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.
A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value.
* Review AI as a priority for value generation
* Explore ongoing experimentation
* Touch on how businesses are monetising AI
* Understand the intent of adoption by industries
* Discuss on the state of customer trust in AI
Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI has dominated the headlines recently, which has caused many enterprises to put a full stop to implementing this technology until they can understand what’s behind the glitz and glamour. What if we shifted the conversation? What if the focus became a fresh, incremental approach to embracing the opportunities with generative artificial intelligence to keep organizations moving upward on the S Curve of Growth?
Brands stay relevant and solve complex problems by testing the barometer for one thing — will a new strategy, tool, or piece of technology improve humanity?
Human connections are more vital than using shiny new tools or technology. As your teams work to steer clear of the temptation to do what everyone else is doing in uniform, this post will highlight how to stand out, compete, and do so with less risk in today’s world of generative AI overload.
An overview of the most important AI capabilities in marketing, advertising and content creation. I made this presentation to inform, educate and inspire people in the creative industries to familiarise themselves with the incredible toolsets that are already here and in development. I also explain how generative Ai works explore some possible new roles and business models for agencies. Hope you enjoy it!
How can we use generative AI in learning products? A rapid introduction to generative AI. Presented at ED Games Expo 2023 at the U.S. Department of Education, September 22, 2023.
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.
A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value.
* Review AI as a priority for value generation
* Explore ongoing experimentation
* Touch on how businesses are monetising AI
* Understand the intent of adoption by industries
* Discuss on the state of customer trust in AI
Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
🔹How will AI-based content-generating tools change your mission and products?
🔹This complimentary webinar [ON-DEMAND] explores multiple use cases that drive adoption in their early adopter customer base to provide product leaders with insights into the future of generative AI-powered businesses, and the potential generative AI holds for driving innovation and improving business processes.
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI has dominated the headlines recently, which has caused many enterprises to put a full stop to implementing this technology until they can understand what’s behind the glitz and glamour. What if we shifted the conversation? What if the focus became a fresh, incremental approach to embracing the opportunities with generative artificial intelligence to keep organizations moving upward on the S Curve of Growth?
Brands stay relevant and solve complex problems by testing the barometer for one thing — will a new strategy, tool, or piece of technology improve humanity?
Human connections are more vital than using shiny new tools or technology. As your teams work to steer clear of the temptation to do what everyone else is doing in uniform, this post will highlight how to stand out, compete, and do so with less risk in today’s world of generative AI overload.
An overview of the most important AI capabilities in marketing, advertising and content creation. I made this presentation to inform, educate and inspire people in the creative industries to familiarise themselves with the incredible toolsets that are already here and in development. I also explain how generative Ai works explore some possible new roles and business models for agencies. Hope you enjoy it!
How can we use generative AI in learning products? A rapid introduction to generative AI. Presented at ED Games Expo 2023 at the U.S. Department of Education, September 22, 2023.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
Revolutionizing Marketing The AI Impact.pptxjay prajapati
This presentation is about the intersection of marketing and AI technology in today's world. It explores how technology and AI have changed the landscape of modern marketing, and discusses the potential benefits and drawbacks of using AI in marketing. The presentation defines key terms related to marketing and AI, and provides real-world examples of how companies are using AI in their marketing efforts. Overall, the goal of this presentation is to educate the audience on the ways that AI is changing the game in the marketing industry and to encourage them to consider the possibilities and challenges of integrating AI into their own marketing strategies.
AI and ML Series - Introduction to Generative AI and LLMs - Session 1DianaGray10
Session 1
👉This first session will cover an introduction to Generative AI & harnessing the power of large language models. The following topics will be discussed:
Introduction to Generative AI & harnessing the power of large language models.
What’s generative AI & what’s LLM.
How are we using it in our document understanding & communication mining models?
How to develop a trustworthy and unbiased AI model using LLM & GenAI.
Personal Intelligent Assistant
Speakers:
📌George Roth - AI Evangelist at UiPath
📌Sharon Palawandram - Senior Machine Learning Consultant @ Ashling Partners & UiPath MVP
📌Russel Alfeche - Technology Leader RPA @qBotica & UiPath MVP
[DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way peopl...DataScienceConferenc1
In recent years, generative AI has made significant advancements in language understanding and generation, leading to the development of chatbots like ChatGPT. These models have the potential to change the way people interact with technology. In this session, we will explore the advancements in generative AI. I will show how these models have evolved, their strengths and limitations, and their potential for improving various applications. Additionally, I will show some of the ethical considerations that arise from the use of these models and their impact on society.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
ChatGPT FOR STARTUPS is the ultimate guide for startup founders and founding teams who are looking for an advantage to scale their businesses faster and more resourcefully. In today’s competitive startup environment and constrained venture capital market, the pressure is on for startups to perform or risk failing. ChatGPT is a new disruptive technology that gives you access to a full range of corporate-sized departments, including finance, product development, operations, sales and marketing and customer service, without any additional expense or increasing your burn rate. This is an opportunity that is too good to miss – ignore it at your own peril or use it to scale your business faster and more efficiently than ever!
Amir Hegazi is the Managing Partner at CapitalDemocracy, a professional advisory firm that helps startups raise venture capital. Amir was the Director of Marketplace at Souq.com, MENA’s largest e-commerce platform (acquired by Amazon). He is an early pioneer of digital media in the Arab world, having launched the region’s largest online TV network at JumpTV. He is also an advisor to ministers and policy-makers. Amir is the author of Amazon bestseller Venture Adventure: Startup Fundraising Advice from Top Global Investors.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
Give a background of Data Science and Artificial Intelligence, to better understand the current state of the art (SOTA) for Large Language Models (LLMs) and Generative AI. Then start a discussion on the direction things are going in the future.
