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.
Artificial intelligence : Basics and application in AgricultureAditi Chourasia
Agriculture is the mainstay of Indian economy as about 60% of our population depends directly or indirectly on agriculture.Exploration of technology in digital world gave birth to a whole new field of making intelligent machines i.e. Artificial intelligence (AI). AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, AI is steadily emerging as part of the Agricultural industry’s technological evolution. The automation in agriculture is the main concern and the emerging subject across the world. AI in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.Technological advancement in the future will provide more useful applications to the sector helping the world deal with various farming challenges used to be faced in traditional agricultural practices.
Artificial intelligence : Basics and application in AgricultureAditi Chourasia
Agriculture is the mainstay of Indian economy as about 60% of our population depends directly or indirectly on agriculture.Exploration of technology in digital world gave birth to a whole new field of making intelligent machines i.e. Artificial intelligence (AI). AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, AI is steadily emerging as part of the Agricultural industry’s technological evolution. The automation in agriculture is the main concern and the emerging subject across the world. AI in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.Technological advancement in the future will provide more useful applications to the sector helping the world deal with various farming challenges used to be faced in traditional agricultural practices.
Intellectual property scheme for startups in indiaIntepat IP
The primary objective of the SIPP scheme is to promote awareness and the adoption of IPRs among start-ups. The scheme is exclusively designed to nurture emerging technologies in startups and assist them in protecting the same while deriving maximum commercial benefit out of it.
AI bots in the agriculture field can harvest crops at a higher volume and faster pace than human laborers. By leveraging computer vision helps to monitor the weed and spray them. Thus, Artificial Intelligence is helping farmers find more efficient ways to protect their crops from weeds.
Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks previously thought to rely solely on human experience, creativity, and ingenuity. As a result, we will in the near future see large parts of our lives influenced by AI.
AI innovation will also be central to the achievement of the United Nations' Sustainable Development Goals (SDGs) and will help solving humanity's grand challenges by capitalizing on the unprecedented quantities of data now being generated on sentiment behavior, human health, commerce, communications, migration and more.
With large parts of our lives being influenced by AI, it is critical that government, industry, academia and civil society work together to evaluate the opportunities presented by AI, ensuring that AI benefits all of humanity. Responding to this critical issue, ITU and the XPRIZE Foundation organized AI for Good Global Summit in Geneva, 7-9 June, 2017 in partnership with a number of UN sister agencies. The Summit aimed to accelerate and advance the development and democratization of AI solutions that can address specific global challenges related to poverty, hunger, health, education, the environment, and others.
The Summit provided a neutral platform for government officials, UN agencies, NGO's, industry leaders, and AI experts to discuss the ethical, technical, societal and policy issues related to AI, offer reccommendations and guidance, and promote international dialogue and cooperation in support of AI innovation.
Please visit the AI for Good Global Summit page for more resources: https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx
If you would like to speak, partner or sponsor the 2018 edition of the summit, please contact: ai@itu.int
Top 10 Applications Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/Y46zXHvUB1s
** Machine Learning Masters Program: https://www.edureka.co/masters-progra... **
This Edureka session on Applications Of Artificial Intelligence will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on.
Following are the topics covered in this PPT:
AI In Artificial Creativity
AI In Social Media
AI In Chatbots
AI In Autonomous Vehicles
AI In Space Exploration
AI In Gaming
AI In Banking & Finance
AI In Agriculture
AI In Healthcare
AI In Marketing
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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Artificial Intelligence in Biodiversity and Citizen ScienceKatina Michael
There’s little doubt that Artificial Intelligence has the potential to radically transform our world. Perhaps it's already doing so. In the fields of citizen science and biodiversity research, it offers some extraordinary opportunities - from the instant visual recognition of species to deep environmental insights generated out of big data analysis. These same developments also raise numerous questions about the impact A.I. will have on humanity and the natural environment. This workshop will examine the risks and opportunities presented by A.I. in the fields of citizen science and biodiversity. What are some of the key issues that researchers, practitioners, policy makers and the general public are or should be thinking about? More here: http://www.katinamichael.com/seminars/2017/10/31/examples-of-ai-in-biodiversitycitizen-science
Artificial intelligence
what is AI?
