Big Data Archives - Liwaiwai

4 Key Areas Where AI And IoT Are Being Combined

The Internet of Things is powered by 3 emerging technologies – Artificial Intelligence, 5G and Big Data. When combined, Artificial Intelligence and the Internet of Things (AIoT) hold the promise of a more connected future. The AIoT fusion is increasingly becoming more mainstream, as it continues to transform the fundamental ways in which we live our lives and process data. AIoT: When AI meets the Internet of Things The Internet of Things (IoT) is a technology helping us to reimagine daily life, but artificial intelligence (AI) is the real driving force behind the IoT’s full potential. From its most…

The Pain Points Of Scaling Data Science

While building a machine learning model, data scaling in machine learning is the most significant element through data pre-processing. Scaling may recognize the difference between a model of poor machine learning and a stronger one. Machine learning algorithm only recognizes numerical if there is a significant difference in the dimension, say few varying in tens or hundreds or often in thousands, among these predominant numbers when the data is used before scaling, it attempts to play a more significant role while preparing the ML model. For machine learning algorithms, data scaling is important in calculating intervals between data and evaluating…

Financial Services Companies Are Starting To Use The Cloud For Big Data And AI Processing

The financial sector has historically been nervous about allowing its data to go off premises, making it harder to scale. Now it’s allowing for some data in the cloud to speed AI and data management. Financial services companies are and continue to be focused on maintaining a majority of their mission-critical systems on premises, where they have direct control. They also want direct control to quickly recover systems if a failure occurs. It’s also financial institutions that have the reputation of being transaction-driven and not customer-centric. As marketplace competition increases, most now recognize the need to store and mine customer information…

What The Public Hopes And Fears About The Use Of AI In Health Care

There has been increasing interest in using health “big data” for artificial intelligence (AI) research. As such, it is important to understand which uses of health data are supported by the public and which are not. Previous studies have shown that members of the public see health data as an asset that should be used for research provided there is a public benefit and concerns about privacy, commercial motives and other risks are addressed. However, this general support may not extend to health AI research because of concerns about the potential for AI-related job losses and other negative impacts. Our…

From Nudge To Hypernudge: Big Data And Human Autonomy

We produce data all the time. This is a not something new. Whenever a human being performs an action in the presence of another, there is a sense in which some new data is created. We learn more about people as we spend more time with them. We can observe them, and form models in our minds about why they do what they do, and the possible reasons they might have for doing so. With this data we might even gather new information about that person. Information, simply, is processed data, fit for use. With this information we might even…

Data Systems That Learn To Be Better

Big data has gotten really, really big: By 2025, all the world’s data will add up to an estimated 175 trillion gigabytes. For a visual, if you stored that amount of data on DVDs, it would stack up tall enough to circle the Earth 222 times. One of the biggest challenges in computing is handling this onslaught of information while still being able to efficiently store and process it. A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) believe that the answer rests with something called “instance-optimized systems.” Traditional storage and database systems are designed to work for a wide range…

How China Is Using Artificial Intelligence And Big Data In Fighting Coronavirus

Compared to the 2002 SARS outbreak about two decades ago and the on-going COVID-19 outbreak today, China is equipped with more powerful technologies that are aiding them in suppressing the spread — Artificial Intelligence (AI) and Big Data analytics. How do they help exactly? Eyes are watching According to Al Jazeera, the Chinese surveillance system is currently the most sophisticated and expansive surveillance infrastructure in the world. First, there are about 200 million security cameras that are installed across the country. In conjunction, there is also a real-name system that requires people to use government IDs to do various kinds…

Tech Firms Are Winning The AI Race Because They Understand Data – Other Sectors Need To Catch Up

Artificial intelligence is already powering much of the technology helping to drive the modern economy. AI is now an essential part of how we use the internet but can also be found in stock exchanges, advanced factories and automated warehouses. It is starting to drive our cars and even vacuum our floors. And yet only a fraction of companies which stand to significantly benefit from AI are exploiting this approach to help deliver their products and services. One important reason for this is a lack of high-quality data. Technology giants such as Google, Microsoft and Amazon have been able to…

Data

What Is It To Be Bayesian? The (Pretty Simple) Math Modelling Behind A Big Data Buzzword

If you’ve ever tripped up over the term ‘Bayesian’ while reading up on data or tech, fear not. Strip away the jargon and notation, and even the mathematics-averse can make sense of the simple yet revolutionary concept at the core of both machine learning and behavioural economics. As this video from the YouTube channel 3Blue1Brown skilfully explains, at its most basic, Bayes’s theorem is a tool for assessing degrees of probability based on prior conditions. And there are ways to make it altogether more intuitive than the statistical formulas might suggest. Although the theorem dates back to its 18th-century namesake,…

How Computers Help Biologists Crack Life’s Secrets

Once the three-billion-letter-long human genome was sequenced, we rushed into a new “omics” era of biological research. Scientists are now racing to sequence the genomes (all the genes) or proteomes (all the proteins) of various organisms – and in the process are compiling massive amounts of data. For instance, a scientist can use “omics” tools such as DNA sequencing to tease out which human genes are affected in a viral flu infection. But because the human genome has at least 25,000 genes in total, the number of genes altered even under such a simple scenario could potentially be in the…

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