The World AI Cannes Festival: Innovation, Strategic Partnerships and the Future of Humanity in the Age of AI
The World AI Cannes Festival (WAICF) stands as a premier event in Europe, attracting decision-makers, companies, and innovators at the forefront of developing groundbreaking AI strategies and applications. With an impressive attendance of 16,000 individuals, featuring 300 international speakers and 230 exhibitors, the festival transforms Cannes intothe European hub of cutting-edge technologies, momentarily shifting focus from its renowned status as a global cinema stage.
This year marked WordLift’s inaugural participation in the festival, where we capitalised on the diverse opportunities the event offered. We were exposed to a myriad of disruptive applications such as the palm-based identity solution showcased by Amazon to streamlining payment and buying experience for consumers. Furthermore, we observed the emergence of strategic partnerships among key market players, exemplified by the collaboration between AMD and Hugging Face. As Julian Simon, Chief Evangelist of Hugging Face, aptly stated, “There is a de facto monopoly on computers today, and the market is hungry for supply.”
Engaging in thought-provoking discussions surrounding the future intersections of humanity and AI was a highlight of the event. One of the most captivating keynotes was delivered by Yann LeCun, the chief AI scientist of Meta and a pioneer in Deep Learning. LeCun discussed the limitations of Large Language Models (LLMs), emphasising that their training is predominantly based on language, which constitutes only a fraction of human knowledge derived mostly from experience. One of his slides provocatively titled “Auto-regressive LLMs suck” underscored his message that while machines will eventually surpass human intelligence, current models are far from achieving this feat. LeCun also shared insights into his latest work aimed at bridging this gap.
Navigating the Global Wave of AI Regulation
Allowing the more technically equipped participants to delve into discussions about the technical advancements showcased in Cannes, I will instead focus on a topic that, while less glamorous, holds great relevance: the anticipated impact of forthcoming AI regulation on innovation and players in the digital markets. This theme was prominent during the festival, with several talks dedicated to it, and many discussions touching upon related aspects of this trend.
Although in Europe the conversation predominantly revolves around the finalisation of the AI Act (with its final text expected in April 2024, following the EU Parliament’s vote), it’s essential to recognize that this is now a global trend. Pam Dixon, executive director of the World Privacy Forum, presented compelling data illustrating the exponential rise in governmental activities concerning AI regulation, highlighting the considerable variations in responses across jurisdictions. While some initially speculated that AI regulation might follow a path similar to GDPR, establishing a quasi-global standard in data protection to which most entities would adapt, it’s becoming evident that this won’t be the case. The OECD AI Observatory, for instance, is compiling a database of national AI policy strategies and initiatives, currently documenting over 1,000 policy initiatives from 70 countries worldwide.
One audience question particularly resonated with me: ‘If you are a small company operating in this evolving ecosystem, facing the challenges of this emerging regulatory landscape, where should you begin?’ To be honest, there’s no definitive answer to this question at the moment. Although the AI Act has yet to become EU law, and its effective enforcement timelines are relatively lengthy, WordLift, like many others in this industry, is already fielding numerous requests from customers seeking reassurance on our compliance strategies. Luckly, WordLift has been committed to fostering a responsible approach to innovation since its establishment.
Ethical AI and Compliance: WordLift’s Proactive Approach
For those working at the intersection of AI and search engine optimization (SEO), ethical AI practices are paramount concerns. WordLift has conscientiously crafted an approach to AI aimed at empowering content creators and marketers while upholding fundamental human values and rights. Previous contributions on this blog have covered various aspects of ethical AI, including legal considerations, content creation, and the use of AI in SEO for enterprise settings, explaining in details how WordLift translates the concept of trustworthy AI into company practices, ensuring that its AI-powered tools and services are ethical, fair, and aligned with the best interests of users and society at large.
While the AI Act mandates that only high-risk AI system providers undertake an impact assessment to identify the risks associated with their initiatives and apply suitable risk management strategies, at WordLift we have proactively seized this opportunity to enhance communication with stakeholders, developing a framework articulating our company’s principles across four main pillars:
Embracing a ‘Human-in-the-loop’ approach to combine AI-based automation with human oversight, in order to guarantee content excellence.
