Geoff Roberts, CEO of Democrata, discusses how music, data, and technology can help companies get closer to consumers. Some key challenges mentioned include not having enough people to manually check all content for errors, which ruins the user experience and results in lost sales. The document advocates using analytics to form strategies, and predicts that in the future, context-aware technology will make people's lives easier by providing more relevant output based on their context through adaptive, self-learning experiences. It is also suggested that some businesses that do not analyze data will fail, while other sectors will undergo large transformations improving efficiency.
Introduction to mapping with Fusion Tables + CartoDB during d|Bootcamp Nairobi 2014. Prepared and presented by Upande team - Mark de Blois, Luchiri, Sammer.
Introduction to mapping with Fusion Tables + CartoDB during d|Bootcamp Nairobi 2014. Prepared and presented by Upande team - Mark de Blois, Luchiri, Sammer.
Workshop: Geert Van Grootel - Implementation of Data Governance in a Multi-in...CASRAI
Using a workshop format, this session will focus on various aspects of data governance in a research information context by using as a case study the implementation of the Data Governance in the Flanders Research Information Space (FRIS).
Hayes Roth, HA Roth Consulting - University of Miami Career Leadership HA Roth Consulting
In this presentation, Hayes Roth, University of Miami class of 72' and principal of HA Roth Consulting, talks about popular (and sometimes, unpopular) leaders and how they've influenced his life and career.
Venture Capital project, in the context of this course we explore venture capital as a social science. Meaning, that it consists of thought leaders, supporters, visionaries and far more than just money. Your assignment is to follow 3 venture capital firms that invest in a technology area you are interested. Within each venture firm, follow 1 portfolio company.
This is our latest updated Ajinomatrix 3 minute Pitch Deck for the Founder Institute - We digitize the senses of smell and taste for the food industry.
This presentation is from Affiliate Summit East 2016 (July 31-August 2, 2016 in New York City, NY). Session description: Three affiliate marketing veterans share 31 of their favorite web apps and tools they use almost daily for social media development, site monitoring, office management, marketing, and content research.
There is 100% chances you are going to engage your customers on mobile first, but converting them into lifetime and faithful promoters is a multi-screen journey. For brands, media and retailers it is then critical to select the most relevant device-agnostic technology and the
Workshop: Geert Van Grootel - Implementation of Data Governance in a Multi-in...CASRAI
Using a workshop format, this session will focus on various aspects of data governance in a research information context by using as a case study the implementation of the Data Governance in the Flanders Research Information Space (FRIS).
Hayes Roth, HA Roth Consulting - University of Miami Career Leadership HA Roth Consulting
In this presentation, Hayes Roth, University of Miami class of 72' and principal of HA Roth Consulting, talks about popular (and sometimes, unpopular) leaders and how they've influenced his life and career.
Venture Capital project, in the context of this course we explore venture capital as a social science. Meaning, that it consists of thought leaders, supporters, visionaries and far more than just money. Your assignment is to follow 3 venture capital firms that invest in a technology area you are interested. Within each venture firm, follow 1 portfolio company.
This is our latest updated Ajinomatrix 3 minute Pitch Deck for the Founder Institute - We digitize the senses of smell and taste for the food industry.
This presentation is from Affiliate Summit East 2016 (July 31-August 2, 2016 in New York City, NY). Session description: Three affiliate marketing veterans share 31 of their favorite web apps and tools they use almost daily for social media development, site monitoring, office management, marketing, and content research.
There is 100% chances you are going to engage your customers on mobile first, but converting them into lifetime and faithful promoters is a multi-screen journey. For brands, media and retailers it is then critical to select the most relevant device-agnostic technology and the
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Also the particular electronic systems sent applications for playing video gaming are called platforms on the list of traders with the world industry. Consumers will see such examples for instance personal personal computers, video video game consoles, plus more. Users regarding videogames should be aware of that programs ranges among big personal computers to more compact handy devices available in the market across the planet.
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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).
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.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
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We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
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Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
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/
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.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
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.
8. • Fully automated
• 24/7
• High volume
• You can’t hire enough people to check the content
• You can fix some using automation
• Even then, you still can’t fix all of the errors
• The labels don’t think it’s their problem
• It ruins the user experience
• Results in loss of sales
• Increase headcount requirements and cost
• Makes it very hard to engage users, you have to work
10 X as hard just to stay afloat.
9.
10. He who loves practice without theory is like the sailor
who boards ship without rudder and compass and never
knows where he may cast.
(Leonardo da Vinci)
Or, you have to have analytics in place in order to form
your strategies.
(Me)
16. 1. Microphone audio
2. Cell Radio location
(100m-10km)
3. Bluetooth location
(10-50m)
4. WiFi location (25-
100m)
5. GPS location (3-
10m)
6. Camera video
7. Light light
8. Accelerometer
motion/force
9. Gyroscope angular
motion
10. Temperature
temperature
11. Pressure altitude
12. Carbon Monoxide
air quality
SENSORS
17. Locations automatically entered into your
calendar.
