Computer vision, in its most basic sense, is trying to make the machine do what the human brain can do with vision. That's why we call it artificial vision. Its most basic task is to recognize objects. Recognizing and grouping objects. The aim is to make sense of the content of digital images.
Artificial intelligence is illuminating the way to protect animal species by providing good data on what is happening to wildlife. AI gives a comprehensive view of the planet's biodiversity and assists in the formulation of conservation policy.
AI in Healthcare: From Hype to Impact (updated)Mei Chen, PhD
The primary goal of this workshop is to help health professionals gain a critical understanding of the various types of AI technologies available so they can make wise decisions and invest AI for healthcare improvement.
Booz Allen Hamilton created the Field Guide to Data Science to help organizations and missions understand how to make use of data as a resource. The Second Edition of the Field Guide, updated with new features and content, delivers our latest insights in a fast-changing field. http://bit.ly/1O78U42
Computational Disease Management with Wearable DevicesPetteriTeikariPhD
Machine Learning modelling of disease trajectory with deep
learning and/or Gaussian Processes.
Alternative download link:
https://www.dropbox.com/s/jg73ymvkenx8rv4/computational_disease_management.pdf?dl=0
Core Solutions President Ravi Ganesan along with co-presenter Adam Bauer, Senior Manager at Deloitte, recently spoke about the importance of establishing effective data collection and evaluation processes to better support today’s healthcare organizations. This SlideShare consists of that presentation, which included:
The use of the Digital Transformation Framework
The role of IoT in deciphering automated data
The clinical tools used to demonstrate data value
The implications of visual perception in sharing data
Artificial intelligence is illuminating the way to protect animal species by providing good data on what is happening to wildlife. AI gives a comprehensive view of the planet's biodiversity and assists in the formulation of conservation policy.
AI in Healthcare: From Hype to Impact (updated)Mei Chen, PhD
The primary goal of this workshop is to help health professionals gain a critical understanding of the various types of AI technologies available so they can make wise decisions and invest AI for healthcare improvement.
Booz Allen Hamilton created the Field Guide to Data Science to help organizations and missions understand how to make use of data as a resource. The Second Edition of the Field Guide, updated with new features and content, delivers our latest insights in a fast-changing field. http://bit.ly/1O78U42
Computational Disease Management with Wearable DevicesPetteriTeikariPhD
Machine Learning modelling of disease trajectory with deep
learning and/or Gaussian Processes.
Alternative download link:
https://www.dropbox.com/s/jg73ymvkenx8rv4/computational_disease_management.pdf?dl=0
Core Solutions President Ravi Ganesan along with co-presenter Adam Bauer, Senior Manager at Deloitte, recently spoke about the importance of establishing effective data collection and evaluation processes to better support today’s healthcare organizations. This SlideShare consists of that presentation, which included:
The use of the Digital Transformation Framework
The role of IoT in deciphering automated data
The clinical tools used to demonstrate data value
The implications of visual perception in sharing data
5 Powerful Real World Examples Of How AI Is Being Used In HealthcareBernard Marr
Healthcare can be transformed with the innovation and insights of artificial intelligence and machine learning. From robot-assisted surgery to virtual nursing assistants, diagnosing conditions, facilitating workflow and analyzing images, AI and machines can help improve outcomes for patients and lower costs for providers.
Bio IT World 2019 - AI For Healthcare - Simon Taylor, LucidworksLucidworks
Presentation from Bio IT World, Boston | April 16-18, 2019
Track: AI for Healthcare: Practical Application of AI in Clinical Healthcare
Session Title: To AI or Not to AI, That Is the Question
Speaker: Simon Taylor, Lucidworks
Augmented reality, the new age technology, has widespread applications in every field imaginable. This technology has proven to be an inflection point in numerous verticals, improving lives and improving performance. In this paper, we explore the various possible applications of Augmented Reality (AR) in the field of Medicine. The objective of using AR in medicine or generally in any field is the fact that, AR helps in motivating the user, making sessions interactive and assist in faster learning. In this paper, we discuss about the applicability of AR in the field of medical diagnosis. Augmented reality technology reinforces remote collaboration, allowing doctors to diagnose patients from a different locality. Additionally, we believe that a much more pronounced effect can be achieved by bringing together the cutting edge technology of AR and the lifesaving field of Medical sciences. AR is a mechanism that could be applied in the learning process too. Similarly, virtual reality could be used in the field where more of practical experience is needed such as driving, sports, neonatal care training.