Explore how different industries are embracing the utility of AI to create and deliver new value for their customers and organisation
* Discuss the state of maturity of AI across industries
* Get an appreciation of business posture to AI projects
We also review the utility of AI across several industries including:
* Healthcare
* Newsroom & Journalism
* Travel
* Finance
* Supply Chain / eCommerce / Retail
* Streaming & Gaming
* Transportation
* Logistics
* Manufacturing
* Agriculture
* Defense & Cybersecurity
Part of the What Matters in AI series as published on www.andremuscat.com
Innnovations in online teaching and learning: CHatGPT and other artificial as...Rebecca Ferguson
Talk given by Agnes Kukulska-Hulme and Rebecca Ferguson to SciLab (a centre for pedagogical research and innovation in business and law) at The Open University, Milton Keynes, UK on Wednesday 3 May 2023.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
Leveraging Generative AI & Best practicesDianaGray10
In this event we will cover:
- What is Generative AI and how it is being for future of work.
- Best practices for developing and deploying generative AI based models in productions.
- Future of Generative AI, how generative AI is expected to evolve in the coming years.
Revolutionizing Marketing The AI Impact.pptxjay prajapati
This presentation is about the intersection of marketing and AI technology in today's world. It explores how technology and AI have changed the landscape of modern marketing, and discusses the potential benefits and drawbacks of using AI in marketing. The presentation defines key terms related to marketing and AI, and provides real-world examples of how companies are using AI in their marketing efforts. Overall, the goal of this presentation is to educate the audience on the ways that AI is changing the game in the marketing industry and to encourage them to consider the possibilities and challenges of integrating AI into their own marketing strategies.
AI and ML Series - Introduction to Generative AI and LLMs - Session 1DianaGray10
Session 1
👉This first session will cover an introduction to Generative AI & harnessing the power of large language models. The following topics will be discussed:
Introduction to Generative AI & harnessing the power of large language models.
What’s generative AI & what’s LLM.
How are we using it in our document understanding & communication mining models?
How to develop a trustworthy and unbiased AI model using LLM & GenAI.
Personal Intelligent Assistant
Speakers:
📌George Roth - AI Evangelist at UiPath
📌Sharon Palawandram - Senior Machine Learning Consultant @ Ashling Partners & UiPath MVP
📌Russel Alfeche - Technology Leader RPA @qBotica & UiPath MVP
[DSC DACH 23] ChatGPT and Beyond: How generative AI is Changing the way peopl...DataScienceConferenc1
In recent years, generative AI has made significant advancements in language understanding and generation, leading to the development of chatbots like ChatGPT. These models have the potential to change the way people interact with technology. In this session, we will explore the advancements in generative AI. I will show how these models have evolved, their strengths and limitations, and their potential for improving various applications. Additionally, I will show some of the ethical considerations that arise from the use of these models and their impact on society.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
ChatGPT FOR STARTUPS is the ultimate guide for startup founders and founding teams who are looking for an advantage to scale their businesses faster and more resourcefully. In today’s competitive startup environment and constrained venture capital market, the pressure is on for startups to perform or risk failing. ChatGPT is a new disruptive technology that gives you access to a full range of corporate-sized departments, including finance, product development, operations, sales and marketing and customer service, without any additional expense or increasing your burn rate. This is an opportunity that is too good to miss – ignore it at your own peril or use it to scale your business faster and more efficiently than ever!
Amir Hegazi is the Managing Partner at CapitalDemocracy, a professional advisory firm that helps startups raise venture capital. Amir was the Director of Marketplace at Souq.com, MENA’s largest e-commerce platform (acquired by Amazon). He is an early pioneer of digital media in the Arab world, having launched the region’s largest online TV network at JumpTV. He is also an advisor to ministers and policy-makers. Amir is the author of Amazon bestseller Venture Adventure: Startup Fundraising Advice from Top Global Investors.
GENERATIVE AI, THE FUTURE OF PRODUCTIVITYAndre Muscat
Discuss the impact and opportunity of using Generative AI to support your development and creative teams
* Explore business challenges in content creation
* Cost-per-unit of different types of content
* Use AI to reduce cost-per-unit
* New partnerships being formed that will have a material impact on the way we search and engage with content
Part 4 of a 9 Part Research Series named "What matters in AI" published on www.andremuscat.com
Give a background of Data Science and Artificial Intelligence, to better understand the current state of the art (SOTA) for Large Language Models (LLMs) and Generative AI. Then start a discussion on the direction things are going in the future.
Explore how different industries are embracing the utility of AI to create and deliver new value for their customers and organisation
* Discuss the state of maturity of AI across industries
* Get an appreciation of business posture to AI projects
We also review the utility of AI across several industries including:
* Healthcare
* Newsroom & Journalism
* Travel
* Finance
* Supply Chain / eCommerce / Retail
* Streaming & Gaming
* Transportation
* Logistics
* Manufacturing
* Agriculture
* Defense & Cybersecurity
Part of the What Matters in AI series as published on www.andremuscat.com
Innnovations in online teaching and learning: CHatGPT and other artificial as...Rebecca Ferguson
Talk given by Agnes Kukulska-Hulme and Rebecca Ferguson to SciLab (a centre for pedagogical research and innovation in business and law) at The Open University, Milton Keynes, UK on Wednesday 3 May 2023.
