Oura simply secured over $900 million in new funding, pushing its valuation to an enormous $11 billion.
The brand new money will gasoline AI-driven innovation, broaden Oura’s international presence, and strengthen its rising well being platform.
Oura has offered 5.5 million rings, with greater than half shipped within the final yr, and is on tempo to prime $1 billion in income by 2025 after doubling gross sales in 2024.
Oura introduced immediately that it has secured over $900 million in a brand new funding spherical, catapulting its valuation to a hefty $11 billion.
That’s an enormous leap for a model that started off a decade in the past attempting to make sleep monitoring cool. The cash will assist Oura double down on AI-driven innovation, broaden its well being platform, and get its sensible rings into extra arms around the globe.
CEO Tom Hale says the brand new funding proves how far the corporate’s imaginative and prescient of “proactive well being” has come. In his phrases, it’s not nearly monitoring sleep or coronary heart charge anymore — it’s about serving to folks perceive their our bodies, make smarter way of life decisions, and join knowledge with healthcare suppliers.
Oura’s momentum undoubtedly backs up that imaginative and prescient. The corporate not too long ago crossed 5.5 million rings offered, with greater than half of these shipped simply prior to now yr. It doubled its income in 2024 to over $500 million, and is on observe to prime $1 billion in 2025.
Management shuffle
(Picture credit score: Oura)
Alongside the funding information, Oura is shaking up its management. Longtime board member David Shuman is stepping in as chair of the board, taking up from Eurie Kim, who’s held the place since 2019.
The board can be increasing to incorporate Wen Hsieh from Matter Enterprise Companions, an engineer and investor with deep {hardware} chops who’s anticipated to assist information Oura’s subsequent part of product innovation.
And sure, the corporate’s nonetheless making strikes on the product entrance. Oura not too long ago rolled out its Oura Ring 4 Ceramic, a extra sturdy tackle its flagship wearable, together with the Charging Case, its first actual {hardware} accent. It additionally added Well being Panels, which let customers schedule lab assessments and think about outcomes immediately within the app.
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These updates observe different software program tweaks targeted on sleep, readiness, and exercise monitoring, underscoring Oura’s shift from health gadget to full-on well being platform.
With gross sales and income climbing quick, Oura is clearly constructing greater than only a piece of knickknack — it’s constructing a well being ecosystem. And with practically a billion in new funding to gasoline enlargement, the corporate’s subsequent problem may be extra about staying forward in a wearables promote it helped redefine.
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I discover that when instructing statistics (and chance) it’s usually useful to simulate knowledge first as a way to get an understanding of the issue. The Monty Corridor downside just lately got here up in a category so I applied a operate to play the sport.
The Monty Corridor downside outcomes from a sport present, Let’s Make a Deal, hosted by Monty Corridor. On this sport, the participant picks considered one of three doorways. Behind one is a automobile, the opposite two are goats. After choosing a door the participant is proven the contents of one of many different two doorways, which as a result of the host is aware of the contents, is a goat. The query to the participant: Do you turn your selection?
Beneath we implement a operate that may simulate a single play of this sport. You may play interactively, or if you happen to specify the choose and change parameters this may be looped as a way to simulate the outcomes.
monty_hall <- operate(choose, change) {
interactive <- FALSE
if(lacking(choose)) {
interactive <- TRUE
cat('Decide your door:')
choose <- LETTERS[menu(c('A', 'B', 'C'))]
} else {
if(!choose %in% LETTERS[1:3]) {
cease('choose have to be both A, B, or C')
}
}
doorways <- c('win', 'lose', 'lose')
doorways <- pattern(doorways) # Shuffle the doorways
names(doorways) <- LETTERS[1:3]
if(doorways[pick] == 'win') {
present <- pattern(names(doorways[!names(doors) %in% pick]), dimension = 1)
} else {
present <- doorways[!names(doors) %in% pick] == 'lose'
present <- names(which(present == TRUE))
}
if(lacking(change)) {
interactive <- TRUE
cat(paste0('Exhibiting door ', present, '. Do you wish to change your selection?'))
change <- menu(c('sure', 'no')) == 1
}
if(change) {
choose <- names(doorways)[!names(doors) %in% c(show, pick)]
}
win <- unname(doorways[pick] == 'win')
if(interactive) {
if(win) {
cat('You win!')
} else {
cat('Sorry, you misplaced.')