Ensuring Data Protection & IP through robust processes safeguarding client data, maintaining confidentiality, and upholding intellectual property rights.
Prioritising Security with a focus on safeguarding against potential vulnerabilities in our generative AI services architecture.
Promoting Economic and Environmental Sustainability by committing to open-source technologies and employing small-scale AI models to minimise our environmental footprint.
We are currently in the process of documenting each pillar in terms of the specific choices and workflows adopted.
Contextualising Corporate Strategies: Navigating Open Issues in AI Regulation within the Larger Landscape
However, it’s essential to contextualise SMEs and startups compliance policies in the bigger picture, where mergers and partnerships between major players providing critical upstream inputs (such as cloud infrastructure and foundation models) and leading AI startups have become a trend.
This trend is exemplified by the recent investigation launched by the US Federal Trade Commission on generative AI partnership, and it usually suggests that the market for Foundation Models (FM) may be moving towards a certain degree of consolidation. This potential consolidation in the upstream markets could have negative implications for downstream markets where SMEs and startups operate. These downstream markets are mostly those in the red rectangle in the picture below, extracted from the UK CMA review of AI FM. Less competition in the upstream markets may lead to a decrease in the diversity of business models, and reduce both the degree of flexibility in using multiple FM and the accountability of FM providers for the outputs produced.
An overview of foundation model development, training and deployment
As highlighted by LeCun in his keynote, we need diverse AI systems for the same reason we need diverse press, and for this the role of Open Source is critical.
In this respect, EU policymakers have landed, after heated debates, on a two tiers approach to regulation of FM. The first tier entails a set of transparency obligations and a demonstration of compliance with copyright laws for all FM providers, with the exception of those used only in research or published under an open-source licence.
The exception does not apply for the second tier, which covers instead models classified as having high impact (or carrying systemic risks, art 52a), a classification presumed on the amount of compute used for its training (expressed in floating-point operations, or FLOPs). According to the current text, today only models such as GPT-4 and Meta LLama-2 would find themselves falling into the second tier. While the tiering rationale has been criticised by part of the scientific community, the EU legislators seem to have accepted the proportional approach (distinctly treating different uses and development modalities) advocated by OS ecosystems and the compromise reached is viewed as promising by the OS community.
The broad exemption of free and open-source AI models from the Act, along with the adoption of the proportionality principle for SMEs (art 60), appears to be a reasonable compromise at this stage. The latter principle stipulates that in cases involving modification or fine-tuning of a model, providers’ obligations should be limited to those specific changes. For instance, this could involve updating existing technical documentation to include information on modifications, including new training data sources. This approach could be successful in regulating potential risks associated with AI technology without stifling innovation.
However, as the saying goes, the devil is in the details. The practical implications for the entire AI ecosystem will only become apparent in the coming months or years, especially when the newly established AI Office, tasked with implementing many provisions of the AI Act, begins its work. Among its many responsibilities, the AI Office will also oversee the adjustment of the FLOPs threshold over time to reflect technological and industrial changes.
In the best case scenario, legislative clarity will be achieved in the next months through a flooding of recommendations, guidelines, implementing and delegated acts, codes of conduct (such as the voluntary codes of conduct introduced by art 69 for the application of specific requirements). However, there is concern about the burden this may place on SMEs and startups active in the lower portion of the CMA chart, inundated with paperwork and facing relatively high compliance costs to navigate the new landscape.
The resources that companies like ours will need to allocate to stay abreast of enforcement may detract from other potential contributions to the framework governing AI technology development in the years ahead, such as participation in the standardisation development process. Lastly, a note on a broader yet relatively underdeveloped issue in the legislation: who within the supply chain will be held accountable for damages caused by high-risk AI products or systems? Legal clarity regarding liability is crucial for fostering productive conversations among stakeholders in the AI value chain, particularly between developers and deployers.
Let’s hope that future iterations of the AI regulatory framework will effectively distribute responsibilities among them, ultimately leading to a fair allocation.
Questions to Guide the Reader
What is the significance of the World AI Cannes Festival (WAICF) for AI innovators and decision-makers?
