This 10 minute excerpt is from our recent Jumpstart webinar series on Enterprise Information Architecture. In this brief summary, Seth Earley, CEO of Earley & Associates, outlines the key drivers behind the growing importance of information architecture in today's enterprise information management initiatives. Earley & Associates is an information management consulting firm which is working at the intersection of computer science and library science to connect business needs with technical solutions. Learn more at our website: www.earley.com.
Battle the Dark Side of Data GovernanceDATAVERSITY
On May 25th, 2018, Star Wars fans will enjoy a new movie while organizations world-wide must protect their EU customers’ data or risk the high penalties of non-compliance. Regulations such as SOX, HIPAA, and GDPR bring about specific requirements, rules, and guidelines for data governance that need to be understood and implemented to avoid serious fines. Tackling these will take a team effort - you can’t do this solo. IDERA’s Ron Huizenga will discuss how you can channel the Force for your data architecture with a high-level overview of the impact of industry and government regulations as well as address steps you can take within your data architecture to conquer the regulatory storm-troopers.
Implementing Data Governance & ISMS in a UniversityKate Carruthers
This document discusses implementing data governance and an information security management system (ISMS) at the University of New South Wales (UNSW) in Australia. It explores the unique challenges of securing an institution with over 50,000 students and diverse research. Key steps taken include establishing data ownership and classification, implementing an ISMS framework, and building security awareness across the university community through collaborative forums. The goal is to standardize cybersecurity processes while incrementally strengthening protections for the university's data assets and systems.
The document discusses how eDiscovery has become a primary driver of litigation expenses and how organizations need to treat discovery as a critical business process. It outlines how automation and standardization of interrelated information governance and discovery processes can help organizations gain control over their data, reduce costs, and ensure defensible processes. The Iron Mountain Enterprise Discovery Suite is presented as a solution that can transform, automate, and integrate governance and discovery to proactively manage risk and simplify workflows.
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.
Data Science, Analytics and AI: Gamechangers for the Future of WorkSharala Axryd
The Center of Applied Data Science (CADS) was established in 2014 in Malaysia and expanded to Singapore in 2018. CADS aims to establish a global standard in data science and analytics education. It has produced over 1,000 data professionals and advised both government and corporate clients through its BOLT methodology of building capabilities, operating solutions, learning skills, and transferring knowledge. Data science and analytics roles such as data scientists, data analysts, and data engineers are in high demand with increasing salaries and opportunities for career advancement.
Earley Executive Roundtable on Data Analytics - Session 2 - Mining Business I...Earley Information Science
This document summarizes a panel discussion on mining business insights with big data analytics and the internet of things. The panelists were Bruce Daley from Tractica, John Spooner from Technology Business Research, Joanna Schloss from Dell, and Ram Sangireddy from Vitria Technology. They discussed key concepts like how sensors, connectivity and intelligence are enabling the internet of things. Other topics included implications for value chains, the role of analytics, and how business value comes from the intersection of business strategy, technology and IoT.
The document discusses how analytics and data can help organizations improve performance and address common reasons why analytics projects fail. It provides examples of how a Swedish bank called Handelsbanken successfully uses an empowering culture and personalized service to remain highly profitable. The document advocates that organizations build cultures allowing sustainable performance, empower people, and communicate strategies clearly. It also discusses how tools like data visualization and storytelling can help internal auditors gain insights from big data and improve auditing.
Heather Hedden presented on tools for taxonomies. She defined taxonomies as controlled lists of terms arranged hierarchically to facilitate navigation and matching of concepts. Taxonomy tools include thesaurus management software for maintaining term relationships, auto-categorization software for applying taxonomies to documents, and tools that combine both. While no list is definitive, she reviewed features of various thesaurus management and auto-categorization software products. Some tools specialize in taxonomy editing while others focus on auto-categorization, but connectors allow combining capabilities.
Mapping, Merging, and Multilingual TaxonomiesHeather Hedden
SLA 2012 conference presentation sponsored by the Taxonomy Division at SLA Chicago July 16 and re-presented at the New England Chapter on October 13, 2012.
Presentation given at the National Federation of Advanced Information Services (NFAIS) conference: "Improving the User Search Experience" October 2010, in Philadelphia, PA
This document provides an overview of taxonomy, ontology, folksonomies, and SKOS (Simple Knowledge Organization Systems). It defines each concept and provides examples. Taxonomy is described as a subject-based classification system. Ontology is defined as a formal specification of concepts and relationships. Folksonomies allow user-generated tagging. SKOS provides a standard for sharing and linking knowledge organization systems on the web. Bibliographies with relevant references are also included for each topic.
