Seth Earley, CEO & Founder of Earley Information Science and Peter Crocker, CEO & Co-founder of Oxford Semantic Technologies discuss powering personalized search with knowledge graphs to transform legacy faceted search into personalized product discovery.
In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today)
Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers.
Core Insights Include:
Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base.
Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes.
Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies.
Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively.
This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.
A knowledge graph is a type of data representation that utilizes a network of interconnected nodes to represent real-world entities and the relationships between them. This makes it an ideal tool for data discovery, compliance, and governance tasks, as it allows users to easily navigate and understand complex data sets.
In this webinar, we will demystify knowledge graphs and explore their various applications in data discovery, compliance, and governance. We will begin by discussing the basics of knowledge graphs and how they differ from other data representation methods. Next, we will delve into specific use cases for knowledge graphs in data discovery, such as for exploring and understanding large and complex datasets or for identifying hidden patterns and relationships in data.
We will also discuss how knowledge graphs can be used in compliance and governance tasks, such as for tracking changes to data over time or for auditing data to ensure compliance with regulations. Throughout the webinar, we will provide practical examples and case studies to illustrate the benefits of using knowledge graphs in these contexts.
Finally, we will cover best practices for implementing and maintaining a knowledge graph, including tips for choosing the right technology and data sources, and strategies for ensuring the accuracy and reliability of the data within the graph.
Overall, this webinar will provide an executive level overview of knowledge graphs and their applications in data discovery, compliance, and governance, and will equip attendees with the tools and knowledge they need to successfully implement and utilize knowledge graphs in their own organizations.
*Thanks to ChatGPT for help writing this abstract.
In this session we will be discussing the challenges the organization faced in content usability, traceability, and findability, hindering their internal training workflows and access to critical knowledge assets.
We will also discuss what’s next on the content and information horizon, including the role of machine learning and why these approaches are needed for AI-Powered applications, including LLMs and ChatGPT types of information access.
Generative AI is getting all the attention, headlines, and industry hype. Organizations are looking at how it can be used to create better employee and customer experiences by unlocking the potential stored in the vast troves of unstructured data that house knowledge assets.
We will begin by providing an overview of the fundamental concepts and advances in generative AI, followed by an in-depth examination of the importance of knowledge management in developing, implementing, and improving these systems.
We’ll discuss knowledge management approaches for the organization and retrieval of information, how retrieval fits in with content generation, and the challenges and opportunities it presents for the enterprise.
Understand the key steps to set up your next data discovery initiative for success using the latest methodology and technologies with Earley Information Science. In this webinar we partner with Expert.AI, a recognized leader in document-oriented text analytics platforms to explain the technical and methodological advances that enable better data discovery.
Seth Earley, Founder & CEO of Earley Information Science and author of the award winning book, "The AI Powered Enterprise" explains what an ontology is and why it is important when building any AI powered application, such as a chatbot.
Seth Earley, Founder & CEO of Earley Information Science and author of the award winning book, "The AI Powered Enterprise" explains what knowledge graphs are, how they compare to ontologies, and how they can be used to power AI driven applications.
In the rapidly evolving world of ChatGPT and Large Language Models (LLMs), businesses are understandably apprehensive. Numerous potential hazards and hurdles exist such as:
Unrealistic expectations of LLMs as a magic solution to managing corporate content without requisite human involvement
Difficulty distinguishing between creative outputs and fabricated responses (hallucinations)
Decisions around training models: balancing usefulness with the threat of exposing trade secrets or other proprietary knowledge
Absence of clear audit trails and citation sources
The risk of generating responses misaligned with company policies or brand image
Potential financial burden of proprietary LLMs and related enterprise software platforms
In this webinar, we will examine a structured approach to harvest, utilize, and protect corporate knowledge resources. We will explore how both commercial and open-source large language models can be leveraged to deliver precise conversational responses without jeopardizing intellectual property.
Learn how your organization can effectively use LLM based applications for competitive advantage. Using a general LLM will provide efficiency, but through standardization. Differentiation using your corporate terminology and knowledge will allow for competitive advantage. You don’t have to deploy ChatGPT to benefit from these approaches. They will improve the information metabolism of the enterprise and pave the way for advanced AI applications.
In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today)
Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers.
Core Insights Include:
Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base.
Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes.
Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies.
Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively.
This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.
A knowledge graph is a type of data representation that utilizes a network of interconnected nodes to represent real-world entities and the relationships between them. This makes it an ideal tool for data discovery, compliance, and governance tasks, as it allows users to easily navigate and understand complex data sets.
