This document outlines 8 ways that AI can help fight the coronavirus pandemic. It details how AI is being used to screen patients for infection, identify those at highest risk, detect COVID-19 from other respiratory illnesses using chest scans, predict which patients may decline, track hospital resources and discharged patients, screen for high temperatures, and analyze medical images and data to help develop new treatments.
TiE Boston Semiconductor & Electronic Devices and LifeScience Joint SIG Event.
Examples of some of the Smart Medical Devices out there and the market opportunities in medical electronics.
This is a presentation I gave at the TiE Lifesciences & Healthcare event titled "Smart Medical Devices" in April 2010 at Foley Hoag in Waltham. Contains tons of examples and categories of smart devices
Blockchain can be applied in several use cases such as data management in electronic medical records, healthcare data security, and management of genomics at the point of care. To know more details and information about use cases, you can visit the below websites:
https://dhealth.network/use-cases/
https://dhealth.network/2021/01/11/health-certificates-on-blockchain/
https://dhealth.network/2021/01/07/hemophilia/
https://dhealth.network/2020/12/10/rabies-vaccine-tracking-with-blockchain-in-mali-and-ivory-coast/
https://dhealth.network/2020/12/01/management-of-respiratory-diseases-with-the-centiva-life-app/
Flow Cytometry Market is anticipated to reach CAGR of 11.0% with US$ 8100 Mn by 2025. Flow Cytometry Market growth drive by the increase government initiatives in research studies for the prevalence of disease. Also reagents & consumables segment are likely to fuel expansion of the global flow cytometry market.
What are the liquid biopsy fundamentals? What are the goals of liquid biopsy? What are the market trends in liquid biopsy? Who's investing in liquid biopsy? What biomarkers are driving liquid biopsy?
Global vaccine market Keyword Market PPT 2021-26 | Enhancing Huge Growth and ...IMARC Group
According to the latest report by IMARC Group the global vaccine market size reached a strong growth in 2020.One of the leading trends witnessed in the global vaccines market is the surging cases of the coronavirus disease (COVID-19), which has, till date, resulted in the loss of around half a million lives around the world Looking forward, the market value is projected to reach a strong growth during the forecast period (2021-2026).
2020521 Artificial Intelligence Wont Save Us From Coronavir.docxdomenicacullison
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 1/6
ALEX ENGLER IDEAS 04.26.2020 08:00 AM
Artificial Intelligence Won't Save Us From
Coronavirus
The hype is real, but the potential is not: Approach claims around AI and
Covid-19 with skepticism.
Fever detection is a plausible use case of AI, but it will take far more time, effort, and money to build systems that are robust enough
to trust. PHOTOGRAPH: ELIJAH NOUVELAGE/BLOOMBERG/GETTY IMAGES
https://www.wired.com/contributor/alex-engler
https://www.wired.com/category/ideas
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 2/6
ARTIFICIAL INTELLIGENCE IS here to save us from coronavirus. It spots new outbreaks,
identifies people with fevers, diagnoses cases, prioritizes the patients most in need, reads the
scientific literature, and is on its way to creating a cure.
If only.
WIRED OPINION
ABOUT
Alex Engler is a David M. Rubenstein Fellow at the Brookings Institution and an adjunct
professor and affiliated scholar at Georgetown University’s McCourt School of Public Policy.
As the world confronts the outbreak of coronavirus, many have lauded AI as our omniscient
secret weapon. Although corporate press releases and some media coverage sing its praises, AI
will play only a marginal role in our fight against Covid-19. While there are undoubtedly ways
in which it will be helpful—and even more so in future pandemics—at the current moment,
technologies like data reporting, telemedicine, and conventional diagnostic tools are far more
impactful. So how can you avoid falling for the AI hype? In a recent Brookings Institution
report, I identified the necessary heuristics for a healthy skepticism of AI claims around Covid-
19.
