Areas of Interest
Content Type
Industries
- Aerospace and defense
- Banking, Financial Services, and Insurance
- Energy and Resources
- Federal Government
- Healthcare and life sciences
- High-tech and telecommunications
- 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
Real-Time Market and Pricing Intelligence in Life Sciences: A Technology and IT Services Perspective
Real-time market and pricing intelligence is rapidly becoming a strategic differentiator in life sciences. What was once a reporting-oriented analytics function is now central to launch strategy, reimbursement positioning, and portfolio value optimization. As pricing scrutiny intensifies across global markets and payor influence expands, life sciences organizations are shifting from retrospective reporting to forward-looking, scenario-based decision-making. Cloud platforms, AI-driven analytics, and integrated commercial data ecosystems are enabling enterprises to simulate competitive responses, anticipate reimbursement shifts, and refine pricing strategies before critical market events occur.
Manifest Vegas 2026: How Intelligence, Risk, and Resilience Are Redefining the Global Supply Chain
In recent years, global supply chains have been operating under sustained and elevated uncertainty. Geopolitical tensions, trade policy shifts, labor constraints, and macroeconomic instability together make volatility a persistent feature of the operating environment. At the same time, supply chain disruptions have become both more frequent and more consequential, with large enterprises experiencing material operational, financial, and compliance impacts from delays, shortages, theft, and regulatory shocks. As volatility has shifted from episodic to structural, the limitations of traditional, efficiency-led supply chain models—designed for stability and predictability—have become increasingly evident.
From Workflow Analytics to Enterprise Decision Intelligence: What ServiceNow’s Pyramid Analytics Acquisition Really Signals
ServiceNow’s acquisition of Pyramid Analytics represents the next phase of its Workflow Data Fabric vision. Initially focused on zero-copy connectivity to distributed enterprise data, ServiceNow progressively added interpretation through governance and catalog capabilities, including the acquisition of data.world, alongside Platform Analytics and AI Data Explorer. However, as businesses move toward enterprise-wide decisioning and agentic execution, connectivity and insight alone are insufficient. Pyramid Analytics adds governed semantic modelling, advanced analytics, and conversational querying.
Agentic AI Use Cases and Adoption in the Banking Industry Playbook
Banks are transitioning from AI-assisted productivity to agent-led execution, enabled by advances in foundation models, orchestration runtimes, API-centric modernization, and regulatory clarity. Agentic AI is enabling banks to plan, decide, and execute multistep workflows across servicing, payments, lending, and compliance with minimal human intervention. Institutions are prioritizing scalable execution areas to demonstrate measurable ROI while redesigning complex, high-impact processes for phased autonomy. Governance, auditability, and ecosystem integration are emerging as critical enablers for responsible enterprise-wide deployment.
Leveraging Population Health Analytics for Value-Based Care
Value-based care (VBC) models require healthcare organizations to manage risk, utilization, and quality across defined populations rather than on an individual basis. Population health analytics enables this shift by providing population-level insights for risk adjustment, care gap closure, and performance monitoring. Traditional approaches, however, are often retrospective and limited by reliance on structured data, constraining their effectiveness under shared-risk and capitated arrangements.
AI-Driven Customer Intelligence: How Unstructured Data Becomes Revenue
Generative AI conversations in the enterprise have been dominated by a single narrative: cost takeout and agent automation. Yet a quiet shift is underway at industry leaders, reshaping how companies monetize AI investments. At a recent analyst day with iQor, a customer experience services and technology provider, the message was clear – the real value lies not in what AI eliminates, but in what it unlocks: revenue.
Large M&A Deals: When Integration Friction Outpaces Synergy Gains
When Concentrix acquired WebHelp for $4.8 billion in Q3 2023, the deal promised to create “the diversified global CX leader” with accelerated growth and $120 million in synergies by Year 3. Similarly, Teleperformance’s €3 billion acquisition of Majorel in November 2023 aimed to “reinforce leadership position” with €100-150 million in cost takeout. Both acquirers were industry leaders. Both targets were profitable, growing businesses. Yet within quarters of closing, both combined entities experienced immediate revenue deceleration rather than the anticipated acceleration.
The 24-Month Pricing Reset: How Autodesk, Bentley, and Hexagon Are Rewriting Renewal Economics
Pricing and licensing models across core engineering software platforms are becoming more restrictive, consumption-driven, and unpredictable. For engineering and construction enterprises, this shift increases renewal risk, weakens negotiation leverage, and exposes capital programs to unplanned cost escalation. This paper outlines how enterprises can respond through license optimization, peer benchmarking, and stronger commercial governance. It also highlights how Avasant helps organizations move from reactive renewals to proactive, data-led negotiation strategies, preserving budget control, improving transparency, and enabling sustainable long-term value.
CX Center Business Process Transformation 2025–2026 Market Insights™
The CX Center Business Process Transformation 2025–2026 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any CX center services project. The report also highlights key challenges that enterprises face today.
Enterprises Redefine CX Centers Around Intelligence, Integrated Workflows, and Outcome Accountability
Enterprises will transition to AI‑first CX models powered by generative AI, agentic AI, conversational AI, predictive analytics, and cloud‑native CCaaS platforms to automate routine demand and intelligently orchestrate customer journeys. They will use AI copilots, real‑time decision engines, autonomous workflows, and smart knowledge systems to deliver faster resolution and proactively prevent issues, while human agents will focus only on complex, emotional, or high‑value interactions. However, this evolution will also bring practical challenges—enterprises will face data fragmentation, legacy integration hurdles, new AI governance demands, and workforce upskilling gaps as automation reshapes roles and processes. Despite these constraints, CX will move toward becoming a predictive, automated, and outcomes‑driven engine, with success hinging on an organization’s ability to modernize infrastructure, unify data, and maintain the right balance between human judgment and AI‑led efficiency.
