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Infographic: It’s 2020, is your business AI-ready?

60% of business leaders urgently need a strategy for deploying artificial intelligence in their organizations, but only half of their organizations have a plan. This infographic by our friends over at Noodle.ai outlines what AI can do for businesses and how to go about implementing a plan.

Beyond the AI Hype: Four Factors Businesses Should Consider Before Investing in AI

Despite significant hype, most companies still struggle with how to successfully integrate artificial intelligence into their businesses, according to Lux Research’s new report on the state of AI and how companies can improve decision-making around AI.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

30 Influential AI Presentations from 2019

Our friends over at RE•WORK put on some amazing AI summits around the country and the world. The company has graciously made some of their top presentations from 2019 available for the data science community to freely view.

2019 U.S. Emerging Jobs Report

In the third annual LinkedIn Emerging Jobs Report, AI Specialist took the number one spot, with 74% annual growth in hiring for this role in the past four years. Below, Romer Rosales, Senior Director of Artificial Intelligence at LinkedIn, shares skills that are important for AI Specialists and thoughts on the massive growth of this position.

The Ultimate Guide to Data Visualization

“The Ultimate Guide to Data Visualization” eBook by Inzata, discusses how data visualization is all about communication. With clear, easy to read charts and visuals, the information can be effectively read and understood. This guide discusses the different types of visualizations, the appropriate time to use each one, and how to design visuals that will communicate the data clearly.

Infographic: State of Big Data in Business

Small businesses are constantly collecting pockets of data, but are they using it correctly and getting the most of the data for better business decisions? Our friends over at GetApp recently surveyed 488 business leaders to find out the state of big data in business and areas of improvement in 5 different industries: Accounting, Marketing, Sales, Healthcare, and Information Technology. After reporting on their results throughout the year, they’ve shared some noteworthy statistics in the infographic below.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – November 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Overcoming Obstacles to Machine Learning Adoption

Our friends over a H2O.ai have sponsored a new Business Impact Brief from 451 Research – “Overcoming Obstacles to Machine Learning Adoption.” The brief highlights the organizational barriers to machine learning adoption from 451 Research’s Voice of the Enterprise: AI and Machine Learning 2H 2018 survey, asking the question: “What are your organization’s most significant barriers to using machine learning?”

Ethical AI: Five Guiding Pillars

This new white paper addresses the fact that today’s leaders are faced with a true conundrum: how can the enterprise benefit from new opportunities created through artificial intelligence while still safeguarding the well-being of employees, customers and society?
To help guide leaders through this paradox, which is growing ever-more complicated and relevant, KPMG has identified five proposed actions organizational leaders can take to create an ethical enterprise and sustain it into the future through governance and control of AI.