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
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Gartner provides webinars on various topics related to technology. This webinar discusses generative AI, which refers to AI techniques that can generate new unique artifacts like text, images, code, and more based on training data. The webinar covers several topics related to generative AI, including its use in novel molecule discovery, AI avatars, and automated content generation. It provides examples of how generative AI can benefit various industries and recommendations for organizations looking to utilize this emerging technology.
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
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.
This document discusses generative AI and its potential transformations and use cases. It outlines how generative AI could enable more low-cost experimentation, blur division boundaries, and allow "talking to data" for innovation and operational excellence. The document also references responsible AI frameworks and a pattern catalogue for developing foundation model-based systems. Potential use cases discussed include automated reporting, digital twins, data integration, operation planning, communication, and innovation applications like surrogate models and cross-discipline synthesis.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
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.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
Gartner provides webinars on various topics related to technology. This webinar discusses generative AI, which refers to AI techniques that can generate new unique artifacts like text, images, code, and more based on training data. The webinar covers several topics related to generative AI, including its use in novel molecule discovery, AI avatars, and automated content generation. It provides examples of how generative AI can benefit various industries and recommendations for organizations looking to utilize this emerging technology.
The Future of AI is Generative not Discriminative 5/26/2021Steve Omohundro
The deep learning AI revolution has been sweeping the world for a decade now. Deep neural nets are routinely used for tasks like translation, fraud detection, and image classification. PwC estimates that they will create $15.7 trillion/year of value by 2030. But most current networks are "discriminative" in that they directly map inputs to predictions. This type of model requires lots of training examples, doesn't generalize well outside of its training set, creates inscrutable representations, is subject to adversarial examples, and makes knowledge transfer difficult. People, in contrast, can learn from just a few examples, generalize far beyond their experience, and can easily transfer and reuse knowledge. In recent years, new kinds of "generative" AI models have begun to exhibit these desirable human characteristics. They represent the causal generative processes by which the data is created and can be compositional, compact, and directly interpretable. Generative AI systems that assist people can model their needs and desires and interact with empathy. Their adaptability to changing circumstances will likely be required by rapidly changing AI-driven business and social systems. Generative AI will be the engine of future AI innovation.
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.
This document discusses generative AI and its potential transformations and use cases. It outlines how generative AI could enable more low-cost experimentation, blur division boundaries, and allow "talking to data" for innovation and operational excellence. The document also references responsible AI frameworks and a pattern catalogue for developing foundation model-based systems. Potential use cases discussed include automated reporting, digital twins, data integration, operation planning, communication, and innovation applications like surrogate models and cross-discipline synthesis.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
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.
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
Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.
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
An Introduction to Generative AI - May 18, 2023CoriFaklaris1
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
The State of Global AI Adoption in 2023InData Labs
In our inaugural report, 2023 State of AI, we examine trends in AI adoption across industries, the current state of the market, and technologies that shape the field.
The goal of this report is to help company leaders and executives get a better handle on the AI landscape and the opportunities it brings for the business.
2023 State of AI report will help you to answer questions such as:
-How are organizations applying artificial intelligence in the real world in 2023?
-What industries are leading in terms of AI maturity?
-How has generative AI impacted businesses?
-How can organizations prepare for AI transformation?
Download your free copy now and adopt the key technologies to improve your business.
In the US, people are already implementing the use of converstaionl AI, ChatGPT in everydy mundane tasks. Implementation is not only limited to that. Various industries are also using this revolutionary technology for maintaining a superior customer experience. People are also criticizing ChatGPT for creating employment threats and also being unethical in it's answers. The technology is being widely applauded but everything has certain pain points associated with it.
The field of Artificial Intelligence (AI) has progressed rapidly in the past few years. AI systems are having a growing impact on society and concerns have been raised whether AI system can be trusted. A way to address these concerns is to employ ethically aligned design principles to the development of AI software. Yet these principles are still far away from practical application. This talk provides state-of-the-art empirical insight into what should researchers and professionals do today when the client wants ethics to be added to their system.
