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.

India Digital Economy
Analytics and AI
Why Hyperscalers Are Investing $67.5B in India
Microsoft and Amazon plan to invest a total of $52.5 billion in India's AI and digital infrastructure, reflecting a broader trend of significant investments from tech giants aimed at enhancing the country's digital economy and capacity to support advanced technologies.
Analytics and AI
Agentic AI Defined and How It Is Reshaping the Enterprise Architect’s Role
The rise of agentic AI in enterprise applications is transforming the role of architects from static designers to dynamic overseers, requiring new workflows and governance models as AI increasingly undertakes decision-making tasks historically handled by humans.
Analytics and AI
AI Agents Outperform RPA by 40% in Unstructured Document Processing, Study Shows
Artificio Products' research reveals that AI agents outperform traditional RPA in unstructured document processing, achieving 40% higher accuracy rates and significant cost and deployment advantages.
Analytics and AI
AWS Enters the AI Factory Race, Raising Stakes for Cloud-Data Sovereignty, Enterprise Architecture
Amazon Web Services (AWS) is launching on-premises AI factories that integrate advanced hardware and managed service offerings into customer data centers, enabling organizations to develop and deploy AI applications while addressing data sovereignty concerns and enhancing their existing ERP systems.
Implementing Cloud ERP: Codestone’s Six-Phase Approach
Analytics and AI
Cloud ERP Market Growth by Market Segment, Region
The cloud ERP market is projected to grow to nearly $177 billion by 2032, driven by increased demand across industries for scalable, AI-enabled solutions that enhance data handling, with North America leading the market and Asia-Pacific rapidly growing.
Analytics and AI
IBM, AWS are Accelerating Enterprise Agentic AI Deployment
IBM and AWS are enhancing their Agentic AI initiatives through a partnership that integrates AI capabilities and solutions, aimed at improving enterprise productivity and customer experiences while facilitating secure software development and ERP modernization.
SAP SuccessFactors
Analytics and AI
Global HR Agent Delivers Real-Time Advisory for SAP SuccessFactors
Globalization Partners' G-P Gia is now available on SAP Store, providing real-time, compliant global HR guidance through an integration with SAP SuccessFactors and Joule, enhancing efficiency for multinational companies.
Aerial view of airplane at airport
Analytics and AI
Awery, Cirium Enter Strategic Partnership for Integrating Aviation Data, Analytics
Awery Aviation Software and Cirium have formed a strategic partnership to integrate Cirium's aviation data and analytics into Awery's ERP platform, enhancing operational intelligence and providing users with real-time access.
Analytics and AI
Annexa Integrates NetSuite Innovations With AI
Annexa is increasingly focusing on AI to enhance its Oracle NetSuite solutions across Australia and New Zealand, integrating technologies like its Model Context Protocol and large language model APIs.
ERP AI
Analytics and AI
Appficiency Backs AskCipher for Faster ERP Deployments
Appficiency's strategic investment in AskCipher, an AI-powered platform for enterprise software, aims to streamline ERP implementations by providing a universal AI interface that adapts to various business contexts, thereby reducing costs and accelerating deployments.
The AI Responsibility Gap: A Looming Threat to Business?
Analytics and AI
Project Gecko Focused on Creating Affordable, Customizable AI Systems
Microsoft's Project Gecko aims to create affordable, customizable AI systems for the global majority by utilizing local languages and multimodal content, featuring the MMCTAgent framework that enhances AI interactions.
Analytics and AI
NATO Taps Google Cloud for AI-Ready Sovereign Infrastructure
NATO has partnered with Google Cloud to enhance its digital modernization through a multimillion-dollar commitment to an air-gapped sovereign cloud environment, improving data governance and enabling AI-driven workloads while maintaining strict security and operational control.
SAP Sovereign Cloud
Analytics and AI
SAP Is Building a Sovereign AI Stack for Europe
Regulatory trends in the EU are fostering a shift towards sovereign cloud and AI infrastructure, highlighted by companies like SAP, which has invested in local partnerships with firms like Mistral AI to enhance digital autonomy and develop industry-specific applications.
Unit4 and Pragmatic AI
Analytics and AI
AI Agents Shifting from Hype to Enterprise Workflow Redesign: IBM Webinar
The misconceptions about AI agents primarily stem from enterprise expectations rather than the technology itself, emphasizing the need for organizations to redesign workflows for effective adoption and integration of AI systems.
