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.
This session will cover issues in implementing an effective search experience and the range of available add-ons and compatible tools for extending search functionality.
As the volume of information creeps steadily up in your SharePoint portal, so does the importance of sound navigation and metadata that can be leveraged for search. There are challenges around implementing hierarchical metadata and faceted search in SharePoint.
Lars Fastrup will discuss various options for creating an effective navigation and faceted search experience in Sharepoint. Paul Wlodarczyk will cover the range of available SharePoint add-ons and compatible tools to help you manage metadata, taxonomies and provide more robust search and tagging.
Topics include:
• Navigation pain points in SharePoint search
• Using faceted search for better navigation
• Build vs. buy scenarios for custom taxonomy & faceted search
• Taxonomy/Metadata/Search vendor landscape overview
• Specific tool features and limitations
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.
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.
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.
This session will cover issues in implementing an effective search experience and the range of available add-ons and compatible tools for extending search functionality.
As the volume of information creeps steadily up in your SharePoint portal, so does the importance of sound navigation and metadata that can be leveraged for search. There are challenges around implementing hierarchical metadata and faceted search in SharePoint.
Lars Fastrup will discuss various options for creating an effective navigation and faceted search experience in Sharepoint. Paul Wlodarczyk will cover the range of available SharePoint add-ons and compatible tools to help you manage metadata, taxonomies and provide more robust search and tagging.
Topics include:
• Navigation pain points in SharePoint search
• Using faceted search for better navigation
• Build vs. buy scenarios for custom taxonomy & faceted search
• Taxonomy/Metadata/Search vendor landscape overview
• Specific tool features and limitations
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.
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.
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.
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.
Tagging isn’t new - it’s been around for a dog’s age in internet years. But in the past few years some fresh ideas and tools have reinvigorated the social tagging world. These new approaches include an attempt to improve findability through a bit of structure and control. While the idea of adding control to folksonomy seems like going against the whole selling point of social tagging (flexibility, openness), it is bringing the tagging to a new level, making it more viable for practical use in enterprises. This session will present hybrid approaches to formal taxonomies and social tagging. How can they be used in the corporate environment? What type of content is appropriate for social tagging? What kind of software is available for the enterprise? Learn how social tagging is not necessarily anathema to corporate taxonomy programs and how this hybrid approach can bring the best of both worlds: a fresh, up to date taxonomy with the structure needed to improve information findability.
Key Takeaways:
Folksonomy and taxonomy defined
Drawbacks of pure social tagging
Social tagging in the enterprise
Hybrid taxonomy & folksonomy approaches: Four models
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.
Earley Executive Roundtable on Data Analytics - Session 1 - The Business Pote...Earley Information Science
Business Potential of Machine Learning and Cognitive Computing. Speakers include:
– Bruce Daley Principal Analyst, Tractica (@brucedaley)
– Olly Downs, Chief Scientist/CTO, Globys (@globysinc )
– Mitchell Shuster, Data Scientist, Knowledgent (@Knowledgent)
– Patrick Heffernan, Practice Manager, TBR (@TBR_PatrickH)
Why does your organization need IOA trained professionals? What are the AIIM IOA certificate courses like? These questions and more are answered in this one hour presentation.
Artificial intelligence (AI) is getting lots of attention but one key aspect is often overlooked, understated, or underestimated: the quality of “training” information and the structure of that information – the Information Architecture or “IA”. AI only works when it has the data it needs to spot trends, identify patterns and provide functionality – especially when it comes to chatbots and other so called “cognitive” technologies. While many recent high profile attempts at chatbots have failed, they are getting better and one day will be indispensable. Organizations need to do certain things to prepare for a future of bots and AI-driven processes. This session will outline what that looks like and how organizations can solve problems today while preparing themselves for a future where businesses will succeed or fail based on the power of their bots.
