Microsoft has been the fastest among its competitors to supply generative artificial intelligence (AI) to the enterprise market. It is said that 85% of Fortune 500 companies are using Microsoft’s AI products, and 70% are subscribing to Microsoft 365 Co-Pilot. While competitors were investing in developing their own large language models (LLM), Microsoft entrusted model development to OpenAI and boldly invested that time in providing specific services and sophistication, and the strategy is succeeding to this day.
As a result, over the course of about a year, Microsoft secured a number of customer cases that could be made public and unveiled them at this year’s Ignite 2024 conference. Each case varies from simple use of co-pilot to building an AI agent platform.
There is definitely a generative AI boom, and Microsoft is benefiting greatly from it. Specific examples of major companies are emerging, and they are gaining an upper hand in the competition in the AI platform market.
According to a global survey commissioned by Microsoft and IDC, the use of generative AI by companies around the world increased from 55% in 2023 to 75% this year. When a company invests $1 in generative AI, the return on investment (ROI) is 3.7 times. Global AI spending is predicted to reach $632 billion by 2028.
Toyota’s AI project leader Kenji Onishi and engineer Takehiro Nakamura are leveraging the O-Beya AI system to accelerate the development of automotive powertrain components.
Toyota Motor Corporation is leveraging the power of generative AI to preserve the expertise of senior engineers even after their retirement. Toyota built ‘O-beya’, a generative AI agent system that stores and shares internal expertise, with the goal of developing new vehicle models faster using Microsoft Azure OpenAI service, Azure Functions, and Cosmos DB. For example, an engineer asks the system how to make a car go faster, the engine agent provides answers related to engine power, the regulatory agent provides answers related to emissions limits, and the system combines them into one answer. Do it.
On the 14th, the National Aeronautics and Space Administration (NASA) announced that it had created ‘Earth Co-Pilot’ by using Microsoft Azure OpenAI service in its Earth Science Data System program.
Accenture is providing Microsoft 365 Co-Pilot and agents to 100,000 employees and plans to deploy them to an additional 200,000.
Automating manufacturing and operations automotive supplier ABB Group is using generative AI to help industrial customers better manage their carbon footprint. The company has integrated Microsoft Azure OpenAI services into its core Genix industrial IoT and analytics suite. Xenics Co-Pilot, a generative AI solution that answers customer questions in natural language and provides specific, actionable insights, was built. ABB’s proactive approach has helped customers reduce operating and maintenance costs by up to 40%, increase production efficiency by 30% and improve sustainability by 25%. Xenics Co-Pilot is expected to increase sales by at least 20%.
Air India, an airline, improved customer experience by moving its workload to Microsoft Azure. Air India implemented Azure OpenAI services and the latest GPT model to develop ‘AI.g’, a virtual assistant capable of handling 30,000 daily queries on topics such as reservations and flight status. Millions of automated customer interactions are now possible, freeing up call center staff to focus on more complex issues. Financial savings were also achieved by switching to Azure. Air India is maintaining its call center’s call volume the same even as the number of passengers doubles. We receive about 9,000 inquiries every day, and AI.g can process 10,000 inquiries per day. This has resulted in savings of millions of dollars per year.
Campari Group, a liquor retailer, introduced Microsoft 365 Co-Pilot and built a generative AI function called ‘Camparista’ into its employees’ work apps. CoPilot simplifies meeting preparation and summarization. Early adopters said they saved 16 to 30 minutes a day, 80% said they worked faster, and 81% said they were more productive. 86% say their work quality has improved, and 73% say they require less mental effort on everyday tasks.
Logistics platform ‘CH Robinson’ automated its email price quotation system using Microsoft Azure AI. Significantly reduced response time for more than 2,000 daily price requests from shipping companies. The company’s automated AI system now sorts through incoming emails, uses generative AI to piece together the details and then replicates the steps a human would need to fulfill a customer’s request. This automation reduced email quote time from hours to just 32 seconds. It is said that productivity has increased by 15% per year through Azure AI integration.
