ayasdi
pramod iyengar is ayasdi’s chief financial officer, overseeing ayasdi’s financial, sales operations, and administrative functions .
the software applications of ayasdi are mainly distributed in two sectors, healthcare (ayasdi cure) and financial services .
ayasdi' s ceo, robert griffin, currently has an approval rating of 63% . ayasdi' s primary competitors are
bobsguide caught up with gurjeet singh, ceo of ayasdi, to discuss how ai will go in 2018. ayasdi offe ...
2 ayasdi product manager jobs, including salaries, reviews, and other job information posted anonymously by ayasdi product manager employees. find ayasdi product manager jobs on glassdoor. get hired. love your job .
owler has collected 18 screenshots of ayasdi' s website since oct 2012. the latest ayasdi website design screenshot was captured in jun 2018 .
sangeeta chakraborty is the chief customer officer at ayasdi where she is focused on delivering the highest quality personalized service experience for each of ayasdi’s customers .
ayasdi currently has 10, 470 followers on twitter. as of july 2013 ayasdi had 709 followers. that' s a 1376 percent increase in 4 years
integrating the app with ayasdi internal services and establishing a single sign on connection with their existing workbench platform was especially challenging, due to ayasdi’s unique infrastructure .
bigml is the top competitor of ayasdi. bigml is a private company that was founded in corvallis, oregon in 2011. like ayasdi, bigml also operates in the systems software sector. bigml has 68 more employees vs. ayasdi .
since ayasdi was founded in 2008, it has participated in 5 rounds of funding. in total ayasdi has raised $ 97. 8m. ayasdi' s last funding round was on mar 2015 for a total of $ 55. 0m
kleiner perkins caufield & byers, centerview capital, and drapernexus invest in ayasdi .
ayasdi is a developer and provider of artificial intelligence business applications to corporations, governments and scientific research institutions. ayasdi is a private company. robert griffin is the ceo of ayasdi and has an approval rating of 63 from owler members. ayasdi has received a total of $ 97. 8m in funding. ayasdi' s top competitor is bigml, led by francisco j. martin, who is their co - founder & ceo. ayasdi has 1, 629 followers on owler .
ayasdi on twitter :
practical applications of # ai start withbapplications. urltoken
glassdoor gives you an inside look at what it' s like to work at ayasdi, including salaries, reviews, office photos, and more. this is the ayasdi company profile. all content is posted anonymously by employees working at ayasdi .
ayasdi currently has 1, 509 fans on facebook. as of june 2015 ayasdi had 1, 154 fans. that' s a 30 percent increase in 3 years
ayasdi announces key additions to healthcare staff - with a growth in the healthcare vertical, ayasdi is planning to incorporate new additions to support the company. [ 5 ]
intermountain to deploy clinical variation management software from ayasdi - utah based company, intermountain, is planning to use the clinical variation management software from ayasdi. [ 6 ]
glassdoor has 2 interview reports and interview questions from people who interviewed for product manager jobs at ayasdi. interview reviews are posted anonymously by ayasdi interview candidates and employees .
ivp, ge ventures, citi ventures invest $ 30. 6m in ayasdi
palantir is seen as one of ayasdi' s biggest rivals. palantir was founded in palo alto, california } in 2004. like ayasdi, palantir also competes in the data processing services space. compared to ayasdi, palantir generates $ 287. 8m more revenue .
versive is perceived as one of ayasdi' s biggest rivals. versive was founded in 2012, and is headquartered in seattle, washington. like ayasdi, versive also operates in the systems software space. versive generates $ 1. 9m more revenue vs. ayasdi .
ayasdi’s clinical variation management software can accelerate the process of gaining insights from health data because it draws on clinical data directly from a provider organization’s integrated systems of record, ayasdi said .
understanding ayasdi: what we do, how we do it, why we do it .
ayasdi contact: carol kimura vp, corporate marketing 408 833 4379 carol. kimura @ urltoken
griffin said he was hoping to be asked to join ayasdi while he was advising singh .
the three founders of ayasdi, from left, gurjeet singh, gunnar carlsson and harlan sexton .
ayasdi envision makes it possible for developers and subject matter experts within an organization to ...
from healthcare to financial services, ayasdi' s machine intelligent applications are transforming complexity into profitability. what hides in our dark data? value. the key is unlocking it. ucsf used ayasdi sof
both ayasdi and intermountain healthcare are exhibiting this week at himss16, ayasdi in kiosks 14042 and 14084 in the clinical & business intelligence knowledge center, and intermountain in booth 1632 in the main exhibit hall .
it would be fair to characterize ayasdi as a pioneer in enterprise ai. our company is an early thought
ayasdi, a leader in machine intelligence software and a pioneer in enterprise - class intelligent appli ...
i applied through a recruiter. i interviewed at ayasdi (menlo park, ca) in march 2017 .
ayasdi is a developer and provider of artificial intelligence business applications to corporations, governments and scientific research institutions .
if you are interested in working at ayasdi, please email jobs @ urltoken, or visit our careers page .
we would be happy to answer any questions you might have about ayasdi, our technology or how we can help you adopt machine intelligence. simply complete the form below and we will connect you with the right person at ayasdi .
bayes impact uses ayasdi' s advanced analytics to discover new breakthroughs in parkinson' s disease - with its advanced analytics software, ayasdi cure, the company is set to accurately stratify patients and advance precision medicine. [ 10 ]
ayasdi is collaborating with this global technology powerhouse helping them to accelerate insight discovery from their most challenging and complex problems .
they conceptualized computational topology and topological data analysis, which today is a core part of the ayasdi machine intelligence platform .
you’re viewing a free company profile from the pitchbook platform. to explore ayasdi’s full profile, request a free trial .
gurjeet singh, co - founder and executive chairman of ayasdi, spoke to bobsguide about the challenges o ...
ayasdi helps the world' s biggest and most sophisticated organizations discover breakthroughs that change how we all live and work .
