Mobiquity Technologies and Source Digital Announce Interactive Shoppable Video Advertising Partnership

Partnership is Intended to Redefine the Value of Impression Based Video Advertising
Mobiquity Technologies, Inc., a leading provider in next generation advertising technology, and Source Digital, a patented interactive video and advanced commerce platform, announced their partnership to integrate technologies.

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Shutterstock’s 2020 Color Trends Report Predicts Colors on the Rise

Bold, Saturated Hues Are Expected to Dominate Many 2020 Creative Campaigns, Based on Data That Matches Pixels with Image Downloads.
Shutterstock, Inc., a leading global technology company offering high-quality assets, tools and services through its creative platform, launched its 2020 Color Trends report.

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Linker Networks Extends its Auto-labeling Service to Microsoft Azure Stack Hub to Empower a New Generation of Customer Experiences

Linker Networks, Inc. (“Linker”) announced that it is bringing its AI based auto-labeling with continuous learning service to Azure Stack Hub, an extension of the Azure cloud for consistently building and running hybrid applications.

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Cloud Based Video Conferencing Service, IVCi, Discusses the Best Way to Start Your Career in the AV Technology Field

Cloud based video conferencing service, IVCi, discusses the best way to start your career in the Audio Visual (AV) technology field.
The AV technology industry is currently thriving. Therefore, a career as an AV technician is a great opportunity for someone looking to get into the technology space.

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DBSync Achieves SOC 2 Type II Compliance for its iPaaS Platform

DBSync’s SOC 2 Type II audit was based on the Trust Services Criteria for Security, Availability, and Confidentiality
DBSync, the leading provider of data integration solutions for Cloud Applications, today announced it has completed its Service Organization Control (SOC 2) Type II audit.
SOC 2 is one of the more common compliance requirements technology companies must meet today.

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NLP for Log Analysis – Tokenization

This is part 1 of a series of posts based on a presentation I gave at the Silicon Valley Cyber Security Meetup on behalf of my company, Insight Engines. Some of the ideas are speculative and I do not know if they are used in practice. If you have any experience applying these techniques on logs, please share in the comments below.

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5 key drivers for getting more value from your data

Considerations based on experience with Fortune 500 clients.As enterprises mature their big data capabilities, they are increasingly finding it more difficult to extract value from their data. This is primarily due to two reasons:
Organizational immaturity with regard to change management based on the findings of data science.

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IoT for Logistics Industry: How It Promises to Solve Major Problems

devices are going to number around 75.44 billion by 2025. The increase in IoT based technology and development support has influenced many fields to start implementing IoT based technology and devices in their business operations.
Logistics Industry: The Evergreen Industry of All
The logistics industry is the one that is always booming.

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Introducing Oracle Machine Learning SQL Notebooks for the Oracle Autonomous Data Warehouse Cloud!

Apache Zeppelin based Machine Learning SQL Notebook for Data Scientists to Collaborate in the Oracle Autonomous Data Warehouse Cloud
Overview
Oracle Machine Learning is a new SQL notebook interface for data scientists to perform machine learning in the Oracle Autonomous Data Warehouse Cloud (ADWC).

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This New [AI] Software Constantly Improves – and that Makes all the Difference

Based on a recent conversation between Joseph Sirosh, CTO for AI at Microsoft, and Roger Magoulas, VP of Radar at O’Reilly Media. Link to video recording below.
Joseph and Roger had an interesting conversation at the recently concluded O’Reilly AI Conference in San Francisco where Joseph delivered a keynote talk on Connected Arms.

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A Deep Learning Approach to Data Compression

We introduce Bit-Swap, a scalable and effective lossless data compression
technique based on deep learning. It extends previous work on practical
compression with latent variable models, based on bits-back coding and
asymmetric numeral systems. In our experiments Bit-Swap is able to beat
benchmark compressors on a highly diverse collection of images.

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