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Graph Databases: The Next Generation of Fraud Detection Technology

graph database Graph Databases: The Next Generation of Fraud Detection Technology

This is a follow-up blog post in our Graph Database series. Learn what a graph database is and why it’s important here.

Today’s approach to fraud detection: Discrete Analysis

With its terrific ability to enable users to spot patterns quickly and easily, graph database has wide implications for use in a number of industries including fraud detection. Fraud accounts for billions of dollars lost per year and it seems each year, fraudsters get more sophisticated in outsmarting the banks. Unfortunately, the most common attribute of fraud is misdirection and burying their patterns in lots of data.  With traditional data storage techniques, it really isn’t possible to see beyond individual points to the connections between them. That sort of heightened, overarching pattern-like view has now become more feasible with graph database. The connected data view in graph database can more easily uncover these larger complex patterns and make fraud evasion harder. To understand how useful an addition graph database can be in detecting fraud, it’s best to first understand Gartner’s layered approach to fraud detection.

Gartner analysts say “No single layer of fraud prevention or authentication is enough to keep determined fraudsters out of enterprise systems.” They say that you need a combination of monitoring and controls to combat fraud. Therefore, they recommend following the 5 layered fraud prevention approach. This approach recommends that companies use all five layers, ranging from the most basic of security measures (secure browsing) to the most complex (analysis of relationships), and encourages companies to face the fact that some determined fraudsters will break through the first few layers of security. Because some will make it in.

Most of today’s available fraud prevention solutions only address the first four layers of Gartner’s recommended approach. For instance, banks mainly use transaction monitoring systems (TMS) which rely on relational databases. Due to their linear, discrete analysis approach, most of today’s solutions can usually only spot trends and incidents after they’ve happened and only a limited basis.

While the discrete approach is an easy one that helps users spot patterns and capture fraudsters acting alone, it doesn’t necessarily detect patterns between all the different data endpoints and therefore, is not very useful in detecting elaborate crime rings. Further, modern fraud rings have become very familiar with the ways of discrete data analysis and know how to avoid detection with this approach. This leads us to the next frontier of fraud detection which revolves around connected analysis.

Tomorrow’s approach to fraud detection: Connected Analysis

This is where graph database can really add value. Graph database addresses Gartner’s fifth layer of fraud prevention: entity link analysis. Graph database enables banks to look beyond the individual data points of discrete analysis to the connections that link them. With graph database, banks can see their data in “graphs” and more easily visualize patterns and opportunities to better predict when and where fraud might occur.

Another important trait that makes graph database a value add to any fraud prevention solution is its inherent speed in calculating relationships. Since the relationships in graph database are treated with as much value as the database records themselves, the engine that navigates the connections between nodes can do so efficiently, enabling millions of connections per second. Graph database enables quick extraction of new insight from large and complex databases to help uncover unknown interactions and relationships. This means that with a graph database, banks can process data and compute risks quicker than today’s current relational databases so they can spot opportunities and threats before the competition.

According to Forbes, graph database reduces false positives, improve false negative detection, ease investigations, and reduce overall fraud investigation costs. Fundamentally, fraud detection depends on the ability to analyze the relationships between customers and transactions, and recognize patterns or trends. All at the speed of today’s transactions. Graph database provides the speed and the ability to detect large patterns making it the ideal addition to any fraud prevention solution.

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The TIBCO Blog

How Big Data Can Tell You Which Book To Read Next

273205 273205 l srgb s gl How Big Data Can Tell You Which Book To Read Next

Let me start with a quote from McKinsey, that in my view hits the nail right on the head:

“No matter what the context, there’s a strong possibility that blockchain will affect your business. The very big question is when.”

Now, in the industries that I cover in my role as general manager and innovation lead for travel and transportation/cargo, engineering, construction and operations, professional services, and media, I engage with many different digital leaders on a regular basis. We are having visionary conversations about the impact of digital technologies and digital transformation on business models and business processes and the way companies address them. Many topics are at different stages of the hype cycle, but the one that definitely stands out is blockchain as a new enabling technology in the enterprise space.

Just a few weeks ago, a customer said to me: “My board is all about blockchain, but I don’t get what the excitement is about – isn’t this just about Bitcoin and a cryptocurrency?”