How Does Generative AI Actually Work? (a quick semi-technical introduction to...ssuser4edc93
This document provides a technical introduction to large language models (LLMs). It explains that LLMs are based on simple probabilities derived from their massive training corpora, containing trillions of examples. The document then discusses several key aspects of how LLMs work, including that they function as a form of "lossy text compression" by encoding patterns and relationships in their training data. It also outlines some of the key elements in the architecture and training of the most advanced LLMs, such as GPT-4, focusing on their huge scale, transformer architecture, and use of reinforcement learning from human feedback.
The 7 Biggest Artificial Intelligence (AI) Trends In 2022Bernard Marr
The document discusses 8 major artificial intelligence trends for 2022:
1. The augmented workforce, where AI tools will help boost workers' abilities and make jobs more efficient.
2. Bigger and better language models that can generate more human-like text.
3. Increased use of AI in cybersecurity to detect network threats.
4. Role of AI in developing virtual worlds known as the "metaverse."
5. Growth of low-code and no-code tools that make AI development simpler.
6. Advancements in autonomous vehicles like cars and ships.
7. AI that can generate more complex creative works like art and music.
8. Continued pushing of boundaries in what AI systems
Conversational AI and Chatbot IntegrationsCristina Vidu
Conversational AI and Chatbots (or rather - and more extensively - Virtual Agents) offer great benefits, especially in combination with technologies like RPA or IDP. Corneliu Niculite (Presales Director - EMEA @DRUID AI) and Roman Tobler (CEO @Routinuum & UiPath MVP) are discussing Conversational AI and why Virtual Agents play a significant role in modern ways of working. Moreover, Corneliu will be displaying how to build a Workflow and showcase an Accounts Payable Use Case, integrating DRUID and UiPath Robots.
📙 Agenda:
The focus of our meetup is around the following areas - with a lot of room to discuss and share experiences:
- What is "Conversational AI" and why do we need Chatbots (Virtual Agents);
- Deep-Dive to a DRUID-UiPath Integration via an Accounts Payable Use Case;
- Discussion, Q&A
Speakers:
👨🏻💻 Corneliu Niculite, Presales Director - EMEA DRUID AI
👨🏼💻 Roman Tobler, UiPath MVP, Co-Founder & CEO Routinuum GmbH
This session streamed live on March 8, 2023, 16:00 PM CET.
Check out our upcoming events at: community.uipath.com
Contact us at: community@uipath.com
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI offers both opportunities and risks for enterprises. While it could drive significant ROI through personalized experiences, thought leadership, and faster processes, there are also concerns about job losses, overreliance on automation without oversight, and inaccurate information. Effective adoption of generative AI requires experience management strategies like understanding emotional and logical customer triggers, aligning products and services to experience channels, and building a business model around a compelling brand story. A people-first approach is important to maximize benefits and mitigate risks.
[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.
The document discusses how generative AI can be used to scale content operations by reducing the time it takes to generate content. It explains that generative AI learns from natural language models and can generate new text or ideas based on prompts provided by users. While generative AI has benefits like speeding up content creation and ideation, it also has limitations such as not being able to conduct original research or ensure quality. The document provides examples of how generative AI can be used for tasks like generating ideas, simplifying complex text, creating visuals, and more. It also discusses challenges like bias in AI models and the low risk of plagiarism.
Seminar on ChatGPT Large Language Model by Abhilash Majumder(Intel)
This presentation is solely for reading purposes and contains technical details about ChatGPT fundamentals
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Practical session reviewing the next evolution of robotic process automation (RPA) and the expanded value it can deliver supported by artificial intelligence (AI)
Review business interest in advancing RPA with AI
Explore the complementary strengths and weaknesses of RPA & AI
Present the future of RPA in the form of Intelligent Automation powered by AI
Discuss how your business can implement such capabilities
Part 5 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
The biggest innovations in insurance over the next three years will not be in the technology tools themselves, but in how we design them with customers, agents, employees and other human partners in mind.
The digital revolution today is an age of human empowerment: Rapid advances have created a people-centric technology environment, where the power lies with people to shape technology as they see fit.
Accenture's Technology Vision for Insurance 2017 takes an annual look across the insurance landscape to identify emerging technology trends that hold the greatest potential to disrupt businesses, industries and people.
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
Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.
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
An Introduction to Generative AI - May 18, 2023CoriFaklaris1
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
The State of Global AI Adoption in 2023InData Labs
In our inaugural report, 2023 State of AI, we examine trends in AI adoption across industries, the current state of the market, and technologies that shape the field.