Machine learning is a term thrown around in technology circles with an ever-increasing intensity. Major
technology companies have attached themselves to
this buzzword to receive capital investments, and every
major technology company is pushing its even shinier
parentartificial intelligence (AI).
O'Reilly ebook: Machine Learning at Enterprise Scale | QuboleVasu S
Real-world data science practitioners offer perspectives and advice on six common Machine Learning problems
https://www.qubole.com/resources/ebooks/oreilly-ebook-machine-learning-at-enterprise-scale
Chasing Innovation: Exploring the Thrilling World of Prompt Engineering JobsFredReynolds2
Innovation has emerged as the driving force behind technological achievements and societal growth. Prompt engineering jobs, which their dynamic and advanced characteristics can identify, lead the way in this wave of innovation. Prompt engineering has become an important subject supporting productivity, efficiency, and problem-solving across various sectors in the quickly changing world of technology and innovation.
This is an article about Generative AI. It discusses what it is and the different techniques used to create it. It also goes into the potential uses of Generative AI. Some of the important points from this article are that Generative AI is still in its early stages but has already shown promising results. It is also important to note that Generative AI can be used to create fake data that is indistinguishable from real data.
https://www.ltimindtree.com/wp-content/uploads/2023/01/DeepPoV-Generative-AI.pdf
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docxcuddietheresa
Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what is typical for this program. Be mindful of this as you post and respond in the Discussion. Your post is due on Day 7 and your Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of business information systems available to support business operations, management, and strategy. As of 2013, these include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and operations that every organization must manage. The effective manager understands the purpose of these types of systems and how they can be best used to manage the organization's data and information.
In this Discussion, you will share your knowledge and findings related to business information systems and the role they play in your organization. You will also consider your colleagues' experiences to explore additional ways business information systems might be applied in your colleagues' organizations, or an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or business information systems used in your organization, or in one with which you are familiar.
· Discuss two examples of how these business information systems are affecting the organization you selected. Be sure to discuss how individual behaviors and organizational or individual processes are changing and what you can learn from the issues encountered.
· Summarize what you have learned about the importance of business information systems and why managers need to understand how systems can be used to the organization's advantage.
You should find and use at least one additional current article from a credible resource, either from the Walden Library or the Internet. Please be specific, and remember to use citations and references as necessary.
General Guidance: Your initial Discussion post, due by Day 7, will typically be 3–4 paragraphs in length as a general expectation/estimate. Refer to the rubric for the Week 1 Discussion for grading elements and criteria. Your Instructor will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business information systems have been applied in an organization with which you are familiar. Read through your colleagues' posts and by Day 3 (Week 2), respond to two of your colleagues in one or more of the following ways:
· Examine how the business information systems described by your colleague could be or are being used by your organization. Offer additional ways either organization might take advantage of these systems.
· Examine how the b ...
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
How is ChatGPT and AI Revolutionizing Adaptive Project Portfolio ManagementOnePlan Solutions
In the rapidly evolving landscape of adaptive project portfolio management, emerging technologies like ChatGPT, Microsoft Copilot, Sofia GPT, and other AI tools are becoming viable options for gaining additional insights and saving time in your portfolio of projects.
This webinar delves into the transformative potential of these tools, offering insights into how they can streamline processes, enhance decision-making, and drive efficiency in Adaptive Project Portfolio Management.
Key Takeaways:
Project Portfolio Prioritization: Understand the role of Sofia GPT in portfolio prioritization, which is crucial for effective resource allocation and achieving high-impact outcomes.
Resource Optimization & Risk Management: Delve into how Sofia GPT aids in resource optimization and risk identification, pivotal for maximizing ROI and proactive project management.
AI-Enhanced Portfolio Decision Making: Learn how Sofia GPT’s automation and predictive analytics complement ChatGPT and Copilot, streamlining tasks and enhancing data-driven decision-making.
Enhancing Data Integrity and Strategic Insights: Explore AI’s role in augmenting data entry and automating information retrieval, ensuring data accuracy and informed strategic decision-making.
ChatGPT Mastery and the chatGPT Handbook.pdfJirotgak Gotau
The book titled "Chat GPT Mastery and The Chat GPT Handbook" is a comprehensive guide that explores the fascinating world of AI-powered chatbots and the remarkable capabilities of ChatGPT, an advanced language model. With concise explanations, the book covers key concepts such as pre-processing, datasets, databases, GPT models, TPUs, and more.
Readers will discover how chatbots like ChatGPT can simulate human-like conversation, understand user prompts, and generate intelligent responses. The book delves into the intricacies of pre-training and fine-tuning, shedding light on how models like ChatGPT learn from vast amounts of data to provide personalized and engaging interactions.
Moreover, the book explores the broader landscape of AI technologies, including APIs, SDKs, and webhooks, which enable seamless integration of chatbots into various applications. It emphasizes the importance of user-centric design, inclusivity, and scalability in creating effective and user-friendly chatbot experiences.
Throughout the pages, readers will gain insights into advanced topics such as BERTScore, embeddings, multimodal capabilities, and transformative applications of AI. With concise and accessible explanations, this book is perfect for both beginners and enthusiasts seeking a deeper understanding of chatbots and their potential.
"Chat GPT Mastery and The Chat GPT Handbook" offers a captivating exploration of AI-driven conversational agents, empowering readers to grasp the intricacies of the technology and envision its transformative possibilities for practical application.