I can totally understand his confusion. I’ve been talking to many blockchain experts who know that it will have a big impact on many industries and the related business communities. But even they are uncertain about the where, how, and when, and about the strategy on how to deal with it. The reason is that we often look at it from a technology point of view. This is a common mistake, as the starting point should be the business problem and the business issue or process that you want to solve or create.

In my many interactions with Torsten Zube, vice president and blockchain lead at the SAP Innovation Center Network (ICN) in Potsdam, Germany, he has made it very clear that it’s mandatory to “start by identifying the real business problem and then … figure out how blockchain can add value.” This is the right approach.

What we really need to do is provide guidance for our customers to enable them to bring this into the context of their business in order to understand and define valuable use cases for blockchain. We need to use design thinking or other creative strategies to identify the relevant fields for a particular company. We must work with our customers and review their processes and business models to determine which key blockchain aspects, such as provenance and trust, are crucial elements in their industry. This way, we can identify use cases in which blockchain will benefit their business and make their company more successful.

My highly regarded colleague Ulrich Scholl, who is responsible for externalizing the latest industry innovations, especially blockchain, in our SAP Industries organization, recently said: “These kinds of use cases are often not evident, as blockchain capabilities sometimes provide minor but crucial elements when used in combination with other enabling technologies such as IoT and machine learning.” In one recent and very interesting customer case from the autonomous province of South Tyrol, Italy, blockchain was one of various cloud platform services required to make this scenario happen.

How to identify “blockchainable” processes and business topics (value drivers)

To understand the true value and impact of blockchain, we need to keep in mind that a verified transaction can involve any kind of digital asset such as cryptocurrency, contracts, and records (for instance, assets can be tangible equipment or digital media). While blockchain can be used for many different scenarios, some don’t need blockchain technology because they could be handled by a simple ledger, managed and owned by the company, or have such a large volume of data that a distributed ledger cannot support it. Blockchain would not the right solution for these scenarios.

Here are some common factors that can help identify potential blockchain use cases:

  • Multiparty collaboration: Are many different parties, and not just one, involved in the process or scenario, but one party dominates everything? For example, a company with many parties in the ecosystem that are all connected to it but not in a network or more decentralized structure.
  • Process optimization: Will blockchain massively improve a process that today is performed manually, involves multiple parties, needs to be digitized, and is very cumbersome to manage or be part of?
  • Transparency and auditability: Is it important to offer each party transparency (e.g., on the origin, delivery, geolocation, and hand-overs) and auditable steps? (e.g., How can I be sure that the wine in my bottle really is from Bordeaux?)
  • Risk and fraud minimization: Does it help (or is there a need) to minimize risk and fraud for each party, or at least for most of them in the chain? (e.g., A company might want to know if its goods have suffered any shocks in transit or whether the predefined route was not followed.)

Connecting blockchain with the Internet of Things

This is where blockchain’s value can be increased and automated. Just think about a blockchain that is not just maintained or simply added by a human, but automatically acquires different signals from sensors, such as geolocation, temperature, shock, usage hours, alerts, etc. One that knows when a payment or any kind of money transfer has been made, a delivery has been received or arrived at its destination, or a digital asset has been downloaded from the Internet. The relevant automated actions or signals are then recorded in the distributed ledger/blockchain.

Of course, given the massive amount of data that is created by those sensors, automated signals, and data streams, it is imperative that only the very few pieces of data coming from a signal that are relevant for a specific business process or transaction be stored in a blockchain. By recording non-relevant data in a blockchain, we would soon hit data size and performance issues.

Ideas to ignite thinking in specific industries

  • The digital, “blockchained” physical asset (asset lifecycle management): No matter whether you build, use, or maintain an asset, such as a machine, a piece of equipment, a turbine, or a whole aircraft, a blockchain transaction (genesis block) can be created when the asset is created. The blockchain will contain all the contracts and information for the asset as a whole and its parts. In this scenario, an entry is made in the blockchain every time an asset is: sold; maintained by the producer or owner’s maintenance team; audited by a third-party auditor; has malfunctioning parts; sends or receives information from sensors; meets specific thresholds; has spare parts built in; requires a change to the purpose or the capability of the assets due to age or usage duration; receives (or doesn’t receive) payments; etc.
  • The delivery chain, bill of lading: In today’s world, shipping freight from A to B involves lots of manual steps. For example, a carrier receives a booking from a shipper or forwarder, confirms it, and, before the document cut-off time, receives the shipping instructions describing the content and how the master bill of lading should be created. The carrier creates the original bill of lading and hands it over to the ordering party (the current owner of the cargo). Today, that original paper-based bill of lading is required for the freight (the container) to be picked up at the destination (the port of discharge). Imagine if we could do this as a blockchain transaction and by forwarding a PDF by email. There would be one transaction at the beginning, when the shipping carrier creates the bill of lading. Then there would be look-ups, e.g., by the import and release processing clerk of the shipper at the port of discharge and the new owner of the cargo at the destination. Then another transaction could document that the container had been handed over.

