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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.

Sophisticated AI Will Make The Deepfake Problem Much, Much Worse

In this contributed article, front end developer Gary Stevens suggests that the deep fake video issue is still in its infancy. As AI advances, discerning real from unreal news will become exponentially harder.

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.

Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures

A new white paper from Striim explores why hybrid-cloud, multicloud, or inter-cloud architecture strategies all need a modern, real-time data integration solution that keeps up with the speed of business. Striim is uniquely qualified to help make the journey to cloud fast and smooth. Striim simplifies moving real-time data across a diverse set of data sources and cloud targets with high-performance, security, and reliability.

Interview: KDD2019 Co-General Chairs Ankur Teredesai & Vipin Kumar

During my trip to KDD2019 in August, I had the pleasure of sitting down to chat with the co-chairs of the conference, Ankur Teredesai and Vipin Kumar. In the interview that follows, we discuss the growth of the KDD conference over the years, and also it’s changing focus. KDD is touted as being “the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.”

Research Highlight: Compressing Neural Networks with Minimal Sacrifice in Accuracy

Most data scientists soon realize that deep learning models can be unwieldy and often impractical to run on smaller devices without major modification. Our friends over at deeplearning.ai recently communicated about a group of researchers at Facebook AI Research determined a new technique to compress neural networks with minimal loss in accuracy.

When Data-Driven Meets Data Silos: Let the Fun Really Begin

In this special guest feature, Ed Thompson, CTO and co-founder at Matillion, believes that on balance, the systems that lead to having many data silos are a good thing; they indicate a business has the autonomy to choose the best systems in each department. This should make the business more efficient overall. However, the business needs data from all these systems.

Infographic: AI – SciFi To Reality

AI has been making science fiction dreams into reality for decades. Let’s take a look at some of our favorite real-life manifestations of AI in fiction. When we were growing up, science fiction books, movies, and television shows explored what was possible using science, technology and intelligent computers. These dreams are becoming reality. Our friends over at Noodle.ai decided to have a little fun exploring some of our favorites with the infographic below.

Digital Transformation Projects Continue to be at Risk, Couchbase Research Finds

Despite rising optimism in digital transformation, the vast majority of organizations are still suffering failure, delays or scaled back expectations from digital transformation projects, research from Couchbase has found. In the survey of 450 heads of digital transformation in enterprises across the U.S., U.K., France and Germany, 73 percent of organizations have made “significant” or better improvements to the end-user experience in their organization through digital innovation. Twenty-two percent say they have transformed or completely “revolutionized” end-user experience, representing a marked increase over Couchbase’s 2017 survey (15 percent).

The Massive Risk of Lock-In: How Wall Street Future-Proofs their Move to the Public Cloud

In this contributed article, Matthew Baird, Co-Founder and Chief Technology Officer of AtScale, highlights how few statements strike fear in an IT leader’s heart like “lock-in” because in most cases you’re not aware you’re locked in until you encounter a problem big enough that you are forced to reconsider your original decision. It’s at that point one of your architects drops the bomb: Changing that code/system/vendor is going to be a year-long multi-million-dollar project.