2015 - kleiner perkins caufield & byers, centerview capital, and drapernexus invest $ 55 million in ayasdi, inc .
expertise, talent + technology = how great partnerships are constructed. read about how @ navigant and ayasdi are wo… urltoken
ayasdi is working with this global healthcare company and leader in diabetes care to expedite drug discovery and craft precise treatment paths .
ayasdi has employees and is the second highest among it' s top 10 competitors. the top 10 competitors average 52 .
last week, ayasdi hosted its first ever internal hackathon. we are a pretty geeky crew over here and ...
urltoken & ayasdi partner to uncover valuable data insights to tackle critical world health, social issues - the collaboration between the non - profit organisation and ayasdi is set to accelerate development in the field of healthcare and other social challenges. [ 8 ]
“understanding and managing clinical variation remains one of the great challenges facing healthcare today, and we are pleased intermountain recognized ayasdi’s ability to accelerate the pace at which intermountain gains insights from its data, ” said mary hardy, ayasdi vice president of healthcare .
jennifer kloke is the vp of product innovation at ayasdi and has been with the company since its inception. throughout jennifer' s tenure at ayasdi, she has led the efforts to automate and expand the insights and impacts possible with data. she has served as the lead for the ayasdi data science efforts for government services as well as the algorithmic side of the engineering team .
ayasdi is licensed on an annual subscription basis, and can be deployed on premise, or via private or public cloud infrastructures .
ayasdi cure is a suite of intelligent applications for pharmaceutical companies focused on biomarker identification, drug target discovery, and precision medicine .
press release: ayasdi: artificial intelligence platform market - expected to reach $ 9. 8 billion by 2022 - research and markets
in 2015 chartis' s continuous market scan of end - user organizations identified ayasdi as one of the m ...
ayasdi, the artificial intelligence startup founded by stanford university math experts, on tuesday named former ibm executive bob griffin as ceo .
ayasdi care is a suite of intelligent applications for healthcare companies focused on clinical variation, claims reimbursement, population health and precision medicine .
ayasdi provides a revolutionary machine intelligence software that processes complex data, in overwhelming amounts, and helps to extract actionable insights from it .
ayasdi is a data analysis start - up built on the career of one man: gunnar carlsson, a professor of mathematics at stanford .
ayasdi' s revenue is the fourth highest among it' s top 10 competitors. the top 10 competitors average $ 4. 5m .
menlo park, calif. , march 28, 2017 / prnewswire / - - ayasdi, a leader in machine intelligence software ...
menlo park, calif. , april 6, 2016 / prnewswire / - - ayasdi, a developer of machine intelligence applica ...
editor' s note: gurjeet singh, phd, ceo and co - founder of ayasdi, an enterprise - grade artificial intel ...
menlo park, calif. - - (business wire) - - ayasdi, a leader in machine intelligence software and a pioneer ...
he was introduced to griffin by ayasdi board member karen richardson, the former ceo of e. piphany and head of sales at netscape communications .
ask the software vendor (ayasdi) if the software package includes consulting hours. do not hesitate to ask if there are any hidden charges involved .
i applied through a staffing agency. the process took 1 + week. i interviewed at ayasdi (menlo park, ca) in march 2016 .
“ayasdi envision will transform how intelligent applications are designed, developed and deployed in the enterprise, ” said ronaldo ama, evp, product and engineering at ayasdi. “we’ve made it incredibly simple and natural for technical and non - technical counterparts to interact and collaborate on the development of intelligent applications using a visual, web - based workflow. these applications surface the power of ayasdi to discover, predict, justify, act and learn on your data .
harlan sexton is a co - founder of ayasdi and vp of the research team whose main effort is to make topological data analysis faster and more scalable .
reconstructor holdings llc filed a lawsuit against ayasdi inc on july 6, 2016 in the california northern district court for a patent infringement case. [ 3 ]
ayasdi' s use of topological data analysis (tda) is ground - breaking, and ayasdi' s technology makes it easy for anyone to mine and discover insights in large, multi - dimensional data sets to drive rapid innovation in clinical trials and drug discovery .
amanda enstrom research scientist, bavarian nordic
technical product manager salaries at ayasdi can range from $ 85, 998 - $ 93, 034. this estimate is based upon 1 ayasdi technical product manager salary report (s) provided by employees or estimated based upon statistical methods. see all technical product manager salaries to learn how this stacks up in the market .
perfectial was commissioned to build, test and implement modeler – an application that connects ayasdi machine intelligence platform with end users and is easily installable on enterprises’ infrastructures .
ayasdi was started in 2008 to bring a groundbreaking new approach to solving the world’s most complex problems after a decade of research at stanford, darpa and nsf .
