AI Gives More Accurate At-Home Blood Pressure Readings

How AI is Making Home Blood Pressure Monitoring More Trustworthy

According to new research presented at the American Heart Association’s Hypertension Scientific Sessions 2025, an AI voice agent system significantly improved how older adults with high blood pressure report their readings and manage their condition.

It used a conversational AI system to call patients and ask them to report their blood pressure readings, a task that is often a challenge and is typically done by healthcare staff.

The AI, which operated in English and Spanish, could also identify patients needing urgent follow-up care based on their readings or reported symptoms (like chest pain or dizziness), immediately escalating those calls to a nurse.

This approach proved highly effective and efficient:

Experts not involved in the study, like Dr. Eugene Yang, called it a potential "game-changer" for using technology to overcome barriers to care.

The study did have limitations, including the lack of a control group for comparison and its observational, retrospective design.

The system worked by identifying patients with missing or high blood pressure data in their electronic health records.

The AI would then contact them to get a reading, which was logged into their record for clinician review. This process helped close gaps in care and automate referrals for patients with uncontrolled hypertension.

Global AI Agent Competition Intensifies as DeepSeek Prepares Launch

Chinese AI firm DeepSeek is developing a next-generation AI agent, named R2, with plans to launch it by the end of 2025 to compete with major global entities like OpenAI.

According to Bloomberg sources, this new technology represents a significant advancement beyond standard chatbots.

Unlike conventional models that provide simple text responses, this "agentic AI" can independently execute complex, multi-step tasks, such as planning trips or debugging code, while learning from its actions to improve over time, requiring far less human intervention.

This move follows the success of DeepSeek's earlier R1 platform, which was reportedly developed at a much lower cost than its U.S. competitors while matching or exceeding their performance in benchmarks.

The global race for autonomous AI agents is accelerating, with players like OpenAI, Microsoft, Anthropic, and China's Manus AI all working on similar technology. Analysts believe this evolution will transform productivity and business operations worldwide.

For UAE investors and businesses, DeepSeek’s progress offers several key implications:

Although DeepSeek has not made any public statements, the anticipated release of R2 could be a major milestone in AI, with significant consequences for global investment and enterprise technology strategies, particularly in the UAE.

Is Your Business Ready? AI Agents Are About to Change Everything

The business landscape is on the verge of a profound transformation, driven by the rise of AI agents. While earlier discussions highlighted how these autonomous, problem-solving systems will reshape work and redefine jobs, their influence is expected to extend even further, fundamentally altering how organizations function, innovate, and scale.

This shift goes beyond automating tasks or boosting efficiency. AI agents have the potential to unlock entirely new business models and redefine how products and services are delivered.

For current business leaders, this represents both a major opportunity and a significant risk. Organizations that can adapt swiftly and integrate agentic business models will be best positioned to succeed.

So what are AI agents, and how can businesses leverage them effectively?

AI Agents: The Next Wave of Business AI

AI is already reshaping industries from the machine learning that drives companies like Amazon and Google to generative AI tools like ChatGPT that automate knowledge work. AI agents represent the next evolutionary step: they don’t just analyze or generate information, they take action.

For example:

• In marketing, machine learning segments audiences, generative AI creates content, and agentic AI delivers that content, tracks engagement, sends follow-ups, and continuously optimizes campaigns.

• In retail, machine learning predicts demand, generative AI generates orders, and agentic AI autonomously places orders, negotiates with suppliers, and manages inventory.

Despite the hype, often fueled by vendors, the potential of agentic AI is clear: it enables businesses to operate in more autonomous, intelligent, and interconnected ways.

How Agentic AI Will Reshape Business

AI agents will impact organizations on multiple levels. They will streamline operations, reduce manual workloads, and free up employees for higher-value tasks, handling everything from scheduling and reporting to compliance and administrative duties.

But the real breakthrough lies in innovation. Just as machine learning enabled new models of prediction and personalization, agentic AI will allow companies to do what was previously impossible. For instance:

• Financial services could use agents to scan markets, execute trades, and manage portfolios and compliance in real time.

• Healthcare could see agents coordinating patient care, staying updated on medical research, and autonomously managing public health responses.

• Manufacturing agents could oversee end-to-end production, predict bottlenecks, and dynamically adjust workflows.

Across sectors, the goal is the same: empower humans to focus on strategy, creativity, and communication, areas where people still excel.

The Rise of Truly Autonomous Organizations

Agentic AI offers a path beyond automating decisions, toward automating action. These systems can set goals, determine the steps needed to achieve them, interact with external platforms, and drive processes to completion without constant human intervention.

This autonomy comes with risks, however. Establishing where human oversight remains essential and implementing strong safeguards will be critical leadership responsibilities in the years ahead. Those who master the balance between automation and control will be highly valued.

Ultimately, these advances redefine what it means to be an "intelligent enterprise." It’s no longer just about making data-informed decisions; it’s about taking smarter, more impactful actions autonomously.

Businesses that leverage these capabilities will not only know more, they will do more, emerging as leaders in the new agentic era. For forward-thinking leaders, this is an opportunity that can’t be ignored.

To fully harness the potential of agentic AI, organizations need a robust data foundation. This is where solutions like DataManagement.AI come into play, offering intelligent data orchestration, governance, and automation to ensure your AI agents operate with accuracy, security, and scalability.

If you have an enterprise, we have exclusive plans for you as it is a one tool for all solutions with expandable capabilities. 

By integrating advanced data management capabilities, businesses can confidently transition toward truly autonomous and actionable intelligence.

Stay with us. We drop insights, hacks, and tips to keep you ahead. No fluff. Just real ways to sharpen your edge.

What’s next? Break limits. Experiment. See how AI changes the game.

Till next time - keep chasing big ideas.

Thank you for reading