Let’s start with the most important rule: always look to the subject matter experts. If they are
applying AI, fantastic! If not, be wary of AI applications from software companies that don’t
employ those experts. Data is always dependent on its context, which takes expertise to
understand. Does data from China apply to the United States? How long might exponential
growth continue? By how much will our interventions reduce transmission? All models, even
AI models, make assumptions about questions like these. If the modelers don’t understand
those assumptions, their models are more likely to be harmful than helpful.
Thankfully, in the case of Covid-19, epidemiologists know quite a bit about the context of the
data. Even though the virus is new and there is much to be learned, there is tremendous depth
https://brookingsinstitution-my.sharepoint.com/:w:/r/personal/aengler_brookings_edu/_layouts/15/Doc.aspx?sourcedoc=%7B88105CD7-4510-43F4-B708-64D18DFFA284%7D&file=OpEd-AISkepticism-COVID-19_KS1.docx&action=default&mobileredirect=true&cid=141bd.
2020521 Artificial Intelligence Wont Save Us From Coronavir.docxvickeryr87
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 1/6
ALEX ENGLER IDEAS 04.26.2020 08:00 AM
Artificial Intelligence Won't Save Us From
Coronavirus
The hype is real, but the potential is not: Approach claims around AI and
Covid-19 with skepticism.
Fever detection is a plausible use case of AI, but it will take far more time, effort, and money to build systems that are robust enough
to trust. PHOTOGRAPH: ELIJAH NOUVELAGE/BLOOMBERG/GETTY IMAGES
https://www.wired.com/contributor/alex-engler
https://www.wired.com/category/ideas
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 2/6
ARTIFICIAL INTELLIGENCE IS here to save us from coronavirus. It spots new outbreaks,
identifies people with fevers, diagnoses cases, prioritizes the patients most in need, reads the
scientific literature, and is on its way to creating a cure.
If only.
WIRED OPINION
ABOUT
Alex Engler is a David M. Rubenstein Fellow at the Brookings Institution and an adjunct
professor and affiliated scholar at Georgetown University’s McCourt School of Public Policy.
As the world confronts the outbreak of coronavirus, many have lauded AI as our omniscient
secret weapon. Although corporate press releases and some media coverage sing its praises, AI
will play only a marginal role in our fight against Covid-19. While there are undoubtedly ways
in which it will be helpful—and even more so in future pandemics—at the current moment,
technologies like data reporting, telemedicine, and conventional diagnostic tools are far more
impactful. So how can you avoid falling for the AI hype? In a recent Brookings Institution
report, I identified the necessary heuristics for a healthy skepticism of AI claims around Covid-
19.
Let’s start with the most important rule: always look to the subject matter experts. If they are
applying AI, fantastic! If not, be wary of AI applications from software companies that don’t
employ those experts. Data is always dependent on its context, which takes expertise to
understand. Does data from China apply to the United States? How long might exponential
growth continue? By how much will our interventions reduce transmission? All models, even
AI models, make assumptions about questions like these. If the modelers don’t understand
those assumptions, their models are more likely to be harmful than helpful.
Thankfully, in the case of Covid-19, epidemiologists know quite a bit about the context of the
data. Even though the virus is new and there is much to be learned, there is tremendous depth
https://brookingsinstitution-my.sharepoint.com/:w:/r/personal/aengler_brookings_edu/_layouts/15/Doc.aspx?sourcedoc=%7B88105CD7-4510-43F4-B708-64D18DFFA284%7D&file=OpEd-AISkepticism-COVID-19_KS1.docx&action=default&mobileredirect=true&cid=141bd.
TiE Boston Semiconductor & Electronic Devices and LifeScience Joint SIG Event.
Examples of some of the Smart Medical Devices out there and the market opportunities in medical electronics.