* Artificial Intelligence can revolutionize customer engagement
* Treat the patient journey, not just the stops along the way
* Operating model: “industrialized digital”
The Future of Artificial Intelligence and Quality Management in Hospitals By....Healthcare consultant
The medical device industry has noticed this factor and uses it to save lives. Artificial intelligence (AI) in the life sciences industry is capable of more than one could imagine and it’s changing the future. For example, one organization is creating AI-based voice robot technology, which, according to an article in Management Matters Network, will deliver custom prescriptive advice to managers using strengths and performance data to help better coach and engage employees.
Automated audit management has served as a great source of information to delve deeper into data with predictive intelligence regarding safety and compliance. Leading safety metrics provide:
• Total number of noncompliances
• Number of near-misses enabling investigation to prevent potential incidents
• The time it takes to complete post-audit corrective and preventive actions
• Easy-to-view previous findings for corrective action launches and findings
• Automated audit management software that centralizes all risk items and allows users to automatically assess them and generate reports quickly to pinpoint high-risk gaps that may otherwise go unnoticed
"Challenges for AI in Healthcare" - Peter Graven Ph.DGrid Dynamics
Dynamic Talks Portland: The use of AI in many industries has revolutionized operations and efficiency. In healthcare, the progress is just beginning. Despite the promise of AI, why has the development lagged other industries? What issues are unique to healthcare that create challenges for common approaches? How can data scientists overcome these challenges and deliver on the promise of using data to reach multiple goals of improved quality, decreased cost, and greater patient satisfaction?
Cutting Edge Predictive Analytics with Eric Siegel Databricks
Apache Spark empowers predictive analytics and machine learning by increasing the reach and potential. But, before jumping to new deployments, it’s critical we 1) get the analytics right and 2) not overlook less conspicuous business opportunities. In this keynote, Predictive Analytics World founder and “Predictive Analytics” author Eric Siegel ramps you up on a dangerous pitfall and a critical value proposition:
– PITFALL: Avoiding BS predictive insights, i.e., “bad science,” spurious discoveries
– OPPORTUNITY: Optimizing marketing persuasion by predicting the *influence* of marketing treatments, i.e., uplift modeling
The role we play as creators - A designer's take on AIGiuseppe de Cesare
There is a growing interest in AI, but the field is understood only by a few, often by technicians. What’s our involvement as designers? What do we know about these new disruptive technologies? Often we know little. This talk will unveil benefits and pitfalls of AI through concrete cases offering designers a framework for understanding. It will introduce a toolkit of ethical principles, that will make you reflect upon the potential of AI to change what is our conventional understanding of a product or a service. Design is about developing a higher awareness of the role we play as creators and builders.
How artificial intelligence(AI) will change the world in 2021kalyanit6
From smartphones to chatbots, Artificial intelligence is already pervasive in our digital lives. You may not know it yet. The moment behind AI is capturing, thanks to the huge amount of data that computers can collect every day about our likes, our purchases, and our movements. And experts in Artificial Intelligence Research to train or hate to learn how to train and ICT hint what we need to do to train machines.
Ai idea to implementation : Use cases in Healthcare Swathi Young
AI and machine learning are transformative technologies that have the potential to disrupt status quo, enhance innovation, and reduce operational costs in organizations. This presentation provides a high level overview of the important steps to consider when implementing an AI system along with use cases in the healthcare sector.
