The current podcast is on Effect of A I on Economics and Business Management.
It will help us explore how Artificial Intelligence impacts the World Economy.
AI - Rise of Big Data in Business PlanningJitendra Tomar
The current podcast deliberates on Big Data and its utility in Business Planning, Business Intelligence. The Show focuses on how organizations develop business intelligence through various technologies.
The document repeatedly discusses AI, artificial intelligence, and its applications in economics and business management over multiple paragraphs without providing additional details or context.
IIoT uses the power of smart
machines and real-time analytics to take advantage of the data that "dumb machines" have produced in industrial settings for years. The driving the philosophy behind IIoT is that intelligent machines are not only better than humans at
capturing and analyzing data in real-time, but they're also better at communicating important information that can be used to drive business decisions faster and
more accurately.
Managers at all levels will have to adapt to the world of smart machines. The fact is, artificial intelligence will soon be able to do the administrative tasks that consume much of managers’ time, and that too in a faster and better way, and at a lower cost.
Artificial Intelligence and Internet of Things.pptxJitendra Tomar
Today’s business world is changing with the adoption of IoT (Internet of Things).
IoT is helping in prominently capturing a tremendous amount of data from
multiple sources. However, wrapping around the multitude of data coming
from countless of IoT devices, makes it complex to collect, process, and
analyze the data.
Realizing the future and full potential of IoT devices will require an investment
in new technologies. The convergence of AI (Artificial Intelligence) and IoT can
redefine the way industries, business, and economies functions. AI-enabled
IoT creates intelligent machines that simulate smart behavior and supports in
decision-making with little or no human interference.
Reshaping Business with Artificial IntelligenceJitendra Tomar
Disruption from artificial intelligence (AI) is here, but many company leaders aren’t sure what to expect from AI or how it fits into their business model.
Yet with change coming at breakneck speed, the time to identify the company’s AI strategy is now.
Here is the baseline information on the strategies used by companies leading in AI, the prospects for its growth, and the steps executives need to take to develop a strategy for their business.
Artificial intelligence applications are increasingly being used in the financial sector. Chatbots can help reduce costs by automating some customer service tasks, while machine learning algorithms can help make know-your-customer processes more efficient by identifying patterns in transaction data. Artificial intelligence may also allow for more accurate foreign exchange price predictions and personalized robo-advisor services. These applications demonstrate how artificial intelligence is disrupting traditional financial services.
AI - Rise of Big Data in Business PlanningJitendra Tomar
The current podcast deliberates on Big Data and its utility in Business Planning, Business Intelligence. The Show focuses on how organizations develop business intelligence through various technologies.
The document repeatedly discusses AI, artificial intelligence, and its applications in economics and business management over multiple paragraphs without providing additional details or context.
IIoT uses the power of smart
machines and real-time analytics to take advantage of the data that "dumb machines" have produced in industrial settings for years. The driving the philosophy behind IIoT is that intelligent machines are not only better than humans at
capturing and analyzing data in real-time, but they're also better at communicating important information that can be used to drive business decisions faster and
more accurately.
Managers at all levels will have to adapt to the world of smart machines. The fact is, artificial intelligence will soon be able to do the administrative tasks that consume much of managers’ time, and that too in a faster and better way, and at a lower cost.
Artificial Intelligence and Internet of Things.pptxJitendra Tomar
Today’s business world is changing with the adoption of IoT (Internet of Things).
IoT is helping in prominently capturing a tremendous amount of data from
multiple sources. However, wrapping around the multitude of data coming
from countless of IoT devices, makes it complex to collect, process, and
analyze the data.
Realizing the future and full potential of IoT devices will require an investment
in new technologies. The convergence of AI (Artificial Intelligence) and IoT can
redefine the way industries, business, and economies functions. AI-enabled
IoT creates intelligent machines that simulate smart behavior and supports in
decision-making with little or no human interference.
Reshaping Business with Artificial IntelligenceJitendra Tomar
Disruption from artificial intelligence (AI) is here, but many company leaders aren’t sure what to expect from AI or how it fits into their business model.
Yet with change coming at breakneck speed, the time to identify the company’s AI strategy is now.
Here is the baseline information on the strategies used by companies leading in AI, the prospects for its growth, and the steps executives need to take to develop a strategy for their business.