}
invisible(win)
} else {
return(win)
}
}
We are able to play a single sport:
Decide your door:
1: A
2: B
3: C
Choice: 2
Exhibiting door A. Do you wish to change your selection?
1: sure
2: no
Choice: 1
You win!
Let’s now simulate 1,000 video games. We’ll use two vectors, mh_switch and mh_no_switch, to retailer the outcomes after switching doorways or not, respectively. For every iteration, the preliminary door choose is randomly chosen.
Infants born prematurely can have language difficulties later in life, however a easy intervention might assist
BSIP SA/Alamy
Enjoying recordings of a mom’s voice to untimely infants might assist their brains mature sooner, in response to the primary randomised-controlled trial of this straightforward intervention. This method might finally enhance language outcomes for infants born too early.
Being born prematurely is related to altered mind buildings, which is linked with language difficulties, typically compromising later communication and educational achievement. The sound of a mom’s voice and her heartbeat can encourage the expansion of pathways related to listening to and language expertise. However it isn’t all the time potential for a mother or father to be with or maintain their child in a neonatal ward.
To search out out if their presence may very well be mimicked by a recording, Katherine Travis at Weill Cornell Medication in New York and her colleagues enrolled 46 untimely infants, born between 24 weeks and 31 weeks of gestation, whereas they had been in neonatal intensive care.
The moms recorded themselves studying extracts from the kids’s e book A Bear Referred to as Paddington. A ten-minute audio clip was then performed to half the infants twice each hour between 10pm and 6am, growing that little one’s publicity to their mom’s voice by a mean of two.7 hours every day, till round their unique due date. The remainder of the infants acquired the identical care, however with out the recordings.
As soon as the infants had reached time period, they got two forms of MRI scan, which confirmed how organised and linked their mind networks had been. The scans revealed that those that heard their mom’s voice at evening had stronger and extra organised connections in and across the left arcuate fasciculus, one of many main areas supporting language processing. It was extra mature, says Travis. “Its construction seems extra like what we might count on to see in an older or extra developmentally superior toddler.”
The scans additionally counsel that this maturation could also be pushed by elevated myelination – the formation of fatty sheaths that insulate nerve fibres and assist alerts journey sooner and extra effectively across the mind. “Myelination is a key facet of wholesome mind growth, particularly in pathways that assist communication and studying,” says Travis.
However was there something uniquely vital concerning the infants listening to their mom, slightly than anybody else’s voice? This research hasn’t answered that, however earlier analysis has proven how infants start to listen to from about 24 weeks of gestation, and steady publicity to their mom’s voice within the womb is assumed to clarify why they like it over different voices after they’re born. “It’s essentially the most acquainted and organic significant voice for an toddler,” says Travis. “As a result of this voice is so well-established even earlier than delivery, it might be particularly participating for the creating mind.”
That stated, variability in speech can also be vital for language growth, she says, so it’s potential that speech from different caregivers might present comparable advantages. The workforce intends to discover this concept in future research.
The intervention is easy and may very well be simply added into the care system. Nonetheless, David Edwards at Evelina London Youngsters’s Hospital warns that the outcomes shouldn’t be overinterpreted. “It’s a really small pattern measurement and I feel some extra management teams are wanted – different sources of speech, different types of auditory stimulation, different types of elevated stimulation,” he says.
Travis and her workforce at the moment are hoping to verify the ends in bigger trials and in infants who’re extra medically fragile. They will even observe the present members to see if the mind variations noticed translate into significant advantages in language and communication expertise as they develop.
To be trustworthy, I don’t know the way I really feel about this.
You might need observed that I finished posting overtly on social media for just a few months again in 2011 in case you adopted me again then. In one in every of my evenings of preventing anti-vaccine misinformation on Twitter, I came across one specific troll who was mocking a feminine doctor over her seems to be. He was doing it to assault her knowledgeable opinion on vaccines. After I engaged him, I ended up kicking a hornet’s nest of types that resulted in my bosses on the Maryland Division of Well being ordering me to chop it out with the social media posting.
The dude mentioned, amongst different issues, that he was a millionaire, making his cash from prescribed drugs. Certainly, he and his spouse (and seemingly others in his private circle) began just a few LLCs that had been engaged within the pharmaceutical business. As a result of I wrote a weblog put up calling him a “douchebag” (which was very immature of me, I do know), he determined to threaten everybody on the well being division with authorized motion. It was “tortuous interference with commerce”. (It’s truly “tortious,” as in a civil improper that might be taken to courtroom.) Sure, he discovered the emails of just about everybody on the well being division and determined to launch that threatening e-mail to me and copied them. Even the Secretary of Well being was wrapped up on this.
