Data & AI Session @ RBS

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This document outlines an agenda for a data and AI session at Royal Bank of Scotland. The agenda includes an introduction to the presenter and their background in data and AI. It then covers key definitions and terminologies in data and AI, different types of machine learning, and the typical lifecycle of a data and AI project. The agenda concludes by discussing industry applications of data and AI and providing advice on getting started in a career in data and AI.

by ankitrathi.com
Data & AI Session
@ Royal Bank of Scotland

Agenda
Data & AI Session @ RBS
→ About Me
→ An Interesting Story
→ Importance of Data & AI
→ Few Definitions
→ Various Terminologies
→ Interdisciplinary Field
→ Types of Machine Learning
→ From AI to Deep Learning
→ Typical Data & AI Lifecycle
→ Industry Applications
→ Getting into Data & AI

About Me
Data & AI Session @ RBS
ankitrathi.com/blog --→

What I used to do…
Data & AI Session @ RBS

Triggering Point
Data & AI Session @ RBS

What I do these days…
Data & AI Session @ RBS
• Data & AI Architect
• Infusing intelligence in products
• Identifying new use cases
• Building quick prototypes
• Guiding delivery teams
• Experimenting latest tech-stack
• Blogging & writing books
• Podcasts & YouTube
• Seminars & workshops
• Advisory to several start-ups
At Work Otherwise

Various Terminologies
Data & AI Session @ RBS

Interdisciplinary Field
Data & AI Session @ RBS

Types of Machine Learning
Data & AI Session @ RBS

From AI To Deep Learning
Data & AI Session @ RBS

Typical Data & AI Lifecycle
Data & AI Session @ RBS

Industry Applications
Data & AI Session @ RBS

Getting Into Data & AI
Data & AI Session @ RBS
Navigate
Build
Launch
Excel

Understanding The Big Picture
Data & AI Session @ RBS
Understanding
the Big Picture
Navigating the
Landscape
End-to-end AI
Project
Working on
Building Blocks
Utilizing the
Resources
Building your
Portfolio
Networking &
Landing the Job
Switching to an
AI Role
Leading AI
Initiatives
Making Career
Future-Proof
Navigate Build
LaunchExcel

Navigate (India)
(Outside)
(ebook)
ankitrathi.com/store

Navigate
Untitled Book
Coming Soon…
ankitrathi.com/blog

Navigate
Connect/Follow Me
Data & AI Session @ RBS

When approached with a question, librarians create context for understanding using communication skills and their ability to navigate available resources. IAs can do a similar thing for co-workers inside an organization. Using my ongoing experience in Special Projects, we’ll look at how IA tools, processes, and thinking can be used to solve support and maintenance issues in an organization. I’ve worked with people in different product groups and roles, including those with direct customer interaction, developers, testers, and various levels of management. I’ve helped them see connections between existing products and technologies, design a complex future product as part of a “task force”, and generally answer (and be able to ask!) all sorts of questions. Along the way, I’ve discovered and added various tools to my bag of tricks. We’ll take a look at these unexpected tools and how they can be used to explore certain types of information problems.

The Briefing Room with Dr. Robin Bloor and Cirro Live Webcast on February 11, 2014 Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=0ec1fa381886313cc06d841015c65898 As information ecosystems continue to expand, businesses are searching for ways to combine traditional analytics with a new source of insight: Big Data. But with data flooding in from all kinds of sources, fast access and performance at scale can easily become an issue. One effective approach for solving this challenge is data federation, a method that involves taking the analytical processing to the data, allowing streamlined access to multiple data sources without the expensive ETL overhead or building of semantic layers. Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains how the prevalence of distributed data calls for a new approach to Big Data. He will be briefed by Mark Theissen of Cirro, who will tout his company’s Data Hub, a data federation solution that provides a single point of access to all enterprise data assets without excessive data movements, preprocessing or staging. He will discuss how data federation differs from virtualization and ETL approaches, and demonstrate how a Cirro deployment solves the analytics challenge of integrating data silos across the data center – and the cloud – using the BI tools you already have on your desktop for real-time distributed analytics. Visit InsideAnlaysis.com for more information.