In this webinar, we will demystify knowledge graphs and explore their various applications in data discovery, compliance, and governance. We will begin by discussing the basics of knowledge graphs and how they differ from other data representation methods. Next, we will delve into specific use cases for knowledge graphs in data discovery, such as for exploring and understanding large and complex datasets or for identifying hidden patterns and relationships in data.
We will also discuss how knowledge graphs can be used in compliance and governance tasks, such as for tracking changes to data over time or for auditing data to ensure compliance with regulations. Throughout the webinar, we will provide practical examples and case studies to illustrate the benefits of using knowledge graphs in these contexts.
Finally, we will cover best practices for implementing and maintaining a knowledge graph, including tips for choosing the right technology and data sources, and strategies for ensuring the accuracy and reliability of the data within the graph.
Overall, this webinar will provide an executive level overview of knowledge graphs and their applications in data discovery, compliance, and governance, and will equip attendees with the tools and knowledge they need to successfully implement and utilize knowledge graphs in their own organizations.
*Thanks to ChatGPT for help writing this abstract.
In this session we will be discussing the challenges the organization faced in content usability, traceability, and findability, hindering their internal training workflows and access to critical knowledge assets.
We will also discuss what’s next on the content and information horizon, including the role of machine learning and why these approaches are needed for AI-Powered applications, including LLMs and ChatGPT types of information access.
Generative AI is getting all the attention, headlines, and industry hype. Organizations are looking at how it can be used to create better employee and customer experiences by unlocking the potential stored in the vast troves of unstructured data that house knowledge assets.
We will begin by providing an overview of the fundamental concepts and advances in generative AI, followed by an in-depth examination of the importance of knowledge management in developing, implementing, and improving these systems.
We’ll discuss knowledge management approaches for the organization and retrieval of information, how retrieval fits in with content generation, and the challenges and opportunities it presents for the enterprise.
Understand the key steps to set up your next data discovery initiative for success using the latest methodology and technologies with Earley Information Science. In this webinar we partner with Expert.AI, a recognized leader in document-oriented text analytics platforms to explain the technical and methodological advances that enable better data discovery.
Seth Earley, Founder & CEO of Earley Information Science and author of the award winning book, "The AI Powered Enterprise" explains what an ontology is and why it is important when building any AI powered application, such as a chatbot.
Seth Earley, Founder & CEO of Earley Information Science and author of the award winning book, "The AI Powered Enterprise" explains what knowledge graphs are, how they compare to ontologies, and how they can be used to power AI driven applications.
In the rapidly evolving world of ChatGPT and Large Language Models (LLMs), businesses are understandably apprehensive. Numerous potential hazards and hurdles exist such as:
Unrealistic expectations of LLMs as a magic solution to managing corporate content without requisite human involvement
Difficulty distinguishing between creative outputs and fabricated responses (hallucinations)
Decisions around training models: balancing usefulness with the threat of exposing trade secrets or other proprietary knowledge
Absence of clear audit trails and citation sources
The risk of generating responses misaligned with company policies or brand image
Potential financial burden of proprietary LLMs and related enterprise software platforms
In this webinar, we will examine a structured approach to harvest, utilize, and protect corporate knowledge resources. We will explore how both commercial and open-source large language models can be leveraged to deliver precise conversational responses without jeopardizing intellectual property.
Learn how your organization can effectively use LLM based applications for competitive advantage. Using a general LLM will provide efficiency, but through standardization. Differentiation using your corporate terminology and knowledge will allow for competitive advantage. You don’t have to deploy ChatGPT to benefit from these approaches. They will improve the information metabolism of the enterprise and pave the way for advanced AI applications.
Artificial intelligence (AI) is getting lots of attention but one key aspect is often overlooked, understated, or underestimated: the training of the AI through the behind-the-scenes preparation of the data. Getting an AI application to actually do something useful does not happen by magic. Algorithms are in place today, but until the system is taught, it will not produce the results you are hoping for. The more research you do, the more you realize that AI only works when it has the data it needs to spot trends, identify patterns, and provide functionality. No data? No AI. And it can't use just any unstructured data. The data needs to be high-quality data. Yes, it can be messy, but it can’t be poor quality. And depending on the application, the data will require structure and curation. Attend this keynote presentation from Seth Earley, CEO of Earley Information Sciences, to learn how to train your AI, the kinds of data that are needed to make it work, and why intelligent content is vital for artificial intelligence. November 30, 2017
The Increasing Criticality of MDM for Personalization for Customers and Employees
Master data management seems to be one of those perennial, evergreen programs that organizations continue to struggle with.