Successful Processes for Selecting a Content Management System: How to Become...Scott Abel
Presented at DocTrain East 2007 by Mary Laplante and Geoff Bock, The Gilbane Group -- A critical skill set for any content management professional relates to the successful acquisition of technology that solves business problems. If your currentor futureחresponsibilities include identifying the right solutions for your company or client, this is a dont-miss session for you.
A content management solution that delivers business value starts with choosing the right technology. Even with consolidation, the CMS market continues to grow, presenting buyers with an overwhelming number of options from which to choose. Mary Laplante and a panel of senior content management analysts and consultants provide you with insight and advice on acquisition processes that will help you map a path to success, set mile markers to guide your way, and reach your goal of choosing the right content technologies for your organization.
Topics to be covered include:
* Making the business case for investment in content technologies: cost savings PLUS revenues equal the big picture for executives.
* Distilling the key requirements: how to focus the technology investigation and avoid distraction.
* Developing an acquisition strategy: tools such as RFIs, RFPs, vendor-supported discovery processes, benchmarking peer organizations, conference-room pilots, and proof-of-concepts can help or hinder your acquisition process.
* Funneling vendors from short list to partner: what you need to know about the last mile to vendor-of-choice.
* Understanding technology delivery options: how software-as-service offers should be evaluated in the technology acquisition process.
DocTrain attendees will have a unique opportunity to shape the content delivered in the session. Prior to DocTrain East, the session moderator and panelists will host discussions and surveys related to technology acquisition processes on http://cmprofessionals.org and http://gilbane.com. You will have a chance to pose your questions in advance and to participate in surveys on key challenges you face in bringing content technologies into the enterprise.
Rich Mironov's keynote for one-day agile workshop. Intro to agile development and agile organizations, tools, impact on whole organization, product management and product planning. Co-sponsored by AccuRev, Coverity, Electric Cloud, Enthiosys, Rally and Agile Journal.
Metadata Matters – Collaboration, Search, and Information Governance at Brail...Concept Searching, Inc
Brailsford & Dunlavey has earned a reputation as a premier national program management firm, overseeing billions of dollars in new construction and renovation projects. It offers comprehensive services, ranging from planning through implementation, and manages all areas of risk, and maintains constant control of budget, schedule, and quality.
Brailsford & Dunlavey’s goal was to update its SharePoint 2010 intranet, to refresh an out-of-the-box design and to improve usability and collaboration. The existing intranet lacked a clear governance structure, effective information architecture, and mobile accessibility. With nearly 70,000 documents and more than 8,000 list items on its intranet, and another 200,000 on its client portal, the firm needed a way to make intranet content significantly more accessible to employees across several national offices.
The redeveloped and redesigned intranet was implemented with responsive design, to encourage the highly mobile workforce to access the site from anywhere. The intranet’s new, intuitive design reflects the look and feel of Brailsford & Dunlavey’s public facing website, and the refreshed information architecture has provided a clear path to find important information.
Join Brailsford & Dunlavey and Concept Searching to:
• Discover what was done from a technology perspective
• Understand how all the firm’s documents were tagged and classified
• Find out how long the project took
• Hear about challenges and lessons learned
• Learn what the benefits have been
• Watch a demo and see the intranet in action
Earley Executive Roundtable - Building a Digital Transformation Roadmap
Panelists:
Seth Earley, CEO, Earley Information Science (@sethearley)
Paul Wlodarczyk, VP, Client ServicesEarley Information Science (@twitcontentguy)
This is the three-hour "Taxonomy 101" Presentation delivered at KMWorld 2021 (Virtual, KMWorld Connect). The presentation details taxonomy and ontology definitions, business value, and design methodologies. It also covers the concept of Knowledge Graphs in detail. Special attention is given to the differences between taxonomy and ontologies (both from a use and design perspective).
Taxonomy: Hero of Advanced Content - GS1 Connect 2019Laura Creekmore
Learn how taxonomy and structured content can support you in building advanced content like chatbots, voice skills, and AI, and in succeeding in today's ecommerce landscape.
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.
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.