This is a presentation I gave at the TiE Lifesciences & Healthcare event titled "Smart Medical Devices" in April 2010 at Foley Hoag in Waltham. Contains tons of examples and categories of smart devices
Blockchain can be applied in several use cases such as data management in electronic medical records, healthcare data security, and management of genomics at the point of care. To know more details and information about use cases, you can visit the below websites:
https://dhealth.network/use-cases/
https://dhealth.network/2021/01/11/health-certificates-on-blockchain/
https://dhealth.network/2021/01/07/hemophilia/
https://dhealth.network/2020/12/10/rabies-vaccine-tracking-with-blockchain-in-mali-and-ivory-coast/
https://dhealth.network/2020/12/01/management-of-respiratory-diseases-with-the-centiva-life-app/
Flow Cytometry Market is anticipated to reach CAGR of 11.0% with US$ 8100 Mn by 2025. Flow Cytometry Market growth drive by the increase government initiatives in research studies for the prevalence of disease. Also reagents & consumables segment are likely to fuel expansion of the global flow cytometry market.
What are the liquid biopsy fundamentals? What are the goals of liquid biopsy? What are the market trends in liquid biopsy? Who's investing in liquid biopsy? What biomarkers are driving liquid biopsy?
Global vaccine market Keyword Market PPT 2021-26 | Enhancing Huge Growth and ...IMARC Group
According to the latest report by IMARC Group the global vaccine market size reached a strong growth in 2020.One of the leading trends witnessed in the global vaccines market is the surging cases of the coronavirus disease (COVID-19), which has, till date, resulted in the loss of around half a million lives around the world Looking forward, the market value is projected to reach a strong growth during the forecast period (2021-2026).
2020521 Artificial Intelligence Wont Save Us From Coronavir.docxdomenicacullison
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 1/6
ALEX ENGLER IDEAS 04.26.2020 08:00 AM
Artificial Intelligence Won't Save Us From
Coronavirus
The hype is real, but the potential is not: Approach claims around AI and
Covid-19 with skepticism.
Fever detection is a plausible use case of AI, but it will take far more time, effort, and money to build systems that are robust enough
to trust. PHOTOGRAPH: ELIJAH NOUVELAGE/BLOOMBERG/GETTY IMAGES
https://www.wired.com/contributor/alex-engler
https://www.wired.com/category/ideas
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 2/6
ARTIFICIAL INTELLIGENCE IS here to save us from coronavirus. It spots new outbreaks,
identifies people with fevers, diagnoses cases, prioritizes the patients most in need, reads the
scientific literature, and is on its way to creating a cure.
If only.
WIRED OPINION
ABOUT
Alex Engler is a David M. Rubenstein Fellow at the Brookings Institution and an adjunct
professor and affiliated scholar at Georgetown University’s McCourt School of Public Policy.
As the world confronts the outbreak of coronavirus, many have lauded AI as our omniscient
secret weapon. Although corporate press releases and some media coverage sing its praises, AI
will play only a marginal role in our fight against Covid-19. While there are undoubtedly ways
in which it will be helpful—and even more so in future pandemics—at the current moment,
technologies like data reporting, telemedicine, and conventional diagnostic tools are far more
impactful. So how can you avoid falling for the AI hype? In a recent Brookings Institution
report, I identified the necessary heuristics for a healthy skepticism of AI claims around Covid-
19.
Let’s start with the most important rule: always look to the subject matter experts. If they are
applying AI, fantastic! If not, be wary of AI applications from software companies that don’t
employ those experts. Data is always dependent on its context, which takes expertise to
understand. Does data from China apply to the United States? How long might exponential
growth continue? By how much will our interventions reduce transmission? All models, even
AI models, make assumptions about questions like these. If the modelers don’t understand
those assumptions, their models are more likely to be harmful than helpful.
Thankfully, in the case of Covid-19, epidemiologists know quite a bit about the context of the
data. Even though the virus is new and there is much to be learned, there is tremendous depth
https://brookingsinstitution-my.sharepoint.com/:w:/r/personal/aengler_brookings_edu/_layouts/15/Doc.aspx?sourcedoc=%7B88105CD7-4510-43F4-B708-64D18DFFA284%7D&file=OpEd-AISkepticism-COVID-19_KS1.docx&action=default&mobileredirect=true&cid=141bd.
