Getting Started with Iguazio Data Science Platform
An overview of the Iguazio (https://www.iguazio.com/) Data Science Platform and how to use it to build and deploy AI-based applications
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Iguazio Customer Testimonial: Quadient
Learn how Quadient, the leading provider of meaningful customer experiences, uses Iguazio (https://www.iguazio.com/) to unify any data type for real-time machine learning applications while saving man-years in development with an-out-of-the-box data science toolkit.
Josh Baer from Spotify about CI/CD for Machine Learning
Josh Baer from Spotify talks to Iguazio (https://www.iguazio.com/) CEO Asaf Somekh about the challenge of bringing CI/CD to machine learning
How to Gather Data for Machine Learning
Unless you’ve been living in a cave these last few months (a cave that somehow carries sufficient WiFi coverage to reach our blog), you’ll doubtless have heard about machine learning. If you’re a developer, chances are you’re intrigued. The machine learning algorithm, which solves problems without requiring detailed instructions, is one of the most exciting technologies on the planet.
Part 4: How machine learning, AI and automation could break the BI adoption barrier
In the last three parts of this four-part series, we have looked at: research on the state of analytics today and the lack of BI adoption; the history of BI and how we have arrived at the augmented era; and the four main blockers to BI adoption that is stunting the growth your business data culture. Today, let's take a look at how AI and machine learning (ML) can close that adoption gap.
Machine Learning with BQML - Take5
You don't have to be a data scientist or a developer to start using machine learning. Join Trevor and Stephanie as they show you how to easily get started with BigQuery Machine Learning, even without a Computer Science degree. Try it out for yourself!
Part 3: How machine learning, AI and automation could break the BI adoption barrier
In the first blog post of the series, we saw the dire state of analytics adoption. This problem feeds into the low usage and governance of data across organizations. Then, in the second post, we saw how the evolution of analytics has brought us to a prime position for augmented analytics. But will this new wave of augmented analytics break through the barriers to BI adoption?
Part 2: How machine learning, AI and automation could break the BI adoption barrier
If, as we saw in part one of this series, 77% of businesses are 'definitely not' or 'probably not' using analytics to its full extent and the adoption rate of analytics platforms is an abysmal 32%, something drastic needs to happen. Can the era of augmented analytics with its machine learning and AI fix this adoption issue?
New Machine Learning Research on Learning With Limited Labeled Data
Cloudera Fast Forward Labs’ latest machine learning research report introduces a new machine learning capability that relaxes the stringent labeled data requirement in supervised machine learning thereby opening up new product possibilities.
Part 1: How machine learning, AI and automation could break the BI adoption barrier
Can we fix the plague in analytics with AI? Every Business Intelligence (BI) and analytics vendor is integrating a form of artificial intelligence (AI), machine learning algorithm (ML), and natural language generation (NLG) into their products. 'Augmented analytics', is the hot new topic and full of hype right now, but can it fix the fundamental flaw that has plagued BI tools for decades - adoption?