History
foundations of AI
Types of AI
Applications of AI
machine learning and applications
AI Vs Machine learning
Deep learning- advantages and disadvantages
Applications of Deep learning
Why is deep learning better than machine learning
Deep learning vs machine learning
Artificial Neural Network (ANN)
Architecture of ANN
Types of ANN
Applications of ANN
Softwares of ANN and their applications
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
Presentation made on the new CGIAR Big Data in agriculture platform, and how big data approaches can contribute to improved productivity through data driven agronomy.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
Artificial Intelligence
What is Intelligence?
Intelligence Composed of
Goals of AI
Philosophy of AI
Types of Intelligence
Contributes to AI
AI Fields of Study
Applications of AI
Advantages of Artificial Intelligence
Disadvantages / Limitation / Drawbacks of Artificial Intelligence
Issues of Artificial Intelligence
What Will Our Future Be In The World Of Artificial IntelligenceaNumak & Company
The new center at Cambridge University explores the exciting possibilities and dangers of rapidly evolving AI while also challenging your preconceptions about what AI is.
10 Wonderful Examples Of Using Artificial Intelligence (AI) For Good Bernard Marr
There are many ways artificial intelligence can be used for good and to help solve some of the world’s biggest problems. Many researchers and organizations are prioritizing projects where artificial intelligence can be used for good. Here are my top 10 ways AI is used responsibly.
Intellectual property scheme for startups in indiaIntepat IP
The primary objective of the SIPP scheme is to promote awareness and the adoption of IPRs among start-ups. The scheme is exclusively designed to nurture emerging technologies in startups and assist them in protecting the same while deriving maximum commercial benefit out of it.
AI bots in the agriculture field can harvest crops at a higher volume and faster pace than human laborers. By leveraging computer vision helps to monitor the weed and spray them. Thus, Artificial Intelligence is helping farmers find more efficient ways to protect their crops from weeds.
Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks previously thought to rely solely on human experience, creativity, and ingenuity. As a result, we will in the near future see large parts of our lives influenced by AI.
AI innovation will also be central to the achievement of the United Nations' Sustainable Development Goals (SDGs) and will help solving humanity's grand challenges by capitalizing on the unprecedented quantities of data now being generated on sentiment behavior, human health, commerce, communications, migration and more.
With large parts of our lives being influenced by AI, it is critical that government, industry, academia and civil society work together to evaluate the opportunities presented by AI, ensuring that AI benefits all of humanity. Responding to this critical issue, ITU and the XPRIZE Foundation organized AI for Good Global Summit in Geneva, 7-9 June, 2017 in partnership with a number of UN sister agencies. The Summit aimed to accelerate and advance the development and democratization of AI solutions that can address specific global challenges related to poverty, hunger, health, education, the environment, and others.
The Summit provided a neutral platform for government officials, UN agencies, NGO's, industry leaders, and AI experts to discuss the ethical, technical, societal and policy issues related to AI, offer reccommendations and guidance, and promote international dialogue and cooperation in support of AI innovation.
Please visit the AI for Good Global Summit page for more resources: https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx
If you would like to speak, partner or sponsor the 2018 edition of the summit, please contact: ai@itu.int
Top 10 Applications Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/Y46zXHvUB1s
** Machine Learning Masters Program: https://www.edureka.co/masters-progra... **
This Edureka session on Applications Of Artificial Intelligence will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on.
