Shimoku's blog. Where we will talk about artificial intelligence and machine learning for businesses.
Don't be left in doubt. We know that we are a complex and new product, any doubt is welcome.
A Data Product is an asset of your company. A Data Product is a PRODUCT. A Data Product is not putting data in the center but the user. Is not thought for simply sharing but for giving a proper experience so that the right people could have the right information and insights at hand to take the right decissions. A Data Product is using Data to improve operations, decissions makings and performance of individuals, organizations and society.
AI Apps are an extension of Data Apps. To share data through a web like Google Analytics is a Data App. But when that data you are sharing is partially, mostly or totally predictive data coming from AI and Machine Learning algorithms then we are talking of AI Apps.
Shimoku allows you to create AI Apps fast in few hours thanks to its predictive suites ready to forecast your KPI so that you can deliver more than historical data without needing software architecture or AI engineers or data scientists.
Google says that 50% of the companies worldwide want to share data with their clients and providers. Data Apps are needed when you want to share data with enough people so that BI tools are no longer enough, because you have multiple pages, accounts and so many cases that cannot be handled manually but with a web such as Google Analytics. In the raising era of data products, data specialist must be free to create their own data apps without further dependencies. Shimoku allows you to create Data Apps and AI Apps without needing Data Scientists, Backends, Frontends or DevOps.
To create a Data Product in the form of Data Apps and AI Apps requires large teams of highly experienced professionals. Moreover the dependences among them are complex and delivery rates are slow and tricky. Gartner says that 85% of AI initiatives fail. Shimoku allows you to build Data Products, in particular Data Apps and AI Apps in few hours, so that you reduce the risk to 0, you do it with a single Data Engineer and you do it in hours rather than years.
During a demo a customer told us: you have done in 20 minutes what would take a whole week for our full stack team. With Shimoku you just need to take your data, decide to whom you want to show and some metadata regarding what sort of chart, grid position, page in the App, and boom! Magically done with a single POST request
Shimoku already counts on ready to use algorithms for: Churn prediction, predictive Cohort, next purchase prediction, Sales forecast prediction and Anomaly detection. You can activate any of those suites for your data just by sending the training data to our API and activating the AI option. It happens all alone, and then you can retrieve that data back to your system, connect other tools (we already connect some of our precitions to email marketing campaign tools such as Hubspot, Mailchimp or Klaviyo). Actionable AI without Data Science nor MLOps nor a Data App team. A Data Engineer becomes a God.
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