Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
This independent report highlights the ERP vendors that Panorama has found to be highly functional for states, municipalities, nonprofits, and other public sector entities.
Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
Our list of top 10 ERP software highlights the vendors our ERP experts have found to be innovative and strong in functionality. This is an overview of those ERP systems.
Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
This independent report highlights the ERP vendors that Panorama has found to be highly functional for states, municipalities, nonprofits, and other public sector entities.
Every year, Panorama analyzes industry trends to understand organizations’ selection and implementation practices when it comes to enterprise software.
Our list of top 10 ERP software highlights the vendors our ERP experts have found to be innovative and strong in functionality. This is an overview of those ERP systems.
Key Takeaways: AI-driven procurement often involves agents with algorithm-driven preferences that must be governed to ensure business alignment. ERP systems play a critical role in supporting AI-driven buying behavior by feeding clean, machine-readable data to...
Artificial intelligence in finance is reshaping how CFOs forecast, allocate capital, and assess financial risk. AI for CFOs includes tools like generative AI, predictive analytics, and intelligent process automation. Explainable AI (XAI) and MLOps practices are...
AI trends in business are reshaping competitive dynamics and internal operations, creating both strategic opportunities and uncertainties for CEOs. CEO concerns about AI include the displacement of traditional competitive advantages, and how to manage rapid shifts...
AI technology is taking over many routine tasks, but entirely new categories of human expertise and skill sets are becoming essential. As executives contemplate new job roles created by AI, they must determine which employees are well-suited to these strategic AI...
Generative AI tools often sound confident—even when their answers lack accuracy or context. Overconfident enterprise AI can mislead ERP selection, supply chain planning, and contract risk analysis. GenAI forecasting hallucinations and enterprise AI hallucinations...
AI misalignment often stems from vague or outdated business goals being embedded into ERP systems, leading to strategic drift and costly inefficiencies. When AI is deployed without executive-level alignment, it can scale flawed processes and amplify risk across your...
Scalable AI strategies often incorporate open data, which can provide the external insights necessary to improve predictive accuracy and automation. Open data benefits for AI include enhanced decision-making, reduced bias, and accelerated innovation in AI-driven...
Privacy concerns for using AI in the workplace are growing as employees increasingly use external AI tools that may expose sensitive data and violate compliance standards. Employee AI usage policies are essential for preventing data breaches, ensuring regulatory...
AI-ready data is accurate, consistent, and accessible across all business systems, ensuring reliable insights and decision-making. Disconnected ERP and legacy systems create data silos that limit AI effectiveness and lead to conflicting business insights. Clear data...
AI is limited in its ERP selection capabilities as it’s unable to assess nuances such as implementation challenges and real-world use cases. ChatGPT cannot conduct sufficient vendor due diligence, as it lacks access to vendor financials, customer service history, and...
While many organizations use AI assistants, like chatbots and expense tracking bots, fewer organizations use AI agents. An AI agent is an artificial intelligence tool capable of executing complex tasks independently and driving outcomes. While not yet widely adopted,...
As the logistics industry grows more complex and demand grows more unpredictable, artificial intelligence (AI) is becoming essential for optimizing logistics operations. Today, we’re exploring recent AI trends in logistics and sharing strategic considerations for...
Artificial intelligence (AI) has moved beyond a buzzword to become a transformative force in business decision-making. AI-driven business insights are enabling leaders to make decisions with greater accuracy, speed, and confidence. Today, we’re exploring the ways AI...
The allure of AI-ERP integration is undeniable. By combining the comprehensive data management capabilities of ERP systems with the predictive and analytical prowess of AI, organizations can unlock unprecedented efficiency. Yet, beneath the surface of this integration...
As the landscape of artificial intelligence (AI) continues to evolve, generative AI is proving to be transformative technology with the potential to revolutionize business operations. However, its adoption is fraught with challenges that can impede successful...
Generative AI in manufacturing is starting to gain some real traction. Manufacturing firms are increasingly using this technology to predict demand, manage inventory, and ensure product quality. Today, we’re delving into the role of generative AI in the manufacturing...
Artificial intelligence (AI) is reshaping the operational and scientific landscape of the pharmaceutical industry. As AI technology transforms drug discovery, development, and delivery, it’s also enabling operational efficiencies. Today, we’re sharing insights into...
Embarking on an artificial intelligence (AI) implementation can feel like navigating uncharted waters. From virtual assistants to computer vision to deep learning, the knowledge gaps companies face can be vast. However, before you become a data scientist, remember...
The use of artificial intelligence (AI) in the retail industry marks a significant shift in how retailers interact with customers and manage their supply chains. Retailers are now using AI-powered enterprise software to optimize inventory, personalize customer...
As more ERP vendors, particularly the top top ERP vendors, incorporate artificial intelligence (AI) into their offerings, it’s important to understand the basic principles behind this dazzling technology in ERP software. Here’s a beginner’s guide that outlines the...
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