Diginomica 2019 2020 not ai neil raden article links and captionsNeil Raden
The balance of my articles on Diginomica 2019-2020other than AI: HPC/Supercomputers, Quantum, Cognitive, Complexity, Supply Chain, IoT, Edge Intelligence, Data, Telemedicine, healthcare Industry, For Good
Artificial intelligence in health care by Islam salama " Saimo#BoOm "Dr-Islam Salama
A Lecture about basics and concepts of Artificial Intelligence in health care & there applications
محاضرة عامة حول الذكاء الإصطناعي وأساسياته في الرعاية الصحية والطبية وتطبيقاته
Artificial intelligence (AI) is already transforming healthcare. It's an invaluable tool, capable of storing and processing vast amounts of data almost simultaneously. AI allows for rapid and accurate diagnosis, early detection, advanced research and much more.
An enormous amount of valuable data is out there -- waiting to be transformed into mission-driving insights. But to excavate those insights, we must first assemble the right data science team.
5 Powerful Real World Examples Of How AI Is Being Used In HealthcareBernard Marr
Healthcare can be transformed with the innovation and insights of artificial intelligence and machine learning. From robot-assisted surgery to virtual nursing assistants, diagnosing conditions, facilitating workflow and analyzing images, AI and machines can help improve outcomes for patients and lower costs for providers.
Bio IT World 2019 - AI For Healthcare - Simon Taylor, LucidworksLucidworks
Presentation from Bio IT World, Boston | April 16-18, 2019
Track: AI for Healthcare: Practical Application of AI in Clinical Healthcare
Session Title: To AI or Not to AI, That Is the Question
Speaker: Simon Taylor, Lucidworks
Augmented reality, the new age technology, has widespread applications in every field imaginable. This technology has proven to be an inflection point in numerous verticals, improving lives and improving performance. In this paper, we explore the various possible applications of Augmented Reality (AR) in the field of Medicine. The objective of using AR in medicine or generally in any field is the fact that, AR helps in motivating the user, making sessions interactive and assist in faster learning. In this paper, we discuss about the applicability of AR in the field of medical diagnosis. Augmented reality technology reinforces remote collaboration, allowing doctors to diagnose patients from a different locality. Additionally, we believe that a much more pronounced effect can be achieved by bringing together the cutting edge technology of AR and the lifesaving field of Medical sciences. AR is a mechanism that could be applied in the learning process too. Similarly, virtual reality could be used in the field where more of practical experience is needed such as driving, sports, neonatal care training.
* Artificial Intelligence can revolutionize customer engagement
* Treat the patient journey, not just the stops along the way
* Operating model: “industrialized digital”
The Future of Artificial Intelligence and Quality Management in Hospitals By....Healthcare consultant
The medical device industry has noticed this factor and uses it to save lives. Artificial intelligence (AI) in the life sciences industry is capable of more than one could imagine and it’s changing the future. For example, one organization is creating AI-based voice robot technology, which, according to an article in Management Matters Network, will deliver custom prescriptive advice to managers using strengths and performance data to help better coach and engage employees.
Automated audit management has served as a great source of information to delve deeper into data with predictive intelligence regarding safety and compliance. Leading safety metrics provide:
• Total number of noncompliances
• Number of near-misses enabling investigation to prevent potential incidents
• The time it takes to complete post-audit corrective and preventive actions
• Easy-to-view previous findings for corrective action launches and findings
• Automated audit management software that centralizes all risk items and allows users to automatically assess them and generate reports quickly to pinpoint high-risk gaps that may otherwise go unnoticed
"Challenges for AI in Healthcare" - Peter Graven Ph.DGrid Dynamics
Dynamic Talks Portland: The use of AI in many industries has revolutionized operations and efficiency. In healthcare, the progress is just beginning. Despite the promise of AI, why has the development lagged other industries? What issues are unique to healthcare that create challenges for common approaches? How can data scientists overcome these challenges and deliver on the promise of using data to reach multiple goals of improved quality, decreased cost, and greater patient satisfaction?
