With the increasing amount of data and user interactions, many businesses are struggling to meet growing demand without sacrificing quality.

Artificial intelligence (AI) The solutions offer ways to save time and energy on data usage without sacrificing quality.

Below are some examples of artificial intelligence that show how companies are integrating AI into their operations:

See more: Artificial Intelligence Market

5 artificial intelligence case studies

1. WildTrack on SAS Viya

WildTrack is an environmental organization specializing in non-invasive wildlife monitoring. They hunt down and protect endangered wildlife in the African landscape.

They used AI to recreate indigenous skills in large-scale animal tracking.

“You know, identifying fingerprints is a very tedious process, so you can sort and categorize them,” says Mary Beth Ainsworth, AI and linguistic analysis strategist at SAS.

“So being able to take that task – it’s a repetitive task – and automate it seemed like a natural fit for an AI solution. “

Industry: Wildlife conservation

Artificial intelligence products: SAS Viya and SAS Analytics

Results:

  • Save time and resources by analyzing thousands of images
  • Crowdsourcing footprint images from across Africa
  • More efficient animal tracking

Read the full WildTrack case study on SAS Viya here.

2. FintechOS on Microsoft Azure Cognitive Services

FintechOS works with banks and companies in the financial sector to digitize their customer experience by creating personalized platforms.

Their goal is to make their service more accessible to their non-technical customers by leveraging artificial intelligence for a low-code digital creation process.

“We’ve replaced a three-day paper-based process… with a 15-minute digital customer journey, using Azure’s built-in AI capabilities,” said Remco Jorna, CTO at FintechOS.

“Azure services freed us from the preparation of the underlying platform and allowed us to focus on developing our solution. “

Industry: Banking and finance

Artificial intelligence products: Azure Cognitive Services, Azure API Management and Azure DevOps

Results:

  • Complete an onboarding process in minutes instead of days
  • Research, develop, test and deploy the final product in record time
  • Text analysis, optical character recognition and facial recognition enhance security by confirming customer identity

Read the full FintechOS case study on Azure Cognitive Services here.

See more: Artificial intelligence: current and future trends

3. PureTech Global on Amazon Forecasts

PureTech Global offers telecommunications services in 13 countries, in addition to music, games and video content.

To diversify their revenue streams, PureTech Global invests in over-the-top (OTT) services to encourage subscriber loyalty. To overcome competition in the industry, they chose to use AI and machine learning (ML) in their applications.

“Without the help of AWS and eCloudvalley, we would have needed extensive research and training, as well as a whole team to manage this project,” says John Lim, CTO at PureTech Global.

“Even in the first few months after implementation, the AI ​​project generated more revenue for us. This, in turn, allows us to provide more value-added services and quality content to subscribers.

Industry: Telecommunications and entertainment

Artificial intelligence products: Amazon Forecast, Amazon Simple Storage Service, AWS Glue, and AWS Lambda

Results:

  • Helped to increase billing renewal by 20%
  • Allows detailed data information and reporting
  • Expands the knowledge base to be applied to new projects
  • AI-based billing system with limited oversight required

Read the full PureTech Global case study on AWS Forecast here.

4. Google Cloud AI Studios of the 20th Century

20th Century Studios is an American film studio with a history of almost 90 years.

They sought to revolutionize their audience discovery and movie marketing tactics using big data analytics and artificial intelligence.

They’ve built AI tools to analyze their hit-and-miss movies and identify the right audience for marketing.

“And to answer questions, the tool performs massive parallel multi-tests, sampling hundreds of different audiences,” says Miguel Campo-Rembado, senior vice president of data science and analytics at 20th Century. Studios.

“And it produces a sophisticated report that helps us describe, in an unprecedented level of detail, who this film’s main fans are, who are the persuasive audience, and who are the no-shows.”

Industry: Entertainment

Artificial intelligence products: Google Cloud Vision AI, Google Cloud Video AI and Google Cloud Data Analytics

Results:

  • Discover and integrate new audiences
  • Save marketing resources on absent audiences
  • Understand the type of movie they are making

Watch the full case study of 20th century Google Cloud AI studies here.

5. Epiq on Amazon’s Augmented AI

Epiq provides legal and business services to law firms, corporations, financial institutions and government agencies around the world.

One of their most important services is the transcription of court proceedings.

Since human transcription takes time, they chose to scale up operations using AI to automate transcription.

“Within weeks, Epiq delivered an AWS-based transcription solution that is 5% more accurate than other third-party transcription engines,” said Don Young, vice president of engineering at Epiq.

“Transcription is a driver and we use AWS Step Functions as an adaptation tool to effectively automate the many flows within our system. “

Industry: Professional services

Artificial intelligence products: Amazon Transcribe, Amazon Augmented AI, AWS Step Functions, and Amazon Elastic Compute Cloud

Results:

  • Provides courtroom transcripts with 85% accuracy
  • Achieves 5% more precision than traditional tools
  • Multilingual support
  • Development of an e-discovery solution in three months

Read the full Epiq case study on Amazon Augmented AI here.

See more: Top Performing Artificial Intelligence Companies


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