The ROI Rules of AI: Marketing the Grammys With AI (Sponsored Content)
Everywhere you turn, there’s another headline about Artificial Intelligence. But how do companies make money with AI? We’re exploring how companies of all sizes are using AI to remake their operations, increasing their return on investment and that of their customers. This episode is sponsored by IBM.
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2024-11-17
9 min
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Since you're a subscriber to this Bloomberg podcast, we thought 0:00:03.760 --> 0:00:07.240 you'd be interested in a new four episode sponsored podcast 0:00:07.360 --> 0:00:12.400 called The ROI Rules of AI. Produced by IBM and 0:00:12.440 --> 0:00:16.520 Bloomberg Media Studios. It explores how business leaders are thinking 0:00:16.560 --> 0:00:21.759 about the return on investment of artificial intelligence projects. You 0:00:21.800 --> 0:00:26.200 can subscribe wherever you listen to your favorite podcasts. Here's 0:00:26.320 --> 0:00:30.560 a recent episode. It's the first Sunday in February and 0:00:30.640 --> 0:00:34.000 a Los Angeles arena is packed from music's biggest night, 0:00:34.479 --> 0:00:39.320 the Grammy Awards. Millions of fans worldwide are tuning in 0:00:39.479 --> 0:00:42.560 to see which of almost nine hundred artists will bring 0:00:42.600 --> 0:00:46.640 home the Golden Gramophones in close to one hundred categories. 0:00:59.000 --> 0:01:02.600 But as the show's you've only had three months since 0:01:02.600 --> 0:01:06.119 the nominations were announced. To promote the best of music 0:01:06.200 --> 0:01:12.560 this year across every genre and on every conceivable digital platform, 0:01:12.840 --> 0:01:16.280 the National Academy of Recording, Arts and Sciences faces that 0:01:16.400 --> 0:01:17.559 challenge every year. 0:01:18.440 --> 0:01:23.039 Attention is in short supply, but we depend on that 0:01:23.160 --> 0:01:26.440 as an organization, not just for the awards, but ultimately 0:01:26.480 --> 0:01:28.600 for all the other activities that we're doing that are 0:01:28.640 --> 0:01:34.920 there to celebrate. An advocate for creators, capturing audiences is 0:01:34.959 --> 0:01:38.480 an important challenge that any organization has. 0:01:38.800 --> 0:01:42.920 That's panos A Pina, President of the Recording Academy. To 0:01:43.000 --> 0:01:46.959 address that challenge, the Academy partnered with IBM to create 0:01:47.000 --> 0:01:51.520 an AI powered content engine that could quickly create social 0:01:51.560 --> 0:01:56.160 content and insights about every Grammy nominee during the Compressed 0:01:56.240 --> 0:02:02.280 Awards season from IBM and Bloomberg Media Studios. This is 0:02:02.320 --> 0:02:06.480 the ROI Rules of AI and I'm your host Edward Adams. 0:02:07.480 --> 0:02:11.359 On this podcast, we're exploring how organizations of all sizes 0:02:11.720 --> 0:02:15.799 are using AI to remake their operations, increasing their return 0:02:15.840 --> 0:02:24.920 on investment and that of their customers. Penay graduated from 0:02:25.000 --> 0:02:28.639 Boston's prestigious Berkeley College and Music with a degree in 0:02:28.760 --> 0:02:32.919 Music Business Management, and later served as the institution's senior 0:02:33.000 --> 0:02:37.880 vice president of Global Strategy and Innovation, overseeing its campuses 0:02:37.919 --> 0:02:42.239 in New York City, Valencia, Spain, and Abu Dhabi. He's 0:02:42.280 --> 0:02:48.079 also an amateur guitarist and trombonist. The nonprofit Recording Academy 0:02:48.160 --> 0:02:52.120 is composed of twenty two thousand members, not just performers, 0:02:52.400 --> 0:02:56.840 but songwriters, arrangers, engineers, producers, and everyone else in the 0:02:56.919 --> 0:03:02.079 music creative community. It advocates on public policy issues affecting music, 0:03:02.639 --> 0:03:07.680 undertakes educational activities, and supports musicians in need