2020521 Artificial Intelligence Wont Save Us From Coronavir.docxvickeryr87
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 1/6
ALEX ENGLER IDEAS 04.26.2020 08:00 AM
Artificial Intelligence Won't Save Us From
Coronavirus
The hype is real, but the potential is not: Approach claims around AI and
Covid-19 with skepticism.
Fever detection is a plausible use case of AI, but it will take far more time, effort, and money to build systems that are robust enough
to trust. PHOTOGRAPH: ELIJAH NOUVELAGE/BLOOMBERG/GETTY IMAGES
https://www.wired.com/contributor/alex-engler
https://www.wired.com/category/ideas
2020/5/21 Artificial Intelligence Won't Save Us From Coronavirus | WIRED
https://www.wired.com/story/artificial-intelligence-wont-save-us-from-coronavirus/ 2/6
ARTIFICIAL INTELLIGENCE IS here to save us from coronavirus. It spots new outbreaks,
identifies people with fevers, diagnoses cases, prioritizes the patients most in need, reads the
scientific literature, and is on its way to creating a cure.
If only.
WIRED OPINION
ABOUT
Alex Engler is a David M. Rubenstein Fellow at the Brookings Institution and an adjunct
professor and affiliated scholar at Georgetown University’s McCourt School of Public Policy.
As the world confronts the outbreak of coronavirus, many have lauded AI as our omniscient
secret weapon. Although corporate press releases and some media coverage sing its praises, AI
will play only a marginal role in our fight against Covid-19. While there are undoubtedly ways
in which it will be helpful—and even more so in future pandemics—at the current moment,
technologies like data reporting, telemedicine, and conventional diagnostic tools are far more
impactful. So how can you avoid falling for the AI hype? In a recent Brookings Institution
report, I identified the necessary heuristics for a healthy skepticism of AI claims around Covid-
19.
Let’s start with the most important rule: always look to the subject matter experts. If they are
applying AI, fantastic! If not, be wary of AI applications from software companies that don’t
employ those experts. Data is always dependent on its context, which takes expertise to
understand. Does data from China apply to the United States? How long might exponential
growth continue? By how much will our interventions reduce transmission? All models, even
AI models, make assumptions about questions like these. If the modelers don’t understand
those assumptions, their models are more likely to be harmful than helpful.
Thankfully, in the case of Covid-19, epidemiologists know quite a bit about the context of the
data. Even though the virus is new and there is much to be learned, there is tremendous depth
https://brookingsinstitution-my.sharepoint.com/:w:/r/personal/aengler_brookings_edu/_layouts/15/Doc.aspx?sourcedoc=%7B88105CD7-4510-43F4-B708-64D18DFFA284%7D&file=OpEd-AISkepticism-COVID-19_KS1.docx&action=default&mobileredirect=true&cid=141bd.
Nobody can predict the future, however by following trends, we can navigate the direction in which we’re heading. Trends are dictated by a wide range of economic and political factors, and often they are propelled by innovations. The newest technological trends owe themselves to necessary innovations in the healthcare industry, spurred by the Covid-19 pandemic.
With the Covid-19 pandemic revealing the gaps and inefficiencies of healthcare systems around the world, the newest developments in healthcare technologies are suddenly getting a lot more attention. This is useful, because the executives who are often hesitant in changing long-standing healthcare practices must revaluate and evolve in order to provide the most effective treatment plans for their patients.
Artificial intelligence to fight against covid19saritamathania
Artificial intelligence (AI) and machine learning are playing a significant role in understanding and addressing the crisis caused by COVID-19. The technology mimic human intelligence and ingest great volumes of data to quickly chart patterns and identify insights.