The future

I personally believe in the massive transformative power of blockchain, even though we are just at the very beginning. This transformation will be achieved by looking at larger networks with many participants that all have a nearly equal part in a process. Today, many blockchain ideas still have a more centralistic approach, in which one company has a more prominent role than the (many) others and often is “managing” this blockchain/distributed ledger-supported process/approach.

But think about the delivery scenario today, where goods are shipped from one door or company to another door or company, across many parties in the delivery chain: from the shipper/producer via the third-party logistics service provider and/or freight forwarder; to the companies doing the actual transport, like vessels, trucks, aircraft, trains, cars, ferries, and so on; to the final destination/receiver. And all of this happens across many countries, many borders, many handovers, customs, etc., and involves a lot of paperwork, across all constituents.

“Blockchaining” this will be truly transformational. But it will need all constituents in the process or network to participate, even if they have different interests, and to agree on basic principles and an approach.

As Torsten Zube put it, I am not a “blockchain extremist” nor a denier that believes this is just a hype, but a realist open to embracing a new technology in order to change our processes for our collective benefit.

Turn insight into action, make better decisions, and transform your business. Learn how.


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Digitalist Magazine

Microsoft Flow is coming to the next release of Dynamics 365

CRM Blog Microsoft Flow is coming to the next release of Dynamics 365

There’s a lot of new and exciting functionality coming to the next version of Dynamics 365. One of my favorites is Microsoft’s commitment to incorporate Flow directly into Dynamics 365. This gives you the ability to create integrations from within Dynamics 365 without ever having to leave the user interface!

What is Microsoft Flow?

Microsoft Flow is an app that allows you to automate your workflows. You can utilize it to build solutions that automate process from Dynamics 365 to disparate apps and services. It can also streamline notifications and sync data between systems. Check out how I utilized Flow to connect Twitter and Microsoft Dynamics 365. 

Microsoft Flow vs. Dynamics 365 Processes

Both Microsoft Flow and Dynamics 365 processes are very similar in nature for a couple reasons. First, they are triggered by a data change in Dynamics 365. Second, they can drive automation of data transfer both inside and outside of Dynamics 365. If they are so similar, then how do you pick the right technology for your task?

Dynamics 365 processes have been around since the inception of the product, and were fully incorporated into the user interface way back in version 4. You should continue to use this for all of your automation, especially when you are augmenting data in Dynamics 365.

If you want to build an integration to another system, and there is a supported connection available, then give Microsoft Flow a chance. If you are not a developer, this is the path of least resistance to build an integration.

Microsoft Flow is here to stay

Even though Microsoft Flow is new to Dynamics 365, Microsoft has been heavily investing into this technology for years. Their goal is to make integrations painless, and expand the platform that was once exclusive to developers. Experience it now, because my prediction is that Dynamics 365 processes and Microsoft Flow will soon be melded into one super workflow engine.

Beringer Technology Group, a leading Microsoft Gold Certified Partner specializing in Microsoft Dynamics 365 and CRM for Distribution. We also provide expert Managed IT ServicesBackup and Disaster RecoveryCloud Based Computing and Unified Communication Systems.

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CRM Software Blog | Dynamics 365

“The Person Next To Me Will Become A Celebrity!”

In “The Sadness of the Kardashians,” Sophie Gilbert’s Atlantic essay about the Reality TV family that has stretched its 15 minutes of fame into a decade-long stay in a Warholian vomitorium, the writer shines a light on the melancholia the women may be feeling about their less-than-brilliant careers, which seems like an odd place to put the piece’s emphasis. “If Kris were offered the same Faustian bargain again,” the article asks, “would she accept, knowing everything the next 10 years would bring?”

