Corporate Challenge of Big Data
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Corporate Challenge of Big Data
Leverage Big Data for Commercial success
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Three Paths to Advantage with Digital Supply Chains

Three Paths to Advantage with Digital Supply Chains | Corporate Challenge of Big Data | Scoop.it
Some companies are achieving dramatic returns on their digital investments, thanks to much more powerful technologies—and a set of key strategies. Those agile players are building a financial advantage that will be more difficult to overcome with each passing year.
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5 Things You Need To Know About PSD2

5 Things You Need To Know About PSD2 - Payment Services Directive - SEPA Payments info helping corporates navigate payments technology & industry trends
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Quantum algorithms for topological and geometric analysis of data : Nature Communications : Nature Publishing Group

By combining quantum computing and topology -- a branch of geometry -- the new machine-learning algorithm can streamline highly complex problems and put solutions within closer reach.

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Data-Mining Firm Searches for Voters by Combing High School Yearbooks

Data-Mining Firm Searches for Voters by Combing High School Yearbooks | Corporate Challenge of Big Data | Scoop.it

A company working for John Kasich's super-PAC is trying to create a “social graph” of possible supporters by scanning high school yearbooks, small-town newspapers, and sports-team rosters...

As more of these calls—to donors, volunteers, and voters—are completed, Applecart’s statistical models will evolve to reflect refined knowledge about which categories of social connections are most potent at shaping specific types of political behavior. The lure of attending a friend’s fundraiser may open a checkbook, but that same person’s judgment may not be enough to shame someone to the ballot box. “Your best friend or family members,” Samotin muses, “aren’t going to disown you because you don’t vote.” 

 
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What Are the Risks of Legacy Infrastructure?

What Are the Risks of Legacy Infrastructure? | Corporate Challenge of Big Data | Scoop.it
Using legacy infrastructure does more than drive up the costs of maintenance; it also hinders innovation and increases risks related to security.
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5 words of advice on going to cloud, from a very busy federal agency | ZDNet

5 words of advice on going to cloud, from a very busy federal agency | ZDNet | Corporate Challenge of Big Data | Scoop.it
The Financial Industry Regulatory Authority will be all-cloud next year at this time. The agency's technology director explains what it took to migrate.
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Google Turning Its Lucrative Web Search Over to AI Machines

Google Turning Its Lucrative Web Search Over to AI Machines | Corporate Challenge of Big Data | Scoop.it
When Google-parent Alphabet Inc. reported eye-popping earnings last week its executives couldn’t stop talking up the company’s investments in machine learning and artificial intelligence.
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Why Business Leaders are Clueless about Data Integration

Why Business Leaders are Clueless about Data Integration | Corporate Challenge of Big Data | Scoop.it
Is your data integration truly automated? Why business leaders investing in Big Data don't understand data integration
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Artificial intelligence program ConceptNet matches 4-year-old child in IQ test

Artificial intelligence program ConceptNet matches 4-year-old child in IQ test | Corporate Challenge of Big Data | Scoop.it

MIT researchers develop ConceptNet AI system capable of matching intelligence of young child... The results are significant in that they show artificial intelligence can match human intelligence, albeit only up to a certain level. Previously, advances in AI have focussed on creating systems that excel at specific tasks, such as chess or pattern recognition tasks.

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Skytree 15.2 Delivers Integrated Machine Learning to Unstructured Text Data - insideBIGDATA

Skytree 15.2 Delivers Integrated Machine Learning to Unstructured Text Data - insideBIGDATA | Corporate Challenge of Big Data | Scoop.it

Unstructured text data makes up nearly 80 percent of the typical enterprise’s data but presents significant challenges for data scientists, often requiring an inordinate amount of time to structure and prepare data for analysis. Skytree 15.2 simplifies the featurization of text data from sources that include Word, Excel, PowerPoint, PDF, raw text, tweets and Web pages. Machine-learning models can be built with standalone or fused structured and unstructured data. Skytree also delivers an even more secure LDAP authentication capability with SSL for single sign-on.

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IBM’s upcoming blockchain release could change the internet | ExtremeTech

IBM’s upcoming blockchain release could change the internet | ExtremeTech | Corporate Challenge of Big Data | Scoop.it
A new open source software offering from IBM could change the way transactions are handled online -- and that means more than just financial transactions.
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Fujitsu sidesteps data scientists with a move toward tuned machine learning

Fujitsu sidesteps data scientists with a move toward tuned machine learning | Corporate Challenge of Big Data | Scoop.it

The Fujitsu Labs researchers then ran tests using 8 x 12-core servers and a 50 million record dataset. It claims that “existing techniques would take roughly one week to develop a predictive model with 96 per cent accuracy.“

With its preliminary machine learning algorithm selection run, its “technique reached that level in slightly more than two hours.” Going from one week to two hours is one heck of a speed up.

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Get ready for machines that can pay each other.

Get ready for machines that can pay each other. | Corporate Challenge of Big Data | Scoop.it

Imagine a world where commercial agreements are executed by digital smart contracts. Where the contract and payments are actually tied together by mathematical rules of the blockchain.

A commercial term like “Net-30” that obligates a business to pay its invoice in 30 days, could be automatically executed on the day it’s due. Or an agreement to pay on delivery could track that the product actually was received and signed off on as in good order, before payment is released.