One example is when BenevolentAI, a global leader in the development and application of artificial intelligence for drug discovery, took just few days to find that Baricitinib (a drug currently approved for rheumatoid arthritis, owned by Eli Lilly) is a strongest candidate and can be a potential treatment for COVID-19 patients.
This accelerated the clinical trials of #Baricitinib and Eli Lilly (a giant American Pharmaceutical company) has already commenced phase III clinical trials of Baricitinib to treat COVID-19.
Few more names include Deepmind, ImmunoPrecise, Insilico, healx, Imperial College, Tech Mahindra, and Deargen. Some Indian companies include NIRAMAI, Staqu, Qure.AI, Tech Mahindra, and DiyCam.
Digital technology and COVID-19
The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak.
Daniel Shu Wei Ting, Lawrence Carin, Victor Dzau and Tien Y. Wong, publicado en Nature Medicine.
AI, Machine Learning Playing Important Role In Fighting COVID-19 OpenTeQ group
This is example of research at the Radiological Society of North America. Highlighting the point out this phenomenon- that some of the patients are falling ill and dying as some others are experiencing very mild symptoms are none at all is the most mysterious element of the disease. Mortality is one of the correlations with some of the major factors like age, gender, and other major chronic conditions. Hence, more factors can be prognostic as the young individuals have succumbed to the virus.
Can biometrics help to identify asymptomatic COVID-19 patients_- Bahaa Abdul ...Bahaa Abdulhadi
Bahaa Abdul Hadi is an Identity Management expert and regularly shares his experiences with his audience through his blogs.
While scientists are busy developing coronavirus vaccines, biotech firms think there might a better preventive solution. The question on their mind is: can biometrics detect Covid-19 in asymptomatic patients. Most Covid-19 patients do not show any prominent symptoms.
The first section of Part III will cover the most immediate healthcare response - which is to test and diagnose patients for COVID-19, to get a clear picture on the extent of the spread of infection. It also covers the current technologies used in diagnostics: RT-PCR, LAMP, Lateral Flow and ELISA. It would also highlight key companies and comparison of the technologies involved.
Digital Health Market has exploded in the last few years. Will that continue? What are the main areas of growth in digital days and what the future will bring us.
Startups Step Up - how healthcare ai startups are taking action during covid-...Renee Yao
All around the world, people are facing unprecedented challenges and uncertainties as a result of COVID-19. At NVIDIA Inception program, a virtual incubation startup program, which hosts 5000+ AI startups, we see an army of healthcare AI startups that have mobilized to address this global health crisis. This webinar will share real world examples on how each offering plays a critical role during this pandemic.
Live event: https://www.meetup.com/Women-in-Big-Data-Meetup/events/270191555/?action=rsvp&response=3.
YouTube Link: https://www.youtube.com/watch?v=QWkKINi8u4o&feature=youtu.be
Decision Support System for clinical practice created on the basis of the Un...blejyants
The company Socmedica developing an expert system of decision support for medical information systems. The product is aimed at solving the problem of medical errors.
Role of ai in mobile application development venkat k - mediumusmsystem
Artificial intelligence, as a new technology field has already gained tremendous momentum and popularity across all the digital niches. From the conversational chatbots to data analytics to the user experience design, AI is now being used for an array of niche purposes.
Top 3 improvements that made by ai in logistics venkat k - mediumusmsystem
There’s no other way to describe it: Artificial Intelligence (AI) is revolutionizing the world of logistics. That may seem like a cliché, or hype, or buzz, but it is true.
The tech is fundamentally changing the way packages move around the world, from predictive analytics to autonomous vehicles and robotics. Here are the top five ways in which Artificial Intelligence is transforming the logistics industry as we know it:
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Similar to 8 advantages of ai to fight coronavirus venkat k - medium
Nobody can predict the future, however by following trends, we can navigate the direction in which we’re heading. Trends are dictated by a wide range of economic and political factors, and often they are propelled by innovations. The newest technological trends owe themselves to necessary innovations in the healthcare industry, spurred by the Covid-19 pandemic.
