Tag Archives: big data

Big Data Horizons- MoviePass, Top 4 Data Skills

MoviePass Is Trying to Disrupt Hollywood — Will It Succeed?

“Will revolutionize the way we go to movies”

With a fleeting business model and a growing loss of revenue, MoviePass is looking to revamp consumer interest in theater viewing. The idea is predicated on the Netflix model, which allows users to stream unlimited media on a subscription basis as opposed to per title. MoviePass similarly operates by allowing users to buy a subscription program, hoping to provide a more frequent and consistent movie viewing audience. The firm is expected to make an IPO in early 2018, and showcases another application of big data in entertainment.

Top 4 Big Data Skills for Engineers

“The Big 4 demanded by consumers and employers”


The physical infrastructure forms the backbone of a Big Data implementation. This infrastructure needs careful planning and configuration to withstand data storage and processing demands. DevOps for Big Data is a key admin skill and often requires knowledge of cloud architectures as Big Data processing is extremely well-suited for the elastic and highly available nature of the cloud.


These are the skills that have proven essential for building data pipelines and frameworks that ultimately provide data for the data scientists to analyze. Data pipelines are responsible for ingesting data from a variety of sources, including real-time and batch. Hadoop and Spark are the most popular Big Data frameworks used across organizations. While Hadoop is the popular choice to store Big Data, Spark has stepped in to provide a lightning fast framework to process data.


This encompasses a mix of expertise in statistics, machine learning, data mining, operations research, mathematics, and computer programming. Data scientists, data analysts, machine learning engineers, and artificial intelligence engineers are required to dive into petabytes of messy data, build algorithms, and then write robust code to automate the algorithms and prove their performance on large-scale live data. In addition to familiarity with the Hadoop ecosystem, this role also demands experience with programming languages like R, Java, Scala, and Python.


Visualization developers tell a story using the data collected and design dashboard visualizations tailored to customer needs. These people serve as a technical resource for accessing disparate sources of data and integrating these sources into a common and interactive platform that effectively displays how the company’s data meets their Key Performance Indicators (KPI).

Lenovo drives big data take up in car making industry

“Partnership to promote AI in auto industry”

Announced last Wednesday, Lenovo is set to examine Haima’s sales data to bring solutions in targeting potential customers.  The collaboration will eventually encompass more areas of development, in areas such as car design, development, and smart manufacturing. This deal is one of many since Lenovo has started to provide solutions to clients in 2016. Various industries including metallurgy and medicine have benefited from Lenovo’s big data arm.

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Three Interesting Use Cases of AI That Will Have You Believing We Are In The Future

It’s official, we are beginning to witness the early stages of the inevitable Artificial Intelligence boom, which is slated to revolutionize multiple products and services across all industries. AI isn’t a new concept, but up until recently we lacked the resources and technology to utilize it effectively. With our growing collection of Big Data along with technological standards being pushed further each year, AI is becoming a lot smarter, and we are seeing it reach limits we only dreamed about in science fiction. Today we will examine three interesting use cases of AI that will have you believing we are living in the future.

The Health Care Kiosk

The NBA Summer League has stepped up its game up with the addition of the Connexion kiosks from Fusionetics and Aspire Ventures.

Stepping into the Connexion kiosk is unlike anything you have experienced before. The kiosks are filled with IoT Sensors, cameras, and other technologies that are able to collect data on a vast number of health-related things creating a 4D picture of the user’s health. By collecting data, the kiosks can process the information taken in by the sensors and provide unique recommendations for the user through the use of powerful AI technology.

For the NBA Summer League, Aspire Ventures Chief of Products Mike Monteiro says “let’s say their arms move out as they squat or their arms fall forward as they squat—they have a system that can translate that into an understanding of what imbalances or weaknesses they have in their body and then, based on that, they build a personalized training program specifically designed to help you accommodate for those weaknesses and address those imbalances.”

In short, the Connexion Kiosk AI can be used to show athletes where their weaknesses are, and provide unique and custom recommendations for each person.