The goal of this report is to help company leaders and executives get a better handle on the AI landscape and the opportunities it brings for the business.
2023 State of AI report will help you to answer questions such as:
-How are organizations applying artificial intelligence in the real world in 2023?
-What industries are leading in terms of AI maturity?
-How has generative AI impacted businesses?
-How can organizations prepare for AI transformation?
Download your free copy now and adopt the key technologies to improve your business.
In the US, people are already implementing the use of converstaionl AI, ChatGPT in everydy mundane tasks. Implementation is not only limited to that. Various industries are also using this revolutionary technology for maintaining a superior customer experience. People are also criticizing ChatGPT for creating employment threats and also being unethical in it's answers. The technology is being widely applauded but everything has certain pain points associated with it.
The field of Artificial Intelligence (AI) has progressed rapidly in the past few years. AI systems are having a growing impact on society and concerns have been raised whether AI system can be trusted. A way to address these concerns is to employ ethically aligned design principles to the development of AI software. Yet these principles are still far away from practical application. This talk provides state-of-the-art empirical insight into what should researchers and professionals do today when the client wants ethics to be added to their system.
How Does Generative AI Actually Work? (a quick semi-technical introduction to...ssuser4edc93
This document provides a technical introduction to large language models (LLMs). It explains that LLMs are based on simple probabilities derived from their massive training corpora, containing trillions of examples. The document then discusses several key aspects of how LLMs work, including that they function as a form of "lossy text compression" by encoding patterns and relationships in their training data. It also outlines some of the key elements in the architecture and training of the most advanced LLMs, such as GPT-4, focusing on their huge scale, transformer architecture, and use of reinforcement learning from human feedback.
The 7 Biggest Artificial Intelligence (AI) Trends In 2022Bernard Marr
The document discusses 8 major artificial intelligence trends for 2022:
1. The augmented workforce, where AI tools will help boost workers' abilities and make jobs more efficient.
2. Bigger and better language models that can generate more human-like text.
3. Increased use of AI in cybersecurity to detect network threats.
4. Role of AI in developing virtual worlds known as the "metaverse."
5. Growth of low-code and no-code tools that make AI development simpler.
6. Advancements in autonomous vehicles like cars and ships.
7. AI that can generate more complex creative works like art and music.
8. Continued pushing of boundaries in what AI systems
Conversational AI and Chatbot IntegrationsCristina Vidu
Conversational AI and Chatbots (or rather - and more extensively - Virtual Agents) offer great benefits, especially in combination with technologies like RPA or IDP. Corneliu Niculite (Presales Director - EMEA @DRUID AI) and Roman Tobler (CEO @Routinuum & UiPath MVP) are discussing Conversational AI and why Virtual Agents play a significant role in modern ways of working. Moreover, Corneliu will be displaying how to build a Workflow and showcase an Accounts Payable Use Case, integrating DRUID and UiPath Robots.
📙 Agenda:
The focus of our meetup is around the following areas - with a lot of room to discuss and share experiences:
- What is "Conversational AI" and why do we need Chatbots (Virtual Agents);
- Deep-Dive to a DRUID-UiPath Integration via an Accounts Payable Use Case;
- Discussion, Q&A
Speakers:
👨🏻💻 Corneliu Niculite, Presales Director - EMEA DRUID AI
👨🏼💻 Roman Tobler, UiPath MVP, Co-Founder & CEO Routinuum GmbH
This session streamed live on March 8, 2023, 16:00 PM CET.
Check out our upcoming events at: community.uipath.com
Contact us at: community@uipath.com
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI offers both opportunities and risks for enterprises. While it could drive significant ROI through personalized experiences, thought leadership, and faster processes, there are also concerns about job losses, overreliance on automation without oversight, and inaccurate information. Effective adoption of generative AI requires experience management strategies like understanding emotional and logical customer triggers, aligning products and services to experience channels, and building a business model around a compelling brand story. A people-first approach is important to maximize benefits and mitigate risks.
[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.
The document discusses how generative AI can be used to scale content operations by reducing the time it takes to generate content. It explains that generative AI learns from natural language models and can generate new text or ideas based on prompts provided by users. While generative AI has benefits like speeding up content creation and ideation, it also has limitations such as not being able to conduct original research or ensure quality. The document provides examples of how generative AI can be used for tasks like generating ideas, simplifying complex text, creating visuals, and more. It also discusses challenges like bias in AI models and the low risk of plagiarism.
