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.
We speak three times faster than we type. So why are we constantly filling out forms and navigating complex menus to get to the information we need? This presentation based on real world examples is about the productivity revolution that speech technology and intelligent virtual assistants are bringing to the Enterprise, from sales teams looking to work with their sales data on-the-go, to employees looking to enter expenses or time off from anywhere.
Seth Earley, Founder & CEO of Earley Information Science and author of the award winning book, "The AI Powered Enterprise" explains what an ontology is and why it is important when building any AI powered application, such as a chatbot.
Seth Earley, Founder & CEO of Earley Information Science and author of the award winning book, "The AI Powered Enterprise" explains how advanced concepts in information architecture, such as ontologies and knowledge engineering, are the basis for streamlined content workflows.
Slide deck from a webinar presented by Earley Information Science on How to Use Site Search to Drive Conversions and Create Customers. Features EIS Taxonomists John Phillips and Brian Eisenberg.
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.
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.
We speak three times faster than we type. So why are we constantly filling out forms and navigating complex menus to get to the information we need? This presentation based on real world examples is about the productivity revolution that speech technology and intelligent virtual assistants are bringing to the Enterprise, from sales teams looking to work with their sales data on-the-go, to employees looking to enter expenses or time off from anywhere.
Seth Earley, Founder & CEO of Earley Information Science and author of the award winning book, "The AI Powered Enterprise" explains what an ontology is and why it is important when building any AI powered application, such as a chatbot.
Seth Earley, Founder & CEO of Earley Information Science and author of the award winning book, "The AI Powered Enterprise" explains how advanced concepts in information architecture, such as ontologies and knowledge engineering, are the basis for streamlined content workflows.
Slide deck from a webinar presented by Earley Information Science on How to Use Site Search to Drive Conversions and Create Customers. Features EIS Taxonomists John Phillips and Brian Eisenberg.
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.
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.
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.
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)
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.
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.
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.
Webinar produced jointly by Earley Information Science and Riversand on how "Product Information is Key to Winning the Customer Experience Race." Featured speakers are Jeannine Bartlett, Chief Digital Strategist with EIS, and Cody Bateman, Client Relations Executive with Riversand.
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
Smart Data Webinar: A Roadmap for Deploying Modern AI in BusinessDATAVERSITY
Adopting elements of modern AI and cognitive computing - including advanced natural language processing, natural interface technologies such as gesture and emotion-recognition, and machine learning - is rapidly becoming a necessity for new applications. As people in all industries are exposed to better, more personalized and responsive experiences with software, they will begin to demand more from every system they use. For product strategists and developers, the issue is not whether to consider modern AI, the issue is how to do so most effectively.
Webinar participants will learn:
•How to classify and map application attributes to AI technologies and tools; including data attributes, end-user attributes, and context attributes such as weather and location
•How to prioritize applications in an existing portfolio for AI-enhancements, and
•How to assess organizational readiness for leveraging AI
Characteristics of highly effective enterprise virtual assistantsintelligentfactors
Framework for evaluating enterprise virtual agent technologies, also know as intelligent assistants, virtual assistants. Presentation first presented at the AVIOS-sponsored Mobile Voice Conference 2015.
AI Agent and Chatbot Trends For EnterprisesTeewee Ang
Renowned entrepreneurs and technologists including Mark Zuckerberg, Elon Musk and Reid Hoffman have recently declared their renewed interest in Artificial Intelligence (AI) projects. AI assistants and chatbots are fast becoming key AI applications. Read about the AI engines of chatbot and the key AI assistant trends in the enterprise and organisation.
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.
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)
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.
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.
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.
Webinar produced jointly by Earley Information Science and Riversand on how "Product Information is Key to Winning the Customer Experience Race." Featured speakers are Jeannine Bartlett, Chief Digital Strategist with EIS, and Cody Bateman, Client Relations Executive with Riversand.
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
Smart Data Webinar: A Roadmap for Deploying Modern AI in BusinessDATAVERSITY
Adopting elements of modern AI and cognitive computing - including advanced natural language processing, natural interface technologies such as gesture and emotion-recognition, and machine learning - is rapidly becoming a necessity for new applications. As people in all industries are exposed to better, more personalized and responsive experiences with software, they will begin to demand more from every system they use. For product strategists and developers, the issue is not whether to consider modern AI, the issue is how to do so most effectively.
Webinar participants will learn:
•How to classify and map application attributes to AI technologies and tools; including data attributes, end-user attributes, and context attributes such as weather and location
•How to prioritize applications in an existing portfolio for AI-enhancements, and
•How to assess organizational readiness for leveraging AI
Characteristics of highly effective enterprise virtual assistantsintelligentfactors
Framework for evaluating enterprise virtual agent technologies, also know as intelligent assistants, virtual assistants. Presentation first presented at the AVIOS-sponsored Mobile Voice Conference 2015.
AI Agent and Chatbot Trends For EnterprisesTeewee Ang
Renowned entrepreneurs and technologists including Mark Zuckerberg, Elon Musk and Reid Hoffman have recently declared their renewed interest in Artificial Intelligence (AI) projects. AI assistants and chatbots are fast becoming key AI applications. Read about the AI engines of chatbot and the key AI assistant trends in the enterprise and organisation.
Building customer relationships with intelligent virtual agents: A framework ...Creative Virtual
As part of the first Social Robotics & AI conference held in Oxford in September 2016, Creative Virtual's Founder & CEO, Chris Ezekiel, presented a session on intelligent virtual agents during the Customer Relationships stream.
So You’re Finally a Virtual Assistant...Now, What?Portfolio
"So You’re Finally a Virtual Assistant...Now, What?"
