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.

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.
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.
AI-enabled Supply Chains
Analytics and AI
The Autonomous Advantage: Driving Business Value with AI-Enabled Supply Chains
The modern supply chain is being revolutionized by the integration of agentic AI, which enhances operational efficiency and revenue growth through proactive and autonomous decision-making, though organizations face challenges such as data accuracy and geopolitical risks.
Analytics and AI
Unifying Your ERP Ecosystem Agentic AI Powered Lifecycle Optimization
The on-demand webinar explores how Opkey's Agentic AI-powered ERP Lifecycle Optimization Platform enhances enterprise resource planning through simplified deployment, cost reduction, and intelligent automation for improved efficiency and innovation.
Analytics and AI
How Agentic AI Reduces Costs in ERP Applications Deployment and Maintenance
ERP projects often exceed budgets and face post-implementation challenges due to unclear business processes, resistance to change, inadequate training, and the need for ongoing updates, but these issues can be mitigated by leveraging agentic AI solutions that automate process discovery, enhance training, streamline user acceptance testing, and improve update testing.
Analytics and AI
NetSuite Boosts UK Business Efficiency with Expanded AI Capabilities
Oracle NetSuite has expanded its AI capabilities in the UK to enhance efficiency for businesses by introducing AI agents and generative functionalities that streamline data entry, boost productivity, and facilitate informed decision-making at no additional cost.
Tech Transformation 2025
Analytics and AI
The 2025 Tech Transformation Playbook: Lessons from Leading CIOs
In a panel discussion featuring IT leaders, key trends highlighted include business process automation as a priority for 2024, the widespread yet uneven adoption of SAP S/4HANA, the ongoing challenges of AI integration, and the critical importance of data management for successful transformations, underscoring the need for bold organizational changes and a cultural shift towards digital and data-driven methodologies.
AI
Analytics and AI
Empowering Your Business with AI: Key Features in ServiceNow’s Yokohama Release
The Yokohama release of ServiceNow introduces innovative AI features, including an AI Governance Module for secure deployment, Now Assist for ATF and eBook Generation to boost operational efficiency, and Spoke Generation along with Table Summarization to enhance integration and data insights, thereby empowering business technology decision-makers to optimize their AI initiatives.
Analytics and AI
The Melting Pot of AI & ERP: Transforming Enterprises with Affective and Augmented Intelligence
The future of ERP systems lies in transforming them from transactional and reactive tools into intelligent, emotion-aware, and proactive decision-making partners by leveraging affective and augmented intelligence, enabling businesses to enhance operational efficiency, predict risks, and adapt seamlessly to challenges.
Inetum
Analytics and AI
The Future of Digital Transformation
Insights from Intetum UK CEO Kathy Quashie 
Analytics and AI
Engineering Trust in the Heart of AI
Insights from PWC’s UK Head of AI Public Policy and Ethics.
Boomi launches AI Studio to manage the agentic AI revolution
Analytics and AI
Boomi launches AI Studio to manage the agentic AI revolution
Boomi has launched Boomi AI Studio, a vendor-agnostic platform set to be generally available in Q2 2025. It enables organizations to design, monitor, and manage AI agents securely at scale, while ensuring compliance, particularly for ERP systems.
headline - stock image of the world in a cube | Google Cloud and BNB Chain
Analytics and AI
EY Announces AI-powered Blockchain Analyzer Tool to Bolster Vulnerability Detection
EY has launched enhanced AI capabilities for its Blockchain Analyzer's Smart Contract and Token Review tool, automating testing processes to reduce review times by over 50% and improve vulnerability detection, addressing the increasing security needs in the blockchain environment.
Mike Gannon to head Snowflake’s revenue operations
Analytics and AI
Mike Gannon to head Snowflake’s revenue operations
Snowflake has appointed Mike Gannon as Chief Revenue Officer to succeed retiring Chris Degnan, with Gannon's extensive sales leadership experience expected to drive the company's growth and enhance its platform capabilities in enterprise data solutions.
Analytics and AI
Case Study – CloudPaths and Blue.Cloud
After a failed implementation by a previous partner, CloudPaths stepped in to meet Blue.Cloud’s complex NetSuite needs, including Services Resource Planning (SRP) and Bamboo HR integration. Solutions like ARM and SuiteProjects modules delivered 100% project profitability visibility and supported rapid growth and operational efficiency.
Vonage and SAP expand collaboration for AI-driven enterprise experiences
Analytics and AI
Vonage and SAP expand collaboration for AI-driven enterprise experiences
Vonage has expanded its partnership with SAP to integrate its communication APIs with SAP Business Technology Platform and Business AI, aiming to create intelligent applications that enhance enterprise automation and customer engagement, with a pilot demonstration scheduled for Mobile World Congress 2025.
The letters 'AI' are imprinted on a gold plaque on top of a black circle | SAP Aleph
Analytics and AI
Ensuring Compliance with the EU AI Act with Kyriba
The EU AI Act, the world's first comprehensive AI regulation, mandates new transparency, data quality, and bias reduction standards for businesses operating in Europe, categorizing AI providers by risk level while emphasizing the need for compliance, particularly in finance applications, as companies must adapt their practices amidst rising AI investments.
Analytics and AI
How Industrial AI can Support Sustainability Goals
The webinar hosted by IFS and ERP Today will explore how Industrial AI can enhance operational efficiency and sustainability by optimizing processes, minimizing waste, and improving resource utilization, while providing best practices for integration and discussing the impact on environmental, social, and governance (ESG) objectives.
Analytics and AI
How Industrial AI can Support Sustainability Goals
The webinar hosted by IFS and ERP Today will explore how Industrial AI can enhance operational efficiency and sustainability by optimizing processes, minimizing waste, and improving resource utilization, while providing best practices for integration and discussing the impact on environmental, social, and governance (ESG) objectives.
Nextworld secures $65M funding to accelerate AI-driven ERP innovation
Analytics and AI
ServiceNow unveils AI agents for telecom 
ServiceNow has launched AI agents tailored for the telecom industry, leveraging NVIDIA AI software to automate labor-intensive workflows in customer service and network operations, thus optimizing efficiency and customer satisfaction while facilitating better decision-making through a centralized orchestration system.
AI-enabled Supply Chains
Analytics and AI
Accenture invests in Workhelix to prepare workforces for Gen AI
Accenture is strategically investing in Workhelix to enhance its LearnVantage platform for AI-driven workforce optimization and training, addressing the critical AI skills gap and preparing organizations for the future of work.
insightsoftware
Analytics and AI
Lineos Brings AI-Powered Efficiency to Finance Teams
Insightsoftware's new AI-driven suite, Lineos, aims to revolutionize financial planning and analysis by automating manual data tasks, allowing finance teams to focus on strategic decision-making and enhancing productivity while ensuring secure integration with existing systems.
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