Analytics and AI

Artificial Intelligence (AI) and analytics are indispensable in propelling digital transformation efforts, particularly influencing Enterprise Resource Planning (ERP). With the rapid progression of technology and computing power, organizations across various sectors are generating immense amounts of data daily, impacting ERP processes. The significance of this data lies in its potential to extract actionable insights, facilitate strategic planning, and drive innovation within the ERP framework. In this context, AI and analytics emerge as pivotal tools, facilitating the extraction of value from the vast amounts of data generated and collected across the enterprise, optimizing ERP functionalities. Analytics is commonly categorized into descriptive, prescriptive, diagnostic, and predictive types, enhancing the ERP landscape. AI algorithms contribute not only to predictive and prescriptive analytics but also empower companies to develop innovative ERP capabilities, exemplified by advancements such as Industry 4.0.

Rootstock Launches Summer ’25 Release with AI Agent, New Data Grid, and Expanded Financials
Analytics and AI
AI, Data and Automation: Cutting through the Noise and Navigating the New Frontier of Enterprise Value
In the era of digital transformation, artificial intelligence (AI), data analytics, and automation are not merely buzzwords—they are strategic imperatives. The convergence of these technologies is reshaping industries, redefining competitive advantage, and demanding a recalibration of executive decision-making. For C-level...
AP Automation
Analytics and AI
Leveling Up with Automation: How Lifetime Products Empowered its Workforce with Microsoft Dynamics 365
Lifetime Products successfully modernized its ERP system by adopting Microsoft Dynamics 365, enabling enhanced operational efficiency and employee development through automation and a collaborative workforce strategy that reallocates resources towards higher-value tasks.
Your Next ERP Will Think for Itself: Microsoft’s Bold Vision for Autonomous ERP
Analytics and AI
Your Next ERP Will Think for Itself: Microsoft’s Bold Vision for Autonomous ERP
Microsoft is transforming ERP systems from traditional user-initiated processes to intelligent, autonomous platforms that execute tasks independently, emphasizing continuous business value and adapting to user needs rather than the other way around.
A speaker on stage at the AWS Summit in London, standing in front of a large screen with the event logo. The person is wearing a black blazer and blue pants, holding a presentation remote and speaking to the audience
Analytics and AI
AWS: Familiar AI Skills story with SAP Databricks twist
At the AWS London Summit, AWS announced a program to upskill 100,000 individuals in AI over five years, while also launching SAP Databricks on its platform, which enhances data accessibility and AI capabilities for SAP users, marking a significant step towards integrating advanced analytics and AI in enterprise resource planning.
Analytics and AI
Human-first strategy for AI-fuelled future of work
There is much agreement that AI will automate routine tasks, freeing up time for more strategic work. But what does this future workplace look like? How will AI impact the way we work and interact with colleagues, and what will be expected of employees in the AI-fueled office?
Analytics and AI
Unit4 AI Product Innovation
Empowering people & driving real results with AI-powered tools.
Analytics and AI
10 steps to utilize generative AI in your ERP system
Generative AI – all you need to know, including our 10 steps for CIOs to prepare their ERP for effective generative AI.
IBM building | IBM and Databand.ai
Analytics and AI
IBM Launches Dedicated Microsoft Practice to Accelerate AI and Cloud-driven Business Transformation
IBM is strengthening its partnership with Microsoft by establishing a Microsoft Practice within IBM Consulting aimed at leveraging AI, cloud, and security solutions to deliver measurable business outcomes across various industries undergoing digital transformation.
Analytics and AI
NetSuite Analytics and Reporting
AI-powered business intelligence tools help you get the data and insights needed to run your business and make better decisions.
Analytics and AI
GenAI powers new assistant, automated insights in NetSuite 2025.1
AI adoption among small-to-midsize businesses has surged nearly threefold from 2023 to 2024, with Verizon's survey highlighting this trend alongside NetSuite's release of innovative AI enhancements in 2025, including generative AI capabilities for streamlined reporting, data visualization, and tailored insights to improve business decision-making and efficiency.
IFS Industrial AI
Analytics and AI
IFS boosts ARR by 30% in Q1 on Industrial AI Performance
IFS achieved a 30% increase in annual recurring revenue and a 39% rise in cloud revenue in Q1 2025, driven by strong customer adoption of its Industrial AI initiatives, particularly through the IFS.ai platform, leading to a market valuation exceeding €15 billion.
Analytics and AI
A guide to Embedded Analytics in SYSPRO ERP
SYSPRO Embedded Analytics provides manufacturers and distributors with integrated business intelligence tools that enhance visibility, decision-making, real-time reporting, cross-functional data management, and performance tracking, leading to improved operational efficiency.
Analytics and AI
AI That Works for You
Acumatica's AI-powered cloud ERP integrates intelligent capabilities into its platform to enhance efficiency, automation, and decision-making. It offers industry-specific AI solutions that provide practical value, including real-time data extraction, anomaly detection, and predictive forecasting. The AI features are designed to be intuitive and seamlessly integrate into existing workflows, empowering businesses to leverage AI without added complexity.
Analytics and AI
Veolia’s Invoice Processing Rehaul
Veolia found itself struggling with a Shared Service Center (SSC) serving 30 entities of the group, performing inefficient legacy operations.