The festival stands as a premier platform for the exhibition and discourse of AI advancements and strategies. Attending this event offers a unique opportunity to delve into cutting-edge applications, connect with key players across the AI value-chain, gain insights into their business strategies, and participate in high-level discussions exploring the evolving intersections of humanity and AI
How does the anticipated AI regulation in Europe impact innovation and the digital market landscape?
The latest version of the AI Act reflects over two years of negotiations involving political and business stakeholders in the field. The inclusion of broad exemptions for free and open-source AI models, coupled with the adoption of the proportionality principle for SMEs, presents a potential avenue for regulating AI technology’s risks without impeding innovation. However, the true impact will only become evident during implementation. Concerns arise regarding compliance costs, particularly for smaller entities, and the lack of legal clarity surrounding liability, which is vital for facilitating constructive dialogues among stakeholders in the AI value chain, particularly between developers and deployers.
What are WordLift’s strategies for aligning with ethical AI practices and upcoming regulations?
Since its inception, WordLift has adopted a proactive approach characterised by a commitment to ethical AI. Building upon this foundation, the company is now actively preparing for regulatory compliance by articulating a comprehensive framework based on four pillars.
How might the consolidation of the market for Foundation Models (FM) affect SMEs and startups in the AI sector?
As larger companies acquire dominance in the market for FMs, SMEs and startups may face greater hurdles in accessing these foundational technologies, potentially leading to increased dependency on them. This could pose a risk of stifling innovation over time. Regulators must closely monitor upstream markets to prevent a reduction in the diversity of business models, ensuring that smaller players retain flexibility in utilising multiple FMs and holding FM providers accountable for the outputs they generate.
The Knowledge Graph Conference is an international conference that focuses on the importance of knowledge graphs and is attended by speakers from around the world each year. The conference is held both in person and online.
It was founded with the goal of bridging the gap between industry and academia on the importance and application of semantic technology and knowledge graphs.
In 2024, it will reach its 6th edition with 80+ Presentations, 20+ Workshops & Masterclasses, and 100+ Speakers worldwide, ready to define the future of semantic technologies and AI.
The Knowledge Graph Conference 2024
We are excited to share that we have joined the Knowledge Graph Conference 2024, an esteemed gathering that unites leading experts and innovators in data science, artificial intelligence, and knowledge graph technology. This partnership allows us to provide our community with a unique chance to explore the most recent advancements, studies, and practical uses of knowledge graphs in depth.
In this edition of the event, we will participate both with a speech given by Beatrice Gamba, Head of Innovation Hub at WordLift, and with a special panel session, where we will discuss SEO and knowledge graphs with four prominent guests in the field, such as Lily Ray, Mike King, John Shehata, and Andrea Volpini.
See the details of these two appointments below.
This panel explores the pivotal role of Knowledge Graphs (KGs) and structured data in enhancing search engine experiences. It focuses on how these technologies are revolutionizing the SEO landscape and improving how users interact with search engines through generative search capabilities. Aimed at professionals in knowledge graph and ontology, the discussion will offer practical insights from real-world applications. Attendees will better understand how to leverage these advanced technologies for SEO success, moving towards a future with smarter, more intuitive, and user-focused search engines.
Semantic SEO and Knowledge Graphs are significantly changing the landscape of online content promotion. This introduction sets the stage for an in-depth exploration of how these technologies are revolutionizing the way we approach event marketing—a domain that has presented challenges for many. At the heart of this transformation is the development of a Knowledge Graph for a leading financial publisher, a project that has pushed digital marketing to unprecedented levels.
By structuring information within a Knowledge Graph, the publisher has achieved remarkable success in event marketing, resulting in increased traffic, enhanced visibility on search engines, and higher revenues. Over the course of a year, this approach was applied to more than 10 events across various locations, yielding insights that are not only valuable to the Knowledge Graph Community (KGC) but also demonstrate the pivotal role of Knowledge Graphs in elevating online content promotion strategies.
This presentation aims to share these insights, challenging traditional marketing notions and highlighting the transformative potential of Knowledge Graph technology in SEO strategies.