Following are the topics covered in this PPT:
AI In Artificial Creativity
AI In Social Media
AI In Chatbots
AI In Autonomous Vehicles
AI In Space Exploration
AI In Gaming
AI In Banking & Finance
AI In Agriculture
AI In Healthcare
AI In Marketing
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Artificial Intelligence in Biodiversity and Citizen ScienceKatina Michael
There’s little doubt that Artificial Intelligence has the potential to radically transform our world. Perhaps it's already doing so. In the fields of citizen science and biodiversity research, it offers some extraordinary opportunities - from the instant visual recognition of species to deep environmental insights generated out of big data analysis. These same developments also raise numerous questions about the impact A.I. will have on humanity and the natural environment. This workshop will examine the risks and opportunities presented by A.I. in the fields of citizen science and biodiversity. What are some of the key issues that researchers, practitioners, policy makers and the general public are or should be thinking about? More here: http://www.katinamichael.com/seminars/2017/10/31/examples-of-ai-in-biodiversitycitizen-science
Artificial intelligence
what is AI?
History
foundations of AI
Types of AI
Applications of AI
machine learning and applications
AI Vs Machine learning
Deep learning- advantages and disadvantages
Applications of Deep learning
Why is deep learning better than machine learning
Deep learning vs machine learning
Artificial Neural Network (ANN)
Architecture of ANN
Types of ANN
Applications of ANN
Softwares of ANN and their applications
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
Presentation made on the new CGIAR Big Data in agriculture platform, and how big data approaches can contribute to improved productivity through data driven agronomy.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
Artificial Intelligence
What is Intelligence?
Intelligence Composed of
Goals of AI
Philosophy of AI
Types of Intelligence
Contributes to AI
AI Fields of Study
Applications of AI
Advantages of Artificial Intelligence
Disadvantages / Limitation / Drawbacks of Artificial Intelligence
Issues of Artificial Intelligence
What Will Our Future Be In The World Of Artificial IntelligenceaNumak & Company
The new center at Cambridge University explores the exciting possibilities and dangers of rapidly evolving AI while also challenging your preconceptions about what AI is.
10 Wonderful Examples Of Using Artificial Intelligence (AI) For Good Bernard Marr
There are many ways artificial intelligence can be used for good and to help solve some of the world’s biggest problems. Many researchers and organizations are prioritizing projects where artificial intelligence can be used for good. Here are my top 10 ways AI is used responsibly.
The Amazing Ways Wild Me Uses Artificial Intelligence And Citizen Scientists ...Bernard Marr
Wildlife conservation is an enormous challenge. Wild Me, a non-profit organization, is leveraging the photos and videos of citizen scientists and the cloud, artificial intelligence, and computer vision to help track individual animals and to inform wildlife conservation efforts. Learn more about this extraordinary collaboration between man and machine.
Lecture on "Machine Learning Applications in Healthcare" delivered by Darlington Akogo, Founder, CEO, and Director of Artificial Intelligence, minoHealth AI Labs.
There are trillions of galaxies and planets in the universe. Most of them are hell planets or planets with very high potential for danger. Scientists stated that artificial intelligence has a big role in the search for extraterrestrial life.
The Role of Technology to Save BiodiversityGramener
Find out what are the major challenges biodiversity is facing such as deforestation, species endangerment, and poaching.
In the presentation, we will show you how some of the major technology and nature conservation organizations are building innovative solutions to protect our biodiversity.
Download this E-book to know how geospatial AI is impacting biodiversity conservation and sustainable development.