Seminar on ChatGPT Large Language Model by Abhilash Majumder(Intel)
This presentation is solely for reading purposes and contains technical details about ChatGPT fundamentals
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Practical session reviewing the next evolution of robotic process automation (RPA) and the expanded value it can deliver supported by artificial intelligence (AI)
Review business interest in advancing RPA with AI
Explore the complementary strengths and weaknesses of RPA & AI
Present the future of RPA in the form of Intelligent Automation powered by AI
Discuss how your business can implement such capabilities
Part 5 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
The biggest innovations in insurance over the next three years will not be in the technology tools themselves, but in how we design them with customers, agents, employees and other human partners in mind.
The digital revolution today is an age of human empowerment: Rapid advances have created a people-centric technology environment, where the power lies with people to shape technology as they see fit.
Accenture's Technology Vision for Insurance 2017 takes an annual look across the insurance landscape to identify emerging technology trends that hold the greatest potential to disrupt businesses, industries and people.
Mini Project AI in automotive industry ppt.pptxPragatiKumari66
This document discusses the use of artificial intelligence (AI) in the automotive industry. It provides an introduction to the automotive industry and AI, outlines advantages and disadvantages of AI, and challenges of applying AI to automotive such as complexity, localization, and security. To overcome AI challenges, the document recommends addressing them with a skilled vendor, testing solutions, training employees, and ensuring continuous algorithm improvement with subject matter experts. Overcoming challenges could lead to a revolutionary transformation of the automotive industry through AI.
The 21st Century Enterprise - The Future of Enterprise ITJosh Zarkin
The document discusses the characteristics of a 21st century enterprise (21CE). A 21CE is focused on customer experience, leverages ecosystems, and uses technology like IoT, automation, and orchestration platforms to deliver unified experiences. It highlights how top startups exemplify 21CE attributes like experience focus, ecosystem extension, and the need for experience-driven orchestration. Transitioning to a 21CE requires moving from siloed technology to a cloud-native, service-oriented approach focused on outcomes over costs. HCL discusses its approach and themes to enable clients' transformation to a 21CE through offerings like BEYONDigital, next-gen IT, and ecosystem orchestration platforms.
This document discusses using artificial intelligence and machine learning to transform digital experiences. It begins by defining AI as computer systems that can sense, think, and act to achieve goals. It then outlines the foundation layers of AI including knowledge representation, reasoning, machine learning techniques like deep learning, and capabilities like natural language processing. The document then discusses opportunities for AI in consumer digital experiences through ubiquitous, conversational, and automated/assisted/augmented/autonomous interfaces. It also outlines examples of AI being used in enterprises for automation, assisted intelligence, augmented intelligence, and autonomous intelligence. Finally, it discusses opportunities and risks for enterprises in adopting AI, including challenges around data, talent, building trustworthy systems, and potential disruption.
The Power of Artificial Intelligence Technology in Modern BusinessPriyadarshiniPD3
Artificial Intelligence revolutionizes modern business by enhancing efficiency, automating tasks, providing data-driven insights, and personalizing customer experiences, leading to significant competitive advantages.
Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017StampedeCon
This talk will walk through the important building blocks of Automated AI. Rajiv will highlight the current gaps in the analytics organizations, how to close those gaps using automated AI. Some of the issues discussed around automated AI are the accuracy of models, tradeoffs around control when using automation, interpretability of models, and integration with other tools. These issues will be highlighted with examples of automated analytics in different industries. The talk will end with some examples of how automated AI in the hands of data scientists and business analysts is transforming analytic teams and organizations.
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.
The 10 Most Advanced Home Automation CompaniesMerry D'souza
“The 10 Most Advanced Home Automation Companies”, issue highlights the paramount home automation service providers that are trailblazing the industry with their groundbreaking services.
An excellent report on AI technology, specifically generative AI, the next step after ChatGPT from Epam.
Impact Assessments, Road Charts with fully updated Results and new charts.