Monteiro continued to describe the future of the Connexion Kiosk which he believes will be able to possess non-invasive biometric sensors to track hydration levels, respiratory levels, and even electrolyte levels.

An AI machine like Connexion has the potential to revolutionize the sports industry, giving teams a competitive advantage by streamlining operations, and helping trainers select athletes, prevent future injuries, and maximize performance potential.

The AI Cyber Battle of 2017

Humans aren’t the only ones boxing each other anymore. Earlier this year, security researchers hosted and participated in the Darpa Cyber Grand Challenge, which pitted several AI bots against each other.

This battle worked by having the bots play offense and defense, trying to stop cyber-attacks from other bots while also fighting back. Basically, the bots would repair their security flaws and try to stop the hacking, while also attacking the other bots at the same time. The last bot standing would be declared the victor.

However, the point of this conference wasn’t just to watch these security bots fight each other and name a champion. The conference was a chance for researchers to help gather more information and insights as to how they can improve their own AI security systems. In the words of well-known hacker Mike Walker, “A Grand Challenge is about starting technology revolutions.”

By understanding how their bot’s security measures were exploited, engineers could get back to the drawing board to create new defensive coding, strengthening the AI for later and actual cyber-attacks.

Recipes from Chef AI

It’s after work, you’re scrolling through Instagram, and you see a beautiful image of a dish unknown to you. You check the description to see if any  information on the dish is listed: name, ingredients, recipe; but there’s nothing besides some useless hashtags.

Pic2Recipe! is planning to help you with the use of AI. The website, created by MIT student Nick Hynes, allows users to upload images of food and receive information on the dish. This is done through AI that can understand the uploaded food photo, and provide users with all information on the dish. From the name of the dish to popular recipes, Pic2Recipe is planning on getting you into a chef’s hat to cook up a new meal.

As of right now, Pic2Recipe! is a developing product which still has its struggles identifying some dishes, like smoothies and other blended products. However, with continued growth, it looks to be an extremely popular web application.

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10Fold Security Never Sleeps- GDPR, Law and IoT

New Trojan malware campaign sends users to fake banking site that looks just like the real thing

“False login ages steal sensitive info”

A credential stealing trickbot banking malware has been engaging in a email spam campaign that gives users a fake webpage that is nearly identical to the original. Online banking users in the US, UK, Australia, and many other countries have been affected, and this number is expected to grow as those developing it have been experimenting with EternalBlue. This was the exploit that allowed WannaCry and Petya to spread so efficiently.

Can U.S. lawmakers fix IoT security for good?

“Inter-connectivity leaves devices vulnerable”

Several U.S. Senators believe they have proposals that will aid in preventing the attacks that have plagued IoT devices in the last few years. The proposed solutions, put forward in the Internet of Things Cybersecurity Improvement Act of 2017. Many expert analyses of the IoT Act reveals that it’s likely a hearty step in the right direction, but it may not be enough to stop the tide of attacks that cause major issues for many people.

How to protect personally identifiable information under GDPR

“New rules grant more rights in PII for consumers”

The GDPR goes into force May 25, 2018, impacting many firms worldwide that process data for EU citizens. Heavy fines and other penalties are due to the companies that do not enforce the more rigorous personal identifiable information (PII) regulations, often up to 4% of a firms yearly revenue. Breaches are also required to reported with three days.

Ex-NSA Analyst Raises $10 Million To Stop Hackers Destroying Power Grids

“Infrastructure targets more popular”

Part of an espionage mission to disrupt critical services began in 2013, when a U.S. dam was targeted by mercenaries hired by Iran’s revolutionary Guard Corps. This relays the importance of national cyber security, recognized by Rob Lee, who was once part of National Security Agency and currently co-founder at infrastructure-focused cybersecurity firm Dragos Inc. The firm has recently raised $10 million in Series A funding for its goals, and a recognition of the seriousness of the situation.

