Powering Possibilities In Healthcare With AI And Edge Computing
The healthcare industry generates staggering amounts of data daily, from electronic health records, real-time monitoring devices used in ICU wards, even telemetry data recorded on smart watches. The real challenge is healthcare organizations are drowning in data, but are thirsty for knowledge, and this is where AI and edge computing can make a difference.
By processing data close to where it's generated, edge computing drives real-time performance, provides better access and enhances security, essential in healthcare. Combine this with AI's ability to analyze data at blistering speeds, and you get insights that improve clinical decision-making and operational choices. Predictive analytics, for instance, empower hospitals to anticipate patient surges, optimize staffing schedules, and even ensure that life-saving supplies are available when needed.
Take diagnostic imaging as another example. AI-enhanced imaging tools can identify conditions such as tumors or cardiovascular abnormalities with remarkable accuracy. These tools often provide access to and enhance specialists' capacity to serve in remote settings, delivering life-saving information directly at the point of care.
Personalized medicine is one of the most exciting advancements in healthcare today. By leveraging tools like the Dell AI Factory with NVIDIA, healthcare providers can implement sophisticated AI models to tailor care to the unique needs of each individual.
A patient's genetic profile, combined with their medical history and lifestyle data, allows clinicians to craft treatment plans and predictive diagnostics never before possible. This approach is already transforming oncology care, where genomic analysis guides targeted therapies. Tools within this ecosystem can identify complications before they escalate, paving the way for preemptive care.
And the benefits extend beyond clinical walls. Edge computing makes it possible to bridge care gaps in underserved areas, connecting patients to specialists via digital health solutions and delivering remote care. Picture a rural patient managing their chronic condition with AI-driven devices that continuously monitor their health and alert medical professionals when intervention is needed. With these tools, care becomes inclusive, accessible, and proactive.
A great example of how technology drives healthcare transformation is the Guthrie Clinic. Serving a sprawling region, Guthrie implemented the Dell AI Factory with NVIDIA within its operations to great effect. One remarkable outcome was its success in reducing patient falls by 70%.
Using AI-driven computer vision, the clinic tracks patient movement patterns and identifies potential fall risks. When a risk is detected, the system alerts healthcare teams, enabling immediate intervention. This proactive approach ensures patient safety and fosters trust between caregivers and those they serve.
The efficiencies don't stop there. By equipping clinical teams with time-saving tools, the Guthrie Clinic improved discharge speeds, reduced readmissions and created capacity to accept 85% of hospital transfer requests. AI didn't just enhance operations, it improved quality care, making care more accessible to every patient.
Watch the video to learn more about Guthrie Clinic's transformational story.
While patient care is at the heart of healthcare, smooth operations are essential for providers and systems to deliver outcomes. AI and edge computing are key to achieving this balance. From optimizing workflows to forecasting resource needs, these tools allow healthcare systems to function with agility and precision.
For example, predictive models powered by AI anticipate ICU occupancy rates, ensuring vital equipment and staff are ready when needed. Additionally, digital twin technologies simulate emergency scenarios, preparing clinical teams for real-world challenges with confidence.
Dell NativeEdge amplifies these capabilities by simplifying deployment processes. Through intuitive, zero-touch solutions, healthcare organizations can integrate AI without disruption, scaling critical functions as demands evolve. It's technology working seamlessly behind the scenes, enabling caregivers to focus entirely on patients.
The integration of AI and edge computing isn't just solving today's problems, it's redefining the future of healthcare to create a reality where chronic illnesses are anticipated before they develop, operating rooms are enhanced with real-time data, and healthcare reaches patients wherever they are, without barriers.
At the forefront of this transformation, Dell Technologies and NVIDIA are working together to elevate healthcare systems globally. By leveraging tools like edge computing and AI, they're helping organizations create inclusive, resilient systems that prioritize patient outcomes above all else.
The future of healthcare is extraordinary, and it's happening now.
Whether you're exploring ways to improve operational efficiency, enhance diagnostic precision, or personalize care, AI and edge computing hold the solutions you need.