menlo park, ca - – june 21, 2017 – ayasdi, a leader in machine intelligence software and a pioneer in enterprise - class intelligent applications, today announced the release of ayasdi envision, a new framework to accelerate the creation of intelligent applications. built on ayasdi’s enterprise class ai platform, the offering is the first of its kind to enable organizations to quickly create and deploy intelligent applications that are purpose - built to solve a broad array of real - world business problems .
but ayasdi, a startup that closed $ 10 million in venture funding today, doesn’t just talk the talk. stanford researchers have been baking the complex algorithms behind ayasdi (its quirky name means “to seek, ” in cherokee) for over a decade, with the goal of unlocking the hidden value in human genetic data .
to address this problem, ayasdi is today officially launching its cloud - based insight discovery platform, which aims to deliver insight derived from massive datasets quickly, without relying on queries. the machine learning platform combines computer science with a branch of mathematics called “topological data analysis, ” which allows ayasdi to visualize entire datasets at once .
chicago - - (business wire) - - $ nci - - navigant consulting, inc. (nyse: nci) and ayasdi today announced they ...
menlo park, calif. - - (business wire) - - # ai - - ayasdi, a leader in machine intelligence software and a pio ...
2013 - ayasdi launches a new website and moves to a new office in downtown palo alto and ivp, ge ventures and citi ventures invest $ 30m series b .
ayasdi announces strategic alliance with teradata - the strategic alliance between these two companies is set to provide critical solutions to organisation' s complex data sets. [ 9 ]
ayasdi is transforming how the world uses data to solve complex problems. founded in 2008 after a decade of research at stanford, darpa, and nsf, ayasdi is pioneering a new approach for enterprises to automatically discover and operationalize insights from their data. ayasdi’s insight discovery platform uses topological data analysis (tda) combined with an ensemble of machine learning techniques to enable data scientists, domain experts, and business people to achieve value from their data without the need to write code, queries or ask questions .
ayasdi is on a mission to extract value from the world’s data through the creation and deployment of enterprise - class artificial intelligence. developed by stanford computational mathematicians, ayasdi’s unique approach combines machine learning, abundant compute and user - centric design to create intelligent applications that fundamentally change how organizations tackle their most complex challenges. based in menlo park, ca, ayasdi is backed by kleiner perkins caufield & byers, ivp, khosla, centerview partners, draper nexus, citi ventures, ge ventures and floodgate capital .
ayasdi is partnered with this leading global security and aerospace company to uncover insights from complex, multi - attribute program performance data – previously hidden or overlooked by conventional analytics .
ayasdi is an advanced analytics company that offers a machine intelligence platform and intelligent applications to global 500 corporations, governments and scientific research institutions around the world. our clients use ayasdi to solve their big data and complex data analytics challenges and to automate formerly manual processes using their own unique data. ayasdi’s machine intelligence platform combines scalable computing and big data infrastructure with the latest machine learning, statistical and geometric algorithms and topological data analysis to enable data scientists, domain experts and business people to be exponentially more productive .
carol sexton is the vp of engineering at ayasdi where she oversees the product development and quality assurance functions for the company, encompassing compute, backend, frontend and qa .
ayasdi’s clients reportedly include citi, lockheed, mercy, credit suisse, novo nordisk, the department of defense, the department of homeland security, mitsui, and siemens .
gurjeet is the author of numerous patents and has published in a variety of top mathematics and computer science journals. before starting ayasdi, he worked at google and texas instruments .
ayasdi has reached out to perfectial to develop an application tailored specifically to the needs of financial data scientists and able to be integrated into the technical infrastructure of an enterprise. the idea was to launch a tool that, through ayasdi’s predictive modelling, could help identify transactional frauds better, simplify trading decision making, and overall solve major problems businesses face .
gurjeet singh is ayasdi' s ceo and co - founder. he leads a technology movement that emphasizes the importance of extracting insight from data, not just storing and organizing it .
press release: ayasdi: global healthcare provider network management market - poised to reach usd 2. 96 billion by 2020 from usd 1. 78 billion in 2015 - research and markets
the prime purpose behind investing in the software solution is to boost efficiency and growth. ask the software vendor (ayasdi) how their business app would improve efficiency of your enterprise .
which software are the top alternatives for ayasdi core? when looking at alternatives for bi software you want to compare apples to apples, this is why our team closely looks at key features and pricing for ayasdi core in order to find the closest alternatives to theis vendor. here is the list of top alternatives, all of them meet the two criteria of features and pricing .
ayasdi’s tools allow for automated discovery instead of the previous model of having people type in search - style queries, which works only if a person knows the right question to ask, said gurjeet singh, co - founder and chief executive of ayasdi. as dr. carlsson explained it, “the idea is to get the data to speak to you in a more unfiltered way. ”
ayasdi is deployed in production around the world addressing a broad range of business problems. both the platform and the applications built on it support enterprise class features required to deploy across an organization .
such a community forum is the best way to engage users. getting access to ayasdi core forums can help new or proposed users connect with product experts through peer - to - peer discussions .
ajith warrier is responsible for conceptualizing and realizing ayasdi' s product vision and for facilitating its adoption by customers. previously, ajith warrier was the vp of data science where he had technical oversight and management of a team of data scientists in the financial services, healthcare and federal spaces. he has multiple years of experience in various data science, engineering, and product roles at ayasdi .
ayasdi core should answer how their business software will improve your bottom line and roi. most service providers make tall claims, so you want to make sure you get your hands on the best solution .
