The document discusses building intelligent content from 30 years of legacy documents for a semiconductor manufacturing company. It describes four key challenges: 1) dealing with 30 years of legacy content in various formats, 2) providing information to customer engineers in clean rooms, 3) addressing intellectual property concerns with knowledge management, and 4) integrating various content systems. The presentation advocates a "four pillars" approach of considering people, processes, technology, and content to create an effective roadmap to intelligent content.
Oakton Technology Consulting implemented SharePoint 2010 to create a social intranet called Ozone to improve knowledge sharing, collaboration, and communication across its distributed workforce. Usage metrics showed improved employee satisfaction and retention as well as higher quality proposals through easier access to institutional knowledge. The system integrated with other systems and provided various collaboration and communication features to connect employees in different teams.
Business ontology - integrate knowledge 1/3 An overviewHeimo Hänninen
This document provides an overview of business ontology and how it can be used to integrate knowledge for applications. It discusses how business ontology can be used as an approach to model business entities, their properties and relationships to better organize information across different systems. The document is part of a set of presentations on business ontology that cover an overview, how to create a business ontology using a case study, and examples of semantic technology and reference cases.
Tran & Associates is an intellectual property law firm that specializes in patent procurement, trademark registration, technology transactions, and intellectual property strategies. The firm works with startups, large companies, and academic institutions across many industries such as semiconductor, medical devices, software, and networking. Led by Bao Tran, the firm's attorneys and technical advisors have extensive experience helping clients obtain, protect, license, and enforce their intellectual property.
Beyond Accidental Data Leakage is a company that provides services to help identify, minimize, and manage security threats from data leakage. They conducted a survey of over 200,000 hours of user activity and found that most data theft occurred through mobile devices, webmail, removable media, and web applications. Their findings showed that existing security policies were not being implemented or enforced by companies. They recommend prevention steps like implementing a data classification scheme, security awareness training, defensive monitoring measures, and enforcing policies to help combat accidental and intentional data leakage.
Introduction Of Sinostrat Solution (Sn)Julien Charre
Sinostrat Solutions is an internet marketing consulting company that offers various services including consulting, marketing solutions, branding and design, and web development. They provide services such as website audits, web design, content management system integration, search engine optimization, social media marketing, and online public relations. Sinostrat aims to help clients increase their online visibility, traffic, and brand recognition through strategic internet marketing solutions.
Keynote Presentation delivered by Richard Partridge at the 2008 BBSLG Conference, hosted by Leeds University and Leeds Metropolitan University, 9-11 July
Stupid Stock Plan Tricks: Saving Your Mind, Your Time, and Reducing Your Comp...Stock & Option Solutions
The document discusses common manual and paper-based processes used in stock plan administration and provides recommendations for automating and streamlining those processes. It addresses issues like using paper grant agreements, manual data entry, period close reconciliations, issuing stock certificates, and generating custom reports. Automating these processes can save time and reduce risks of errors by moving to electronic systems and electronic communication with employees.
According to the document, reported database thefts increased 37% from 2011 to the previous year. The document discusses how personal identity data has become a commodity that is bought and sold online. As the value of this data has decreased over time, the number of databases and amount of personal data collected has dramatically increased, fueling more database thefts. The document provides examples of how easily databases can be accessed without authorization, examines the profile of most database thieves, and provides best practices for database security to help prevent further theft.
This is a presentation delivered at the STC 2012 conference in Chicago. This presentation was intended to serve as an introduction but it did not pull any punches when it came to addressing the complex concepts involved.
Artificial, Inc. is an internet research and development company focused on building virtual worlds online. It has completed its 97/98 development plan which included creating several websites using technologies like Shockwave, RealVideo and animations. These sites include the GHKLibrary, which allows integrated searching and retrieval of online and desktop resources, and TalkStory Island, an online Hawaiian-themed chat site. Artificial also provides business analysis, internet product research and development, and training solutions for its clients.
Artificial, Inc. is an internet research and development company focused on building virtual worlds online. It has completed its 97/98 development plan which included creating several websites using technologies like Shockwave, RealVideo and graphics. These sites include the GHKLibrary, which allows integrated searching and retrieval of online and desktop resources, and TalkStory Island, a Hawaiian-themed chat site. Artificial also provides services like website development, online training solutions and business analysis.
This tutorial, given at CALIBER 2009 at Pondicherry University, aims at portraying the unlimited potential of a select set of Web based applications for libraries and information centers in a real world perspective by trying out open source solutions. It attempts to unleash and demystify the plethora of features and functionalities of some of the popular library management, digital library as well as OA Archive/Harvester applications such as KOHA, Greenstone, DSpace, OAI Harvester, Drupal etc..
