The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.

The world of manufacturing is evolving—and so must the factories that drive it. This eBook reveals five transformative strategies that can help manufacturers gain a lasting competitive edge. Through insights from aerospace leaders, energy innovators, and the factories of tomorrow, we show how manufacturers are moving beyond traditional approaches. From building smarter, adaptable systems to embracing iterative design and fostering resilient cultures, these strategies are shaping the future of pr

Manufacturing today requires both agility and precision. Traditional ERP systems provide enterprise-wide management but lack real-time execution power needed on the shop floor. ION Factory OS by First Resonance bridges this gap, combining the strengths of ERP and MES for seamless integration. While ERP handles long-term strategic oversight, ION Factory OS delivers real-time production control, ensuring speed, flexibility, and precision.

Sit down with Karan Talati, CEO of First Resonance, to explore the significant contributors to waste in the manufacturing industry. Karan delves into two critical areas: material waste and data waste. He discusses how material waste impacts costs and efficiency, and the often-overlooked issue of data waste—where valuable data is not captured, leading to inefficiencies in managing inventory and operations.

Forward-thinking manufacturers are recognizing the limitations of traditional project management and quality control methods. For modern companies seeking to accelerate product development cycles and increase their speed to market, adopting agile methodology is becoming increasingly essential.

Energy inefficiencies are silent thieves eroding manufacturing profits and sustainability efforts. From overworked pumps to leaky compressed air systems, these hidden drains often go unnoticed without advanced energy monitoring. Panoramic Power empowers manufacturers with granular, device level energy visibility, and real-time insights to identify and eliminate inefficiencies, transforming waste into savings.

Pursuing product portfolio management excellence empowers organizations to unlock the full potential of their offerings. This comprehensive guide unveils 10 essential keys that serve as the building blocks for success.

Measuring innovation success is critical yet challenging for organizations, often leading to confusion over which KPIs to use. Many rely on inappropriate metrics borrowed from other departments, wasting resources and overlooking valuable opportunities. This guide outlines why innovation metrics are hard to track and offers a framework for creating effective KPIs.

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

The rising complexity of today’s complex hardware products, regulatory requirements, and manufacturing processes has introduced an increased risk for companies. In the event of a defect, recall, or customer complaint, manufacturers must quickly identify and trace the affected parts and components, including their maintenance, installation, and purchase history – back to the purchase order.

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. But with Logi Symphony, these challenges become opportunities.

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format. To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?