What It Looked Like

•

58 likes•17,098 views

Jesse Desjardins - @jessedee

A look into what our software looked like.

Technology Sports

Click

For enjoyable viewing:
then tap.

Let’s go...

PowerPoint 2003

PowerPoint XP

PowerPoint 2007

Excel 1.01

Word 1.1

Outlook 97

Photoshop 1.07

@jessedee

Jesse Dee
twitter.com/jessedee
slideshare.net/jessedee

Photos: flickr: superbomba
Screenshots: guidebookgallery.org

What's hot

Too often I hear the question “Can you help me with our data strategy?” Unfortunately, for most, this is the wrong request because it focuses on the least valuable component: the data strategy itself. A more useful request is: “Can you help me apply data strategically?” Yes, at early maturity phases the process of developing strategic thinking about data is more important than the actual product! Trying to write a good (must less perfect) data strategy on the first attempt is generally not productive –particularly given the widespread acceptance of Mike Tyson’s truism: “Everybody has a plan until they get punched in the face.” This program refocuses efforts on learning how to iteratively improve the way data is strategically applied. This will permit data-based strategy components to keep up with agile, evolving organizational strategies. It also contributes to three primary organizational data goals. Learn how to improve the following: - Your organization’s data - The way your people use data - The way your people use data to achieve your organizational strategy This will help in ways never imagined. Data are your sole non-depletable, non-degradable, durable strategic assets, and they are pervasively shared across every organizational area. Addressing existing challenges programmatically includes overcoming necessary but insufficient prerequisites and developing a disciplined, repeatable means of improving business objectives. This process (based on the theory of constraints) is where the strategic data work really occurs as organizations identify prioritized areas where better assets, literacy, and support (data strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are also covered, including: - A cohesive argument for why data strategy is necessary for effective data governance - An overview of prerequisites for effective strategic use of data strategy, as well as common pitfalls - A repeatable process for identifying and removing data constraints - The importance of balancing business operation and innovation

Data Strategy Best Practices

DATAVERSITY

** Data Science Certification using R: https://www.edureka.co/data-science ** This Edureka "Data Science Applications" PPT takes you through the various domains in which data science is being deployed today, along with some potential applications of this technology. The world today runs on data and this PPT shows exactly that. Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist Follow us to never miss an update in the future. Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

Data Science Applications | Data Science For Beginners | Data Science Trainin...

Edureka!

Atelier n°3 les réseaux sociaux

Yves Jacquot

Business intelligence architecture

Slava Kokaev

Concorrência na Linguagem de Programação

Alexsandro Pereira

This webinar will provide an overview of the standard architecture components needed to perform analytics and derive data insights from within each of the three common database environments. This will include the sandbox environment for initial data assessment and data science modeling, the big data environment for batch analytics that includes critical governance components and the real-time analytics environment for real-time retrieval of data, and lastly, the integration of real-time data sources. We will also discuss: - Components for the data scientist sandbox / lab - Batch analytics with security and metadata - Data pipelines - Real-time access and streaming sources

DI&A Slides: Data Insights and Analytics Frameworks

DATAVERSITY

Whether you call it data munging, data cleansing, or data wrangling, everyone agrees that data preparation activities account for 80% of analysts’ time, leaving only 20% for analysis. Shifting this work to more specialized talent represents a major source of data analysis productivity improvements. This program “walks” through the major preparation categories including collection, evaluation, evolution, access design, and storage requirements. Understanding each in context also provides opportunities to develop complementary Data Governance/ethics frameworks. A generalized approach is presented. Learning objectives: - Appreciate the savings that can accrue from transforming data preparation from one-off to an improvable process - Recognize what data preparation knowledge/skills your organization has and/or needs - Better know the transformations that data can survive as it is prepared to be analyzed

Data Preparation Fundamentals

DATAVERSITY

Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.

Microsoft cloud big data strategy

James Serra

Django é um framework para desenvolvimento rápido para web, escrito em Python. Utiliza o padrão MTV (model - template - view). Principais caracteristicas: Mapeamento Objeto-Relacional (ORM) Define a modelagem de dados através de classes em Python. Com isso é possível gerar suas tabelas no banco de dados e manipulá-las sem necessidade de utilizarSQL (o que também é possivel). Interface Administrativa No Django é possivel gerar automaticamente uma interface para administração para os modelos criados através do ORM. Formulários É possível gerar formulários automaticamente através dos modelos de dados. URLs Elegantes No Django não há limitações para criação de URLs elegantes e de maneira simples. - Nada elegante, difícil para o usário e ruim para buscadores: www.meusite.com.br/index.jsp?id=12&nome=ciclano - Elegante, fácil leitura e memorização e ótimo para buscadores: www.meusite.com.br/12/ciclano Sistema de Templates O Django tem uma linguagem de templates poderosa, extensível e amigável. Com ela você pode separar design, conteúdo e código em Python. Internacionalização Django tem total suporte para aplicações multi-idioma, deixando você especificar strings de tradução e fornecendo ganchos para funcionalidades específicas do idioma. Sistema de Cache O Django possui um sistema de cache que se integra ao memcached ou em outros frameworks de cache. Sobre Python O que é Python? Python é uma linguagem de altíssimo nível (VHLL - Very High Level Language) com código fonte aberto. Python é Interpretado ou compilado? Python é executado de forma interpretada via bytecode, ou seja, escrevendo apenas uma vez o código Python podemos executá-lo em qualquer sistema operaciona

