Thursday, October 16, 2025

Reworking enterprise operations: 4 high-impact use circumstances with Amazon Nova


Because the launch of Amazon Nova at AWS re:Invent 2024, we’ve seen adoption developments throughout industries, with notable good points in operational effectivity, compliance, and buyer satisfaction. With its capabilities in safe, multimodal AI and area customization, Nova is enhancing workflows and enabling value efficiencies throughout core use circumstances.

On this put up, we share 4 high-impact, extensively adopted use circumstances constructed with Nova in Amazon Bedrock, supported by real-world prospects deployments, choices out there from AWS companions, and experiences. These examples are perfect for organizations researching their very own AI adoption methods and use circumstances throughout industries.

Customer support

Conventional chatbots usually frustrate customers with scripted, rigid responses that fail to grasp context or intent. For enterprises, these are missed alternatives to resolve points shortly, decrease help prices, and drive buyer loyalty. AI-powered purposes can perceive pure language, adapt to particular person buyer wants, and combine with backend programs in actual time. Organizations are reworking help from a price heart right into a strategic driver of satisfaction and retention. These are sometimes high-volume and interactive situations, so the steadiness of value, velocity, and intelligence is important.

Customer support purposes constructed with Nova in Amazon Bedrock can seamlessly combine with enterprise knowledge saved with AWS, and provide the safety, privateness, and reliability for manufacturing use in enterprise environments.

  • Infosys, a number one world IT companies and consulting group, developed Infosys Occasion AI for real-time transcription, multilingual translation, and clever summarization of reside occasion content material. Infosys Occasion AI is constructed with Amazon Nova Professional in Amazon Bedrock. Throughout a latest occasion in Bangalore, the AI assistant dealt with round 230 customers per minute and was queried a mean of 57 occasions per minute, producing greater than 9,000 session summaries. This resolution enhanced data retention, engagement, and inclusivity by making occasion insights immediately accessible in a number of languages and codecs for hearing-impaired and distant contributors. By reworking occasion content material right into a persistent, searchable multilingual data asset, Infosys Occasion AI accelerates studying and collaboration.
  • Fortinet, an AWS Associate and cybersecurity firm, makes use of Amazon Nova Micro to energy its AI help assistant, delivering vital efficiency enhancements at a fraction of the fee. By switching to Nova Micro in Amazon Bedrock, Fortinet achieved an 85 occasions discount in inference prices, dramatically decreasing TCO whereas sustaining speedy response occasions. The assistant now helps customers shortly navigate complicated documentation throughout greater than 60 merchandise, bettering help effectivity and elevating buyer satisfaction.
  • Amazon Buyer Service makes use of Nova with its AI-driven difficulty decision system. The system is a two-step strategy combining intent detection and difficulty decision. Amazon Buyer Service custom-made Nova Micro, leading to 76.9% accuracy for in-domain points and 69.2% in generalization testing, surpassing present baselines by 5.4% and seven.3%, respectively. Moreover, Nova Lite is used for instrument choice, reaching 86.1% accuracy and 4.8% enchancment over current programs.
  • AWS Summit New York Metropolis 2025 was attended by 18,000 contributors, that includes the AI assistant Diana for customer support developed with Nova Sonic. By dialing a cellphone quantity, the Sonic-powered voice assistant answered a whole lot of queries in regards to the occasion, together with session particulars, location, and FAQs.

Search

Massive enterprises face sluggish, siloed, and inefficient search throughout huge shops of structured and unstructured knowledge, costing time, productiveness, and buyer responsiveness. By adopting AI-powered, multimodal search that understands pure language and enforces safe entry, organizations can ship immediate, related solutions from paperwork, photographs, and technical information. This accelerates decision-making, shortens deal cycles, improves buyer satisfaction, and reduces the price of data discovery at scale. Search purposes more and more depend on a mixture of data throughout modalities, together with textual content, paperwork, photographs, and video.

Nova is among the many quickest and most cost-effective multimodal fashions, providing imaginative and prescient fine-tuning capabilities. Nova additionally integrates with broader Amazon fashions together with Amazon Titan Multimodal Embeddings and knowledge companies together with Amazon OpenSearch Service for extra sturdy search capabilities and efficiency.

