for food industry companies. Since the supply chain is an ever changing world, companies need to adapt to new technologies to become more efficient and productive in the food business. The inefficiency of a supply chain to adapt quickly to a problem increases operational costs and results in low-profit margins and more wastage for companies. Therefore, companies need to leverage technologies like big data and analytics to gain better insights and track and monitor supply chain activities in real time.
IBM Q: Could IBM’s Quantum Computing Break the Blockchain? – Max Moeller, January 11, 2019.
The blockchain is an exciting new technology. Big companies from Facebook to Amazon are looking into the decentralized ledger. Despite this, the blockchain hype has finally died down a bit, and developers are already looking into practical applications. While most people claim the blockchain to be “unhackable” that’s only by today’s standards. This is primarily due to its decentralized nature, encryption methods, and community consensus mechanisms most blockchains require a majority vote to validate a transaction. That faith in this technology is not unfounded, either. You’re hard-pressed to find a time where a blockchain has been “hacked” or “taken-over.” It has happened, but the process is not easy. According to the article, one study revealed that hacking a Bitcoin blockchain is as likely as “winning the Powerball lottery 9 times consecutively.” However, those statistics may change come IBM’s Q System One.
Building a wall around the cloud: Why China will soon be a very important cloud computing market – Tom Krazit, January 13, 2019.
Cloud computing was invented by American tech companies. By the end of the next decade, it might be the domain of Chinese tech companies. Like many other tech revolutions kicked off inside the U.S., cloud computing is taking China by storm as its startupsmature and its big conglomerates update their tech infrastructure. The best example of that in 2018 might have come during Alibaba’s September cloud computing conference, which attracted over 120,000 people from across China and Asia, dwarfing the more than 50,000 people who poured into Las Vegas later in the year for Amazon Web Services’ re:Invent 2018 conference. Those attendees were interested in many of the same technologies that draw people to cloud conferences: open-source software, adopting containers as part of their application deployment strategy, and learning how to apply machine-learning cloud services to their apps and businesses. But the U.S. companies that honed those technologies, accustomed to a great deal of enterprise computing power nearly everywhere else in the world, face a very different market in China.
Explainability Vs Interpretability In Artificial Intelligence And Machine Learning – Ambika Choudhury, January 14, 2019.
Over the last few years, there have been several innovations in the field of artificial intelligence and machine learning. As technology is expanding into various domains right from academics to cooking robots and others, it is significantly impacting our lives. For instance, a business or finance user is using a machine learning technology as a black box that means they don’t know what lies within. Explainability and interpretability are the two words that are used interchangeably. In this article, we take a deeper look at these concepts.
The Weaponization Of Artificial Intelligence – Jayshree Pandya, January 14, 2019.
Technological development has become a rat race. In the competition to lead the emerging technology race and the futuristic warfare battleground, artificial intelligence (AI) is rapidly becoming the center of global power play. As seen across many nations, the development in autonomous weapons system (AWS) is progressing rapidly, and this increase in the weaponization of artificial intelligence seems to have become a highly destabilizing development. It brings complex security challenges for not only each nation’s decision makers but also for the future of the humanity.
5 Important Augmented And Virtual Reality Trends For 2019 Everyone Should Read – Bernard Marr, January 14, 2019.
Alongside AI and automation, virtual reality (VR) and its closely related cousin augmented reality (AR) have been touted for several years now as technologies likely to have a profoundly transformative effect on the way we live and work. Solutions which allowing humans to explore fully immersive computer-generated worlds (in VR), and overlay computer graphics onto our view of our immediate environment (AR) are both increasingly being adopted in both entertainment and industry. Over the next year, both VRand AR applications will become increasingly sophisticated, as devices get more powerful and capable of creating higher quality visuals. Our understanding of how humans can usefully navigate and interact within virtual or augmented environments will also evolve, leading to the creation of more “natural” methods of interacting and exploring virtual space.