This document summarizes a survey of taxonomy building tools presented at a semantic technology conference. It discusses the evolution of needs for such tools from 1999 to address challenges of developing taxonomies, controlled vocabularies, and exposing metadata relationships. The document evaluates various thesaurus tools, brainstorming tools, ontology tools, and visualization tools based on ease of use, functionality, and ability to address current needs such as prototyping data relationships before implementing a data management solution. It concludes by asking what an ideal tool would look like.
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
The document discusses various methods for testing taxonomies, including card sorting, A/B testing, user/use case testing, indexing testing, and QA testing. Card sorting and A/B testing are used early in development to test structure and labeling ideas, while user testing, indexing testing, and QA testing validate that the taxonomy supports intended uses after implementation. Different tests are suited to different stages, and all aim to evaluate how well the taxonomy serves its purpose.
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.
User-Centric Design: How to Leverage Use Cases and User Scenarios to Design S...SPTechCon
The document discusses Seth Earley's experience and background in information architecture, as well as Earley & Associates' services in content management and search solutions. It then covers the user-focused approach to information architecture, which involves observing users, developing scenarios around tasks and audiences, and identifying the necessary content to support those scenarios. The goal is to translate user needs into an information architecture and content organization that meets those needs.
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
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.
Building a Metadata Infrastructure at American Greetings (taxonomy, faceted s...Robin Macrae
The document describes a case study of American Greetings' implementation of an enterprise digital asset management system to organize its digital content. The goals were to organize, manage, and maintain worldwide digital content, increase awareness and use of existing assets, and improve content quality, metadata consistency, and speed to market. The project involved developing a common taxonomy across business areas, tools, and functions to improve asset findability, facilitate reuse, and enable governance. Challenges included integrating legacy systems with different metadata schemas and getting agreement across various teams on taxonomy design and implementation.
SharePoint Searchin the Enterprise, Strategy and the New Search ParadigmRobin Macrae
In this presentation, Robin will draw upon a recent enterprise search strategy and roadmap project for a large U.S. financial institution. It's focus is developing a search strategy in which the enterprise adopts the new search paradigm, variously termed search as an app or search driven apps, and search becomes an integral component of the enterprise's approach to content and collaboration. Accordingly, he emphasizes business more than technical considerations and issues.
The first issue addressed is why search has risen to a new and central role in enterprise IT strategy. Next, he will outline the considerations in changing from an enterprise search platform to SharePoint 2013. Finally, he reviews the several models used in evaluating the maturity, requirements and direction for enterprise content.
Time permitting, the presentation will review some of the key elements of the new search paradigm and the noteworthy SP2013 search capabilities that deliver those elements.
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.
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.
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.
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.
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.
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.
With thousands of vendors in the marketplace, organizations are overwhelmed with choices around building their marketing technology stack. By evaluating tool choices according to a customer experience maturity model and aligning the results of that evaluation with the customer journey, organizations can make more intelligent choices around process gaps and acquire appropriate technologies to fill those gaps by relying on thoughtful analysis and fitness to purpose rather than being hijacked by slick vendor demonstrations. Using hands-on exercises, Seth Earley and Steve Walker will guide participants through the steps to understanding customer lifecycles and aligning stages with classes of technology in order to improve engagement. Attendees will leave with an approach for developing their own marketing technology blueprint.
Seth Earley Presentation on Knowledge Management Through Search-Based Applica...Earley Information Science
This document discusses search-based applications and knowledge management. It provides an overview of the challenges of search and how metadata and taxonomy are key to search. It defines what makes an application a "search-based application" as one that integrates disparate content from various locations and structures, aggregates the content, and integrates search into the user experience. Developing successful search-based applications requires having the right content structure, understanding business processes, and taking a holistic perspective of content, data, and user needs.
Big Data has moved beyond being just a buzzword. Organizations are operationalizing various Big Data technologies to answer critical business questions and power sophisticated workloads.
Building on the success of their 2012 “Big Data Comes of Age” research report, EMA VP of Research, Shawn Rogers, EMA Senior Analyst, John Myers, and 9sight Consulting Founder and Principal, Dr. Barry Devlin, will reveal their latest big data research findings during this informative Webinar.
