From Alexa and Siri to factory robots and financial chatbots, intelligent systems are reshaping industries. But the biggest changes are still to come, giving companies time to create winning AI strategies
It takes all kinds of AI and Humans to make Good Business DecisionDenis Gagné
In today’s rapidly evolving markets, the integration of human insight with advanced AI technologies is crucial for making sophisticated, timely decisions. This presentation delves into how businesses in regulated industries such as finance, healthcare, and government can leverage AI to balance mission-critical risks with profitability, ensure compliance, and maintain necessary transparency. We'll explore strategic, tactical, and operational decisions across various scenarios, demonstrating the power of AI to augment human decision-making processes, thus optimizing outcomes. Whether you are looking to enhance your existing protocols or build new frameworks, this webinar will equip you with the insights and tools to advance your decision-making capabilities.
AI in Action: Real World Use Cases by AnitarajAnitaRaj43
The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation.
The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.
Artificial Intelligence can Offer People Great Relief from Performing Mundane...JPLoft Solutions
AI refers to the recreation of human-like intelligence in machines created to function like humans and mimic their actions. Artificial Intelligence solutions can be applied to any device that exhibits traits similar to the human brain, such as the capacity to learn and analytical thinking.
Ferma report: Artificial Intelligence applied to Risk Management FERMA
FERMA brought together a group of experts from within and beyond the risk management community to develop the first thought paper about AI applied to risk management.
Their aim was to perform an initial assessment of the potential value of AI to improve enterprise risk management (ERM), and second, to understand how risk managers can be key actors in highlighting to the organisation leadership the opportunities and challenges of AI technologies.
The working group expects that corporate risk management will benefit from AI in several areas. “From its ability to process large amounts of data to the automation of certain risk management repetitive and burdensome steps, AI could allow risk managers to respond faster to new and emerging exposures. By acting in real time and with some predictive capabilities, risk management could reach a new level in supporting better decision making for senior management.”
This paper aims to guide risk managers on applying AI from a basic understanding to developing their own strategy on the implementation of AI. It includes an action guide and a template for risk managers to develop their own AI risk management roadmap.
In today's tech-driven world, the integration of artificial intelligence (AI) into applications has become increasingly prevalent. From personalized recommendations to intelligent chatbots, AI enhances user experiences and optimizes processes. However, building an AI app can seem daunting to those unfamiliar with the process. Fear not! This guide aims to demystify the journey, offering step-by-step insights into how to build an AI app from scratch.
A Case Study of Artificial Intelligence is being used to Reshape BusinessAI Publications
AI is one of the emerging technologies with such a long record which is constantly changing and growing in the corporate world. We will explain the modern AI basics and various aspects, applications of AI, and its future in business throughout this paper. Many businesses benefit from AI technology by lowering operational expenses, improving efficiency, and expanding the customer base. AI is made up of a variety of tools that allow computers to process massive amounts of data using smart technologies such as machine learning and natural language processing. Many customers now value AI-powered everyday technologies such as credit card fraud detection, e-mail spam filters, and predictive traffic alerts. The field of artificial intelligence is shifting toward developing intelligent systems that can effectively collaborate with people, including innovative ways to develop interactive and scalable ways for people to teach robots. The Vehicle Integrated Artificial Intelligence System is the focus of this paper.
The document discusses how artificial intelligence is transforming businesses and humanity. It provides an overview of how AI is being applied in various areas like marketing, supply chain management, manufacturing, and customer service to create significant economic value. Case studies are presented on how AI has added value to businesses and how every brand is becoming more conversational. The future of AI companies is discussed, noting they have different scaling and business models than traditional software companies and involve continued human support of AI systems. The document emphasizes the huge opportunities but also risks of AI for humanity.
This document discusses generative AI, including what it is, how it works, challenges, and potential business uses. Some key points:
- Generative AI can automatically generate new text, images, videos and other content based on training data, rather than just categorizing data like other machine learning.
- It uses large language models trained on vast datasets to generate human-like responses to prompts. While this allows for many potential business uses, challenges include lack of transparency, privacy/security issues, and the risk of factual inaccuracies.