You can find more interesting books on chatGPT and Ai on amazon. Here's my link to the best ChatGPT and Ai books on amazon: https://amzn.to/43GLTUx
Ethics in AI & Overcoming Product Bias by Smartsheet Sr Dir PMProduct School
Main takeaways:
- Ethics in Artificial Intelligence
- Current industry practices in consumer internet space
- Ways to discover and overcome bias in products
Java is one of the most popular Object Oriented Programming language that is available in the IT market for than 20 years now. There are many open sourced products, projects and API's that run on JAVA technology. Since it is platform independent, It is always a popular choice for developers. Some of the advantages of Java includes it is easy to learn, it is object oriented, it is platform - independent, it is secure, robust and multi threaded. You can learn Java practically with us, because we are one of the best Java and J2ee training center in Chennai. Besides knowledge on Java is an great advantage if you want to learn android app development, Hadoop development, Selenium Web driver etc.. Besides Java developer positions are highly lucrative for freshers as well as experienced professionals. We are recognized as the Best Java and J2ee training center in Chennai because we collaborate with industry professionals to deliver the course. - See more at: http://www.metaforumtechnologies.com/training-courses/java-courses/java-j2ee-training-in-chennai#sthash.d96ImZ9b.dpuf
In this talk, I have discussed the issues around the need to recognize the business problem being solved, how to identify that, etc. rather than only focusing on the tech.
In this talk for the students of IIM Udaipur, I have discussed how AI as technology needs to deliver business value in order for AI as a discipline to be seen as relevant to business. I have also spoken briefly about my own research work.
What is #ThoughtLeadership? Is it mindless self-promotion, or is it more like some fancy management fad? Is it more like your social media presence, or sharing stories? What is the real deal here? In this talk, I have shared some ideas from others, and also some of my own learning over the years. Hope you find the answers you were looking for...
How does one go about blogging? Or, why to even blog in the first place? In this talk, I have shared some of my key learning over last 15 years of blogging
I delivered this guest lecture for the marketing team of Corteva Agriscience undergoing an executive program at ISB, Hyderabad. I have explained what is digital business model innovation, and how it could apply to agrobusinesses.
25 Years of Evolution of Software Product Management: A practitioner's perspe...Tathagat Varma
How has the role and function of product management evolved over the years? In this talk, I have shared my notes from my personal journey over the last 25 years.
I delivered a guest lecture for the students of the one-year Post Graduate program in Global Supply Chain Management offered by IIM Udaipur. In this talk, I focused on three dimensions of digital journey - technology, process (rather business models) and people.
Most small businesses struggle to see marketing results. In this session, we will eliminate any confusion about what to do next, solving your marketing problems so your business can thrive. You’ll learn how to create a foundational marketing OS (operating system) based on neuroscience and backed by real-world results. You’ll be taught how to develop deep customer connections, and how to have your CRM dynamically segment and sell at any stage in the customer’s journey. By the end of the session, you’ll remove confusion and chaos and replace it with clarity and confidence for long-term marketing success.
Key Takeaways:
• Uncover the power of a foundational marketing system that dynamically communicates with prospects and customers on autopilot.
• Harness neuroscience and Tribal Alignment to transform your communication strategies, turning potential clients into fans and those fans into loyal customers.
• Discover the art of automated segmentation, pinpointing your most lucrative customers and identifying the optimal moments for successful conversions.
• Streamline your business with a content production plan that eliminates guesswork, wasted time, and money.
Mastering Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
Monthly Social Media News Update May 2024Andy Lambert
TL;DR. These are the three themes that stood out to us over the course of last month.
1️⃣ Social media is becoming increasingly significant for brand discovery. Marketers are now understanding the impact of social and budgets are shifting accordingly.
2️⃣ Instagram’s new algorithm and latest guidance will help us maintain organic growth. Instagram continues to evolve, but Reels remains the most crucial tool for growth.
3️⃣ Collaboration will help us unlock growth. Who we work with will define how fast we grow. Meta continues to evolve their Creator Marketplace and now TikTok are beginning to push ‘collabs’ more too.
The Forgotten Secret Weapon of Digital Marketing: Email
Digital marketing is a rapidly changing, ever evolving industry--Influencers, Threads, X, AI, etc. But one of the most effective digital marketing tools is also one of the oldest: Email. Find out from two Houston-based digital experts how to maximize your results from email.
Key Takeaways:
Email has the best ROI of any digital tactic
It can be used at any stage of the customer journey
It is increasingly important as the cookie-less future gets closer and closer
Mastering Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
A.I. (artificial intelligence) platforms are popping up all the time, and many of them can and should be used to help grow your brand, increase your sales and decrease your marketing costs.In this presentation:We will review some of the best AI platforms that are available for you to use.We will interact with some of the platforms in real-time, so attendees can see how they work.We will also look at some current brands that are using AI to help them create marketing messages, saving them time and money in the process. Lastly, we will discuss the pros and cons of using AI in marketing & branding and have a lively conversation that includes comments from the audience.
Key Takeaways:
Attendees will learn about LLM platforms, like ChatGPT, and how they work, with preset examples and real time interactions with the platform. Attendees will learn about other AI platforms that are creating graphic design elements at the push of a button...pre-set examples and real-time interactions.Attendees will discuss the pros & cons of AI in marketing + branding and share their perspectives with one another. Attendees will learn about the cost savings and the time savings associated with using AI, should they choose to.
AI-Powered Personalization: Principles, Use Cases, and Its Impact on CROVWO
In today’s era of AI, personalization is more than just a trend—it’s a fundamental strategy that unlocks numerous opportunities.
