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New Survey: Nearly Two Thirds of Analytics Projects Are Jeopardized Due to Poor Access to the Right Data

According to the 2019 Data Decisions Survey from analytics database provider Exasol, 57% of organizations have suffered because of slow or poor access to the right data, resulting in an inability to access real-time analytics and inaccurate business intelligence (BI). Full results of the survey, recently released, highlight how organizations are leveraging data to make more intelligent and productive business decisions.

Wearable AI Market to Cross USD 180 Billion Frontier by 2025

The Wearable AI Market is set to grow from its current market value of more than USD 35 billion to over USD 180 Billion by 2025; as reported in the latest study by our friends over at Global Market Insights, Inc. The explosive growth of smartwatches has been the primary factor propelling the wearable AI market. Continuous improvements in the design and functionality along with its availability at lower price increased its adoption among consumers.

Human-AI Collaboration and Autonomous Vehicle Research

It’s wonderful to see when members of the big data ecosystem team up large industry players for some late-breaking research results. Case in point, our friends over at DarwinAI recently revealed significant research results in a joint paper with German auto manufacturer Audi. The paper is titled “Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving.” The research focuses on how human-machine collaboration accelerates the design of compact deep neural networks for autonomous driving.

Despite $6.1 Billion in Funding, China Not Leading in AI Innovation

Over the past four years, Chinese artificial intelligence (AI) startups have received $6.1 billion in funding. However, despite immense amounts of investment and being second only to the U.S. in number of companies focusing on AI, China is not leading in cutting-edge AI innovation. To better understand the progress of AI in China, our friends over at Lux Research, a leading provider of tech-enabled research and advisory services for technology innovation, took a deep dive into China’s AI patents, research papers, venture capital (VC) funding, and other innovation data in their new report, “Will China Take Over the Global AI Industry?”

Best of arXiv.org for AI, Machine Learning, and Deep Learning – August 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

No degree? No Problem: US Employers Shifting Hiring Mentality for Data Skills

Job seekers owning demonstrable experience with data might soon overtake those with data science degrees when it comes to the candidates global enterprises are seeking, according to a major survey of global business decision makers commissioned by data and analytics firm Qlik, on behalf of the Data Literacy Project.

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.

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).