Artificial intelligence applications are increasingly being used in the financial sector. Chatbots can help reduce costs by automating some customer service tasks, while machine learning algorithms can help make know-your-customer processes more efficient by identifying patterns in transaction data. Artificial intelligence may also allow for more accurate foreign exchange price predictions and personalized robo-advisor services. These applications demonstrate how artificial intelligence is disrupting traditional financial services.
عرض إلكتروني مقدم في اجتماع الجمعية العمومية التأسيسية للاتحاد العربي للتجارة الإلكترونية | مجلس الوحدة الاقتصادية العربية 3 مايو 2016 | جامعة الدول العربية | القاهرة – جمهورية مصر العربية
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
This document discusses the uses of artificial intelligence in fintech. It defines AI as computer systems imitating human thinking, and describes three types: weak AI which completes simple tasks based on programming, strong AI which can learn and adapt to complete tasks more efficiently, and human reasoning AI which can anticipate human responses through machine learning. It explains that fintech industries use AI to enhance customer service by processing large amounts of data quickly to better understand customers, detect fraud, and provide faster, more personalized financial services and guidance. Overall, AI benefits fintech customers by accelerating and improving the convenience, ease of use, and delivery of financial services.
The document discusses the need for AI governance frameworks to build trust in AI systems. It outlines key pillars of governance including governing bodies, roles and responsibilities, and standard operating procedures. It also discusses the importance of model documentation, validation and certification. Effective governance requires a risk-based approach and measures to minimize bias and ensure fairness, transparency and human-centric AI. Governance spans the full model lifecycle from data collection and preprocessing to model deployment and use.
Artificial intelligence in practice- part-1GMR Group
Summary is made in 5 parts-
This is Part -1
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
• The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment.
• Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
• It is used in areas ranging from banking and finance to social media and marketing.
• This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries.
• This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.
• This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution.
• Each case study provides a comprehensive overview, including some technical details as well as key learning summaries:
o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations
o Expand your knowledge of recent AI advancements in technology
o Gain insight on the future of AI and its increasing role in business and industry
o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce
The document discusses bringing artificial intelligence (AI) to business intelligence (BI). It provides an overview of the current BI environment and how it is lacking in its ability to answer "why" questions and provide prescriptive recommendations. The document then defines different types of AI, from weak AI to artificial general intelligence. It also outlines various AI technologies, especially machine learning techniques like supervised and unsupervised learning. The overall document serves to introduce the topic of integrating AI capabilities into BI tools and analytics.
AI continues to expand into different areas like healthcare, agriculture, scientific research and auditing.
AI is still only touching the surface when it comes to its application, especially if AI can work with time-series data.
Generative AI: Responsible Path Forward
Dr. Saeed Aldhaheri discusses the potential and risks of generative AI and proposes a responsible path forward. He outlines that (1) while generative AI shows great economic potential and can augment human capabilities, it also poses new ethical risks if not developed responsibly. (2) Current approaches by the tech industry are not sufficient, and a human-centered perspective is needed. (3) Building responsible generative AI requires moving beyond technical solutions to address sociotechnical issues through principles of ethics by design, governance, risk frameworks, and responsible data practices.
This presentation provides an introduction to artificial intelligence (AI), its applications, and risks. It defines AI as the ability of machines to perform tasks typically requiring human intelligence, such as understanding language, recognizing patterns, and making decisions. Applications of AI discussed include machine learning, improving efficiency in industries, and using AI in healthcare. Risks covered are potential for biased outcomes from training data, malicious use of AI, and advanced AI surpassing human intelligence. The presentation concludes it is important to consider both the benefits and risks/unintended consequences of AI development and deployment.
Artificial intelligence is a branch of computer science that aims to create intelligent machines that can think and act like humans. It uses techniques like neural networks and machine learning to solve complex problems. AI has many applications including healthcare, gaming, data security, social media, transportation, robotics, education and more. While it offers benefits like accuracy, speed and reliability, it also faces limitations such as high costs, limited abilities and lack of original creativity.
How To develop An Artificial Intelligence Strategy: 9 Things Every Business M...Bernard Marr
An artificial intelligence (AI) strategy has become a vital tool every organisation needs. Based on my experience helping companies develop their AI strategies, I share my nine things every AI strategy must include.
