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LATEST DISCUSSION

15 Sep

Data Science Foundation Consultancy

Contact chris@datascience.foundation if you have a project you would like to discuss.Please pass this information on to colleagues and acquaintances who may be interested. Your support here is appreciated and will help the continued development of the Data Science Foundation.

15 Aug

Investing in AI: an overview

If you want to have an overview on the investors and accelerators who specifically invest only in AI, here there is a good resource for that:https://medium.com/@Francesco_AI/unsupervised-investments-ii-a-guide-to-ai-accelerators-and-incubators-4dc762d57c4b

05 Jul

Cryptocurrency Research and Discussion Group

Yes, I want to be a part of this discussion

05 Jul

Blockchain Research and Discussion Group

The Data Science Foundation is in the process of establishing a blockchain group to share research and discuss the latest developments. If you are interested in joining comment here or email chris@datascience.foundation

26 May

What You Need to Know about the EU’s 2018 General Data Protection Regulation

A great way to get in on the action.

25 May

No one is ready for GDPR

I read an article recently stating that no one is ready for GDPR, not even the regulators, This seems to be the case, despite a flurry of 'you have to give us more permissions' emails.https://www.theverge.com/2018/5/22/17378688/gdpr-general-data-protection-regulation-eu

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DATATALK ARTICLES

The Data Science Foundation is source of information on big data techniques and practices. We review and publish industry news, comment and white papers submitted by our members. We are recruiting editors and contributors to work with us on this site.

18 Sep

Is There Such Thing As Too Much Data?

In today’s business environment, data rules. Because it is used to determine every strategic move at each level of an organization, it makes sense that you should collect as much information as possible right? I argue that this is actually not the case! Like most things in life, too much of anything is bad- data included. The two major reasons why I argue this position are the paradox of choice and its causal relationship to analysis paralysis. If you have found yourself overwhelmed with a data set before and thought, “Where in the world do I even begin?” then this is the article for you. So grab a seat, pour yourself a cup of coffee, and get ready to never look at data the same way again. This article explores the idea that too much data can actually be detrimental to analysts.

15 Sep

Data Science Foundation Consultancy

We are making good progress towards launching a Data Science Foundation consultancy service and are pleased to show the branding associated with this venture.

11 Sep

Why AI Is More Important Than Ever

This article explains the rationale of why ML and AI are so important nowadays, as well as tackle a few relevant issues related to AI development.

26 Jun

Data Science Nomenclature for Managers

This article aims to explain few common concepts and terms in the data science world for an audience that is not as technical as an engineering one.

23 Jun

Alternative Mechanisms of Fundraising

This article describes the alternative mechanisms for doing fundraising nowadays and how Ai and blockchain are affecting this specific aspect of the business

14 Jun

Data will drive every decision brands make

We’ve seen a growing amount of complexity within the digital space in recent years; new mobile devices, new technologies such as virtual reality, the growth of the Internet of Things (IoT), major breakthroughs in the development of artificial intelligence (AI) and an increasing adaptation of machine learning across industries. With all that in mind, it’s clear that 2017 will be even more challenging for marketers than years prior.

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LATEST NEWS

Big Data in Healthcare Market is Expected to Reach US$ 17,278.13 Mn by 2022

20 October 2018

The Analysis presents the study of Global Big Data in Healthcare facilitating the regional and country wise analysis covering the strategic analysis of each market player and the market share they hold

Amazon is looking for a data scientist to study why health-care costs keep rising while employees aren't getting healthier

18 October 2018

Amazon is dropping some hints about the kind of skills the company is looking for in its health-care partnership with Berkshire Hathaway and J.P. Morgan.

DATA MINING TOOL FINDS $150 MILLION IN MEDICARE MISTAKES

10 October 2018

Pareto Intelligence, an analytics solution provider for healthcare organizations, has uncovered a multitude of data mistakes in government health care programs which, say the company, cost taxpayers more than $150 million in 2017.