This was additionally the time when social media was changing into increasingly of an issue with well being disinformation and misinformation, one thing I had warned my bosses about. So the bosses took me into an workplace, together with some attorneys for the State of Maryland, they usually (once more) had a chat with me.
I write “once more” as a result of I had already been talked to about earlier engagements with anti-vaccine activists. Most notably, I had written a weblog put up about Jenny McCarthy’s “Era Rescue” group and the way they had been serving to a younger girl who allegedly developed a neurological situation after getting her influenza vaccine. (It turned out to be extra sophisticated than that.)
Anyway, the dude claimed to have attorneys on the prepared and that he can be submitting some type of lawsuit promptly in opposition to me and the well being division. As a result of, in his view, the issues I wrote about him had been written with the consent or acknowledgement of the well being division. Nope. I had written all of that like I’m doing now, at house and in the midst of the night time. (Possibly the dearth of sleep led me to name him a douchebag.)
His assaults acquired weirder when members of various science blogs determined to come back to my protection. The entire thing changed into the “Epilate” (referencing Watergate) affair. My mates and colleagues complained that I used to be being silenced. A few of them who know in regards to the legislation warned my bosses that, as a authorities entity, the well being division needed to tread rigorously when silencing me. That complete First Modification factor and whatnot.
Within the feedback part of a few of these blogs, the dude made some alarming feedback, threatening extra lawsuits and sending hyperlinks to graphically violent movies. Then all of us determined to disregard him, and he form of simply went away. I even despatched him a well-crafted e-mail (written on the recommendation of a lawyer) to get him to again off. Lastly, I blocked him on all social media.
For months, I referred to as him my “Lex Luthor” as a result of he was a millionaire (in response to him). He was additionally considerably of an entrepreneur in science. And he appeared to hate me for being me and nothing extra. In the long run, he form of simply light into the background. His bullying led me to name him out on it. Calling him out on it led the bosses to inform me to get off social media. My response to their censorship led me to hunt a means out of the well being division. And that led me into the arms of the doctoral diploma.
In truth, in a touch upon one of many weblog posts written by a pal about this complete factor, I discussed the significance of letting issues go so I may discover a doctoral diploma that may enable me to proceed to struggle the nice struggle. Little did I do know that I might be going to Johns Hopkins College in lower than two years after that complete debacle.
Just a few days in the past, as I wrote a weblog put up about my “origin story” in public well being, I acquired curious and re-visited that incident. I used to be inquisitive about the place “Lex” ended up, and I came upon he handed away. His spouse filed a request with the courtroom to grow to be the executor of his property. There was one thing a few wrongful demise lawsuit having been settled. However one factor within the submitting struck me:
“ln her petition for probate filed on January 25, 2023, petitioner alleged Decedent had little or no belongings other than tangible private results. Decedent died in a car accident and probate was opened in an effort to have a private consultant in place to start a civil motion for wrongful demise…”
Little or no belongings? The dude who claimed to everybody on-line how he had hundreds of thousands and the way he would use these hundreds of thousands to sue everybody?
On the one hand, somebody misplaced their associate. (I feel they’d kids. If that’s the case, somebody misplaced a mum or dad.) That’s all very unhappy. I don’t need to think about a world the place I lose my spouse. (Heck, you don’t need to think about such a world, both.)
However, then again, all my interactions with the dude had been detrimental. From my perspective, he by no means contributed to society in a significant means. You see, when he mentioned he had all these hundreds of thousands, we (I and everybody he interacted with within the on-line science blogs) seemed him up. No charities, although he claimed he needed to do (or was doing) one thing in Africa. Nothing of… substance.
There have been different issues we discovered on-line, however these are neither right here nor there. They’re non-public issues between him and his household.
Panel knowledge, often known as longitudinal knowledge, represents a strong statistical framework that mixes each time sequence and cross-sectional dimensions, enabling researchers to trace the identical topics over a number of time durations. This distinctive knowledge construction has revolutionized empirical analysis throughout quite a few disciplines by offering deeper insights into dynamic modifications and causal relationships that can not be adequately captured by conventional cross-sectional or time sequence knowledge alone.