  • Siemens confronted rising efficiency bottlenecks as its large datasets strained conventional search programs, slowing retrieval speeds and impacting productiveness throughout its world operations. To deal with this, Siemens built-in Amazon Nova, reaching a threefold increase in search efficiency that dramatically accelerated knowledge retrieval and improved workflow effectivity. Amazon Nova delivers high-speed, scalable search capabilities, and Siemens’s implementation facilitates seamless integration with current programs, sustaining enterprise continuity with minimal disruption. This enhanced consumer expertise and positioned Siemens to deal with future knowledge development with ease, supported by steady efficiency monitoring and tight infrastructure alignment.
  • CBRE World Pulse System (GPS)—constructed with Amazon Nova Professional in Amazon Bedrock and OpenSearch Service—transforms property search throughout hundreds of customers worldwide. Inbuilt partnership with AWS Skilled Providers and GenAI Specialists, GPS replaces sluggish, fragmented legacy programs with an AI-driven, multimodal search platform able to dealing with complicated queries, large PDFs, and strict permission controls. Key outcomes embody 75% sooner doc ingestion, 70% decrease database latency, 87% sooner key phrase searches, and 51% sooner pure language queries. When absolutely deployed to over 6,000 customers later in 2025, GPS is projected to save lots of over 98,000 worker workdays yearly, unlocking $320,000 ARR and vital operational effectivity. By shifting from Anthropic’s Claude Sonnet to Nova Professional and Anthropic’s Claude Haiku 3, CBRE additionally reduce AI inference prices by 3.5 occasions and 12 occasions, respectively, with out sacrificing accuracy.

Video understanding and evaluation

Organizations are adopting video understanding purposes to drive enterprise worth throughout a number of fronts, together with buyer habits evaluation, visitors patterns, and manufacturing high quality management. Safety and security advantages are realized by way of real-time risk detection and office security monitoring, and buyer expertise is enhanced by way of customized content material suggestions and improved content material searchability. Organizations acquire aggressive benefit by way of data-driven decision-making and innovation in service supply, whereas lowering prices by minimizing guide evaluation processes and reducing safety incidents. This complete strategy to video evaluation helps corporations extract insights from their video knowledge, in the end resulting in improved operations, higher decision-making, and enhanced buyer experiences. As builders construct, iterate, and evolve these purposes, there’s a rising demand to natively perceive video versus coping with the overhead of frames, time stamps, and synchronization.

Amazon Nova fashions can analyze, classify, and summarize data within the video based mostly on offered directions. Functions constructed with Nova understanding fashions in Amazon Bedrock provide complete evaluation of a number of video codecs by way of versatile enter strategies, with the power to research, classify, and summarize video content material whereas dealing with information as much as 1 GB by way of Amazon Easy Storage Service (Amazon S3) integration.

  • Bitcentral partnered with Caylent to remodel how archived content material is found, accessed, and reused. Utilizing Nova Professional in Amazon Bedrock, Caylent deployed an answer that aligned with the wants of journalists, producers, and broadcasters throughout greater than 1,600 consumer websites. By embedding semantic video search, contextual metadata technology, and AI-powered content material evaluation into its workflows, Bitcentral redefined how archived footage is listed, found, and reused. Journalists and producers can now floor high-value content material in actual time and unlock new income streams.
  • Loka, an AWS Premier Associate, constructed a video surveillance providing to routinely determine and classify tens of millions of visible occasions in video footage. This technique successfully distinguishes between routine occasions and significant incidents, serving to filter out non-essential actions and alerts. The answer proved extremely profitable, lowering irrelevant alerts by 55% whereas sustaining a risk detection fee above 97%. By implementing this automated filtering system, Loka doubled video monitoring effectivity for his or her consumer. The instrument, constructed on Amazon Bedrock utilizing Amazon Nova Professional, considerably lowered the workload for human operators whereas bettering total risk detection capabilities.
  • Accenture Highlight can analyze long-form movies and routinely generate customized short-form clips and highlights, that are notably helpful for sports activities content material like soccer, Formulation 1, and rugby. Highlight is able to matching content material to particular viewers demographics and might course of real-time CCTV footage in retail settings to create customized gives. The system is constructed with Amazon Nova in Amazon Bedrock and operates by way of three specialised tremendous brokers working below a central orchestrator. Highlight can course of movies in minutes relatively than the normal hours or days, whereas reaching value financial savings which might be 10 occasions higher than standard strategies. The answer is flexible sufficient for use throughout totally different industries, from media and leisure to retail, whereas sustaining top quality requirements and model alignment by way of its human-in-the-loop high quality assurance possibility.

