Emerj AI Research

Enterprise CISOs are under pressure to buy AI-powered security tools, but with vendors increasingly marketing their products as AI, it is hard to tell which tools will reduce risk and which will add cost. And when AI is deployed atop weak access controls, poorly classified data, or limited network visibility, it can exacerbate those gaps. […]

Cleveland Clinic is a nonprofit academic medical center headquartered in Cleveland, Ohio, with operations in Florida, Las Vegas, Toronto, London, and Abu Dhabi. The health system employs 83,000 caregivers and operates 23 hospitals and 300 outpatient facilities.​ In 2025, Cleveland Clinic reported $18.3 billion in operating revenue and recorded 15.9 million patient encounters, including 14.4 […]

Customer service is one of the first areas where banks, insurers, and healthcare organizations have deployed AI directly in front of customers, according to the U.S. Government Accountability Office. In financial services, all ten of the country’s largest commercial banks now use chatbots to engage customers, and more than 98 million U.S. consumers interacted with […]

This article is sponsored by CDD Vault and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.​ Drug discovery is one of the slowest, costliest processes in enterprise R&D. Developing a single FDA-approved therapy typically […]

This article is sponsored by Salesforce and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Customer-facing organizations now face a widening capacity gap driven by escalating multi‑channel demand and the constraints of human-only workflows […]

BHP is reported to be the world’s largest mining company by market capitalization, according to Wikipedia, citing 2025 data. It has more than 80,000 employees and contractors working across operations in Australia, Chile, Peru, Brazil, Canada, and the United States. The company posted US$51.3 billion in revenue for fiscal year 2025, on record production of […]

This article is sponsored by Aquant and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Field service organizations are losing expertise faster than they can capture it, a measurable operating risk, not only a […]

This article is sponsored by Unframe and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Retail has an AI operationalization bottleneck, converting AI investment and experimentation into governed, integrated production capabilities that deliver measurable […]

The core imbalance behind industrial AI’s stalled progress is structural: physical‑operations AI is being asked to run real‑time, safety‑critical control workloads on a fraction of the compute maturity the digital economy already built. This is a compute‑maturity lag — the architectural deficit. OECD data on AI adoption across G7 economies show a clear industry […]

This interview analysis is sponsored by Zafin and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Regulated institutions are deploying AI agents into real workflows. This requires the governance, control, auditability, and cost discipline […]

​Pharmaceutical and life sciences enterprises have proven AI can improve individual stages of discovery, development, and manufacturing — but the industry’s legacy IT infrastructure was never built for frontier-scale compute. This is a structural, industry-wide constraint. The economics make the stakes clear. According to the National Institutes of Health, a discovery can take almost 15 […]

This (article/interview analysis) is sponsored by Elephant Ventures and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Across banking, financial services, and pharma, AI ambition continues to outpace AI deployment. RAND Corporation found that […]

Lowe’s Companies operates as a Fortune 100 home improvement retailer, with fiscal year 2025 sales that exceeded $86 billion. The company employs approximately 300,000 associates and operates more than 1,750 stores, 540 branches, and 120 distribution centers across the United States. Lowe’s reported 16 million customers weekly across an omnichannel network that spans in-store, online, […]

Caterpillar ranks as the world’s largest construction equipment manufacturer and also produces off-highway diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives, headquartered in Irving, Texas. The company employed 118,000 people worldwide at the end of 2025 and posted $67.6 billion in sales and revenues for the year, the highest full-year total in […]

This interview analysis is sponsored by Appdome and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Mobile applications have become the primary interface between enterprises and their customers, and increasingly one of the most […]

The article examines the gap between AI adoption and data governance, noting that 88% of organizations use AI but only 35% have full visibility into unstructured data. It presents four insights from experts: real-time mapping of sensitive data flows, unified governance, pre-development accountability frameworks, and data-level security controls.

Mayo Clinic, a nonprofit academic medical center, employs nearly 85,000 people and reported $473 million in operating income in 2025. The institution is pursuing over 200 AI projects across various maturity stages, including 22 integrated into clinical practice in 2025. This article examines two AI use cases: AI-enabled ECG screening for early disease detection, which increased low ejection fraction diagnosis by 32% in a randomized trial, and AI-powered chart review tool Record Time, which saves physicians 5-30 minutes of prep per visit. Mayo now runs approximately 150 AI models across its system.