Let’s face it, your customer service reps are handling too many repetitive, linear interactions that could be easily automated, but the limitations of your touchtone IVR means you are unable to expand self-service capabilities to automate more. Hear how IVA (intelligent virtual assistants) powered by advanced speech recognition and natural language processing are replacing the traditional IVR with “How can I help you today,” instead of “Press 1” and helping customers self-serve common requests.
ITExpertUS is a global consulting firm headquartered in Chicago that implements bespoke technology solutions using artificial intelligence, machine learning, and other emerging technologies. It has over 7 locations worldwide and helps startups, SMBs, Fortune 500 companies, and governments transform digitally. ITExpertUS' multidisciplinary teams develop customized solutions to drive business growth and create competitive advantages for clients in industries globally. Some of its service areas include machine learning, natural language processing, computer vision, augmented and virtual reality, blockchain, and more.
The document summarizes an upcoming PLM Summit event on April 10th focusing on digital transformation of the automotive supply chain. It provides details on the event including the speaker, Andre Rangel from Tech Mahindra who is VP of Sales for South America. It also provides an overview of Tech Mahindra's automotive practice, experience with major automotive companies, and service offerings across the automotive value chain including engineering, manufacturing, sales and marketing, and after sales.
The article discusses how modernizing aging process automation systems can help manufacturers overcome challenges and position themselves for future success. Sticking with outdated equipment can lead to issues like inability to adapt to changing production needs, unplanned downtime, scarcity of skilled resources, cybersecurity vulnerabilities, and difficulty complying with regulations. While digital transformation projects seem appealing, they are large undertakings. The article proposes that taking a phased approach to modernization through strategic technology insertions can help manufacturers start reaping benefits more quickly. This approach leverages a plant's existing infrastructure and spreads costs over multiple, smaller projects.
The 10 most innovative artificial intelligence companiesMerry D'souza
In the issue of The 10 Most Innovative Artificial Intelligence Companies, we have presented the bigger AI solutions provider, who have accomplished trademark by providing best-in-class AI solutions and are well equipped for continuing the Tech sectors’ future.
In the year 2014, while e-commerce was majorly a business-to-consumer (B2C) game a platform best constructed for consumer brands and retail transactions, business-to-business (B2B) was barely on the limelight. B2B ordering solutions were very few, pricey, and complex in nature. Because of this, it was difficult for small wholesale distributors and retailers to implement B2B ordering solutions in their businesses.
How to Successfully Apply Data & AI in the Marketing Value Chain. In this session Artefact will be starting with the role of data in the current world and what it has lead to currently: Where are we with Data & Artificial Intelligence? the future is definitely here. We will make it concrete and explore where to apply Data & AI in digital marketing? What can AI do and what can't it do (yet)?Possible areas are automation, optimization and more. Artefact will make it practical to conclude and explain what using Data & AI means practically for Digital Marketing? What are the actionable next steps in Planning, setup/workflow, getting control and creative.
Why AI and Machine Learning Will Be Essential for Your Business SurvivalMaxime Sterling
With the rise of digital transformation, advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) have become increasingly essential for businesses to succeed and remain competitive. In this article, we will explore how AI and ML can help your business survive in today's ever-evolving marketplace.
In today's tech-centric world, choosing the right AI development partner is crucial. Companies like DataRoot Labs, AssemblyAI, and Element AI highlight the enduring importance of AI-industry collaboration, driving innovation in sectors from healthcare to environmental sustainability. AI is no longer optional; it's essential for forward-thinking organizations. In 2023, these companies and trends provide a roadmap for those aiming to lead in the AI frontier.
AI in Insurance: How to Automate Insurance Claim Processing with Machine Lear...Skyl.ai
About the webinar
Insurance companies are looking at technology to solve complexity created by presence of cumbersome processes and presence of multiple entities like actuaries, support team and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
What you'll learn
- How Insurance companies are using ML to drive more efficiency and business gain
- Best practices to automate machine learning models
- Demo: A deeper understanding of the end-to-end machine learning workflow for car damage recognition using Skyl.ai
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Adani Group's Active Interest In Increasing Its Presence in the Cement Manufa...Adani case
Time and again, the business group has taken up new business ventures, each of which has allowed it to expand its horizons further and reach new heights. Even amidst the Adani CBI Investigation, the firm has always focused on improving its cement business.