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10Fold Big Data Horizons- Lampix’s Crypto Crowdfund, Auto Applications

Toyota, Intel and others form big data group for automotive tech

“Tackling concerns of connected cars in the future”

Several high profile firms such as Toyota, Intel, and more are collaborating to bring some of the greatest big data automotive theories into reality. Critical components like real-time mapping, driving assistance and muchmore are all core focuses of the group, with the intention of making these huge volumes of data in tangible, reliable, and secure.

The group issued this statement regarding their mission; “It is estimated that the data volume between vehicles and the cloud will reach 10 exabytes per month around 2025, approximately 10,000 times larger than the present volume. This expected increase will trigger the need for new architectures of network and computing infrastructure to support distributed resources and topology-aware storage capacity.”

Lampix’s Big Data ‘Crypto’ Crowdfund Scores Over $4M, Sets $60M …

U.S. based fintech firm Lampix is building a Blockchain ‘image mining’ network for AR and other computer vision systems. The company raised 11,111 ethereum, a bit over $3m from investors in three minutes during a ‘pre-sale’ crowdsale token launch (CTL) of their PIX token this week, together with partner company ICO.info.

Nvidia CEO Huang: Big Data, Self-Driven Cars, Gaming the ‘Big Vectors’

“It’s not every day you have your record, ever, quarter, and also guide to another record, ever, quarter.” -Huang

Jen Hsun Huang recently spoke with a reporter from Barron’s commenting on the next avenues and applications of big data. According to him, there are three “big vectors” that are showing up: Big Data, A.I., and gaming.

The big vectors are, on the future of computing, about big data, and data-intensive computing, and our work in GPU computing has proven to be the ideal platform, and we are seeing adoption all around the world. Second, the next revolution is AI at the edge, and the most visible example is autonomous vehicles. Especially level 3 through 5 of autonomous driving. And the third, video games, are the largest form of entertainment in the world, and the two fastest-growing platforms in gaming are GeForce [Nvidia’s gaming GPU brand] and Switch [Nintendo’s Switch portable gaming console, which runs on Nvidia GPUs].

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10Fold Big Data Horizons- Public Health Benefits, Improving Crop Yields

Mastercard’s Big Data For Good Initiative: Data Philanthropy On The Front Lines

“Data leveraged for the public good”

In 2013 Mastercard launched the ‘Mastercard Center for Inclusive Growth,’ an independent organization that acts as a subsidiary of the the Mastercard corporation. The firms stated purpose is to leverage data in a range of social benefit programs.

Testimony from Chairman Walt Macnee addressed the importance of the private and public sector collaboration for public benefit in a may 2017 testimony before the Senate Committee on Foreign Affairs; “We will continue to leverage our technology, data, and know-how in an effort to solve many of the world’s most pressing problems. It is the right thing to do, and it is also good for business.” Mastercard believes that there is an opportunity to break down traditional business and data silos to create greater opportunity for social and economic inclusion, which they characterize as “inclusive growth.”

NSF grant aims to use big data to improve crops

“Moving to ensure better yields”

WSU researchers are leading a multi-university effort to improve crop management in the age of big data. Ananth Kalyanaraman, associate professor in the School of Electrical Engineering and Computer Science, leads a team of researchers that have now received a 3-year, $1.2 million grant to aid biologists in sifting through large data stores on categories such as plant traits, environments and more to determine important metrics. The multidisciplinary team intends to focus on improving scientific understanding of the interaction between genes and the environment to create better crop yields.

How big data is transforming workplace skills

“Continuous learning is becoming the new norm”

Sylvia Vorhauser-Smith, Senior Vice President of Research at PageUp, said the shift in workplace culture will enable organisations to move towards self-directed, employee-centric, learning. She told L&D “Organisations that are joining this journey stand to unlock untapped reserves of talent and potential, and ultimately maximise business performance,” and “we expect to see artificial intelligence and augmented/virtual reality play a significant role in the future of learning. The richer the learning experience, the greater will be its adoption and effectiveness,” she said.