Hell yeah, she would. Kris Jenner is a monstrous person who was happy to shamelessly sell her soul as well as her daughters to the highest bidder in exchange for some recognition and a string shiny baubles. Even if she hadn’t been especially good at her disgraceful line of work and they’d never managed to attract an unblinking spotlight to their famous-for-nothing act, they would have been a damaged brood drowning in their own tears. With that mother, they were doomed from the start.

The more important questions are what enabled the Kardashians to be famous, and why do so many people all over the globe wish for the kind of notoriety they possess? The first question is easier to answer. Two technological changes made the brand possible: A decentralized media allowed for an explosion of channels on TV and the Internet which created an overwhelming need for cheap content and new stars, and the advent of computer-based non-linear editing systems for video made such Reality fare technologically simple to piece together. The second query is more knotty. There is currently a hole inside us that makes many crave for attention beyond all satisfaction. The Kardashians may best represent that dynamic, but they are far from alone.

· · ·

In Doug Bock Clark’s excellent GQexegesis of Kim Jong-nam’s Malaysian airport murder, he writes of how simple it was for North Korean agents to dupe fame-hungry young women into unwittingly committing murder with a nerve agent by convincing them they were merely participating in a hidden-camera Reality TV show. As shocking as the wetwork was—and it was purposely so bizarre to send a chilling message to the world—you could hardly blame the clueless culprits for failing to recognize the ruse, not in a world of endless cameras and emotional cruelty, in which reality and fiction have become so blurred. 

An excerpt:

After James enticed Siti [Aisyah] with his too-good-to-be-true offer of salvation, they toured the luxury hotels and malls of Kuala Lumpur from January 5 through 9, smearing oil and hot sauce on Chinese-looking men. Each prank was rewarded with another windfall.

According to Siti’s lawyer, Gooi Soon Seng, before long, “Siti started telling James she was tired of her present career, and that she looked forward to the new life of being a star.” She bragged to acquaintances that she was going to be a celebrity. When a friend video-called Siti on her birthday and joked with her that she would soon outshine a famous Malaysian actress, Siti agreed, laughing and jauntily flipping her hair.

At least once, Siti asked to see the recordings of herself, but James told her the film was still being edited and, according to her cousin, wouldn’t let her see it because it would make her self-conscious. 

Then, on January 21, James flew her to Cambodia for more “spoofing,” as they called it. Gooi told me, “It was when she went overseas that she really started to believe she could escape her old life.” James had even suggested she might spoof people in America.

In Phnom Penh, Cambodia’s capital, James informed Siti that “Chang,” a 34-year-old “Chinese” man who spoke fluent Bahasa, would replace him. Chang led Siti through three practice sessions at the airport.

Siti passed the end of the month back home in Ranca Sumur, with her family. She was there when Chang called, ordering her to return to Kuala Lumpur. Before flying out of Jakarta, Siti visited her son a final time.

On February 3, 4, and 7, Siti dirtied victims at Kuala Lumpur’s airport under Chang’s supervision. He increased her salary to two American Benjamins per hit, instead of half that in Malaysian ringgits. On February 8, Chang gave Siti $ 4,000 to arrange a trip to Macau—Jong-nam’s home. But the next day he canceled that. Jong-nam was already in Malaysia.

Two days later, she practiced again at the airport. It was Siti’s 25th birthday, and when they were finished, Chang bought her a taxi ticket home as a present. He told her that the next prank would be in a few days, on February 13.

Siti spent her last innocent night at a Hard Rock Cafe decorated with an enshrined Gwen Stefani bra. Her friends chipped in for a steak that cost two-thirds of her monthly salary at the sweatshop. An American pop song wailed over the speakers: I was supposed to do great things. At a table laden with fruit-bedecked cocktails, a friend announced, “And now the person next to me will become a celebrity!” Siti exposed her braces and bashfully tossed her hair. After her friends sang “Happy Birthday,” she blew out a lone candle on a cupcake-sized cake. Then they clubbed into the witching hours.

By 8 A.M., Siti was drinking coffee with Chang in a faux-Colonial coffeehouse that offered an excellent view of the airport terminal. Finally, Chang led her behind a pillar near the AirAsia self-check-in kiosks. There, Chang told her that a second woman would join the prank and that she should leave after the second woman struck. When Jong-nam strolled into the terminal, Chang identified him to Siti by noting his gray blazer and dark backpack. Then he told her to look away and stick out her hand, likely while unwrapping something from a white plastic bag he’d withdrawn from his black backpack. An oily substance slicked her palm. She noticed it smelled like machine oil, though the previous liquids had been odorless. Chang reminded her to apologize after striking and to leave quickly, since the target “looks rich.”

