Often times what we perceive as logic contradicts reality. In psychology, this tendency of believing we know more than we actually do is known as overconfidence. Too frequently do people solely rely on their intuition and logic to make decisions rather than basing them on data and analysis. During an observational study, I discovered a contradiction between my own logical reasoning and what the data actually suggested in regards to baseball.
The movement in the market, mainly by what we consider Generation 2 companies- those born around 2008-2012- sets up the Analytics industry for the future. And a big part of that future is the implementation of Artificial intelligence (AI) and Machine Learning into virtually every aspect of our lives.
Knowi’s nifty natural language and machine learning capabilities mean we just may have stumbled upon the answer to everyone’s dreams and one that supersedes the ETL relic of old.
Creating a Classification Model for Breast Cancer Screening The UCI Machine Learning Repository contains many full data sets that can be used to test and train machine learning models. One such example is the Breast Cancer Wisconsin (Diagnostic) Data Set which relates whether breast cancer is benign or malignant to 10 specific aspects of the …
The Six Steps of Creating a Machine Learning Model in Knowi Read More »
Curious to see how mobile application development company, Skratch, is making sense of silo’d data with augmented analytics technology? Scott Bennet, CEO of Skratch, and Ronen Akiva, CTO of Skratch, share how they are benefiting – and growing their business – from data-driven decisions. Here are 5 smart takeaways about Knowi from our webinar with …
This is a 10 minute, hands-on tutorial of setting up connectivity to MongoDB Atlas and building visualizations from it using Knowi. The end result is a dashboard of restaurants near the NYC area. In a previous post, we reviewed MongoDB Atlas. CONNECTING This assumes that you have an Atlas account setup. If you don’t, go …
Knowi Predictive Analytics brings machine learning capabilities to every Data Engineer. Integrate machine learning into your analytics workflows and drive data directed actions. The platform provides two options: Out-of-the-box predictive analytics capabilities that test a dataset against a variety of forecasting models to determine the model best suited to the data, with the least Sum …
Add Predictive Analytics on Your Dataset in 3 Steps Read More »
You hear it everywhere that business teams are hungry for analytics. They crave accurate predictions and forecasts to allow them to make better business decisions, faster. The problem is data has become so complex that most of the time they have to wait for it to be analyzed and presented. They waste time waiting and …
Augmented Analytics: What It Is and Why You Need It Read More »
The Challenges of MongoDB Analytics (or any other NoSQL analytics) with Tableau First off, we are not here to bash Tableau. Tableau is an excellent analytics tool for structured relational data. Our point here is that data has moved beyond well-understood structured data and now includes semi-structured and unstructured data stored in newer NoSQL databases, …
Tableau and MongoDB Analytics: Why It’s a Bad Marriage Read More »
We had a chance to sit down with our friends at Boku recently and talk about how they are using Knowi to provide business analytics across all their teams, including product, accounts, and business development, and have recently extended their analytics as value-added product offerings to their partners and customers. If you are not familiar …
How Boku Successfully Transitioned to a Data-Driven Enterprise Using Knowi Read More »
