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Big Data Analytics Receive a “Spark” In the Arm

In this special guest feature, Anand Venugopal, head of StreamAnalytix at Impetus Technologies, discusses real-time streaming analytics applications and how companies can use Apache Spark for data processing and analytics functionality. Real-time data and analytics processes are the central nervous system of today’s enterprise, which makes it no surprise that the global revenue in the business intelligence (BI) and analytics software market is forecast to reach $22.8 billion by the end of 2020.

Interview: Dr. Yu Xu, CEO and Founder of TigerGraph

I recently caught up with Dr. Yu Xu, CEO and Founder of TigerGraph, to discuss the genesis of graph analytics, how the technology has evolved over time, how it’s being used today, along with a sense for where the graph market is headed.

Interview: Jim Scott, Director, Enterprise Strategy & Architecture at MapR

I recently caught up with Jim Scott, Director, Enterprise Strategy & Architecture at MapR, to discuss blockchain, at its core a Shared Distributed Ledger with strict, yet customizable rules detailing how to place information into the ledger. The foundational pieces that comprise this model are already in place in one fashion or another within most enterprises.

Octo Telematics Transforms the Insurance Industry with Machine Learning and Analytics Platform

Octo Telematics, a leader in telematics for insurance companies, is introducing innovations for insurance by aggregating 186 billion miles of driving data from connected cars and using Cloudera Enterprise to predict and model driver risk.

Interview: Kobi Stok, Vice President, Product at WalkMe

I recently caught up with Kobi Stok, Vice President, Product at WalkMe, to give an insiders view for how his company is using AI to predict how/when you’re using a mobile app, and how companies can use this info to push customized campaigns to prevent someone from leaving the app.

Non-profit Safety Regulator uses Machine Learning to Improve Public Safety

In this machine learning use case, we take a look at Technical Safety BC, an independent, self-funded organization that oversees the safe installation and operation of technical systems and equipment across the province of British Columbia in Canada. The not-for-profit organization recently partnered with data science software maker Dataiku to introduce more sophisticated machine autonomy to their hazard identification process. The partnership enables Technical Safety BC to build machine learning and advanced analytics-based solutions faster and more accurately, allowing the company to better target areas of high risk.

Interview: John Purrier, CTO at CA Automic

I recently caught up with John Purrier, CTO at CA Automic, to discuss the affect artificial intelligence (AI) will have this year on business processes. John is Chief Technology Officer at CA Automic, a leader in business automation software (acquired by CA Technologies) where he is responsible for driving Automic’s automation strategy.

Commonsense Understanding: The Big Apple of Our AI

In this field report, contributor Howard Goldowsky provides a detailed report from two New York City AI Conferences with a focus on: Artificial General Intelligence Research Backs Away from Back-propagation to Leverage Logic, Physical and Social Models of the World.

Big Data, Hadoop & Cloud: Tackling a Chain of Emerging Challenges

In this special guest feature, Chandra Ambadipudi, CEO of Clairvoyant, provides a compelling tour de force through the recent history of the big data industry and how Hadoop and the cloud have made steady acceleration possible. Also offered are recommendations for how to address several challenges faced by enterprises with respect to big data cloud implementations.

Scaling a Small Data Team with the Power of Machine Learning

In an effort to continue to grow their business in existing and new markets, DAZN – a live and on-demand sports streaming service – wanted a fast, low-maintenance way to enable their small data team to run predictive analytics and machine learning projects at scale. In this case study, we’ll see how the company turned to Amazon Web Services (AWS) and Dataiku in combination for their simplicity in setup, connection, integration, and usability.