Cutting Edge Predictive Analytics with Eric Siegel Databricks
Apache Spark empowers predictive analytics and machine learning by increasing the reach and potential. But, before jumping to new deployments, it’s critical we 1) get the analytics right and 2) not overlook less conspicuous business opportunities. In this keynote, Predictive Analytics World founder and “Predictive Analytics” author Eric Siegel ramps you up on a dangerous pitfall and a critical value proposition:
– PITFALL: Avoiding BS predictive insights, i.e., “bad science,” spurious discoveries
– OPPORTUNITY: Optimizing marketing persuasion by predicting the *influence* of marketing treatments, i.e., uplift modeling
The role we play as creators - A designer's take on AIGiuseppe de Cesare
There is a growing interest in AI, but the field is understood only by a few, often by technicians. What’s our involvement as designers? What do we know about these new disruptive technologies? Often we know little. This talk will unveil benefits and pitfalls of AI through concrete cases offering designers a framework for understanding. It will introduce a toolkit of ethical principles, that will make you reflect upon the potential of AI to change what is our conventional understanding of a product or a service. Design is about developing a higher awareness of the role we play as creators and builders.
How artificial intelligence(AI) will change the world in 2021kalyanit6
From smartphones to chatbots, Artificial intelligence is already pervasive in our digital lives. You may not know it yet. The moment behind AI is capturing, thanks to the huge amount of data that computers can collect every day about our likes, our purchases, and our movements. And experts in Artificial Intelligence Research to train or hate to learn how to train and ICT hint what we need to do to train machines.
Ai idea to implementation : Use cases in Healthcare Swathi Young
AI and machine learning are transformative technologies that have the potential to disrupt status quo, enhance innovation, and reduce operational costs in organizations. This presentation provides a high level overview of the important steps to consider when implementing an AI system along with use cases in the healthcare sector.
Diginomica 2019 2020 not ai neil raden article links and captionsNeil Raden
The balance of my articles on Diginomica 2019-2020other than AI: HPC/Supercomputers, Quantum, Cognitive, Complexity, Supply Chain, IoT, Edge Intelligence, Data, Telemedicine, healthcare Industry, For Good
Artificial intelligence in health care by Islam salama " Saimo#BoOm "Dr-Islam Salama
A Lecture about basics and concepts of Artificial Intelligence in health care & there applications
محاضرة عامة حول الذكاء الإصطناعي وأساسياته في الرعاية الصحية والطبية وتطبيقاته
Artificial intelligence (AI) is already transforming healthcare. It's an invaluable tool, capable of storing and processing vast amounts of data almost simultaneously. AI allows for rapid and accurate diagnosis, early detection, advanced research and much more.
An enormous amount of valuable data is out there -- waiting to be transformed into mission-driving insights. But to excavate those insights, we must first assemble the right data science team.
Machine vision (MV) is the technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance, usually in industry. Machine vision is a term encompassing a large number of technologies, software and hardware products, integrated systems, actions, methods, and expertise.
Machine vision (MV) is the technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance, usually in industry. Machine vision is a term encompassing a large number of technologies, software and hardware products, integrated systems, actions, methods, and expertise.
Artificial Intelligence (AI) -> understanding what it is & how you can use it...Adela VILLANUEVA
The goal of this presentation is to provide you with a basic understanding of AI and to prepare you to think about how your organization might apply it.
Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.”
Integration of Machine Learning in attendance and payrollAkshat Gupta
Anisha Kundu (Author) & Akshat Gupta (Co-Author)
In recent times, machine learning has become one of the key aspects of data handling. After years of research by the scientists, neuroscientists, and psychologists, numerous feasible technologies are available; some credit may go to the commercial and law enforcement applications as well. This paper proposes a technique for biometric recognition, which analyzes the geometry of the hand to find and isolate the vein patterns from near-infrared palm and wrist images and extract features based on repeated line tracking algorithm and maximum curvature algorithm.
i
IMAGE RECOGNITION
Image recognition
Robert Vasquez
Clark College
ii
IMAGE RECOGNITION
Letter of transmittal
Mr. Tobias Peterson,
In is my report, “Image recognition,” one of the challenges I met while writing this report was
finding suitable articles and research about different systems used in image recognition. Most of
the research I could conduct concerns the current use of face recognition and the future of the
technology that is already in existence. In my case, I think that image recognition is widely used
for security purposes. I had plenty of time to work ahead and start the research for the report on
image recognition.
What I learned in response to each of the learning outcomes:
a) Locate, evaluate and integrate credible research into a written document for a specific
purpose and work-world audience.