Data mining reveals the hidden laws of evolution behind classical music

03 October 2018

Musicologists are beginning to uncover statistical patterns that govern how trends in musical composition have spread.

Real-time data processing with data streaming: new tools for a new era

29 September 2018

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage

Could AI and data mining technologies overcome issues in cultural heritage?

28 September 2018

Illustration of the challenges facing digital audiovisual archives, and the potential of new technologies, including AI, to overcome these challenges.

U.S. moves toward data-mining rules

27 September 2018

Congress is taking the first steps toward setting national rules governing how companies use consumers' data -- although one of its goals is seen as preventing states from enacting stronger privacy protections of their own.

THE TOP 10 DATA MINING TOOLS OF 2018

17 September 2018

Data is definitely priceless. But it is not a cake walk to analyze it as greater things come at a greater cost. With the exponential growth in data, there requires a process to extract meaningful information as conclude to useful insights.

Data Mining Engagement for a Traditional Chinese Medicine Company Helped Identify Anomalies in Datasets - Quantzig

14 September 2018

Data mining helps discover data patterns that help improve the quality of drug discovery and drug delivery methods

Artificial intelligence system uses transparent, human-like reasoning to solve problems

11 September 2018

Model from MIT Lincoln Laboratory Intelligence and Decision Technologies Group sets a new standard for understanding how a neural network makes decisions.

What Data Scientists Really Do According to 35 Data Scientists

08 September 2018

We now know how data science works, at least in the tech industry. First, data scientists lay a solid data foundation in order to perform robust analytics.

How Blossom Academy nurtures data science talent in West Africa

27 August 2018

Blossom Academy, a data science talent accelerator company in Ghana that recruits students from several West African universities to participate in its data science training program.

M&S aims to turn staff into data scientists

20 August 2018

Marks and Spencer is to open an academy that aims to turn staff from every function in the business into data scientists able to make the retailer more digitally savvy.

Introduction to Blockchain with Ethereum: NYC Data Science Academy Now Offers Course on Ethereum

12 August 2018

NYC Data Science Academy is now offering a course on blockchain. More specifically, a course targeting Ethereum and smart contracts.

Ethereum Plunged 15% Today to $305, What Will Happen to Alts and Tokens?

11 August 2018

The price of Ether, the native cryptocurrency of Ethereum, has fallen by 15 percent in the last 24 hours to $305, as other major cryptocurrencies like EOS fell 13 percent.

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whitepapers

AI and Insurance

18 October 2018 | Francesco Corea | A DSF White Paper

This paper is focusing on insurance and how AI is disrupting the sector. Starting from the conventional insurance process, we will move through specific novelties AI is introducing in the field to understand how insurance is completely changing the way people buy and think of insurance products. Finally, an eight-groups classification is proposed for the insurtech ecosystem.

Big data management: How Organizations Create and Implement Data Strategies

26 September 2018 | Francesco Corea | A DSF White Paper

Big data is often approached as a mere technical problem, while many times projects fail because of lack of strategic focus. Implementing the right process may help companies to efficiently run analytics works and for this reason, the paper proposes a few concepts that can support the organizational development of a big data blueprint. Three main ideas will be outlined here: the data lean approach, the maturity map, and different organization models for a data team.

Cryptocurrency A Quick Guide to Buying, Using and Investing

09 September 2018 | Chris Tomlinson | A DSF White Paper

Unless you’ve been living under that proverbial rock, you’ve at least heard of cryptocurrency – those digital, non-corporeal monetary units that have the world abuzz these days. Bitcoin is probably the most obvious such crypto coin, but there are plenty of others that have sprung up in the wake of bitcoin’s success, such as Ethereum and Ripple. However, chances are good that unless you’re a financial expert, and possibly even if you are such an expert, you’re not all that clear on what cryptocurrency is, how it works, the risks involved, or even why or how to accept it as payment. Within this guide, we’ll explore those topics and more to help you understand how to buy, use and invest with cryptocurrency. To many people, the term “cryptocurrency” might seem pretty self-explanatory, but if you take a deeper look at the subject, you’ll likely find that it’s more complicated than it might seem at first glance. After all, crypto coins have virtually nothing in common with traditional currency, other than acting as a store of value. Even that similarity can be questionable. So, what is a cryptocurrency?