equityzen does not have an affiliation with, formal relationship with, or endorsement from ayasdi or any companies featured above. this profile is based on publicly available information and is intended to be informative in nature .
however, the result, the functional application turned out to be of immense value to financial analysts; it visualizes data, which has been processed by ayasdi algorithms, and makes it much easier to comprehend .
mission: our mission at ayasdi is to help organizations make groundbreaking discoveries that lead to rapid innovation, faster growth, increased cost savings, and perhaps most importantly, saving lives through breakthroughs in translational medicine .
ayasdi helps companies around the world to use artificial intelligence and big data to make employees hundreds of times more productive and to drive fundamental breakthroughs that are beyond the capabilities of humans. the company' s machine intellige
intelligence needs to be activated. ayasdi is integrated with emr systems to facilitate the rapid deployment of intelligence across the organization. further, ayasdi’s cvm application provides healthcare organizations with intuitive dashboards that let you objectively monitor adoption and adherence to standardized clinical pathways. the adherence analytics allow you to engage in data - driven conversations about care variation, capture the collective voice of your physician community, and continuously gather feedback to improve existing clinical pathways .
adam r. ferguson, an assistant professor at the brain and spinal injury center of the university of california, san francisco, has used ayasdi’s technology to investigate vast cross - species databases to expedite biomedical discovery and treatment .
over the years, ayasdi has come up with products that governments and organizations have been using for various applications like clinical pathways in hospitals, trading strategies, fraud detection, anti - money laundering, national security, etc .
gurjeet developed key mathematical and machine learning algorithms for topological data analysis (tda) and their applications during his tenure as a graduate student in stanford’s mathematics department where he was advised by ayasdi co - founder prof. gunnar carlsson .
ayasdi develoips interactive analysis and visualization software that enable users to visually analyze different data sets and creates images or maps. founded in 2008, the company has its corporate headquarters in menlo park, california. the company p ...
the ayasdi software will be at the center of citi’s data center of excellence. by automating the data - to - value process, citi will be able to reduce the time to insights, saving them and their customers millions of dollars .
mercy is committed to using advanced technology to transform healthcare. working with ayasdi, we are taking a powerful new approach to care pathways, using data as never before to deliver the transformative health experience that mercy strives to provide every day .
ayasdi is transforming how the world uses data to solve complex problems by automatically discovering and operationalizing insights from complex datasets. founded in 2008 after a decade of darpa and nsf funded research at stanford, ayasdi has been named as one of the most innovative companies in big data by fortune, fast company and others. the company' s advanced analytics solution combines machine learning with topological data analysis (tda), enabling users to extract subtle, often hidden insights from their data .
“the answers to today’s most important scientific, business and social problems lie in data, ” saus ayasdi ceo gurjeet singh. “the biggest challenge in big data today is asking the right questions of data, so the real opportunity in big data lies in the automation of insight discovery — regardless of the complexity of that data — without requiring users to ask questions. the goal is for ayasdi to provide users with answers to questions that they didn’t know to ask in the first place. ”
big bucks for big data startup ayasdi - with customers like citigroup, siemens, lockheed martin, and the mercy health system buying into its unique analytics approach, the company just raised another $ 55 million led by kleiner perkins. [ 7 ]
before choosing a business app, you want to understand that the implementation would be smooth. so you should be interested to find out about the person responsible for handling the implementation process. do not hesitate to ask ayasdi core about their qualifications .
2 more days left to register for # aifinance. learn from 23 industry experts in the first - of - its - kind course to understand the impact of # ai in finance. experts # fintech + gurjeet singh from @ ayasdi @ ngeeannnp urltoken
las vegas – utah - based intermountain healthcare will deploy the clinical variation management software from ayasdi, a developer of machine intelligence applications for healthcare. intermountain healthcare believes the software can boost the insights the health system can gain from its mountain of health data .
singh said he spent much of the past 18 months in the field, helping to grow ayasdi' s business providing machine intelligence to financial services customers. the company' s health care business was well - established and didn' t need his involvement .
perhaps your business is growing, will expand in the future and your bi requirements with it. so you would be interested to know if ayasdi core is scalable and can grow with you. it’s no use investing in a solution that can be scaled .
ayasdi has about 20 other customers including merck, the food and drug administration, the united states department of agriculture, and several unnamed large corporations. they are using the company’s technology for drug discovery, oil and gas exploration, and financial - market research .
a good software vendor should be able to show you a positive track record with their implementation strategy. try to find out if ayasdi core method is structured. your purpose should be to look for one that is structured and flexible to adapt to unexpected situations .
ayasdi’s software leverages machine learning and topological data analysis to extract meaningful insights from billions of data points, the vendor explained. consequently, intermountain sees the software helping it to more rapidly gain data insights that can help lead to better health outcomes at more sustainable costs .
gunnar carlsson is one of the most renowned mathematicians in the world. he is ayasdi’s president and a co - founder and has an undergraduate degree from harvard university and a doctorate from stanford, where he was chair of the department of mathematics from 1995 - 1998 .
ayasdi should clearly mention whether the solution is complex or simple to use. if it is not an easy - to - use software solution, then do they provide training? what is the level of training your team requires to make the most of the solution ?