Tagging isn’t new - it’s been around for a dog’s age in internet years. But in the past few years some fresh ideas and tools have reinvigorated the social tagging world. These new approaches include an attempt to improve findability through a bit of structure and control. While the idea of adding control to folksonomy seems like going against the whole selling point of social tagging (flexibility, openness), it is bringing the tagging to a new level, making it more viable for practical use in enterprises. This session will present hybrid approaches to formal taxonomies and social tagging. How can they be used in the corporate environment? What type of content is appropriate for social tagging? What kind of software is available for the enterprise? Learn how social tagging is not necessarily anathema to corporate taxonomy programs and how this hybrid approach can bring the best of both worlds: a fresh, up to date taxonomy with the structure needed to improve information findability.
Key Takeaways:
Folksonomy and taxonomy defined
Drawbacks of pure social tagging
Social tagging in the enterprise
Hybrid taxonomy & folksonomy approaches: Four models
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.
Earley Executive Roundtable on Data Analytics - Session 1 - The Business Pote...Earley Information Science
Business Potential of Machine Learning and Cognitive Computing. Speakers include:
– Bruce Daley Principal Analyst, Tractica (@brucedaley)
– Olly Downs, Chief Scientist/CTO, Globys (@globysinc )
– Mitchell Shuster, Data Scientist, Knowledgent (@Knowledgent)
– Patrick Heffernan, Practice Manager, TBR (@TBR_PatrickH)
Why does your organization need IOA trained professionals? What are the AIIM IOA certificate courses like? These questions and more are answered in this one hour presentation.
Artificial intelligence (AI) is getting lots of attention but one key aspect is often overlooked, understated, or underestimated: the quality of “training” information and the structure of that information – the Information Architecture or “IA”. AI only works when it has the data it needs to spot trends, identify patterns and provide functionality – especially when it comes to chatbots and other so called “cognitive” technologies. While many recent high profile attempts at chatbots have failed, they are getting better and one day will be indispensable. Organizations need to do certain things to prepare for a future of bots and AI-driven processes. This session will outline what that looks like and how organizations can solve problems today while preparing themselves for a future where businesses will succeed or fail based on the power of their bots.
Successful Processes for Selecting a Content Management System: How to Become...Scott Abel
Presented at DocTrain East 2007 by Mary Laplante and Geoff Bock, The Gilbane Group -- A critical skill set for any content management professional relates to the successful acquisition of technology that solves business problems. If your currentor futureחresponsibilities include identifying the right solutions for your company or client, this is a dont-miss session for you.
A content management solution that delivers business value starts with choosing the right technology. Even with consolidation, the CMS market continues to grow, presenting buyers with an overwhelming number of options from which to choose. Mary Laplante and a panel of senior content management analysts and consultants provide you with insight and advice on acquisition processes that will help you map a path to success, set mile markers to guide your way, and reach your goal of choosing the right content technologies for your organization.
Topics to be covered include:
* Making the business case for investment in content technologies: cost savings PLUS revenues equal the big picture for executives.
* Distilling the key requirements: how to focus the technology investigation and avoid distraction.
* Developing an acquisition strategy: tools such as RFIs, RFPs, vendor-supported discovery processes, benchmarking peer organizations, conference-room pilots, and proof-of-concepts can help or hinder your acquisition process.
* Funneling vendors from short list to partner: what you need to know about the last mile to vendor-of-choice.
* Understanding technology delivery options: how software-as-service offers should be evaluated in the technology acquisition process.
DocTrain attendees will have a unique opportunity to shape the content delivered in the session. Prior to DocTrain East, the session moderator and panelists will host discussions and surveys related to technology acquisition processes on http://cmprofessionals.org and http://gilbane.com. You will have a chance to pose your questions in advance and to participate in surveys on key challenges you face in bringing content technologies into the enterprise.
Rich Mironov's keynote for one-day agile workshop. Intro to agile development and agile organizations, tools, impact on whole organization, product management and product planning. Co-sponsored by AccuRev, Coverity, Electric Cloud, Enthiosys, Rally and Agile Journal.