Rise of Applied Artificial Intelligence in IndiaManish Singhal
1) India is the fastest growing smartphone market and will have 435 million smartphones by 2019, changing workflows massively. Data is expected to grow 50 times from 2009 to 2020.
2) Applied AI will be needed to make sense of and profit from this large amount of data. The use of applied AI will determine new category leaders.
3) Three major trends are converging in India - a growing digital population, a young and tech-savvy workforce, and supportive government initiatives - making it the perfect time to invest in applied AI startups.
Impact of Artificial Intelligence in IT IndustryAnand SFJ
https://sfjbstraining.com/product/artificial-intelligence-course
Artificial Intelligence transforms traditional computer methods but also has an impact on various industries. Software which makes Artificial Intelligence relatively more important in this sector.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
This presentation looks at the role of AI with accounting and finance. The focus looks at automation and skill set require by accounting professionals to support their clients current and future needs in terms of support.
Artificial intelligence is reshaping business, and the time is ripe for companies to capitalise AI. The organisation can use AI to move their focus from discrete business problems to significant business challenges.
An organisation should use ML and Data Science to drive digital transformation for more back-office operational efficiency, better user/engagement, smoother onboarding, and better ROI by lowering cost and bring more data-driven taking mechanism for transparency.
AI will be a valuable, transformational change agent not only to the way business is done but to the way people live their daily lives if it isn't perceived as a plug-and-play technology with immediate returns but more like a long term solution to rewire the organisation.
This presentation presents an overview of the challenges and opportunities of generative artificial intelligence in Web3. It includes a brief research history of generative AI as well as some of its immediate applications in Web3.
In this new Accenture Finance & Risk presentation we explore machine learning as a solution to some of the most important challenges faced by the banking sector today. To learn more, read our blog on Machine Learning in Banking: https://accntu.re/2oTVJiX
This document provides an overview of artificial intelligence, including its history, domains, applications in India, pros and cons, and future. It discusses how AI aims to create intelligent machines and systems that exhibit human-like behavior. Some key points include:
- AI has applications in banking in India, with major banks like SBI, HDFC, ICICI, and Axis Bank using chatbots and other AI tools to help customers.
- The advantages of AI include reducing errors, aiding difficult exploration, assisting with daily tasks through recommendations and assistants, and handling repetitive jobs without breaks.
- Potential disadvantages comprise high costs, an inability to fully replicate human abilities, lacking improvement from experience, and limited original creativity that
The document discusses how AI is revolutionizing industries through applications in healthcare, finance, manufacturing, retail, and more. It describes how AI is enhancing processes, improving efficiency and decision making, and creating personalized experiences. While AI presents opportunities, the document also addresses challenges like privacy, bias, and job disruption that will be important to manage. Overall, the presentation argues that responsibly embracing AI innovation will transform industries and pave the way for future progress.
The presentation explores the impact of artificial intelligence on various industries and its future implications. It discusses how AI is revolutionizing sectors like healthcare, finance, manufacturing, and retail by enhancing outcomes, driving efficiencies, and improving customer experiences. While the adoption of AI presents challenges regarding privacy, bias, and jobs, it also provides opportunities to increase productivity if developed and applied responsibly. Harnessing the full power of AI requires embracing innovation and collaboration between humans and machines.
عرض إلكتروني مقدم في اجتماع الجمعية العمومية التأسيسية للاتحاد العربي للتجارة الإلكترونية | مجلس الوحدة الاقتصادية العربية 3 مايو 2016 | جامعة الدول العربية | القاهرة – جمهورية مصر العربية
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
This document discusses the uses of artificial intelligence in fintech. It defines AI as computer systems imitating human thinking, and describes three types: weak AI which completes simple tasks based on programming, strong AI which can learn and adapt to complete tasks more efficiently, and human reasoning AI which can anticipate human responses through machine learning. It explains that fintech industries use AI to enhance customer service by processing large amounts of data quickly to better understand customers, detect fraud, and provide faster, more personalized financial services and guidance. Overall, AI benefits fintech customers by accelerating and improving the convenience, ease of use, and delivery of financial services.
