Omit needless words.
Vigorous writing is concise. A sentence should contain no unnecessary words, a paragraph no unnecessary sentences, for the same reason that a drawing should have no unnecessary lines and a machine no unnecessary parts.
This famous principle also applies to science talks.
That dense wall of bullet points? Most of the audience won't read it. Those that do will immediately forget it.
When you're giving a 20 minute talk amid a week-long conference, always remember that your well-intentioned colleagues will be tired, distracted, and uninterested by default. There's a good chance that half of the audience will be staring at their laptops for at least half of your talk (look around the room next time you're at a conference - you know I'm right).
I'm convinced that, If you're lucky, the audience will remember one thing from your talk. Pick that one thing you want the audience to remember, and then assign it minimal cognitive load.
Others have written extensively about this, so I'll stop there. But remember:
Minimize Cognitive Load
In my recent talk at Snowcluster 2018, I showed many "movies" of Hα velocity structure in MUSE IFU cubes of galaxies. Velocity maps are great, of course, but showing too many during a 7:45 pm talk seemed like a bad idea. Instead, I showed movies like these:
Of course, there's loads of quantitative information lacking here (although I did show physical scale bars in kiloparsecs).
Obviously, were you writing a paper, you'd show something like these:
Rather than this:
But I think there are certainly times when a pretty, eye-catching movie comes in handy. A science talk before a tired audience is one of them.
I wrote an incredibly simple piece of code to make these movies, which you can find here. The code is specifically tailored to MUSE and ALMA datacubes, but it can trivially be altered to work for effectively any three-dimensional datacube.
The code will do an (extremely simple) stellar continuum subtraction, too:
Anyway, here's a sample gallery of various sources, most of which are cool core Brightest Cluster Galaxies. Most are pretty famous, so see if you can identify each source (mouse over each movie to find the answer).
It's also fun to watch MUSE and ALMA movies side by side: