Tag Archives: big data

The Top Big Data Awards You Don’t Have to Pay For

Competing for industry awards brings a multitude of benefits. Not only does it allow industry experts to provide useful feedback about your company and its technology, winning or even participating in certain awards can result in different pieces of collateral like press releases, blogs, or social media promotions. This, in return, can become a great recruiting tool for your company and can also be promoted by your sales teams.

Although there is a wide variety of industry awards to choose from, some are quite expensive – think the CODiE Awards (a total of $995 for non-members) or the Best in Biz Awards (a total of $400 per submission). Furthermore, most awards don’t guarantee you a winning or finalist spot, and there is no refund policy in place.

To lead a successful award program, one should consistently compare the value of the submission versus the cost, and to help you get started, our 10Fold experts put together a list of valuable, free-to-apply awards in Big Data:

The AI.Awards are a relatively new award program, looking to support the AI community by recognizing the hard work and dedication of those working in the field. If your company is new, and is looking to snag their first few awards, the AI Awards would be a great place to start. Last year 17 winners were announced, but this year they are planning on announcing 52 winners. Nominations are open now!

CB Insights AI 100 List
The AI 100 recognizes the teams and technologies that are successfully using AI to solve big challenges, preferably startups. CB Insights holds a strong influence in the AI market, due to the large amount of research and focus they put on the topic. Of the 100 companies included on the list of 2016, 55 of them went on to raise additional funding nearing $2B and 5 were acquired. These awards are competitive with over 2,000 entrants, but the benefits of the award could be worth the time.

Big Data
Datanami Reader’s and Editor’s Choice Awards
Do you have a solution that is worth nominating? Do you have a good social media presence or a large audience? If you answered yes to both of these questions, the Datanami Reader’s and Editor’s Choice Awards may be one of the top free awards for you to apply for. Covering a large amount of Big Data categories, the primary audience here are readers of Big Data trade publications, as well as those possibly searching for better and new solutions for their companies. Although the awards are not open yet, they should definitely be on your radar, as winning these awards could earn you some nice editorial opportunities.

TDWI Best Practices Award
Does your client have a customer willing to speak on their behalf? Does your company have solid statistics or story of the deployment or development of their Big Data solution? The TDWI Awards are looking for just those things. The Awards are designed to honor companies that have demonstrated best practices in developing, deploying and maintaining solutions for BI, analytics, data warehousing, and more. Winners are chosen by a panel of experienced judges, and we all know that people seeking out winners of these awards may definitely be looking to bring a hint of innovative technology to their practice. Winning this award can definitely position any company as a proven leader in big data. Applications are open now, and deadlines are closing on April 23rd.

Health Technology Awards

Modern Healthcare Awards -100 Most Influential People in Healthcare List
Have an influencer that you believe is of the top tier of the healthcare industry? Then look no further. This Modern Healthcare list honors individuals who are influential in terms of impact, and leadership. Readers will vote for their top choices and the honorees are published in Modern Healthcare’s popular annual ranking. Nominations close on May 8th! This list is influential in itself, and those who search for it are more than likely looking to follow thought leaders.

IET Innovation Awards
Winning an IET Innovation Award is quite the feat, with competition being high, and the award being free to apply! IET is the second largest membership organization for engineers in the world, and by winning the awards, you could place your company in the forefront of innovation thought leadership. Engineers are the primary audience of the award, and who better to impress than some of the smartest individuals in the world?

Applying for industry awards leads to benefits beyond a simple self-assessment or a logo for the company website. It also allows you to research past winners and help you get a sense of what others are doing in your industry in addition to gains in your recruiting and sales outreach. Although time-consuming and sometimes distracting, you and your team should consider applying for a select few opportunities that can be of value to you and your business.

By Anne Stanley, Kyra Tillmans, and Kory Buckley

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AT&T Using Big Data, Burberry

AT&T Boss Randall Stephenson’s Big Data Strategy

“Consumer privacy is “the issue of the day,” AT&T’s Stephenson has said”

While AT&T Chairman and Chief Executive Officer Randall Stephens spoke at Vanity Fair’s New Establishment Summit in Los Angeles Wednesday, he was clearly very aware of the debate over consumer privacy in Washington.