gurjeet singh, ayasdi’s ceo, told fast company in a telephone conversation that “complexity is the challenge. for us, the number of possible insights in a dataset is an exponential function of size. ” singh says the company sees growth in newer areas such as private banking and biomarkers. medical giant mercy hospitals, for example, worked with ayasdi to navigate data in electronic medical records in order to generate customized “care paths” for patients, which could then be accessed by health care professionals on in - hospital - room ipads. other uses include finance giant citi finding critical variables in risk models with the platform, and lockheed using the software to find issues related to upcoming projects. mercy estimates its use of ayasdi for the so - called care paths will save $ 100 million over the next three years .
but silicon valley is full of big data start - ups that promise to translate the ever - growing flood of digital data into practical insights in business and science. so what is different about ayasdi, except its quirky name (“to seek, ” in cherokee) ?
as one of the largest medical genetics centers in the united states, we conduct pioneering research to identify the genetic susceptibilities - - or predispositions - - of many diseases, including cancer. ayasdi has already helped us glean new insights that will lead to breakthrough drug discoveries .
the top 10 competitors in ayasdi' s competitive set are bigml, palantir, versive, kensho, beyondcore, skytree, predicsis, azurefirst microsoft cloud platform specialists, h2o and datarobot. together they have raised over 2. 6b between their estimated 2. 4k employees .
we' re excited by ayasdi' s unique capability to let users find insights automatically from large, complex data sets. their ability to abstract away complexity thereby making powerful machine learning tools accessible to ordinary business users is particularly promising .
ramneek gupta managing director, citi
us government research agencies darpa and nsf award $ 10m in grants to stanford, with gunnar carlsson as the principal investigator, to apply topological data analysis (tda) to real world problems. gunnar invites ayasdi co - founder harlan sexton to work with him on the project .
intermountain has led the industry when it comes to understanding and managing clinical variation. we have been impressed by ayasdi’s technology and are optimistic for the impact this could have on our mission of helping people live the healthiest lives possible .
lee pierce chief data officer, intermountain healthcare
ayasdi is looking for a product manager who is obsessed with machine learning and related technologies. ayasdi’s technology has redefined how major corporations think about machine learning, and you can be a driver of the next phase of that change. your colleagues will be some of the best and brightest mathematicians, computer scientists and domain experts, which means you’ll need to articulate your thinking clearly, make very convincing arguments and be confident in the course you chart. you’ll need to be both process - oriented and flexible in your execution to accommodate the variety of constituents you’ll serve .
ayasdi uses ai to gather and process large volumes of data without human interference. it then applies machine learning and algorithms to provide insights and predict the future. it' s used by major banks and health care systems and has worked closely with griffin' s former employer ibm .
ayasdi envision democratizes and accelerates the creation of intelligent applications. designed for iterative development, its collaborative, workflow - oriented approach involves business users throughout the process, ensuring the requirements of subject - matter experts are met. analysts, data scientists and it groups can leverage ayasdi’s powerful ai platform to build business - specific intelligent applications using a pre - built library of ui components. the new web - based framework features a simple user interface that is easy to learn and navigate to make it easy for business users and data analysts to work in lock - step together .
two years later, seed funding allowed ayasdi, which is based in palo alto, calif. , to build prototype technology. on wednesday it is celebrating its commercial coming - out party, announcing that it received more than $ 10 million in a funding round led by khosla ventures and floodgate .
today, ayasdi’s 30 employees are nearly all scientists and engineers. the new financing, dr. singh said, will be spent to build out the company’s business, adding marketing, sales and administrative staff members, as well as more engineers for project development of its cloud - based software service .
mercy is committed to using advanced technology to transform healthcare. working with ayasdi, we are taking a powerful new approach to care pathways, using data as never before to deliver the transformative health experience that mercy strives to provide every day .
vance moore senior vice president, operations, mercy
for ai to deliver on its promise in healthcare it must be able to justify and document its recommendations. solutions that deliver a blackbox cannot be deployed in environments where patient lives are at risk. ayasdi’s cvm solution details each of the inputs to its recommended pathways and facilitates comparison to existing guidelines .
this technology has reduced lots of hours spent working by humans which has resulted in reduced costs. for example, it took 1, 800 months to build models for analysis of comprehensive capital analysis and review (ccar) by humans, while it took just 6 months with ayasdi. [ 1 ]
this morning we announced the release of ayasdi envision – a framework for accelerating the development of intelligent applications based on our award winning machine intelligence platform. envision does a lot of innovative things and while i won’t recount the press release here, i do want to expand on a few of them .
jennifer earned her ph. d. in mathematics from stanford university where she was advised by ayasdi co - founder, dr. gunnar carlsson and published her dissertation on
topological de - noising: strengthening the topological signal .
jennifer received her undergraduate degree in mathematics from texas a & m university .
traumatic brain injury remains a major cause of death and disability. using ayasdi’s solution we identified distinct groups within the patients enabling us to tailor effective treatment that increases survival rate. this is a major breakthrough in tbi diagnosis and treatment !
adam ferguson assistant adjunct professor of neurological surgery, ucsf medical center
each business has different needs. yours is no different. when it comes to selecting a software solution, you are looking for a tool that can be easily customized and configured to cater to your specific business needs. so you want to understand if ayasdi core you want to buy is easy to customize .
ayasdi is working with the nation’s top hospitals and medical researchers to uncover more targeted treatments for disease. singh, the company’s ceo, told me that hospitals and big pharmas are routinely pulling data from public sources — medical researchers are required to publish their data — and combine it with private data to yield new insights .