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原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样

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Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...

Subhajit Sahu

Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.

Analysis insight about a Flyball dog competition team's performance

roli9797

一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理

dwreak4tg

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Adjusting primitives for graph : SHORT REPORT / NOTES

Subhajit Sahu

Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is Multiply with different modes (map) 1. Performance of sequential execution based vs OpenMP based vector multiply. 2. Comparing various launch configs for CUDA based vector multiply. Sum with different storage types (reduce) 1. Performance of vector element sum using float vs bfloat16 as the storage type. Sum with different modes (reduce) 1. Performance of sequential execution based vs OpenMP based vector element sum. 2. Performance of memcpy vs in-place based CUDA based vector element sum. 3. Comparing various launch configs for CUDA based vector element sum (memcpy). 4. Comparing various launch configs for CUDA based vector element sum (in-place). Sum with in-place strategies of CUDA mode (reduce) 1. Comparing various launch configs for CUDA based vector element sum (in-place).

Influence of Marketing Strategy and Market Competition on Business Plan

jerlynmaetalle

Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...

John Andrews

SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation" Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults Description: Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project. Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas

Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf

Enterprise Wired

06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...

Timothy Spann

06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI Discussion on Vector Databases, Unstructured Data and AI https://www.meetup.com/unstructured-data-meetup-new-york/ This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.

一比一原版(UniSA毕业证书)南澳大学毕业证如何办理

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原版定制【微信:41543339】【(UniSA毕业证书)南澳大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】

NABLAS株式会社

一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理

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一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理

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Data & AI Session @ RBS

1. by ankitrathi.com Data & AI Session @ Royal Bank of Scotland

2. Agenda Data & AI Session @ RBS → About Me → An Interesting Story → Importance of Data & AI → Few Definitions → Various Terminologies → Interdisciplinary Field → Types of Machine Learning → From AI to Deep Learning → Typical Data & AI Lifecycle → Industry Applications → Getting into Data & AI

3. About Me Data & AI Session @ RBS ankitrathi.com/blog --→

4. What I used to do… Data & AI Session @ RBS

5. Triggering Point Data & AI Session @ RBS

6. What I do these days… Data & AI Session @ RBS • Data & AI Architect • Infusing intelligence in products • Identifying new use cases • Building quick prototypes • Guiding delivery teams • Experimenting latest tech-stack • Blogging & writing books • Podcasts & YouTube • Seminars & workshops • Advisory to several start-ups At Work Otherwise

7. Why Data & AI? Data & AI Session @ RBS

8. Few Definitions Data & AI Session @ RBS

9. Various Terminologies Data & AI Session @ RBS

10. Interdisciplinary Field Data & AI Session @ RBS

11. Types of Machine Learning Data & AI Session @ RBS

12. From AI To Deep Learning Data & AI Session @ RBS

13. Typical Data & AI Lifecycle Data & AI Session @ RBS

14. Industry Applications Data & AI Session @ RBS

15. Getting Into Data & AI Data & AI Session @ RBS Navigate Build Launch Excel

16. Understanding The Big Picture Data & AI Session @ RBS Understanding the Big Picture Navigating the Landscape End-to-end AI Project Working on Building Blocks Utilizing the Resources Building your Portfolio Networking & Landing the Job Switching to an AI Role Leading AI Initiatives Making Career Future-Proof Navigate Build LaunchExcel

17. Navigate (India) (Outside) (ebook) ankitrathi.com/store

18. Navigate Untitled Book Coming Soon… ankitrathi.com/blog

19. Navigate Connect/Follow Me Data & AI Session @ RBS

20. Navigate Questions…?

21. Navigate Thank You

Data & AI Session @ RBS

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