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.
This document provides an overview of ontologies and how they can power artificial intelligence. It begins with biographies of Seth Earley, CEO and founder of Earley Information Science, who has over 20 years of experience in data science, technology, content management, and knowledge management. The document then discusses how ontologies can be used to describe domains of information and the relationships between taxonomies, thesauruses, and ontologies. It provides examples of how ontologies have been used by organizations like the Cleveland Museum of Art for traffic pattern analysis and by Allstate for semantic deconstruction. The document argues that ontologies can be applied to challenges like chatbots, question answering systems, and conversational commerce. It also discusses
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.
This document provides an overview of ontologies and how they can power artificial intelligence. It begins with biographies of Seth Earley, CEO and founder of Earley Information Science, who has over 20 years of experience in data science, technology, content management, and knowledge management. The document then discusses how ontologies can be used to describe domains of information and the relationships between taxonomies, thesauruses, and ontologies. It provides examples of how ontologies have been used by organizations like the Cleveland Museum of Art for traffic pattern analysis and by Allstate for semantic deconstruction. The document argues that ontologies can be applied to challenges like chatbots, question answering systems, and conversational commerce. It also discusses
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
- Ivyclique is launching AI-powered content solutions Doodlebug and Clockwork to address the growing $485M global content intelligence market.
- Doodlebug uses certified APIs to find and summarize trending content by geography. Clockwork is a cheaper content analytics platform focused on small/medium businesses.
- Their API-centric approach allows them to quickly integrate new technologies and stay responsive to market changes compared to retraining internal models.
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.
This document provides an overview of an expert panel discussion on intelligent virtual agents. It introduces the panelists and their backgrounds working in fields related to knowledge management, semantic search, and cognitive computing. The panel then discusses topics such as the continuum from basic search to intelligent assistants, the need for curated knowledge bases and domain models to power intelligent agents, and the importance of both automated and human-led approaches to data curation and classification. The panel also addresses the current limitations of technologies like machine learning and the hype around capabilities like natural language question answering.
The document discusses using artificial intelligence and big data in knowledge management. It covers extracting knowledge from data through information architecture and data curation. It then discusses utilizing AI to deliver knowledge through chatbots using natural language processing, predicting trending knowledge areas, and personalizing knowledge delivery. The goal is to provide knowledge management that is dynamic, accurate, and personalized through leveraging AI technologies.
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.
KM SHOWCASE 2020 - "Lessons Learned Building a Knowledge Graph" - Chris MarinoKM Institute
This document provides an overview of building a knowledge graph at the Inter-American Development Bank. It discusses how the Bank implemented a knowledge graph to automatically extract entities and concepts from content to create semantic data and recommendations. The solution involved developing taxonomies and ontologies, ingesting content, and using an extractor like PoolParty to tag documents and connect them to concepts in the knowledge graph. Key lessons included creating an organic taxonomy, leveraging extraction scores, using applicable sections of taxonomies, and developing a repeatable ingestion process to continually update the knowledge graph.
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.
KM SHOWCASE 2020 - "Implementing Knowledge-as-a-Service through the Digital W...KM Institute
The document discusses implementing Knowledge-as-a-Service (KaaS) through a digital workplace. KaaS blends knowledge management and AI to deliver the right knowledge to users. It discusses using AI for predictive analytics, knowledge mapping and chatbots. A case study describes implementing a KaaS framework and digital workplace at the IMF to improve knowledge sharing, collaboration and process efficiency across devices. Key challenges included integrating tools and developing an extensible information architecture to enable search and machine learning.
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.
The document provides tips for conducting professional internet research. It discusses preparing effective search queries by analyzing requirements, defining answerable questions, and creating a collection plan. Specific search engines like directories, single search engines, vertical search engines are described along with when each is most useful. Social media is also covered as an information source, with tips on evaluating reliability of accounts, websites, and determining serious content from satire. The document concludes with various search tips to improve relevance and exclude unwanted terms.
Ronnie Bratcher will introduce alternative search engines besides Google and teach how to use their syntax and techniques. The webinar will experiment with natural language search on engines like eTools, Carrot2, Peekier, Millionshort, Metager, Gibiru and Mojeek. Attendees can ask questions and will receive a recording of the slides and webinar.
Modern SEO: What You Need to Compete in 2018Rebecca Gill
1. The document discusses the key elements needed to compete in search engine optimization (SEO) in 2018, including modern SEO techniques, semantic search, the Google Knowledge Graph, structured data and schema, voice search, and mobile first indexing.
2. Semantic search aims to improve search accuracy by understanding a searcher's intent and how it relates to content and trends. The Knowledge Graph and structured data help search engines understand content like humans to provide richer search results.