Tutorial Django + Python

Mateus Padua

Opérateur booléen

Valerie Manasterski

Commercializing Alternative Data

Databricks

YouTube Link: https://youtu.be/onFobjvGgZI ** Python Certification Training: https://www.edureka.co/python ** This Edureka PPT on 'How Netflix uses Python' is to educate you as to how this media giant makes use of Python for its success. Below are the topics covered in this PPT: Introduction to Netflix How Netflix uses Python? Open Connect Demand Engineering Team Machine Learning Infrastructure Big Data Scientific Experimentation Video Encoding / Media Cloud Engineering Netflix Animation and NVFX IS (Information Security) Monitoring and Auto-Remediation Python Tutorial Playlist: https://goo.gl/WsBpKe Blog Series: http://bit.ly/2sqmP4s Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Castbox: https://castbox.fm/networks/505?country=in

How Netflix uses Python? Edureka

Edureka!

La veille informationnelle

LPLECORBUSIER

Introduction to puppet

Habeeb Rahman

There’s been a shift toward digital business transformation with growing use of a broad spectrum of analytical capabilities (descriptive, diagnostic, predictive, prescriptive) to drive decision-making. Having a framework and overarching strategy for analytics governance is essential for data-driven organizations. Today’s advanced analytics and Business Intelligence (BI) professionals understand driving successful governance is critical for developing consistent, trusted, transparent, and effectively utilized analytics. Join this webinar to learn best practices and vetted approaches for how to: Ensure analytics governance is integrated with existing Data Governance processes, policies, operating model management, and Data Stewardship Adapt governance best practices for different analytics use cases Confirm alignment of your analytics and BI strategy with critical business objectives Balance the rewards of digital technology and applied analytics with the compliance risks of new ethical rules, standards, and regulations

Advanced Analytics Governance - Effective Model Management and Stewardship

DATAVERSITY

Master Data Management

Zahra Mansoori

Introdução a Métodos Ágeis de Desenvolvimento de Software

Daniel Cukier

What's hot (17)

Data Strategy Best Practices

Data Science Applications | Data Science For Beginners | Data Science Trainin...

Atelier n°3 les réseaux sociaux

Business intelligence architecture

Concorrência na Linguagem de Programação

DI&A Slides: Data Insights and Analytics Frameworks

Data Preparation Fundamentals

Microsoft cloud big data strategy

Tutorial Django + Python

Opérateur booléen

Commercializing Alternative Data

How Netflix uses Python? Edureka

La veille informationnelle

Introduction to puppet

Advanced Analytics Governance - Effective Model Management and Stewardship

Master Data Management

Introdução a Métodos Ágeis de Desenvolvimento de Software

Recently uploaded

Presentation on how to chat with PDF using ChatGPT code interpreter

naman860154

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Rafal Los

Scaling API-first – The story of a global engineering organization

Radu Cotescu

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Neo4j

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

Enterprise Knowledge

GenAI Risks & Security Meetup 01052024.pdf

lior mazor

Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

HampshireHUG

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Civil Lines Women Seeking Men

Delhi Call girls

presentation ICT roal in 21st century education

jfdjdjcjdnsjd

Partners Life - Insurer Innovation Award 2024

The Digital Insurer

Histor y of HAM Radio presentation slide

vu2urc

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.

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Earley Information Science

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Miguel Araújo

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

Evaluating the top large language models.pdf

ChristopherTHyatt

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

apidays

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

Recently uploaded (20)

Presentation on how to chat with PDF using ChatGPT code interpreter

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Scaling API-first – The story of a global engineering organization

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

GenAI Risks & Security Meetup 01052024.pdf

IAC 2024 - IA Fast Track to Search Focused AI Solutions

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

08448380779 Call Girls In Civil Lines Women Seeking Men

presentation ICT roal in 21st century education

Partners Life - Insurer Innovation Award 2024

Histor y of HAM Radio presentation slide

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Data Cloud, More than a CDP by Matt Robison

Evaluating the top large language models.pdf

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Axa Assurance Maroc - Insurer Innovation Award 2024

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Artificial Intelligence: Facts and Myths