Every couple of years people say, “we're going to get a handle on our master data” and then spend hundreds of thousands to millions and tens of millions of dollars working toward a solution.
The challenge is that many of these solutions are not really getting to the root cause of the problem. They start with technology and begin by looking at specific data elements rather than looking at the business concepts that are important to the organization.
MDM programs are also difficult to anchor on a specific business value proposition such as improving the top line. Many initiatives are so deep in the weeds and so far upstream that executives lose interest and they lose faith in the business value that the project promises. Meanwhile frustrated data analysts, data architects and technology organizations feel cut off at the knees because they can't get the funding, support and attention that they need to be successful.
We've seen this time after time and until senior executives recognize the value and envision where the organization can go with control over its data across domains, this will continue to happen over and over again. Executives all nod their heads and say “Yes! Data is important, really important!” But when they see the price tag they say, “Whoa hold on there, it's not that important”.
Well, actually, it is that important.
We can't forget that under all of the systems, processes and shiny new technologies such as artificial intelligence and machine learning lies data. And that data is more important than the algorithm. If you have bad data your AI is not going to be able to fix it. Yes there are data remediation applications and there are mechanisms to harmonize or normalize certain data elements. But looking at this holistically requires human judgment: understanding business processes, understanding data flows, understanding dependencies and understanding of the entire customer experience ecosystem and the role of upstream tools, technologies and processes that enable that customer experience.
Until we take that holistic approach and connect it to business value these things are not going to get the time, attention and resources that they need.
Seth Earley, Founder & CEO, Earley Information Science
Dan O'Connor, Senior Product Manager at inriver
Enterprises are increasingly recognizing the critical need for knowledge management (KM) to power cognitive AI. In fact, KM and AI are two sides of the same coin. Training a chatbot requires the same organized information that we use to train a human. When you engineer knowledge correctly, you serve the needs of people today and prepare for greater automation in the future. In fact, the long term success of the organization will depend on doing just that – especially when the competition builds high functionality bots that will produce lower costs and better customer service. Those without the capability will not be competitive.
In this panel discussion, our experts discuss examples and approaches that show how KM supports AI and how to ensure the success of your KM initiative.
Knowledge management and AI
People and cultural considerations
Business justification for long term investment
Semantic AI Making Great Data and Making Data GreatSmartlogic
As humans, understanding everyday language and the meanings of words is easy. Transferring these same capabilities to a machine – not simple. Technologies like natural language processing (NLP), AI, and machine learning (ML) combined with Semantic Web technologies derive context and meaning from information in a consistent and reusable way.
Jeremy Bentley, CEO and Founder, and Scott Henninger, Senior Solution Architect from Smartlogic to learn how organizations use Semantic AI platforms like Semaphore to augment existing systems to deliver perceptive Insight Engines, enriched process automation, agile predictive analytics, and exceptional knowledge management.
Intelligent Virtual Assistants, also known as Intelligent Digital Assistants, are capturing market share rapidly. As analytics and AI technologies scale, and as some standard models begin to emerge, business are starting to consider how to introduce these kinds of solutions into their customer experiences. This white paper, "Making Intelligent Virtual Assistants a Reality" attempts to demystify multiple aspects of the intelligent application ecosystem.
What kind of useful business problems can be solved by Virtual Assistants?
What are the technologies that are behind creating a Virtual Assistant, and how many new capabilities need to be integrated into the enterprise to build and deliver a Virtual Assistant?
What kind of content, knowledge representation, information architecture, assets and business processes are needed to deliver a Virtual Assistant experience?
What skills, techniques and expertise are needed of deliver a Virtual Assistant solution to the market?
Learn what is required to design and build an Intelligent Virtual Assistant, and how to deploy intelligent applications in your enterprise to achieve real business value.
Ivyclique's Doodlebug is a multilingual content generation tool, ideally suited to corporations across industries, looking to generate fresh, meaningful and relevant content on a regular basis, in a matter of seconds. Ivyclique is a US firm with a Dutch subsidiary and is a part of Newchip's Global Tech Accelerator Program for select global technology start ups. It is also affiliated to B. Amsterdam, Europe's largest tech and AI hub.
AI-SDV 2021: Jay ven Eman - implementation-of-new-technology-within-a-big-pha...Dr. Haxel Consult
Synonym breaks search! How? Why is this important? What synonym is and how it breaks search will be explained with real-world examples. AI-based solutions are proposed, and relevant standards are identified. How synonym solutions should be used for search are explained. Learn what you can do yourself. Tools help, but it doesn’t have to be complicated, nor expensive. It is as straight forward as setting priorities!