Beezbox S: the integrated Social CRM & Marketing solutionSolofo RAFENO
Beezbox S (as Sales, Support & Social) is the new enterprise social media based service from Beezbox.
Unique in the market, Beezbox S empowers businesses growing their customer base while improving their customer support efficiency.
Discover here how could you Listen what people say on your company on facebook , twitter and blogs, Engage conversations with them and Transform them as potential new customers.
Beezbox S is a Socail CRM & Social Marketing combo service
Presentation given by Avigdor Sharon, Enterprise Knowledge Architect, IT, Global Knowledge Solutions Group of Amdocs at Enterprise 2.0 San Francisco 2009.
Luke Hohmann, founder and CEO of Enthiosys, discusses collaborative roadmap development and introduces innovation games as a tool to involve stakeholders. Innovation games are serious games that can be used to understand customer needs, requirements, and future products. One such game is called "Prune the Product Tree", where stakeholders draw and modify a tree representing a company's product portfolio and roadmap to provide ideas for new products and services. Hohmann emphasizes that innovation games leverage psychology to provide richer customer insights through verbal, written, and visual participation.
This document introduces Axiell DAMS, a digital asset management system. It discusses common problems organizations face with digital assets, such as disconnect between collections and marketing departments, preservation of assets, and ease of ingesting large volumes of assets. It describes key features of Axiell DAMS, including abstraction of storage for preservation, offline ingest capabilities, and an intuitive user interface. Finally, it outlines future developments, including expanding existing digital preservation workflows and exploring partnerships for long-term digital storage.
Slides from keynote talk at Dawson Day 2012 (slightly revised)
Contains stats on LSE Library collection trends and overview on how we made the case for LSE Digital Library and how we are progressing with implementation.
Slides of the lecture "Web-based business models" taught by Eduardo Larrain at HEC, a French business school (Strategic Management Master) during 4 classes in February 2013
2014 class with updated slides is here : http://fr.slideshare.net/EduardoLarrain/201402-web-based-business-models-lecture
1. What’s the web?
2. What’s a business model?
3. Why study Internet-based business models?
4. What are the key elements of a business model?
• Value proposition and revenue streams
• Drill-down of key Entertainment markets: music, video games, book publishing
• Customer channels, customer relationships, key partners, activities, resources, cost structure
5. What are the business models of Internet heavyweights: Facebook, Google, Zynga, Linkedin, Groupon
6. What are the most promising business models among the world’s most valuable companies: Digital 100, Twitter
7. Conclusion and farewell
8. Appendix: group project and individual test
- Intellectual property law covers primary rights such as patents, copyrights, trademarks, and trade secrets. It also covers sui generis rights and public domain works.
- The economic and cultural importance of intellectual property is increasing rapidly as the fortunes of many businesses now depend heavily on intellectual property rights.
- The term "intellectual property" refers to legal doctrines that regulate the uses of ideas, expressions, inventions, and insignia. This includes copyright, patent, trademark, trade secret, right of publicity, and other laws.
Automatic and rapid generation of massive knowledge repositories from dataSIKM
The document discusses the use of automated data-driven synthesis (DDS) to rapidly generate massive knowledge repositories directly from data. DDS uses a compiler-based approach to synthesize large quantities of high-quality, semantically linked content at low cost. This overcomes limitations of manual knowledge repository construction, including high costs, errors, and limited scale. DDS can synthesize a wide range of knowledge structures, from simple data records and reports to complex digital libraries and knowledge repositories.
Deploying Enterprise Search in PLM Context with ArasAras
The document discusses deploying enterprise search in a product lifecycle management (PLM) context. It describes a panel discussion with representatives from Aras, NorthRidge Software, and Alcove9. The panelists discuss the changing expectations for search, challenges with searching large PLM datasets, and their different approaches to enabling enterprise search for engineering data across systems. The document provides an overview of each company's products and vision for improved search capabilities.
The document announces an ISIS Open House and User Conference from May 2-4, 2010 in Vienna, Austria to showcase the latest features of the Papyrus Platform and focus on empowering business users, and includes the agenda, sessions, workshops and labs to be covered around topics like customer experience, document design, case management, interactive letter writing and more.
The document describes the Digital Enterprise Research Institute (DERI) and its work on enabling networked knowledge. DERI aims to link scientific research with industry through fundamental research, technology development, and education. Its goals include exploiting big data and enabling smart cities through removing data silos and leveraging linked open data. DERI is developing technologies like the Semantic Sensor Network ontology, CoAP protocol, and Continuous Query Evaluation over Linked Streams (CQELS) to process sensor data and queries over linked streams and datasets in real-time.
