[seopress_breadcrumbs]

Is Artificial Intelligence for Small Business? Factors to Consider for Technology Adoption

•

Is Artificial Intelligence for Small Business?

AI is being likened to a "Fourth Industrial Revolution" because of it's potential for creating profound change in people’s lives, much like the invention of steam engines (First Industrial Revolution), electricity and mass production (Second Industrial Revolution), and the rise of the digital age (Third Industrial Revolution) had in the past. AI/ML applications are everywhere, from ride sharing companies to voice search on mobile phones. We use AI every day - it feels so accessible to consumers that it must be within reach for small business leaders, too. Given the inevitability of AI's applic...

[mrj_paywall] unauthorized access

Recommended from Emerj

Read more

How Insurance Leaders Bridge the Operational Gap Between Actuaries and IT

This article is sponsored by Akur8 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. The global insurance sector faces intensifying pressure to modernize pricing and reserving functions as legacy infrastructures struggle to maintain…

•

Read more

Architecting the AI‑Native Enterprise for Workforce Agility

This article is sponsored by Eightfold 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.Large enterprises are entering a period where operational performance, transformation timelines, and competitive advantage are constrained more by workforce capability…

•

Read more

Why Architecture Determines the Future of AI Innovation

Enterprises today face a structural information problem. The majority of new business data is unstructured — documents, emails, contracts, and multimedia scattered across fragmented systems. IDC estimates that 90% of the data generated by organizations in 2022 was unstructured. A study by Bar‑Ilan University researchers shows that employees lose meaningful portions of their workweek to…

•

Read more

The Millennium Project: The Business Implications of Global AGI Regulation and Oversight

As geopolitical tensions, economic uncertainty, and rapid advances in frontier AI converge, the governance of Artificial General Intelligence (AGI) has moved from a speculative concern to a central priority for global institutions. Over the past year, leading researchers, including Yoshua Bengio, Stuart Russell, and whistleblowers such as William Saunders, have warned U.S. lawmakers that AGI…

•

Read more

Why Accurate, Real-Time Edge AI Saves Lives in Physical Operations

This interview analysis is sponsored by Motive 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. In industries where seconds matter and margins are thin, delayed feedback, manual processes, and limited visibility make it…

•

Healthcare technology graphic representing Tenet Healthcare’s use of AI for clinical documentation and revenue cycle automation.

Read more

Artificial Intelligence at Tenet Healthcare

Tenet Healthcare Corporation is one of the largest investor-owned healthcare services companies in the United States. Headquartered in Dallas, Texas, the company operates 65 acute care hospitals and over 450 healthcare facilities, including ambulatory surgery centers and other outpatient facilities. As of late 2025, Tenet reported trailing twelve-month revenue of approximately $20.8 billion, a…

•

Read more

Building Compliant AI in a Changing IP Landscape

This interview analysis is sponsored by CCC 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. AI is advancing across enterprise workflows faster than governance frameworks and licensing structures can keep pace. Gaps in…

Matthew DeMello

•

February 25, 2026

Read more

Future GenAI Use Cases for Financial Services

Bankers are flooded with market signals, filings, and global events, yet lack tools to filter out what actually matters for each client, creating information overload that slows decision-making and weakens the impact of advisory. Research from the Boston College Center for Retirement Research shows that as financial complexity rises, investors reduce processing effort, and individuals…

•

February 23, 2026

Read more

Artificial Intelligence at Allianz Two Use Cases

Allianz Group is one of the world's leading insurers and asset managers serving approximately 125 million private and corporate customers across nearly 70 countries. In 2024, the company reported total business volume of $208 billion USD and operating profit of $18.5 billion, per an Allianz media release. Although Allianz does not publicly disclose precise investment…

•

February 14, 2026

Read more

Architecting Enterprise AI for Generative and Agentic Systems – with Ranjan Sinha of IBM

Maintaining legacy IT platforms has become a massive financial and operational drag. Research from Pegasystems Inc., in partnership with research firm Savanta, found that the average global enterprise wastes more than USD $370 million each year on technical debt. The primary reason for this technical debt cited in the study is that legacy transformation projects…

•

February 9, 2026

Read more

Rethinking How Life Sciences Organizations Approach AI – Mathias Cousin of Deloitte

This interview analysis is sponsored by Deloitte 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. Life sciences organizations stand at a paradoxical moment in AI adoption. The technology’s potential is visible in discovery,…

•

February 5, 2026

Read more

Ethical AI Solutions and Their Impact on Regulated Industries

Across regulated and asset-intensive industries, AI adoption is shaped by factors beyond technical feasibility. Organizations now seek to deploy AI systems that deliver measurable operational improvements. At the same time, they must keep these systems safe, explainable, and aligned with human judgment. Errors in these contexts carry real human and economic consequences. In manufacturing, these…

•

February 2, 2026