2. Core Ideas and Definition of Panel Knowledge
2.1 Elementary Traits
Panel knowledge is characterised by its multidimensional construction that mixes time sequence and cross-sectional parts:
– A number of Observations: Monitoring the identical topics (entities, people, corporations, nations) over a number of time durations
– Consistency in Measurement: The identical variables are measured at every time level, guaranteeing comparability and consistency throughout observations
– Longitudinal Dimension: Capturing knowledge at a number of time factors permits researchers to review the dynamics of change and evolutionary patterns
– Twin Variation: Panel knowledge accommodates two sources of variation – throughout entities and throughout time – enabling extra refined evaluation than single-dimension knowledge
The notation for panel knowledge usually makes use of subscripts the place Yit represents the remark for particular person i at time t, with i = 1,…,N (cross-sectional dimension) and t = 1,…,T (time sequence dimension).
2.2 Balanced vs. Unbalanced Panels
– Balanced Panel: Accommodates the identical variety of observations for all teams throughout all time durations
– Unbalanced Panel: Has lacking values at a while observations for some teams, which requires specialised dealing with strategies
2.3 Knowledge Group Codecs
– Lengthy Format: Observations of every variable from all teams throughout all time durations are stacked right into a single column
– Extensive Format: Observations for a single variable from separate teams are saved in separate columns throughout time durations
3. Methodological Approaches to Panel Knowledge Evaluation
3.1 Modeling Heterogeneity
The first benefit of panel knowledge lies in its skill to account for heterogeneity throughout particular person items—a essential function that distinguishes it from cross-sectional or time sequence knowledge alone:
– Homogeneous Fashions: Assume that mannequin parameters are frequent throughout all people (e.g., pooled OLS)
– Heterogeneous Fashions: Permit parameters to differ throughout people, together with mounted results and random results fashions
The mounted results mannequin captures individual-specific results which can be correlated with noticed traits, utilizing the formulation: Yit = αi + βXit + εit, the place αi represents entity-specific intercepts. This method is helpful when analyzing variables that change inside entities over time.
The random results mannequin assumes that individual-specific results are uncorrelated with noticed variables, represented as: Yit = βXit + δZi + εit, the place Zi represents unobserved traits. This method is extra acceptable when analyzing each between and within-individual variation.
3.2 Superior Modeling Strategies
– One-Approach Fastened Results: Controls for unobserved heterogeneity that varies throughout entities however is fixed over time
– One-Approach Random Results: Treats individual-specific results as random variables following a likelihood distribution
– Two-Approach Results Fashions: Incorporates each individual-specific and time-specific results to account for heterogeneity throughout each dimensions
– Dynamic Panel Knowledge Fashions: Contains lagged dependent variables to deal with autocorrelation points (e.g., Arellano-Bond estimators)
4. Benefits and Purposes of Panel Knowledge
4.1 Key Benefits
– Wealthy Info Content material: By monitoring the identical topics over time, panel knowledge supplies detailed insights into modifications and traits not attainable with cross-sectional knowledge alone
– Causal Inference Enhancement: The longitudinal nature facilitates stronger causal conclusions by permitting researchers to watch how modifications in impartial variables have an effect on dependent variables over time
– Management for Unobserved Variables: Panel knowledge strategies can management for time-invariant traits that may in any other case confound outcomes, lowering the chance of omitted variable bias
– Dynamic Evaluation Functionality: Researchers can analyze how and why modifications happen over time, offering a dynamic perspective on financial, social, and well being phenomena
– Effectivity in Estimation: Panel knowledge usually accommodates extra variability and fewer collinearity amongst variables, resulting in extra environment friendly econometric estimates.
4.2 Sensible Purposes
– Economics: Learning earnings dynamics, labor market conduct, and financial development patterns
– Public Well being: Analyzing illness development, healthcare utilization, and well being outcomes over time
– Social Sciences: Inspecting social mobility, instructional attainment, and household dynamics
– Finance: Monitoring agency efficiency, inventory costs, and market volatility throughout a number of entities.
