AI in Action: Real World Use Cases by AnitarajAnitaRaj43
The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation.
The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.
Artificial intelligence in digital marketingMatthewPylant
Artificial intelligence (AI) is intelligence demonstrated by machines, in contrast to natural human intelligence. AI has the potential to change the future of digital marketing by lowering costs, allowing marketing programs to run autonomously, and making it easier for businesses to understand customer interactions on their websites. Implementing AI for digital marketing can provide cheaper marketing, better customer service, automated reports, self-learning capabilities to discover new marketing strategies, and personalized customer experiences through content generation. However, some consumers may be wary of AI monitoring their online activities and could use ad blockers or other means to avoid this. Proper implementation of AI for digital marketing requires hiring AI and marketing professionals to develop the technology and monitor its performance.
The document provides an introduction to artificial intelligence (AI), including its history and limitations. It discusses 5 main limitations of AI: data, cultural limitations, bias, emotional intelligence, and lack of a strategic approach. It then discusses 5 key advantages: reduction in human error, taking risks instead of humans, availability 24/7, helping with repetitive jobs, and digital assistance. Finally, it covers 5 disadvantages: high creation costs, making humans lazy, unemployment, lack of emotions, and inability to think outside the box. The document thus provides a broad overview of the history, limitations, advantages and disadvantages of artificial intelligence.
Top 5 Deep Learning and AI Stories - April 20, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: the 5 AI basics every business executive should know, Canon Medical Systems partners with NVIDIA to advance AI in healthcare, auditors use AI to detect accounting fraud, AI system reduces risk in M&A, and researchers develop an AI system that can process sound as well as humans.
AI Restart 2023: Guillermo Alda - How AI is transforming companies, inside outTaste
Companies which want to benefit from the transformative power of AI need to embrace change and adapt their organizations with new roles and organizational structure. Disclaimer: AI is not taking your job.
The document discusses the key components of AI: discover, predict, justify, act, and learn. Discover refers to collecting data, which is important for fueling AI. Predict involves using analytics tools to analyze data and predict future outcomes. Justify is about explaining AI reasoning to build trust. Act means applying AI in workflows for continuous improvement. Learn means AI systems are always training to get smarter over time.
This document discusses an AI-powered insurer of the future. Key points:
- Advances in data, AI, and cloud computing are changing insurer functions like underwriting, claims, and customer service by bridging gaps between value chain components.
- Insurers of the future will require new skills like using AI to personalize customer experiences, augmenting internal data with external sources, and leveraging AI and data for superior claims handling.
- Insurers can take either a defensive or offensive strategy to AI - defensive focuses on compliance while offensive uses data and AI to solve business problems and improve competitiveness.
- Insurers are using a range of AI techniques like natural language processing, predictive
AI in Action: Real World Use Cases by AnitarajAnitaRaj43
The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation.
The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.
Artificial intelligence in digital marketingMatthewPylant
Artificial intelligence (AI) is intelligence demonstrated by machines, in contrast to natural human intelligence. AI has the potential to change the future of digital marketing by lowering costs, allowing marketing programs to run autonomously, and making it easier for businesses to understand customer interactions on their websites. Implementing AI for digital marketing can provide cheaper marketing, better customer service, automated reports, self-learning capabilities to discover new marketing strategies, and personalized customer experiences through content generation. However, some consumers may be wary of AI monitoring their online activities and could use ad blockers or other means to avoid this. Proper implementation of AI for digital marketing requires hiring AI and marketing professionals to develop the technology and monitor its performance.
The document provides an introduction to artificial intelligence (AI), including its history and limitations. It discusses 5 main limitations of AI: data, cultural limitations, bias, emotional intelligence, and lack of a strategic approach. It then discusses 5 key advantages: reduction in human error, taking risks instead of humans, availability 24/7, helping with repetitive jobs, and digital assistance. Finally, it covers 5 disadvantages: high creation costs, making humans lazy, unemployment, lack of emotions, and inability to think outside the box. The document thus provides a broad overview of the history, limitations, advantages and disadvantages of artificial intelligence.
Top 5 Deep Learning and AI Stories - April 20, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: the 5 AI basics every business executive should know, Canon Medical Systems partners with NVIDIA to advance AI in healthcare, auditors use AI to detect accounting fraud, AI system reduces risk in M&A, and researchers develop an AI system that can process sound as well as humans.
AI Restart 2023: Guillermo Alda - How AI is transforming companies, inside outTaste
Companies which want to benefit from the transformative power of AI need to embrace change and adapt their organizations with new roles and organizational structure. Disclaimer: AI is not taking your job.
