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What is Honeywell’s GoDirect Trade platform and how does it work? By Sathish Muthukrishnan, Chief Digital and Information Officer at Honeywell Aerospace.
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An explosion in the growth of technologies such as AI and machine learning is transforming the balance of skills required by modern analysts, ground-breaking research from business intelligence firm AMPLYFI has found.
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A new study from Cradlepoint, the leader in cloud-delivered LTE and 5G Ready wireless network edge solutions, reveals the retail industry is still facing challenges with network downtime. Despite struggling to provide reliable network connectivity, artificial intelligence (AI) and the Internet of things (IoT) are considered the priority IT focus over the next five years.
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Research exposes the need for more education and training to develop new data scientists and ensure successful AI implementation.
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As demand for data delivery soars, edge computing & distributed networks deliver data more than 20x faster than the global market leaders.
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Research finds inadequate access to skilled talent, technology, and data is holding AI initiatives back.
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Docker is an open platform for developers and system administrators to build, ship and run distributed applications. With Docker, IT organizations shrink application delivery from months to minutes, frictionlessly move workloads between data centers and the cloud and can achieve up to 20X greater efficiency in their use of computing resources. Inspired by an active community and by transparent, open source innovation, Docker containers have been downloaded more than 700 million times and Docker is used by millions of developers across thousands of the world?s most innovative organizations, including eBay, Baidu, the BBC, Goldman Sachs, Groupon, ING, Yelp, and Spotify. Docker?s rapid adoption has catalyzed an active ecosystem, resulting in more than 180,000 ?Dockerized? applications, over 40 Docker-related startups and integration partnerships with AWS, Cloud Foundry, Google, IBM, Microsoft, OpenStack, Rackspace, Red Hat and VMware.
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