The Vanguard of AI: How Software Development Companies Are Shaping a Smarter Tomorrow

Don't be late to the party. AI is driving innovation as well as delivering substantial business impact.

Jason Graefe, Corporate VP for ISVs, Digital Natives

October 4, 2024

5 Min Read
Software companies developing smarter tomorrow with AI
TeeStocker/Shutterstock

Artificial intelligence is revolutionizing every industry, with software companies leading the charge in unlocking its potential. In every conversation I have with industry leaders, AI emerges as a central theme. Over the past year, I have seen companies harness generative AI to create transformative solutions, setting the standard for others on how to integrate AI into their businesses, use cases and workflows.

I've witnessed innovative companies deliver enhanced customer and employee experiences, improve operational efficiency and develop new business models through strategic AI integration.

As we stand at the dawn of this AI transformation, it's clear that AI is not only driving innovation but also delivering substantial business impact. And this is just the beginning.

I want to share three real-world examples showcasing how software companies are harnessing AI to transform their businesses and deliver unique value to their customers.

Using AI to Create Better Experiences for Health Care Workers

The health care industry is navigating numerous challenges, such as workforce burnout, staffing shortages and decreased patient engagement. However, AI technologies offer a beacon of hope, with the potential to alleviate some of these hardships. By leveraging AI built on foundational large language models (LLMs) and specialized models trained on health care vocabulary and scientific terms, health care organizations can streamline essential daily tasks and improve experiences for health care providers and their patients.

Related:The Many Copilot Use Cases Partners Are Missing

Epic, a health care software provider, is harnessing the power of generative AI to bring AI-powered clinical insights and administrative tools directly into the Epic electronic health record (EHR) system. Clinicians can now utilize AI for note summarization and ambient clinical documentation, enhancing productivity and improving patient experiences. For instance, DAX Copilot embedded in Epic can automatically generate summaries of patient visits, allowing health care providers to focus more on patient care rather than paperwork. DAX, or data analysis expressions, are a library of functions and operators that can be combined to build formulas and expressions.

Generative AI is also transforming medical coding processes. By providing suggestions based on clinical documentation, AI helps coding staff improve accuracy and efficiency in billing processes. This reduces the administrative burden and also lowers the cost for providers to serve patients.

Through these advancements, Epic is setting a new standard in health care. By integrating AI into daily operations, health care organizations can enhance both provider and patient experiences, paving the way for a more efficient, secure and responsive health care system.

Related:Microsoft Copilot Providing Value to MSPs' Customers

Transforming Manufacturing with AI-Powered Efficiency

Manufacturers today are up against a range of challenges that affect their ability to drive growth efficiently. These include a shortage of skilled workers, rising operational costs and the need for faster innovation cycles to stay competitive. Manufacturers also struggle with integrating advanced technologies into their existing systems and ensuring smooth human-machine collaboration. On top of that, they need to manage and secure vast amounts of data from various sources, which is crucial for making informed decisions while maintaining operational integrity. Frontline factory workers, who are often on the move, need fast and reliable ways to perform their tasks using mobile devices. These challenges highlight the urgent need for transformative solutions that can boost productivity, streamline operations and foster innovation.

Siemens, known for its work in industrial automation and digitalization, is known for tackling these kinds of issues. By leveraging generative AI, Siemens is transforming how companies design, develop, manufacture and operate.

Related:Connex One: AI Reducing Costs, Boosting Customer Experience

One innovative project is the Siemens Industrial Copilot, a generative AI-powered assistant designed to enhance human-machine collaboration and boost productivity by making automation processes smoother and reducing simulation times from weeks to just minutes. This copilot helps engineers quickly generate, optimize and debug complex automation code. Additionally, by integrating Siemens Teamcenter with Microsoft Teams, design engineers, frontline workers and other teams can collaborate virtually.

Through a generative AI-powered natural language-first interface, users can now connect with Teamcenter from anywhere and speak in their native language to collaborate across product development and manufacturing processes across various departments. AI will then translate and extract information to populate a problem report on whatever device they're using. Using AI-powered productivity tools, workers across the entire product life cycle can better track and prioritize their workloads, resulting in improved product design while reducing quality issues. Siemens is enhancing productivity and efficiency and also setting a new standard for manufacturing innovation.

Revolutionizing Supply Chains with AI

Global supply chain customers are grappling with several pressing challenges, including geopolitical tensions, rising costs from inflation and labor shortages impacting manufacturing and logistics. Ensuring data security is critical for protecting sensitive information and preventing fraud to maintain supply chain integrity. Addressing these issues requires innovative technology solutions that drive productivity, enhance security, save costs and help ensure operational efficiency.

Blue Yonder, a leader in digital supply chain and omnichannel commerce fulfillment, is transforming supply chain management with generative AI to help companies better predict, pivot and fulfill customer demand. This AI transformation leverages advanced technologies like AI, machine learning and the Internet of Things to provide real-time insights and automation, helping businesses optimize their supply chain operations and improve decision-making.

Blue Yonder's platform helps retailers, manufacturers and logistics providers connect data, identify issues and optimize performance. This integration drives greater customer satisfaction by ensuring timely and accurate delivery of products.

In addition, its solutions empower companies to be more sustainable by reducing waste and improving resource management. Anticipating demand and adjusting supply chains in real time means fewer excess products and more efficient use of resources. This benefits the bottom line and contributes to a more sustainable future. Blue Yonder's innovative approach is inspiring businesses to rethink their supply chain strategies and embrace the transformative power of AI.

AI and Tech Innovation

Health care, manufacturing and global supply chain management are just three of many industries reaping the benefits of AI transformation. I've seen firsthand how these advancements are making workers more efficient and creating more enjoyable and rewarding experiences for customers. By embarking on an AI journey now, companies leveraging AI platforms will be at the forefront of technological innovation, gaining a competitive edge over those still in wait-and-see mode.

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About the Author

Jason Graefe

Corporate VP for ISVs, Digital Natives, Microsoft

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