The document discusses the need for AI governance frameworks to build trust in AI systems. It outlines key pillars of governance including governing bodies, roles and responsibilities, and standard operating procedures. It also discusses the importance of model documentation, validation and certification. Effective governance requires a risk-based approach and measures to minimize bias and ensure fairness, transparency and human-centric AI. Governance spans the full model lifecycle from data collection and preprocessing to model deployment and use.
Artificial intelligence in practice- part-1GMR Group
Summary is made in 5 parts-
This is Part -1
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe.
• The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment.
• Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.
• It is used in areas ranging from banking and finance to social media and marketing.
• This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries.
• This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.
• This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution.
• Each case study provides a comprehensive overview, including some technical details as well as key learning summaries:
o Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations
o Expand your knowledge of recent AI advancements in technology
o Gain insight on the future of AI and its increasing role in business and industry
o Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the trans-formative power of technology in 21st century commerce
The document discusses bringing artificial intelligence (AI) to business intelligence (BI). It provides an overview of the current BI environment and how it is lacking in its ability to answer "why" questions and provide prescriptive recommendations. The document then defines different types of AI, from weak AI to artificial general intelligence. It also outlines various AI technologies, especially machine learning techniques like supervised and unsupervised learning. The overall document serves to introduce the topic of integrating AI capabilities into BI tools and analytics.
AI continues to expand into different areas like healthcare, agriculture, scientific research and auditing.
AI is still only touching the surface when it comes to its application, especially if AI can work with time-series data.
Generative AI: Responsible Path Forward
Dr. Saeed Aldhaheri discusses the potential and risks of generative AI and proposes a responsible path forward. He outlines that (1) while generative AI shows great economic potential and can augment human capabilities, it also poses new ethical risks if not developed responsibly. (2) Current approaches by the tech industry are not sufficient, and a human-centered perspective is needed. (3) Building responsible generative AI requires moving beyond technical solutions to address sociotechnical issues through principles of ethics by design, governance, risk frameworks, and responsible data practices.
This presentation provides an introduction to artificial intelligence (AI), its applications, and risks. It defines AI as the ability of machines to perform tasks typically requiring human intelligence, such as understanding language, recognizing patterns, and making decisions. Applications of AI discussed include machine learning, improving efficiency in industries, and using AI in healthcare. Risks covered are potential for biased outcomes from training data, malicious use of AI, and advanced AI surpassing human intelligence. The presentation concludes it is important to consider both the benefits and risks/unintended consequences of AI development and deployment.
Artificial intelligence is a branch of computer science that aims to create intelligent machines that can think and act like humans. It uses techniques like neural networks and machine learning to solve complex problems. AI has many applications including healthcare, gaming, data security, social media, transportation, robotics, education and more. While it offers benefits like accuracy, speed and reliability, it also faces limitations such as high costs, limited abilities and lack of original creativity.
How To develop An Artificial Intelligence Strategy: 9 Things Every Business M...Bernard Marr
An artificial intelligence (AI) strategy has become a vital tool every organisation needs. Based on my experience helping companies develop their AI strategies, I share my nine things every AI strategy must include.
Rise of Applied Artificial Intelligence in IndiaManish Singhal
1) India is the fastest growing smartphone market and will have 435 million smartphones by 2019, changing workflows massively. Data is expected to grow 50 times from 2009 to 2020.
2) Applied AI will be needed to make sense of and profit from this large amount of data. The use of applied AI will determine new category leaders.
3) Three major trends are converging in India - a growing digital population, a young and tech-savvy workforce, and supportive government initiatives - making it the perfect time to invest in applied AI startups.
Impact of Artificial Intelligence in IT IndustryAnand SFJ
https://sfjbstraining.com/product/artificial-intelligence-course
Artificial Intelligence transforms traditional computer methods but also has an impact on various industries. Software which makes Artificial Intelligence relatively more important in this sector.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
This presentation looks at the role of AI with accounting and finance. The focus looks at automation and skill set require by accounting professionals to support their clients current and future needs in terms of support.
Artificial intelligence is reshaping business, and the time is ripe for companies to capitalise AI. The organisation can use AI to move their focus from discrete business problems to significant business challenges.
An organisation should use ML and Data Science to drive digital transformation for more back-office operational efficiency, better user/engagement, smoother onboarding, and better ROI by lowering cost and bring more data-driven taking mechanism for transparency.
