In today’s Tech Pulse, gain insight into how:

• Healthcare is moving beyond "one-size-fits-all" AI with domain-specific, multi-agent systems that deliver governance in high-stakes environments.

• Telecom operators can tap into the $1 trillion global ad market by leveraging first-party data and privacy-focused ad-tech strategies to unlock new revenue.

• Insurers are using AI to humanize customer experiences, from automating repetitive workflows to delivering empathetic, 24/7 support.

Each of these articles is penned by members of Forbes Technology Council, key luminaries shaping the future of technology leadership.

Grab your coffee, and let's dive in!

Smarter AI: The New Chapter in Healthcare GenAI

Early adoption of GenAI in healthcare relied on all-encompassing large language models (LLMs)—a strategy now outpaced by its challenges, from spiraling costs to limited precision. The next era of GenAI isn't about bigger models but about smarter, modular systems that deliver measurable value while adhering to strict governance.

Here’s what’s shaping the future of GenAI in healthcare:

🧠 Specialized Approaches: Brute-force "one-size-fits-all" models are out. Modular pipelines that separate data extraction, reasoning, and communication are safer, faster, and transparent—ideal for high-stakes industries like medicine.

🤖 Multi-Agent Teams: Specialized AI models that work together as collaborative “teams” (e.g., medication oversight, patient history analysis) outperform individual LLMs, mimicking real-world healthcare collaboration.

🏥 Domain-Specific Mastery: Healthcare requires LLMs designed around clinical workflows, medical vocabularies, and patient safety, not general models. Expect specialized AI to dominate in regulated environments.

✅ Governance at the Core: From AI registries tracking model lineage to red-teaming for bias checks, trust and transparency are now fundamental parts of the AI stack.

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Unlocking Telecom’s Ad-Tech Potential

With global digital ad revenue exceeding $1 trillion in 2025, telecom operators are eyeing a lucrative opportunity. While tech giants thrive on advertising, telcos sit on an untapped goldmine of first-party subscriber data. By responsibly leveraging this information, carriers can create new revenue streams and transform experiences.

Here’s how telecoms can tap into the digital ad boom:

🌍 Leverage Underused Data: Telecoms possess unique insights like location data and network usage patterns. When anonymized, this data allows advertisers to craft precise, real-time segments (e.g., café commuters or vacation planners).

🔒 Prioritize Privacy: Trust is key. Operators must use tools like data clean rooms and enforce opt-in mechanisms to protect consumer privacy while complying with regulations.

📡 Explore Ad-Supported Models: Introduce tiered plans with ads that subsidize affordable or free services, similar to ad-supported mobile plans on TextNow.

🛠 Modernize Tech & Partnerships: Upgrade systems for real-time data integration and partner with ad-tech and AI firms to innovate at scale.

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AI Is Humanizing Insurance, Not Replacing It

AI in insurance often feels like hype, but its real potential lies in solving everyday challenges for customers and employees. Instead of aiming for futuristic transformations, insurers that are making meaningful progress focus on small, practical applications that deliver immediate value and build trust.

Here’s what’s working now:

💻 Streamlined Workflows: A "Model Context Protocol" (MCP) allows staff to talk to systems for data entry tasks (e.g., “Add this equipment to a policy”), saving hours each week and simplifying workflows.

🛩 AI as a Copilot: A drone underwriting assistant extracts key details, drafts questions, and triages risks. It frees underwriters to focus on decision-making, not paperwork.

📞 24/7 AI Voice Agent: AI can handle after-hours queries and escalates complex issues to human agents. Faster responses, better data, and empathetic service build trust.

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Wrapping Up

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