The document discusses the key components of AI: discover, predict, justify, act, and learn. Discover refers to collecting data, which is important for fueling AI. Predict involves using analytics tools to analyze data and predict future outcomes. Justify is about explaining AI reasoning to build trust. Act means applying AI in workflows for continuous improvement. Learn means AI systems are always training to get smarter over time.
This document discusses an AI-powered insurer of the future. Key points:
- Advances in data, AI, and cloud computing are changing insurer functions like underwriting, claims, and customer service by bridging gaps between value chain components.
- Insurers of the future will require new skills like using AI to personalize customer experiences, augmenting internal data with external sources, and leveraging AI and data for superior claims handling.
- Insurers can take either a defensive or offensive strategy to AI - defensive focuses on compliance while offensive uses data and AI to solve business problems and improve competitiveness.
- Insurers are using a range of AI techniques like natural language processing, predictive
4 Steps To Using AI Ethically In Your Organization Bernard Marr
AI can do incredible things, but just because something is possible doesn't mean it's right. There’s enormous potential for backlash against the misuse of AI, and policymakers and regulators will no doubt take an increasing interest in AI. This means it’s vital organizations pursue an ethical use of AI.
Are We Generation AI? An Introduction to Applications, Benefits, and Challenges of AI for Small and Medium Sized Business. Presented at the WIN.fbg meeting in Fredericksburg, TX on April 11, 2023.
How To Identify The Best AI Opportunities For Your Business – In 2 Simple Steps Bernard Marr
Artificial Intelligence (AI) is the biggest and most transformative technology trend of our time. Every business, big or small, will have to consider the impact of AI on their organization. Here we look at how you do this in practice.
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.
The AI Revolution - Oregon Realtors - Aaron Stelle WFG Title Aaron Stelle
In this presentation, Aaron Stelle, VP of Marketing and Technology for WFG National Title, talks about the 4th technological revolution which is AI. This focuses on the application for the Real Estate industry and ChatGPT but touches on multiple other uses and AI companies. This presentation was done for the Oregon Realtors on 4/25/2023.
Emeritus Insights Live - AI & Business Strategy - 20th Apr 2023.pdfClark Boyd
What You Will Learn –
Understand the current landscape of AI in business and why now is the opportune moment to integrate AI into your organization.
Delve into the pros and cons of generative AI, exploring its potential benefits and drawbacks in various business applications.
Gain insights into real-life examples and case studies of businesses that have successfully integrated AI into their strategies, and learn from their experiences and outcomes.
Acquire the knowledge and tools necessary to analyze your company's readiness and potential for AI integration, taking into account your unique business context and objectives.
Explore future trends and developments in AI technology.
Research presentation on the impact of AI on the advertising and CX landscape.
We start with a short introduction of AI, the causes of recent focus and hype, as well as a simplified model to compartmentalise different AI models.
The presentation constructs a framework to assess the potential impact of AI against :
- the complexity of the work
- the type of work being done - analysis, decision-making, and execution.
Based on the framework, the presentation argues for four possible futures:
- Creativity at the centre
- Digitalization of marketing
- Efficiency of marketing
- Impact of marketing
Furthermore, the presentation lists dangers and limitations inherent in the technology, as well as how agencies or individuals can get started to navigate the unknown future.
At its conclusion, it's argued that AI will likely have a substantial impact on the advertising and marketing industry. The agency business model is already under strain and will need to quickly adapt in light of significant threats posed by continued advancements in automation and generative AI models.
This document provides an overview of conversational AI and discusses emerging technologies like general and narrow AI. It begins by discussing the evolution of chatbots and how most current AI chatbots work using data correlation rather than causation. It then distinguishes between narrow AI, which can perform repetitive tasks with limited abilities, and general AI, which does not currently exist but would have unlimited abilities and ability to self-program. The document outlines some examples of how companies are using machine learning and AI to improve business operations. It emphasizes the importance of transparency, explainability, security and predictability for practical narrow AI applications. Finally, it discusses the importance of digital identity and outlines statistics on the potential impacts of good digital identity systems.
This document provides an overview of conversational AI and discusses narrow artificial intelligence. It begins with background on industrial revolutions and the evolution of chatbots. It then explains how most AI chatbots work today and discusses the development behind them. It notes the difference between narrow AI, which performs repetitive tasks with limited abilities, and general AI, which can perform many tasks and self-program. The document outlines keys steps to practical narrow AI, including predictability, explainability, security and transparency. It discusses the importance of good digital identity and its role in facilitating interactions between individuals and institutions.