Big Data Shows Big Promise in Medicine

“Computers may have surpassed doctors in life-or-death judgements”

In medicine, replacing intuition with machine intelligence can save patients from deadly unintended consequences, such as drug side effects or otherwise incurable cancers. Shirley Pepke, a physicist by training who moved into the field of computational biology,  developed a deadly cancer and responded and fought it using big data. Pepke incorporates her experience to the medical world by claiming that in the future doctors may have to think less statistically and more scientifically. Her doctors made decisions based on statistical information, rather than the individual patients needs and specific circumstances.

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10Fold Big Data Horizons- NBA Scouting, SME Applications


“Sports analytics are changing the game”

New processes are paving the way for the future of sports scouting, demonstrated by teams utilizing film and scouting services such as Synergy Sports Technology to streamline the process of accessing and filtering information. The new tech provides metrics that show fans perceptions of possible recruits as well as the level of success draftees may have playing at the next level.

Interesting Big Data Trends In Brazil

“Brazil’s big data potential offers investors many new opportunities”

Specialization to various niches in Big Data firms are beginning to serve the local and international markets. Several examples are:

  • Precifica -real time monitoring of products and pricing
  • Big Data Corp –supports the decision making process of companies seeking to boost their online investments.
  • Navegg –online targeting based on audience analysis
  • Aentropico –a predictive analytics platform combining applied statistics with improved user experience to bring useful algorithms to non-tech users.
  • Webradar –analysis data and pinpoints issues that telecom companies need to address to improve customer satisfaction.

Big Data for Small Business: What to Look At and How to Use It

“Big data leads to Big Business”

Information is vital to the health of firms today, but bad data can be detrimental. It’s estimated that the U.S. alone loses $3.1 trillion and 35% of business revenue because of mis-management of data applications. t’s especially so for small-to-medium businesses that must get every possible inch of competitive advantage to attract customers. The main problem is the complexity of data analysis, as it is a process that is extremely difficult and requires specialized skills and workers.

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Big Data Horizons- Self Driving Cars, Rare Earth Mining

How BMW Uses Artificial Intelligence And Big Data To Design And Build Cars Of Tomorrow

“Car quality advanced by high tech processes”

AI and other data-driven predictive analysis technologies are helping BMW realize the cars of the future. The company is certain new technological advances will allow vehicles to pilot themselves soon, claiming that the current target for the firms ‘level 5’ autonomy cars (i.e., fully self-driving)should be marketable by 2021. For a manufacturing powerhouse such as BMW, this is quite an ambitious undertaking. BMW is certain that firms like Teradata will use modern technologies that will ensure the greatest efficiency in logistics and data flow while also performing at peak speed.

Scientists turn to big data in hunt for minerals, oil and gas

“Techniques from online retailers coming to rare mineral production”

A study released on Tuesday from the American Mineralogist has shown that rare earth miners are absorbing big data analytics to apply to exploration data. So far the techniques have already helped to discover 10 carbon-bearing minerals. The report elaborated on the big data inclusion in exploration practices; “Big data points to new minerals, new deposits.”

Big Data Gives Businesses the Nose for Smelling What’s Selling

“Big Data is turning into Big Business”

Largescale retailers like Sainsbury have huge swathes of its market share, and it uses big data analytics from billions of transactions to differentiate itself and help in compete in a increasingly competitive market. Andrew Day, CDO of DACE, is at the heart of the plan to help the firm use big data insights to improve customer satisfaction, increase revenues and much more.

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10Fold- Big Data Horizons- Blockchain, Transportation, and Governance

When Blockchain Meets Big Data, the Payoff will be Huge

“Blockchain sweetspot will turn insights into tangible assets”

Blockchains will give greater confidence in the integrity of the data you see. Immutable entries, consensus-driven timestamping, audit trails, and certainty about the origin of data. Long term, we should expect to see an expansion of the concept of big data as data silos are converted to blockchain-enabled shared data layers.

Big Data could Revolutionise Transport, Right Now

“Future of transport is full of possibilities”

Superfast hyperloop systems, self-driving cars and other new technologies are showing promise to make us move faster and more efficiently than ever before. By implementing big data analytics, travel could be as simple as dialing in your destination as you leave home and reduce traffic, maximize responsiveness, and cut down overcrowding on public transit systems.