I learned the significance of get-together specific evidence from the text when I am
including it in a report document. For example, when pointing out on my ideas, I need to
include a summary from the original source and cite it to support the ideas.
b) Apply appropriate formatting and visual aids for a specific purpose and work-world
audience.
I learned how to use reference of visual aids in the writing. I didn’t think that was
necessary in writing because visual aids generally have a description.
c) Edit for accuracy, brevity, clarity, to write and ethical document with a specific purpose
and work-world audience.
This was the most used learning target because it will help you come off as a better writer
and won't make your audience guess your intentions. Being clear and concise leads to
less misunderstanding.
d) Contribute successfully to a group in the creation of work-world documents.
It is significant to communicate with team members to have a document that includes all
its necessary information.
I believe this lesson will be most helpful to me in my future studies and career because it
involves a procedure in individual research and findings. This class has made me become aware
of who I am writing to and their knowledge about my topic. Usually I assume someone is
reading my work because they already know what I am writing about. This is because the
instructions to be followed by in the research were from the instructor. Therefore they had a
strong background in that topic. Each learning outcome had significance regarding the
assignment it corresponded to. Every assignment this quarter included the learning outcome to
edit for brevity and to write an ethical document. I believe this would not be an effective class if
that particular learning outcome wasn’t the primary focus. In the beginning of this quarter I
learned what it meant to be a technical writer, and the said learning outcome is a shortened
version of how to be a writer. Being able to integrate credible research into a written document is
also very helpful in writing the final report. Giving your audience solid ...
Attendance management system using face recognitionIAESIJAI
Traditional attendance systems consist of registers marked by teachers, leading to human error and a lot of maintenance. Time consumption is a key point in this system. We wanted to revolutionize the digital tools available in today's time i.e., facial recognition. This project has revolutionized to overcome the problems of the traditional system. Face recognition and marking the present is our project. A database of all students in the class is kept in single folder, and attendance is marked if each student's face matches with one of the stored faces. Otherwise, the face is ignored and not marked for attendance. In our project, face detection (machine learning) is used.
With businesses now accelerating their goal to becoming a whole cloud-native interface in the
coming years, with a ground cloud-based disaster recovery strategy, they must also be embedded
within their management plans. Otherwise, every business risks losing vital data and having
its systems, operations, and services shut down by natural and artificial disasters, hardware
failures, power outages, and security risks.
5 Pillars Of Effective Data Management In Modern Data Systems.pdfaNumak & Company
Due to low data allocations, many business organizations have lost their basic and essential customer relationship details due to defrauding and insecure data compliance.
All organizations must possess a reliable data source for their better functionality and vast workflow in transparency and effective relationships with customers and business partners. Else, they might lose their value.
How CFOs Are Helping Corporations Integrate ESG Into Their Business Strategie...aNumak & Company
Many high executives have not yet incorporated ESG reporting in their annual
reports and businesses, while others have just started to do so. While many companies made
no commitments, they struggled to deliver perfect reporting in all their involvements. To redefine
your organization’s ESG goal and scrutiny purposes, engaging with the CFOs strategic plans
for flourishing business growth is essential.
Impact Of Industry 4.0 Technologies On Business Development And Management.pdfaNumak & Company
Once the industry 4.0 techniques are well adopted in business, it is usually challenging to dissolve
because the organs won’t, for its effectiveness, cost reduction, and most especially, business
transformation. Heads of businesses must intricate the technical tools to ensure that they
adhere to their tunes regardless of their business size, ethics, or environment. Nevertheless, a
significant revolution must be adopted for business growth.
The Future Of Smart Technology And Its Effect On Business performance.pdfaNumak & Company
They say that being a top-notch is the head; for businesses to remain at the top of their industry,
management has to strictly adhere to the rule of the intelligent technology system to dearly embrace
the development and technological advancement that it would bring to their businesses.
Nonetheless, the head of business and operations needs to ensure that all responsibilities are
adequately shared among workers/employees, so it doesn’t hinder the growth of possessions in
the industry. As long as we all live for a specific reason, on an unknown journey whereby you
have to figure it out yourself, innovative technology will always live because it focuses on the
future.
