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“2026 Global AI Report: A Playbook for Private and Sovereign AI”

AI is forcing a redesign of enterprise architecture and infrastructure

For years, progress in AI meant better models. Today, the primary challenge to progress is the layer underneath: infrastructure. Enabling private and sovereign AI requires significant changes. Systems built for centralized, borderless data flows are struggling to support AI that must run in controlled, and increasingly localized, highly jurisdictional environments.

The 2026 Global AI Report: A Playbook for Private and Sovereign AI is the next in a series of content based on our global research.*

Five themes have emerged from our analysis:

  1. AI is running into a wall — and it’s not the model
  2. Data jurisdiction is becoming an architectural constraint
  3. Everyone sees the shift, but few are acting on it
  4. Leaders redesign early and move decisively, creating competitive divergence
  5. Private and sovereign AI sound like independence but are built on tightly orchestrated ecosystems

The playbook explores:

  1. The role of geopolitics and the need for greater data control
  2. Factors influencing organizations’ AI infrastructure choices
  3. Why legacy infrastructure is an ever-present constraint
  4. Why building private and sovereign AI requires outside assistance
  5. How a cohort of AI leaders is succeeding with private and sovereign AI-first approaches
  6. Complete the form to access your playbook download.

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“10 Areas Manufacturers Might See an Impact from AI”

Unlock the future of manufacturing with AI.

Are you ready to take your manufacturing business to the next level? Discover how Artificial Intelligence (AI) is reshaping the manufacturing landscape. As technology advances, so does your potential for growth, efficiency and profitability.

What this whitepaper does:

Helps you combat labor and inventory shortages

Shows you how to harness AI’s power to optimize your processes

Gives you ways to predict customer demand and trends with pinpoint accuracy

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“AWS Gamechangers in Airlines: How Air Canada and IBM Consulting use agentic AI to deliver exceptional customer experience”

Air Canada partnered with IBM Consulting to deploy agentic AI on Amazon Bedrock, boosting productivity by up to 80% in software development and operations. The platform automates incident analysis, speeds product launches, and reduces downtime across critical systems serving 47 million passengers annually. Explore their transformation approach.

Canada’s largest airline, serving 47 million passengers annually, prioritized enhancing customer experience and systems modernization. Air Canada works to strengthen system reliability, reduce downtime, and accelerate software delivery across its network spanning six continents and 180+ airports.

Air Canada and IBM Consulting addressed these challenges by creating an AI ecosystem on Amazon Bedrock to transform the software development lifecycle (SDLC). Highlights include:

· 80% productivity gains via automation and faster software delivery
· Real-time system monitoring with minimal overhead
· Improved security while meeting industry standards

Explore this partnership in the full case study.

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“Leading Through Uncertainty: The Power of Strategic Doubt”

A human-centered guide to making high-stakes choices

In an era defined by ambiguity, modern leaders must move beyond simple dilemmas with straightforward answers to navigate complex, high-stakes decisions. While many view uncertainty as a liability, research from UVA Darden reveals that embracing doubt is a foundational skill for success. By reframing hesitation as a catalyst for curiosity, leaders can transform paralyzed decision-making into a powerful engine for innovation and growth.

  • Reframe Uncertainty: Treat doubt as a “green light” to pause and get curious rather than a sign of weakness.
  • Dissolve Trade-offs: Look past “either/or” choices to create better, more creative alternatives that satisfy multiple goals at once.
  • Focus on Process: Hold teams accountable for how they reach a decision, which reduces bias and leads to more consistent, long-term success.
  • Test and Learn: Break the habit of needing to be right by testing ideas early and using feedback to refine your strategy.

Download this insightful paper and learn how to use these human-centered tools to navigate volatility with purpose, turning every moment of uncertainty into a strategic competitive advantage. 

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“Psychological Safety in Workforce Management”

Brought to you by ICMI

Psychological safety plays a critical role in the effectiveness of Workforce Management (WFM) teams. In environments driven by accuracy, accountability, and real-time decision-making, employees must feel safe to raise concerns, ask questions, and challenge assumptions. Let’s explore the importance of psychological safety within WFM, the risks associated with its absence, and practical strategies leaders can use to foster a culture of trust, engagement, and continuous improvement. 

Download now to continue reading!

