Alex Gay, Senior Director of Product Marketing, Adobe Document Cloud
Most businesses today mean more technology, more meetings, more projects, more data, and more documentation. Coupled with rising expectations to do more with less, knowledge workers have more to deal with. In fact, according to MIT Sloan, 80% of knowledge workers experience information overload, which impacts their productivity. Adobe's Future of Digital Work study found that knowledge workers report wasting nearly one full day (8.2 hours) a week just searching for the information they need to do their jobs.
Much of that information is contained in documents such as contracts, financial statements, white papers, sales materials, and research reports. Most of the data within these documents (80-90%) is unstructured, making it especially difficult to analyze and act on. Generative AI offers amazing new opportunities to help all knowledge workers extract more value from their documents and work more productively. However, it can be difficult for IT leaders to quickly deploy generative AI across an organization in a secure and compliant manner.
Trust and value meet
For more than 30 years, the world's largest organizations have trusted Adobe Acrobat with their most important information. When it comes to generative AI, we know that enterprises need technology that accelerates time to value and meets security and governance requirements. That's why we introduced Acrobat AI Assistant, an AI-powered generative conversation engine that is quick and secure to deploy and use for enterprise customers. AI Assistant can be deployed in minutes and can be used in an environment that is familiar to employees. Additionally, this feature only works with user-provided documents, so it fits into your company's existing governance processes. We complement his LLM technology with our own IP to significantly improve output quality and reliability. We also prohibit third-party LLMs from storing, using, or training our customer data. And like other Adobe AI features, AI Assistant is developed and deployed in accordance with AI ethical principles.
When they deployed AI Assistant to their employees, they became early adopters of the technology. Our employees are discovering faster ways to do their best work, and this rapid time to value is exciting. As a result, different use cases are starting to emerge. Below are real-world examples of how our team uses AI to transform document data into actionable insights, freeing up your time for more valuable tasks.
- Marketing and communications: create engaging content at scale
Today's marketing professionals are voracious consumers and producers of content. Stay informed by reading research reports, white papers, and media coverage, and create ever-growing content to keep internal and external audiences informed and engaged. Research shows that to keep interest in your brand high, he ideally posts two to four blog posts per week, and his social channels require even more fresh content.
Employees on our marketing team use Acrobat AI Assistant to get insights faster and use clickable quotes to ensure information is correct, from executive updates to blogs. , we save over 5 hours each week by consolidating and formatting information across a variety of asset types, from social posts to social posts.
2. Sales: Close bigger deals faster and build customer relationships
Successful sales teams need a deep understanding of customer challenges, opportunities, and industry trends so they can create personalized pitches for new customers and customized solutions that help existing customers evolve their businesses. need to do it.
To that end, our sales team reviews complex and lengthy documents such as annual reports and 10-Ks to gain critical insights into your mission, recent financial performance, risks, roadmap, long-term goals, and more. I spend a lot of time researching. The team started using an AI assistant to summarize the most important points from the document and ask specific questions to inform their recommendations. We also use generative AI to quickly find and verify details on topics such as security practices and information governance within advanced technical documentation for a customer's RFP, and email summaries and slide decks for teams. We have generated content such as summaries. Thanks to AI, our sales team can do the same work in about four hours, half the time it normally takes, giving us the opportunity to work with more prospects and customers.
3. Finance: Analyze reports and provide timely recommendations.
Adobe's finance team reads financial statements, earnings, and industry reports, summarizes recommendations for internal clients, creates reports and blogs based on analysis, writes emails to update colleagues, and more. You spend hours each week on tasks. By leveraging AI Assistant to summarize revenue highlights, write first versions of blog posts, draft emails, and more, each employee saves approximately 7 hours each week and provides timely information to stakeholders. can be delivered more quickly.
Four. Legal: Quickly access the impact of new regulations and save time on compliance.
Our legal team and compliance officers are responsible for tracking and understanding the ever-increasing number of new regulations impacting our business. They also need to get key points across to executives, which requires distilling complex information and filtering out legal jargon. AI Assistant helps Adobe legal teams streamline these processes by instantly generating regulatory summaries, extracting key takeaways, and automatically formatting them into emails, reports, or slides. This will help cut the time it normally takes in half.
Five. Research and Development: Stay on top of industry trends
At Adobe, our investments in research and development drive innovation and growth. The R&D department's job is to keep the R&D and product teams abreast of the latest industry and technology trends. This requires reading and summarizing a large amount of information to share with departments and cross-functional teams and include in product requirements documents. Without an AI assistant, each researcher could spend more than 10 hours each week reading and summarizing information. By leveraging generative AI, we were able to reduce that to just four hours per week.
Generative AI is an incredibly exciting new technology, and it's exciting to see it transform from just a curiosity to delivering real value to knowledge workers in almost every role.to learn more Learn more about Acrobat AI Assistant.