Escrow systems, third-party agents, and intermediary networks could be rethought to be far more efficient.

Or perhaps even more exciting is the ability for business-to-business blockchains to enable digital native payment networks that can instantly settle funds directly between parties.

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Inside the Panama Papers: How Cloud Analytics Made It All Possible

Inside the Panama Papers: How Cloud Analytics Made It All Possible | Corporate Challenge of Big Data | Scoop.it

In late 2014, an anonymous person offered to send a German journalist 11.5 million encrypted documents detailing the structure of offshore business entity.


Linkurious is a partner of the International Investigative Journalist Consortium (ICIJ) since the Swiss Leaks scandal. ICIJ network of 370 journalists is using Linkurious to investigate the Panama Papers. Learn the inside story of the biggest data leak investigation in history.

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Fast and Flexible Risk Aggregation on Apache Spark - Cloudera Engineering Blog

Fast and Flexible Risk Aggregation on Apache Spark - Cloudera Engineering Blog | Corporate Challenge of Big Data | Scoop.it
In this guest post, Deenar Toraskar, founder of risk-analytics solution provider Think Reactive and a contributor to Spark, describes why new requirements for agile, self-service, and VaR reporting help make the case for building out new analytic infrastructure on the Apache Hadoop ecosystem.
As described previously in this post, Value at Risk (VaR) is a popular risk measure used for risk management, Read More
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MapR claims world’s first converged data platform with Streams | Business Cloud News

MapR claims world’s first converged data platform with Streams | Business Cloud News | Corporate Challenge of Big Data | Scoop.it

[MapR Streams] can handle billions of messages per second and join clusters from separate data centres across the globe, the tool could be of particular interested to cloud operators, according to Michael Brown, CTO at comScore. “Our system analyses over 65 billion new events a day, and MapR Streams is built to ingest and process these events in real time, opening the doors to a new level of product offerings for our customers,” he said.

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Insights You Werent Expecting from Big Data

Insights You Werent Expecting from Big Data | Corporate Challenge of Big Data | Scoop.it
A major pharmaceutical manufacturer generated millions of dollars in new revenue by combining the latest research with previous research and drug studies, which introduced a new use and market for an existing drug.A global consulting services firm is using an interactive semantic model that can investigate compliance violations by linking to and aggregating various client account activity such as Web logs, email, phone archives, IM messages, and other sources to uncover potential infringements of regulatory requirements as well as internal policy and procedure violations.
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How will mass digitization impact data analytics?

How will mass digitization impact data analytics? | Corporate Challenge of Big Data | Scoop.it

Data management performance will often thrive when policies and processes have been simplified as much as possible, and companies would do well to adjust their strategies when beginning to embrace analytics technology. Data preparation should be handled on the frontend by skilled professionals, which can then flow into the heavier aspects of analysis and insight generation. 

 
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Big data driving earlier cancer diagnosis in England - Press releases - GOV.UK

Big data driving earlier cancer diagnosis in England - Press releases - GOV.UK | Corporate Challenge of Big Data | Scoop.it
A PHE big data project has helped drive a fall in the proportion of cancer patients diagnosed as an emergency.
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Big Data Proving to Be A Real Challenge for Data Scientists

Big Data Proving to Be A Real Challenge for Data Scientists | Corporate Challenge of Big Data | Scoop.it

“The focus on the volume of data hides the real challenge of data analytics today. Only by addressing the challenge of utilizing diverse types of data will we be able to unlock the enormous potential of analytics.” - Marilyn Matz, CEO of Paradigm4. 

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Artificial Intelligence Outperforms Human Data Scientists - IEEE Spectrum

Artificial Intelligence Outperforms Human Data Scientists - IEEE Spectrum | Corporate Challenge of Big Data | Scoop.it

MIT’s “Data Science Machine” software represents a fully automated process capable of building such predictive computer models by identifying relevant features in raw data. Such a tool could make human data scientists even more effective by allowing them to build and test such predictive models in far less time. But it might also help more individuals and companies harness the power of Big Data without the aid of trained data scientists.

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Skills that every data scientist needs in today’s insight economy | The Big Data Hub

Skills that every data scientist needs in today’s insight economy | The Big Data Hub | Corporate Challenge of Big Data | Scoop.it

You don’t need a Ph.D. in statistics to be a data scientist. What you do need are curiosity, intellectual agility, statistical fluency, research stamina, scientific rigor and a skeptical nature. 

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AI for cars could keep drivers safe

AI for cars could keep drivers safe | Corporate Challenge of Big Data | Scoop.it
New research out of Stanford and Cornell points to a future where cars, and perhaps robots, can anticipate what we'll do or want next.
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Spark Reliability and Performance through Monitoring | MapR

Spark Reliability and Performance through Monitoring | MapR | Corporate Challenge of Big Data | Scoop.it
As more organizations begin to deploy Spark in their production clusters, the need for fine-grained monitoring tools becomes paramount.
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Google's Data Architecture and What it Takes to Work at Scale - The New Stack

Google's Data Architecture and What it Takes to Work at Scale - The New Stack | Corporate Challenge of Big Data | Scoop.it
In his presentation, “What does it take to make Google work at scale?” Schwarzkopf discusses the architecture behind those 139 microseconds between submitting a search request in the Google input bar, and the pages of ads-and-search results that are returned.
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