- Generative AI could be used by businesses for tasks like document processing, writing code, augmenting human work, and creating marketing content. Industries like insurance, legal,
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Elevate your brand with Digitalaanmo, the top agency for the best and affordable digital marketing services. Unleash success with our expert agency solutions
20 Useful Applications of AI Machine Learning in Your Business ProcessesKashish Trivedi
A 2017 study from Pew Research found that more than 70% of the U.S. is scared that robots are going to take over our lives. And, while we can’t perfectly predict the emergence of a Skynet singularity, we can say with some certainty that technology is set to take over the repetitive, dehumanizing elements of our jobs instead of putting us out of work. Artificial intelligence (AI) is a strategic priority for 84% of businesses, and in some cases has been used to improve sales team efficiency by over 50%. Even I’ve used AI in the past to generate hundreds of relevant hashtags for social media posts at the click of a button. It was once the stuff of utopian science fiction and huge enterprises, but now practically anyone can take advantage. For this post, we will dive into 20 different applications of AI in the real world.
Steve Yates - How AI Will Improve The Service Desk Support ExperienceitSMF UK
This document discusses how artificial intelligence will impact IT service management. It begins by defining artificial intelligence and its growing role in organizations. It then outlines several ways AI can enhance IT service management, including through natural language processing, machine learning, and virtual agents. The document also examines inhibitors to AI adoption, such as rigid frameworks and shadow IT systems. It proposes enablers like agile frameworks, knowledge management systems, and REST APIs. Finally, it recommends developing an AI strategy, gaining management support, and identifying practical use cases to prepare organizations for AI's arrival in IT service management.
20 Useful Applications of AI Machine Learning in Your Business ProcessesKashish Trivedi
The fear of robots taking over our lives has been a prevalent concern, with over 70% of the U.S. population expressing apprehension, as highlighted by a 2017 Pew Research study. However, while the emergence of a Skynet-like scenario remains uncertain, it's evident that technology, particularly artificial intelligence (AI), is poised to revolutionize various aspects of our daily tasks, freeing us from repetitive and dehumanizing job elements rather than rendering us obsolete. With AI being a strategic priority for 84% of businesses, its implementation has shown remarkable efficiency enhancements, such as boosting sales team productivity by over 50%. The accessibility of AI tools has expanded significantly, enabling practically anyone to leverage its benefits. In this discourse, we'll explore 20 diverse real-world applications of AI, ranging from healthcare and finance to entertainment and government, illustrating its pervasive impact on modern society.
This document discusses trends in generative AI and data analytics for higher education institutions. It provides an overview of current and future technologies including OpenAI, cloud computing, artificial intelligence, generative AI, the Internet of Things, the metaverse, large language models, and McKinsey & Company tech trends. The event was organized by the Association of Self-Financing Arts, Science & Management Colleges of Tamilnadu and featured presentations by experts from Wise Work on these topics and their applications for education.
Artificial Intelligence in OrganizationsIRJET Journal
This document discusses opportunities for research on artificial intelligence (AI) technologies in organizations. It begins by defining AI and describing recent advances that have enabled machine learning algorithms to perform tasks like perception, language processing, and decision-making. The document then discusses four key capabilities enabled by AI: automation of structured work processes, engagement with customers and employees, insight and decision-making through data analysis, and innovation through new outcomes. For each capability, tensions between humans and AI systems are described. The document argues these capabilities present opportunities for information systems research to explore the interactions between socio-technical entities in organizations.
The document discusses trends in applying artificial intelligence (AI) to IT service management (ITSM). It defines AI and discusses how AI can interact with and improve the IT service desk through chatbots, recommendations, and prioritizing knowledge bases. The document outlines use cases for AI in ITSM like improving self-service, decision making, and services. It also covers benefits like better user experience and time to insight but challenges like resistance to change and lack of trust. Industry experts provide opinions on using AI to augment rather than replace humans. In conclusion, AI is poised to be a boon for ITSM by complementing human agents.
Similar to An overview of Artifical Intelligence for Creators... (20)
Virtual production is a filmmaking workflow that combines physical and digital elements in real-time. It uses techniques like virtual sets, LED walls, motion capture, and game engines to interactively compose shots. There are three main virtual production workflows: fully CG production using only a game engine; on-set virtual production that shoots live-action with virtual elements; and in-camera visual effects that shoot live-action and composite virtual elements in-camera. Virtual production is growing but should be used strategically for specific shots, not assumed for all content, in order to add value without unnecessary costs or complexity.