Collaboration between humans and robots does not necessarily imply that humans are undervalued; on the contrary, it ensures excellent production and efficiency in the long run.
As a critical trend to assure high productivity and efficiency, the Industry 5.0 revolution applies to various industries, including banking, health, agriculture, and many others. It is practical for many industries to embrace Industry 5.0 as a continuity of the fourth industrial revolution to operate on high technological innovation to offer the best possible customer experience and better working conditions.
Importance Of The Dignity Of Compliance Risk In Organizations.pdfaNumak & Company
Many companies will lose their focus if management does not indulge in risk compliance because the primary goal of risk compliance is to ensure that no company or organization goes beyond its code of conduct. Thus, businesses must refrain from outbound resources for the existing ones to grow. Nonetheless, companies now initially add the risk management function to their team for cross sections and internal and external compliance, which seems to be the best means to aggregate and wave failure.
Corporate development plays a huge role in next-generation software development, especially in organizations. The management can make decisions that either incorporate the advancements and place the company at an advantage or experience a new phase of software development and miss out. The next-generation software development in organizations is primarily affected by these decisions, and progress can be hindered in that organization.
Getting Through the Fear Factor When Hiring Tech Talents.pdfaNumak & Company
The more profound constraint is a further factor in making a perfect selection when hunting for tech talents. While recruiters are focused and determined on hiring competent candidates for vacant spaces, they should also consider reducing strictness in the process, for example, the years of experience and compulsory finished education level. Since the American survey tells that most candidates' educational backgrounds are not in-line with their experience because they acquire knowledge of other skills while holding a post.
Perhaps, since these candidates are well experienced, they should be considered, while employers cut down a little to test their knowledge.
Rebuilding social capital and improving business performance.pdfaNumak & Company
Now more than ever, social connections are required to improve business performance, especially in a post-pandemic environment. Unfortunately, since the onset of COVID-19, there have been fewer opportunities to create social connections. However, if organizations can encourage work sharing, motivate casual relationships, and promote social opportunities outside the workplace, it will lead to a strong sense of social capital. This, in turn, will improve business performance by ensuring a greater level of trust, networking, and stronger relationships.
How Advanced Connectivity__ affects the prospects of the market trends today.pdfaNumak & Company
Numerous studies have been conducted on 5G/6G wireless
networks, drones and urban air mobility connectivity, autonomous vehicle systems, security and
cyberattacks, artificial intelligence, and smart grid technology to encourage effective internet
connectivity worldwide. The collaboration and integration of different products with advanced
connectivity serve the consumer highly flexible user experience.
How Praise And recognition affect bottom line.pdfaNumak & Company
Praise and recognition help employees do better. The employees strive for more and take the organization to the next level. Their dedication and commitment double hence increasing the profit of the organization. This gives the organization more visibility as regards its business niche. The employees develop a sense of loyalty to the organization and go the extra mile, increasing profit.
A toxic workplace significantly impacts job productivity and increases the job burnout level of employees. When employees feel pessimistic about organizations, their productivity level is compromised. This can affect the organization’s performance significantly. Toxic workplace behavior harms employees and the organization in the long run. To a large extent, the performance of an organization is proportional to the thriving work environment in which its employees are placed.
How To Build Mentally Resilience Workforce for An Organization.pdfaNumak & Company
Lately, resilience has shown to be a significant factor in creating a skilled and workforce through consistency. In addition, it helps employees upgrade their skills. Perhaps, this is not a day job, which is why it is locked up in character.
FUTURE OF RETAIL WILL LOOK LIKE WHAT'S HAPPENED IN THE MUSIC INDUSTRY.pdfaNumak & Company
One similarity between the changes that have occurred in the music industry and the changes
still ongoing in retail is TECHNOLOGY.
With every improvement in technology, the music industry boomed as it adjusted. So far, with
every revision, retail has taken advantage and is already rising.
Technology has constantly been a game changer in the music industry. Could that be doing the
same for the retail sector, seeing that it is towing the same path that the music industry did?
Is retail going to experience the same boom as the music industry, seeing that the technological
advancement processes are somewhat similar?