In this session Seth Earley, author of the AI Powered Enterprise, discusses how to harness the power of artificial intelligence to drive extraordinary competitive advantage.
The first step towards understanding data assets’ impact on your organization is understanding what those assets mean for each other. Metadata – literally, data about data – is a practice area required by good systems development, and yet is also perhaps the most mislabeled and misunderstood Data Management practice. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight into the efficiency of organizational practices and enable you to combine practices into sophisticated techniques supporting larger and more complex business initiatives. Program learning objectives include:
- Understanding how to leverage metadata practices in support of business strategy
- Discuss foundational metadata concepts
- Guiding principles for and lessons previously learned from metadata and its practical uses applied strategy
Metadata strategies include:
- Metadata is a gerund so don’t try to treat it as a noun
- Metadata is the language of Data Governance
- Treat glossaries/repositories as capabilities, not technology
How Large Enterprises are Saving Millions in Operational Costs and Improving the Employee Experience.
In this session, Earley Information Science, with partner PeopleReign, will show how these programs can rapidly produce measurable results in weeks rather than months and years. While large-scale knowledge problems cannot be solved overnight, by focusing on narrow AI with clearly defined processes and curated knowledge, organizations can see ROI in as little as 30 days.
Top 10 Reasons to Learn Blockchain | Blockchain Training | Blockchain Tutoria...Edureka!
( Blockchain Training :https://www.edureka.co/blockchain-training)
This Edureka's Blockchain video tells you why Blockchain is one of the leading technology in today's IT Industry and why should you learn it. This video also shows the job opportunities and the market.
Here is the link to the Blockchain blog series: https://goo.gl/DPoAHR
You can also refer this playlist on Blockchain: https://goo.gl/V5iayd
Subscribe to our channel to get video updates. Hit the subscribe button above and click on the bell icon.
“Oh No… I Got a…”
Can you finish the line? (we’ll ask on the webinar for a free swag give-a-way)
I can.
And it’s not because I’ve got 3 amazing girls at home completely addicted to Tik Tok.
Well, maybe it is.
Or I may just be that much more hip than you.
All views expressed by the Author (Ryan Leary, our treasured CMO) concerning the levels of his own hipness are those of his own. RecruitingDaily does not own the above statement or necessarily even agree that Ryan is hip. At all.
Anyhow…
What does Google and Duck Duck Go have in common?
What does Bing have the power to do that Google cannot?
Did you know that Google is not the only search engine you should try to be using?
You heard that. You’re going to get a list about
It’s like that, AND…
We are going to rip through 10 of these suckers LIVE with Ronnie Bratcher in a 60-minute training session that will only be available to those that register.
Custom Search Engines with Ryan Leary and Ronnie Bratcher
Here’s what we are covering (in-depth)
Exploring other Search Engines (like, outside of the Googs). Stating the obvious, when using a search engine, most people use Google as their default tool.
Believe it or not, there are so many alternatives to find different subsets of data that potentially might not be indexed on Google.
In this session, Ronnie will introduce a few favorites and show you how they work, giving you the sweet gift of awareness to explore other search engines in existence.
Yes. THEY DO EXIST.
You’ll take this back to your desk immediately:
A new arsenal of active and little-used search engines with the playbook on how and when to use them.
Ronnie’s specific workflow for each search engine.
An understanding of how to use each search engine to target and connect with your key prospects.
A refreshingly easy source to use when you are stuck with no prospects to present to your hiring managers.
Modern SEO: What You Need to Compete in 2018Rebecca Gill
Modern SEO offers a world of unlimited opportunities and marketers are just beginning to experience the magic of advanced search engine optimization. Today’s search environment is an exciting time for website owners and bloggers.
What does modern SEO include?
Mobile first indexing
Voice search
The Knowledge Graph
Speed and performance optimization
AMP
Technical SEO
In this presentation, we review shifts in SEO and we cover some of the top SEO trends. You’ll learn what you focus on to be successful in 2018.
AI-SDV 2020: Can There Be Profitable Revenue from an AI Deployment? The Upsid...Dr. Haxel Consult
In the last twelve months AI activity has continued to accelerate. While there have been major setbacks in AI over the decades its recent up surge seems to be holding. Many positives stories are hitting the news, but is anyone actually making any money on AI deployments besides the big AI vendors? Have there been significant, meaningful cost reductions from AI deployments? Yes! Brief case studies will be presented from primary and secondary sources illustrating impacts on real world cost savings and revenue enhancements. As is always the case with real world projects there are lessons learned!