Desk: Outstanding Panel Datasets and Their Traits
Dataset Title
Scope
Key Variables
Pattern Measurement
Panel Research of Revenue Dynamics (PSID)
US households since 1968
Revenue, wealth, Employment, and well being
Over 10,000 households
British Family Panel Survey (BHPS)
UK households since 1991
Family earnings, employment, and training
Roughly 5,500 households
German Socio-Financial Panel (GSOEP)
German inhabitants since 1984
Demographics, earnings, life satisfaction
Round 30,000 people
Nationwide Longitudinal Surveys (NLS)
US cohorts
Employment, training, coaching, earnings
Varies by cohort
5. Challenges and Limitations in Panel Knowledge Evaluation
Regardless of its quite a few benefits, panel knowledge evaluation presents a number of methodological challenges that researchers should tackle:
5.1 Knowledge Assortment and Administration Points
– Attrition Issues: Topics could drop out of the examine over time, resulting in incomplete knowledge and potential choice bias
– Larger Prices: Gathering knowledge over a number of time durations is often dearer than cross-sectional knowledge assortment
– Knowledge Complexity: Managing and sustaining panel datasets requires refined knowledge administration practices on account of their measurement and complexity
5.2 Analytical Challenges
– Complexity in Evaluation: Panel knowledge typically requires specialised statistical strategies which will current a studying barrier for researchers
– Stationarity Issues: Macroeconomic sequence with longer time frames could require cautious testing for unit roots and stationarity
– Mannequin Specification Points: Selecting between mounted results, random results, and different modeling approaches requires cautious theoretical consideration
6. Conclusion and Future Instructions
Panel knowledge evaluation represents a strong methodological framework that has remodeled empirical analysis throughout quite a few disciplines. There should be a constant emphasis on the distinctive benefits of panel knowledge for analyzing dynamic processes and controlling for unobserved heterogeneity, whereas additionally acknowledging the methodological challenges that require refined analytical approaches.
The way forward for panel knowledge evaluation will probably contain continued growth of extra refined modeling strategies to deal with rising analysis questions, notably in areas involving large-scale datasets with advanced hierarchical constructions. Advances in computational energy and statistical software program have made panel knowledge evaluation extra accessible to researchers throughout numerous fields, promising continued innovation and software in years to return.
Researchers should fastidiously contemplate analysis questions, knowledge availability, and methodological assumptions when deciding on between different modeling frameworks. The selection between mounted results, random results, and different modeling approaches ought to be guided by theoretical issues and empirical assessments to make sure acceptable specification and legitimate inference.
Common expressions are on of probably the most highly effective instruments in a developer’s toolkit. However let’s be sincere, regex form of sucks to jot down. Not solely is it onerous to jot down, but it surely’s additionally onerous to learn and debug too. So how can we make it simpler to make use of?
In its conventional kind, regex defines highly effective string patterns in a really compact assertion. One trade-off we will make is to make use of a extra verbose syntax that’s simpler to learn and write. That is the aim of a bundle like regexpbuilderjs.
The regexpbuilderjs bundle is definitely a port of the favored PHP bundle, regexpbuilderphp. The regexpbuilderphp bundle itself is a port of an outdated JS bundle, regexpbuilder, which now appears to be gone. This new bundle is supposed to proceed the work of the unique regexpbuilder bundle.
All credit score goes to Andrew Jones for creating the unique JS model and Max Girkens for the PHP port.
Set up
To put in the bundle, you should use npm:
$ npm set up regexpbuilderjs
Utilization
This is a easy instance of how you should use the bundle:
Now let’s break this down a bit. The RegExpBuilder class is the principle class that you will be utilizing to construct your common expressions. You can begin by creating a brand new occasion of this class and chain strategies collectively to create your regex:
startOfLine(): This methodology provides the ^ character to the regex, which matches the beginning of a line.
precisely(1): This methodology provides the {1} quantifier to the regex, which matches precisely one prevalence of a given character or group.
of('S'): This methodology provides the S character to the regex.
getRegExp(): This methodology returns the ultimate RegExp object that you should use to match strings.
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With this, you possibly can match strings like “Scott”, “Soccer”, or “S418401”.
That is nice and all, however that is in all probability a regex string you could possibly provide you with by yourself and never wrestle an excessive amount of to learn. So now let’s have a look at a extra complicated instance:
This regex is supposed to match filenames, which can appear to be:
2020_10_hund.jpg
2030_11_katze.png
4000_99_maus.gif
Some fascinating components of this regex is that we will specify sort of strings (i.e. digits()), min and max occurrences of a personality or group (i.e. min(3).max(10)), and an inventory of doable values (i.e. anyOf(['png', 'jpg', 'gif'])).
For a full listing of strategies you should use to construct your regex, you possibly can take a look at the documentation.
That is only a small style of what you are able to do with regexpbuilderjs. The bundle may be very highly effective and might help you construct complicated common expressions in a extra readable and maintainable manner.