Attendees will learn not just the what's of Big Data technologies but also the why’s of use cases, implementation strategies and technology choices, as well as discover:
>>Most popular use cases for big data based on nearly 600 projects reviewed in this research
>>Which Hadoop distributions are gaining traction
>>The technical and business-driven-challenges for Big Data
>>Most popular data sources for Big Data
>>How organizations are continuing the trend of implementing the EMA Hybrid Data Ecosystem (HDE) in association with their Big Data initiatives
The document provides an overview of a presentation by Donny Shimamoto on managing information for impact in nonprofits. Donny is the founder and managing director of an IT consultancy focused on nonprofits. He has expertise in IT management and is a recognized speaker on using information and technology to strengthen nonprofits. The presentation covers developing an IT strategy aligned with mission and business needs, understanding the value of information and how to collect the right data, developing an information architecture and enterprise architecture, and selecting information systems.
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
Dr. Harper, a global "Strategic hustler(TM)", has a progressively rich background leading and contributing to helping global & start-up organizations achieve strategic objectives through optimal performance of core business processes within an efficient information technology (IT) environment. Proven deliverer of value innovation through leading numerous process- and productivity-improvement initiatives, leverages emerging technologies for business transformation, orchestrates organizational change, while identifying and developing collaborative opportunities between business units and technology. He is a reputable source for establishing sound business practices emphasizing accountability, increased capacity, efficiency, effectiveness, quality, reduced spending and increased ROI/RONA for private and public sector clients.
An accomplished instructor and author, Dr. Harper is an engaging life-long learner and teacher who challenges his audience to leverage unique experiences to grow their mind, body, spirit, and community.
His leadership, teaching, and solutions-focused thinking has directed or contributed to strategic programs/projects with combined budgets of over $4 Billion generating combined revenues and savings of over $5 Billion for companies [start-ups, global] and governments [municipal, state, federal] on six continents [Africa, Asia, Australia, Europe, North America, and South America]. Core competencies include:
• Activity Based Costing/Management
• Business Intelligence
• Business Transformation
• Curriculum and Course Development and Delivery
• Earned-Value Management
• Enterprise Architecture
• Governance and Control / Compliance
• Organizational Change Management
• Organizational Project Management
• Process Re-engineering-Improvement
• Strategic Execution Management
• System Development Lifecycle Management
• Transformational Leadership
• Universal [Enterprise] Commerce
• Value Innovation
• Public Speaking
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.
This document outlines a 4-part series of sessions on rights management in Canada. The sessions will discuss challenges in the current rights management system and propose a collaborative industry initiative to develop standards. Session 1 will describe problems and the need for change. Session 2 will provide examples of rights management issues. Session 3 will discuss the role and limitations of technology. Session 4 will form a rights management working group to develop standards and next steps. The overall goal is to make the rights licensing process more efficient.
Similar to Seth Earley Talks About Enterprise Information Architecture (20)
In this follow-up session on knowledge and prompt engineering, we will explore structured prompting, chain of thought prompting, iterative prompting, prompt optimization, emotional language prompts, and the inclusion of user signals and industry-specific data to enhance LLM performance.
Join EIS Founder & CEO Seth Earley and special guest Nick Usborne, Copywriter, Trainer, and Speaker, as they delve into these methodologies to improve AI-driven knowledge processes for employees and customers alike.
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.
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.
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.
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
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 how advanced concepts in information architecture, such as ontologies and knowledge engineering, are the basis for streamlined content workflows.
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 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
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
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.
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.
The Zaitechno Handheld Raman Spectrometer is a powerful and portable tool for rapid, non-destructive chemical analysis. It utilizes Raman spectroscopy, a technique that analyzes the vibrational fingerprint of molecules to identify their chemical composition. This handheld instrument allows for on-site analysis of materials, making it ideal for a variety of applications, including:
Material identification: Identify unknown materials, minerals, and contaminants.
Quality control: Ensure the quality and consistency of raw materials and finished products.
Pharmaceutical analysis: Verify the identity and purity of pharmaceutical compounds.
Food safety testing: Detect contaminants and adulterants in food products.
Field analysis: Analyze materials in the field, such as during environmental monitoring or forensic investigations.
The Zaitechno Handheld Raman Spectrometer is easy to use and features a user-friendly interface. It is compact and lightweight, making it ideal for field applications. With its rapid analysis capabilities, the Zaitechno Handheld Raman Spectrometer can help you improve efficiency and productivity in your research or quality control workflows.
BLOCKCHAIN TECHNOLOGY - Advantages and DisadvantagesSAI KAILASH R
Explore the advantages and disadvantages of blockchain technology in this comprehensive SlideShare presentation. Blockchain, the backbone of cryptocurrencies like Bitcoin, is revolutionizing various industries by offering enhanced security, transparency, and efficiency. However, it also comes with challenges such as scalability issues and energy consumption. This presentation provides an in-depth analysis of the key benefits and drawbacks of blockchain, helping you understand its potential impact on the future of technology and business.