Many Organizations are struggling with the best way to govern and manage the use of Generative AI in the enterprise. There are many dimensions to this challenge ranging from ethical issues, data architecture and quality, legal and copywrite, operational and more.
This is why a governance framework needs to be carefully designed and put into place so the business can make the most use of this truly revolutionary technology, reduce and mitigate risks, control costs, maintain a positive employee and customer experience and most importantly, find competitive advantage in the marketplace.
Improving product data quality will inevitably increase your sales. However, there are other benefits (beyond improved revenue) from investing in product data to sustain your margins while lowering costs.
One poorly understood benefit of having complete, accurate, consistent product data is the reduction in costs of product returns. Managing logistics and resources needed to process returns, as well as the reduction in margins based on the costs of re-packaging or disposing of returned products, are getting more attention and analysis than in previous years.
This is a B2C and a B2B issue, and keeping more of your already-sold product in your customer’s hands will lower costs and increase margins at a fraction of the cost of building new market share.
This webinar will discuss how EIS can assist in all aspects of product data including increasing revenue and reducing the costs of returns. We will discuss how to frame the data problems and solutions tied to product returns, and ways to implement scalable and durable changes to improve margins and increase revenue.
More Related Content
Similar to Webinar: Powering Personalized Search with Knowledge Graphs
Artificial intelligence (AI) is getting lots of attention but one key aspect is often overlooked, understated, or underestimated: the training of the AI through the behind-the-scenes preparation of the data. Getting an AI application to actually do something useful does not happen by magic. Algorithms are in place today, but until the system is taught, it will not produce the results you are hoping for. The more research you do, the more you realize that AI only works when it has the data it needs to spot trends, identify patterns, and provide functionality. No data? No AI. And it can't use just any unstructured data. The data needs to be high-quality data. Yes, it can be messy, but it can’t be poor quality. And depending on the application, the data will require structure and curation. Attend this keynote presentation from Seth Earley, CEO of Earley Information Sciences, to learn how to train your AI, the kinds of data that are needed to make it work, and why intelligent content is vital for artificial intelligence. November 30, 2017
The Increasing Criticality of MDM for Personalization for Customers and Employees
Master data management seems to be one of those perennial, evergreen programs that organizations continue to struggle with.
Every couple of years people say, “we're going to get a handle on our master data” and then spend hundreds of thousands to millions and tens of millions of dollars working toward a solution.
The challenge is that many of these solutions are not really getting to the root cause of the problem. They start with technology and begin by looking at specific data elements rather than looking at the business concepts that are important to the organization.
MDM programs are also difficult to anchor on a specific business value proposition such as improving the top line. Many initiatives are so deep in the weeds and so far upstream that executives lose interest and they lose faith in the business value that the project promises. Meanwhile frustrated data analysts, data architects and technology organizations feel cut off at the knees because they can't get the funding, support and attention that they need to be successful.
We've seen this time after time and until senior executives recognize the value and envision where the organization can go with control over its data across domains, this will continue to happen over and over again. Executives all nod their heads and say “Yes! Data is important, really important!” But when they see the price tag they say, “Whoa hold on there, it's not that important”.
Well, actually, it is that important.
We can't forget that under all of the systems, processes and shiny new technologies such as artificial intelligence and machine learning lies data. And that data is more important than the algorithm. If you have bad data your AI is not going to be able to fix it. Yes there are data remediation applications and there are mechanisms to harmonize or normalize certain data elements. But looking at this holistically requires human judgment: understanding business processes, understanding data flows, understanding dependencies and understanding of the entire customer experience ecosystem and the role of upstream tools, technologies and processes that enable that customer experience.
Until we take that holistic approach and connect it to business value these things are not going to get the time, attention and resources that they need.
Seth Earley, Founder & CEO, Earley Information Science
Dan O'Connor, Senior Product Manager at inriver
Enterprises are increasingly recognizing the critical need for knowledge management (KM) to power cognitive AI. In fact, KM and AI are two sides of the same coin. Training a chatbot requires the same organized information that we use to train a human. When you engineer knowledge correctly, you serve the needs of people today and prepare for greater automation in the future. In fact, the long term success of the organization will depend on doing just that – especially when the competition builds high functionality bots that will produce lower costs and better customer service. Those without the capability will not be competitive.
In this panel discussion, our experts discuss examples and approaches that show how KM supports AI and how to ensure the success of your KM initiative.