Ai and Design: When, Why and How? - Morgenbooster1508 A/S
This year, A and I became the probably most used letters in the alphabet. Time to reflect upon the role we play as designers in an increasingly AI-driven landscape.
5 ways to enhance your business using ai venkat k - mediumusmsystem
Artificial intelligence (AI) is fast becoming a competitive tool in business. Companies have been discussing the pros and cons of AI in the past. From enhanced chatbots to customer service to data analytics to recommendations, deep learning and artificial intelligence are seen as an important tool for business leaders in their many forms.
AI & DEI: With Great Opportunities Comes Great HR ResponsibilityAggregage
https://www.humanresourcestoday.com/frs/26184029/ai---dei--with-great-opportunities-comes-great-hr-responsibility
The promise of AI for today’s organizations is real, yet in a frenzied state of experimentation, many stumble to get to a full-scale enterprise. As companies race to discover what generative AI can do, HR must lead conversations about how to balance cutting-edge innovations with integrity, trust, and diversity. Globally, organizations are at a critical intersection of Diversity, Equity, Inclusion, and AI acceleration. We will explore how AI is rapidly transforming workplace dynamics and decision-making processes. The safety and protection of the workforce have never been more important and need to be co-led by HR to prevent biases and ensure fair and equitable representation in systems, hiring, and the workforce evolution.
We'll cover:
• The opportunities that AI presents and the responsibility of HR
• How to enhance diverse perspectives in use cases
• Increasing collaboration between AI Developers, HR, Legal and IT
5 ways to enhance your business using ai venkat k - mediumusmsystem
“Artificial intelligence (AI)” is fast becoming a competitive tool in business. Companies have been discussing the pros and cons of AI in the past. From enhanced chatbots to customer service to data analytics to recommendations, deep learning and artificial intelligence are seen as an important tool for business leaders in their many forms.
Over the past few years, we have seen that the amount of user data is being compromised. As the Internet of Things (IoT) and widespread Internet usage have caught on, cybercrime has grown rapidly. This not only compromises consumers but also damages the reputation of companies.
Artificial Intelligence: How to prepare yourself for the futureFolasade Adedeji
This document provides an overview of artificial intelligence (AI) and discusses how to position oneself for a career in AI. It defines AI and describes how machines are getting smarter, with algorithms detecting disease outbreaks faster than humans and driverless cars projected to make up 75% of traffic by 2040. The document outlines various AI applications, subfields, and how AI works using large data and algorithms. It also discusses limitations of AI and careers in AI like machine learning engineering. It advises keeping up with trends, learning new technologies, and developing soft skills to succeed in an AI-influenced future.
The document discusses the impact and possibilities of artificial intelligence (AI) in business. It explains that AI is rapidly being adopted in business and resulting in a fundamental shift in how businesses operate. The document provides examples of how AI can be applied across various business functions through automation, machine learning, and robotic process automation. It discusses how AI can free up human workers to focus on more strategic tasks by handling repetitive processes. Overall, the document argues that AI can improve business operations, efficiency, customer experience, and decision making when applied appropriately.
This whitepaper provides an overview of artificial intelligence (AI) and its commercialization. It discusses the history and development of AI from early pattern recognition (AI 1.0) to today's deep learning (AI 2.0) to the emerging contextual reasoning (AI 3.0). Key points include how transfer learning and increased computing power are driving new AI applications and how AI is being applied commercially in healthcare, manufacturing, logistics, and other industries. The document also addresses the global demand for AI talent and the challenges of developing reliable AI systems that can operate under changing conditions.
This document provides an overview of social media marketing and best practices. It discusses setting up social media profiles and pages for businesses, creating a content calendar, using hashtags and engaging with audiences. Key platforms covered include Facebook, Instagram, Twitter, LinkedIn, YouTube and WhatsApp. Analytics and tools for planning, scheduling and designing social media content are also mentioned. The overall document aims to educate on developing an effective social media strategy and presence for businesses.
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What You Will Learn –
Understand the current landscape of AI in business and why now is the opportune moment to integrate AI into your organization.
Delve into the pros and cons of generative AI, exploring its potential benefits and drawbacks in various business applications.
Gain insights into real-life examples and case studies of businesses that have successfully integrated AI into their strategies, and learn from their experiences and outcomes.
Acquire the knowledge and tools necessary to analyze your company's readiness and potential for AI integration, taking into account your unique business context and objectives.
Explore future trends and developments in AI technology.
Research presentation on the impact of AI on the advertising and CX landscape.