AI will be a valuable, transformational change agent not only to the way business is done but to the way people live their daily lives if it isn't perceived as a plug-and-play technology with immediate returns but more like a long term solution to rewire the organisation.
This presentation presents an overview of the challenges and opportunities of generative artificial intelligence in Web3. It includes a brief research history of generative AI as well as some of its immediate applications in Web3.
In this new Accenture Finance & Risk presentation we explore machine learning as a solution to some of the most important challenges faced by the banking sector today. To learn more, read our blog on Machine Learning in Banking: https://accntu.re/2oTVJiX
This document provides an overview of artificial intelligence, including its history, domains, applications in India, pros and cons, and future. It discusses how AI aims to create intelligent machines and systems that exhibit human-like behavior. Some key points include:
- AI has applications in banking in India, with major banks like SBI, HDFC, ICICI, and Axis Bank using chatbots and other AI tools to help customers.
- The advantages of AI include reducing errors, aiding difficult exploration, assisting with daily tasks through recommendations and assistants, and handling repetitive jobs without breaks.
- Potential disadvantages comprise high costs, an inability to fully replicate human abilities, lacking improvement from experience, and limited original creativity that
The document discusses how AI is revolutionizing industries through applications in healthcare, finance, manufacturing, retail, and more. It describes how AI is enhancing processes, improving efficiency and decision making, and creating personalized experiences. While AI presents opportunities, the document also addresses challenges like privacy, bias, and job disruption that will be important to manage. Overall, the presentation argues that responsibly embracing AI innovation will transform industries and pave the way for future progress.
The presentation explores the impact of artificial intelligence on various industries and its future implications. It discusses how AI is revolutionizing sectors like healthcare, finance, manufacturing, and retail by enhancing outcomes, driving efficiencies, and improving customer experiences. While the adoption of AI presents challenges regarding privacy, bias, and jobs, it also provides opportunities to increase productivity if developed and applied responsibly. Harnessing the full power of AI requires embracing innovation and collaboration between humans and machines.
Presentation at the HEA-funded workshop 'Exploring innovative approaches to experiential teaching and learning in management decision making education'
This one day workshop provided a platform to critically examine various innovative approaches to experiential teaching/learning in Management Decision Making in order to provoke and stimulate educators. The workshop consisted of invited speeches, participants’ presentations, group debate and discussion, and panel Q&A. There were also opportunities for professional networking and socialising.
This presentation is part of a related blog post that provides an overview of the event:
For further details of the HEA's work on active and experiential learning in the Social Sciences, please see: http://bit.ly/17NwgKX
AI will revolutionize the professional world in the next five years, with advancements in natural language processing, robotics, and machine learning. It will enhance efficiency, productivity, and decision-making while transforming industries.
Know More: https://bit.ly/42QwDEh
The Rise of Generative AI in Finance: Reshaping the Industry with Synthetic DataChampak Jhagmag
In this presentation, we will explore the rise of generative AI in finance and its potential to reshape the industry. We will discuss how generative AI can be used to develop new products, combat fraud, and revolutionize risk management. Finally, we will address some of the ethical considerations and challenges associated with this powerful technology.
Artificial Intelligence (AI)
Economic Development
Increased Productivity
Innovation and Entrepreneurship
Industry Transformation
Job Creation and Workforce Development
Enhanced Decision Making and Risk Management
Global Competitiveness
Inclusive Growth and Sustainable Development
What Is Artificial Intelligence And Its Impact On AccountingAditya Prakhar Singh
See how Artificial Intelligence (AI) can reduce human efforts by automating various accounting processes like keeping track of the order status, doing the critical task like audits, tax filing, and segregating data according to corresponding categories so that you can strengthen your client relationship.
The document discusses the potential economic impact and value of artificial intelligence (AI) technologies. Some key points:
- Global GDP could be 14% higher by 2030 due to AI, equivalent to an additional $15.7 trillion in economic value. China and North America are expected to see the largest boosts of up to 26% and 14% respectively.
- The majority of GDP gains will come from increased productivity and consumption enabled by AI. Productivity gains will be driven by automation of processes and augmentation of human workers. Consumption gains will come from personalized and higher quality AI-enhanced products and services.
