Common mistakes people make when evaluating data preparation solutions

Picking a data preparation solution is a crucial step in any big data analytics, ML or AI project, and unfortunately it’s one that is often overlooked,  rushed, or not seen as crucial. As a result, this can lead to mistakes that can cost you time, money, and valuable insights. In this post, we are going …

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10 Data Preparation Issues that can sideline AI Projects

Data preparation is one of the most important steps in any artificial intelligence (AI) project. Unfortunately, it’s also one of the most overlooked. Many organizations dive headfirst into building models without properly preparing their data, only to hit roadblocks and delays later on. In this post, we’ll cover 10 data preparation Issues that can sideline …

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Data preparation Checklist: What to consider before starting your AI or ML Project

In order for your AI and ML projects to work, the data needs to be prepared in a way that is useful. After all, garbage in is definitely garbage out when it comes to AI and ML projects. We’ve put together a quick checklist that helps you ensure that your data is clean, organized, and …

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AI Today Bonus Podcast: Jorge Torres, Founder and CEO at MindsDB

In this bonus episode of the AI Today podcast we interview Jorge Torres, Founder and CEO at MindsDB to get his perspective on explainable AI as well as what AI technologies he is excited to see come mainstream in the coming years. Relevant Links: AI Today Podcast with Jorge Torres Github Repo Addressing the ethical …

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AI Today Podcast: Insights into AutoML – Interview with Jorge Torres, Founder and CEO at MindsDB

AutoML tools are becoming more widely adopted and changing the way companies use AI. In this episode of the AI Today podcast we interview Jorge Torres, Founder and CEO at MindsDB. He shares with us how AutoML is helping accelerate machine learning model development, the trend that Developers are becoming the new Data Scientists, some …

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AI Today Podcast #130: Future of Cognitive Automation: Interview with Manish Rai, VP, Automation Anywhere

While the Robotic Process Automation (RPA) market is heating up, there are many that say that RPA is not AI per se, but rather a gateway on the path to cognitive automation. Automation Anywhere certainly agrees with this perspective, and in this interview, Manish Rai, VP of Product Marketing at Automation Anywhere shares insights into …

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AI Today Podcast #103: Insights into AI’s future with Naveen Rao, Corporate VP & GM of AI Products group at Intel

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Naveen Rao, Corporate Vice President and General Manager of Artificial Intelligence Products Group at Intel. He shares with us how various training tools have evolved over the past few years to help teams more quickly train and deploy AI models …

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AI Today Podcast #101: Live at Amazon Re:MARS – Interview with Mobiquity

In this episode of the AI Today podcast we interview Jonathan Patrizio, Head of Technical Advisory and Alexa Evangelist at Mobiquity and Randy Sanborn, Principal Solutions Architect at Mobiquity. Both guests share how the market for voice assistants has evolved over the past five years, how organizations should approach conversational applications, and more. This podcast …

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AI Today Podcast #86: Insights into Data Preparation and Labeling for AI

Garbage in is garbage out. Nothing is more true in the world of AI. The market for data labeling is growing and becoming very important as more and more companies need clean, accurate, well-labeled data for ML training. In this podcast we share key stats and insights from Cognilytica’s recent Data Engineering, Preparation, and Labeling …

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INFOGRAPHIC: Data prep and Labeling

The market for data labeling is growing and becoming very important as more and more companies need clean, accurate, well-labeled data for ML training. In this infographic we share key stats and insights from Cognilytica’s recent Data Engineering, Preparation, and Labeling for AI 2019 report including AI’s secret, the market for data prep solutions, and …

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