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Big Data and Its Role in the Waste and Recycling Industry

In this contributed article, freelance human Avery Phillips believes that the advent of big data is making the whole process of recycling and waste management much easier. In fact, big data has impacted many industrial and scientific realms in ways that benefit the environment. For example, it is regularly used to help scientists and land managers gain a better understanding of our changing environment and ways to combat climate change.

Current Trends in Healthcare Data & Research

In this contributed article, Magnolia Potter describes how as the world continues to become more interconnected, the valuable data generated can be used by the healthcare industry to continue improving patient outcomes, develop new treatments, and even predict public health crises before they become an issue.

Manufacturing Industry Predicted to Benefit Most from Artificial Intelligence Technology

It’s widely agreed that the implementation of artificial intelligence is vital for future growth, but just how much impact can AI have across industries? RS Components has analyzed data from Mckinsey’s Global Institute to see how much revenue growth AI innovative companies can expect to see when compared to businesses who fail to invest in the technology. The full findings are found in a report, “AI Industry Boost – Which Industries will Benefit the Most?”

Scylla Summit 2019 Comes to San Francisco in November

Scylla community members are invited November 5-6 to Scylla Summit 2019 in San Francisco. Use discount code InsideBigData50 to save 50% on a 2-day summit pass. “See us unveil our latest features, including Lightweight Transactions and Change Data Capture, learn about product-ready capabilities beyond what’s available in Cassandra, like Workload Prioritization, Materialized Views and Global Secondary Indexes, and get a preview of Project Alternator, our open source DynamoDB-compatible API.”

Cerebri AI Launches Cerebri Values CX v2 Platform

Cerebri AI, announced the official launch of its second-generation Cerebri Values Customer Experience platform (CV/CX v2), which is now in the hands of customers and in full production. CV/CX v2 insights, brand commitment - Cerebri Values and Next Best Action{set}s are all driven by patent-pending object-oriented AI and reinforcement learning modelling methods. Our technology can time, sequence and value up to four events, rendering ‘rules-based’ and ‘AI-lite’ technology obsolete for driving maximum results.

Symphony AyasdiAI Launches Next-Generation AI Solution for Anti-Money Laundering

Symphony AyasdiAI announced the launch of Ayasdi AML, an advanced anti-money laundering (AML) solution that significantly boosts efforts to combat fraudulent money laundering schemes. Ayasdi AML uses state-of-the-art unsupervised machine learning technology to increase detection accuracy and reduce investigative volumes by more than 20 percent.

The Data of Behavior & Neuroplasticity

In this contributed article, Magnolia Potter explains how behavioral science is starting to play an impressive role in data science and vice versa. Many scientists and other healthcare professionals believe big data collection can help identify behavioral trends in society and more easily pinpoint causes. This can lead to greater success in behavioral training and in creating a more effective learning technique to change negative behaviors and alter neuroplasticity.

Alternative Data in Payments Processing: The NextGen Payments Trend Increasing Customer and Retailer Loyalty

In this special guest feature, Gary Read, Import.io CEO, discusses how leading payments processors have already discovered the value of web data and are using web data to create a better experience for both the consumer and the retailer with heightened transparency to reduce fraud and personalized shopping experiences. As more payment processors integrate web data into their mobile and web solutions, more consumers will benefit from the “frictionless finance” achieved through customized digital user experiences while retailers build brand loyalty, increase customer touch-points and create the personalized experience consumers desire.

Models for Thinking: An Example of Why Data Sciences Increasingly Need the Humanities

Parsing such large-scale data sets – classifying genomic sequences, mapping forms of advertisement, observing online discussions, etc. – is a matter of organization: How do you make sense of, and classify, these clusters of information? The answer, often, is to configure them into abstract but coherent topics.

Making Use of Under-Utilized Big Data in the Insurance Industry

In this special guest feature, Adam Bratt, CTO and Co-Founder of Indio Technologies, points out that the topic of big data in insurance has been an emerging hot topic over the last year. Insurance is directly related to most people as it deals directly with personal safety of health, life, and assets and for companies, it’s all of the company’s assets and how the business is run, the likelihood of success, etc. The implementation of big data analytics has been an important one. In the InsurTech industry, Big data analytics can be incredibly helpful for companies, however, privacy is a big concern for consumers.