Solutions like the Dell AI Factory with NVIDIA empower healthcare providers to achieve smarter operations, better outcomes, and, ultimately, change lives. Are you ready to be part of this transformation? Download the eBook, Transforming Healthcare and Life Sciences with AI and Edge Computing, to discover actionable strategies and learn how technology can empower your care delivery.
Together, we can drive progress and reimagine what's possible in healthcare.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
2 hours ago
- Yahoo
UnitedHealth Group's (UNH) Healthcare Dominance: A Key Player in the Dogs of the Dow
UnitedHealth Group Incorporated (NYSE:UNH) is included among the 11 Dogs of the Dow Dividend Stocks to Buy Now. A senior healthcare professional giving advice to a patient in a clinic. The stock has dropped over 44% so far this year after reporting weaker-than-expected earnings in the first quarter. The company first reduced its full-year outlook and later chose to withdraw it entirely. Even with the underwhelming Q1 performance, UnitedHealth Group Incorporated (NYSE:UNH) still posted a 9.8% year-over-year increase in revenue, reaching $109.6 billion. It earned a profit of around $6.3 billion during the quarter and maintained a solid financial position, holding close to $34.3 billion in cash and cash equivalents, along with a debt level that remains manageable. The company has added 780,000 new members so far this year. Meanwhile, Optum Health still expects to provide value-based care to an additional 650,000 patients in 2025. In addition, UnitedHealth Group Incorporated (NYSE:UNH) generated $5.5 billion in operating cash flow during the quarter and returned $5 billion to investors through dividends and share repurchases. The company has been rewarding shareholders with growing dividends since 2011 and currently offers a quarterly dividend of $2.21 per share. The stock supports a dividend yield of 3.15%, as of July 26. While we acknowledge the potential of UNH as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
2 hours ago
- Yahoo
Cisco Systems (CSCO): A Steady Performer Among the Dogs of the Dow
Cisco Systems, Inc. (NASDAQ:CSCO) is included among the 11 Dogs of the Dow Dividend Stocks to Buy Now. A technician in a laboratory, overseeing cutting edge cybersecurity solutions. Cisco Systems, Inc. (NASDAQ:CSCO) is widely recognized for its networking, cybersecurity, software, and cloud computing solutions. It produces routers and switches that use the Internet Protocol to move data across networks. Artificial intelligence has become a major growth area for Cisco Systems, Inc. (NASDAQ:CSCO), with AI-related revenue exceeding $1 billion in 2024. Cisco aims to at least double that figure in 2025. A key factor in this expansion has been its $28 billion acquisition of Splunk, completed last year, which is intended to strengthen customers' capabilities in networking, security, and AI. Cisco Systems, Inc. (NASDAQ:CSCO) reported strong earnings in its fiscal Q3 2025. The company's revenue came in at $14.15 billion, which showed an 11.4% growth from the same period last year. The revenue also beat analysts' estimates by $91.4 million. Orders for AI infrastructure from webscale clients surpassed $600 million, allowing the company to hit its $1 billion goal a quarter ahead of schedule. This strong performance in AI is driven by the strength of its secure networking solutions, strong global alliances, and the value it consistently delivers to customers. Cisco Systems, Inc. (NASDAQ:CSCO) generated an operating cash flow of $4.1 billion during the quarter, and it returned $1.6 billion to investors through dividends. In addition, it has raised its payouts for 18 consecutive years. Currently, it offers a quarterly dividend of $0.41 per share and has a dividend yield of 2.39%, as of July 26. While we acknowledge the potential of CSCO as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
2 hours ago
- Forbes
Founded On Technology Innovation, AT&T Is Charting A Data And AI Future
AT&T How does an iconic American company that has been synonymous with technology innovation for nearly 150 years prepare to grow and thrive in an AI future? This is the question that I posed to Andy Markus, Chief Data and AI Officer at AT&T, a company that was essentially founded in 1876 when Alexander Graham Bell invented the telephone. For nearly a century and a half, AT&T has been a pioneer in technology innovation. Markus joined AT&T in 2020, having held technology leadership and transformation positions for leading media companies including WarnerMedia, Turner Broadcasting, and Time. In his role as Chief Data and AI Officer at AT&T, Markus supports the consumer and business lines of the $122b (as of the end of 2024) company, as well as back-office functions ranging from finance to legal to HR. 