NIMA2024 | De toegevoegde waarde van DEI en ESG in campagnes | Nathalie Lam |...BBPMedia1
Nathalie zal delen hoe DEI en ESG een fundamentele rol kunnen spelen in je merkstrategie en je de juiste aansluiting kan creëren met je doelgroep. Door middel van voorbeelden en simpele handvatten toont ze hoe dit in jouw organisatie toegepast kan worden.
Presentation by Herman Kienhuis (Curiosity VC) on Investing in AI for ABS Alu...Herman Kienhuis
Presentation by Herman Kienhuis (Curiosity VC) on developments in AI, the venture capital investment landscape and Curiosity VC's approach to investing, at the alumni event of Amsterdam Business School (University of Amsterdam) on June 13, 2024 in Amsterdam.
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Cover Story - China's Investment Leader - Dr. Alyce SUmsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
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Efficient PHP Development Solutions for Dynamic Web ApplicationsHarwinder Singh
Unlock the full potential of your web projects with our expert PHP development solutions. From robust backend systems to dynamic front-end interfaces, we deliver scalable, secure, and high-performance applications tailored to your needs. Trust our skilled team to transform your ideas into reality with custom PHP programming, ensuring seamless functionality and a superior user experience.
Enhancing Adoption of AI in Agri-food: IntroductionCor Verdouw
Introduction to the Panel on: Pathways and Challenges: AI-Driven Technology in Agri-Food, AI4Food, University of Guelph
“Enhancing Adoption of AI in Agri-food: a Path Forward”, 18 June 2024
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3. www.andremuscat.com
What matters in AI Series
For executives & business leaders needing to understand the macro and strategic trends in artificial intelligence, its
opportunities and impact from a non-technical perspective.
WHAT MATTERS IN AI SERIES
AI For
Business
Leaders
1
Utility of AI.
Unleashing new
value across
industries
2
Meet
Generative AI
3
Intelligent
Automation
(IA)
5
Monetisation
of AI
6
Essentials to build
solutions with AI
Capabilities
7
Stakeholder
Engagement in
AI Work
8
Risk
Management in
AI Work
9
The Future
of
Productivity
4
4. www.andremuscat.com
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
TODAY’S AGENDA
AI FOR BUSINESS LEADERS
An introduction to the world of artificial intelligence. Explore at a high-level ongoing business
experiments in creating new value.
5. www.andremuscat.com
ARTIFICIAL INTELLIGENCE
It loves to
make you look
good
It’s software
trying to act
smart
It’s easier to
use than you
think
It’s changing
everything
It’s infiltrating
our lives faster
than you think
It’s here to
stay
6. www.andremuscat.com
44 31 81 27 50 62 57 54
31 37 17 43 30 46 35 35
7 21 20 15 14 10 16 15
24 11 5 15 7 14 18 12
27 12 4 19 14 1 12 11
8 8 4 9 2 12 12 8
17 10 2 8 11 11 5 8
2 7 5 9 12 1 5 5
7 4 6 10 2 6 4 5
TOP POSITION AS REQUIRED TECHNOLOGY TO DELIVER THE VALUE
PROPOSITION OF NEW BUSINESS IN THE NEXT 5 YEARS
Augmented reality /
Virtual reality
Physical robotics
Metaverse
3-D Printing
Quantum Computing
Other
Artificial Intelligence /
Machine Learning
Internet of Things
Blockchain
Advanced
Industries
Consumer Goods
and Retail
Financial Services
Energy and
Materials
Healthcare, Pharma
and medical
products
Travel, Logistics
and Infrastructure
All
Technology, Media
and Telecom
Source: McKinsey, “New-business building in 2022”
Legend
(Share of respondents)
• 0 – 9
• 10 – 19
• 20 – 29
• 30 – 49
• 50 – 90
NOTES:
• Respondents could
select only two replies
• Respondents
composed of 995 C-
Suite executives, senior
managers, business
unit leaders and
division heads
12. www.andremuscat.com
EMULATING, REPLICATING AND ENHANCING HUMAN FUNCTIONS
ARTIFICIAL INTELLIGENCE IS ALL ABOUT….
Digital capability to imitate or reproduce
human tasks such as perceiving,
learning, reasoning and solving
problems.
Use technology and automation to deal
with complex data which is near to
impossible to handle by a human being.
