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Best practices for building an AI serving engine

One of the most critical steps in any operational machine learning (ML) pipeline is artificial intelligence (AI) serving, a task usually performed by an AI serving engine. By Yiftach Schoolman, Redis Labs Co-founder and CTO.

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Overcoming AI challenges in 2021

Gurpreet Purewal, Associate Vice President, Business Development, iResearch Services, explores how organisations can overcome the challenges presented by AI in 2021.

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How and when to adopt AI – a digital maturity model

Now more than ever, digital transformation (DX) has become a strategic priority for every organisation. By Ash Finnegan, digital transformation officer, Conga.

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To embrace automation, businesses must build trust in technology

Automation is disrupting the very nature of how humans work. AI, cloud computing, bots, robots, cybersecurity and real-time data appear in headlines every day and have built a dual reputation as both a villain and a saviour; they disrupt industries, eliminate jobs and – yet – are also responsible for creating tremendous value. By Sherif Choudhry, Managing Director, BCG Platinion.

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Docker on IoT devices

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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