We start with a short introduction of AI, the causes of recent focus and hype, as well as a simplified model to compartmentalise different AI models.
The presentation constructs a framework to assess the potential impact of AI against :
- the complexity of the work
- the type of work being done - analysis, decision-making, and execution.
Based on the framework, the presentation argues for four possible futures:
- Creativity at the centre
- Digitalization of marketing
- Efficiency of marketing
- Impact of marketing
Furthermore, the presentation lists dangers and limitations inherent in the technology, as well as how agencies or individuals can get started to navigate the unknown future.
At its conclusion, it's argued that AI will likely have a substantial impact on the advertising and marketing industry. The agency business model is already under strain and will need to quickly adapt in light of significant threats posed by continued advancements in automation and generative AI models.
This document provides an overview of conversational AI and discusses emerging technologies like general and narrow AI. It begins by discussing the evolution of chatbots and how most current AI chatbots work using data correlation rather than causation. It then distinguishes between narrow AI, which can perform repetitive tasks with limited abilities, and general AI, which does not currently exist but would have unlimited abilities and ability to self-program. The document outlines some examples of how companies are using machine learning and AI to improve business operations. It emphasizes the importance of transparency, explainability, security and predictability for practical narrow AI applications. Finally, it discusses the importance of digital identity and outlines statistics on the potential impacts of good digital identity systems.
This document provides an overview of conversational AI and discusses narrow artificial intelligence. It begins with background on industrial revolutions and the evolution of chatbots. It then explains how most AI chatbots work today and discusses the development behind them. It notes the difference between narrow AI, which performs repetitive tasks with limited abilities, and general AI, which can perform many tasks and self-program. The document outlines keys steps to practical narrow AI, including predictability, explainability, security and transparency. It discusses the importance of good digital identity and its role in facilitating interactions between individuals and institutions.
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• The opportunities that AI presents and the responsibility of HR
• How to enhance diverse perspectives in use cases
• Increasing collaboration between AI Developers, HR, Legal and IT
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Over the past few years, we have seen that the amount of user data is being compromised. As the Internet of Things (IoT) and widespread Internet usage have caught on, cybercrime has grown rapidly. This not only compromises consumers but also damages the reputation of companies.
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Understanding Power Automate
Efficiency is critical in the fast-paced digital environment of today. Whether you’re trying to manage a major organization, a small business, or just your own personal tasks, automating processes can help you increase productivity, cut down on errors, and save time. This is where Power Automate and other such technologies are useful.
What is Power Automate?
Microsoft created Power Automate, a potent tool for workflow automation. With Power Automate, formerly known as Microsoft Flow, users can automate processes between their preferred apps and services to synchronize files, receive notifications, gather statistics, and more without having to know a lot of code.
How Does Power Automate Work?
Fundamentally, Power Automate works on the straightforward tenet that something should happen if this does. Workflows, or “flows,” made up of triggers and actions, can be created by users. Triggers, such as getting an email or adding a file to a folder, start the flow in response to a particular occurrence. Actions are the tasks performed as a result of the trigger, such as sending an email, updating a spreadsheet, or posting a message to a chat platform.
Key Features of Power Automate
Power Automate seamlessly integrates with a plethora of Microsoft and third-party apps like Office 365, SharePoint, Dynamics 365, and Salesforce, facilitating automation across diverse platforms and services. The mobile app ensures accessibility from any location, enabling users to create, monitor, and manage workflows directly from their mobile devices. Power Automate offers robust analytics tools for monitoring workflow performance, pre-built templates for common scenarios, and extensive customization options, allowing users to tailor processes to suit their specific requirements.
Use Cases for Power Automate
Automated Email Responses: Set up a flow to automatically respond to incoming emails with predefined messages, freeing up time for more important tasks.
Document Approval Workflows: Streamline the approval process by automating notifications and tracking for document reviews.
Social Media Management: Automate posts and interactions across multiple social media platforms.
Data Collection and Analysis: Aggregate data from various sources and automate report generation.
Task Management: Automatically create, assign, and track tasks within your project management tools.
Conclusion
For automating operations in a variety of apps and services, Power Automate provides an easy-to-use and adaptable solution. Power Automate may help you save time, minimize errors, and concentrate on what really matters whether you’re a project manager trying to increase productivity, a business owner trying to optimize operations, or an individual trying to simplify daily duties. Power Automate’s user-friendly interface, multitude of integration possibilities, and potent customization features enable customers to automate their way to increased success.