Knowledge management and AI
People and cultural considerations
Business justification for long term investment
Semantic AI Making Great Data and Making Data GreatSmartlogic
As humans, understanding everyday language and the meanings of words is easy. Transferring these same capabilities to a machine – not simple. Technologies like natural language processing (NLP), AI, and machine learning (ML) combined with Semantic Web technologies derive context and meaning from information in a consistent and reusable way.
Jeremy Bentley, CEO and Founder, and Scott Henninger, Senior Solution Architect from Smartlogic to learn how organizations use Semantic AI platforms like Semaphore to augment existing systems to deliver perceptive Insight Engines, enriched process automation, agile predictive analytics, and exceptional knowledge management.
Intelligent Virtual Assistants, also known as Intelligent Digital Assistants, are capturing market share rapidly. As analytics and AI technologies scale, and as some standard models begin to emerge, business are starting to consider how to introduce these kinds of solutions into their customer experiences. This white paper, "Making Intelligent Virtual Assistants a Reality" attempts to demystify multiple aspects of the intelligent application ecosystem.
What kind of useful business problems can be solved by Virtual Assistants?
What are the technologies that are behind creating a Virtual Assistant, and how many new capabilities need to be integrated into the enterprise to build and deliver a Virtual Assistant?
What kind of content, knowledge representation, information architecture, assets and business processes are needed to deliver a Virtual Assistant experience?
What skills, techniques and expertise are needed of deliver a Virtual Assistant solution to the market?
Learn what is required to design and build an Intelligent Virtual Assistant, and how to deploy intelligent applications in your enterprise to achieve real business value.
Ivyclique's Doodlebug is a multilingual content generation tool, ideally suited to corporations across industries, looking to generate fresh, meaningful and relevant content on a regular basis, in a matter of seconds. Ivyclique is a US firm with a Dutch subsidiary and is a part of Newchip's Global Tech Accelerator Program for select global technology start ups. It is also affiliated to B. Amsterdam, Europe's largest tech and AI hub.
AI-SDV 2021: Jay ven Eman - implementation-of-new-technology-within-a-big-pha...Dr. Haxel Consult
Synonym breaks search! How? Why is this important? What synonym is and how it breaks search will be explained with real-world examples. AI-based solutions are proposed, and relevant standards are identified. How synonym solutions should be used for search are explained. Learn what you can do yourself. Tools help, but it doesn’t have to be complicated, nor expensive. It is as straight forward as setting priorities!
In this session Seth Earley, author of the AI Powered Enterprise, discusses how to harness the power of artificial intelligence to drive extraordinary competitive advantage.
The first step towards understanding data assets’ impact on your organization is understanding what those assets mean for each other. Metadata – literally, data about data – is a practice area required by good systems development, and yet is also perhaps the most mislabeled and misunderstood Data Management practice. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight into the efficiency of organizational practices and enable you to combine practices into sophisticated techniques supporting larger and more complex business initiatives. Program learning objectives include:
- Understanding how to leverage metadata practices in support of business strategy
- Discuss foundational metadata concepts
- Guiding principles for and lessons previously learned from metadata and its practical uses applied strategy
Metadata strategies include:
- Metadata is a gerund so don’t try to treat it as a noun
- Metadata is the language of Data Governance
- Treat glossaries/repositories as capabilities, not technology
How Large Enterprises are Saving Millions in Operational Costs and Improving the Employee Experience.
In this session, Earley Information Science, with partner PeopleReign, will show how these programs can rapidly produce measurable results in weeks rather than months and years. While large-scale knowledge problems cannot be solved overnight, by focusing on narrow AI with clearly defined processes and curated knowledge, organizations can see ROI in as little as 30 days.
Top 10 Reasons to Learn Blockchain | Blockchain Training | Blockchain Tutoria...Edureka!
( Blockchain Training :https://www.edureka.co/blockchain-training)
This Edureka's Blockchain video tells you why Blockchain is one of the leading technology in today's IT Industry and why should you learn it. This video also shows the job opportunities and the market.
Here is the link to the Blockchain blog series: https://goo.gl/DPoAHR
You can also refer this playlist on Blockchain: https://goo.gl/V5iayd
Subscribe to our channel to get video updates. Hit the subscribe button above and click on the bell icon.
“Oh No… I Got a…”
Can you finish the line? (we’ll ask on the webinar for a free swag give-a-way)
I can.
And it’s not because I’ve got 3 amazing girls at home completely addicted to Tik Tok.
