Editorial
The Gist
- Generative AI in technology. AI in tech enhances productivity, saving companies 34 work days/month.
- Developer relief: Generative AI alleviates global developer shortages, streamlining development.
- Enhanced creativity.Generative AI empowers teams to focus on innovative tasks, improving customer experiences. With more attention, publicity, and hype comes more scrutiny.
One thing is abundantly clear about generative AI so far — companies that use the technology in the right way will be far more productive.
Technology companies and martech organizations working with artificial intelligence (AI) and generative AI, specifically, can attest to that.
Consumers and the US government alike are keeping a close watch on AI as it pertains to privacy and job displacement, but one thing is abundantly clear about generative AI so far — companies that use the technology in the right way will be far more productive.
Of the nearly 450 global brands and 180,000 AI users surveyed in our 2023 State of Visual Media report, 68% reported that AI improved the efficiency and productivity of their work. In addition, automation saved the surveyed companies an average of 34 days of total work per month, when efficiencies were added across all team members.
The research proves that using generative AI in technology doesn’t replace workers, it makes them more productive. But what about generative AI specifically?
Generative AI in Technology: Alleviating Pressures of the Developer Shortage
Like many industries, consumer goods companies across the globe are facing a developer shortage. For brands and companies dealing with a developer shortfall, generative AI is proving to be much more than hype — it’s a critical resource to boost production, enable developers to create maximum value, and save bottom lines.
Referring back to our State of the Visual Media report, 99% of the developers surveyed said generative AI has the potential to improve the developer experience overall. In fact, 64% said that generative AI tools are already helping them streamline development.
It might seem like a giant leap for mankind, but the experts building the online experiences of today and tomorrow simply view it as another powerful tool for automating tedious and time-consuming work. Instead of spending time on work that doesn’t take full advantage of their skills, they can rely on the AI to do it for them so they can focus on more complex and important challenges.
Learning Opportunities
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Supercharge Contact Center Efficiency with Generative AI
Learn practical strategies to reduce post-call documentation time by over 8 minutes.
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May
1
Qualtrics X4 Salt Lake City 2024
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May
2
Unleash AI for Crisis Management: Transform Threats into Triumphs
Learn how Sprinklr Insights provides real-time insights on current events, trends, and brand crises to empower your team.
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May
9
Driving Customer-Centricity in the Financial Services Industry
Discover how financial organizations are leveraging generative AI technologies.
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Conference
May
9
An Irish Roundtable in the Valley: The Economic Impact of AI on the World of Work Stanford 2024
Exploring the Impact of AI On the World of Work with Irish diaspora leaders and tech business champions from the North of Ireland
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Conference
May
13
Gartner Marketing Symposium/Xpo Conference London 2024
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But it’s not just developers who can accelerate their impact when supported by generative AI.
Related Article: Generative AI Technologies: Now and in the Future
Making an Immediate Impact on Productivity
Generative AI tools make it possible for nontechnical users to quickly and reliably execute tasks that until now have either taken them a long time to do, or that they couldn’t do themselves and were the exclusive domain of developers. Now, depending on the complexity of the task, the scale of deployment and the bandwidth available to individual teams, tasks can be strategically allocated between technical and non-technical teams much more efficiently — which means dynamic new experiences can be brought to market much faster.
Examples of tasks that generative AI can help teams execute faster and more easily include:
- Producing informational copy for product listings on web pages.
- Populating meta descriptions for blogs and web copy to meet SEO guidelines and optimize discoverability.
- Deploying intelligent customer service chatbots that provide more conversational customer interactions than the rigid, rules-based, menu-style experiences that frustrate many consumers.
- Attaching metadata to visual assets to help teams find images faster, or adding subtitles to videos to improve accessibility and social media engagement.
- Editing images, videos and audio on the fly to create far more dynamic content for users — while ensuring each is published in the ideal format and quality on every device.
Importantly, these are all things generative AI can and does already enable today, not just hopeful promises for the future.
Related Article: How to Pick the Right Flavor of Generative AI
Enabling More Engaging Customer Experiences
Using generative AI in technology to manage time-consuming, task-based work elevates the entire customer experience and unleashes both the developer and non-technical teams to take on bolder and more impactful initiatives. In other words, teams supported by generative AI spend more time imagining and building a greater customer experience — not just maintaining the one they already offer.
The world’s most innovative and successful companies are already taking advantage.
And in that regard, the hype is certainly real.
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