Revolutionizing Business Processes with SharePoint Online and Power AppsBert Blevins
In today’s fast-paced business environment, organizations need robust, flexible, and efficient tools to manage their operations and processes. Microsoft SharePoint Online and Power Apps are two such tools that, when combined, offer powerful solutions for automating workflows, managing data, and enhancing productivity. SharePoint Online provides a cloud-based platform for creating, managing, and sharing content seamlessly within the Microsoft 365 suite, offering features like document management, team collaboration, content publishing, and integration with other Microsoft services.
Power Apps complements SharePoint Online by enabling users to build custom applications tailored to specific business needs. With its user-friendly, drag-and-drop interface, Power Apps allows for the creation of applications without the need for extensive coding knowledge. Users can automate workflows, connect data from various sources, and design mobile-friendly apps that ensure productivity on the go. This combination of SharePoint Online and Power Apps empowers organizations to create bespoke solutions, enhancing their ability to respond to unique business challenges and streamline their operations.
The integration of SharePoint Online and Power Apps can significantly enhance data management. SharePoint Online serves as a powerful repository for storing and organizing data, while Power Apps provides an intuitive interface for interacting with this data. By creating forms and interfaces that read from and write to SharePoint lists and libraries, businesses can ensure efficient data entry and retrieval. This seamless interaction between the two platforms enables real-time updates and tracking, thereby improving data accuracy and accessibility.
Furthermore, the collaboration and productivity benefits of combining SharePoint Online with Power Apps cannot be overstated. Custom apps hosted on SharePoint Online facilitate more efficient team collaboration by centralizing project documentation, assigning tasks, tracking progress, and improving communication. Additionally, the mobility offered by Power Apps ensures that employees can access vital business applications from any location, enhancing overall productivity and responsiveness. This synergy between SharePoint Online and Power Apps offers a compelling solution for businesses looking to revolutionize their processes and drive innovation.
EU Artificial Intelligence Act (High-level summary of the AI Act)prb404
Updated on 30 May in accordance with the Corrigendum version of the AI Act.
In this article we provide you with a high-level summary of the AI Act, selecting the parts which are most likely to be relevant to you regardless of who you are. We provide links to the original document where relevant so that you can always reference the Act text.
To explore the full text of the AI Act yourself, use our AI Act Explorer. Alternatively, if you want to know which parts of the text are most relevant to you, use our Compliance Checker.
View as PDF
Four-point summary
The AI Act classifies AI according to its risk:
Unacceptable risk is prohibited (e.g. social scoring systems and manipulative AI).
Most of the text addresses high-risk AI systems, which are regulated.
A smaller section handles limited risk AI systems, subject to lighter transparency obligations: developers and deployers must ensure that end-users are aware that they are interacting with AI (chatbots and deepfakes).
Minimal risk is unregulated (including the majority of AI applications currently available on the EU single market, such as AI enabled video games and spam filters – at least in 2021; this is changing with generative AI).
The majority of obligations fall on providers (developers) of high-risk AI systems.
Those that intend to place on the market or put into service high-risk AI systems in the EU, regardless of whether they are based in the EU or a third country.
And also third country providers where the high risk AI system’s output is used in the EU.
Users are natural or legal persons that deploy an AI system in a professional capacity, not affected end-users.
Users (deployers) of high-risk AI systems have some obligations, though less than providers (developers).
This applies to users located in the EU, and third country users where the AI system’s output is used in the EU.
General purpose AI (GPAI):
All GPAI model providers must provide technical documentation, instructions for use, comply with the Copyright Directive, and publish a summary about the content used for training.
Free and open licence GPAI model providers only need to comply with copyright and publish the training data summary, unless they present a systemic risk.
All providers of GPAI models that present a systemic risk – open or closed – must also conduct model evaluations, adversarial testing, track and report serious incidents and ensure cybersecurity protections.
Enhancing Security with Multi-Factor Authentication in Privileged Access Mana...Bert Blevins
In the ever-evolving landscape of cybersecurity, safeguarding sensitive data and critical systems has become paramount. As cyber threats grow in sophistication, organizations are constantly seeking innovative methods to fortify their defenses. Multi-Factor Authentication (MFA) stands out as a potent tool within the security arsenal, particularly when integrated with Privileged Access Management (PAM).
Privileged access management encompasses the methods, protocols, and tools employed to regulate and monitor access to privileged accounts within an organization. These accounts wield elevated privileges, enabling users to execute vital operations such as system configuration, access to sensitive data, and management of network infrastructure. However, if these privileges fall into the wrong hands, they pose a significant security risk. MFA adds an additional layer of protection by requiring users to provide multiple forms of verification before gaining access to a system or application. Key components of MFA in PAM include biometric verification, passwords, security tokens, and one-time passcodes. Deploying MFA within a PAM environment necessitates meticulous planning and consideration of various factors to ensure robust security.