'We're responsible for developing and executing the data and AI strategy and governance for the firm' notes Markus. He adds, 'The big hat we wear is execution. We work across the firm horizontally to help all parts of the business. We solve their challenges with a data and AI first mindset.' The scope of responsibility of the Chief Data and AI Office is magnified by the size and the scale of data that AT&T manages. AT&T has a long history working with AI, dating back to pioneering work at Bells Labs, the former R&D arm, which was renowned for its groundbreaking innovations, including the invention of the transistor in 1947. Bell Labs revolutionized modern electronics and computing and played a pivotal role in the early development of AI. 'AT&T has a very rich history with AI. I like to use the line from Hamilton – 'we were in the room where it happened'. AT&T was right there when the term artificial intelligence was created' comments Markus. He adds, 'We have a rich history of technology innovation at AT&T. We recently ranked sixth in U.S. companies with AI patents and continue to turn out a considerable volume of intellectual property resulting from generative AI and agentic AI.' As has been the case during its long history, AT&T continues to pioneer technology innovation, now using AI. 'AI is a core part of the AT&T mandate and how AT&T runs its businesses' says Markus. 'We still have the spirit of Bell Labs.' He adds, 'It's remarkable that we're one degree removed from somebody that worked with John Tukey, the legendary Bell Labs mathematician and statistician that I studied in school.' The emergence of generative AI and agentic AI in the past few years has been accelerating transformation within AT&T. Markus notes, 'We recognized that generative AI would bring AI to everyone. Instead of having AI being run exclusively by technical people, we are creating a general-purpose AI that can apply to areas where we have never used AI before.' AT&T currently runs over 600 traditional Machine Learning and AI models in production across the firm, cutting across many lines of business. Markus explains, 'Where we were leveraging traditional or classical AI to run the business, now we're integrating every part of the firm and reimagining the things that we can do using generative AI.' Generative AI is also being employed by AT&T to help manage its data. 'Data functionality using generative AI is great for complex analytics. We are working with hard, complex, messy data sets' notes Markus. He continues, 'When we apply generative AI technology to a curated data product, the accuracy skyrockets. Generative AI technology enables us to do things that are at human level or actually exceed what can be done at a human level.' Markus adds, 'We are building on a foundation of being great with data, great with classical or traditional AI, and now great with generative AI and agentic AI. Each element builds off each other and complements each other'. He notes that AT&T has created over 2,000 generative AI use cases that have been submitted for internal reviews. Delivering business value from AI is central to the business mandate of AT&T. 'An AI first mindset starts with understanding the business needs' notes Markus. He continues, 'Once we understand what these needs are, we work to automate processes and make the lift lighter for the development community so that they can do their work faster.' Markus adds, 'Our partners in the business are truly the experts at creating a business case. Whatever you do, you've got to integrate with existing systems. We help evaluate the cost of the solution and then we work to help understand the benefit and that's where we really work hand-in-hand our business partners.' The AI use cases that AT&T is developing cut across the firm. Markus notes that the very first thing that AT&T did was to bring together the risk organizations of the company -- legal, compliance, privacy and security – to develop a unified approach to govern how the company should invest and execute in AI capabilities across the organization. He continues, 'We partnered with the business units to create a transformation program for this new era of AI'. AT&T has established a transformation office which reviews each use case for its business value to the organization. Markus adds, 'We prioritize our use cases and work on those that will have the most value for the company, working closely with the CFO office.' The result of these efforts is that AI is driving business value for AT&T across business lines. In one example, AT&T has developed a complex fraud detection system. Markus explains, 'Your phone is a very expensive piece of equipment. The bad guys want to find a way to get your information that's on it.' He continues, 'To address this, we created a very complex fraud detection system with well over 30 models, both generative AI models and traditional AI models, that protect customers from fraud.' AT&T is also using AI to manage robocalls. Markus comments, 'When I started with AT&T, one of the top complaints from our customers were robocalls. At this point, by using AI we're detecting these earlier and blocking them.' AT&T is also applying AI to deliver business value through its Ask AT&T platform. Markus explains, 'One of the areas where we've been successful in using generative AI to take human language and turn it into computer language and do complex analytics