As Jong-nam approached, Chang ducked away, and Siti advanced on her target. After rubbing Jong-nam’s face, Siti fled. Her first few strides were measured, but by the time she neared the bathrooms, she was running. There, as she’d been instructed, she washed her hands of the affair. Then she went shopping at a middle-class mall. By the afternoon, she was laboring again at the spa, awaiting the next spoof, which would inch her closer to the life she had dreamed of when she had left Ranca Sumur.


What Siti would not comprehend until weeks later was that the North Koreans had stage-managed every detail of her recruitment and the assassination.•


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Next Week’s Strata Data Conference: What’s in a Name?

Next week, thousands of Big Data practitioners, experts and influencers will gather at New York’s Javits Center to attend the newly-branded Strata Data Conference. According to event organizers, the conference, which debuted in 2012 as Strata + Hadoop World, has been rebranded to more accurately reflect the scope of the conference beyond Hadoop.

The simplicity of the name belies the increasingly diverse and complex ecosystem of Big Data tools and technology that will be covered during three days packed with tutorials, keynotes and track sessions. It can be quite overwhelming – but here’s a sampling of what’s going on to help you plan your week.

Strata Data Conference Keynotes

Keynotes are always a great way to get energized for the day ahead, and this year looks to be no different, with titles including “Wild, Wild Data,” “Weapons of Math Destruction,” the cautionary “Your Data is Being Manipulated,” and the upbeat “Music, the window into your soul.”

We’re also looking forward to the presentation by Cloudera co-founder Mike Olson and Cesar Delgado, the current Siri platform architect at Apple.

Expanded Session Topics Connect Technology to the Business

While the main driver for dropping “Hadoop” from the conference title was to be more inclusive of the breadth of technology discussed, the new name appears to coincide with an expansion of topics that connect the technology to the business. In addition to Findata Day – a separate event curated for finance executives held on Tuesday – there is a “Strata Business Summit” track within the main conference, tailored for executives, business leaders and strategists.

Looking for more sessions that marry technology and business? You can filter on topics for Business Case Studies, Data-driven Business Management, Enterprise Adoption, and Law, Ethics & Governance.

Speaking of Governance … if you want to make sure the Big Data in your organization is actually trusted by the people who need and use it, be sure to attend “A Governance Checklist for Making Your Big Data into Trusted Data,” presented by our VP of product management, Keith Kohl, on Thursday at 2:05 pm.

LPheader StrataNYC17 Next Week’s Strata Data Conference: What’s in a Name?

Strata Data Conference Events You Won’t Want to Miss

Last, but not least, what’s a great conference without some great events? Here are a few favorites:

  • Ignite:Presenters get 5 minutes to present on an interesting topic – from technology to philosophy – that touch on the wonder and mysteries of Big Data and pervasive computing. Always a favorite, this event is free and open to the public. So stop by even if you don’t have a conference pass!
  • Strata Data Gives Back: Join Cloudera Cares and O’Reilly Media in assembling care kits for New York’s homeless and at-risk youth, in partnership with the Covenant House NY. Visit the Cloudera stand in the Expo Hall to get involved.
  • Booth Crawl and Data After Dark: Unwind after a day of sessions by with fellow attendees, speakers and authors while you enjoy a vendor-hosted cocktail hour in the Expo Hall. Be sure to stop by Syncsort Booth #715 where you can enjoy a Mexican Fiesta and get our latest t-shirt! Ask our data experts how you can unlock valuable – and trusted – insights from your mainframe and other legacy platforms using our innovative Big Data Integration and Data Quality solutions! Then head to 230 Fifth, New York’s largest outdoor rooftop garden, for Data After Dark: City View.

Haven’t registered for Strata Data Conference yet? Get a 20% discount on us!

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Syncsort + Trillium Software Blog

NetSuite prepares businesses for What's Next with 'Next Ready' Business Tour

og image NetSuite prepares businesses for What's Next with 'Next Ready' Business Tour

Leading Cloud ERP Provider Launches 15-City Tour to Help Businesses Grow with Scale and Adapt to Changes

SAN MATEO, Calif.—August 14, 2017—Oracle NetSuite, one of the world’s leading providers of cloud-based financials / ERP, HR, Professional Services Automation (PSA)</a> and omnichannel commerce software suites, today announced the ‘Next Ready’ Business Tour. Beginning this month and crisscrossing the country at select cities, the tour will feature industry thought leaders, customers, partners, NetSuite executives and sports legends from the NBA, NFL and MLB at multiple one-day events. The event series is designed to prepare businesses for whatever comes next, whether it’s a new business model, a new market, new technology or new regulation with NetSuite’s decades of experience across a wide range of industries, real-world examples of businesses thriving amidst change and some of the leading analysts and consultants in their field.