3. Technical SEO has expanded and now must be considered throughout the entire website development process, including content, architecture, hosting, coding, audits, and ongoing maintenance.
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.
Más contenido relacionado
Similar a 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
- Ivyclique is launching AI-powered content solutions Doodlebug and Clockwork to address the growing $485M global content intelligence market.
- Doodlebug uses certified APIs to find and summarize trending content by geography. Clockwork is a cheaper content analytics platform focused on small/medium businesses.
- Their API-centric approach allows them to quickly integrate new technologies and stay responsive to market changes compared to retraining internal models.
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.
This document provides an overview of an expert panel discussion on intelligent virtual agents. It introduces the panelists and their backgrounds working in fields related to knowledge management, semantic search, and cognitive computing. The panel then discusses topics such as the continuum from basic search to intelligent assistants, the need for curated knowledge bases and domain models to power intelligent agents, and the importance of both automated and human-led approaches to data curation and classification. The panel also addresses the current limitations of technologies like machine learning and the hype around capabilities like natural language question answering.
The document discusses using artificial intelligence and big data in knowledge management. It covers extracting knowledge from data through information architecture and data curation. It then discusses utilizing AI to deliver knowledge through chatbots using natural language processing, predicting trending knowledge areas, and personalizing knowledge delivery. The goal is to provide knowledge management that is dynamic, accurate, and personalized through leveraging AI technologies.
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.
KM SHOWCASE 2020 - "Lessons Learned Building a Knowledge Graph" - Chris MarinoKM Institute
This document provides an overview of building a knowledge graph at the Inter-American Development Bank. It discusses how the Bank implemented a knowledge graph to automatically extract entities and concepts from content to create semantic data and recommendations. The solution involved developing taxonomies and ontologies, ingesting content, and using an extractor like PoolParty to tag documents and connect them to concepts in the knowledge graph. Key lessons included creating an organic taxonomy, leveraging extraction scores, using applicable sections of taxonomies, and developing a repeatable ingestion process to continually update the knowledge graph.
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.
KM SHOWCASE 2020 - "Implementing Knowledge-as-a-Service through the Digital W...KM Institute
The document discusses implementing Knowledge-as-a-Service (KaaS) through a digital workplace. KaaS blends knowledge management and AI to deliver the right knowledge to users. It discusses using AI for predictive analytics, knowledge mapping and chatbots. A case study describes implementing a KaaS framework and digital workplace at the IMF to improve knowledge sharing, collaboration and process efficiency across devices. Key challenges included integrating tools and developing an extensible information architecture to enable search and machine learning.
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
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The document provides tips for conducting professional internet research. It discusses preparing effective search queries by analyzing requirements, defining answerable questions, and creating a collection plan. Specific search engines like directories, single search engines, vertical search engines are described along with when each is most useful. Social media is also covered as an information source, with tips on evaluating reliability of accounts, websites, and determining serious content from satire. The document concludes with various search tips to improve relevance and exclude unwanted terms.
Ronnie Bratcher will introduce alternative search engines besides Google and teach how to use their syntax and techniques. The webinar will experiment with natural language search on engines like eTools, Carrot2, Peekier, Millionshort, Metager, Gibiru and Mojeek. Attendees can ask questions and will receive a recording of the slides and webinar.
Modern SEO: What You Need to Compete in 2018Rebecca Gill
1. The document discusses the key elements needed to compete in search engine optimization (SEO) in 2018, including modern SEO techniques, semantic search, the Google Knowledge Graph, structured data and schema, voice search, and mobile first indexing.
2. Semantic search aims to improve search accuracy by understanding a searcher's intent and how it relates to content and trends. The Knowledge Graph and structured data help search engines understand content like humans to provide richer search results.
3. Technical SEO has expanded and now must be considered throughout the entire website development process, including content, architecture, hosting, coding, audits, and ongoing maintenance.
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 a 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.
This document summarizes a webinar on contextualized customer journeys and digital experience blueprints. The webinar agenda includes welcome remarks, key considerations from panelists on customer journey mapping and personas, and a panel discussion. Panelists include Seth Earley, Aliza Gold, and Dave Wieneke who provide their perspectives on developing customer journeys, personas, and addressing common challenges. The webinar aims to help organizations better understand customer experiences to inform digital transformation initiatives.
Earley Executive Roundtable - Building a Digital Transformation Roadmap
Panelists:
Seth Earley, CEO, Earley Information Science (@sethearley)
Paul Wlodarczyk, VP, Client ServicesEarley Information Science (@twitcontentguy)
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.