Beech Sawmill Qualibeech: European Beech Sawmill specialized in beech planks, beech squares and beech profiles, all in natural and homogeneous white colour. Beech wood elements agree of highest quality standards, certified by PEFC
4 Easy Steps on how to Super Charge your Contact Center, EiG 2011 Milano KeynoteJoakim Nilsson
4 steps how to super charge your contact center is an introduction to the theory of social media monitoring.
Joakim Nilsson, Betclic Everest at EiG Milano 2011.
Agile Data Science is a lean methodology that is adopted from Agile Software Development. At the core it centers around people, interactions, and building minimally viable products to ship fast and often to solicit customer feedback. In this presentation, I describe how this work was done in the past with examples. Get started today with our help by visiting http://www.alpinenow.com
Predictive Analytics: An Executive PrimerRyan Withop
An Executive Overview of what Predictive Analytics is and where it can benefit SaaS businesses, with concrete examples of how we actually used these techniques at YouSendIt. Very handy set I've used to introduce new C-level Execs to optimizing their business based on actionable analytics.
cliniTRUST- Stefanini Digital Data Flow Solution -TransCelerateNagesh Jadhav
Stefanini Life sciences mission is to co-innovate, co-create such solutions to enable life sciences organizations deliver discover, develop and deliver medicines, care to patients faster. With our experience in Clinical AI and Automation we co-innovated and co-created cliniTRUST a robust DDF automation platform enabling interoperability, reducing cycle times, increasing efficiency, data quality and compliance.
Are you looking to manage your brand reputation online? News monitoring is the process of extracting references to your brand from mainstream media. News sentiment analysis takes those mentions and scores them for positive or negative sentiment. This allows you to understand how the public feels about your company.
Text sentiment analysis is crucial in a brand’s lifecycle. Consider for a moment how many mentions or discussions there are about a company’s product or customer service on social media platforms, news feeds, news articles, review sites, and forums. In addition, businesses also gather enormous big data in intra-organizational and external emails, product marketing collaterals, PR content, presentations, videos, and more.
Beech Sawmill Qualibeech: European Beech Sawmill specialized in beech planks, beech squares and beech profiles, all in natural and homogeneous white colour. Beech wood elements agree of highest quality standards, certified by PEFC
4 Easy Steps on how to Super Charge your Contact Center, EiG 2011 Milano KeynoteJoakim Nilsson
4 steps how to super charge your contact center is an introduction to the theory of social media monitoring.
Joakim Nilsson, Betclic Everest at EiG Milano 2011.
Agile Data Science is a lean methodology that is adopted from Agile Software Development. At the core it centers around people, interactions, and building minimally viable products to ship fast and often to solicit customer feedback. In this presentation, I describe how this work was done in the past with examples. Get started today with our help by visiting http://www.alpinenow.com
Predictive Analytics: An Executive PrimerRyan Withop
An Executive Overview of what Predictive Analytics is and where it can benefit SaaS businesses, with concrete examples of how we actually used these techniques at YouSendIt. Very handy set I've used to introduce new C-level Execs to optimizing their business based on actionable analytics.
cliniTRUST- Stefanini Digital Data Flow Solution -TransCelerateNagesh Jadhav
Stefanini Life sciences mission is to co-innovate, co-create such solutions to enable life sciences organizations deliver discover, develop and deliver medicines, care to patients faster. With our experience in Clinical AI and Automation we co-innovated and co-created cliniTRUST a robust DDF automation platform enabling interoperability, reducing cycle times, increasing efficiency, data quality and compliance.
Are you looking to manage your brand reputation online? News monitoring is the process of extracting references to your brand from mainstream media. News sentiment analysis takes those mentions and scores them for positive or negative sentiment. This allows you to understand how the public feels about your company.
Text sentiment analysis is crucial in a brand’s lifecycle. Consider for a moment how many mentions or discussions there are about a company’s product or customer service on social media platforms, news feeds, news articles, review sites, and forums. In addition, businesses also gather enormous big data in intra-organizational and external emails, product marketing collaterals, PR content, presentations, videos, and more.
A brief introduction to DataScience with explaining of the concepts, algorithms, machine learning, supervised and unsupervised learning, clustering, statistics, data preprocessing, real-world applications etc.
It's part of a Data Science Corner Campaign where I will be discussing the fundamentals of DataScience, AIML, Statistics etc.
Innovative "Pharma-Marketing 2.0" concept is dedicated for pharma companies that want to transform their activities from offline to online. Objective of this concept is to reduce the cost of increasing the share of voice among potential target audience.
The Future of AI in Digital Marketing Transforming Customer Experiences.pdfAdsy
Can AI help marketers understand users better?
That's what we want to figure out in this presentation.
Firstly, let's see how AI can help with personalization. Also, let's see how artificial intelligence can help with user engagement.
Sure thing, we will talk about ethical concerns regarding AI.
But overall, you need to know that more and more companies use AI in their daily activities.
Earley Executive Roundtable for May 2016. Topic: Predictive Analytics, AI and the Promise of Personalization. Panelists are Seth Earley, EIS; Julie Penzott, Amplero; Adam Pease, Articulate Software. Host: Dino Eliopulos, EIS
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).
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.
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.
2. Problem
Analytics at the moment statistical methods
Answer to the question "What is happening?"
but not to the question, "Why is it happening?"
InFortis.net
No answer to "Why is it happening?"
resource owner
can’t control the process on his own resource
3. Solution
InFortis Analytics answers «Why is it happening?»
for you.
Qualitative rather than a quantitative analysis of
information resources’ visitors and content.
What is the user looking for on the site?
Can he get what he’s looking for?
Why did someone stay or go?
What can you do for user to stay?
InFortis.net
4. InFortis Analytics
The unique technology developed by qualified psychologists
InFortis.net
User activity on
the Internet
Model of
user’s psyche
InFortis psychological
analysis
Social and psychological characteristics
Map of user's needs
Ways of needs gratification
5. What does InFortis client get
1. Quality analytics of resource’s content and audience:
who are the resource’s users,
what do they want,
what content is in demand,
what kind of audience is looking for this content in the
internet
2. Personal recommendations service:
what content should be given to a specific user, for him to
visit this resource regularly.
InFortis.net
6. Our advantages
High accuracy of the recommendations: 80%
accuracy (4 of 5 articles) - unattainable level for
solutions on the market.
Comprehensive analysis of the audience:
more than 400 high-quality user characteristics.
High accuracy of the analysis: the accuracy
of gender determination is higher than 90%.
InFortis.net
7. Business model
Ready-to-use B2B product
1. Monthly payments from the client-service
(subscription).
2. Share (10-15%) of the revenue gain due to the
use of InFortis system.
3. Free provision of services (implies the transfer
of customer data (cookies or logs) to InFortis).
InFortis.net
8. Marketing and sales
Target audience for our product is
US owners of information resources (news or
media) of medium and large size
InFortis.net
9. Team
Our product is made under the watchful eye of
tireless and hard working team of 8 people:
psychologists and programmers
InFortis.net
10. What do we have
Software solution, ready to be installed on
the resource.
Excellent results of product testing on
American resource.
Preliminary agreements with potential
customers in the United States.
InFortis.net
11. Our goals for the next 12 months
To create an API for connecting any English-language
InFortis.net
resource to the process unit
To promote the product implementation
To connect with 3 medium information
resources
To reach the break-even basis
12. Summary
What do we need:
1. The contacts with potential clients – the
owners of Internet resources.
2. Funds required (costs for the 12 months) -
800 thousand US dollars.
InFortis.net