This week, we’ve gathered articles that examine the talent shortage in data science. We explore the importance of data visualization to reveal insights for your organization. We learn seven ways to overcome challenges when introducing AI to your business. We provide a list of resources that will help ordinary people learn about AI. And finally, we examine how automation and AI will change the nonprofit world.
How to Solve the Talent Shortage in Data Science
By Emilia Marius, commentary for InformationWeek.com
The need for data science professionals is rapidly increasing. But very few people have academic qualifications in the field. Data science is reshaping the job market through fierce competition between companies for top talent. Because the talent pool with specific qualifications is so small, filling the positions will mean recruiting candidates from other fields. Learn how this can be done and things that need to be considered.
Seeing (Data) is Believing
by Ajay Gupta, community contributor for MarTechAdvisor.com
Building a visual framework and uncovering a narrative will help reveal the insights in your data sets to propel your business to big wins. This ensures your internal teams and external partners have the insights they need to be successful. Many analysts have the skills to compile a data set, but some have difficulty grasping how to take stagnant data and truly tell a meaningful story that resonates with targeted audiences. When it comes to data visualization, seeing is believing. The challenge is how to get there—here are a few ways to do that.
Seven Ways to Jump-Start AI
by Harsh Dhundia, commentary for InformationWeek.com
Artificial intelligence (AI) can offer competitive advantages, but it’s not easy to drive success without understanding how to overcome the challenges. It will drastically change the way businesses do things, but this will inevitably present some challenges. There’s no shortage of reports on enterprises investing in AI, but there are relatively few details about lessons learned, and what can be done to improve the design of those AI plans. Here are seven ways to overcome inherent technical challenges, organizational barriers and, a lack of precedent for AI pilot programs.
AI For Ordinary Folks
by Kevin Gray, contributor for KDNuggets.com
There’s an endless amount of information out there about artificial intelligence. But much of it is extremely technical and beyond the level of what ‘ordinary folks’ need to know. If you’re looking to learn about AI from a non-technical, non-mathematical perspective, this helpful article can help. Get a list of articles, podcasts, books, and resources that cover AI in a less technical way.
How Will Automation And AI Change The Nonprofit World?
by Forbes Nonprofit Council, expert panel written for Forbes.com
Automation, artificial intelligence, and machine learning are improving processes, increasing efficiency, and aiding decision-makers in all industries. As these tools become more advanced, there will be a greater number of potential applications, including the nonprofit sector. Here are seven predictions from the Forbes Nonprofit Council how they foresee a nonprofit world powered by automation and AI.
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