Localization of data privacy laws creates opportunities for competition.pdfaNumak & Company
Each of the opportunities discussed above helps to boost competition within the country in
which data is stored as well as throughout the world. A country that protects data localization
strategies indirectly contributes to that country’s overall competitiveness in digital industries.
While data localization has its challenges, organizations that can balance data protection
through innovation are well-positioned to capitalize on consumer demands for personalized
data storage, job creation and incentivized benefits for employees, growth of local digital industries,
accelerated data sharing, and reputational advantage.
The ultimate benefit of data localization is that it enables control over personal and financial
information. Therefore, the localization of data privacy carries the potential for safeguarding
the country’s national and international economic interests while allowing local organizations to
gain a competitive advantage.
How a Revamped Data Analytics Approach Can Mitigate Healthcare Disparities.pdfaNumak & Company
The healthcare industry has learned an unwelcome lesson because of the COVID-19 outbreak.
In addition to putting a significant load on the healthcare system, it has helped us understand
how crucial it is to update data to lessen healthcare inequity. Therefore, selecting the ideal
healthcare analytics consulting partner is essential if we want to advance long-term equity in
healthcare and eliminate bias from the data.
Effects of High Inflation on Private Equity Performance in Business.pdfaNumak & Company
Inflation is the rate of change in prices. Rising inflation means you have to pay more for the same goods and services. This can help you in the form of income inflation or asset inflation, such as in housing or stocks, if you own the assets before prices rise, but if your income doesn’t keep pace with inflation, your buying power declines. Over time, inflation increases your cost of living. If the inflation rate is high enough, it hurts the economy.
The effect depends on the type of inflation. For example, walking inflation is 3% to 10% per year. Creeping inflation is milder than walking inflation while running inflation implies a more aggressive rise in prices that could be a precursor to hyperinflation.1
Rising prices may be an indication of an economy growing very fast. People buy more than they need to avoid tomorrow's higher prices fuels demand for goods and services. Suppliers can't keep up. More importantly, neither can wages. As a result, everyday goods and services are priced out of most people's reach.
How Low-code Can Help Businesses Automate IoT In Their Business.pdfaNumak & Company
IoT comes with several challenges but once generated, it becomes more amplifying in order. Low code platforms also can amplify work done by developers.
Realizing that low code is a trail to grasping the significant possibilities is very important. Especially businesses owner owners who believe IoT is out-of-reach as a result of data complexity.
IT professionals are meant to maintain tech operations to bridge technical debt that may devour IT projects. However, it is to avoid increasing pressure and automate a streamlined workflow, which requires time, and investment resources to create an adequate system.
How the CEO's visionary leadership can tip the scales in favor of success in ...aNumak & Company
Technological evolution plays a significant role in the leadership and management of business organizations worldwide. Many companies are coping with the digital age to ensure
they can successfully participate and compete in the global market. Usually, the ultimate
responsibility of the CEO is to manage a company’s overall operations and implement longterm strategies to help the company to thrive. According to research, close to half of the total
performance of an organization is determined by the CEO, and they must recognize and utilize
workable instruments for the growth and development of the company. Embracing digital transition as a long-term core vision by the company’s top leadership in this age is paramount to
building a stable business ecosystem.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
2. Computer Vision tries to understand and automate the tasks of the Human
Visual System.
Computer Vision tasks include acquiring, processing, analyzing, for example, in decision
forms. Understanding in this context means transforming visual images (the input from the reti-
na) into descriptions of the world that give meaning to thought processes and elicit appropriate
action. This image understanding can be seen as decoding symbolic information from image
data using models created.
Scientific teaching is concerned with the theory behind the extract
information from images that Computer Vision is in artificial systems.
Sub–fields of Computer Vision include scene reconstruction, event detection, video monitor-
ing, object recognition, 3D pose estimation, learning, indexing, motion estimation, visual servo
rendering, 3D scene modeling, and image restoration.
