Smartocto

Would you like smartocto content strategy that helps you build a strong rapport with your audience?

Press agencies are the first to collect news, spread it to media outlets and thus make news scalable. But in the last decade this service has gradually come under pressure. Smartocto will create a powerful impact model of content and a simple interface, and will send it to multiple media outlets that can easily train the model based on their content and performance data. A segment of the model — on press agency content — can be used to inform and notify agency organisations like PAmedia. At the same time, the exchange of data from one partner to another is not necessary, only trained models increments are exchanged. He has a long standing background in digital journalism.

Smartocto

Content analytics provider smartocto BV smartocto wanted to simplify the deployment of its machine learning ML models so that it could deliver richer editorial analytics and improve its customer satisfaction. The company had been using a combination of open-source and cloud solutions to self-host its ML workloads, but this combination of solutions was becoming increasingly time consuming to manage. In , smartocto worked alongside the Amazon Web Services AWS team to build a proof of concept to test Amazon SageMaker , which gives users the ability to build, train, and deploy ML models for virtually any use case with fully managed infrastructure, tools, and workflows. A few months later, smartocto decided to migrate all its ML models to Amazon SageMaker, freeing its team to focus on innovation. In less than 3 months, the company developed and deployed a predictive editorial analytics solution called Smartify , which helps its customers create relevant, engaging content and grow their audiences. Founded in , smartocto provides content analytics to newsrooms and media companies around the world through its smartocto system, which features both near-real-time and historical data features. To drive its analytics, the company uses ML, which it supports using a combination of open-source products and AWS services, including Amazon Elastic Compute Cloud Amazon EC2 , which provides secure and resizable compute capacity for virtually any workload. Further, those teams had to complete several manual tasks as a part of the onboarding process, which made the overall process prone to human error. After completing the proof of concept, the company worked to migrate several of its existing ML models to different Amazon SageMaker endpoints, which smartocto completed in a few months. Because smartocto could support predictions in near real time, the company decided to develop Smartify, a predictive editorial analytics solution that uses ML to forecast the expected engagement, such as click rates, likes, and shares, of a news post on a particular channel. Smartocto began developing Smartify in February , and to upskill its staff and accelerate its time to market, the company engaged AWS Training and Certification , which helps participants learn from AWS experts, advance their skills and knowledge, and build their future in the cloud on AWS. The company also relied on the AWS team for technical support.

A segment of the model — on press agency content — can be used to inform and notify agency organisations like PAmedia, smartocto.

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This guide, written in collaboration with user needs evangelist Dmitry Shishkin , is part of a series on writing news stories based on the news needs approach. These six different editorial treatments of a news event, focusing on other details of the story besides the cold, hard facts, can offer more value to the reader. This has been proven on many occasions in various settings. The ultimate goal of the user needs approach is to connect to the audience in a stronger, more meaningful way - creating more engagement and loyalty in the process and increasing the relevance of your brand. We created a new User Need Model in March

Smartocto

Smartocto's real time tool is a complete content analytics solution that supports multiple business models, whether your focus is on advertising or reader revenue. Are people actually seeing and reading your stories? Or is something happening that needs your attention? The real time analytics tool tells you just that based on multiple key metrics, like pageviews, engagement and conversion. With our real time tool you are able to boost your journalistic model and online impact, grow your reader loyalty and optimise your content strategy. After all, the publication of a story isn't the end; it's just the beginning.

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After completing the proof of concept, the company worked to migrate several of its existing ML models to different Amazon SageMaker endpoints, which smartocto completed in a few months. We also use Smartocto Tentacles to test our headlines which approach produces the most loyal readers. Amazon Elastic Compute Cloud Amazon EC2 offers the broadest and deepest compute platform, with over instances and choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload. About smartocto Headquartered in the Netherlands, smartocto BV provides content analytics driven by ML to newsrooms and media companies around the world. Company Name:. The company also relied on the AWS team for technical support. Days instead of weeks needed to onboard new customers. Advertising cookies. It helps us to transform our content in a way more people want to read it, making it more usable and popular. Simplified deployment of its ML models.

Since we launched our comprehensive User Needs Model 2. Update: on 13 December , much of what we have learned about user needs came together in an Ask Me Anything webinar session. We keep receiving the same questions, which is why Dmitry Shishkin and Rutger Verhoeven took ample time to elaborate on strategy, cultural change, implementation, recognition, and artificial intelligence.

We use smartocto in our newsroom to optimise our content performance. One of the features that smartocto uses is Amazon SageMaker Studio , the first fully integrated development environment for ML. Non-necessary Non-necessary. This website uses cookies and similar techniques to deliver an optimal end-user experience. In , smartocto was considered the leading editorial analytics system of Benelux. Using Amazon SageMaker, smartocto has achieved a 10 times lower resource usage per ML model while delivering better predictions. Advertising cookies. A few months later, smartocto decided to migrate all its ML models to Amazon SageMaker, freeing its team to focus on innovation. Collaboration opportunity:. It helps us to transform our content in a way more people want to read it, making it more usable and popular.