Ethics guidelines for trustworthy AI (HIGH-LEVEL EXPERT GROUP ON ARTIFICIAL I...prb404
On 8 April 2019, the High-Level Expert Group on AI presented Ethics Guidelines for Trustworthy Artificial Intelligence. This followed the publication of the guidelines' first draft in December 2018 on which more than 500 comments were received through an open consultation.
According to the Guidelines, trustworthy AI should be:
(1) lawful - respecting all applicable laws and regulations
(2) ethical - respecting ethical principles and values
(3) robust - both from a technical perspective while taking into account its social environment
2. AGENDA
What is AI?
The threats.
What can it do for me?
AI tools overview.
The major GPT’s and what
they can do.
Other AI tools.
Prompts: engineering,
chaining, mastery.
AI strategy?
AI policy?
Practical applications.
Learn more
Now what? ( verify, AI dream
team, experiment )
10. But is it just for marketing?
Legal
Real estate
Consulting Marketing
Finance
Outreach
Business strategy
Customer service
Health tech Creativity
Social media
management
HR
Content creation &
editing
Therapy
Learning and
development
Science
Logistics
Manufacturing
Administration
Writing
Coding
34. AI workflow automation harnesses the
prowess of artificial intelligence to streamline
mundane tasks like data entry, processing,
and analysis. By delegating these repetitive
tasks to computers, businesses can
significantly enhance efficiency and
productivity.
In terms of what we are dealing with it is mostly what is referred to as LLM: large language models and machine learning.
1.Accusations of plagiarism, potentially resulting in losing clients or jobs and damaging your reputation.
2.Unintentional copyright infringement, with the risk of legal consequences.
3.Generic content creation that may diminish your professional value.
4.Negative public reaction, especially if you misjudge the public or private sentiment of AI, which is trending negatively.
5.Possible bans or blacklisting from Google or social media platforms that are cracking down on excessive AI generated content to cheat the algorithms.
6.Pivoting your business or career to a niche that could eventually be automated by AI itself.
1. Common fear: “AI will replace my job”
Why it’s wrong:
AI is a tool, not a replacement.
Just like computers and electricity, it enhances what you do.
No matter what your job is.
2. Common fear: “AI creates soulless work”
Why it’s wrong:
AI is only as good as the person using it.
A good creator uses AI to make their work better.
The reality: AI is just another tool in your toolkit.
3. Common fear: “AI will make everyone a creator”
Why it’s wrong:
Not everyone can use AI effectively.
It takes skill to use AI well.
Embrace AI at every stage.
Too many people fear AI will take over their jobs and creativity.
They misunderstand what AI really does.
But the sooner you see AI as an enhancer, the sooner you will expand as fast as AI grows.
Learning and development: With personalized learning platforms and content translation, AI can redefine the education sector, reducing dependence on educators for routine learning processes.
Legal: With AI, simple legal issues such as parking citations can be addressed without an attorney, making legal services more accessible.
Health tech: AI tools, from medical diagnostics to pet care, can provide health advice or care routines without an in-person consultation.
Content creation and editing: Innovations in AI tools are making content production possible to the extent that a detailed blog post can be generated in seconds.
Real estate: AI’s ability to predict property values and manage listings may eliminate the need for real estate brokers in some transactions.
Social media management: Advanced algorithms are refining scheduling and content strategy decisions, allowing a week’s worth of social media posts to be scheduled in minutes.
Outreach: AI can predict revenue and manage pipelines, making some sales strategy roles less critical.
Marketing: With AI, tailored and effective advertising campaigns can be created and scheduled, eliminating the need for a full-time marketing manager.
Customer service: AI chatbots can automate customer service responses, reducing the need for customer service or call center employees.
Finance: AI systems can now manage tax deductions or plan personal finances, reducing the need for a financial advisor.
Therapy: AI can provide therapy services with predictive analytics, making access to mental health services more straightforward without immediate human intervention
Creativity: AI can generate design layouts and even write poetry, making a graphic designer or writer less necessary for routine tasks.
HR: AI systems can streamline recruitment processes and improve performance management, potentially reducing the need for HR personnel in these areas.
Business strategy: Advanced tools can generate innovative business models that would traditionally require a whole team of strategic planners.
Consulting: Improved decision making and operational efficiency achieved by AI systems can make dedicated business consultants less relevant in certain areas.