"Hands-on development experience using wasm Blazor", Furdak Vladyslav.pptxFwdays
I will share my personal experience of full-time development on wasm Blazor
What difficulties our team faced: life hacks with Blazor app routing, whether it is necessary to write JavaScript, which technology stack and architectural patterns we chose
What conclusions we made and what mistakes we committed
Discovery Series - Zero to Hero - Task Mining Session 1DianaGray10
This session is focused on providing you with an introduction to task mining. We will go over different types of task mining and provide you with a real-world demo on each type of task mining in detail.
Choosing the Best Outlook OST to PST Converter: Key Features and Considerationswebbyacad software
When looking for a good software utility to convert Outlook OST files to PST format, it is important to find one that is easy to use and has useful features. WebbyAcad OST to PST Converter Tool is a great choice because it is simple to use for anyone, whether you are tech-savvy or not. It can smoothly change your files to PST while keeping all your data safe and secure. Plus, it can handle large amounts of data and convert multiple files at once, which can save you a lot of time. It even comes with 24*7 technical support assistance and a free trial, so you can try it out before making a decision. Whether you need to recover, move, or back up your data, Webbyacad OST to PST Converter is a reliable option that gives you all the support you need to manage your Outlook data effectively.
Develop Secure Enterprise Solutions with iOS Mobile App Development ServicesDamco Solutions
The security of enterprise apps should not be overlooked by organizations. Since these apps handle confidential finance/user data and business operations, ensuring greater security is crucial. That’s why, businesses should hire dedicated iOS mobile application development services providers for creating super-secured enterprise apps. By incorporating sophisticated security mechanisms, these developers make enterprise apps resistant to a range of cyber threats.
Content source - https://www.bizbangboom.com/articles/enterprise-mobile-app-development-with-ios-augmenting-business-security
Read more - https://www.damcogroup.com/ios-application-development-services
Demystifying Neural Networks And Building Cybersecurity ApplicationsPriyanka Aash
In today's rapidly evolving technological landscape, Artificial Neural Networks (ANNs) have emerged as a cornerstone of artificial intelligence, revolutionizing various fields including cybersecurity. Inspired by the intricacies of the human brain, ANNs have a rich history and a complex structure that enables them to learn and make decisions. This blog aims to unravel the mysteries of neural networks, explore their mathematical foundations, and demonstrate their practical applications, particularly in building robust malware detection systems using Convolutional Neural Networks (CNNs).
LeadMagnet IQ Review: Unlock the Secret to Effortless Traffic and Leads.pdfSelfMade bd
Imagine being able to generate high-quality traffic and leads effortlessly. Sounds like a dream, right? Well, it’s not. It’s called LeadMagnet IQ, and it’s here to revolutionize your marketing efforts.
(Note: Download the paper about this software. After that, click on [Click for Instant Access] inside the paper, and it will take you to the sales page of the product.)
The History of Embeddings & Multimodal EmbeddingsZilliz
Frank Liu will walk through the history of embeddings and how we got to the cool embedding models used today. He'll end with a demo on how multimodal RAG is used.
Intel Unveils Core Ultra 200V Lunar chip .pdfTech Guru
Intel has made a significant breakthrough in the world of processors with the introduction of its Core Ultra 200V mobile processor series, codenamed Lunar Lake. This innovative processor marks a fundamental shift in the way Intel creates processors, with a high degree of aggregation, including memory-on-package (MoP). The Core Ultra 300 MX series is designed to power thin-and-light devices that are capable of handling the latest AI applications, including Microsoft's Copilot+ experiences.
The point here is that there are lots of definitions of enterprise architecture. This one was fairly succinct. The key is that it is a framework. When we look at organizations, we create a “domain model”. That domain model attempts to understand how people, systems, processes and organizing principles work together. This helps when developing new applications, integrating systems and improving the user experience when they interact with both structured and unstructured information
Content Choreography: Speak to definition on Slide 2 – other points are background for Q&A onlyDefinition: Earley & Associate’s proprietary methodology for dynamic web content presentation and search result relevancyBusiness Value: Provides a repeatable set of processes and frameworks for ensuring that retrieved content is relevant, fresh, and interesting without requiring custom crafting and manual maintenance of web pagesKey Enablers: Taxonomy, metadata, semantic search, business logic, auto-classification