When done effectively, personalization builds trust, loyalty, and satisfaction among your users—key factors for business success. However, relying solely on AI capabilities isn’t enough. You need to anchor your approach in solid principles, understand your users’ context, and master the art of persuasion.
Join us as Sarjak Patel and Naitry Saggu from 3rd Eye Consulting unveil a transformative framework. This approach seamlessly integrates your unique context, consumer insights, and conversion goals, paving the way for unparalleled success in personalization.
The What, Why & How of 3D and AR in Digital CommercePushON Ltd
Vladimir Mulhem has over 20 years of experience in commercialising cutting edge creative technology across construction, marketing and retail.
Previously the founder and Tech and Innovation Director of Creative Content Works working with the likes of Next, John Lewis and JD Sport, he now helps retailers, brands and agencies solve challenges of applying the emerging technologies 3D, AR, VR and Gen AI to real-world problems.
In this webinar, Vladimir will be covering the following topics:
Applications of 3D and AR in Digital Commerce,
Benefits of 3D and AR,
Tools to create, manage and publish 3D and AR in Digital Commerce.
In this presentation, Danny Leibrandt explains the impact of AI on SEO and what Google has been doing about it. Learn how to take your SEO game to the next level and win over Google with his new strategy anyone can use. Get actionable steps to rank your name, your business, and your clients on Google - the right way.
Key Takeaways:
1. Real content is king
2. Find ways to show EEAT
3. Repurpose across all platforms
It's another new era of digital and marketers are faced with making big bets on their digital strategy. If you are looking at modernizing your tech stack to support your digital evolution, there are a few can't miss (often overlooked) areas that should be part of every conversation. We'll cover setting your vision, avoiding siloes, adding a democratized approach to data strategy, localization, creating critical governance requirements and more. Attendees will walk away with actions they can take into initiatives they are running today and consider for the future.
For too many years marketing and sales have operated in silos...while in some forward thinking companies, the two organizations work together to drive new opportunity development and revenue. This session will explore the lessons learned in that beautiful dance that can occur when marketing and sales work together...to drive new opportunity development, account expansion and customer satisfaction.
No, this is not a conversation about MQLs and SQLs. Instead we will focus on a framework that allows the two organizations to drive company success together.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
Mastering Multi-Touchpoint Content Strategy: Navigate Fragmented User JourneysSearch Engine Journal
Digital platforms are constantly multiplying, and with that, user engagement is becoming more intricate and fragmented.
So how do you effectively navigate distributing and tailoring your content across these various touchpoints?
Watch this webinar as we dive into the evolving landscape of content strategy tailored for today's fragmented user journeys. Understanding how to deliver your content to your users is more crucial than ever, and we’ll provide actionable tips for navigating these intricate challenges.
You’ll learn:
- How today’s users engage with content across various channels and devices.
- The latest methodologies for identifying and addressing content gaps to keep your content strategy proactive and relevant.
- What digital shelf space is and how your content strategy needs to pivot.
With Wayne Cichanski, we’ll explore innovative strategies to map out and meet the diverse needs of your audience, ensuring every piece of content resonates and connects, regardless of where or how it is consumed.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
SMM Cheap - No. 1 SMM panel in the worldsmmpanel567
Boost your social media marketing with our SMM Panel services offering SMM Cheap services! Get cost-effective services for your business and increase followers, likes, and engagement across all social media platforms. Get affordable services perfect for businesses and influencers looking to increase their social proof. See how cheap SMM strategies can help improve your social media presence and be a pro at the social media game.
3. AI is getting
everywhere
inside the firm!
While current adoption
levels in Marketing are
comparatively lower
(25% widescale adoption
to AI being critical)
compared to most other
functions, it is projected
to rise up to 64% and
touch adoption levels
similar to most other
functions.
Source: https://www.insiderintelligence.com/content/5-charts-ai-role-marketing
4. Where all is AI entering
the Marketing?
• At a high-level, AI could be used for
marketing automation, personalization
and forecasting.
• Marketers are using AI to help with
their more top-of-funnel efforts, but
that may soon change.
• AI could take on a bigger role in
measurement and analytics as marketers
attempt to optimize their campaigns.
Source: https://www.insiderintelligence.com/content/5-charts-ai-role-marketing
5. What is driving this?
• Gather data-rich insights in a fraction of the time: AI also plays a pivotal role in
data analytics and performance measurement. AI enables marketers to track
campaign performance from mass-market messaging right down to individual social
media posts. With the power of AI, marketers can leverage thousands of data points
to optimise their measurement framework according to the targets and metrics that
matter to the business.
• Understand your target audience better: The data collected by AI can help
provide us with a better understanding of our customers by collecting and analysing
their social, behavioural and sales data so you can target your message to the right
audience and better anticipate their needs.
• Streamline operations: Data drives modern marketing practices and AI plays a
central role in achieving better business efficiencies and delivering better outcomes
across marketing operations. AI can help streamline marketing operations as it will
minimise the inefficiencies in your business’ operations allowing for more time to be
spent on strategic action.
Source: https://www.salesforce.com/in/resources/guides/role-of-ai-in-marketing/
6. What’s
impeding it?
• More than half (54%) of executives
worldwide feel their companies lack
the expertise and talent to
implement AI, according to a
Boston Consulting Group and MIT
Sloan Management Review survey.
Other barriers include a lack of
training and knowledge among staff
members, buy-in from senior
leaders, funding or resources, and
awareness about AI.