Conclusion
Feedback, questions, and ideas are all the time welcome! In case you have any suggestions on how this might work higher, be at liberty to attain out on X. Within the meantime, you possibly can take a look at the repo on GitHub and provides it a star when you’re at it.
Final week, Cisco launched the 51.2T Cisco 8223 router P200 deep-buffer routing silicon, purpose-built for enabling AI clusters with a whole lot of hundreds of GPUs to scale-across a number of information facilities. Whereas scale-across is the brand new frontier for connecting the most important AI coaching workloads, scale-up stays the vital enabler for ultra-high bandwidth communication between AI compute nodes.
Cisco is proud to proceed our efforts to speed up scale-up connectivity as an preliminary member of the Open Compute Venture’s (OCP) Ethernet for Scale-Up Networking (ESUN) collaboration. The ESUN collaboration, which launched in the present day on the OCP International Summit 2025, marks an vital step ahead in advancing Ethernet expertise to fulfill the distinctive calls for of scale-up networking.
AI workloads are re-shaping fashionable information middle architectures, and networking options should evolve to fulfill the rising calls for. ESUN brings collectively AI infrastructure operators and distributors to align on open requirements, incorporate greatest practices, and speed up innovation in Ethernet options for scale-up networking. ESUN will focus solely on open, standards-based Ethernet switching and framing for scale-up networking—excluding host-side stacks, non-Ethernet protocols, application-layer options, and proprietary applied sciences.
Cisco is Dedicated to Open, Interoperable AI Networking
Cisco’s participation in ESUN displays our dedication to open, interoperable, and high-performance AI networking at scale. We consider Ethernet is the inspiration for scale-up networks, and that open collaboration is one of the best path to speed up adoption. Cisco will proceed to play a task in a spread of trade requirements our bodies which can be working in direction of this objective. With ESUN, we stay up for furthering our partnerships and trade management to drive open innovation.
Cisco’s preliminary priorities for the collaboration embody:
Optimizing open trade requirements for Ethernet-based scale-up options;
Selling interoperability of XPU networking interfaces and Silicon One-based Ethernet switches;
And defining environment friendly L2/L3 headers for switching, error restoration and enabling lossless, low latency scale-up interconnectivity.
By collaborating with different ecosystem companions throughout {hardware} and software program, Cisco and ESUN purpose to advance Ethernet-based scale-up networking throughout the trade for fast adoption. We stay up for working with the ESUN OCP membership to form the way forward for scale-up networking!
Jefferson Metropolis Medical Group, one of many largest multispecialty healthcare supplier organizations in mid-Missouri, is utilizing AI to handle conferences, streamline medical documentation, and optimize supplier workflows. One space the place the physician-owned and independently operated healthcare group is treading rigorously: utilizing AI in its contact heart.
“The factor that we take into consideration in healthcare is compassion,” stated Aaron Hendrickson, CIO of JCMG, which incorporates 125 medical healthcare professionals and 600 staff, and serves over 70,000 sufferers. Certainly, the human contact is central to JCMG’s mission to supply patient-centered care, and its employees has “many differing opinions” about how AI is used.
“If you begin going absolutely digital and you do not have folks [in your contact center], you’ll be able to run into a problem there the place sufferers say, ‘Oh, I name into JCMG and I by no means speak to anybody,'” Hendrickson stated.
Balancing AI and Human Interplay
Whereas AI is not presently deployed in JCMG’s contact heart, Hendrickson stated he sees future alternatives for utilizing the expertise to help each the assistance desk and stay brokers with name dealing with and different operations. However “there must be a line within the sand there someplace,” he added, in order that sufferers can nonetheless attain a stay particular person to debate their healthcare wants.
Hendrickson caught up with InformationWeek at Cisco’s latest WebexOne occasion in San Diego, the place he talked about how JCMG is utilizing AI and Cisco applied sciences, together with Webex and Cisco telephones, as a part of its digital transformation.
He stated he believes the “No. 1 use case” for AI on the group will in the end be its integration into the system’s unified communications (UC) platform. However the timing of when JCMG makes use of AI for each part in its UC suite can be as much as the group’s healthcare professionals, who play a central position in deciding the place to spend money on AI and different applied sciences that help the healthcare group’s employees.
“We now have healthcare professionals that say we have to use AI for affected person engagement — so, for instance, utilizing AI for speaking lab outcomes again to a affected person so the supplier or clinician does not should,” he stated. “There’s a whole lot of completely different use instances on the market.”