The 15-city tour will provide businesses an opportunity to learn about:

  • Scaling Your Business, enabling growth and innovation amidst an environment of constant change.
  • Preparing for ASC 606, adjusting to the biggest accounting change in over a decade that is bringing changes to how companies sell, manage and account for revenue.

Joining a wide array of companies that have transformed and grown their business on NetSuite will be a select group of ‘Next-Ready’ speakers and industry thought leaders including:

  • Dirk Beveridge, Founder of UnleashWD and a leading voice in the wholesale distribution industry.
  • Christopher Lochhead, Host of the hit podcast Legends & Losers, and Co-Author of “Play Bigger,” a book that examines how “category kings” dominate their industry.
  • Jeanne Urich, Managing Director, Service Performance Insight, LLC, a global research and training organization dedicated to services organizations.

The ‘Next Ready’ Business Tour will take place in the following cities on the following dates:

  • Chicago Monday, August 14
  • San Diego Thursday, August 24 with NBA Legend Bill Walton
  • Minneapolis Tuesday, August 29
  • Vancouver Wednesday, September 6
  • Boston Tuesday, September 12
  • Philadelphia Wednesday, September 13 with Basketball Hall of Famer Julius Erving aka Dr. J
  • Houston Thursday, September 14 with NBA All-Star Chris Paul
  • Denver Tuesday, September 20
  • Salt Lake City Wednesday, September 21
  • Toronto Tuesday, September 26
  • New York Wednesday, September 27
  • Atlanta Wednesday, October 11 with Basketball Hall of Famer Dominique Wilkins
  • Washington, D.C. Thursday, October 12
  • Tampa Wednesday, November 8 with Olympic Gold Medalist and MLB All Star Tino Martinez
  • Miami Thursday, November 9 with 2017 Football Hall of Fame Inductee Jason Taylor
  • Chicago Tuesday, November 14

Select cities are almost near capacity. For more details on the specific city agendas and to register, visit www.netsuite.com/nrbt.

About Oracle NetSuite Global Business Unit
Oracle NetSuite Global Business Unit pioneered the Cloud Computing revolution in 1998, establishing the world’s first company dedicated to delivering business applications over the internet. Today, Oracle NetSuite Global Business Unit provides a suite of cloud-based financials / Enterprise Resource Planning (ERP), HR and omnichannel commerce software that runs the business of companies in more than 100 countries. For more information, please visit http://www.netsuite.com.

Follow Oracle NetSuite Global Business Unit’s Cloud blog, Facebook page and @NetSuite Twitter handle for real-time updates.

About Oracle
The Oracle Cloud delivers hundreds of SaaS applications and enterprise-class PaaS and IaaS services to customers in more than 195 countries and territories while processing 55 billion transactions a day. For more information about Oracle (NYSE:ORCL), please visit us at oracle.com.

Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners.

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NetSuite's Latest Press Coverage

Just thinkin’ about my next flight

 Just thinkin’ about my next flight



 Just thinkin’ about my next flight

About Krisgo

I’m a mom, that has worn many different hats in this life; from scout leader, camp craft teacher, parents group president, colorguard coach, member of the community band, stay-at-home-mom to full time worker, I’ve done it all– almost! I still love learning new things, especially creating and cooking. Most of all I love to laugh! Thanks for visiting – come back soon icon smile Just thinkin’ about my next flight

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Deep Fried Bits

Xiaomi Will Open Over 2,000 New Stores Worldwide Over Next Three Years

Xiaomi plans to open more than 2,000 new stores around the world over the next three years.

Xiaomi’s vice president Wang Xiang revealed during an interview reported in Chinese media. Wang is in charge of Xiaomi’s global strategy, and he said half of those new stores will be opened in China and owned by Xiaomi; while the other half will be opened abroad and operated by its partners.