- Retail, financial services, and healthcare are identified as sectors that could see the biggest gains from AI
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING CAREER GUIDENcib Lotfi
The document provides information about career opportunities in artificial intelligence. It discusses various applications of AI across industries like healthcare, entertainment, banking/finance, marketing, retail, manufacturing and more. It outlines popular job roles in AI like software engineers, data scientists, AI researchers, intelligence specialists, consultants, AI data analysts, machine learning engineers, sales engineers, and product managers. The document also provides sample job descriptions for roles like artificial intelligence engineer and machine learning engineer. It discusses necessary skills for AI careers like Python, Java, R, machine learning frameworks, data science, analytics and more. Finally, the document shares success stories from the Post Graduate Program in Artificial Intelligence and Machine Learning (PGP-AIML).
This AI business checklist is a tool that provides an easy-to-use structure for strategic discussions, goal setting and critical decisions in your leadership team. A structure that you can use as a business leader to guide your decisions towards getting full value out of AI technology in your organisation. It is meant to be a tool that you can return to to guide your progress.
Imagine your office commute powered by an AI assistant that predicts the traffic on all different routes, orders your breakfast waffles to go and even preps your favourite latte- all before you even wake up. That sounds like a dream strategy right?
Well, almost. Except it misses a few details here and there. Just a strategy with a sprinkle of AI is easy talk. But what about the core idea that makes it a business’s superstar?
Integration of AI powered solutions and machine learning applications into Business strategies is the new age secret weapon for businesses, and building a winning AI strategy is what the race is all about.
Artificial intelligence (AI) is a source of both huge excitement
and apprehension. What are the real opportunities and threats
for your business? Drawing on a detailed analysis of the business
impact of AI, we identify the most valuable commercial opening in
your market and how to take advantage of them.
Get Ready: AI Is Grown Up and Ready for BusinessCognizant
Despite great enthusiasm for AI, full-blown deployments remain the exception rather than the rule across businesses in the U.S. and Europe, according to our recent research. Businesses can turn the tide by honing their AI strategies, maintaining a human-centric approach, developing governance structures and ensuring AI applications are built on an ethical foundation.
The Future of AI Automation and challenges ahead.RamamTech
The future of AI automation is here. Revolutionizing industries and transforming the way we work. AI is set to reshape the world as we know it. Let's explore the possibilities and challenges ahead.
Summary of Accenture report, Boost your AIQ, which analyzes what companies must do to improve their innovation strategy to achieve successful digital growth.
This document discusses the current capabilities and limitations of artificial intelligence (AI) and its potential future impact. It defines AI as using algorithms to perform tasks typically requiring human intelligence, such as visual perception and language translation. The document outlines how AI can analyze large amounts of data quickly but still struggles with tasks requiring common sense, creativity or emotional intelligence. It concludes that AI has potential to change the world for the better if developed and used responsibly, and that understanding its capabilities and limitations will help ensure it benefits humanity.
Artificial Intelligence
Future Economy
Automation and Labor Market Disruption
Productivity and Efficiency Gains
Innovation and Entrepreneurship
Data Economy and Monetization
Digital Transformation and Industry 4.0
Skill Development and Workforce Transformation
Ethical and Societal Implications
Steve Yates - How AI Will Improve The Service Desk Support ExperienceitSMF UK
This document discusses how artificial intelligence will impact IT service management. It begins by defining artificial intelligence and its growing role in organizations. It then outlines several ways AI can enhance IT service management, including through natural language processing, machine learning, and virtual agents. The document also examines inhibitors to AI adoption, such as rigid frameworks and shadow IT systems. It proposes enablers like agile frameworks, knowledge management systems, and REST APIs. Finally, it recommends developing an AI strategy, gaining management support, and identifying practical use cases to prepare organizations for AI's arrival in IT service management.
Similar to AI in economics and business management. (20)
4. Internet of Things - Reference Model and ArchitectureJitendra Tomar
Architecture Reference Model Introduction, Reference Model and architecture, IoT reference Model, Functional View, Information View, Deployment and Operational View, Real World Design Constraints- Introduction, Technical Design constraints, Data representation and visualization
Devices and gateways, Local and wide area networking, Data Management, Business processes in IoT, Everything as a Service(XaaS), M2M and IoT Analytics, Knowledge Management, Architecture Reference Model Introduction, Reference Model and architecture, IoT reference Model
2. Internet of Things - A Market PerspectiveJitendra Tomar
Introduction, Some Definitions, M2M Value Chains, IoT Value Chains,
An emerging industrial structure for IoT - The information-driven global value chain and global information monopolies.