https://info.gramener.com/geospatial-analytics-ai-solutions-esg-sector-ebook
A REVIEW OF THE ETHICS OF ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS IN THE...IJCI JOURNAL
This study is focused on the ethics of Artificial Intelligence and its application in the United States, the
paper highlights the impact AI has in every sector of the US economy and multiple facets of the
technological space and the resultant effect on entities spanning businesses, government, academia, and
civil society. There is a need for ethical considerations as these entities are beginning to depend on AI for
delivering various crucial tasks, which immensely influence their operations, decision-making, and
interactions with each other. The adoption of ethical principles, guidelines, and standards of work is
therefore required throughout the entire process of AI development, deployment, and usage to ensure
responsible and ethical AI practices. Our discussion explores eleven fundamental 'ethical principles'
structured as overarching themes. These encompass Transparency, Justice, Fairness, Equity, NonMaleficence, Responsibility, Accountability, Privacy, Beneficence, Freedom, Autonomy, Trust, Dignity,
Sustainability, and Solidarity. These principles collectively serve as a guiding framework, directing the
ethical path for the responsible development, deployment, and utilization of artificial intelligence (AI)
technologies across diverse sectors and entities within the United States. The paper also discusses the
revolutionary impact of AI applications, such as Machine Learning, and explores various approaches used
to implement AI ethics. This examination is crucial to address the growing concerns surrounding the
inherent risks associated with the widespread use of artificial intelligence.
Can Cancer Be Diagnosed With Artificial IntelligenceaNumak & Company
The use of Artificial Intelligence in the field of medicine is a revolution. Artificial intelligence experts are building large-scale machine learning systems for computational pathology in every country of the world.
These experts are working to develop new deep learning and ensemble models to create the first clinical-grade artificial intelligence application for pathology.
HUMAN RIGHTS IN THE AGE OF ARTIFICIAL INTELLIGENCE. This report is a product of Access Now. We thank lead author Lindsey Andersen for her
significant contributions. If you have questions about this report or you would like more information, you can contact info@accessnow.org.
The Ethics of Artificial Intelligence in Digital Ecosystemswashikmaryam
The ethics of AI go beyond just the technology itself. When we consider AI within the complex web of digital platforms and services (the digital ecosystem), new ethical concerns arise.
A big focus is on how AI decisions can be biased, reflecting the data it's trained on and potentially leading to discrimination. We also need to be mindful of privacy issues and how AI might be used to manipulate users.
To ensure ethical AI in digital ecosystems, we need to consider these potential pitfalls during development and use frameworks to make responsible choices. This includes reflecting on the decision-making process and how AI can be used for good.
Livestock are farm animals who are raised to generate profit. They are used for the commodities such as meat, eggs, milk, fur, leather and wool. Livestock animals usually distribute in remote areas, with relatively poor condition of disease diagnosis. Generally, it is difficult to carry out disease diagnosis rapidly and accurately.
Livestock diseases often pose a risk to public health and even affects the economy at large extent as we are quite dependent on the essential commodities we procure from the livestock. It is necessary to detect the disease outcome in the livestock to take the precautionary measures in order to avoid spread amongst them. So, there is a need for a system which can help in predicting the diseases among livestock on the basis of symptoms and suggest the precautionary measures to be taken with respect to the disease predicted. Our proposed system will predict the livestock (Cow, Sheep and Goat) disease using SVC (Support Vector Classifier) multi-class classification algorithm based on the symptoms and also provide the precautionary measures on the basis of disease predicted. There are some diseases which can prove to be fatal. So, our system will also alert the livestock owner if the predicted disease may cause a sudden death.
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.
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
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into 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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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/
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
2. Artificial Intelligence (AI) is in
demand in quite a variety of fields
these days. Potential applications of
Artificial Intelligence (AI), already
crucial to global supply chains and
internet operations, are explored in
various contexts such as lawmak-
ing, medicine, and the military.
Then the question comes to
mind:
What does Artificial Intelli-
gence (AI) mean for nature?
Can Wildlife be Created
with Artificial Intelligence
(AI)?
Co–authored by Harvard Uni-
versity Landscape Architect Bradley
Cantrell, Environmental Histori-
an Laura Martin, and University
of Maryland Ecologist Erle Ellis,
the paper’s content is more of a
thought experiment than a practical
program – perhaps given the ad-
vances already driven by Artificial
Intelligence (AI). Nevertheless, it’s
not that far from practice. Some
researchers are already using Ar-
tificial Intelligence (AI) systems to
understand more complex ecologi-
cal datasets.
