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[Call for Papers] Automation: The Next Frontier

Cutter Consortium

An upcoming issue of Cutter Business Technology Journal will explore automation in terms of new technologies, opportunities, applications, and associated challenges. The movement is primarily driven by advances in areas such as AI/machine learning, robotics, drones, blockchain, 3D printing and wearables. Share your insight!

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News in Networking: Apple’s New Data Center, Intel’s New Chip, and a Survey on Network Challenges

Kentik

Ericsson has new network services for IoT. Ericsson Introduces ‘Massive IoT’ Network Services Suite (ZDNet) Ericsson launched a suite of network services geared towards IoT. IT Spending Growth Accelerates as IoT, Blockchain Create New Categories of Investment (Wall Street Journal) Global IT spending is up.

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Trending Sources

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Time To Look At These Trending App Ideas Before Planning the Development

Xicom

Today, it is the Reality integrated into many industry verticals including Education, Healthcare, Air and Space, Marketing, Travel, Automotive, Real-Estate, Journalism etc. Blockchain. 9 in 10 government firms are reported to plan to invest in Blockchain landscape. The possibilities of the IoT universe is infinite.

Trends 64
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DC Inno includes AgileEngine into the 50 on Fire list

Agile Engine

Our portfolio includes projects in bleeding-edge industries like aerospace, blockchain, IoT, AR, VR, and machine learning. The list is the brainchild of DC Inno, an online magazine that’s part of the American City Business Journals. On October 10, 2019, the online magazine DC Inno featured AgileEngine on its 50 on Fire list.

Journal 14
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Precision Medicine: How Healthcare Providers Can Prepare for the Future of Medicine

Altexsoft

You don’t see it screaming at you from headlines, startups are not using it on the landing pages, and it’s slowly climbing up Garner’s Hype Cycle for Healthcare Providers , overpassed by medical IoT, Blockchain, and analytics. It exists on the pages of peer-reviewed medical journals and research papers.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

And you can use it in any environment: in the cloud, in on-prem datacenters or at the edges, where IoT devices are. Anomaly detection of IoT sensor data with a model embedded into a KSQL UDF. RPC communication between Kafka Streams application and model server (TensorFlow Serving).

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Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset

Confluent

Prior to Rockset, Shruti led product management for Oracle Cloud, with a focus on AI, IoT, and blockchain. Kai’s main area of expertise lies within the fields of big data analytics, machine learning, integration, microservices, Internet of Things, stream processing, and blockchain.