Exclusive Discount for Our Community
Don’t miss out on this unique opportunity to be part of the Knowledge Graph Conference 2024. We’re providing an exclusive discount on tickets for our community. Use the code [KGC24-FRIENDSOFWORDLIFT] for 20% off in-person passes or [KGC-VIRTUAL40] for 40% off virtual passes.
Why Attend?
The Knowledge Graph Conference 2024 is set to be an unforgettable experience, featuring:
Insightful keynotes and presentations from industry leaders and academic pioneers.
Hands-on workshops and tutorials to enhance your skills and knowledge.
Networking opportunities with professionals and enthusiasts from diverse sectors.
A showcase of cutting-edge technologies and solutions in the knowledge graph space.
Register Now and Save
Ready to explore the future of knowledge graphs and how they’re transforming industries? Join us at the Knowledge Graph Conference 2024. Make sure to register soon to take advantage of our exclusive discount. Visit the website to secure your ticket and be part of an event that’s shaping the future of technology and data.
Last Edition (2023)
Enhancing LLM Generative Capabilities through Knowledge Graph Integration
Andrea Volpini, CEO and co-founder at WordLift, will focus on the use of large language models (LLMs) for generative AI, and how incorporating symbolic knowledge (attributes from a knowledge graph of an eCommerce website) can improve the accuracy and usefulness of generated content.
SessionTopics:
Generative ai
Content Production using KGs
Andrea Volpini – Enhancing LLM Generative Capabilities through Knowledge Graph Integration[Presentation]
The Power of Knowledge Graphs in Modern SEO
Beatrice Gamba, Head of Agency at WordLift, will talk about the creation of a Knowledge Graph for an online leading news publisher in Germany.
We used the technology behind Knowledge Graphs to semantically link tags and entities to articles, injecting content all over the website with context-rich information that could talk to search engines and appeal to users. In our analysis we will present results from Organic Search and showcase the validation process we used to ensure the correctness of the information provided at all stages to constantly improve the knowledge base. The aim of this presentation is to showcase the power of Knowledge Graphs in the field of modern SEO.
Beatrice Gamba – The Power of Knowledge Graphs in Modern SEO[Presentation]
In October, Phil Archer emailed me about the opportunity to speak at GS1‘s big annual get-together in Brussels in February. I’ve known and followed Phil’s work since the early days of my involvement with Linked Data—a very long time ago. Phil has been directly coordinating W3C‘s efforts in the Semantic Web and related technologies and has been at the forefront of many standards shaping today’s Open Web before joining GS1 in 2017.
Given my previous relationship with him, I was introduced to some of the standardization work GS1 does in favor of sharing product data across multiple value chains using the semantic web stack.GS1 Standards are used for identifying, capturing, and sharing information—about products, business locations, and more. Think of every physical product you own. Behind the scenes, a crucial language allows all involved parties – manufacturers, retailers, and even search engines – to understand each other seamlessly. This language? It’s powered by GS1 and used by over 2 million companies worldwide. While SEO experts might recognize GS1 from GTIN codes in structured data and Google Merchant Center, it’s much more than product identifiers. Imagine 5 billion barcode scans daily – the global impact of GS1 in action!
This year, at the GS1 Global Forum in Brussels (albeit remotely due to a bad flu I caught at home), I had the honor of attending and contributing as a speaker.
This blog post aims to shed light on some of these topics, highlighting the importance of GS1 standards in the evolving landscape of e-commerce and digital marketing and sharing what I learned from Google and other GS1 key players attending the forum this year.
GS1 Global Forum: A Convergence of Industry Leaders
The forum serves as a global annual event promoting GS1 standards, offering a unique occasion to interact with industry leaders in the international trading community on GS1 standards and technologies meant to facilitate the distribution and traceability of products.
In my presentation, available on our academy platform, I discuss our approach to data integration. I walk through how we merged GS1 Digital Link with our Product Knowledge Graph, revealing deeper insights into products.
Additionally, I explore how we utilize GS1 Web Vocabulary to build tailor-made ontologies, exemplified by the Eyewear Ontology for EssilorLuxottica Group’s eyewear products.