With the Covid-19 pandemic revealing the gaps and inefficiencies of healthcare systems around the world, the newest developments in healthcare technologies are suddenly getting a lot more attention. This is useful, because the executives who are often hesitant in changing long-standing healthcare practices must revaluate and evolve in order to provide the most effective treatment plans for their patients.
Artificial intelligence to fight against covid19saritamathania
Artificial intelligence (AI) and machine learning are playing a significant role in understanding and addressing the crisis caused by COVID-19. The technology mimic human intelligence and ingest great volumes of data to quickly chart patterns and identify insights.
One example is when BenevolentAI, a global leader in the development and application of artificial intelligence for drug discovery, took just few days to find that Baricitinib (a drug currently approved for rheumatoid arthritis, owned by Eli Lilly) is a strongest candidate and can be a potential treatment for COVID-19 patients.
This accelerated the clinical trials of #Baricitinib and Eli Lilly (a giant American Pharmaceutical company) has already commenced phase III clinical trials of Baricitinib to treat COVID-19.
Few more names include Deepmind, ImmunoPrecise, Insilico, healx, Imperial College, Tech Mahindra, and Deargen. Some Indian companies include NIRAMAI, Staqu, Qure.AI, Tech Mahindra, and DiyCam.
Digital technology and COVID-19
The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak.
Daniel Shu Wei Ting, Lawrence Carin, Victor Dzau and Tien Y. Wong, publicado en Nature Medicine.
AI, Machine Learning Playing Important Role In Fighting COVID-19 OpenTeQ group
This is example of research at the Radiological Society of North America. Highlighting the point out this phenomenon- that some of the patients are falling ill and dying as some others are experiencing very mild symptoms are none at all is the most mysterious element of the disease. Mortality is one of the correlations with some of the major factors like age, gender, and other major chronic conditions. Hence, more factors can be prognostic as the young individuals have succumbed to the virus.
Can biometrics help to identify asymptomatic COVID-19 patients_- Bahaa Abdul ...Bahaa Abdulhadi
Bahaa Abdul Hadi is an Identity Management expert and regularly shares his experiences with his audience through his blogs.
While scientists are busy developing coronavirus vaccines, biotech firms think there might a better preventive solution. The question on their mind is: can biometrics detect Covid-19 in asymptomatic patients. Most Covid-19 patients do not show any prominent symptoms.
The first section of Part III will cover the most immediate healthcare response - which is to test and diagnose patients for COVID-19, to get a clear picture on the extent of the spread of infection. It also covers the current technologies used in diagnostics: RT-PCR, LAMP, Lateral Flow and ELISA. It would also highlight key companies and comparison of the technologies involved.
Digital Health Market has exploded in the last few years. Will that continue? What are the main areas of growth in digital days and what the future will bring us.
Startups Step Up - how healthcare ai startups are taking action during covid-...Renee Yao
All around the world, people are facing unprecedented challenges and uncertainties as a result of COVID-19. At NVIDIA Inception program, a virtual incubation startup program, which hosts 5000+ AI startups, we see an army of healthcare AI startups that have mobilized to address this global health crisis. This webinar will share real world examples on how each offering plays a critical role during this pandemic.
Live event: https://www.meetup.com/Women-in-Big-Data-Meetup/events/270191555/?action=rsvp&response=3.
YouTube Link: https://www.youtube.com/watch?v=QWkKINi8u4o&feature=youtu.be
Decision Support System for clinical practice created on the basis of the Un...blejyants
The company Socmedica developing an expert system of decision support for medical information systems. The product is aimed at solving the problem of medical errors.