The next decade saw work based on more rigorous mathematical analysis and quantitative
aspects of Computer Vision. These include the concept of scale–space shape extraction. The re-
searchers also realized that many mathematical concepts could be handled within the same op-
timization framework as regularization and Markov random fields. In the 1990s, some previous
research topics became more active than others. Projective 3–D reconstruction research has led
to a notice that many ideas were explored in beam tuning theory from the field of photogram-
metry. This led to plans for sparse 3D reconstruction of scenes from multiple images. Progress
has been made in the dense stereo fidelity problem and more multi–image stereo techniques. At
the same time, variations of graph segmentation were used to solve image segmentation. This
decade also marks the first time that statistical learning techniques are used in practice to recog-
nize faces in images.
Recent work has seen a resurgence of feature–based methods used with Machine Learning
(ML) techniques and complex optimization frameworks.
anumak.ai
3. In addition, the advancement of Deep Learning techniques has brought more
life to computer vision. The accuracy of Deep Learning Algorithms on various
comparative Computer Vision datasets for multiple tasks such as classifica-
tion, segmentation, and optical flow has outstripped previous methods.
Computer Vision Systems, which are designed with inspiration from human vision and
benefit from the superiority of computers in data storage, processing, and imaging, are used in
many fields.
Thanks to Computer Vision, one of the sub–titles of Artificial Intelligence (AI), systems that
can detect and identify objects around us through digital cameras are being developed.
In the 1950s, eye–tracking technology was also used in the military field. For example, it
was investigated how often and in what order the fighter pilots looked at the indicators in the
cockpit during various maneuvers to prevent accidents caused by pilot error.
Today, while autonomous vehicles follow a predetermined route, they can
detect the obstacles they may encounter with Computer Vision, quickly deter-
mine an alternative way and reach their destination safely.
Augmented Reality (AR) glasses placed on helicopter pilots’ helmets enable the pilot to
more easily identify objects beyond the field of view and access flight information through
glasses, thanks to this method.
Today, Eye–Tracking Technology uses are closer to daily life, such as
advertising and education.Less tiring systems are being developed
for our perception with Eye–Tracking Technology.
anumak.ai
4. Dr. Bektas is working on the more efficient display of digital aerial photographs with the
help of Eye–Tracking Technology and the role in human–machine interaction at the University of
Zurich.
Dr. Bektas who works on Eye–Tracking Technology equipment that can instantly detect
where people are looking, says, “The human eye is constantly in motion. When our eyes focus
on a fixed point during this movement, they perceive a high level of visual detail. Outside this
point, they perceive a lower degree of detail.”
“If we can instantly detect the places we are not looking at on a digital screen, we do not
need to use high resolution in those parts of the screen,” said. Dr. Bektas said, “Systems that
are sensitive to the focusing point of the eye benefit from Eye–Tracking Technology. Thus, they
visualize the areas that we do not look at on the screen in blue.”
We can enable users to work more efficiently at the screen.
Saying that this method allows the user to notice details that escape their attention, Dr. Bek-
tas shares the following information about this technique:
With Eye–Tracking Technology, we can track where someone is looking at, and in some
cases enable users to work more efficiently on the screen. As a result of our experiments
have reached findings that support this claim as a result of our experiments. For example,
we asked the people who participated in our experiments to examine dozens of aerial pho
tographs in high resolution and detail and the presence and location of various objects
in those photographs. We found that participants could find the objects they were looking
for more quickly when we reduced the details in the places they weren’t looking.
anumak.ai
5. Solutions can be offered to facilitate the daily activities of
individuals with reading difficulties and attention deficits.
We can detect the change in the eye movements of machine
operators and enable them to work more efficiently.
Tagging products will end with computer vision, digital production,
and Deep Learning Methods.
We can distinguish counterfeit products from each
other using a phone camera.
Thanks to Eye–Tracking Systems, we can detect where a person is focusing.
The areas most closely related to computer vision are image processing, image analysis,
and machine vision. There is considerable overlap between the various techniques and appli-
cations they cover. This implies that the basic techniques used and developed in these fields are
similar, which can be interpreted as just one field with different names.
On the other hand, it seems necessary for research groups, scientific journals, conferences,
and companies to present or market themselves specifically to one of these fields. So there have
been various characterizations that distinguish each field from the others.
anumak.ai