Finally, I explain how we leverage the GS1 extension of Schema.org as a foundation for proposing SEOntology, a novel approach to search engine optimization.
Here is an early implementation of the GS1 Digital Link for Oakley conducted with the EssilorLuxottica SEO team 💪.
In the same vein, Dom Guinard from Digimarc and Sven Böckelmann from Benelog provided inspiring real-world examples for GS1 Digital Link and EPICIS 2.0 (the Electronic Product Code Information Services standard). Below is Puma introducing a 2D barcode with the Digital Link that enables an engaging digital experience at the point of sale.
Google’s Commitment to GS1 Digital Link: Overcoming E-commerce Complexities
During his talk, Matthias Wiseman from Google offered valuable insights into the company’s collaboration with GS1 and its commitment to standardized product data. He addressed the ongoing challenge Google faces in acquiring accurate and detailed product information directly. Wiseman emphasized the importance of GS1 Digital Link as a solution to this challenge.
A single barcode can now offer a direct link to a product’s online counterpart by acting as a gateway to a wealth of product information. This innovation aligns perfectly with Google’s mission to refine its global shopping graph, ensuring consumers discover the most relevant and detailed product information effortlessly.
Enabling online merchants to showcase inventory variations
Google’s recent introduction of structured data support for product variants also tackles some challenges, empowering merchants to showcase a wider range of options and ultimately enhance the shopping experience. This initiative reflects Google’s broader strategy of leveraging structured data to decipher the vast array of online product information.
Previously, Google only saw one “face” of a product from structured data, even if it came in numerous versions. With ProductGroup and its supporting properties, we can tell Google how products differ (size, color, etc.) and group them under a single parent (or canonical) product. This helps Google understand the product offering and display the specific options relevant to each search.
Start building your Product Knowledge Graph today and lead the way in digital commerce innovation. Click here to learn more and transform your product data into a powerful asset!
Understanding intricate certifications for products
Beyond product variants, understanding intricate details and certifications like organic or vegan status remains equally critical for Google. Matthias also presented the recent introduction of the support for schema.org/Certification class, originally derived from the GS1 Web Vocabulary, that addresses this need. This markup empowers Google and other entities to grasp critical product certifications, adding another layer of detail that significantly influences consumer decisions.
Improving company data
Furthermore, Google recognizes the importance of understanding business details for a comprehensive understanding of product data. Including properties like vatID and other business details for schema.org/Organization signifies a step towards achieving this goal, enabling a clearer representation of business identities and their offerings. Doreid has recently blogged on how adding vatID has contributed to creating the Google Knowledge Graph panel for three major retail brands.
Wiseman’s presentation underscored Google’s commitment to leveraging GS1 standards and technologies to overcome the challenges of managing complex product data. As AI-assisted interactions become increasingly prevalent, the significance of accurate, detailed, and standardized product information becomes paramount. Google’s initiatives not only aim to enhance the consumer shopping experience but also empower businesses to present their products more effectively in the digital marketplace.
Digital Product Passport
One concept that also captured my attention at the GS1 Global Forum was the upcoming Digital Product Passport (DPP). While GS1 is already seasoned in product data sharing across diverse industries, introducing the DPP and its supporting legislation marks a significant shift. This new framework defines a unique, comprehensive dataset for each product, accessible electronically and with relevant information. Between 2026 and 2030, the EU’s Digital Product Passport will be implemented across different product categories to promote a product’s sustainability, recyclability, and circularity.
Once again, here I see the potential of a standard that empowers everyone in the value chain (not only the marketplaces) – consumers, businesses, and even authorities – with complete product information. Imagine improved traceability, streamlined compliance checks, and detailed records of potentially harmful substances throughout a product’s lifecycle.
The DPP has the potential to revolutionize product transparency, compliance, and sustainability across the EU market, and I’m eager to see how it unfolds and how we can sustain its growth.
Our Commitment and Collaboration with GS1
Attending the GS1 Global Forum reinforced our commitment to leading the way in product discovery, SEO, and digital marketing. This dedication extends beyond data and technology; we strongly believe in open standards. Why? Because open standards counterbalance the concentration of power in the hands of a few players, promoting transparency and fairness for consumers and citizens alike. This aligns perfectly with our values of responsible AI and SEO best practices. On that note, a huge thank you goes to Can Berk Yakar and Kim Renberg, who represented WordLift with passion and expertise at the recent GS1 Global Forum!