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“2026 State of Leave and Accommodations”

We surveyed 1,200 HR professionals about their leave and accommodations programs. Our findings reveal a leave and accommodations landscape that is only getting more complex and challenging for HR to navigate.

Leave and Accommodations Requests Keep Rising

For the third year in a row, the majority of HR leaders report continued increases in both leave and accommodations requests. Caseloads are growing, situations are becoming more complex, and employee support needs continue to evolve. HR needs a lifeline, either via technology or headcount, to keep up with everything and stay compliant.

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“The Total Economic Impact of Anaconda”

Cost Savings and Business Benefits Enabled by Anaconda

Need hard data to justify your AI technology investments? Our new Forrester Total Economic Impact™ study delivers exactly that.

Quantifiable ROI Metrics:

  • 119% return on investment with 8-month payback period
  • $1.18 million in total benefits over three years
  • $840,000 in operational efficiency gains
  • $179,000 in technology cost savings through platform consolidation
  • 80% reduction in developer time spent on package management

The comprehensive analysis follows organizations across industries that transformed their AI initiatives from cost centers to profit generators using the Anaconda AI Platform. Unlike theoretical projections, this study provides documented evidence of financial returns achieved through:

Accelerating time-to-market for AI solutions

Reclaiming 25% of developer time for value-generating activities

Reducing security-related expenses by 60%

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“7 Key Trends in Law Firm Rate Negotiations”

Download the guide to learn the seven trends redefining law firm rate negotiations in 2026. Explore how leading legal departments are using data, structure, and strategy to stabilize budgets, strengthen firm relationships, and confidently counter rising rate pressures.

Outside counsel rates are climbing at unprecedented levels — and the largest global firms are pushing for double‑digit increases across key markets. To protect budgets and secure long‑term value, today’s general counsel must lead negotiations with clarity, discipline, and real market intelligence. 

In this guide, you’ll discover the seven trends shaping law firm rate negotiations in 2026 and how top in‑house teams are responding. Using aggregated data collected from rate requests and negotiations on the PERSUIT platform, this guide provides the insights and strategies legal teams need to navigate a fast‑shifting market with confidence. 

Download this guide to learn: 

  • Why rate pressures continue accelerating — and where firms are pushing the hardest 
  • How to use multiyear deals, rate cards, and band structures to control costs 
  • How to negotiate the increase, not the discount, to reduce real spend impact 
  • Practical ways to secure value‑adds like secondments, early scoping, and volume efficiencies 
  • How segmentation and carve‑outs protect legacy matters from unnecessary inflation 
  • Why modest structured increases are replacing traditional rate freezes 
  • How data, benchmarking, and continuous WIP monitoring transform negotiation outcomes 

Take the first steps to strengthen your rate strategy going into 2026 and lead negotiations with data‑backed confidence to build more transparent, sustainable law firm relationships. Download the guide today. 

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“Governing What Matters 2026 – an Alation Report”

Why Data Prioritization Is Becoming the Foundation of AI-Ready Enterprises

As enterprises accelerate AI and advanced analytics initiatives, many are discovering that traditional data governance models are no longer fit for scale. Ambitious AI strategies are colliding with fragmented data foundations, inconsistent definitions, and governance programs designed for a far simpler data landscape.

Governing What Matters explores why leading organizations are shifting away from “govern everything” approaches and toward intentional data prioritization — focusing governance efforts on the data that directly impacts regulatory compliance, executive decision-making, and high-value business outcomes.

Featuring insights from senior data leaders at Citigroup and ICBC, alongside Alation experts, the report reveals how enterprises are building data confidence by identifying Critical Data Elements (CDEs), reducing governance friction, and creating trusted foundations that enable AI at production scale.

Rather than treating governance as a compliance burden, the research shows how outcome-driven governance is becoming a strategic enabler of faster analytics, scalable AI, and enterprise-wide trust in data.

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“AI Governance: Putting the Horse in Front of the Cart”

Brought to you by Enterprise Connect

The Enterprise Connect conference session on AI Governance, led by Melissa Swartz and Brian Harrison, addressed the critical need for organizations to develop robust AI governance frameworks. As AI tools become more integrated into daily operations, organizations face unique challenges regarding security, compliance, data privacy, and ethical considerations. The discussion emphasized proactive governance, cross-functional collaboration, and continuous policy updates to mitigate AI-related risks. Download now to continue reading!

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