• These barriers are unlikely to change
in the year ahead as budgets are
tapped, margins are tighter than
ever, and layoffs continue.
8. ChatGPT Demo
• ChatGPT interacts in a conversational way.
The dialogue format makes it possible for
ChatGPT to answer followup questions, admit
its mistakes, challenge incorrect premises, and
reject inappropriate requests. ChatGPT is a
sibling model to InstructGPT, which is trained
to follow an instruction in a prompt and
provide a detailed response.
• Since its public beta in late 2022, it has
become among the fastest adopted hi-tech
products!
Source: https://openai.com/blog/chatgpt/
9. How ChatGPT is pre-trained?
• We trained this model using Reinforcement Learning from Human Feedback
(RLHF), using the same methods as InstructGPT, but with slight differences in the
data collection setup. We trained an initial model using supervised fine-tuning:
human AI trainers provided conversations in which they played both sides—the user
and an AI assistant. We gave the trainers access to model-written suggestions to help
them compose their responses. We mixed this new dialogue dataset with the
InstructGPT dataset, which we transformed into a dialogue format.
• To create a reward model for reinforcement learning, we needed to collect
comparison data, which consisted of two or more model responses ranked by quality.
To collect this data, we took conversations that AI trainers had with the chatbot. We
randomly selected a model-written message, sampled several alternative completions,
and had AI trainers rank them. Using these reward models, we can fine-tune the
model using Proximal Policy Optimization. We performed several iterations of
this process.
Source: https://openai.com/blog/chatgpt/
11. Limitations of ChatGPT
• ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers. Fixing this
issue is challenging, as: (1) during RL training, there’s currently no source of truth; (2) training the
model to be more cautious causes it to decline questions that it can answer correctly; and (3)
supervised training misleads the model because the ideal answer depends on what the model knows,
rather than what the human demonstrator knows.
• ChatGPT is sensitive to tweaks to the input phrasing or attempting the same prompt multiple
times. For example, given one phrasing of a question, the model can claim to not know the answer,
but given a slight rephrase, can answer correctly.
• The model is often excessively verbose and overuses certain phrases, such as restating that it’s a
language model trained by OpenAI. These issues arise from biases in the training data (trainers prefer
longer answers that look more comprehensive) and well-known over-optimization issues.12
• Ideally, the model would ask clarifying questions when the user provided an ambiguous query. Instead,
our current models usually guess what the user intended.
• While we’ve made efforts to make the model refuse inappropriate requests, it will sometimes respond
to harmful instructions or exhibit biased behavior. We’re using the Moderation API to warn or block
certain types of unsafe content, but we expect it to have some false negatives and positives for
now. We’re eager to collect user feedback to aid our ongoing work to improve this system.
Source: https://openai.com/blog/chatgpt/
12. Dall-E 2 Demo
• DALL·E 2 is a new AI system that can create realistic images and art from a
description in natural language. It can combine concepts, attributes, and styles.
• DALL·E 2 has learned the relationship between images and the text used to describe
them. It uses a process called “diffusion,” which starts with a pattern of random dots
and gradually alters that pattern towards an image when it recognizes specific aspects
of that image.
• DALL·E 2 can expand images beyond what’s in the original canvas, creating
expansive new compositions.
• DALL·E 2 can make realistic edits to existing images from a natural language
caption. It can add and remove elements while taking shadows, reflections, and
textures into account.
• DALL·E 2 can take an image and create different variations of it inspired by the
original.
Source: https://openai.com/dall-e-2/
19. But, there’s
also a lot of
Hype!!!
https://www.gartner.com/en/articles/the-4-trends-that-prevail-on-the-gartner-hype-cycle-for-ai-2021
20. …with alarmingly high failure rates!
• Gartner: 85% of AI projects will fail and deliver erroneous outcomes through 2022.
• MIT SMR: 70% of companies report minimal or no impact from AI. Among the
90% of companies that have made some investment in AI, fewer than 2 out of 5
report business gains from AI in the past three years.
• VentureBeat: 87% of data science projects never make it into production. Tom
Siebel says 99% of internal AI projects fail!
• Andrew Ng (HBR): It is not unusual for teams to celebrate a successful proof of
concept, only to realize that they still have another 12-24 months of work before the
system can be deployed and maintained.
https://research.aimultiple.com/ai-fail/
21. …And Low ROI & Long Payback periods!
The ROI for AI projects varies greatly,
based on how much experience an
organization has.
Leaders showed an average of a 4.3%
ROI for their projects, compared to only
0.2% for beginning companies.
Payback periods also varied, with leaders
reporting a typical payback period of
1.2 years and beginners at 1.6 years.
https://www2.deloitte.com/us/en/insights/industry/technology/artificial-intelligence-roi.html
22. So, What is AI?
Hint: There is nothing really “Intelligent” about it!
23. What is “Artificial Intelligence”, Or AI?
Prof John McCarthy, Father of Artificial Intelligence:
• Intelligence is the computational part of the ability to achieve goals in the
world. Varying kinds and degrees of intelligence occur in people, many
animals and some machines.