Critical for delivering user-centric
experiences that delight and improve
customer satisfaction
Automates redundant jobs, allowing
your work force to focus on what
matters and has impact such as the
high level, strategic, value-adding tasks.
Connect disparate data to get a more
unified picture of situations and context
Maximise the use of your data, assets
and resources to drive better
operational workflows, processes and
financial operations
When implemented at scale, it leads to
cost reduction and revenue increase.
Enables
Technology
Drives economies-of-
scale
Automates
Inspiration: Bernardmarr.com
13. www.andremuscat.com
IMPACTING ALL FACETS OF OUR LIFE…
Data Pattern
Matching
Intelligent
Contact Centre
Factories &
Production
Security
Language &
Translations
Self-Driving
Cars
Automatic
generation of
video Subtitles
Smart
Assistance
Speech
Audio Effects
Video Effects
Micro-Surgery
Personalise
Customer
Experiences
Intelligent
Document
Processing
Increase
Productivity
Intelligent
Search and
Reply
Fraud
Detection
Scale Up
Innovation
Speed up
Production
Optimise
Business
Processes
Smart Sensors
& IoT
“Who liked this
also bought
this…”
Social Media
Engagement
Faster, Better,
Business
Intelligence
Analysis &
Insights
14. www.andremuscat.com
BECOMING A SUPPORT NETWORK FOR PEOPLE
Improves
Connectivity
Completing Critical Activities
Enhancing Well-being &
Health-oriented strategies
Replacing clunky surveys
and boardroom
conversations
Quicker to achieve data
heavy tasks
Provides Managers with
personalised feedback
Helps Track organisational
performance in real-time
Promotes Productivity &
Automation Mindset
Enable Personalised and
simpler Customer
Experiences
Provides better
Recommendations
Optimises
Pricing Analysis
Maximises Lead
Generation
15. www.andremuscat.com
WHEN USED…APLIED TO…..
11%
11%
16%
18%
18%
20%
20%
23%
24%
25%
25%
30%
33%
33%
34%
39%
Tansformers
Generative adversarial networks (GAN)
Transfer learning
Natural-language generation
Facial Recognition
Reinforcement learning
Physical robots
Natural-language speech understanding
Digital twins
Recommender systems
Knowledge graphs
Deep learning
Virtual agents or conversational interfaces
Natural-language text understanding
Computer vision
Robotic process automation (RPA)
% responses indicating AI embedded into at least 1 product/business function
Source: McKinsey & Company (respondents who said their organisation have adapted AI in at least 1 function)
16. www.andremuscat.com
TOP-10 REVENUE GENERATING USE CASES
8.98
7.64
7.26
6.39
6.00
5.71
5.38
5.37
5.30
5.11
Machine/vehicular object detection/identification/avoidance
Static image recognition, classification, and tagging
Patient data processing
Algorithmic trading strategy performance improvement
Localization and mapping (Geophysical feature detection)
Predictive maintenance
Prevention against cybersecurity threats
Converting paperwork into digital data (e.g. Contract analysis)
Intelligent recruitment and HR systems
Medical image analysis and scalable processing of patient data
CUMULATIVE REVENUE IN BILLIONS (USD)
Source: Statista, Artificial Intelligence, Market Forecasts
17. www.andremuscat.com
0
100
200
300
400
500
600
700
20% 30% 40% 50% 60%
AI
Impact
in
$
Billion
Share of AI impact in total impact derived from analytics, %
POTENTIAL TO CREATE VALUE ACROSS SECTORS
Transport and
logistics
Travel
Retail
Healthcare
systems and
services
Consumer and
packaged goods
Public and social
sectors
Advanced electronics
/ semiconductors
Automotive and
assembly
Insurance
Banking
Basic Materials
High Tech / Big Tech
Pharmaceuticals and
medical products
Telecommunications
Media and entertainment
Agriculture
Chemicals
Aerospace and Defense
Oil and Gas
Source: McKinsey
18. www.andremuscat.com
100+ AI USE CASES
Click here to see more examples
Source: AI Multiple
Operations
Sales
HR
Data
Customer
Service
Marketing
Analytics
Tech
Health
Tech
Autonomous
Things
100+ AI Use
Cases &
Applications
19. www.andremuscat.com
WHERE AI PROJECTS ARE BEING USED WITHIN COMPANIES