Metadata Matters – Collaboration, Search, and Information Governance at Brail...Concept Searching, Inc
Brailsford & Dunlavey has earned a reputation as a premier national program management firm, overseeing billions of dollars in new construction and renovation projects. It offers comprehensive services, ranging from planning through implementation, and manages all areas of risk, and maintains constant control of budget, schedule, and quality.
Brailsford & Dunlavey’s goal was to update its SharePoint 2010 intranet, to refresh an out-of-the-box design and to improve usability and collaboration. The existing intranet lacked a clear governance structure, effective information architecture, and mobile accessibility. With nearly 70,000 documents and more than 8,000 list items on its intranet, and another 200,000 on its client portal, the firm needed a way to make intranet content significantly more accessible to employees across several national offices.
The redeveloped and redesigned intranet was implemented with responsive design, to encourage the highly mobile workforce to access the site from anywhere. The intranet’s new, intuitive design reflects the look and feel of Brailsford & Dunlavey’s public facing website, and the refreshed information architecture has provided a clear path to find important information.
Join Brailsford & Dunlavey and Concept Searching to:
• Discover what was done from a technology perspective
• Understand how all the firm’s documents were tagged and classified
• Find out how long the project took
• Hear about challenges and lessons learned
• Learn what the benefits have been
• Watch a demo and see the intranet in action
Earley Executive Roundtable - Building a Digital Transformation Roadmap
Panelists:
Seth Earley, CEO, Earley Information Science (@sethearley)
Paul Wlodarczyk, VP, Client ServicesEarley Information Science (@twitcontentguy)
This is the three-hour "Taxonomy 101" Presentation delivered at KMWorld 2021 (Virtual, KMWorld Connect). The presentation details taxonomy and ontology definitions, business value, and design methodologies. It also covers the concept of Knowledge Graphs in detail. Special attention is given to the differences between taxonomy and ontologies (both from a use and design perspective).
Taxonomy: Hero of Advanced Content - GS1 Connect 2019Laura Creekmore
Learn how taxonomy and structured content can support you in building advanced content like chatbots, voice skills, and AI, and in succeeding in today's ecommerce landscape.
Demystifying AI-chatbots Just add CUI to your business appsGrid Dynamics
Artificial Intelligence is a hot topic today. There is no doubt AI is making a huge impact not only on daily lives of individuals, but also on the way the companies operate. Businesses of all kinds are now integrating Intelligent chatbots into their business model.
In this talk, we will discuss technologies capabilities for building chatbots. The focus will be on solutions which are less trivial than you typically will see in talks like “step-by-step guidance how to build the chatbot” . In this presentation you will learn:
- What is the difference between hype and actual conversational technology capabilities;
- Why it’s good time to start mastering conversational user interfaces;
- How to build a chatbot with AIaaS and what you’ll have to do on your own.
https://blog.griddynamics.com/chatbots-in-retail-2017-is-shaping-up-to-be-a-big-year
Top Tips to Deliver Quality Web Experiences From IE 9 to the iPhoneCompuware APM
No matter what your customers use to access your website – from Internet Explorer 9 on a PC to Safari on an iPhone – they expect your site to be fast and work flawlessly.
Join our featured speakers, Harley Manning, VP and Research Director from independent research firm Forrester Research, Inc., and Compuware CTO APM Solutions Imad Mouline to learn:
- What growing browser and device proliferation means for IT and Website owners and developers
- The latest browser trends including the evolution of mobile and HTML 5
-Best practices for companies attempting to maintain cross-browser interoperability
How to meet customers’ web experience expectations regardless of browser or device
Networks are on the front lines of positive, negative, profitable, and dangerous issues in the affiliate world. Are they the digital hall monitors of affiliate marketing?
The next generation in customer engagement - Coginov Semantics search -Emmanuel Perdikis
interactive semantics search to understand your customers question and grow your understanding of what your customer is asking for and what you may be failing to deliver on your communications, offerings or website.