For example, researchers have
designed autonomous robots for
hunting invasive sea stars in the
Great Barrier Reef. In addition,
applications such as wildlife–direct-
ing fences, seed–dispersing planes,
and arranging river sediments to
support biodiversity are suggested
by experts for Artificial Intelligence
(AI)–powered systems.
anumak.ai
3. Why are Conservationists Using Artificial Intelligence (AI)
for Wildlife Conservation?
Scientists are using Artificial Intelligence (AI) to understand
what puts these species at risk by providing information on where
they were born, how many survive, where they went and how far
they went. Some advantages of Artificial Intelligence (AI) in ani-
mal species conservation include:
• It helps stop the illegal animal trade on social media.
• It helps conservationists detect and stop wildlife poaching.
• Artificial Intelligence (AI) helps assess the species population
and see changes.
• Artificial Intelligence (AI) algorithms can protect animal habi-
tats by predicting animal migration patterns.
• Artificial Intelligence (AI) simplifies the collection and analysis
of large and fascinating datasets quickly.
• Artificial Intelligence (AI) defines animal species, classifies
them into various classes, and gives detailed information.
• Designing an appropriate plan can provide information on the
impacts and mitigation of climate change on wildlife.
• Artificial Intelligence (AI) assists wildlife researchers in study-
ing wild animal species collectively and developing strategies
to conserve them.
The application
of Artificial
Intelligence
(AI) has recent-
ly transformed
wildlife conser-
vation. Artificial
Intelligence (AI)
helps researchers
identify animals’
location, sighting
date, migration
patterns, and
even an animal
social group.
In addition, con-
servationists use
Artificial
Intelligence (AI)
to monitor and
protect animals
in their natural
habitat.
anumak.ai
4. 1. Rainforest Connection, a San Francisco–based NGO, uses Artificial Intelligence (AI) to com-
bat illegal wildlife in Africa.
2. Microsoft’s Species Classification API Demo uses a machine learning model to describe over
5000 animal and plant species.
3. The World Wildlife Fund and Intel are collaborating with researchers on a project to monitor
and protect Siberian tigers in China using Artificial Intelligence (AI).
4. Conservation Metrics, a Santa Cruz–based company, uses Artificial Intelligence (AI) tools
and machine learning models to help researchers monitor wildlife conditions, distribution,
and population trends.
5. Wildbook, a US–based non–profit organization, uses Artificial Intelligence (AI) algorithms to
digitally tag animals like human fingerprints. Algorithms analyze the public photo and video
streams to identify individual animals instantly.
6. DeepMind, a UK–based company, has developed an Artificial Intelligence (AI)–based model
to identify and count animal species. It is stationed in Serengeti National Park in Tanzania.
Using Artificial Intelligence (AI), scientists recognize wild animals and protect at–risk species
before it’s too late.
7. Conservation Assistant for Wildlife Security (PAWS): PAWS is an Artificial Intelligence (AI)
based application used for predictive analysis and resource optimization. It assists rangers
by analyzing data and providing information on topography, animal population, nature
trails, and foot traffic. In addition, Artificial Intelligence (AI) helps rangers detect wildlife
crimes.
8. Saving the global bee colony: Katharina Schmidt, founder of apic.ai, and her team de-
signed a beehive monitor to collect data using TensorFlow, Google’s open-source machine
learning framework. It is supported by tracking various bee activities, such as the number
of bees, their movement mode, or whether they carry pollen. Artificial Intelligence (AI) helps
experts make informed decisions by providing complete data and analytics reports.
9. Elephant Listening Project: Cornell University researcher Peter Wrege and his team used neu-
ral networks, a subset of Artificial Intelligence (AI), to collect and classify data on Savannah
Elephants surviving in the dense rainforests of Central Africa. They place sound recorders in
the forest to monitor forest sounds. Then, they set up different neural networks with Conserva-
tion Metrics, a California–based company, to isolate forest sounds and locate elephants and
poachers.
anumak.ai