Workday Data Cloud
Analytics and AI
Workday’s EU Sovereign Cloud to Support Compliance, AI Adoption
Workday announced its EU Sovereign Cloud, set for 2026 release, which enables European customers to utilize AI-driven HR and finance solutions while ensuring compliance with emerging data regulations.
Amazon AWS
Analytics and AI
New AI Agents Make AWS ProServe Projects Faster
AWS has launched the Professional Services Delivery Agent, an AI-powered tool that enhances AWS ProServe engagements by automating routine tasks, thereby significantly improving project turnaround times and reducing costs.
Analytics and AI
ServiceNow Advances Enterprise AI Through Integrations with Microsoft
ServiceNow announced integrations with Microsoft, including Microsoft Agent 365, to create seamless AI orchestration and governance for businesses, enabling autonomous workflows and visibility across Microsoft 365 and the ServiceNow AI Platform.
Coda
Analytics and AI
Five AI Trends Affecting Enterprise Scaling, Transformation
At the Gartner 2025 IT Symposium/Xpo, key discussions highlighted the necessity of modernizing ERP systems for AI integration, emphasizing data quality, workforce development and more.
Analytics and AI
IFS Partners with Anthropic to Develop Industrial AI Solutions
IFS Nexus Black and Anthropic have partnered to launch Resolve, a specialized AI solution aimed at transforming critical industries by embedding safety-aligned AI into operational workflows.
Analytics and AI
IFS Showcases AI Impact Through Industry-Specific Scenarios
IFS's innovations at the Industrial X Unleashed event showcased partnerships with leading AI firms to integrate industry-specific solutions that enhance predictive maintenance, improve operational efficiency and transform asset management.
Workday mid-size enterprise success
Analytics and AI
Workday Boosts ERP Automation with Pipedream Buy, BigQuery Patnership
Workday has announced plans to buy Pipedream to enhance ERP-native automation with over 3,000 pre-built connectors, and partnered with Google BigQuery to improve data integration and analytics, while also expanding its Workday GO solution for global payroll and faster deployments.
Blake Moret, CEO of Rockwell Automation.
Analytics and AI
Going from Automation to Autonomy at Rockwell Automation Fair
At Rockwell Automation’s Automation Fair, CEO Blake Moret emphasized the future of manufacturing through simplified automation and AI integration, while Plex's Michael Hart highlighted the importance of structured data and human-centered autonomy in evolving from automation to smarter, more autonomous operations.
AI risk management
Analytics and AI
SAP Signavio AI Agent Mining Tackles Invisible Autonomy Risk
SAP users are increasingly incorporating AI agents into workflows, which introduce 'invisible autonomy' risks that necessitate oversight, prompting the launch of SAP Signavio's AI agent mining capability to enhance monitoring, efficiency, and performance assessment of these agents.
Zuora Monetization Catalog
Analytics and AI
How Zuora’s New AI-Ready Catalog Targets the Hard-Coding Bottleneck
Zuora's new Monetization Catalog aims to alleviate the tension between product innovation and rigid financial infrastructure by enabling business users to create and launch dynamic, usage-based pricing models without code.
Analytics and AI
Strong AI Governance is Critical to Responsible Enterprise Deployment
As companies rapidly adopt generative and autonomous AI technologies, effective governance has become essential to mitigate risks such as accuracy, bias, and compliance, necessitating executive oversight and coordinated efforts across various departments to ensure trust and accountability in AI deployments.
IBM office building | IBM announces expansion to its software portfolio in AWS marketplace
Analytics and AI
IBM Embeds AI Consulting Tools Inside Microsoft Copilot, Cites 250,000 Hours Saved
IBM integrates its Consulting Advantage with Microsoft Copilot to enhance efficiency for consultants, saving over 250,000 hours annually, by optimizing access to proprietary information within familiar Microsoft 365 applications while maintaining governance and oversight.
Analytics and AI
Microsoft Leans on OpenAI’s Custom Chip Designs to Accelerate In-House Silicon Strategy
Microsoft is deepening its collaboration with OpenAI by leveraging the startup's custom chip designs for its own semiconductor strategy, while addressing concerns about AI hardware depreciation, which may influence enterprise decisions on long-term cloud and AI investments.
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