Dentsu, an integrated marketing solution company, is improving customer service using Microsoft Azure AI. Dentsu used Azure AI Studio, Azure Machine Learning, and Azure OpenAI services to develop Co-Pilot, which helps employees interpret results through interactive chat and reduce analysis time by 80%. This has resulted in millions of dollars in savings by improving model accuracy and increasing the return on advertising spend for customers. Where customer-facing media planners previously had to wait weeks, now they can do so in minutes.
Eaton, an intelligent power management company, simplified and automated operations using Microsoft 365 Co-Pilot. This improves employee access to data, centralizes knowledge, and frees teams to focus on higher-value work. CoPilot has been particularly effective in the manual and time-consuming documentation processes of Eaton’s financial operations. CoPilot documented Eaton’s 9,000 standard operating procedures (SOPs) and saved 83% of time for each SOP.
Lenovo’s Premier Support Service team uses Microsoft 365 Co-Pilot, Dynamics 365 Contact Center, and Dynamics 365 Customer Service. We are streamlining support operations and responding to increasing demand by providing AI-based chat services. CoPilot’s real-time, high-quality suggestions enable service reps to spend less time gathering and reviewing information and more time resolving issues. Service reps reduce average service handle time by 20%; Agent productivity increased by 15%.
To address the challenge of a global shortage of veterinary radiologists, pet medical service company ‘Mars Veterinary Health’ uses the Azure AI Studio Model Catalog ‘Mistral LLM’ to review X-ray images and provide data that can be reviewed by human radiologists. We have built ‘RapidRead’, a new diagnostic tool that provides diagnosis. Through RapidRed, clinics are saving the lives of more pets by providing diagnostics in minutes.
Medigold Health, a UK occupational health service provider, has transformed its operations with Microsoft Azure. Medigold, which specializes in workplace health risk reduction and employee wellbeing, supports more than 3,500 businesses with a team of more than 1,000 employees, including 450 clinicians and technicians. The company used Microsoft Azure OpenAI services, Azure Cosmos DB, and Azure SQL Database to automate the manual aspects of traditional customer health assessments, such as extensive note taking, dictation, and report generation. Through this, clinician retention rate and job satisfaction increased by 58%.
“Our mission is to empower every person and every organization on the planet to achieve more,” said Microsoft CEO Satya Nadella. “It is up to us to promote it.”
writing. Byline Network
yong2@byline.network
Considering the potential for both job displacement and creation, what specific skills and knowledge should individuals focus on developing to thrive in a future where generative AI is integrated into the workplace?
## World Today News Interview: The Generative AI Boom
**Introduction:**
Welcome to World Today News, where we delve into the cutting edge of technology. Today, we are excited to discuss the meteoric rise of generative AI and its transformative impact on businesses worldwide. Joining us are two industry experts:
* **[Guest 1 Name and Title]**
* **[Guest 2 Name and Title]**
Our discussion will be divided into three thematic sections:
**Section 1: Microsoft’s Dominance in the Generative AI Market**
**[Host]:** Microsoft seems to be leading the pack in the race to bring generative AI to the enterprise market.
* What factors have contributed to Microsoft’s success in this space?
* How has Microsoft’s partnership with OpenAI given them an edge over competitors?
* Do you see this dominance continuing in the long run, or will other players catch up?
**[Guest 1]: **
**[Guest 2]: **
**Section 2: Real-World Applications of Generative AI**
**[Host]:** The article highlights some truly impressive examples of how businesses are leveraging generative AI.
* Which of these applications excites you the most and why?
* What are the potential downsides or ethical considerations that we need to be mindful of as
generative AI becomes more widely adopted?
* Can generative AI truly solve complex problems, or is it more of a tool for streamlining existing processes?
**[Guest 1]:**
**[Guest 2]:**
**Section 3: The Future of Work in the Age of Generative AI**
**[Host]:** Generative AI is poised to transform the workplace in profound ways.
* How do you see generative AI impacting different job roles in the future?
Will it lead to job losses or the creation of new opportunities?
* What steps can individuals and organizations take to prepare for the changing landscape of work?
* As AI becomes more sophisticated, what role will human creativity and judgment continue to play?
**[Guest 1]:**
**[Guest 2]:**
**Conclusion:**
**[Host]:** Thank you both for sharing your insights on this fascinating and rapidly evolving field. It’s clear that generative AI is reshaping our world in profound ways, and the conversations and innovations will only continue to accelerate.
