Ektron London Conference: Myth Busting the Dark Art of SEO

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Rob Stoves, Solutions Consultant, Ektron, shines some light on the dark corners of search engine optimization.

Technologie Design

Rob Stoves
Solutions Consultant, Ektron
rob.stoves@Ektron.co.uk
Myth Busting the
Dark Art of SEO

Copyright © 2013 Ektron, Inc.
Myth Busting the Dark Art of SEO
• Introduction to how search engines
work
• Some common SEO techniques used
over the last 10 years
• Black hat and white hat SEO
• Tips to improve rankings

Copyright © 2013 Ektron, Inc.
What SEO isn’t
• SEO shouldn’t be about getting to the top of
Google for particular phrases
• We shouldn’t be optimizing for search
engines
• We should be optimizing for people
• Although short term benefits can be gained
it will not last without continual investment

Copyright © 2013 Ektron, Inc.
How search engines work

Copyright © 2013 Ektron, Inc.
On page SEO
Search Engine
Submission

Copyright © 2013 Ektron, Inc.
On page SEO
Page rankSearch Engine
Submission
Anchor text

Copyright © 2013 Ektron, Inc.

Copyright © 2013 Ektron, Inc.
On page SEO
Search Engine
Submission
Domain authority
Page rank
Anchor text

Copyright © 2013 Ektron, Inc.
On page SEO Page rank
Search Engine
Submission
Anchor text
Domain authority
Link context
User
signals

Copyright © 2013 Ektron, Inc.

Copyright © 2013 Ektron, Inc.
Negative SEO

Copyright © 2013 Ektron, Inc.

Copyright © 2013 Ektron, Inc.
TIPS
• Latent Semantic Indexing
• Know your competition
• Your website is never finished
• Don’t risk search engine penalties
• Avoid keyword stuffing
• Interact with bloggers in your industry
• Get people to link to you

Copyright © 2013 Ektron, Inc.
GOOGLE WEBMASTER GUIDELINES

Rob Stoves
Solutions Consultant, Ektron
rob.stoves@Ektron.co.uk
Questions
#ektronlondon
Win a Kindle Paperwhite
for best tweet

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

Scaling API-first – The story of a global engineering organization

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

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CNv6 Instructor Chapter 6 Quality of Service

CNv6 Instructor Chapter 6 Quality of Service

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

Enterprise Knowledge

Handwritten Text Recognition for manuscripts and early printed texts

Handwritten Text Recognition for manuscripts and early printed texts

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1. Rob Stoves Solutions Consultant, Ektron rob.stoves@Ektron.co.uk Myth Busting the Dark Art of SEO

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4. Copyright © 2013 Ektron, Inc. How search engines work

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7. Copyright © 2013 Ektron, Inc.

8. Copyright © 2013 Ektron, Inc. On page SEO Search Engine Submission Domain authority Page rank Anchor text

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11. Copyright © 2013 Ektron, Inc. Negative SEO

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15. Rob Stoves Solutions Consultant, Ektron rob.stoves@Ektron.co.uk Questions #ektronlondon Win a Kindle Paperwhite for best tweet