Web 3.0 is a new phase of the internet that is decentralized, trustless, and powered by blockchain technology. It aims to have many creators and users without centralized control. Key aspects of Web 3.0 include decentralization, distributed autonomous organizations, ubiquitous connectivity, cryptocurrencies, and the semantic web. The document traces the evolution of the web from Web 1.0 to 2.0 to the current developments and hype cycle around emerging technologies like blockchain that will enable Web 3.0. It provides an example of how intelligent agents and payment solutions could simplify vacation planning in a Web 3.0 world.
Cinematic VR, VR Concerts, Sports in VR, Metaverse, Virtual Production, Photogrammetry, Volumetric Capture... These are all terms that we hear of and are spoken about a lot nowadays. They are looked upon as disparate separate from each other. That is however not the case. In reality, they are all a part of the Immersive industry - the 4th content industry after Cinema, TV & Digital/OTT.
In this presentation, we talk about a comprehensive approach to the Immersive industry.
An overview including trends & analysis thereof, of the Indian Media & Entertainment industry in 2022, and its key segments, namely Film, TV, OTT/Digital, Gaming, Animation, VFX, Sports, Events, Music, Radio, etc.
What’s up with the Metaverse!? A film school’s approach to immersive engageme...Chaitanya Chinchlikar
The metaverse may seem like something that has appeared all of a sudden but it's actually not. Over the past 50 years almost all the technological advances in content consumption & creation have lead us to this point. Over the past decades our goal has been to draw the viewer closer & closer to the content and make the content experience more & more immersive. And the metaverse is the current answer to the question “What Next?”
An overview of the Indian Media & Entertainment industry and its key segments of TV, OTT/Digital, Film, Gaming, Animation, VFX, Radio, Music, Events and other aspects...
Overview, Trends & Analysis of the Indian Media & Entertainment industry as of Jan 2020.
P.S. The impact of the lockdown has not been built into the 2020 & beyond numbers...
Fiction / Narrative Storytelling in 360 VR.
The approach, methodology and process undertaken by the Whistling Woods Jio VR Lab, of creating india's first generation of Cinematic VR filmmakers in India...
Whistling Woods International - Institutional presentation 2019Chaitanya Chinchlikar
Whistling Woods International is Asia's premier film, communication and creative arts institute located in Mumbai, India. It was founded by renowned Indian filmmaker Subhash Ghai and offers 1-4 year courses in acting, animation, cinematography, directing, editing, game design, music production and many other fields related to media and entertainment. The institute aims to set new standards for world-class education in these areas and has partnerships with technology companies to provide cutting-edge facilities and training to its students.
Trends & Analysis of the Past, Present & Future of the Indian Media & Entertainment industry as of 2019, covering areas of Film, TV, OTT, Animation, VFX, Music, Radio, Gaming, Sports & E-Sports...
A detailed presentation on Cinematic VR (Fiction/Narrative Storytelling in 360VR) and what India's only lab is doing to ensure that we train & educate both students and the industry in Cinematic VR!
Trends & Analysis of the Past, Present & Future of the Indian Media & Entertainment industry as of 2019, covering areas of Film, TV, OTT, Animation, VFX, Music, Radio, Gaming, Sports & E-Sports...
Trends & Analysis of the Past, Present & Future of the Indian Media & Entertainment industry as of 2019, covering areas of Film, TV, OTT, Animation, VFX, Music, Radio, Gaming & Sports...
India under Narendra Modi - 2014-2018 - 48 months of Development!!!Chaitanya Chinchlikar
A compilation of the excellent work undertaken by the Narendra Modi Government in the past 4 years from 2014-2018!!!
In 2019, let's all gear up for a second term to the indefatigable NaMo!!!
Trends & Analysis of the Past, Present & Future of the Indian Film, TV, Digital, Animation, Music, Radio, Media & Entertainment Industry as of July 2018.
The document discusses virtual reality (VR) technology and content creation. It outlines the current state of VR, including hardware, platforms, business models, and content formats. It then introduces the Whistling Woods JIO Virtual Reality Lab, which aims to educate and train students and industry professionals to create narrative fiction content for VR. The lab will work with an advisory board and partners to develop best practices through iterative content creation and distribute knowledge through workshops. The goal is to establish VR as a mainstream platform and make India a leader in VR content.
Trends & Analysis of the Past, Present & Future of the Indian Film, TV, Digital, Animation, Music, Radio, Media & Entertainment Industry as of June 2018.