HP India Sales Pvt Ltd has proposed a Digital Repository Solution for an institution using the Dspace open source digital library system. The proposal outlines the benefits of digital repositories for preservation, access and discovery of digital materials. It describes key aspects of implementing Dspace such as its architecture with separate tiers for presentation, application processing and data storage. HP would deliver the installation, configuration and population of Dspace to create a digital repository for the institution's intellectual assets and research outputs.
Data Ninja Services: empowering data science workflows with text analyticsData Ninja API
The slides describe Data Ninja services for text analytics and semantic interpretation. Services are hosted on AWS and provide accurate sentiment analysis, categorization, concept and entity extraction at scale. A unique Smart Data service provides access to knowledge graphs which are updated on a daily basis to yieldmost accurate and up-to-date information.
The document summarizes common myths told by vendors about enterprise content management (ECM) systems. It discusses nine common myths, such as claims of being a market leader, experiencing high growth rates, having highly flexible systems, quick implementations, and low costs. The document aims to debunk these myths by examining vendors' actual capabilities and total costs of ownership over multiple years. It advises buyers to carefully evaluate vendors' product demonstrations, implementation timelines, development needs, pricing models, and global support coverage.
Similar to "Building Intelligent Content from 30 Years of Legacy Documents," Intelligent Content 2010, Paul Wlodarczyk (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.
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
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.
DefCamp_2016_Chemerkin_Yury-publish.pdf - Presentation by Yury Chemerkin at DefCamp 2016 discussing mobile app vulnerabilities, data protection issues, and analysis of security levels across different types of mobile applications.
How UiPath Discovery Suite supports identification of Agentic Process Automat...DianaGray10
📚 Understand the basics of the newly persona-based LLM-powered Agentic Process Automation and discover how existing UiPath Discovery Suite products like Communication Mining, Process Mining, and Task Mining can be leveraged to identify APA candidates.
Topics Covered:
💡 Idea Behind APA: Explore the innovative concept of Agentic Process Automation and its significance in modern workflows.
🔄 How APA is Different from RPA: Learn the key differences between Agentic Process Automation and Robotic Process Automation.
🚀 Discover the Advantages of APA: Uncover the unique benefits of implementing APA in your organization.
🔍 Identifying APA Candidates with UiPath Discovery Products: See how UiPath's Communication Mining, Process Mining, and Task Mining tools can help pinpoint potential APA candidates.
🔮 Discussion on Expected Future Impacts: Engage in a discussion on the potential future impacts of APA on various industries and business processes.
Enhance your knowledge on the forefront of automation technology and stay ahead with Agentic Process Automation. 🧠💼✨
Speakers:
Arun Kumar Asokan, Delivery Director (US) @ qBotica and UiPath MVP
Naveen Chatlapalli, Solution Architect @ Ashling Partners and UiPath MVP
"Making .NET Application Even Faster", Sergey Teplyakov.pptxFwdays
In this talk we're going to explore performance improvement lifecycle, starting with setting the performance goals, using profilers to figure out the bottle necks, making a fix and validating that the fix works by benchmarking it. The talk will be useful for novice and seasoned .NET developers and architects interested in making their application fast and understanding how things work under the hood.
Improving Learning Content Efficiency with Reusable Learning ContentEnterprise Knowledge
Enterprise Knowledge’s Emily Crockett, Content Engineering Consultant, presented “Improve Learning Content Efficiency with Reusable Learning Content” at the Learning Ideas conference on June 13th, 2024.
This presentation explored the basics of reusable learning content, including the types of reuse and the key benefits of reuse such as improved content maintenance efficiency, reduced organizational risk, and scalable differentiated instruction & personalization. After this primer on reuse, Crockett laid out the basic steps to start building reusable learning content alongside a real-life example and the technology stack needed to support dynamic content. Key objectives included:
- Be able to explain the difference between reusable learning content and duplicate content
- Explore how a well-designed learning content model can reduce duplicate content and improve your team’s efficiency
- Identify key tasks and steps in creating a learning content model
Redefining Cybersecurity with AI CapabilitiesPriyanka Aash
In this comprehensive overview of Cisco's latest innovations in cybersecurity, the focus is squarely on resilience and adaptation in the face of evolving threats. The discussion covers the imperative of tackling Mal information, the increasing sophistication of insider attacks, and the expanding attack surfaces in a hybrid work environment. Emphasizing a shift towards integrated platforms over fragmented tools, Cisco introduces its Security Cloud, designed to provide end-to-end visibility and robust protection across user interactions, cloud environments, and breaches. AI emerges as a pivotal tool, from enhancing user experiences to predicting and defending against cyber threats. The blog underscores Cisco's commitment to simplifying security stacks while ensuring efficacy and economic feasibility, making a compelling case for their platform approach in safeguarding digital landscapes.