M2M to IoT-An Architectural Overview– Building an architecture, Main design principles and needed capabilities, An IoT architecture outline, standards considerations
The document discusses the results of a study on the impact of COVID-19 lockdowns on air pollution. Researchers analyzed satellite data from NASA and the European Space Agency and found that nitrogen dioxide levels decreased significantly during lockdown periods in major cities across the world as traffic and industrial activities reduced. Overall, the temporary improvements in air quality during widespread lockdowns highlight the human-caused nature of poor urban air pollution.
The slideshow will help the learners to relate the code of ethics with the appropriate profession, Comprehend the concept of professional ethics, Analyse various ethical issues at the workplace, and Interpret theories of ethics and their implications.
PFE5.2 Research Ethics and Academic Integrity - Publication EthicsJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly lists the school, topics of professional ethics and social responsibility, and sustainability over multiple pages without providing additional context or information.
PFE5.1 Research Ethics and Academic Integrity - Research EthicsJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly lists the school, topics of professional ethics and social responsibility, and sustainability in a repetitive manner without providing additional context or information.
PFE4.4 Global Issues - Sustainable Development GoalsJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability. It describes the 17 United Nations Sustainable Development Goals adopted in 2015 to end poverty, protect the planet, and ensure peace and prosperity by 2030. The goals are integrated and aim to achieve zero poverty, hunger, AIDS, and discrimination against women and girls through balancing social, economic, and environmental sustainability. The document also provides contact information for Jitendra Tomar who works on these topics.
PFE4.3 Global Issues - Environmental EthicsJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeats the school, topics of ethics and responsibility, and the overall theme of sustainability multiple times. In a concise manner, the summary focuses on the key elements repeated throughout the document.
PFE4.2 Global Issues - Business Ethics and Corporate GovernanceJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly covers topics related to professional ethics and social responsibility as they relate to creating sustainable practices and decisions in business.
PFE4.1 Global Issues - Globalization of MNCsJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly lists the school, topics of professional ethics and social responsibility, and sustainability. In under 3 sentences, the summary is the document is from the Amity School of Business and repeatedly covers their approach to teaching professional ethics, social responsibility, and sustainability.
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly covers topics related to professional ethics and social responsibility as they relate to creating sustainable practices and decisions in business.
PFE3.4 Ethical Considerations - Working with MinorsJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly covers topics related to professional ethics and social responsibility as they relate to creating sustainable practices and decisions in business.
PFE3.3 Ethical Considerations - Principles of Natural JusticeJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It focuses on training students in ethical and socially responsible business practices to promote long-term business sustainability. The document repeatedly outlines the school's emphasis on ethics and social responsibility education.
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It focuses on training students in ethical and socially responsible business practices to promote long-term business sustainability. The document repeatedly outlines the school's emphasis on ethics and social responsibility education.
PFE3.1 Ethical Considerations - Basics of Intellectual PropertyJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly covers topics related to professional ethics and social responsibility as they relate to creating sustainable practices and decisions in business.
PFE2.5 Code of Conduct - Organizational LoyaltyJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly covers topics related to professional ethics and social responsibility as they relate to creating sustainable practices and decisions in business.
PFE2.4 Code of Conduct - Corporate Social ResponsibilityJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly lists the school, topics of professional ethics and social responsibility, and sustainability. In under 3 sentences, the summary is the document is from the Amity School of Business and repeatedly covers their approach to teaching professional ethics, social responsibility, and sustainability.
PFE2.3 Code of Conduct - Workplace Rights and ResponsibilitiesJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly covers topics related to professional ethics and social responsibility as they relate to creating sustainable practices and decisions in business.
PFE2.2 Code of Conduct - Ethics at the WorkplaceJitendra Tomar
The document discusses professional ethics and social responsibility for sustainability from the Amity School of Business. It repeatedly covers topics related to professional ethics and social responsibility as they relate to creating sustainable practices and decisions in business.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
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The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.