Smartocto

Would you like a content strategy that helps you build a strong rapport with your audience? In that case, the user needs-driven approach is your way to go, smartocto, smartocto. Download the playbook and supercharge your content strategy. Smartocto provides our newsroom with invaluable insights into what our readers care about and how they interact with our content.

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. One of the features that smartocto uses is Amazon SageMaker Studio , the first fully integrated development environment for ML. In less than 3 months, smartocto finished developing Smartify, and the company quickly deployed the solution to production—an estimated 6 months ahead of schedule. Using Amazon SageMaker, smartocto has achieved a 10 times lower resource usage per ML model while delivering better predictions.

Turning off certain categories can result in related functionality to stop working correctly. Advertising cookies. Amazon Elastic Compute Smartocto Amazon EC2 offers the broadest and deepest compute platform, with over instances and choice of the latest processor, smartocto, storage, networking, operating system, and purchase model to help you best match the needs of your workload, 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 Check our page and download the whitepaper if you're interested! We did a webinar about the User Needs Model 2.

Smartocto

This guide, written in collaboration with news user needs evangelist Dmitry Shishkin , is part of a series on writing news stories based on the user needs approach. The smartocto team have once again collaborated with Dmitry to expand the model of six by adding two extra user needs. The reason is pragmatic: as circumstances change, media need new approaches to tempt their audience into clicking and subscribing.

Lemax outlet

Series A, Series B. It helps us grow in a natural way and teaches us what goals we can achieve. Based on extensive historical analysis and real-time content analytics, our tool helps you get the answers. As the company continues to iterate new versions of Smartify, it will rely on AWS for needed support. Read the full review on G2. We use Smartocto for real-time dashboarding and advice to editors on how best to bring articles to the attention of our readers through various publication channels. The company also relied on the AWS team for technical support. It offers great insights on the content and gives the users suggestions what to do next. Previously, it could take smartocto a few weeks to set up one of its solutions for a new customer. Contact our experts and start your own AWS journey today. Investment level:.

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.

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. All our online editorial offices in the Netherlands and Belgium work with Smartocto on a daily basis. A few months later, smartocto decided to migrate all its ML models to Amazon SageMaker, freeing its team to focus on innovation. Now, the company can complete the onboarding process in a matter of days by using multimodel endpoints and hosting a unique ML model for each of its customers. At smartocto, Goran is working as a Senior Data Scientist, leading innovative projects and building machine learning platforms. It helps us to transform our content in a way more people want to read it, making it more usable and popular. In that case, the user needs-driven approach is your way to go. We also use Smartocto Tentacles to test our headlines which approach produces the most loyal readers. Want to know the real value of your stories? It was amazing how fast we were able to release Smartify using Amazon SageMaker. Aleksandra is certified PRINCE2 Project Manager and currently she is leading multiple different projects which involve more than 60 small and local news outlets. 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.