Finetuning GenAI For Hacking and DefendingPriyanka Aash
Generative AI, particularly through the lens of large language models (LLMs), represents a transformative leap in artificial intelligence. With advancements that have fundamentally altered our approach to AI, understanding and leveraging these technologies is crucial for innovators and practitioners alike. This comprehensive exploration delves into the intricacies of GenAI, from its foundational principles and historical evolution to its practical applications in security and beyond.
Connector Corner: Leveraging Snowflake Integration for Smarter Decision MakingDianaGray10
The power of Snowflake analytics enables CRM systems to improve operational efficiency, while gaining deeper insights into closed/won opportunities.
In this webinar, learn how infusing Snowflake into your CRM can quickly provide analysis for sales wins by region, product, customer segmentation, customer lifecycle—and more!
Using prebuilt connectors, we’ll show how workflows using Snowflake, Salesforce, and Zendesk tickets can significantly impact future sales.
Welcome to Cyberbiosecurity. Because regular cybersecurity wasn't complicated...Snarky Security
How wonderful it is that in our modern age, every bit of our biological data can be digitized, stored, and potentially pilfered by cyber thieves! Isn't it just splendid to think that while scientists are busy pushing the boundaries of biotechnology, hackers could be plotting the next big bio-data heist? This delightful scenario is brought to you by the ever-expanding digital landscape of biology and biotechnology, where the integration of computer science, engineering, and data science transforms our understanding and manipulation of biological systems.
While the fusion of technology and biology offers immense benefits, it also necessitates a careful consideration of the ethical, security, and associated social implications. But let's be honest, in the grand scheme of things, what's a little risk compared to potential scientific achievements? After all, progress in biotechnology waits for no one, and we're just along for the ride in this thrilling, slightly terrifying, adventure.
So, as we continue to navigate this complex landscape, let's not forget the importance of robust data protection measures and collaborative international efforts to safeguard sensitive biological information. After all, what could possibly go wrong?
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This document provides a comprehensive analysis of the security implications biological data use. The analysis explores various aspects of biological data security, including the vulnerabilities associated with data access, the potential for misuse by state and non-state actors, and the implications for national and transnational security. Key aspects considered include the impact of technological advancements on data security, the role of international policies in data governance, and the strategies for mitigating risks associated with unauthorized data access.
This view offers valuable insights for security professionals, policymakers, and industry leaders across various sectors, highlighting the importance of robust data protection measures and collaborative international efforts to safeguard sensitive biological information. The analysis serves as a crucial resource for understanding the complex dynamics at the intersection of biotechnology and security, providing actionable recommendations to enhance biosecurity in an digital and interconnected world.
The evolving landscape of biology and biotechnology, significantly influenced by advancements in computer science, engineering, and data science, is reshaping our understanding and manipulation of biological systems. The integration of these disciplines has led to the development of fields such as computational biology and synthetic biology, which utilize computational power and engineering principles to solve complex biological problems and innovate new biotechnological applications. This interdisciplinary approach has not only accelerated research and development but also introduced new capabilities such as gene editing and biomanufact
It's your unstructured data: How to get your GenAI app to production (and spe...Zilliz
So you've successfully built a GenAI app POC for your company -- now comes the hard part: bringing it to production. Aparavi addresses the challenges of AI projects while addressing data privacy and PII. Our Service for RAG helps AI developers and data scientists to scale their app to 1000s to millions of users using corporate unstructured data. Aparavi’s AI Data Loader cleans, prepares and then loads only the relevant unstructured data for each AI project/app, enabling you to operationalize the creation of GenAI apps easily and accurately while giving you the time to focus on what you really want to do - building a great AI application with useful and relevant context. All within your environment and never having to share private corporate data with anyone - not even Aparavi.
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.
Retrieval Augmented Generation Evaluation with RagasZilliz
Retrieval Augmented Generation (RAG) enhances chatbots by incorporating custom data in the prompt. Using large language models (LLMs) as judge has gained prominence in modern RAG systems. This talk will demo Ragas, an open-source automation tool for RAG evaluations. Christy will talk about and demo evaluating a RAG pipeline using Milvus and RAG metrics like context F1-score and answer correctness.
Self-Healing Test Automation Framework - HealeniumKnoldus Inc.
Revolutionize your test automation with Healenium's self-healing framework. Automate test maintenance, reduce flakes, and increase efficiency. Learn how to build a robust test automation foundation. Discover the power of self-healing tests. Transform your testing experience.