India Government to Nab Tax Evaders Through Big Data

“Indian government planning massive Big Data implementation”

The government of India is planning big data analytic information on individuals and corporate houses for income tax assessments. Starting in August, the government will collect statistics from bank sources, online transactions, and social media sites to match the spending and lifestyle patterns of a citizen with income declarations.  

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10Fold- Big Data Horizons

EU’s Copyright Reform Might End AI & Big Data Startups

“Industry watchers concerned”

Many industry leaders and entrepreneurs have stated their intentions to pull their activities outside of the European bloc if current copyright reform measures advance. According to Lenard Koschwitz of Allied for Startups, the most controversial aspect for affected fields is in regards to data and text mining programs. Many committees in the European Parliament have proposed that startups may only do these activities within three years until explicit permissionmust be obtained from its original sources.

Mark Zuckerberg, Priscilla Chan Donate $10M to Advance Health Using Big Data

“Spearheading Data Recycling research” 

Contrasting traditional research that recruits groups of patients and collects data from scratch, new research suggests that mining the millions of gigabytes of publicly existing data can yield great insights. Those who know where to look in health and medicine records can find them, all while protecting the privacy of the individuals whose records are being examined.

IBM Tames Big Data by Blending All-Flash Storage and Spectrum Scale Software

“Storage solution targeting big data workloads”

IBM enterprise customers will have access to insights with greater speed and with a new bundled storage solution. The software is Hortonworks Data Platform Certified and includes the EES and Spectrum Scale storage services and management processes, delivering data throughput rates that are 60% faster than previous products. The estimate is based on the 40GB per second maximum provided by the ESS GS6S array as compared to the ESS GS6 25 GB per second limit.

Before the Next Disaster Strikes, Get Better at Data Science

“Data invaluable tool to mitigate risk of asset failure”

Applied data science and advanced software can provide huge insights into machine health and help to foresee mechanical issues before they occur. This progressive data science is aiding industrial operating systems transition from reactive to proactive maintenance and compliance techniques, improving safety and saving money.

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3 Insights from Industry Leaders at 10Fold’s Inaugural Big Data Horizon Event

With 10Fold’s first ever Big Data Horizon (BDH) event coming to a close last week, we’re sharing some of the key takeaways on what industry leaders are focusing on as they build their data strategies.

  • Big Data & Big Legal

With the ever-increasing complexity of data collection and a growing number of embedded sensors in the products used by enterprises, legal’s role in safeguarding such data was top of mind at BDH. George Gilbert, Lead Analyst for Big Data & Analytics at Wikibon, noted that technologies like “digital twins”, which provide the entire lifecycle data for products, will have far-reaching legal ramifications. Digital twin technology will likely raise unique challenges for enterprises that outsource data collection and analysis, as they will have to contend with new issues in data ownership and potential leakages.

  • No More “Machine Learning”?

Big Data as an industry is rife with buzzwords, fads, and controversy. Often concepts in data science take on several name changes as technologies are either innovated upon or fade away in deference to competing technologies. Just as the term “perceptron” fell to neural networks, many participants at the BDH did not believe that “machine learning” would last as a phrase in the Big Data lexicon.

  • Enabling Citizen Data Scientists

Software will increasingly take up a larger share of the pie with hardware and infrastructure maturing as market segments. These shifts will eventually translate into a greater number of power users and citizen data scientists taking on some of the less specialized aspects of data science, with many new tools emerging to cater to this audience. If this trend continues, employers will increasingly look for people who have an idea about data science fundamentals to bridge skill gaps as they look to apply data to business processes.

Are these trends in line with what you heard at Big Data Horizon, or if you weren’t able to make it to the event, have you been hearing similar things in your Big Data world? Let us know in the comments or on 10Fold’s Twitter, Facebook or LinkedIn.

And a huge thank you to all our first Big Data Horizon attendees. It would not have been a success without you, and we hope to see you all at the next Big Data Horizon event!