Keynote : AI & Future Of Offensive SecurityPriyanka Aash
In the presentation, the focus is on the transformative impact of artificial intelligence (AI) in cybersecurity, particularly in the context of malware generation and adversarial attacks. AI promises to revolutionize the field by enabling scalable solutions to historically challenging problems such as continuous threat simulation, autonomous attack path generation, and the creation of sophisticated attack payloads. The discussions underscore how AI-powered tools like AI-based penetration testing can outpace traditional methods, enhancing security posture by efficiently identifying and mitigating vulnerabilities across complex attack surfaces. The use of AI in red teaming further amplifies these capabilities, allowing organizations to validate security controls effectively against diverse adversarial scenarios. These advancements not only streamline testing processes but also bolster defense strategies, ensuring readiness against evolving cyber threats.
Improving Learning Content Efficiency with Reusable Learning ContentEnterprise Knowledge
Enterprise Knowledge’s Emily Crockett, Content Engineering Consultant, presented “Improve Learning Content Efficiency with Reusable Learning Content” at the Learning Ideas conference on June 13th, 2024.
This presentation explored the basics of reusable learning content, including the types of reuse and the key benefits of reuse such as improved content maintenance efficiency, reduced organizational risk, and scalable differentiated instruction & personalization. After this primer on reuse, Crockett laid out the basic steps to start building reusable learning content alongside a real-life example and the technology stack needed to support dynamic content. Key objectives included:
- Be able to explain the difference between reusable learning content and duplicate content
- Explore how a well-designed learning content model can reduce duplicate content and improve your team’s efficiency
- Identify key tasks and steps in creating a learning content model
Latest Tech Trends Series 2024 By EY IndiaEYIndia1
Stay ahead of the curve with our comprehensive Tech Trends Series! Explore the latest technology trends shaping the world today, from the 2024 Tech Trends report and top emerging technologies to their impact on business technology trends. This series delves into the most significant technological advancements, giving you insights into both established and emerging tech trends that will revolutionize various industries.
Develop Secure Enterprise Solutions with iOS Mobile App Development ServicesDamco Solutions
The security of enterprise apps should not be overlooked by organizations. Since these apps handle confidential finance/user data and business operations, ensuring greater security is crucial. That’s why, businesses should hire dedicated iOS mobile application development services providers for creating super-secured enterprise apps. By incorporating sophisticated security mechanisms, these developers make enterprise apps resistant to a range of cyber threats.
Content source - https://www.bizbangboom.com/articles/enterprise-mobile-app-development-with-ios-augmenting-business-security
Read more - https://www.damcogroup.com/ios-application-development-services
Connector Corner: Leveraging Snowflake Integration for Smarter Decision MakingDianaGray10
The power of Snowflake analytics enables CRM systems to improve operational efficiency, while gaining deeper insights into closed/won opportunities.
In this webinar, learn how infusing Snowflake into your CRM can quickly provide analysis for sales wins by region, product, customer segmentation, customer lifecycle—and more!
Using prebuilt connectors, we’ll show how workflows using Snowflake, Salesforce, and Zendesk tickets can significantly impact future sales.
Mastering OnlyFans Clone App Development: Key Strategies for SuccessDavid Wilson
Dive into the critical elements of OnlyFans clone app development, from understanding user needs and designing engaging platforms to implementing robust monetization strategies and ensuring scalability. Discover how RichestSoft can guide you through the development process, offering expert insights and proven strategies to help you succeed in the competitive market of content monetization.
Welcome to Cyberbiosecurity. Because regular cybersecurity wasn't complicated...Snarky Security
How wonderful it is that in our modern age, every bit of our biological data can be digitized, stored, and potentially pilfered by cyber thieves! Isn't it just splendid to think that while scientists are busy pushing the boundaries of biotechnology, hackers could be plotting the next big bio-data heist? This delightful scenario is brought to you by the ever-expanding digital landscape of biology and biotechnology, where the integration of computer science, engineering, and data science transforms our understanding and manipulation of biological systems.
While the fusion of technology and biology offers immense benefits, it also necessitates a careful consideration of the ethical, security, and associated social implications. But let's be honest, in the grand scheme of things, what's a little risk compared to potential scientific achievements? After all, progress in biotechnology waits for no one, and we're just along for the ride in this thrilling, slightly terrifying, adventure.