Using consumer data to boost ad sales is a central focus of AT&T’s purchase of Time Warner  for $85.4 billion, or $108.7 billion including the assumed debt. Stephenson said that DirecTV has been able to charge two to three times the amount that legacy media can bill for advertising, because the data AT&T can glean from its network helps advertisers to focus their ads. AT&T plans to use its consumer data to drive a similar increase in the ad rates that Time Warner charges for Turner’s networks.

Media and tech companies need to think about how they deal with consumer privacy in general, Stephenson suggested. “The world is moving to place [that] a lot people in this room would not like,” he said, an “opt-in world” in which consumers have to give approval for how corporations use their data.

AT&T has experimented with giving customers financial incentives in exchange for using their information in Austin, Texas, he said. For high-speed broadband connections that cost $100 per month, AT&T has offered a discounted rate of $70 if the customer allows the telecom to use their data to sell ads. Acceptance rates have been from 94% to 96%, Stephenson said.

As privacy concerns around data collection raise across all areas of every market, companies must find ways to incentivize consumers to share their data. Big data can provide extremely valuable insights to companies regarding their target markets and customers, and if the industry wants to move forward, the collection of data cannot stop here. In the future, we will look to see more and more companies find creative ways to reward their customers for sharing their data, much like AT&T.

The Amazing Ways Burberry Is Using Artificial Intelligence And Big Data To Drive Success

“Using AI to boost sales”

Burberry does this by asking customers to voluntarily share data through a number of loyalty and reward programs. This information is used to offer personalized recommendations, online and in store. When an identified customer enters a store, sales assistants use tablets to offer buying suggestions based on their customers’ purchase history as well as their social media activity.If Burberry knows that a customer has recently bought a particular coat, for example, then assistants may be encouraged by the app to show them a handbag which is popular with other buyers of the coat.

One specific insight was the impact that product images had on sales of items that performed well in-store but not so well online. By creating new images for products where the data showed this was occurring, the company saw a 100% increase in sales for one particular bag.                                 

Here, we see another example of incentivizing consumers to allow the company to collect data. Not only this, but the reward given to the customer provides a very personalized experience with recommendations. With the data collected from this program, Burberry saw an opportunity to update images on their website to boost sales, which it did.

Even college baseball teams are now embracing the big data approach

“Big data will revolutionize all aspects of society”

The pitcher comes set. Enacts his delivery. His offering sails wide of the plate. Just like the last one, he thinks. He checks over his shoulder, glancing at the scoreboard that displays the strike zone, the pitch speed, and the exit velocity of batted balls. Yup. Instant feedback and validation, right there, right as soon as the ball leaves his hand. To think, this is only practice — yet all this information is available so readily

The big data approach to baseball has gone to college.

The Iowa Hawkeyes have transitioned from a non-entity to one of the best programs in the Big Ten conference since head coach Rick Heller took over in 2013. Iowa has won 30-plus games in each of Heller’s four seasons, that after winning 30 in just two of the previous 14 years. Last spring, the Hawkeyes won their first conference tournament in school history, and in August they became the first American representative to win a medal in the World University Games.

“I do believe that some portion of our success can be attributed to the technology we have and how we implement it into our development,” Druschel said, crediting Heller for building the program in numerous ways. The University is a fan of Heller, too. Iowa has renovated its stadium — installing new Astroturf, a new scoreboard — and continues to splurge on amenities that used to seem beyond the scope of big-league teams, let alone college programs.

Missouri’s greatest advantage over the other teams pursuing the same information and training edge is an easy one to overlook: an analytics staff. “There aren’t many Division I programs that have Trackman, let alone have an analytical team who can make sense of Trackman on a deeper level besides spin rate and the basic stuff that Trackman reports”, Lawson said. “We’re able to get into it deeper and so it’s one thing that allows us to stand out.”

