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SCORM, the xAPI, cmi5, and a host of other learning data standards exist and have widespread acceptance in the learning community. How can these standards extend beyond the learning world into the realm of enterprise technology? What the industry needs now is a distinct and real conversation on how to align learning technology with the technology used by the rest of the enterprise. In this deck, mobile author Chad Udell shows how Float, working with a number of industry and government stakeholders, has charted a path to bring the worlds of enterprise technology infrastructure into sync with learning ecosystems. The learning industry has had some transformation lately with the xAPI, cmi5 and a variety of cloud LMS vendors coming online. Neither of these technology realms currently talk to each other in most organizations. You’ll explore why this is, what problems it causes, and what advances in business could be gained if this issue was solved. In this deck, you will learn: - About the challenges of data interoperability - How to handle the coming data avalanche and its implications for your organization - Where learning and enterprise technology often gap or disconnect - What the next steps in bringing enterprise technology and learning technology integration are

Just-in-time hiring is dead. Organizations that understand how to future-proof their talent acquisition and recruitment marketing strategy will be brand-led, relationship-centric and data-driven. SmashFly's Chris Brablc discusses how to build talent pipelines for today and tomorrow so you can get ahead of the competition by building relationships with candidates earlier in the process.

The document discusses using bots for financial education, specifically the Mr. Finance Bot which is available on Facebook Messenger and provides information via buttons, galleries, text and responses. It targets those at the base of the pyramid for distribution through loan officers and microfinance institutions, and is built using the ChatFuel app builder platform. Contact details are provided for the organization.

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The document discusses entrepreneurship rates and startup activity in the United States. It notes that the rate of new entrepreneurs rose from 280 to 310 per 100,000 adults between 2014 and 2015. Over 530,000 new businesses are started each month. The company's mission is to link untapped technology to problems companies haven't identified yet through innovation and creativity. The document also includes sections on methodology, partnerships, beliefs, brand promises, and using a brand persona like Mark Zuckerberg to represent the company.

Who are your ideal candidates? What are they searching for? Where are they searching from? Get tips and insight from SmashFly's Digital Marketer Joe Brady on SEO for talent acquisition leaders.

A presentation from The Muse, SmashFly and Proactive Talent Strategies covers key best practices of creating and measuring exceptional career sites.

This is full collection of all my past presentations all in one PPT to prove my skills and ability in graphical designs for the presentations and using PowerPoint. I made this PPT to combine all my past works and to send it to my clients as a prior samples. Thanks.

This document provides an overview of global internet usage statistics from 1993 to 2023. It discusses the growth of internet users over the past decade, trends related to globalization, and conclusions. As of 2023, India is projected to have the largest population globally. Major technology manufacturers are increasing production while some highly developed countries are seeing decreasing population growth and internet usage rates. The top five regions by number of internet users are Asia, Europe, North America, South America, and Africa.

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The document discusses statistical methodologies used in data analysis. It references Lorem Ipsum and how two main statistical methodologies are used to summarize data from samples. It also mentions analyzing data using indexes.

The document discusses five pillars for data valuation: predictively spotting new opportunities, innovating in an agile way, demonstrating transparency and trust, providing unique personalized experiences, and always being on and operating in real time. It provides more details on the analytic lifecycle for predictively spotting opportunities, the need for data agility in application development, establishing a data ethic of transparency and trust, using data to provide personalized experiences, and reliably storing data to always be on and operating in real time.

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The document appears to be a presentation template from a company. It contains 31 slides with headings like "Creative Learning", "Our Service", and "Why Creative Learning". Each slide has placeholder text and images that a user could replace with their own content to create a customized presentation. The template provides a consistent formatting and design that the user can build their presentation within.

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Doing conventional innovation is no guarantee of success. New ways of innovating are starting with engineers and ending with business ideas, rather than starting with business people and ending with engineers. To innovate successfully, companies must ask the right questions, know where their market is, how big the opportunity is, where they currently are and where they want to be.

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Democratizing Data – Why Data Mesh ?

The wide-ranging applications of data science across industries. From healthcare to finance, data science drives innovation and efficiency by transforming raw data into actionable insights. Learn how data science enhances decision-making, boosts productivity, and fosters new advancements in technology and business. Explore real-world examples of data science applications today.

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Aurora PostgreSQL에서 가장 일반적인 performance use case 들에 대해 Aurora PostreSQL의 모니터링 Tool들을 통해 어떤게 문제를 식별하고 분석하는지 그리고 이 문제를 해���해나가는 절차와 방법에 대한 Deep Dive입니다.

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LLM powered contract compliance application which uses Advanced RAG method Self-RAG and Knowledge Graph together for the first time. It provides highest accuracy for contract compliance recorded so far for Oil and Gas Industry.

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간단해 보이지만 실제로는 복잡한 몇 가지 Amazon DynamoDB 디자인 퍼즐을 함께 해결하며 DynamoDB가 대규모로 작동하는 방식에 대해 자세��� 알아봅니다. DynamoDB의 작동 방식을 이해함으로써 더 효과적이고 확장 가능한 솔루션을 찾는 방법을 알아보세요.

Amazon Aurora 클러스터를 초당 수백만 건의 쓰기 트랜잭션으로 확장하고 페타바이트 규모의 데이터를 관리할 수 있으며, 사용자 지정 애플리케이션 로직을 생성하거나 여러 데이터베이스를 관리할 필요 없이 Aurora에서 관계형 데이터베이스 워크로드를 단일 Aurora 라이터 인스턴스의 한도 이상으로 확장할 수 있는 Amazon Aurora Limitless Database를 소개합니다.

Airline Satisfaction Project using Azure This presentation is created as a foundation of understanding and comparing data science/machine learning solutions made in Python notebooks locally and on Azure cloud, as a part of Course DP-100 - Designing and Implementing a Data Science Solution on Azure.

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