With the rapid rise of generative AI, the landscape for digital publishers and SEO professionals has undergone a profound transformation. Our work, goals, and objectives have evolved in response to these changes.
Search engines have become stricter in defining quality criteria as online content grows. Therefore, it is crucial for digital publishers, now more than ever, to establish authority and maintain a consistent level of quality.
The role of SEO experts has adapted to state-of-the-art technologies to help clients achieve online visibility.
Until now, my job as an SEO expert has been to enable digital businesses to achieve good visibility and build an excellent online reputation for their websites.
Research by Ahrefs on 920 mln websites states that 91% of online content has no traffic on Google. We expect this number to grow with the rise of generative AI tools, especially for low-quality content that human editors haven’t reviewed.
But what about optimization for AI…
To answer this, I asked for guidance directly from Bing Chat.
I attended SMX Munich in March, and Fabrice Canel, during his keynote, gave some advice to SEOs about optimization for the new search experience.
The essential advice was to focus on quality content and semantic markup.
I went on asking what semantic markup is:
And it was no surprise to find a mention of WordLift since we have embraced this approach since forever: delivering high-quality content enriched with semantic markup to meet user needs.
Securing the Value of Digital Content in the Era of AI
One of the critical challenges for content producers in today’s fast-paced industry is to demonstrate expertise and credibility. In this context, Knowledge graphs play a vital role in securing and validating the authenticity of online content.
With the abundance of online information, users (and search engines) have become more cautious about the credibility and accuracy of the content they consume and propose. Structured data can help build trust within the target audience by demonstrating expertise in a particular field.
While AI-generated content can be valuable and efficient, it needs the human touch and contextual understanding that come with genuine expertise. The information in a knowledge graph can help showcase experiences and in-depth knowledge that differentiate humanly-crafted content from AI-generated content.
Demonstrating expertise and credibility is crucial for building trust, standing out, establishing authority, engaging an audience, and improving visibility. By addressing the authenticity of content with structured data, it’s possible to provide un-replicable value while strengthening your online presence.
The role of WordLift in this picture is to leverage knowledge graphs to generate and validate content at scale; in this way, we have helped clients like Ippen Digital, one of Germany’s largest online publishers, to enhance their content with 9,000 enriched tags and 29,000 semantic connections (triples) published to the web.
With this process, millions of articles have been marked up and connected to the knowledge graph, generating linked mini-graphs with intelligent features.
The test has worked exceptionally well because it provided context to what previously hadn’t. And we did so by providing additional information to each piece of content, delivering users a more meaningful and engaging experience.
Providing More Information With Structured Data
Let’s dive into the main Schema.org properties and markups that can help assess authority and build trust online for digital publishers.
Targeting Local Queries with Structured Data
Structured data plays a crucial role in targeting local queries and meeting the informational needs of specific regions. For example, adding Place markup to news articles about a particular location ensures comprehensive coverage and relevancy for local searches.
Citing beloved SEO expert Bill Slawski:
“If you use structured data, you’re presenting more precise information to search engines, using data in formats that they expect people to use the search for.”
The Era of Person Schema and Demonstrating Expertise
The emergence of the Person Schema Type aligns with Google’s framework for assessing the quality of content on websites, known as E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness).
To prove E-E-A-T, we can rely on Schema markup for authors, incorporating properties such as sameAs, citations, awards, and credentials.
Embedding all the information about our experience in a specific field will help search engines, and AI ecosystems recognize and credit our hands-on expertise in the industry.
An example of the markup of my Author page.
The more Google recognizes the Author name as an Expert on the topic, the better the authority of their content online.
Other Schema.org properties that nurture the E-E-A-T context are:
The NewsMediaOrganizationmarkup is an industry-specific type that provides supplementary background information about a news publisher; in this case, the most important properties to compile thoroughly are the founder and address.
The founder proves that there is a physical person behind the business. At the same time, the address demonstrates that the organization exists physically, adding up to its authority.