Strict Protocol for Getting AI Purchase-In
JCMG follows a structured course of for deploying any new expertise to help its physicians. Hendrickson’s IT group works intently with an IT committee that features 5 healthcare practitioners from differing specialties. This IT committee opinions demos of recent applied sciences and offers suggestions to the IT group. After the evaluation and approval of a brand new expertise, JCMG’s healthcare practitioners can nonetheless select whether or not to decide in or out of utilizing instruments.
Some crucial enterprise applied sciences, corresponding to cybersecurity options, are deployed extensively throughout the group, whereas some productiveness instruments, for instance, are elective for physicians to make use of. Hendrickson defined that some elective applied sciences, like ambient listening, are billed again to the suppliers.
Ambient listening is a device that leverages AI to hurry up the method of submitting affected person charts. Physicians document their conversations with sufferers, and the ambient listening expertise then connects to a third-party AI function to create a transcript of the dialog.
Whereas some medical doctors have chosen to decide out of utilizing the expertise, the case for ambient listening was comparatively clear-cut for a lot of of JCMG’s physicians : “In the event you’re documenting in actual time, then your work/life steadiness is there as a result of the doctor, on the finish of the day, is not having to take a seat down and sort out a bunch of notes,” Hendrickson stated. “They wrap up their day, spend time with their household, they usually’re pleased.”
The adoption follows broader business tendencies. In line with a survey by athenahealth, 68% of physicians elevated their use of AI for medical documentation this 12 months, with 48% of physicians citing “improved medical documentation” as the largest potential good thing about utilizing AI in healthcare. Nevertheless, 61% of physicians reported issues that AI may scale back human interplay with sufferers. These findings stemmed from athenahealth’s 2025 Doctor Sentiment Survey, which surveyed 1,001 physicians nationwide.
AI for Managing Conferences
Along with medical documentation, JCMG makes use of AI to spice up assembly productiveness. The group presently makes use of the Cisco AI Assistant options for Webex-based conferences, which give AI-generated assembly summaries, motion gadgets, search choices, and extra.
Hendrickson defined that the Webex Suite additionally works effectively in conditions the place the JCMG group is having a gathering with exterior events utilizing applied sciences corresponding to Zoom, Microsoft Groups, or Google Meet. (Cisco stated Zoom on Cisco units can be usually obtainable later this 12 months.)
Bob Laliberte, principal analyst specializing in networking and observability at The Dice Analysis, weighing in on the Cisco occasion, famous that the corporate’s give attention to interoperability is a giant a part of its technique.
“Cisco underscored that openness is not a speaking level however a product precept. Clients ought to have the ability to use third-party purposes, run them wherever crucial (cloud, on-premises, or sovereign), and nonetheless entry new AI options,” Laliberte stated.
As to when JCMG will use AI in all areas of its UC, that is as much as the group’s physicians, Hendrickson stated.
“Realizing once we’re prepared is kind of when our physicians are able to make that step,” he stated. “We all know we have to do it. We all know it may possibly add a whole lot of worth to our group.”
*Editor’s word: Cisco offered journey and lodging for the Cisco WebexOne occasion in San Diego.
LISBON, Could 28, 2025 | Multilingual open-source initiatives EuroLLM and OpenEuroLLMhave joined forces to safe 3 million GPU hours on Leonardo – one in every of Europe’s strongest supercomputers – to develop a groundbreaking artificial dataset masking 40 European languages.
On the coronary heart of this initiative is a mission to construct strategic autonomy for Europe in AI improvement. By producing high-quality, ethically sourced artificial knowledge, it addresses a long-standing hole in linguistic illustration, specifically for low-resource and minority languages.
André Martins, Chief Scientific Officer at Unbabel and EuroLLM challenge co-lead stated:
“By becoming a member of forces by means of EuroLLM and OpenEuroLLM, we’re bringing collectively the analysis power and open-source ethos wanted to sort out one in every of Europe’s greatest AI challenges: linguistic inclusion at scale. This challenge is about guaranteeing Europe owns its language knowledge, displays its cultural variety, and units its personal requirements in accountable AI improvement.”
The GPU allocation will energy the MultiSynt strategy, a key part of the challenge which seeks to handle one of the vital persistent bottlenecks in multilingual LLM improvement: the dearth of high-quality pre-training knowledge.