So, as we continue to navigate this complex landscape, let's not forget the importance of robust data protection measures and collaborative international efforts to safeguard sensitive biological information. After all, what could possibly go wrong?
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This document provides a comprehensive analysis of the security implications biological data use. The analysis explores various aspects of biological data security, including the vulnerabilities associated with data access, the potential for misuse by state and non-state actors, and the implications for national and transnational security. Key aspects considered include the impact of technological advancements on data security, the role of international policies in data governance, and the strategies for mitigating risks associated with unauthorized data access.
This view offers valuable insights for security professionals, policymakers, and industry leaders across various sectors, highlighting the importance of robust data protection measures and collaborative international efforts to safeguard sensitive biological information. The analysis serves as a crucial resource for understanding the complex dynamics at the intersection of biotechnology and security, providing actionable recommendations to enhance biosecurity in an digital and interconnected world.
The evolving landscape of biology and biotechnology, significantly influenced by advancements in computer science, engineering, and data science, is reshaping our understanding and manipulation of biological systems. The integration of these disciplines has led to the development of fields such as computational biology and synthetic biology, which utilize computational power and engineering principles to solve complex biological problems and innovate new biotechnological applications. This interdisciplinary approach has not only accelerated research and development but also introduced new capabilities such as gene editing and biomanufact
DefCamp_2016_Chemerkin_Yury-publish.pdf - Presentation by Yury Chemerkin at DefCamp 2016 discussing mobile app vulnerabilities, data protection issues, and analysis of security levels across different types of mobile applications.
Discovery Series - Zero to Hero - Task Mining Session 1DianaGray10
This session is focused on providing you with an introduction to task mining. We will go over different types of task mining and provide you with a real-world demo on each type of task mining in detail.
How UiPath Discovery Suite supports identification of Agentic Process Automat...DianaGray10
📚 Understand the basics of the newly persona-based LLM-powered Agentic Process Automation and discover how existing UiPath Discovery Suite products like Communication Mining, Process Mining, and Task Mining can be leveraged to identify APA candidates.
Topics Covered:
💡 Idea Behind APA: Explore the innovative concept of Agentic Process Automation and its significance in modern workflows.
🔄 How APA is Different from RPA: Learn the key differences between Agentic Process Automation and Robotic Process Automation.
🚀 Discover the Advantages of APA: Uncover the unique benefits of implementing APA in your organization.
🔍 Identifying APA Candidates with UiPath Discovery Products: See how UiPath's Communication Mining, Process Mining, and Task Mining tools can help pinpoint potential APA candidates.
🔮 Discussion on Expected Future Impacts: Engage in a discussion on the potential future impacts of APA on various industries and business processes.
Enhance your knowledge on the forefront of automation technology and stay ahead with Agentic Process Automation. 🧠💼✨
Speakers:
Arun Kumar Asokan, Delivery Director (US) @ qBotica and UiPath MVP
Naveen Chatlapalli, Solution Architect @ Ashling Partners and UiPath MVP
Redefining Cybersecurity with AI CapabilitiesPriyanka Aash
In this comprehensive overview of Cisco's latest innovations in cybersecurity, the focus is squarely on resilience and adaptation in the face of evolving threats. The discussion covers the imperative of tackling Mal information, the increasing sophistication of insider attacks, and the expanding attack surfaces in a hybrid work environment. Emphasizing a shift towards integrated platforms over fragmented tools, Cisco introduces its Security Cloud, designed to provide end-to-end visibility and robust protection across user interactions, cloud environments, and breaches. AI emerges as a pivotal tool, from enhancing user experiences to predicting and defending against cyber threats. The blog underscores Cisco's commitment to simplifying security stacks while ensuring efficacy and economic feasibility, making a compelling case for their platform approach in safeguarding digital landscapes.
"Hands-on development experience using wasm Blazor", Furdak Vladyslav.pptxFwdays
I will share my personal experience of full-time development on wasm Blazor
What difficulties our team faced: life hacks with Blazor app routing, whether it is necessary to write JavaScript, which technology stack and architectural patterns we chose
What conclusions we made and what mistakes we committed
"Building Future-Ready Apps with .NET 8 and Azure Serverless Ecosystem", Stan...Fwdays
.NET 8 brought a lot of improvements for developers and maturity to the Azure serverless container ecosystem. So, this talk will cover these changes and explain how you can apply them to your projects. Another reason for this talk is the re-invention of Serverless from a DevOps perspective as a Platform Engineering trend with Backstage and the recent Radius project from Microsoft. So now is the perfect time to look at developer productivity tooling and serverless apps from Microsoft's perspective.