Inventive content material technology

Organizations are searching for methods to revolutionize artistic content material technology together with inventory imagery, advertising marketing campaign property, and product visualizations. It’s usually slowed down by fragmented workflows, excessive manufacturing prices, and the necessity to constantly steadiness scale with personalization. Advertising and marketing groups battle to maintain up with the demand for recent, high-quality property throughout a number of channels, whereas artistic fatigue and lengthy lead occasions restrict their agility.

Amazon Nova addresses these challenges with Nova Canvas and Nova Reel: high-quality artistic fashions that remodel textual content and picture inputs into professional-grade photographs and movies. Nova artistic fashions are designed to ship customizable visible content material with management options, making artistic content material technology accessible and environment friendly for media, leisure, retail, advertising, and promoting industries.

  • Dentsu is reimagining how adverts come to life with Amazon Nova artistic technology fashions. What used to take weeks of brainstorming, filming, and modifying now occurs in days. Their artistic groups can sketch out an thought in plain language and watch it flip into polished movies and customized photographs, prepared for markets throughout the globe in over 200 languages. Constructed-in safeguards like moderation, watermarking, and IP indemnity imply every bit stays model protected. For Co-op, Dentsu went a step additional—pairing Nova with Amazon Advertisements to design customized viewers profiles that delivered a +4-point raise in model choice amongst 25–34-year-olds and a +5-point raise in favorability amongst prosperous customers.
  • Quantiphi, an AWS Premier World Consulting Associate, developed Qreator, a generative AI-powered advertising content material creation service constructed on AWS. Their service helps entrepreneurs create content material by way of pure language prompts whereas sustaining model consistency and cross-channel adaptability. With Qreator, enterprise can obtain an approximate 30% discount in content material creation time and get to market roughly 40% sooner, automating what was a guide course of, and bettering consistency throughout codecs and channels.
  • The Perfume Lab is a singular AWS activation that was showcased on the Cannes Lions Worldwide Competition of Creativity. It demonstrates the way to construct customized merchandise and marketing campaign property utilizing Amazon Nova basis fashions in Amazon Bedrock. Though our activation at Cannes Lions centered on customized perfume improvement and advert marketing campaign creation, the underlying structure and methodology might be tailored throughout numerous classes, comparable to style, meals, and beverage, opening countless prospects for custom-made buyer experiences. The Perfume Lab activation received two Worldwide Enterprise Awards: Gold for Exhibition Occasion Expertise and Silver for Experiential Occasion.

Conclusion

The 4 use circumstances introduced on this put up reveal the utility of Amazon Nova throughout industries and purposes. From Infosys’s Occasion AI bettering accessibility and engagement, to CBRE’s revolutionary property search system, to Loka’s clever video surveillance, and Dentsu’s artistic content material technology, every implementation showcases vital, measurable enhancements in effectivity, value discount, and buyer satisfaction.

Organizations utilizing Amazon Nova are reaching tangible enterprise outcomes by way of evidence-based adoption methods. By partnering with Amazon and AWS Companions, organizations are accelerating their AI transformation whereas sustaining sturdy foundations in safety, compliance, and privacy-by-design rules.

To get began constructing with Nova, go to the Amazon Nova consumer information or go to the AWS console.


In regards to the Authors

Abhinav Bhargava is a Sr Product Advertising and marketing Supervisor at AWS on the Amazon Nova group, the place he focuses on scaling generative AI adoption by way of customer-centric options. With a background in design and sustainability, he brings a singular perspective to connecting know-how and creativity to drive enterprise innovation. Based mostly in Seattle, Abhinav enjoys enjoying volleyball, touring, and studying about new cultures.

Raechel Frick is a Sr Product Advertising and marketing Supervisor at AWS. With over 20 years of expertise within the tech business, she brings a customer-first strategy and development mindset to constructing built-in advertising packages. Based mostly within the larger Seattle space, Raechel balances her skilled life with being a soccer mother and after-school carpool supervisor, demonstrating her capability to excel each within the company world and household life.

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