Analytics and AI
Practical AI, Powerful Results
Discover how Acumatica is revolutionizing ERP systems with practical, industry-specific AI solutions. This blog post explores how AI can transform your business operations by prioritizing security, usability, and customer success. Learn about Acumatica's strategic approach to AI, designed to solve real-world business challenges and deliver immediate value. Dive into the principles of innovation that guide Acumatica's development of transformative technologies, ensuring that AI serves a purpose beyond just technological advancement. Ready to see how AI can work for you? Read on to find out more!
Analytics and AI
SNCF Réseau modernizes its IT management: how Inetum contributes to the implementation of ServiceNow
SNCF Réseau's transition to the ServiceNow platform through the HARMONIS project has centralized and standardized IT service management, improved data quality in its CMDB, and introduced agile methodologies, with plans to enhance user support through AI innovations like a virtual agent.
Analytics and AI
The Impact of AI in the Food and Beverage Industry: An Expert Q&A With Benny Dor and Chad Merck
The article discusses the transformative impact of AI on the food and beverage industry, highlighting its potential to automate processes, improve decision-making, and drive sustainability, while Aptean collaborates with Microsoft to integrate AI capabilities into its ERP systems and support companies in overcoming adoption challenges.
Rootstock Launches Summer ’25 Release with AI Agent, New Data Grid, and Expanded Financials
Analytics and AI
Mastering Data Readiness for Generative AI Success
In today’s AI-driven landscape, businesses struggle with data readiness—poor quality, limited volume, and ethical constraints threaten the success of generative AI initiatives. In addition, questions are frequently asked about improving data quality, what to do with limited data volume, and how to address ethical constraints that threaten the success of generative AI initiatives. This session will explore why these challenges can lead to biased, inaccurate, or outdated outputs that erode customer trust and ROI. By attending this session, you will: Learn strategies to ensure high-quality, diverse datasets that power reliable AI outcomes. Discover how to streamline preprocessing, scale infrastructure, and maintain current data in a compliant way. Leave with insights to transform your data into a competitive edge for Generative AI innovation.
Analytics and AI
Orbit Analytics: User Demo Recap
In a video demonstration, pre-sales engineer Rick showcases Orbit’s reporting and analytics software features, highlighting report creation, sharing, visualization, and dashboard functionality using an Excel dataset.
Analytics and AI
AI in Action: Google Cloud Next ’25 Spotlights Real-World Innovation Across Industries
At Google Cloud Next '25, the company showcased how AI is transforming various industries by enhancing operations, improving customer experiences, and driving innovation, with examples from McDonald's, Intuit, and Verizon, illustrating AI's operational integration and strategic importance.
Google to Acquire Wiz for $32 Billion in Cloud Security Push
Analytics and AI
AI Takes the Lead: Google Cloud Unveils Blueprint for Enterprise Transformation
At Google Cloud Next 2025, Google emphasized that artificial intelligence is not just a future goal but is currently transforming enterprises through accessible and integrated solutions, such as the Gemini models and Vertex AI, providing businesses with the tools and infrastructure necessary to enhance productivity, decision-making, and customer experiences.
Analytics and AI
Virtual Agent launch reduces agent interactions by 85% for top financial services firm
A financial services organization reduced person-to-person support chats by 85% and maintained pre-COVID incident levels by implementing a Virtual Agent to facilitate self-service solutions for common queries, ultimately freeing up agents to handle more complex issues and improving overall support efficiency.
Tackling the Industry’s Biggest Challenges to Drive Manufacturing Forward
Analytics and AI
Tackling the Industry’s Biggest Challenges to Drive Manufacturing Forward
Manufacturers face numerous challenges today, including rising costs and skills gaps, but QAD aims to transform these obstacles into opportunities through pragmatic AI solutions, low-code extensibility, and a deep understanding of industry-specific needs.
Analytics and AI
ServiceNow Acquires Logik.ai to Supercharge AI-Powered CRM Capabilities
ServiceNow has agreed to acquire Logik.ai to enhance its CRM and Sales Order Management capabilities, aiming to streamline sales processes through AI-powered solutions for complex product configurations, thus positioning itself as a serious competitor in the evolving $80+ billion CRM market.
UK Businesses Gear Up for Significant AI Investment in 2025
Analytics and AI
UK Businesses Gear Up for Significant AI Investments in 2025: Freshworks Study
UK organizations are expected to increase their AI investment by 25% in 2025, driven by the recognition of AI's importance in enhancing workplace efficiency and employee experience, with 54% planning a 29% spending boost next year.
A Streamlined Approach to Custom Gen AI Models with NTT DATA Business Solutions
Analytics and AI
A Streamlined Approach to Custom Gen AI Models with NTT DATA Business Solutions
NTT DATA Business Solutions' GenAI Connector simplifies the development of custom generative AI models for businesses, enabling faster and more effective integration of AI into operations, enhancing customer experiences, and driving growth.
Rootstock Launches Summer ’25 Release with AI Agent, New Data Grid, and Expanded Financials
Analytics and AI
Mastering Data Readiness for Generative AI Success
In today’s AI-driven landscape, businesses struggle with data readiness—poor quality, limited volume, and ethical constraints threaten the success of generative AI initiatives. In addition, questions are frequently asked about improving data quality, what to do with limited data volume, and how to address ethical constraints that threaten the success of generative AI initiatives. This session will explore why these challenges can lead to biased, inaccurate, or outdated outputs that erode customer trust and ROI. By attending this session, you will: Learn strategies to ensure high-quality, diverse datasets that power reliable AI outcomes. Discover how to streamline preprocessing, scale infrastructure, and maintain current data in a compliant way. Leave with insights to transform your data into a competitive edge for Generative AI innovation.
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