Well, maybe it is.
Or I may just be that much more hip than you.
All views expressed by the Author (Ryan Leary, our treasured CMO) concerning the levels of his own hipness are those of his own. RecruitingDaily does not own the above statement or necessarily even agree that Ryan is hip. At all.
Anyhow…
What does Google and Duck Duck Go have in common?
What does Bing have the power to do that Google cannot?
Did you know that Google is not the only search engine you should try to be using?
You heard that. You’re going to get a list about
It’s like that, AND…
We are going to rip through 10 of these suckers LIVE with Ronnie Bratcher in a 60-minute training session that will only be available to those that register.
Custom Search Engines with Ryan Leary and Ronnie Bratcher
Here’s what we are covering (in-depth)
Exploring other Search Engines (like, outside of the Googs). Stating the obvious, when using a search engine, most people use Google as their default tool.
Believe it or not, there are so many alternatives to find different subsets of data that potentially might not be indexed on Google.
In this session, Ronnie will introduce a few favorites and show you how they work, giving you the sweet gift of awareness to explore other search engines in existence.
Yes. THEY DO EXIST.
You’ll take this back to your desk immediately:
A new arsenal of active and little-used search engines with the playbook on how and when to use them.
Ronnie’s specific workflow for each search engine.
An understanding of how to use each search engine to target and connect with your key prospects.
A refreshingly easy source to use when you are stuck with no prospects to present to your hiring managers.
Modern SEO: What You Need to Compete in 2018Rebecca Gill
Modern SEO offers a world of unlimited opportunities and marketers are just beginning to experience the magic of advanced search engine optimization. Today’s search environment is an exciting time for website owners and bloggers.
What does modern SEO include?
Mobile first indexing
Voice search
The Knowledge Graph
Speed and performance optimization
AMP
Technical SEO
In this presentation, we review shifts in SEO and we cover some of the top SEO trends. You’ll learn what you focus on to be successful in 2018.
AI-SDV 2020: Can There Be Profitable Revenue from an AI Deployment? The Upsid...Dr. Haxel Consult
In the last twelve months AI activity has continued to accelerate. While there have been major setbacks in AI over the decades its recent up surge seems to be holding. Many positives stories are hitting the news, but is anyone actually making any money on AI deployments besides the big AI vendors? Have there been significant, meaningful cost reductions from AI deployments? Yes! Brief case studies will be presented from primary and secondary sources illustrating impacts on real world cost savings and revenue enhancements. As is always the case with real world projects there are lessons learned!
Similar to Webinar: Powering Personalized Search with Knowledge Graphs (20)
Many Organizations are struggling with the best way to govern and manage the use of Generative AI in the enterprise. There are many dimensions to this challenge ranging from ethical issues, data architecture and quality, legal and copywrite, operational and more.
This is why a governance framework needs to be carefully designed and put into place so the business can make the most use of this truly revolutionary technology, reduce and mitigate risks, control costs, maintain a positive employee and customer experience and most importantly, find competitive advantage in the marketplace.
Improving product data quality will inevitably increase your sales. However, there are other benefits (beyond improved revenue) from investing in product data to sustain your margins while lowering costs.
One poorly understood benefit of having complete, accurate, consistent product data is the reduction in costs of product returns. Managing logistics and resources needed to process returns, as well as the reduction in margins based on the costs of re-packaging or disposing of returned products, are getting more attention and analysis than in previous years.
This is a B2C and a B2B issue, and keeping more of your already-sold product in your customer’s hands will lower costs and increase margins at a fraction of the cost of building new market share.
This webinar will discuss how EIS can assist in all aspects of product data including increasing revenue and reducing the costs of returns. We will discuss how to frame the data problems and solutions tied to product returns, and ways to implement scalable and durable changes to improve margins and increase revenue.
Some product information management (PIM) tools make it difficult to change core data models once they have been set up in the system. To avoid costly rework, you can utilize a “pre-PIM” design tool as a PIM accelerator. This class of software allows you to:
**Iterate on designs before committing to a PIM architecture
Improve data quality
**Collaborate on decision-making and audit trails
**Set up metrics around product data and attribute structure
**Correlate performance measures with metrics – product data and hierarchy improvements are correlated with user behaviors and outcomes
**Integrate governance content prior to PIM load
**Decrease reliance on spreadsheets
While some PIM tools include a subset of these functions, they are often lacking in flexibility, functionality, and integration capabilities, especially around product data model and hierarchy design changes.
