In our fast-paced world, communications groups face immense calls for to repeatedly produce content material throughout a number of channels and platforms. Generative AI is rising as a game-changing expertise to automate sure communications duties and enhance productiveness.
For advertising and marketing, PR, social media, and different communications professionals, generative AI allows creating preliminary drafts of press releases, weblog posts, social captions, presentation decks, speaking factors, FAQs and extra. People nonetheless fine-tune the output, however AI dramatically quickens content material creation.
On this article, we’ll go over some key ways in which generative AI is growing effectivity in communications to spice up productiveness and enterprise success.
Automate content material creation
Communications groups spend important time drafting and revising all kinds of written content material from press releases to blogs to social media captions. With generative AI, prompts may be supplied reminiscent of “Write a 150-word press launch about our new product launch” to supply a primary draft.
Whereas human overview continues to be required, this permits writers to skip manually drafting repetitive content material from scratch. It additionally helps when creating related content material for a number of platforms and areas.
For instance, utilizing a immediate like “Draft 5 social media posts asserting our CEO transition” whereas offering examples of earlier content material would shortly generate multi-channel content material in the fitting tone and voice. This then frees up time for professionals to pitch and create a robust strategy to amplify this message.
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Shortly develop presentation supplies
Growing presentation supplies like slide decks requires important time to refine messaging and content material. Generative AI can quickly produce preliminary slide outlines if supplied with key speaking factors, narratives, and information to cowl.
Communications groups can immediate the AI to “Create a 10-15 slide deck for our upcoming investor day protecting our most essential monetary metrics and development plans.” The draft slides can then be edited and customised whereas saving hours of guide improvement time.
MORE: Top 5 ways communications teams are using generative AI
Synthesize insights from surveys and interviews
Communications groups ceaselessly have to extract and summarize key insights from large volumes of data like survey responses and interview transcripts. As a substitute of combing by means of pages of notes, generative AI can overview the uncooked outputs and produce concise summaries of main themes and takeaways.
This permits environment friendly improvement of stories, speaking factors, and different supplies based mostly on stakeholder suggestions. The AI acts like an evaluation assistant — communication groups nonetheless tailor and refine the findings, however the time saved from the preliminary summarization can permit for extra concentrate on refining and perfecting the report.
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Monitor related information and occasions
Monitoring news and events associated to at least one’s firm, opponents and business is crucial however massively time consuming with out AI. Generative fashions can quickly scan 1000’s of sources and spotlight probably the most related happenings every day.
Communications groups can immediate the AI to “Summarize key information over the previous week associated to Firm X, opponents, and the software program business.” This retains groups repeatedly up to date on a hands-off foundation, saving time whereas permitting groups to by no means miss a beat.
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Create concise FAQ lists
Buyer and technical help groups generate volumes of tickets every day. Generative AI can overview these tickets and person boards to establish ceaselessly requested questions. This permits effectively creating FAQ lists and supplies to deal with widespread points proactively.
For instance, prompting the AI to “Analyze the highest 100 buyer help tickets and draft a FAQ record of 10 widespread questions and solutions” would save groups hours of guide evaluation.
Challenges and issues with generative AI
Whereas generative AI unlocks main effectivity good points, communications groups should be aware of a number of challenges:
- Data accuracy: Misinformation can spread wildly on the web, and the proliferation of generative AI has solely made that quicker. Something created or researched by AI will should be fact-checked.
- Model voice customization: AI written content material usually requires important enhancing to match an organization’s desired tone, type, and messaging. Be sure to are reviewing supplies so it meets your requirements.
- Authorized and moral dangers: Auto-generated textual content could inadvertently embrace copyrighted materials, biased language, or different points. It’s essential to fastidiously overview all content material earlier than publishing.
- Safety precautions: Strict information protocols are needed when AI accesses buyer data that might expose communications to PR crises if breached.
Whereas the dangers require governance, oversight, and accountable AI practices, if carried out prudently, generative AI can considerably enhance communications productiveness and worth.
MORE: Garbage in, garbage out: Why third party data sources matter when using generative AI
The Prospects and Limitations
Whereas promising, generative AI requires considerate adoption. Output should be fastidiously reviewed and edited to match model voice and keep away from dangers. AI ought to improve human creativity quite than absolutely substitute copywriting roles.
However utilized correctly, generative AI can considerably enhance communications productiveness and permit groups to concentrate on high-value technique and planning.
For extra insights into how generative AI is altering communications, obtain our LexisNexis® Future of Work Report 2024: How Generative AI is Shaping the Future of Work.