Human resources Manufacturing Marketing & sales
Product / service
development
Risk
Service
operations
Strategy &
corporate finance
Supply chain
management
All industries 9% 12% 20% 23% 13% 25% 9% 13%
Automotive & Assembly 11% 26% 20% 15% 4% 18% 6% 17%
Business, legal, and
professional services
14% 8% 28% 15% 13% 26% 8% 13%
Consumer goods/retail 2% 18% 22% 17% 1% 15% 4% 18%
Financial services 10% 4% 24% 20% 32% 40% 13% 8%
Healthcare/pharma 9% 11% 14% 29% 13% 17% 12% 9%
High tech/telecom 12% 11% 28% 45% 16% 34% 10% 16%
Source: McKinsey, Artificial Index Report
20. www.andremuscat.com
Boosted by need to have meaningful information visual content analysis
EXPONENTIALLY GROWING MARKET Source: Statista
281
328
554
10 15 23 35 51
71
94
126
40
62
734
87
120
165
227
314
434
599
296.7
341.8
432.8
500
0
200
400
600
800
2018 2019 2020 2021 2022 2023 2024 2025 2026 2027
AI WORLDWIDE IN BILLION USD
IDC (February 2021) Tractica (March 2020) Grand View Research (June 2020) Globe newswire (June 2022) L. Vailshery (March 2022)
21. www.andremuscat.com
AI CAPABILITY / MATURITY AREAS
• Predictable output based on input
it is built to receive
• Always respond to identical
situations in the exact same way,
every time
• Not able to learn new actions from
past activity
• Learns from the past
• Uses historical, observational data
to make predictions and
classifications
• Resulting models and actions not
saved on-device
• Holding meaningful conversations
with an emotionally intelligent robot
• Decision-making that is
comparable to humans
• Understand and remember context
and emotions
• Aware of internal emotions and
mental states
• Able to express and respond within
the context of entities engaged,
topic, environment and internal
emotional state
Planning
Problem Solving Manipulation
Learning
• Deep Blue (Playing Chess)
• Spam and malware filters
• Netflix recommendations
• Alexa/Siri responses
• Self-driving cars “reading the road”
(using own data and that of other
cars e.g.. temperature, speed,
surrounding objects, direction) to
adjust approach
• Kismet robot and Humanoid
Sophia (Recognise faces and
emotions Respond with on own
facial expressions)
• Chat GPT
• Technology not available yet
• Make inferences “I am feeling
angry because someone cut me off
in traffic”
22. www.andremuscat.com
TRUST IN AI TO AUTOMATE INSIGHTS/GENERATE CONTENT
47%
42%
39%
37%
33%
32%
30%
22%
21%
Target Ads
Personalise content and offers in real time
Optimise email send time
Calculate conversion probability
Optimise email subject line
Conduct a live chat session
Score leads
Write subject lines
Write copy
Source: Marketing trends 2022
23. www.andremuscat.com
HOLDING STRONG CONSUMER TRUST
28% 36% 32%
Less Trust in products/services relying on AI Similar trust in products/services relying on AI
More trust in products/services relying on AI
Source: McKinsey, “Global Survey on Digital Trust, 3073 consumers, May 2022”
68%
Consumers that trust
products and services that
rely on AI as much as, or
more than those relying
mostly on people
24. www.andremuscat.com
Reviewed AI as a priority for value generation
Explored ongoing experimentation
Touched on how businesses are monetising AI
Understood the intent of adoption by industries
Discussed the state of customer trust in AI
WHAT WE TALKED ABOUT
AI FOR BUSINESS LEADERS
An introduction to the world of artificial intelligence. Explored at a high-level ongoing business
experiments in creating new value.
25. www.andremuscat.com
What matters in AI Series
For executives needing to understand the macro and strategic trends in artificial intelligence, its opportunities and
impact from a non-technical perspective.
THANK YOU! WHAT WE EXPLORE NEXT…
AI For
Business
Leaders
1
Utility of AI.
Unleashing new
value across
industries
2
Meet
Generative AI
3
Intelligent
Automation
(IA)
5
Monetisation
of AI
6
Essentials to build
solutions with AI
Capabilities
7
Stakeholder
Engagement in
AI Work
8
Risk
Management in
AI Work
9
The Future
of
Productivity
4