through its 0:03:07.760 --> 0:03:12.440 Music Cares philanthropy. But it's best known for celebrating excellence 0:03:12.639 --> 0:03:16.880 at the annual Grammy Awards. The Recording Academy has a 0:03:16.919 --> 0:03:20.960 five person editorial team, but their need for content about 0:03:21.000 --> 0:03:24.920 Grammy nominees outstrips their ability to create it during the 0:03:24.919 --> 0:03:28.840 busy Awards season. Having worked with IBM on a variety 0:03:28.840 --> 0:03:32.440 of projects stretching back almost a decade, the Academy saw 0:03:32.480 --> 0:03:37.240 this as an opportunity to use IBM's what'sonex technology as 0:03:37.240 --> 0:03:38.520 a force multiplier. 0:03:39.320 --> 0:03:43.640 I've always seen technology as a great amplifier of human creativity, 0:03:44.080 --> 0:03:47.560 so in collaborating with Watson X, we've been looking to 0:03:47.720 --> 0:03:53.000 amplify the capabilities of our own editorial team. From our standpoint, 0:03:53.200 --> 0:03:59.760 every nominee, every genre, irrespective of whether it's popular or not, 0:04:00.640 --> 0:04:02.160 deserves its. 0:04:02.200 --> 0:04:05.000 Own moment in the sun, its own celebration. 0:04:05.360 --> 0:04:08.720 This is where our collaboration with Watson X can be 0:04:09.160 --> 0:04:14.120 extremely transformational in our ability to celebrate not only a handful, 0:04:14.200 --> 0:04:16.920 but every single one of our nominees. 0:04:21.000 --> 0:04:24.000 IBM in the Recording Academy began the two month project 0:04:24.240 --> 0:04:28.640 using large language models and then infused them with all 0:04:28.720 --> 0:04:31.719 the content and data the Academy had created over the 0:04:31.800 --> 0:04:36.760 years about nominees. That also changed the role of the 0:04:36.800 --> 0:04:41.359 Academy's editorial team from that of reporters and writers to 0:04:41.480 --> 0:04:44.960 becoming editors who checked every piece of content created for 0:04:45.080 --> 0:04:50.320 accuracy and the Grammys brand voice. 0:04:49.000 --> 0:04:52.799 Our people and they're absolutely hands on. It's always great 0:04:52.839 --> 0:04:55.359 to have a human editor taking a look. 0:04:56.160 --> 0:04:59.960 Content range from artists insights to enhance the Grammy livestream 0:05:00.080 --> 0:05:05.680 viewing experience, to social assets about various award categories and nominees. 0:05:06.680 --> 0:05:10.480 We generated over four million impressions across our social channels 0:05:11.120 --> 0:05:16.120 and over one million views on live dot Grammy dot 0:05:16.120 --> 0:05:22.960 com during our live stream. 0:05:23.080 --> 0:05:27.200 The project delivered the Recording Academy's most valuable commodity, the 0:05:27.279 --> 0:05:28.920 attention of music fans. 0:05:29.279 --> 0:05:33.320 Says Peney, the single most important currency today is attention 0:05:34.200 --> 0:05:38.599 and ultimately all of us. Whether your corporation that's selling 0:05:38.600 --> 0:05:41.640 a widget or whether you are an organization like the 0:05:41.680 --> 0:05:46.920 Recording Academy, the intelligent creation of content is a megaphone 0:05:47.360 --> 0:05:48.719 for your activities. 0:05:50.000 --> 0:05:53.159 The Recording Academy had set itself up for success in 0:05:53.279 --> 0:05:57.760 two ways before ever undertaking the Content Engine project. According 0:05:57.760 --> 0:06:01.400 to Brian Fallon, vice president of Data, AI and Automation 0:06:01.960 --> 0:06:05.680 for the US National Market at IBM. 0:06:05.480 --> 0:06:10.760 One, they were maniacally focused on the quality of their data. Right, 0:06:10.800 --> 0:06:14.279 That's the basis of everything, because what you're going to 0:06:14.400 --> 0:06:16.640 put into this is what you're going to get out 0:06:16.680 --> 0:06:18.719 at the end. And they already had done that in 0:06:18.760 --> 0:06:24.320 a meticulous fashion. Two, they had set a policy for 0:06:24.360 --> 0:06:27.000 how they were going to use AI. I would encourage 0:06:27.040 --> 0:06:29.520 every company to do this. We've done it inside IBM. 0:06:29.880 --> 0:06:32.560 You've got to understand what your guide rails are so 0:06:32.600 --> 0:06:35.640 that you know what you can solve with the technology 0:06:35.720 --> 0:06:38.400 versus what you're going to require humans to do. 0:06:39.080 --> 0:06:42.880 AI has the ability to unlock value from existing data 0:06:43.000 --> 0:06:44.839 that is in a variety of formats. 