is with our Ask AT&T platform.' He elaborates, 'At the very beginning of generative AI, we saw that generative AI was going to touch all of our employees, so we created a formal AI policy.' Over 100 thousand employees and contractors now have access to the Ask AT&T platform. Markus adds, 'We are leading the pack in using AI to drive value. We do it in a very measured way across the firm.' Another example is dispatch optimization. AT&T operates one of the largest vehicle fleets in the United States, comprising over 50,000 vehicles and over 700 million possible routes on a given day. The company has developed an AI application that optimizes the dispatch process. Markus notes, 'The benefit of the application is good for society because by being very efficient, we're saving carbon emissions. We now have over 100 million pounds of emissions saved since we started this program by reducing the miles driven. We don't always need to send technicians to homes when people call in. We've used AI to become much smarter on how we solve issues proactively, which saves a technician dispatch in many situations.' Managing data as a business asset is core to the success of the AI transformation taking place at AT&T. 'There is an enormous amount of data that flows over the AT&T network every day – close to 900 petabytes of data that come over the network every day', says Markus. He explains, 'Our data must be safe and secure. We have this concept of a data product, which in our view is a curated set of raw data.' Markus adds, 'We need to do the right thing with how we manage our customer data to fully adhere to regulations and to drive business value for the company and our customers.' For most organizations, and particularly century-old companies, transformation and change is seldom an easy proposition. The greatest challenges that these firms face almost always relate to the business culture and readiness of an organization to adapt. Markus notes, 'Culture is one of the driving factors for us. It is where many organizations get stuck.' He elaborates, 'We are a 150-year-old company, so inevitably there will be some parts of the business that ask whether they can really benefit from leveraging AI.' To address some of the cultural challenges, AT&T has established AI training programs so that employees can start to understand how AI can augment their daily activities. AT&T now has employee education programs where 50,000 employees have completed AI training, and new trainings are continually being added. Markus notes that support for AI starts at the top, explaining, 'We have strong top-down support, beginning with our CEO, John Stankey. He has been a great leader, a coach and a person that evangelizes that AI is a technology we are going to embrace as a company.' While leadership from the top of the organization is essential, Markus notes that support at all levels of the company is required to ensure successful adoption of AI. AT&T is preparing for an AI future. This entails staying abreast of the latest AI capabilities, including agentic AI. Markus explains, 'Agentic AI is connecting together a workflow that actually could be deterministic, to break down bigger problems into smaller problems that can be solved more accurately, while having the ability to take action as part of the workflow.' He adds, 'People often try to make agentic AI sound like more than it is, but it really is breaking down the big problem and smaller problems so you can solve these more accurately with the ability to take action based off of your decisions.' Looking to the future of AI at AT&T, Markus observes, 'There's a lot of hype around whether there will be value coming from our AI investments. I think everyone's seeing that the technologies we're working with such as generative AI and the evolution of this into agentic AI are going to change things.' He comments, 'As we talk about the benefit of generative AI, for every dollar we invested, in that same year, we returned 2X ROI. This was free cash flow impacting ROI from multiple year business cases. A 2X return is going to grow to a run rate that contributes to AT&T's overall run-rate savings target of $3 billion by the end of 2027.' Markus continues, 'What's different this time is that we don't see the wall as we have with other technology evolutions, where you had a general idea of where the where the end was going to be while you're in the middle of it. In the case of AI, I don't think we see this wall yet. The wall keeps moving, if there even is a wall. That is something that I think is super exciting to be a part of.' He concludes, 'AT&T is an exciting place to work because the scale and complexity of our data is extremely unique. We see adoption across the board in using and reimagining how we do our work with an AI and data-driven mindset as a way to get to the next stage. We have business teams that you would never expect to be learning how to use AI that are doing so. They are chomping at the bit, knocking on our door to ask how they can be using AI to deliver better products and services to our customers. That's a great place to be!'