Similar to 8 advantages of ai to fight coronavirus venkat k - medium (20)
Role of ai in mobile application development venkat k - mediumusmsystem
Artificial intelligence, as a new technology field has already gained tremendous momentum and popularity across all the digital niches. From the conversational chatbots to data analytics to the user experience design, AI is now being used for an array of niche purposes.
Top 3 improvements that made by ai in logistics venkat k - mediumusmsystem
There’s no other way to describe it: Artificial Intelligence (AI) is revolutionizing the world of logistics. That may seem like a cliché, or hype, or buzz, but it is true.
The tech is fundamentally changing the way packages move around the world, from predictive analytics to autonomous vehicles and robotics. Here are the top five ways in which Artificial Intelligence is transforming the logistics industry as we know it:
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Traffic signals work with artificial intelligence venkat k - mediumusmsystem
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As cyber threats become more exceptional with each passing year, so should the technologies that businesses achieve to advance cybersecurity and prevent cyberattacks and data exposures.
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“Artificial intelligence (AI)” is fast becoming a competitive tool in business. Companies have been discussing the pros and cons of AI in the past. From enhanced chatbots to customer service to data analytics to recommendations, deep learning and artificial intelligence are seen as an important tool for business leaders in their many forms.
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Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
8 advantages of ai to fight coronavirus venkat k - medium
1. 4/20/2020 8 Advantages of AI to fight coronavirus - venkat k - Medium
https://medium.com/@venkat34.k/8-advantages-of-ai-to-fight-coronavirus-48d925cd24e3 1/3
8 Advantages of AI to ght coronavirus
venkat k
Apr 20 · 2 min read
Here are eight ways where clinics can use AI to fight COVID-19, according to statistics
1. Examining the people who may get infected:
Cleveland Clinic has developed its chatbot that is intended to screen patients before
their appointment to decide if they may have been affected.
2. Identify high-risk patients for doctors to reach out to:
Anyone can publish on Medium per our Policies, but we don’t fact-check every story.
For more info about the coronavirus, see cdc.gov.
2. 4/20/2020 8 Advantages of AI to fight coronavirus - venkat k - Medium
https://medium.com/@venkat34.k/8-advantages-of-ai-to-fight-coronavirus-48d925cd24e3 2/3
Algorithms can be adopted based on patient data to proactively identification patients at
the highest risk of getting COVID-19.
3. Identify COVID-19 and separate from other respiratory diseases:
Because COVID-19 has symptoms related to other respiratory diseases, AI models can be
developed to recognize COVID-19 based on chest scans.
4. Predict which COVID-19 patients will decline:
Scientists at New York University, Columbia University and two hospitals in Wenzhou,
China, built an algorithm that identifies if victims will develop acute respiratory distress
syndrome. Other AI models are developed to identify patients who will need to be
shifted to the intensive care.
Also Read: AI Advantages & Challenges In Corona Virus Era
5. Track hospital beds and supplies:
Aware of supply shortages, AI can be a great medium to manage when a hospital will run
out of beds, ventilators, and other sources.
6. Tracking victims outside the hospital:
Rochester, Minn.-based Mayo Clinic and Pittsburgh-based UPMC are working with the
producer of a digital stethoscope and mobile EKG technology. When patients are
discharged to home, the technology can signal dangerous heart rhythm irregularities
and COVID-19 symptoms.
7. Detecting high temperatures and prevent sick people from going into public
spaces:
Temperature devices that are powered by AI can be utilized to remotely detect patients
with illnesses. Tampa (Fla.) General Hospital is using thermal-screening face cameras to
identify fevers, sweating, and stain.
8. Standard responses to innovative treatment:
3. 4/20/2020 8 Advantages of AI to fight coronavirus - venkat k - Medium
https://medium.com/@venkat34.k/8-advantages-of-ai-to-fight-coronavirus-48d925cd24e3 3/3
An AI model could be prepared to analyze lung scans of victims filed in different COVID-
19 clinical trials.
Also Read: How the Coronavirus epidemic will effect AI innovation in the insurance
sector
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