at ayasdi, we believe that deriving insight from big data will become essential and transformative for every enterprise. we believe that machine intelligence has the ability to revolutionize industries, allowing businesses to scale with algorithms and raw computing power rather than people, drastically improving human productivity, increasing operational effectiveness, and advancing scientific discovery .
ayasdi, which uses a technique called topological data analysis to visualize extremely complex data sets in the form of shapes, currently has close to $ 100 million in funding. they work in a similar sphere to fellow silicon valley firm palantir, but have reportedly increasingly focused on health care alongside both companies’ core customer bases in finance and government .
in another recent partnership, with mount sinai medical center, ayasdi was used to point to targeted treatment options for e. coli sufferers. e. coli affects more than 265, 000 people in the u. s. every year, and millions around the world. it is known in the medical community for developing resistance to many drugs, and doctors are never 100 percent sure if a treatment will work or not. mount sinai is using ayasdi to analyze the entire e. coli genome sequence, which includes more than 1 million dna variants. this will further our understanding of why some types of e. coli develop resistance to antibiotics and how we can combat the spread of the bacteria .
big data continues to grow, yet, while governments, businesses and scientists have spent years (and millions of dollars) attempting to address the world’s biggest problems by analyzing big data, progress has been incremental. although big data tools have improved over time, ayasdi is of the mindset that they are still failing to yield the kind of breakthrough insights that lead to true innovation .
singh was referring to a recent breakthrough where ayasdi mapped 14 variants of breast cancer. using data collected during a 15 year period, and studied by thousands of scientists, the algorithms discovered a sub - group of patients that have a higher chance of survival based on their genetic profile. if a patient falls into this sub - group, it is unlikely that they will require chemotherapy .
“intermountain has led the industry when it comes to understanding and managing clinical variation, ” said lee pierce, intermountain’s chief data officer. “it is one of the key principles we have applied in delivering value - based care to our patient population. we have been impressed by ayasdi’s technology and are optimistic for the impact it could have on our mission of helping people live the healthiest lives possible. ”
prior to ayasdi, sangeeta built multiple professional services practices across a number of successful startups including digital fuel (acquired by vmware), inquira (acquired by oracle) and interwoven. sangeeta began her career in consulting with tata, fujitsu and vitria. she earned her bs in computer science from the national institute of technology in warangal, india and her mba from uc berkeley’s haas school of business .
the ayasdi application comprehensively analyzes your hospital’s data and captures all clinical variation – both good and bad. it reflects the collective experience and expertise of your own physicians and ensures that you do not miss out on good variations that result in better patient outcomes. furthermore, the application is always looking at new data as it comes in, finding emerging patterns that reflect the current practice within the organization .
jonathan symonds is the chief marketing officer for ayasdi where he is responsible for messaging, product marketing, demand generation and corporate awareness. previously, jonathan was the vp of marketing for gpu - powered analytics pioneer, mapd. he has over 16 years of enterprise software and analytics marketing experience at ace metrix, 2wire and tandberg. he holds an mba from cornell and a ba from washington and lee university .
and whether you are developing relatively small, but highly strategic applications, or larger offerings that require intelligent attributes, envision can help you. the way it is connected to the ayasdi platform means that it includes all the enterprise capabilities you are accustomed to in your traditional application development environment. there’s full it blessing – specifically designed for intelligent applications – without the lead times and lengthy approvals necessary for larger it projects .
gary hagmueller is ayasdi’s chief operating officer and brings an extensive background in enterprise software, saas / cloud technology and hyper - growth startups. gary has raised over $ 1. 2b in debt & equity, helped create over $ 7. 5b in market value and is a frequent presenter on best practices for emerging technology firms, saas / cloud / e - commerce metrics, fundraising & growth - company strategic planning .
ayasdi helps companies around the world to use artificial intelligence and big data to make employees hundreds of times more productive and to drive fundamental breakthroughs that are beyond the capabilities of humans. the company' s machine intelligence platform leverages automation, machine learning and topological data analysis to simplify the extraction of knowledge from even the largest and most complex data sets and to facilitate the deployment of intelligent, ai - based applications across t
that technique is called topological data analysis. simply put, the technique analyzes the shape of complex data, identifying clusters and their statistical significance. that, in turn, delivers a more accurate “big picture” of the data, according to robert ghrist, a mathematician at the university of pennsylvania, who is familiar with dr. carlsson’s work but has no ties to ayasdi. such data could represent clusters of patients or customers, for example .
despite the media hype surrounding big data, specialized data analysis platforms have had a slower time penetrating the market outside of a few verticals such as finance, health care, and energy. finding insights using the software takes time, and there’s also a limited supply of in - house experts clients can use to work with the software. for ayasdi and similar competitors, the big challenge is sales and building relationships with like - minded clients .
carol comes to ayasdi from oracle where she spent more than two decades in leading engineering teams, culminating as the vice president, server technologies, program management database security and big data products. during her time at oracle, she oversaw every database release from 8i to 12. 1 while working on key initiatives for what would become the oracle cloud. carol has spent her entire career in software, including leadership roles at parcplace systems and lucid .
ayasdi is an analytics company that offers a platform to provide solutions to complex data challenges for organizations. founded in 2008, it helps the companies recognize and analyze their own data and develop insights. using its machine intelligence platform, topological data analysis (tda), along with machine learning techniques, helps in extracting valuable information from the available data. this technology helps in representing data in forms of network similarity map which results in advanced correlations .