• Artificial Intelligence is the science and engineering of making intelligent
machines, especially intelligent computer programs. It is related to the
similar task of using computers to understand human intelligence, but AI
does not have to confine itself to methods that are biologically observable.
http://jmc.stanford.edu/artificial-intelligence/what-is-ai/index.html
24. Good Old Fashioned AI (GOFAI)
• Symbolic artificial intelligence is the term for the collection of all methods
in artificial intelligence research that are based on high-level symbolic (human-
readable) representations of problems, logic and search. Symbolic AI was the
dominant paradigm of AI research from the mid-1950s until the late 1980s.[1][2]
• John Haugeland gave the name GOFAI ("Good Old-Fashioned Artificial
Intelligence") to symbolic AI in his 1985 book Artificial Intelligence: The Very Idea,
which explored the philosophical implications of artificial intelligence research.
In robotics the analogous term is GOFR ("Good Old-Fashioned Robotics").[3]
• Researchers in the 1960s and the 1970s were convinced that symbolic approaches
would eventually succeed in creating a machine with artificial general
intelligence and considered this the goal of their field.
• However, the symbolic approach would eventually be abandoned, largely because of
the technical limits of this approach. It was succeeded by highly mathematical
Statistical AI which is largely directed at specific problems with specific goals, rather
than general intelligence. Research into general intelligence is now studied in the
exploratory sub-field of artificial general intelligence.
Symbolic Artificial Intelligence, https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence
26. Key milestones
• 1943: Walter Pitts & Warren McCullogh develop a computer model based on Neural Networks of human brain using a combination of algorithms and maths they called “threshold logic” to mimic the
thought process.
• 1950: Alan Turing proposes the imitation game, aka “Turing Test”
• 1952: Hodekin-Huxley paper of brain as neurons forming an electrical network
• 1956: John McCarthy coins the term “Artificial Intelligence” and organizes Dartmouth Summer Research Project, the first conference on AI.
• 1960s: Research labs established at MIT, Stanford, SRI, etc. to mimic human intelligence by problem-solving or playing games like checkers or chess.
• 1960: Henry Kelley develops the basics of continuous Back Propagation (backprop) model
• 1962: Stuart Dreyfus develops chain rule to simplify backprop.
• 1965: Alexey Grigoryevich Ivakhnenko & Valentin Grigorʹevich Lapa develop Deep Learning algorithms using polynomial activation functions and statistical analysis at each layer.
• 1970s: MYCIN was able to diagnose certain kinds of bacterial infections based on symptoms input.
• 1970s: A “prospector” expert system uncovers a hidden mineral deposit of porphyr molybdenum (a form of copper deposit) at Mount Tolman in the state of Washington.
• 1973-80s: First “AI Winter”
• 1981: John Searle proposes “Chinese Room”
• 1980s: Development of Expert Systems bring some successes (e.g. DEC’s XCON)
• 1985-90s: Second “AI Winter”
• 1979: Kunihiko Fukushima develops “Neocognitron” the first Convolutional Neural Network (CNN) with multiple pooling and convolutional networks that allows computer to “learn” to recognize visual
patterns using manually-adjustable “weights” of certain connections.
• 1990s: Focus shifts to “Intelligent Agents”
• 1997: IBM Deep Blue beats World Chess Champion Garry Kasparov (Artificial Intelligence)
• 2011: IBM Watson beats human players on US game show Jeopardy (Machine Learning)
• 2012: Deep Learning
• 2014: Ian Goodfellow creates Generative Adversarial Networks (GANs)
• 2016: Google’s AlphaGo beats boardgame Go master Lee Sedol (Deep Learning)
28. AI, ML, NN, DL…
• Machine learning, deep learning, and neural networks are all sub-fields
of artificial intelligence. However, deep learning is actually a sub-field
of machine learning, and neural networks is a sub-field of deep
learning.
• The way in which deep learning and machine learning differ is in how
each algorithm learns. Deep learning automates much of the feature
extraction piece of the process, eliminating some of the manual human
intervention required and enabling the use of larger data sets.
• Classical, or "non-deep", machine learning is more dependent on
human intervention to learn. Human experts determine the set of
features to understand the differences between data inputs, usually
requiring more structured data to learn.
Machine Learning, https://www.ibm.com/cloud/learn/machine-learning
29. Machine Learning
• Term coined by Arthur Samuel in 1959
• Machine learning is a branch of artificial intelligence (AI) and computer
science which focuses on the use of data and algorithms to imitate the
way that humans learn, gradually improving its accuracy.
• Through the use of statistical methods, algorithms are trained to make
classifications or predictions, uncovering key insights within data mining
projects. These insights subsequently drive decision making within
applications and businesses, ideally impacting key growth metrics.
https://www.ibm.com/cloud/learn/machine-learning
30. Potential of AI
•AI is the new electricity – Andrew Ng
•AI is more profound than fire or electricity – Sundar
Pichai
•People should stop training radiologists – Geoff Hinton,
2016, https://youtu.be/2HMPRXstSvQ
31. Where to use AI?
If a typical person can do a mental task with less
than one second of thought, we can probably
automate it using AI either now or in the near
future. – Andrew Ng
https://hbr.org/2016/11/what-artificial-intelligence-can-and-cant-do-right-now
32. So, why now?
After decades of start/stops, finally AI seems to be at the cusp of its (third) resurgence.
33. AI is the New Software!
• Machine learning was a huge leap from programmed instructions and if-
then statements that merely simulated the very human process of thinking
and making decisions.
• With machine learning, the machine no longer needs to be explicitly
programmed to complete a task; it can pour through massive data sets
and create its own understanding. It can learn from the data and create its
own model, one that represents the different rules to explain relationships
among data and use those rules to draw conclusions and make decisions
and predictions.
• A machine learning algorithm is a mathematical function that enables the
machine to identify relationships among inputs and outputs. The
programmer’s role has shifted from one of writing explicit
instructions to creating and choosing the right algorithms.