Slowly, big data analytics is being adopted by clubs across a variety of sports. College baseball, is pushing farther than many others by deploying an actual analytics staff to help understand the statistics and performance of every player. This gives any team utilizing data a competitive advantage over other teams, as the data allows them to target weak points of their playing quickly, and find out truly what needs to be done to be successful.

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AI, IoT Saves Lives

The Amazing Ways Coca Cola Uses AI And Big Data To Drive Success

“One of the first firms outside of IT to speak about Big Data and AI applications”

Coca-Cola has been a big player in the big-data space in recent years, and have shown many times their practical use of big data as a form to improve products. In 2012  chief big data officer, Esat Sezer, said “Social media, mobile applications, cloud computing and e-commerce are combining to give companies like Coca-Cola an unprecedented toolset to change the way they approach IT. Behind all this, big data gives you the intelligence to cap it all off.”

More recently, Greg Chambers, global director of digital innovation, has said “AI is the foundation for everything we do. We create intelligent experiences. AI is the kernel that powers that experience.”

More and more companies every day are adopting data analytics technologies and applying them to their marketing to optimize their products and create new ones, much like the case of Coca-Cola.

Disaster Response In The 21st Century: Big Data And IoT Save Lives

“Technology improves authorities ability to predict, prevent disasters”

Leveraging Big Data to predict, prepare, and prevent

Even before Harvey made landfall, organizations such as NASA, NOAA, and municipalities were using sensor data, surveillance and satellite imagery to predict not just where the storm was likely to impact, but also coordinate with first responders and law enforcement. This allowed them to identify staging locations, evacuation routes, likely flooding areas, etc., and to be prepared for the worst. Data collected from sensors and meters located throughout the region were mined and machine learning algorithms applied, in order to predict patterns and outcomes.

For example, clustering algorithms helped to determine the probability of where flooding would occur, and allowed agencies to devise a set of recommendations for evacuation routes, resource staging, and the identification of locations for shelters along these routes. The more data collected from past incidents, the more insight these agencies are forecast future behavior, using operations such as regression algorithms. This gives officials more detailed insight into potential problems before they happen, so they can allocate resources in a timely, data-driven manner. There is no doubt data mining played a critical role in the effectiveness of first responders which, in turn, led to a reduction in the loss of lives.

IoT sensors provide a huge potential platform for those that want to collect data. IoT is a fast growing market and with the right technology applied, it could provide extremely significant use cases. Not only is the data collected from these sensors helping preparations for hurricane Harvey as explained in this article, but they also have the ability to help with the aftermath. Smart IoT sensors applied across cities on their networks can alert them when certain areas are dealing with black-outs. During natural disasters like this one, some utility providers may be able to address affected areas with greater speed since they’ll be automatically notified on the statuses of effected areas.

Apple’s FaceID: Get ready for ‘big data’ to get even bigger

“Big Data cemented as trending up”

It’s not just Apple utilizing the benefits of biometric and behavioral authentication. Organizations are realizing the treasure trove of contextual insights and valuable information about customers that are available through sensor-based, ground-breaking technology.

Organizations use big data analytics to monitor the behavior of a consumer, or potential consumer. Insurance agencies can benefit from such data to assess everything from driving behavior or home settings to reduce in-home risks, to health risks based on daily habits and routines to detect anomalies. Healthcare organizations can perform remote monitoring, while the automotive industry can profile drivers via connected cars and autonomous vehicles. Even apps like Maps, Camera, Weather and Uber use location services to cater to users based on their location. Big data is getting bigger, but that’s not necessarily a bad thing.

Transparency will be key going forward. As people often don’t fully read through privacy statements because of their length and complexity, government mandates, such as the EU’s pending General Data Protection Regulation are beginning to require organizations to present privacy statements in a “clear, transparent, intelligible and easily accessible form — using clear and plain language.”