This is a part of Xiaomi’s overseas growth strategy. Xiaomi will become a global company and consumers will be able to see it in nearly every country, said Wang. In 2017, Xiaomi has already expanded into Russia, UAE and Egypt and the company started localized production in India and Indonesia. Wang revealed that the company plans to put more efforts in Southeast Asia and Eastern Europe.

In addition, though Xiaomi’s low-price products may be more attractive in developing countries, the Chinese company also plans to enter Western European countries.

According to Wang, apart from building brand awareness in overseas markets, the company needs to solve problems brought by its product pricing. He said in normal conditions, low price indicates poor quality. However, Xiaomi intends to prove that a consumers does not need to spend a lot of money to buy high-quality products. This is the biggest challenge the company is facing.

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The neural network writes the episode list for next season’s Dr. Who

I’ve trained this open-source neural network framework on a variety of datasets, including recipes, Pokemon, knock-knock jokes, pick up lines, and D&D spells.

Now I give you: training a neural network on the complete list of Dr. Who episodes. (Big shout-out of thanks to blog readers Anya and Dan, who provided the dataset!)

The input dataset was simply the list of episodes, with no extra information given to the network – it has no idea even if this is English, or words, or a list rather than a paragraph or code.

Pretty much immediately, however, it figures out that “The” is important, as are the letter combinations “Do” and “Da”. The following is output from a very early generation, with the “temperature” (think “daringness”) variable turned to a very safe setting:

The Dont
The Dant
The Dant
The The Dant
The The Dont

If increase the temperature, forcing it to be more daring, it will try other letter combinations, but won’t give up on using “the”. Sometimes it’ll pile on a whole cascade of “the”s, in a fit of either panic or pique.

The Dinn
The Sons
The Ardeao
The Areir
The Wed on the The The Ans

Then, it finally learns to spell “Dalek” and never looks back.

Safe setting: (Daleks. Stick with the Daleks.)

The Sires of the Daleks
The Argass of the Daleks
The Arges of the Daleks
The Wire of the Daleks
The Argoss of the Daleks
The Argass of the Daleks
The Argas of the Daleks
The Daleks of the Daleks

Adventurous setting: (Nonsense words and Daleks)

The Wirs of the Arooss of the Daleks
The Pas of the Amse
The Aaression Ware
The Amios of the Lale
The Fist of the Daad
The Girg Bans

In later generations, it has learned the tiny input set by heart, and on the safe setting is able to reproduce the actual episodes word-for-word, in order. On the adventurous temperature setting, I’m able to force the neural network to make spelling mistakes, and its attempts to move back toward some spot in the original list make for some interesting new episodes.

I give you: Dr. Who episodes produced by a rather annoyed neural network.

The Stick of the Doctor
The Keds of Death
The Twin Doctors
The Ten Doctors
Cold Clood
The Unicorn and the Daleks
The Fires of Poop
The Beads of the Daleks
The Sontaren Beep
The Power of Tron
The Awkroids of Tara
The Agaves of The Doctor
Dinosaurs of the Deep
The Pirate Lover
Loodly Moysters
The Wheeen Death
The Bile Doctors
Planet of lime
The Crows of Doom
Planet of Fire in Space
The Poupon Invasion

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SuiteWorld 2017 Services Keynote: Optimizing for Next

websitelogo SuiteWorld 2017 Services Keynote: Optimizing for Next

Posted by Barney Beal, Content Director

At the SuiteWorld 2017 Services industry keynote, Jason Maynard, NetSuite Senior Vice President of Strategy and Marketing, explains the challenges confronting the services industry, what’s in store and how NetSuite is helping innovative services companies reach their goals, including the SuiteSuccess for services industry solution.

Maynard is joined on stage by Christopher Lochhead, author of Play Bigger; Katrina Horton, NetSuite Senior Director of Strategic Services; Gary Wiessinger, NetSuite Senior Vice President of Product Management; Jeff Smith, Senior Vice President of Operations and Strategy for GST, an IT implementation business with an A/V video practice; Terry Melnik, NetSuite’s Director of Services Product Marketing; Heather Miller, NetSuite’s Vice President of Business Planning, Global Professional Services; Nikhil Gupta, Principal and Director of Business Operations at Booz Allen, a management and technology consulting firm; Joseph Fung, NetSuite Vice President of HCM Products; and Mark Baldwin, Senior Vice President Administration and General Counsel for DSI, a mobile software and services company focused on the supply chain.

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