Rose, Doug. Artificial Intelligence for Business: What You Need to Know about Machine Learning and Neural Networks.
34. How is AI different from Software?
Traditional Software AI Software
Reasoning Deductive Inductive
Inputs Data + Program Data + Output
Logic Manually pre-programmed to perform a
specific task on a given dataset
Programmed to automatically keep learning rules
from a given dataset
Output Output Models, Rules
Learning Learns one-time from the programmer “Learns” constantly being the data
Resource Code Data
Solutions Deterministic Probabilistic
Output Consistently remains the same Can improve with usage (or degrade over time)
Business
model
One-time development efforts, followed by
multiple sales, and small maintenance effort
(optional)
Each project is one-off, and needs full lifecycle
management mandatorily
35. Limitations
of AI
When people talk about AI, machine learning, automation,
big data, cognitive computing, or deep learning, they’re
talking about the ability of machines to learn to fulfill
objectives based on data and reasoning. This is
tremendously important, and is already changing business
in practically every industry. In spite of all the bold
claims, there remain several core problems at the
heart of Artificial Intelligence where little progress
has been made (including learning by analogy, and
natural language understanding). Machine learning
isn’t magic, and the truth is we have neither the data
nor the understanding necessary to build machines
that make routine decisions as well as human beings.
https://hbr.org/2016/11/how-to-make-your-company-
machine-learning-ready
36. Failure Modes of AI
• Brittleness
• Embedded Bias
• Catastrophic Forgetting
• Explainability
• Quantifying Uncertainty
• Common Sense
• Math
Source: https://spectrum.ieee.org/ai-failures
37. Challenges
• Unavailability of Skills & Talent
• Technology is quite good, but still maturing
• Data is often siloed or not available, or poor quality, etc.
• Business case, and alignment of strategy and business model to an AI-
firm
• Societal concerns like ethics, privacy, transparency, bias, surveillance, etc.
• Governance issues such as data management, regulations, legal
frameworks, etc.
• …..and many many more…!!!
39. OK, what is AI in Marketing?
• AI is a broad term that can be used to describe any technology that can learn and make
automated decisions based on past learnings. All learning that an AI will develop comes from
the data it receives. The more data the AI gathers, the faster it can adapt to fit the needs of
your audience. Unlike human employees, AI solutions operate 24/7 and become increasingly
capable of more complex functions over time. It’s these kinds of capabilities that make
artificial intelligence so powerful. (Salesforce)
• AI marketing uses artificial intelligence technologies to make automated decisions based
on data collection, data analysis, and additional observations of audience or
economic trends that may impact marketing efforts. AI is often used in digital
marketing efforts where speed is essential. AI marketing tools use data and customer profiles
to learn how to best communicate with customers, then serve them tailored messages at the
right time without intervention from marketing team members, ensuring maximum
efficiency. For many of today’s digital marketers, AI is used to augment marketing teams or
to perform more tactical tasks that require less human nuance. (Marketing Evolution)
40. Where all can AI help me?
• Reach: attract visitors with a range
of inbound techniques
• AI-generated content
• Smart content curation
• Voice search
• Programmatic media buying
• Act: draw visitors in and make them
aware of your product
• Propensity modeling
• Predictive analytics
• Lead scoring
• Ad targeting
• Convert: nudge interested consumers
into becoming customers
• Dynamic pricing
• Web and app personalization
• Chatbots
• Re-targeting
• Engage: keep your customers
returning
• Predictive customer service
• Marketing automation
• 1:1 dynamic emails
• …?
Source: https://www.smartinsights.com/managing-digital-marketing/marketing-innovation/15-applications-artificial-intelligence-marketing/
43. Four kinds of Marketing AI
• Categorizing applications according to
their intelligence levels and structure can
help companies plan the rollout of their
marketing AI.
• Simple stand-alone apps are a good place
to begin because they’re easier to set up,
but their benefits are limited.
• Once companies acquire AI skills and
amass data, they can add apps that are
more advanced and are part of other
platforms, working their way up to
integrated machine learning, which has the
potential to create the most value.
Source: https://hbr.org/2021/07/how-to-design-an-ai-marketing-strategy
44. “Marketing
Myopia”
• Half the money I spend on advertising
is wasted; the trouble is, I don't know
which half. – John Wannamaker,
1938 - 1922
• A nearsighted focus on selling
products and services, rather than
seeing the “big picture” of what
consumers really want – Theodore
Levitt, 1962
• Marketers have lost the forest for the
trees, focusing too much on creating
products for narrow demographic
segments rather than satisfying needs.
– Clayton Christensen, 2006
45. YMMV! (“Your mileage may vary”)
“While marketing AI holds enormous promise, we urge CMOs to be realistic about
its current capabilities. Despite the hype, AI can still accomplish only narrow tasks, not
run an entire marketing function or process. Nevertheless, it’s already offering
substantial benefits to marketers—and in fact is essential in some marketing
activities—and its capabilities are rapidly growing. We believe that AI will ultimately
transform marketing, but it’s a journey that will take decades. The marketing
function and the organizations that support it, IT in particular, will need to pay long-
term attention to building AI capabilities and addressing any potential risks. We urge
marketers to start developing a strategy today to take advantage of AI’s current
functionality and its likely future.”
– Davenport, T. H., Guha, A., and Grewal, D. (2021). How to Design an AI marketing
strategy. Harvard Business Review. Jul-Aug 2021.