there is great complexity associated with discovering meaningful relationships in event series. this challenge is compounded where there are multiple events that evolve over time. in these cases, the user needs to determine which events are over or under represented in the groups. further, are those events / groups biased towards certain outcomes? ayasdi’s ability to extract meaningful patterns and find consensus event series based on groups of incidents ensures that subject matter experts can appropriately action this knowledge .
ayasdi for clinical variation management draws on the power of machine intelligence to rapidly analyze all your electronic medical record (emr) and financial data, representing thousands of patient procedures and millions of individual events. using unsupervised and semi - supervised learners it automatically surfaces groups of similar patient procedures and generates clinical pathways that result in the best patient outcomes at the lowest costs for your local patient population – in a fraction of the time associated with traditional carepath generation methods .
ayasdi core has tremendous exposure to different companies. they offer the same type of software to different industries, so they are better aware of who is doing what with their technological product. this also helps them understand and foresee what’s really working. allow them to share their observations so that you get an ideas about their experience, expertise, and intelligence. this will also be an opportunity to identify the service providers who come up with the most insightful suggestions .
if we needed any more evidence that big data is big business, a stanford university spin - off specializing in data analysis for finance, government agencies, and health care just snagged a $ 55 million funding round. ayasdi (which was previously named one of fast company ’s most innovative companies of 2015) will use the money, which came in a series c round led by kleiner, perkins, caulfield & byers, for software upgrades, sales, and marketing .
this year, the 30 - person team of engineers will expand its marketing and sales efforts with funding from khosla ventures, floodgate, data collective’s matt ocko, serial entrepreneur, steve blank, and more. storied investor vinod khosla, who rocked the medical world with the statement that 80 percent of doctors would be replaced by machines, said ayasdi’s “machine powered intelligence” has the potential to unearth “previously unattainable insights that will help solve some of our most pressing global, social, and economic issues. ”
the ayasdi co - founders attribute this to the prevailing reliance among data scientists on old models — finding insights by asking questions and writing queries. the problem with this is that queries are inherently based on human assumptions and biases, and, in turn, query results tend to only reveal slices of data, rather than providing visibility into the relationships between similar groups of data. this method of discovering insight in big data tends to rely heavily on iterative guesswork and chance, and thus takes time to produce real results .
ayasdi care, an advanced analytics company, offers a machine intelligence platform and intelligent applications to its clients across the world. the company enables its users to solve their big data and complex data analytics challenges and to automate formerly manual processes using their own unique data. its machine intelligence platform combines scalable computing and big data infrastructure with the machine learning, statistical and geometric algorithms, and topological data analysis to increase its productivity. the company’s clientele is comprised of global 500 corporations, governments, and scientific research institutions. it is licensed on an annual subscription basis .
ann miura - ko is a co - founding partner at floodgate where her investment interests include e - commerce, capitally efficient software and radical science. ann has been recognized by forbes as one of the “most powerful woman in startups” and got her ph. d. in quantitative modeling of computer security at stanford university. over the years through her teaching post in the stanford technology ventures program, ann has worked with over 500 students on more than 150 startup ideas. in addition to ayasdi, ann' s board seats include modcloth, refinery29 and xamarin. ann also has a b. s. in electrical engineering from yale university .
prior to ayasdi, gary was cfo of zuora, inc. , the leading subscription erp, where he helped raise $ 40m, rebuilt & lead multiple teams. previously, he was cfo of knownow (kleiner - perkins backed), coo of vinfolio (acquired by revolution capital) and senior director of finance for routescience technologies (benchmark / sequoia - backed; acquired by avaya). earlier, gary was director of corporate development for northpoint communications where he helped drive a $ 6. 5b ipo. he came to northpoint after spending 3 ½ years as manager of business development for verizon enterprise offerings business. before grad school, he spent 6 years in enterprise sales .
i was contacted by the recruiter and applied by replying to the email. i was contacted very soon by the recruiter for an informal chat over phone asking about my interests. they moved to first phone interview very soon. after clearing that, i had 5 onsite rounds. the rounds consisted of algorithm questions, design questions, testing knowledge, asking about your experience / projects etc. lastly i talked to the vp of engineering which was very insightful and i enjoyed that part very much. in 2 days, i got a call from ayasdi recruiter with my offer. the process was very smooth and the recruiter was very understanding and helpful. interviews were very original and interesting .
the history behind the foundation of ayasdi goes back to the early 1970s, when gunnar carlsson, harlan sexton, and benjamin mann met as ph. d. mathematics students at stanford university. they conceptualized the concept of topological data analysis for the next 30 years or so, which forms the root of the company’s technology today. soon, us government research agencies darpa and nsf award $ 10m in grants to stanford which helped the company with the funding. in 2005, ph. d. mathematics student, gurjeet singh, joined this team and continued with the project and created mapper, the first software program that applies tda. a few years later, in 2008, the company was all set to provide its services .
over the past 35 years, gunnar has taught at the university of chicago, university of california, princeton university, and since 1991, gunnar has been a professor of mathematics at stanford university, where he has been a thought leader in a branch of mathematics called topology, the study of shape. in the theoretical sense, topology has been around since the 1700s, but gunnar pioneered the applied use of topology to solve complex real world problems starting in the late 1990s. in the early 2000s, this work led to $ 10m in research grants from the national science foundation (nsf) and darpa to study the application of topological data analysis (tda) to problems of interest within the u. s. government. in 2008, based on the success of these efforts, gunnar, along with two other stanford mathematicians, co - founded ayasdi .