As chatbots and artificial intelligence (AI) continue to advance, there are growing concerns about the potential threat they pose to traditional business analysis professionals. However, there are also opportunities for these professionals to leverage these technologies to improve their skills and add value to their organisations. This presentation will explore the rise of chatbots, AI, and specifically ChatGPT, and their impact on the business analysis profession. Through this presentation, attendees will gain a deeper understanding of the ways in which these technologies can be both a threat and an opportunity for their careers, and what steps they can take to stay ahead of the curve in this rapidly changing landscape.
Learning Objectives:
1. We will discuss the current state of the technology, its potential applications, and the benefits and challenges it presents for business analysis professionals.
2. How business analysis professionals can stay ahead of the curve in this rapidly changing landscape.
Speaker Details:
Ronak Mathur - Automation Architect
Ronak Mathur is a software professional, International Speaker, tech community leader, mentor, and co-author with 6+ years of multinational leadership experience in Australia, the United States of America, and India, with specialisation across the verticals of Financial Services, Insurance and Healthcare. He has played various senior roles like Chief Operations Officer, Automation Architect, Automation Specialist and Automation Analyst in his career so far. Ronak has represented in many national and international conferences in Australia and the United States of America and being a tech community leader, he has played a key role in creating the ecosystem of Artificial Intelligence, Automation and Machine Learning in Queensland, Australia. He is also a mentor of university students and shares his industrial experience and guides them on their journey of becoming a professional. Ronak is also the “business Mentor – Technology” for Queensland Government and provides mentorship to businesses and helps them in scaling up their operations with the use of technology. Ronak’s tech articles and journals are published in the United States of America, based tech media house “Acceleration Economy”. His articles and journals are helping various businesses across the world in forming their strategies for leveraging technologies like AI and automation.
Hadi Hormozi - Senior Business Analyst
Hadi Hormozi is a highly industrious, practical, and detail-oriented Business Analyst with an extensive focus on requirement business process changes and improvements, along with proactively developing and maintaining technical business analysis awareness. Combine a strong passion for business and information technology to attain the goals of enterprise organisations.
HTML5 vs. Native Apps: Demystifying the Decision Making ProcessiTexico
It’s now clear that mobile is the path consumer markets are leaning towards to utilizing mobile apps as their preferred way to conduct e-commerce. According to a study by Gartner, 70% of customer interactions will originate from a mobile device by 2015. More and more organizations are realizing that mobile can significantly impact their core business operations and are transitioning to a mobile-based strategy. Therefore, iTexico partnered with Propelics to deliver a webinar: "HTML5 vs Native Apps: Demystifying The Decision Making Process" Here we present the slides from the last webinar.
Why do affiliates promoting digital goods are earning the most? The presentation will outline the traits and tactics best affiliates in the software industry use with specific case studies.
Experience level: Beginner, Intermediate, Advanced
Target audience: Affiliates/Publishers, Merchants/Advertisers
Niche/vertical: Software
Michael Ni, SVP, Marketing and Products, Avangate
Data science is the critical element in exploiting data, but several problems prevent organisations from maximising its value. Data scientists often find it hard to work efficiently, with delays in getting access to needed data and resources. Enterprise developers find it hard to incorporate machine learning models into their applications, and IT spends too much time supporting complex environments. Business users rarely are directly involved in the process and don’t have the means to build and consume their own predictive models. All of this means that business executives are not seeing the full ROI they expect from their data science and analytics investments. In this session, we will introduce some cloud based solutions designed to address these challenges.
Speaker: Stephen Weingartner, Solution Engineer, Oracle
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis ut imperdiet enim. Donec lectus eros, luctus quis dapibus ac, posuere sed dolor. Sed id orci at sapien hendrerit adipiscing et at enim. Nam eu adipiscing mauris. Nulla aliquam nisl nec risus viverra elementum. Maecenas facilisis.