Originally a video found at:
http://www.youtube.com/virtualassistantinc
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http://www.virtualassistant.org/
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http://twitter.com/VAsocial
The “Old” world of BI, with its IT-centric solutions, OLAP-based reporting, and limited ad-hoc querying, has a lot of shortcomings that inhibit self-service BI. Yet, with increasing data complexity has come a new age of BI that is focused on taking strides to provide faster, more data-driven and integrated solutions to try and empower the business user.
More information can be found at sisense.com
Watson, IBM's cognitive computer is introducing a new age in business capabilities. Through its abilities to reason and understand human behaviour and events, and much more, it is allowing organizations to become something close to a sentient being. There is nothing like it.
Can AI compete with a smile? nicola strong srai presentation 14 september 2016Sudeep Sakalle
Can AI compete with a smile?
cognitive computing, Social robotics, machine learning , Robopsychology, AI, Avatars, Asimov’s-3-Laws-of-Robotics, Deep learning, GUI, Roboethics, Nao, Robothespian, Siri, Natural Language Understanding (NLU), Embodied Intelligence, virtual Machine, vision assistants, ISO13482:2014, Intelligence as a service, chatbots, extroverted, Cobotics, Pepper, Robonaut, Cobots, Roboethics, Uncanny Valley, Social robotics, M introverted, Robotic process, outsourcing, Softbots, dronoethics, Natural language, processing, GenuinePeoplePersonalities(GPP), Techno-ethics, Cortana, Internet of eyes,Trust, Interactive Voice Response (IVR), system, K9, Google, Patent, Emotion, reading technology, J.A.R.V.I.S., Internet of things
Thank you for your interest in the recent NY Outthink breakfast on July 19th at the Rainbow Room. Presentations shared highlighted how cognitive computing is being applied today in a variety of business situations, in many industries, and across multiple business functions. Presentation by Jason Kelley
Good teaching happens when competent teachers with non-discouraging personalities use non-defensive approaches to language teaching and learning, and cherish their students. Author: Dr. James E. Alatis
Dean Emeritus, School of Languages and Linguistics, Georgetown University.
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
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
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.
HPE IDOL Technical Overview - july 2016Andrey Karpov
Search and Analytics Platform for Text and Rich Media
Open Innovation is transforming everything
Connected people, apps and things generating massive data in many forms
How do you bridge the gap between data and outcomes?
Augmented Intelligence power apps for competitive advantage
Machine Learning at the Service of Business Augmented Intelligence
HPE Big Data Advanced Analytics Software Solutions
Strong information and weak information
HPE IDOL: Natural Language Processing (NLP) engine
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automa...Denodo
Watch full webinar here: https://bit.ly/43qJKwn
Data-led transformations are becoming more prevalent in recent years, across numerous industries. More and more senior leaders are looking for data to drive their business decisions and impact their bottom line. One key challenge facing such businesses is the ability to pivot to new technologies while maintaining investments in legacy systems they have grown to rely on. In an age where automation, internet-scale search, and advanced analytics are driving many new advances, it is important to understand that this is not only a pivot in terms of technologies, it is a pivot in terms of how we think about and utilize data of different types. Traditional systems since the 1970’s have been built around database concepts where data is physically pipelined, mapped together, statically modeled, and locked away in vaults. The types of vaults have evolved over time from basic databases, to data warehouses, to data lakes, to lake houses, and so on.
The fundamental premise remains: data is placed into sealed containers, such that the critical approach is around storage, instead of being aimed at retrieval. Reversing this approach can, instead, lead to understanding data as transient, on-demand, and immediately available to end users within a certain context. This talk will discuss certain contemporary concepts that are expanding the notion of data storage devices and, instead, are moving to loosely connected data retrieval devices, or in some cases, data generation devices. We will examine this shift in approach and what it means for designing and deploying new types of technologies that can be more flexible and provide improved business value for clients in the fast-paced evolving world of Artificial Intelligence.
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.
Understanding human information
•Access and understand virtually any source of information on-premise and in the cloud
•A strategic pillar of HP’s HAVEnBig Data platform
•Non-disruptive, manage-in-place approach complements any organization
Understanding What’s Possible: Getting Business Value from Big Data QuicklyInside Analysis
The Briefing Room with David Loshin and OpenText
Live Webcast April 14, 2015
https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=e079dc562543a394c5c5d0588e7cd9152
To be successful and practical in delivering meaningful insights, companies must embrace the three pillars of enterprise analytics: scalability, open standards, and speed to value. In doing so, organizations enable a range of options that can satisfy both data scientists and self-service business users alike. But getting there requires a thoughtful approach -- and some enterprise knowledge of statistical modeling. How can your company stay ahead of the game?
Register for this episode of The Briefing Room to learn from veteran Analyst David Loshin, as he explains why the fundamentals will always apply to the high-stakes game of analytics. He’ll be briefed by Allen Bonde of Actuate, now part of OpenText, who will showcase his company’s intelligence platform, which was designed from the ground up to embrace open standards and was purpose-built to serve large enterprises with a wide range of data needs. He'll demonstrate recent success stories using a number of Big Data sources, including device and machine data.
Visit InsideAnalysis.com for more information.
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.
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
Earley Executive Roundtable - Building a Digital Transformation Roadmap
Panelists:
Seth Earley, CEO, Earley Information Science (@sethearley)
Paul Wlodarczyk, VP, Client ServicesEarley Information Science (@twitcontentguy)
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
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⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
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➢ Korean President visits Samsung Electronics R&D Center
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The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
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Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
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