Science: AI can simplify complex content summarizing, which might take considerable amounts of time for a team of researchers.
Administration: With AI, administrative tasks like schedule organization and communication can be managed without dedicated admin personnel.
Logistics: AI can optimize routes in real time and manage inventory, reducing the need for manual intervention in these areas.
Writing: AI can generate a creative short story or proofread a document, taking over tasks traditionally done by writers and editors.
Manufacturing: Automated production lines and predictive maintenance systems can operate without round-the-clock manual supervision.
Coding: AI can design a website or code an app in a fraction of the time a website designer or coder can.
Let’s look at co-pilot’s best uses / features
Refer to Copilot ebook
Arena leaderboard, ranking LLM’s in terms of their output.
E-E-A-T: expertise, experience, authoritativeness, and trustworthiness.
Original content has been proven to fair better in search engine results: Neil Patel.
Avoid elaborate or overtly complicated or vague instructions.
It can lead to irrellevant or inaccurate outputs.
This is a process and trial and error and through critical thinking you will get more adept at it and see better results.
The danger from badly structured prompts is getting ai results from other ai generated content.
Get more done by letting AI assist
Expand your creativity with ideas / ideation by AI
Tailor outputs to your needs and preferences
Reconsider whether expert is needed for a niche project.
Set-up custom workflows for repitive processes.
Learn how?
Democratisation of information.
Trip to NAM on PI
Use verbs: Whether it's crafting compelling marketing copy, generating insightful reports, or connecting with your audience on social media, the right verb sets the stage for AI to bring your vision to reality. Predict. Connect. Announce. Reveal. Convince
Reward: Ridiculous? Maybe, but it seems to elicit a better response.
Context: By infusing context into your prompts you empower AI models to perform better and deliver more nuanced, accurate, and relevant responses tailored to your specific needs and objectives.
Examples: By consistently feeding AI with diverse and relevant examples, you contribute to its ongoing learning and refinement, ultimately enabling it to deliver more accurate, insightful, and contextually appropriate responses, much like a well-trained staff member who continually grows and adapts to new challenges.
Persona: While choosing to imitate well-known figures may seem appealing, it often constrains the AI's potential by limiting its output to mimic previously established identities. A far more effective approach is to empower the AI to take on a bespoke persona, rich in expertise and attributes that are unique to you. Crafting a persona has a profound impact on how the AI processes requests and formulates responses. A well-defined persona enriches the artificial intelligence's capabilities, allowing it to convincingly emulate the intelligence, wisdom, and creative problem-solving skills of the projected personality.
Format: table, bullet points, email, memo, code, etc.
Tone: Excited vs Direct Tone. Professional vs Casual.
Creativity: when it comes to either text or images, inspire it to be more creative: • Trendsetting, • Innovative, • Dynamic, • Compelling, • Impactful
Use verbs: Whether it's crafting compelling marketing copy, generating insightful reports, or connecting with your audience on social media, the right verb sets the stage for AI to bring your vision to reality. Predict. Connect. Announce. Reveal. Convince
Reward: Ridiculous? Maybe, but it seems to elicit a better response.
Context: By infusing context into your prompts you empower AI models to perform better and deliver more nuanced, accurate, and relevant responses tailored to your specific needs and objectives.
Examples: By consistently feeding AI with diverse and relevant examples, you contribute to its ongoing learning and refinement, ultimately enabling it to deliver more accurate, insightful, and contextually appropriate responses, much like a well-trained staff member who continually grows and adapts to new challenges.
Persona: While choosing to imitate well-known figures may seem appealing, it often constrains the AI's potential by limiting its output to mimic previously established identities. A far more effective approach is to empower the AI to take on a bespoke persona, rich in expertise and attributes that are unique to you. Crafting a persona has a profound impact on how the AI processes requests and formulates responses. A well-defined persona enriches the artificial intelligence's capabilities, allowing it to convincingly emulate the intelligence, wisdom, and creative problem-solving skills of the projected personality.
Format: table, bullet points, email, memo, code, etc.
Tone: Excited vs Direct Tone. Professional vs Casual.
Creativity: when it comes to either text or images, inspire it to be more creative: • Trendsetting, • Innovative, • Dynamic, • Compelling, • Impactful
Use verbs: Whether it's crafting compelling marketing copy, generating insightful reports, or connecting with your audience on social media, the right verb sets the stage for AI to bring your vision to reality. Predict. Connect. Announce. Reveal. Convince
Reward: Ridiculous? Maybe, but it seems to elicit a better response.