In this article, Dutt speaks on how organizations can gain valuable insights from Apple’s new FaceID sensor. He touches on one of the most talked about issues engulfing the world of big data today, privacy. Dutt explains that if Apple does intend to collect data using the facial recognition software, they should be as transparent as possible, using easy to understand clear language to avoid any issues regarding data protections. Although the data collected from this could bring incredible insights, it would be safe for Apple to proceed with the caution and transparency.

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Solution Providers, Security Needs

100 Most Promising Big Data Solution Providers 2017

“Data generation and utilization continues to grow by leaps and bounds and with it the investments in big data analytics solutions and services”

In present times, companies worldwide are starting to espouse newfangled big data technologies whereby they can establish viable partnerships, delve into new markets, and transform their businesses into a data-driven brand. This scenario is further getting augmented with the big data’s growing prominence in the development of artificial intelligence (AI) and deep learning applications. For the coming times, the increasing adoption of AI and machine learning alongside the spawning of IoT applications is going to be the key to success for data-driven enterprises.

The big data industry is growing larger and larger each day with the amount of information being collected and the potential insights it can deliver steadily growing. As the year comes to an end, CIO Review once again published their annual “100 Most Promising Big Data Solution Providers” list. In it, some of the biggest big data names of the year, including new companies that have delivered on new AI and deep learning applications that are made for big data solutions. It is clear that companies worldwide are jumping onto new innovations to provide the biggest value for their solution. A few notable listings include.

  • Cloudera
  • Hortonworks
  • MapR Technologies
  • Tableau Software
  • SAS institute

Big data in the UK Police Force

“Advanced uses of analytics to improve policing”

Among the numerous ways in which big data technology could be applied to UK policing, four are identified as key priorities by the report.

  • Predictive crime mapping: this ‘could be used to identify areas where crime is most likely to occur, allowing limited resources to be targeted most efficiently.
  • Predictive analytics: this ‘could also be used to identify the risks associated with particular individuals. This includes identifying individuals who are at increased risk of reoffending, as well as those at risk of going missing or becoming the victims of crime.’
  • Advanced analytics: this ‘could enable the police to harness the full potential of data collected through visual surveillance, such as CCTV images and automatic number plate recognition (ANPR) data.
  • Big data technology: this ‘could be applied to open-source data, such as that collected from social media, to gain a richer understanding of specific crime problems, which would ultimately inform the development of preventive policing strategies.

With new big data applications coming out everything, a common trend amongst consumers is the worry of what data should is being collected and how it is being utilized. Although the police force is seeing positive results from the use of big data analytics, it will be interesting to see the citizens’ response to the police force’s ability. However, as stated in the article, with the low number of officers available to the public, policing needs any technological help it can receive.

Big Data Needs Bigger Security

“The big data age has come, now we need security to back it up”

Last week, Equifax lost highly confidential personal and financial data on as many as 143 million people. The worst part? You didn’t even give them permission to obtain this information. They can legally collect, store and share it regardless.

Nearly two months after the breach, they are “letting consumers know” if they have been affected. You could supposedly go online to determine if your data was compromised, but that has already been exposed as a self-serving, non-functioning trick mostly aimed at providing “help” of only temporarily free services – profiteering from this breach in full view of all. Choosing paltry offers of either one year of free credit tracking or a one-time credit freeze, you had to also initially agree not to pursue legal action against them to obtain these fixes. What genuine contrition and offer of help does that constitute?

Big companies made “big data” happen. Now, “big security” must follow, despite the costs. Regulators and legislators need to remind them through coordinated actions that they can spend it now to protect us all in advance or pay it later in big fines when they don’t. But either way, they are going to pay. Otherwise, the only ones paying will be consumers.

With the ethical implications already being questioned regarding collected data without permission or knowledge of the consumer, the leaking of the unknown information is the cherry on top. As cyberattacks increase in potential threat and size everyday, corporations are in need now more than ever of the highest grades of cybersecurity. Consumers are becoming more weary of data protection, and it will be interesting to see how Equifax and other corporations will address their current implementations of security of data after this incident.

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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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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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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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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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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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