Areas of Interest
Content Type
Industries
- Aerospace and defense
- Banking, Financial Services, and Insurance
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- Federal Government
- Healthcare and life sciences
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- Higher Education
- Media and entertainment
- Private equity
- Public Sector
- Retail and manufacturing
- Social Impact Institutions
- Travel and transportation
Technologies
- Artificial Intelligence
- Automation
- Blockchain
- Business and data analytics
- Cloud
- Customer relationship management (CRM)
- Cybersecurity
- Digital Services
- Enterprise resource planning (ERP)
- Human capital management (HCM)
- Internet Of Things
- Machine Learning
- Networking
- Supply chain management (SCM)
- Virtual reality/Augmented reality
Areas of Interest
Latest Reports
European IT Spending and Staffing Benchmarks 2024/2025: Chapter 2: Composite Benchmarks
This chapter provides composite metrics for all survey respondents across all sectors and organization sizes. The sample includes 154 organizations and is stratified by size and sector as described in the survey methodology section. Respondents must have at least €50 million in annual revenue or IT spending greater than €1 million and maintain at least some operations in Europe. There is no upper limit on the size of survey respondents.
European IT Spending and Staffing Benchmarks 2024/2025: Chapter 1: Executive Summary
Chapter 1 provides an overview of the key findings from the full study and describes the contents of the subsequent chapters. It also includes information on the study participants and the survey methodology.
Optimizing Power Consumption in Data Centers in the age of AI
As companies increasingly repatriate their data centers, optimizing power consumption has become a crucial priority for enterprise buyers. This shift offers opportunities for improved operational efficiency while also presenting challenges related to energy management, sustainability, and resource utilization. The demand for power in data centers, is further augmented by the rising energy needs of high-performance chips. This exponential data growth and increased compute power requirements are further stressing the existing power infrastructure. As the use of large data becomes more widespread, optimizing power within datacenters will become crucial to the enterprise spend and operational efficiency.
IFS Boosts Its Offerings in the Unsung Hero of AI: Industrial AI
IFS is highlighting the power of industrial AI, a specialized form of AI that optimizes industrial processes, at its recent conference. Unlike generative AI, industrial AI focuses on sectors like energy, manufacturing, and infrastructure. IFS.ai, the company’s platform, plays a key role in improving efficiency, safety, and sustainability by integrating AI into its enterprise solutions. It supports advanced robotics, predictive safety, AR maintenance, and supply chain management, helping industries like energy distribution, aviation, and package delivery run smoothly.
Clinical Data Management Business Process Transformation 2024–2025 Market Insights™
The Clinical Data Management Business Process Transformation 2024–2025 Market Insights assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any clinical data management transformation project. The report also highlights the evolution of the clinical data management functions and emerging priorities of healthcare organizations.
Leveraging AI-/ML-based Solutions and Partnerships with CROs to Deliver Patient-centric Trials across Multiple Countries
Clinical Data Management Business Process Transformation 2024–2025 RadarView™
The Clinical Data Management Business Process Transformation 2024–2025 RadarView™ assists organizations in identifying strategic partners for clinical data management business process transformation by offering detailed capabilities and experience analyses for service providers. It provides a 360-degree view of key clinical data management business process transformation service providers across practice maturity, domain ecosystem, and investments and innovation, thereby supporting enterprises in identifying the right service partner. The 61-page report highlights top supply-side trends in the clinical data management and clinical trials space and Avasant’s viewpoint on them.
The Rise of Agentic AI: Salesforce Leads the Charge with Agentforce
The market for enterprise-ready, generative AI-driven CRM solutions is rapidly transforming with the emergence of agentic AI. This evolution, from predictive bots to responsive copilots, has culminated in agents that not only generate responses but also take action. At Dreamforce 2024, Salesforce introduced Agentforce, an autonomous AI agent that automates every customer interaction and integrates seamlessly across platforms such as Slack, offering an upgrade over Einstein Copilot. While Salesforce currently leads the way in agentic AI, competitors are swiftly closing the gap. As Gen AI rapidly evolves, enterprises stand to gain from the innovations and advancements made by leading platform vendors.
Divestment: A Strategic Tool for Portfolio Optimization
In today’s dynamic business landscape, divestment – the strategic sale of assets, subsidiaries, or business units – has become an increasingly utilized tool for companies seeking to optimize their portfolios and achieve specific strategic objectives. By divesting non-core assets, companies can sharpen their focus on core competencies, leading to a cascade of benefits: streamlined structures, reduced complexities, and better resource allocation. These benefits contribute to improved operational efficiency, often resulting in significant profitability gains within a few years post-divestment.
Generative AI Services 2024 Market Insights™
The Generative AI Services 2024 Market Insights assists organizations in identifying important demand-side trends that are expected to have a long-term impact on their Gen AI projects. The report also highlights the key challenges enterprises face today in this space.