0:06:45.160 --> 0:06:49.080 Falon says the data challenges that the Academy face was 0:06:49.120 --> 0:06:52.800 not much different than other organizations. It's multimodal in terms 0:06:52.800 --> 0:06:58.640 of not just binary data. It's videos, it's locked in PDFs, 0:06:58.760 --> 0:07:01.480 presentations across many forms. 0:07:01.920 --> 0:07:05.120 How do you unlock that and unleash. 0:07:04.760 --> 0:07:09.280 The power of that data to your internal constituents and 0:07:09.320 --> 0:07:12.400 your external clients? That's really what we were able to 0:07:12.480 --> 0:07:13.920 do with this project. 0:07:14.800 --> 0:07:17.560 Writing content about Grammy nominees is one of. 0:07:17.520 --> 0:07:22.760 Those moments that matter, Moments that are highly repetitive but 0:07:23.000 --> 0:07:27.600 manual in nature, and frankly, ones that your internal and 0:07:27.640 --> 0:07:31.600 external clients complain about. Those typically are the use cases 0:07:31.640 --> 0:07:34.320 where we want to start and then we work backwards 0:07:34.360 --> 0:07:38.280 to utilize the data both known and unknown internal to 0:07:38.320 --> 0:07:41.960 the organization and perhaps externally available to help go solve 0:07:42.000 --> 0:07:45.360 those challenges. Leveraging the power of generative AI and automation. 0:07:46.520 --> 0:07:49.760 For the Recording Academy, the return on investment in their 0:07:49.800 --> 0:07:53.960 AI powered content engine ultimately wasn't just a means to 0:07:54.040 --> 0:07:57.800 create a lot of content, but a means to communicate 0:07:57.840 --> 0:08:01.640 with its audience on an emotional level. Panay says it 0:08:01.760 --> 0:08:05.520 gave music fans a little taste of what he experiences 0:08:05.560 --> 0:08:08.800 every year behind the scenes at the awards ceremony. 0:08:10.040 --> 0:08:12.760 In terms of being in the room during the Grammys, 0:08:12.880 --> 0:08:16.680 it's one of the most amazing experiences, frankly, you'll ever have. 0:08:16.760 --> 0:08:19.080 I've been in the music industry for thirty years. 0:08:19.920 --> 0:08:24.160 There's not been a Grammy Night that I've attended that. 0:08:24.520 --> 0:08:25.840 Didn't blow me away. 0:08:26.280 --> 0:08:31.360 Even sometimes among the most celebrated stars getting a Grammy 0:08:31.480 --> 0:08:32.840 and what it means to them. 0:08:33.240 --> 0:08:35.240 It's really touching on your obituary. 0:08:35.280 --> 0:08:38.200 If you want a Grammy, it will be likely either 0:08:38.200 --> 0:08:39.559 in the title or in the first line. 0:08:40.080 --> 0:08:44.439 So being in the room when somebody's. 0:08:43.920 --> 0:08:52.440 Life truly changes, that specialness doesn't go away. Ultimately, music 0:08:52.640 --> 0:08:57.280 is an emotional thing and for us, connecting with audiences 0:08:58.600 --> 0:09:02.960 around that is extremely important. The program with Watson X 0:09:02.960 --> 0:09:06.640 and the Recording Academy captures everything we want to be 0:09:06.800 --> 0:09:10.000 and the stories we want to develop. As a means 0:09:10.080 --> 0:09:12.880 of creating that emotional engagement. 0:09:17.160 --> 0:09:20.559 This has been the ROI Rules of AI, a podcast 0:09:20.600 --> 0:09:24.320 from IBM and Bloomberg Media Studios. If you like what 0:09:24.400 --> 0:09:28.720 you hear, subscribe and leave us a review. I'm Edward Adams. 0:09:29.160 --> 0:09:30.000 Thanks for listening.
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