“This is a crucial step in securing giant sufficient computing energy to construct the OpenEuroLLM’s household of open LLMs. I’m additionally glad that this has been finished in collaboration with the skilled workforce from the EuroLLM challenge. The objective of this subproject is to discover multilingual artificial knowledge creation and consider their use with a purpose to attain a better frequent objective: constructing high-quality multilingual LLMs for all European languages and past.” – notes Jan Hajic, Charles College, coordinator of the OpenEuroLLM challenge.
Whereas most artificial knowledge technology for giant language fashions up to now has targeted on English, MultiSynt will create the primary complete multilingual artificial dataset designed particularly for pre-training. By leveraging generative fashions to reinforce and diversify present content material, it should assist the broader goals of EuroLLM and OpenEuroLLM: constructing open-source, culturally grounded, and linguistically various AI for Europe.
This system will assist linguistic variety, open entry, and knowledge high quality and aligns with the broader goals of the European Fee’s Digital Decade and the AI Act.
The awarded 3 million hours replicate a robust endorsement of the challenge’s technical advantage and strategic worth.
The initiative will likely be executed by means of phased releases of the artificial dataset.
****ENDS****
About EuroLLM The EuroLLM challenge contains Unbabel, Instituto Superior Técnico, the College of Edinburgh, Instituto de Telecomunicações, Université Paris-Saclay, Aveni, Sorbonne College, Naver Labs, and the College of Amsterdam. Collectively they created EuroLLM-9B, a multilingual AI mannequin supporting all 24 official EU languages. Developed with assist from Horizon Europe, the European Analysis Council, and EuroHPC, this open-source LLM goals to reinforce Europe’s digital sovereignty and foster AI innovation.
About OpenEuroLLM
Bringing collectively 20 of Europe’s main AI firms, analysis establishments and EuroHPC centres, the OpenEuroLLM challenge is creating a brand new technology of open supply giant language fashions for European languages. Co-funded by the European Union’s Digital Europe Programme, the challenge is laying the foundations for AI infrastructure that may improve competitiveness, resilience, and digital sovereignty.
About EuroHPC The European Excessive Efficiency Computing Joint Enterprise (EuroHPC JU) is a joint initiative between the EU, European international locations, and personal companions to develop a world-class supercomputing ecosystem in Europe.
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The makers of GrapheneOS have confirmed they’re partnering with a significant Android OEM to carry the privacy-focused Android fork to Snapdragon-powered smartphones.
The mission has confirmed it’s bringing assist for Pixel 10, however is not sure whether or not assist will proceed for Pixel 11.
GrapheneOS didn’t reveal the title of its new accomplice, however stated that these gadgets shall be priced in the identical vary as Pixels.
GrapheneOS, the favored privacy-focused Android fork identified for its unique assist of Google Pixel telephones, is about to forged a a lot wider internet. The mission has confirmed it’s working with a significant Android smartphone producer to carry its safe working system to future flagship telephones, as first noticed by PiunikaWeb.
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Till now, GrapheneOS has been accessible solely on Pixel telephones, making Google’s flagships standard amongst privateness lovers, journalists, and, as a Spanish police report advised earlier this 12 months, even organized crime teams in Catalonia. However that Pixel exclusivity might finish by 2026 or 2027.
GrapheneOS revealed in a Reddit thread that it has been working with a “main Android OEM” since June 2025 to allow official assist for “future variations of their present fashions.” These gadgets will reportedly use flagship Snapdragon chips, a notable shift from Google’s in-house Tensor processors.
The mission defined that solely Pixels have met its strict safety and replace necessities to this point. Nonetheless, the brand new partnership means that one other OEM is lastly matching these requirements. GrapheneOS additionally hinted that the mysterious accomplice’s gadgets shall be “priced equally to Pixels” and accessible globally as a part of the model’s commonplace lineup.
Sadly, GrapheneOS didn’t reveal the title of its new accomplice. Nonetheless, people are speculating it may very well be Nothing, given it’s one of many few OEMs that enable bootloader unlocking, which is a prerequisite for putting in GrapheneOS. That stated, Nothing doesn’t actually qualify as a “main Android OEM” proper now.
The announcement comes after the mission publicly criticized Google’s prolonged safety patch timelines. The platform argued that Google leaves vulnerabilities uncovered for months. Working with a model that grants earlier patch entry might enable GrapheneOS to take care of its excessive safety requirements unbiased of Google.
For Pixel homeowners, nothing adjustments, at the least for now. The OS will proceed to assist present gadgets till their end-of-life. GrapheneOS assist can also be coming for Pixel 10, however the mission continues to be contemplating whether or not or to not add assist for Pixel 11.
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