Intel Unveils Core Ultra 200V Lunar chip .pdfTech Guru
Intel has made a significant breakthrough in the world of processors with the introduction of its Core Ultra 200V mobile processor series, codenamed Lunar Lake. This innovative processor marks a fundamental shift in the way Intel creates processors, with a high degree of aggregation, including memory-on-package (MoP). The Core Ultra 300 MX series is designed to power thin-and-light devices that are capable of handling the latest AI applications, including Microsoft's Copilot+ experiences.
Demystifying Neural Networks And Building Cybersecurity ApplicationsPriyanka Aash
In today's rapidly evolving technological landscape, Artificial Neural Networks (ANNs) have emerged as a cornerstone of artificial intelligence, revolutionizing various fields including cybersecurity. Inspired by the intricacies of the human brain, ANNs have a rich history and a complex structure that enables them to learn and make decisions. This blog aims to unravel the mysteries of neural networks, explore their mathematical foundations, and demonstrate their practical applications, particularly in building robust malware detection systems using Convolutional Neural Networks (CNNs).
13. Two Ways of looking at AI
• Innovations that will be fueled by Generative AI – How will it help us?
• Innovations that will fuel generative AI advancement – How do we help AI?
14. Innovations that will be fueled by Generative AI
• Artificial general intelligence (AGI) is the (currently hypothetical) intelligence of a machine that can
accomplish any intellectual task that a human can perform. Think Skynet / the Matrix / Ultron, etc… 🤯🤯🤯
• AI engineering is foundational for enterprise delivery of AI solutions at scale. The discipline creates coherent
enterprise development, delivery, and operational AI-based systems.
• Autonomic systems are self-managing physical or software systems performing domain-bounded tasks that
exhibit three fundamental characteristics: autonomy, learning and agency.
• Prompt engineering is the discipline of providing inputs, in the form of text or images, to generative AI models to
specify and confine the set of responses the model can produce.
• AI services provide AI model building tools, APIs for prebuilt services and associated middleware that enable the
building/training, deployment and consumption of machine learning (ML) models.
15. Innovations that will be fueled by Generative AI
• Smart robots are AI-powered mobile machines designed to autonomously execute one or more physical tasks.
• Computer vision is a set of technologies that involves capturing, processing and analyzing real-world images
and videos to extract meaningful, contextual information from the physical world.
• Data-centric AI is an approach that focuses on enhancing and enriching training data to drive better AI
outcomes. Data-centric AI also addresses data quality, privacy and scalability.
• Edge AI refers to the use of AI techniques embedded in non-IT products, IoT endpoints, gateways and edge
servers. It spans use cases for consumer, commercial and industrial applications, such as autonomous vehicles,
enhanced capabilities of medical diagnostics and streaming video analytics.
16. Innovations that will fuel generative AI advancement
• AI simulation is the combined application of AI and simulation technologies to jointly develop AI agents and
the simulated environments in which they can be trained, tested and sometimes deployed.
• AI trust, risk and security management (AI TRiSM) ensures AI model governance, trustworthiness, fairness,
reliability, robustness, efficacy and data protection.
• Causal AI identifies and utilizes cause-and-effect relationships to go beyond correlation-based predictive
models and toward AI systems that can prescribe actions more effectively and act more autonomously.
• Data labeling and annotation (DL&A) is a process where data assets are further classified, segmented,
annotated and augmented to enrich data for better analytics and AI projects.
17. Innovations that will fuel generative AI advancement
• First-principles AI (FPAI) (aka physics-informed AI) incorporates physical and analog principles, governing
laws into AI models. FPAI extends AI engineering to complex system engineering and model-based systems
• Responsible AI is an umbrella term for aspects of making appropriate business and ethical choices when
adopting AI. It encompasses organizational responsibilities and practices that ensure positive, accountable, and
ethical AI development and operation.
• Knowledge graphs are machine-readable representations of the physical and digital worlds. They include
entities (people, companies, digital assets) and their relationships, which adhere to a graph data model.
• Interoperability of Multiagent systems (MAS) is a type of AI system composed of multiple, independent (but
interactive) agents, each capable of perceiving their environment and taking actions. Agents can be AI models,
software programs, robots and other computational entities.