To understand the importance of big data, one needs to understand the basic and the relevance of Data in today's world. This is the first of a series of Big Data presentations we want to share with our clients and community.
Top 20 Quotes That Define Content Marketing by Lever & Punch Teewee Ang
Content marketing is key to leading conversations with your clients. This presentation lists the Top 20 Quotes that define and help you understand the key essence of Content Marketing.
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.
Annalect EMEA CEO Jon Ghazi's presentation on data-driven marketing at The CMO Transformation Workshop, which was hosted by Annalect Finland, TBWA\Helsinki and Google in 19.1.2017.
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...Mintigo1
To view the full webinar, please visit:
http://www.mintigo.com/how-to-be-a-data-driven-marketing-powerhouse-with-predictive-analytics-big-data/
Description:
How is it that b-to-b marketers have more data sources than ever before, but many are still in the dark about how to reach more of the right prospects? Sometimes the sheer volume of data can seem overwhelming, but it doesn’t have to be. In fact, with the right processes, skills and tools, many companies are transforming their approach to demand creation and letting data do the work for them.
Marketers need to make decisions in a data-rich environment, where vast amounts of customer data are flowing not only from the company’s internal systems such as CRM, marketing automation and web analytics, but also from external sources such as social, mobile, and other sources that can be found all over the web. But how do you separate the good data that signify buying signals from the noise found in the rest of the data? And what new skills and processes bring them to life?
In this dynamic session, we’ll hear from thought leaders from LinkedIn, SiriusDecisions and Mintigo on the best strategies for taking a data-driven approach to marketing. They will address key considerations and best practices to answer essential questions around:
-How the explosion of big data and emerging predictive technologies is transforming the marketing discipline
-Examples of marketers at leading companies are effectively utilizing big data & predictive analytics
-Recommendations for preparing your marketing team to become a data-driven organization
The Speakers:
- Russ Glass, Head of Products at LinkedIn
- Megan Heuer, VP & Group Director, Data-Driven Marketing at SiriusDecisions
- John Bara, President & CMO at Mintigo
The Value of Mining (Big) Data - Data-Driven Marketing ConferenceMatthew Quint
It was a pleasure to kick-off Marketing Magazine's Data-Driven Marketing Conference (August 2013).
These are the slides from my presentation in which I talk about the the key challenges of "big data" and present both academic and brand-based case studies on how data, bigger data, and BIG data can:
1. Drive brand and consumer insights
2. Evaluate if marketing messages are working
3. Better target marketing communications efforts
4. Become a company asset to market
5. Allow for continued experimentation
Vortrag bei der Corporate Publishing Konferenz am 04. Juli 2016 in München. Big Data Analytics, KPIs, Monitoring – Über Test & Learn zu besserem Content: Wie Sie messen und analysieren, was wirklich erfolgreich ist
Top 20 Quotes That Define Content Marketing by Lever & Punch Teewee Ang
Content marketing is key to leading conversations with your clients. This presentation lists the Top 20 Quotes that define and help you understand the key essence of Content Marketing.
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.
Annalect EMEA CEO Jon Ghazi's presentation on data-driven marketing at The CMO Transformation Workshop, which was hosted by Annalect Finland, TBWA\Helsinki and Google in 19.1.2017.
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...Mintigo1
To view the full webinar, please visit:
http://www.mintigo.com/how-to-be-a-data-driven-marketing-powerhouse-with-predictive-analytics-big-data/
Description:
How is it that b-to-b marketers have more data sources than ever before, but many are still in the dark about how to reach more of the right prospects? Sometimes the sheer volume of data can seem overwhelming, but it doesn’t have to be. In fact, with the right processes, skills and tools, many companies are transforming their approach to demand creation and letting data do the work for them.
Marketers need to make decisions in a data-rich environment, where vast amounts of customer data are flowing not only from the company’s internal systems such as CRM, marketing automation and web analytics, but also from external sources such as social, mobile, and other sources that can be found all over the web. But how do you separate the good data that signify buying signals from the noise found in the rest of the data? And what new skills and processes bring them to life?
In this dynamic session, we’ll hear from thought leaders from LinkedIn, SiriusDecisions and Mintigo on the best strategies for taking a data-driven approach to marketing. They will address key considerations and best practices to answer essential questions around:
-How the explosion of big data and emerging predictive technologies is transforming the marketing discipline
-Examples of marketers at leading companies are effectively utilizing big data & predictive analytics
-Recommendations for preparing your marketing team to become a data-driven organization
The Speakers:
- Russ Glass, Head of Products at LinkedIn
- Megan Heuer, VP & Group Director, Data-Driven Marketing at SiriusDecisions
- John Bara, President & CMO at Mintigo
The Value of Mining (Big) Data - Data-Driven Marketing ConferenceMatthew Quint
It was a pleasure to kick-off Marketing Magazine's Data-Driven Marketing Conference (August 2013).
These are the slides from my presentation in which I talk about the the key challenges of "big data" and present both academic and brand-based case studies on how data, bigger data, and BIG data can:
1. Drive brand and consumer insights
2. Evaluate if marketing messages are working
3. Better target marketing communications efforts
4. Become a company asset to market
5. Allow for continued experimentation
Vortrag bei der Corporate Publishing Konferenz am 04. Juli 2016 in München. Big Data Analytics, KPIs, Monitoring – Über Test & Learn zu besserem Content: Wie Sie messen und analysieren, was wirklich erfolgreich ist
Advanced Targeting Techniques to Drive More App InstallsInMobi
In a sea of potential users, how do you find the most valuable users for your app? Traditionally, developers have targeted users through standard targeting techniques such as demography, location, carrier, device, etc while promoting their apps on an ad network.
However, there are several new age targeting techniques that leverage the power of big data and allow developers to reach the right audience for their apps in smarter ways.
Click here to view a recording of the webinar: https://vimeo.com/79282931
The new main trends of the Digital Marketing are reconceiving the standards ok digital marketing management for the omnichannel (ecommerce and boutique) business with a key role of performance driven acquisition methods (PB, audience management, CRM DMP), the Experience personalization and conversion optimization
Webinar impartido por Jose Moro Melón para PMI Madrid dobre como transformar ideas en proyectos de forma ágil. En este webinar se abordaron temas como la creatividad para la generación de ideas, Lean Startup, Design Thinking, Modelos de Negocio y se dio a conocer por primera ver la plataforma ideas4projects para la transformación de ideas en proyectos de forma colaborativa
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Advanced Targeting Techniques to Drive More App InstallsInMobi
In a sea of potential users, how do you find the most valuable users for your app? Traditionally, developers have targeted users through standard targeting techniques such as demography, location, carrier, device, etc while promoting their apps on an ad network.
However, there are several new age targeting techniques that leverage the power of big data and allow developers to reach the right audience for their apps in smarter ways.
Click here to view a recording of the webinar: https://vimeo.com/79282931
The new main trends of the Digital Marketing are reconceiving the standards ok digital marketing management for the omnichannel (ecommerce and boutique) business with a key role of performance driven acquisition methods (PB, audience management, CRM DMP), the Experience personalization and conversion optimization
Webinar impartido por Jose Moro Melón para PMI Madrid dobre como transformar ideas en proyectos de forma ágil. En este webinar se abordaron temas como la creatividad para la generación de ideas, Lean Startup, Design Thinking, Modelos de Negocio y se dio a conocer por primera ver la plataforma ideas4projects para la transformación de ideas en proyectos de forma colaborativa
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit 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).