Iron Mountain partnered with Emerj to reposition its brand from physical storage to AI innovation. Through podcasts, articles, and PDF reports, the company generated over 30,000 downloads and hundreds of qualified leads in banking and insurance, successfully establishing credibility for its AI-powered search and discovery platform.

Regulated industries such as financial services, legal, tax, and audit face zero tolerance for error when adopting AI. Stanford research shows hallucination rates of 58-88% in general-purpose language models. AI must meet fiduciary-grade accuracy, data protection, and explicit sign-off requirements to be safely deployed. The article distills four key insights: accuracy standards, workflow automation, data guarantees, and accountability.

Despite high technical accuracy, computer vision in manufacturing stalls due to organizational and infrastructural issues. Three key success factors are ecosystem readiness (data, model, integration), business-led ownership, and earning operational trust through small wins.

Service organizations supporting critical infrastructure face a structural mismatch: tightening uptime requirements while maintenance models and technician capacity lag. AI offers anomaly detection for condition-based maintenance, prescriptive guidance for consistent technician performance, and requires operational transformation to succeed.

As AI and optimization become commoditized, traditional supply chain planning no longer provides competitive advantage. Research shows most organizations lack visibility into their Tier 1 suppliers. Based on an Emerj podcast series, this article explores how scenario-driven modeling, AI-accelerated scenario analysis, and unified design environments enable better decision-making under volatility.

Chubb, a global property and casualty insurer, is leveraging AI to automate 85% of its underwriting and claims processes within 3-4 years. Key AI use cases include intelligent underwriting intake, which reduced cycle times from 24 hours to 2 hours in North America, and AI-driven claims document processing, which cut first contact time from 24 hours to 3 hours. The company employs over 3,500 engineers and has built engineering hubs worldwide. Lessons include anchoring AI to cycle-time metrics and building a closed feedback loop between claims and underwriting.

A UC Berkeley study of 1,642 execution traces across seven production multi-agent frameworks reveals failure rates of 41% to 86.7% when agents collaborate. Failures are structural: 41.8% due to missing specification and governance (deadlock), 36.9% due to misalignment (semantic drift). Error amplification reaches 17x without coordination and 4.4x with centralized checkpoints. Cisco Outshift's Guillaume De Saint Marc argues for shared semantic layers, agent-specific controls, and open interoperability as foundations for reliable multi-agent systems.

This article explores why over 80% of enterprise AI projects fail, identifying fragmented data and lack of unified context as primary barriers. Insights from Arango and IBM experts highlight four key areas for building explainable, trustworthy agentic AI systems.

Enterprise AI spend and outcomes are diverging. Federal agencies doubled AI use from 2023 to 2024, but pricing remains a challenge. This article offers four strategies: reversible transformation decisions, evidence-based negotiation leverage, short-cycle commercial commitments, and independent accountability for SI and vendor productivity.

Moderna uses AI to scale productivity and accelerate mRNA sequence design. The company has deployed ChatGPT Enterprise across its workforce, with employees building over 750 custom GPTs, achieving 100% adoption in legal. Its mRNA Design Studio compresses vaccine design from months to days, exemplified by the COVID-19 vaccine's 42-day timeline from sequence to clinical batch.

Agentic AI is becoming the defining capability in modern customer service enterprises, addressing long-standing operational inefficiencies. Based on conversations with Dialpad and Comcast executives, this article explores three key insights: conversation data reveals high-value automation opportunities, AI-led triage augments human agents, and integrated platforms combat fragmented CX. In regulated industries, accuracy, trust, and integration are critical for successful deployment.

Despite rising AI adoption, most deployments expand activity without impacting ROI. This article explores four conditions—problem definition, organizational readiness, cognitive design, and ROI clarity—that determine whether AI initiatives scale beyond pilots to deliver measurable business value, based on insights from HTEC leaders.

This article explores four key insights for moving enterprise AI from isolated wins to repeatable, business-visible impact, based on a podcast series with HTEC leaders Lawrence Whittle, Ronny Fehling, and Tim Sears. The insights cover end-to-end workflows as the real unit of AI value, building AI inside live workflows, scaling from solo users to teams, and changing work rather than just tools.