we use cookies to ensure that we give you the best experience on our website. by continuing to use this site you agree to our use of cookies .
government spending for science has helped a lot too. dr. carlsson was the principal investigator on research projects that were financed, from 2000 to 2008, with $ 10 million from the national science foundation and the defense advanced research projects agency, or darpa.
ayasdi is a machine intelligence software company that offers a software platform and applications to organizations looking to analyze and build predictive models using big data or highly dimensional data sets . organizations and governments have deployed ayasdi 's software across a variety of use cases including the development of clinical pathways for hospitals , anti-money laundering , fraud detection , trading strategies , customer segmentation , oil and gas well development , drug development , disease research , information security , anomaly detection and national security applications . ayasdi focuses on hypothesis-free , automated analytics at scale . in effect the ayasdi system consumes the target data set , runs many different unsupervised and supervised machine learning algorithms on the data , automatically finds and ranks best fits , and then applies topological data analysis to find similar groups within the resultant data . it presents the end analysis in the form of a network similarity map , which is useful for an analyst to use to further explore the groupings and correlations that the system has uncovered . this reduces the risk of bias since the system surfaces " what the data says " in an unbiased fashion , rather than relying on analysts or data scientists manually running algorithms in support of pre-existing hypotheses . ayasdi then generates mathematical models which are deployed in predictive and operational systems and applications . organizations using ayasdi have found ayasdi 's automated , platform-based approach to machine intelligence to be two to five orders of magnitude more efficient than existing approaches to big data analytics , as measured in the amount of time and expense required to complete analysis and build models using large and complex data sets . one widely reported example at a top five global systemically important bank was that to build models required for the annual comprehensive capital analysis and review ( ccar ) process took 1,800 person months with traditional manual big data analytics and machine learning tools , but took 6 person months with ayasdi . a project at a second global systemically important bank showed ayasdi reducing the time to build risk models from 3,000 person hours to 10 minutes . 
ayasdi is a machine intelligence software company that offers a software platform and applications to organizations looking to analyze and build predictive models using big data or highly dimensional data sets. organizations and governments have deployed ayasdi's software across a variety of use cases including the development of clinical pathways for hospitals, anti-money laundering, fraud detection, trading strategies, customer segmentation, oil and gas well development, drug development, disease research, information security, anomaly detection and national security applications. ayasdi focuses on hypothesis-free, automated analytics at scale. in effect the ayasdi system consumes the target data set, runs many different unsupervised and supervised machine learning algorithms on the data, automatically finds and ranks best fits, and then applies topological data analysis to find similar groups within the resultant data. it presents the end analysis in the form of a network similarity map, which is useful for an analyst to use to further explore the groupings and correlations that the system has uncovered. this reduces the risk of bias since the system surfaces " what the data says " in an unbiased fashion, rather than relying on analysts or data scientists manually running algorithms in support of pre-existing hypotheses. ayasdi then generates mathematical models which are deployed in predictive and operational systems and applications. organizations using ayasdi have found ayasdi's automated, platform-based approach to machine intelligence to be two to five orders of magnitude more efficient than existing approaches to big data analytics, as measured in the amount of time and expense required to complete analysis and build models using large and complex data sets. one widely reported example at a top five global systemically important bank was that to build models required for the annual comprehensive capital analysis and review (ccar) process took 1,800 person months with traditional manual big data analytics and machine learning tools, but took 6 person months with ayasdi. a project at a second global systemically important bank showed ayasdi reducing the time to build risk models from 3,000 person hours to 10 minutes.
ayasdi is a machine intelligence software company that offers a software platform and applications to organizations looking to analyze and build predictive models using big data or highly dimensional data sets. organizations and governments have deployed ayasdi's software across a variety of use cases including the development of clinical pathways for hospitals, anti-money laundering, fraud detection, trading strategies, customer segmentation, oil and gas well development, drug development, disease research, information security, anomaly detection and national security applications. ayasdi focuses on hypothesis-free, automated analytics at scale. in effect the ayasdi system consumes the target data set, runs many different unsupervised and supervised machine learning algorithms on the data, automatically finds and ranks best fits, and then applies topological data analysis to find similar groups within the resultant data. it presents the end analysis in the form of a network similarity map, which is useful for an analyst to use to further explore the groupings and correlations that the system has uncovered. this reduces the risk of bias since the system surfaces " what the data says " in an unbiased fashion, rather than relying on analysts or data scientists manually running algorithms in support of pre-existing hypotheses. ayasdi then generates mathematical models which are deployed in predictive and operational systems and applications. organizations using ayasdi have found ayasdi's automated, platform-based approach to machine intelligence to be two to five orders of magnitude more efficient than existing approaches to big data analytics, as measured in the amount of time and expense required to complete analysis and build models using large and complex data sets. one widely reported example at a top five global systemically important bank was that to build models required for the annual comprehensive capital analysis and review (ccar) process took 1,800 person months with traditional manual big data analytics and machine learning tools, but took 6 person months with ayasdi. a project at a second global systemically important bank showed ayasdi reducing the time to build risk models from 3,000 person hours to 10 minutes.