Hosted by Al Martin, IBM VP of Data and A.I. Development, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
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episode 33: Making Data Simple: Little Miss Data builds a data democracy
Making Data Simple host Al Martin has a chance to discuss all thing data with Laura Ellis, also known as Little Miss Data. Laura is an analytics architect for IBM Cloud as well as a frequent blogger. Together, they talk about how critical it is to understand your data in order create specific calls to action, and what it means to build a data democracy.
Show Notes
00:00 - Follow @IBMAnalyticsSupport on Twitter.
00:22 - Check out our YouTube channel. We're posting full episodes weekly.
00:24 - Connect with Al Martin on LinkedIn and Twitter.
01:20 - Check out littlemissdata.com.
01:22 - Connect with Laura Ellis on Twitter, Instagram, and LinkedIn.
02:20 - Curious to know more about analytics architecture? Check out this IBM article on the topic.
03:52 - Check out the Little Miss Data article Al referenced here.
04:45 - Learn more about Data Democracy here in Laura's blog post.
05:31 - Understand more about the importance of data for your business in this article.
09:11 - Find out more about the challenges of being a data scientist here.
12:45 - Working with good quality data is crucial. Check out this article for more details.
16:12 - Simple data can provide the most effective returns. Learn more here.
21:15 - Choosing the right, supportive environment for your data science journey will make sure you don't get burnt out. This article examines your options.
21:35 - Data is a fundamental step when working with AI. But do you know the difference between data analytics, AI and machine learning? This Forbes article walks you through it.
22:42 - Need to brush up on what a data dashboard is? Learn more here.