Context: By infusing context into your prompts you empower AI models to perform better and deliver more nuanced, accurate, and relevant responses tailored to your specific needs and objectives.
Examples: By consistently feeding AI with diverse and relevant examples, you contribute to its ongoing learning and refinement, ultimately enabling it to deliver more accurate, insightful, and contextually appropriate responses, much like a well-trained staff member who continually grows and adapts to new challenges.
Persona: While choosing to imitate well-known figures may seem appealing, it often constrains the AI's potential by limiting its output to mimic previously established identities. A far more effective approach is to empower the AI to take on a bespoke persona, rich in expertise and attributes that are unique to you. Crafting a persona has a profound impact on how the AI processes requests and formulates responses. A well-defined persona enriches the artificial intelligence's capabilities, allowing it to convincingly emulate the intelligence, wisdom, and creative problem-solving skills of the projected personality.
Format: table, bullet points, email, memo, code, etc.
Tone: Excited vs Direct Tone. Professional vs Casual.
Creativity: when it comes to either text or images, inspire it to be more creative: • Trendsetting, • Innovative, • Dynamic, • Compelling, • Impactful
Step One: Gather Your Best Performing Content: articles, blogs, essays, speeches, etc. A selection.
Create a dedicated folder in your AI app, ie> personal documents, etc.
Step Two: Ask AI to analyze your writing style.
Step Three: Repeat the Analysis Process for every piece of content.
Step Four: Refine the Persona and Writing Style. • Compile the key attributes and traits derived from the analysis, such as tone, language use, and stylistic preferences: industry focus, years of experience, additional credentials, qualifications, or achievements, personal interests, values, or communication preferences.
Works well in ChatGPT plus where custom feautures are accessed.
THE idea is to utilise the prompting techniques, combiined with your ai -taught folders to make your daily tasks easier to implement.
Define Business Objectives
Assess Current Workflows
Identify AI Integration Opportunities
Categorize Required AI Tools
Evaluate and Select AI Tools
Define AI Automated Workflows
Document and Organize AI Tools
Implement and Train
Monitor Performance and Adjust
Continuous Learning and Adaptation
Define specific targets for how AI will help achieve the organization's overall plans and vision.
Set policies on how data needed for AI will be collected, stored, kept secure and private, and used ethically. Good data is crucial for AI.
Invest in cloud computing, scalable AI platforms, and other tech infrastructure required to build and run AI solutions effectively.
Provide training to help employees understand and use AI technologies. Foster a culture that embraces innovation through AI.
Develop clear rules and guidelines around ethical AI use, data privacy, security, and avoiding bias to ensure AI is used responsibly.
Have a plan to manage the significant changes AI will bring to processes, workflows, and culture. Communicate clearly and get the organization prepared to properly integrate AI.
Clear rules for AI: The company will use AI tools in a responsible way and tell you when they're being used (like for recommendations or decisions).
No sneaky AI: Important choices made by AI, especially those affecting you (like your job or service), will be clear and understandable.
Protecting your info: Your personal data will be kept safe and secure, following all the privacy laws.
Fairness for all: AI won't be biased against anyone. The company will check and fix any unfairness in the systems.
Humans in charge: People will always be in control of important decisions, even if AI helps with them.
Using AI for good: The company will only use AI for good purposes and consider the impact on people and society.
Keeping Up and Learning
Keeping AI policies up-to-date: The company will adjust these rules as AI changes and new laws come out.
Learning about AI: The company will train employees on how to use AI responsibly and how it might affect their jobs.
Implement Rate Limiting
This enables you to control the pace of data retrieval and reduce the risk of data misuse.
Utilise Selective IP Bans:
When necessary, consider implementing selective IP bans for addresses associated with egregious scraping activities. Maintain current blacklists from reputable sources like FireHOL to more effectively identify and target IPs with a known history of malicious activities. This balanced approach allows you to block high-risk threats while avoiding false positives.
Configuring Your Robots.txt
As a final measure, adding restrictions to your robots.txt file can be an effective strategy against unauthorised scraping. This simple text file gives instructions to well-behaved crawlers about which pages or sections of your site should not be accessed or indexed. While not failproof, a robots.txt file can deter scraping from many crawlers and better-behaved data mining operations.
As a final measure, adding restrictions to your robots.txt file can be an effective strategy against unauthorised scraping. This simple text file gives instructions to well-behaved crawlers about which pages or sections of your site should not be accessed or indexed. While not failproof, a robots.txt file can deter scraping from many crawlers and better-behaved data mining operations.