In this webinar our PIM experts introduce a pre-PIM software solution that enables fluid design changes while ensuring data integrity, reducing risk, increasing stakeholder engagement, and showing clear ROI on investments in product data.
If you want to deliver a truly personalized product experience and strengthen customer loyalty, a Product Information Management System (PIM) is a must. PIM systems ensure clean, complete, and consistent data to enhance both the customer and employee experience. With intuitive management of complex product information, PIM unites internal teams with better visibility and reporting.
In this session our experts in enterprise information architecture and PIM technology explain ways you can:
--Streamline the complexity of supply chain information
--Publish consistent product information across all channels
--Adapt quickly to market changes and bring products to market faster
--Increase the total performance and profitability your Ecommerce business
Speakers:
Chantal Schweizer, Director of Solution Delivery at Earley Information Science
Jon C. Marsella, Founder, Chairman, and CEO at Jasper Commerce Inc.
In today's world everyone, including your B2B customers, expect personalized buying experiences. Unless you have the right information architecture in place to power your digital experience tools you will not be able to scale and retain trust with your customers.
In this webinar, B2B ecommerce experts Allison Brown with Earley Information Science and Jason Hein with Bloomreach walk through the reasons why you must invest in information architecture foundations in order to compete.
In this webinar Seth Earley establishes the formula for AI success, demystifies the topic for executives and provides actionable advice for data strategists.
Key Takeaways:
**AI-Powered solutions begin with a focus on business goals
**Successful AI requires a semantic data layer built on a solid enterprise information architecture.
**Instrumenting measuring ROI should be part of every AI program
Seth Earley, Founder & CEO of Earley Information Science and author of the award winning book, "The AI Powered Enterprise" explains how advanced concepts in information architecture, such as ontologies and knowledge engineering, are the basis for streamlined content workflows.
Earley Executive Roundtable for May 2016. Topic: Predictive Analytics, AI and the Promise of Personalization. Panelists are Seth Earley, EIS; Julie Penzott, Amplero; Adam Pease, Articulate Software. Host: Dino Eliopulos, EIS
Governance is the glue that holds various content, knowledge and data management initiatives together. It is increasingly necessary as a component of customer experience and marketing automation and integration initiatives. The challenge is that governance is not an exciting topic and it is difficult to get participation and buy in at the correct levels of the organization. How do you retain interest in these kinds of necessary programs? The answer is to tie governance to measurement of program and project progress, success and operations. Once governance is aligned with objectives and clearly defined measurement, the organization will focus the correct level of attention and governance will be successful.
This webinar will cover the challenges associated with data governance and the business impact of poor data quality on digital marketing programs and knowledge management systems. Expert panel members will discuss real-world examples of data governance best practices, how to avoid the common pitfalls and how to put a framework for a successful metrics-driven governance process in place.
Engaging with customers and providing an excellent customer experience depends on several capabilities:
having the right customer facing tools and technologies,
integrating internal sources of customer information to provide a clear picture of who they are,
and providing content needed to solve problems and meet customer needs in the context of their task.
The last is particularly challenging and requires that marketing organizations remove sources of friction in the content creation and management process.
In this month’s executive roundtable, we will discuss how improvements to search, content processes and data quality can all be achieved through a multi-faceted program to streamline knowledge management and collaboration and metrics that tie together seemingly disparate processes – such as customer satisfaction scores with data quality.
Search for the enterprise seems to have hit a wall. Bad search is the top complaint of users interacting with their internal data. Meanwhile, there is a seemingly never-ending flood of products, SaaS offerings and new solutions in the market all claiming and attempting to solve the problem.
In this roundtable, we will define what expectations organizations should really have about their search platforms and discuss what benefits to expect from using techniques like boosting, auto-classification, natural language processing, query expansion, entity extraction and ontologies. We will also explore what will supersede search in the enterprise.
Meaningful Metrics - Aligning Operational Metrics with Marketing & Customer E...Earley Information Science
Analytics and big data are the buzzwords de jour. But what is meaningful and how can success be measured in a tangible way? Marketing campaign dashboards, user behavior BI reports and on site clickstream data need to be correlated and interpreted in an actionable way, otherwise business owners will be quickly overwhelmed with data without deriving insights that can guide action.
This roundtable will revisit the topic of analytics and discuss practices for closing the data=>insight=>action loop.
Earley Executive Roundtable - Building a Digital Transformation Roadmap
Panelists:
Seth Earley, CEO, Earley Information Science (@sethearley)
Paul Wlodarczyk, VP, Client ServicesEarley Information Science (@twitcontentguy)
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.