Smartocto

Would you like a content strategy that helps you build a strong rapport with your audience? In that case, smartocto, the user needs-driven approach is your way to go, smartocto. Download the playbook and supercharge your content strategy. Smartocto provides our newsroom with invaluable smartocto 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. In he was one of the first professional web editors of the Netherlands, and has a year track record in management, research and teaching among others at Leiden University , training and consultancy to professional media organisations and marketing teams.

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.

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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. Check out our real-time features:. By the way Want a clear example of how a Dutch newsroom optimises a story post-publication, using our smart notifications? Another functionality within our real time tool is 'Conversions'.

Smartocto

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. Watch the recording! In this part, we talk about the user need 'Educate me', sharing useful formats, writing tips and - critically - when to use this approach. Many traditional news stories are written based on an assumption about the readers' prior knowledge about the subject.

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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. Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. User needs are extremely valuable for our paid content strategy. You also have the option to opt-out of these cookies. Days instead of weeks needed to onboard new customers. Using Amazon SageMaker, smartocto has achieved a 10 times lower resource usage per ML model while delivering better predictions. He has 19 years of experience in the field of data engineering and data science in banking and media industry. This category only includes cookies that ensures basic functionalities and security features of the website. Amazon SageMaker Studio Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps, improving data science team productivity by up to 10x.. Increased monthly cost savings by hundreds of dollars. Read the full review on trustradius. Functional cookies.

There simply was no other option. So how did a bunch of newsroom editors, heads of digital, and media folk end up developing an editorial analytics tool?

Aleksandra covers the fields of project and people management. Following the arrival of ChatGPT a year ago, newsrooms are finding a better balance between investing in AI and exercising caution. Does the number of words in the headline matter? Smartocto Architecture Diagram Close. Learn from AWS experts. Data-rich insights are essential, but you need more than just numbers for a data-informed approach: you also need to know how to act on them. 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. Artificial intelligence Inviting newsrooms into the AI era Smartocto launched smartocto. Mannheimer Morgen. Using Amazon SageMaker, smartocto has achieved a 10 times lower resource usage per ML model while delivering better predictions. So for optimising our short-term performance, what can we do now to immediately become better at what we do, smartocto is indispensable.