This report offers an in-depth exploration of the application and potential of ChatGPT, a sophisticated AI conversational model developed by OpenAI. With over 100 practical examples of prompts, we aim to demonstrate the breadth of the model's capacity and its utility across diverse fields and industries, such as education, customer service, research, entertainment, and more.
Introduction:
ChatGPT is a highly advanced machine learning model that utilizes a transformer architecture for generating human-like text based on given prompts. It's part of OpenAI's GPT (Generative Pretrained Transformer) series, and as of our knowledge cutoff in 2021, its latest version is GPT-4. It has proven to be a transformative tool for various applications, such as drafting emails, writing code, creating content, answering queries, tutoring in various subjects, translating languages, simulating characters for video games, and more.
Chapter 1: Understanding ChatGPT
In this chapter, we delve into the basics of ChatGPT, starting with its origins and development. We touch on the model's architecture, including its use of attention mechanisms and transformer models, its training process using reinforcement learning from human feedback, and how it generates responses.
Here, we explore some of the myriad applications of ChatGPT across multiple sectors. We discuss how it's revolutionizing customer service by providing 24/7 support, aiding in education by personalizing learning, assisting researchers with literature reviews, and even creating dialogue for video games. Real-world examples and case studies are included to illustrate these applications.
This chapter serves as a comprehensive guide for utilizing ChatGPT effectively. We provide over 100 prompt examples spanning various fields, like marketing, healthcare, entertainment, etc. These prompts range from simple inquiries to complex, layered questions, giving readers a thorough understanding of how to harness the full potential of ChatGPT.
While the potential of ChatGPT is unquestionable, it's crucial to address the ethical implications of its use. This chapter delves into areas such as data privacy, the risk of misuse, and the importance of transparency. We also contemplate the future directions of AI conversation models like ChatGPT, discussing the potential for even more nuanced understanding and response generation.
In our concluding remarks, we reflect on the transformative potential of ChatGPT and similar AI models. We emphasize the model's ability to democratize access to information, offer personalized learning and support, and the broader implications for society.
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.
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.
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 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.
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
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.
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.
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.
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.
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, 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 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
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
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.
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.
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.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
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Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
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Using Product Data to Drive Chatbot Dialogs - GS1 2019
1. GS1 Connect 2019 | June 19-21
Conversational Commerce:
Using Product Information
to Drive ChatBot Dialogs
Seth Earley, Founder and CEO
Dave Skrobela, Client Partner
#convcomm
9. EIS KNOWLEDGE ENGINEERING
Product Bot Maturity (relative)
Configuration Bot
KE for content, bot services and context switching, with an ontology
management hub. Scalable. Reusable. Portable.
2
CPQ,
Transactions
Simple, Discrete
Tasks
MONETIZATION
&
ENGAGMENT
Expert Assistant Bot
Situational advisory and conversational commerce. Leverage
knowledge sources and eCatalogs across channels with a hybrid UX.
Expertise &
Commerce
3
Personal Concierge Bot
Tap into customer / user profiles, transactions and behavioral context to
personalize recommendations and carry on persistent conversations..
Personalized
Interactions
4
Intelligent Bot
Continuous feedback and machine learning on what worked (conversions), what
didn’t (dialog gaps), and emerging trend alerts. Integration of IOT signals / skills.
Continuous
Learning & IOT
5
Simple Product Retrieval Bot (Predefined Dialogs)
The typical “hard-coded” approach to chat bots and VAs – no knowledge
base or IA to leverage.
1
9
30. User invokes BEEF BOT Did you know…?
Ok. Go ahead.
OK, will you be cooking on a stovetop, in the oven or outdoor grilling?
1
2
outdoor grilling
3
1. Grilling on BBQ
2. Indirect Grilling
3. Rotisserie Grilling
Rotisserie grilling
Now, we can either check out some beef cuts, or explore some
recipe suggestions. Which would you prefer?
4
Beef cuts
I can show you lean beef cuts or cuts with more generous marbling
– which will it be?
5
something lean
Here are your beef cuts. Please click thru one to get recipe
suggestions
EIS BEEF Bot Dialog Flow
30