1. Where is A, B
2. Can you work out how they get from
one to the other?
3. What else do you know from this?
18. 1. Identify a piece of music
2. Identify similar sounding music
3. BPM, Key, Vocalist Gender, Mode, Time sig
DSP
19.
20. 1. Open phone microphone remotely 2. Identify car from engine note
3. I’ve now got a demographic profile….
22. The future?
For People
• Predicting things based on your context.
• Making your life MUCH easier, less input, lots more relevant output.
• Adaptive, self learning experiences & technology.
• More control over the actual value of your data.
• Greater transparency of government and how it operates
For Business
• Predicting outcomes, including revenue, with real accuracy.
• Insight about competitors at prices you can afford and that levels the playing field.
• Lots of companies who sell but don’t analyse data will go to the wall.
• Some sectors will go through massive changes, transforming end to end operations,
improving efficiency, reducing costs and risk. (There will be tears…).
• Greater transparency of how businesses operate (more tears).
The back end systems supporting the lifecycle.
There is no difference in the process when compared to physical SC management, just the technologies you use to build the various functions
However, the digital world has a hugely error prone ecosystem simply because so much of the data is wrong.
The physical world (let’s say a supermarket) simply would not accept this situation, and they don’t. They impose standards on their suppliers to better manage stock and reduce operating costs.
However, global licensing practice means that doesn’t work. Master from US to Germany, data input without the e acute etc
If the data is wrong - you could not build an order picking system that you could trust.
No ‘just in time’
No efficient warehouse storage
No efficient way of stocking the shelves without having scores of people do it.
In fact they are really advanced in this field and it makes a BIG difference.
Now let’s look at what happens in digital music, in the old days a load of CDs would go to the store, and people passionate about music would lovingly classify it and put it in the right place.
As a user, I just made the decision not to use your service. If I don’t know what to search for, I can’t search, so if I can’t browse accurately there’s nothing here for me.
As me, I have to come up with ways of dealing with this (and guess how low on the priority list it is for the business)
(Beenie Man as classical, Mozart as Reggae, you can almost see what happened there as this feed was from the same supplier).
As the search and content management systems development manager, I’m at a loss what to do except come up with ways of hiding this or spend a lot of time cleaning the data and work out ways of doing it in bulk. (answer, cleaning, you can be smart with how you populate the store, just like in real world retail)
Taxonomy is key, as are tools to support the management if it, 200 new genres a week, so spurious it makes you laugh, but you have to map them to your version of the truth.
What people are passionate about doing as their job is not necessarily what needs to be done.
You need experts in the domain and good proprietary and bought in tools
You need business buy in above all else because it will cost money. Make the business case!!
Analytics
you have to have analytics in place and know what questions you want answered before you do it
to do this you need data champion and to educate everyone including (especially) the boss.
By the way, the average american listens to 4 hours of music a day. Probably the same as the UK, and so it’s an activity to watch as it happens more frequently than shopping, travelling, sex, in fact apart from ablutions and sleep its almost the only constant. That’s why understanding how people consume data and what it means is interesting to so many marketers.
You have to have analytics in place and know what questions you want answered before you do it
to do this you need data champion and to educate everyone including (especially) the boss.
And now, with social media, SEO, PPC, it’s about the convergence of old and new architectures. However what’s important is getting it right
Insight tells you where to steer the business
Predictive analytics won’t just tell you what product to show a user next using a recommendations engine, it will help your component buying teams save money.
It helps with fraud prevention (santander man and his 6000 fraud indicators)
Components and precious metals for 100’s of millions of phones
Predicting how much ‘air’ is in the buying process saved this much money alone.
Social means analysing sentiment about the brand or product releases
It turns customer care into a highly responsive relationship when customers complain or contact your @handle
Profile of hardcore dance music listeners (what can we infer?)
Who listens to more wee small hours music than anyone else in europe?
It’s our good friends the swedes, academics go mad when they get hold of our data…
By the way the release date of music pegs your aproximate age, it’s simply how radio programmer s work when they try to attract their target demographic – which is what they HAVE to do under the terms of their broadcast license.
The country of origin of the artists you listen to tells us where you are from.
The mix of artists tells us a lot about your possible gender…
Marketeers typically want age and gender. Job done.
Context/content, fly to Finland get news about strike. Lots of sensors tells me this. GPS, wifi, IP, operator (roaming) so if I go to finland, show me news about the ipending baggage handlers strike at helsinki airport. Ir’s surprising what you can infer…
Guessing game…
Digital signal processing
1. Shazam
2. Recommend me more music (and change the 80/20 rule)
3. Keep me listening to stuff of the same mood and tempo.
But you can do so much more….
Nice car, what sort of people own one?
No, so if we know someone is driving one we have part of their demographic profile
Same applies to other things like locations (although restaurants are hard…)
Quividi – french company
The data is out there, you will be found out. Better to get ahead by preparing for the new era of accountabilty that will be imposed on people by big data and analytics
One word of advice, use professionals, it will pay off.