Is this work of data sourcing for Google only?
The answer is NO.
It’s for everyone. It’s for us as a digital community of publishers and users, and it aims at:
A better and safer AI to which everyone can contribute
Spreading good information and avoiding fake news
Providing more value to editorial teams
Structuring Hands-On Experience Semantically
Incorporating structured data in the form of metadata has several benefits in terms of SEO for news publishers:
Traffic boost
Comprehensive coverage of topics
Content recognizable as a reliable source for AI ecosystems.
At WordLift, our strategy includes search demand analysis, planning, validation, and publishing content enriched with structured data. By monitoring the performance, we continuously optimize and improve the content, proving to our customers that a published knowledge graph drives the ROI of their digital marketing campaigns.
When updating existing articles to assess E-E-A-T, we focus mainly on the following schema Properties within the Article markup:
Author – with information about the person who wrote the article; this is a Person type markup
datePublished – Article property, to assess when the article was published and how old it is
dateModified – Article property that proves content is fresh and updated periodically
inLanguage – Article property that gives information about the language of the content
Publisher – Organization markup leads to the information about the business that is making available the content online
About & mentions – Article properties that provide contextual information about the topics touched inside the article
In the rapidly evolving digital landscape, optimizing content for AI and differentiating it from AI-generated content is vital to improve SEO for news publishers.
Knowledge Graphs are beneficial because they can communicate to search engines and AI ecosystems in the same language: every piece of information in the form of metadata that we include in our content demonstrates expertise, helps in achieving better rankings, improves ROI, and establishes digital publishers as reliable sources of information.
Structuring data benefits organizations and contributes to a better and safer AI ecosystem where good information is valued and utilized effectively.
It is Europe’s largest conference for search marketing.
SMX Munich is the only conference series dedicated to search marketing and how search fits into the marketing mix.
Attending SMX Munich means you’ll be immersed in SEO and SEM tactics that address search marketing challenges and inspire new ideas. This is especially important in times of crisis and challenges like we are experiencing right now. That’s why this year’s focus is on giving attendees the tactics, strategies and tools they need to succeed in such a time.
Search Marketing in Challenging Times
Date:
March 15-16, 2023
Agenda:
6 parallel tracks on SEO, PPC, Content, Analytics & Data, UX and many more
Each session delivers hands-on content and will inspire you with new ideas
Interact with speakers, sponsors and other attendees
Discover all the scheduled speeches and speakers. See the program.
Location:
ICM – Internationales Congress Center München Am Messesee 81829 Munich Germany
You can buy your ticket with a special discount here.
WordLift is the official sponsor of SMX Munich 2023
Connected Data London has changed its name and has become Connected Data World. It is an international event dedicated to Knowledge Graphs, Graph Data Science and AI, Graph Databases, and Semantic Technologies for leaders and innovators worldwide. This year it will be held from 1 to 3 December 2021 and has a complete program of workshops, masterclasses, talks, which will take place in its virtual venue, the Connected Data World Center.
The role of Google’s Knowledge Graph and Machine Learning in query less search, Google Discover, and Google Moments
What relationship is there between Google’s Knowledge Graph and Google’s push features such as Discover and Big Moments? A lot. And it is the future!
Our CEO, Andrea Volpini, with Dawn Anderson, Jason Barnard, and Cindy Krum, will discuss that in a panel on 1 December 2021, 4:15 pm CET.
You’ll understand how to make your content stand out in Google Discover, what you can do to interact with Google’s graph, and best practices for producing content that performs well on Discover. Plus, you’ll learn more about the new Google Big Moments feature.
From Knowledge Graphs to Multimodal Search for E-Commerce websites
In this collaborative and interactive masterclass, Andrea Volpini and Bo Wang, AI Engineer at Jina AI will show you how to create a new search experience on your e-commerce website.
Using a product knowledge graph, you will discover how you can build a multimodal search engine that can more naturally help users find the product they want. They will interact with your online catalog using different modalities: speech, text, and images.
You will learn how to leverage existing data to improve their content discovery and search functionality while SEO.
The masterclass will be on 2 December 2021, at 2:00 pm CET.
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