A new Data Science Framework for Analysing and Mining Geospatial Big Data

20 August 2018 | Charith Silva | A DSF White Paper

Geospatial Big Data analytics are changing the way that businesses operate in many industries. Although a good number of research works have reported in the literature on geospatial data analytics and real-time data processing of large spatial data streams, only a few have addressed the full geospatial big data analytics project lifecycle and geospatial data science project lifecycle. Big data analysis differs from traditional data analysis primarily due to the volume, velocity and variety characteristics of the data being processed. One motivation in introducing a new framework is to address these big data analysis challenges. Geospatial data science projects differ from most traditional data analysis projects because they could be complex and in need of advanced technologies in comparison to the traditional data analysis projects. For this reason, it is essential to have a process to govern the project and ensure that the project participants are competent enough to carry on the process. To this end, this paper presents, new geospatial big data mining and machine learning framework for geospatial data acquisition, data fusion, data storing, managing, processing, analysing, visualising and modelling and evaluation. Having a good process for data analysis and clear guidelines for comprehensive analysis is always a plus point for any data science project. It also helps to predict required time and resources early in the process to get a clear idea of the business problem to be solved.

Investing in AI: an overview

10 August 2018 | Francesco Corea | A DSF White Paper

The hype about AI makes really difficult for experienced investors to understand where the real value and innovation are. I would like then to humbly try to bring some clarity to what is happening on the investment side of the artificial intelligence industry.

The Future of Artificial Intelligence in Retail

09 August 2018 | Karthik P.G | A DSF White Paper

The objective of this paper is to provide a comprehensive perspective on the advancements in the area of Artificial Intelligence and how the infusion of cognitive customer engagement can positively impact the infamously unpredictable consumer cyclical retail industry.

Understanding the Safety of Information Contained within Blockchains

16 July 2018 | Chris Tomlinson | A DSF White Paper

Data security has never been a more important consideration for consumers or for the businesses they patronize and partner with. It’s also never been more difficult to ensure. Every single day, consumers’ personal, health and financial information is at risk of theft. This can lead to identity theft, and to serious financial ramifications. While military-grade encryption on websites and through smartphone and tablet apps can be an important precaution, it’s just a Band-Aid. More must be done. Blockchains may hold the key to ensuring data security, but how does the technology that underpins bitcoin and other cryptocurrencies ensure data security for consumers and businesses?

Blockchain: A Technology Shift in Financial Services

16 July 2018 | Santosh Kumar | A DSF White Paper

Blockchains, a technology behind the success of cryptocurrency, symbolize an great application of cryptography and technology to one of the biggest problems of record-keeping for financial institutions, and they may create some far-reaching changes in method of transactions. Many big institutions of the industry had invested billions in the new technology, and many other industries have proposed new methods of transactions and ownership shift by use of the blockchains. This article studies the possible implications of the changes for stakeholders into the business like investors, employees, auditors, external shareholders, customers and other parties. The greater transparency, better transaction, accuracy, greater liquidity and lower cost offered by the technology may considerably turn over the uses and way of working of the industries.

13 Forecasts on Artificial Intelligence

29 June 2018 | Francesco Corea | A DSF White Paper

This article is about the future of AI. The following proposed list does not want to be either exhaustive or truth-in-stone, but it comes from a series of personal considerations that might be useful when thinking about the impact of AI on our world.

The Internet of Things and the Rise of Smart Cities

22 June 2018 | Chris Tomlinson | A DSF White Paper

Unless you’ve been stuck under that proverbial rock for a few years, you’ve at least heard of the Internet of Things (IoT) and how it is connecting us in new and interesting ways. The rise of the smart home is one way that the IoT is changing things for people around the world – homes filled with devices that can communicate with one another, with people living in the home, and even with outside third parties. However, this technology is not constrained just to our homes. It’s growing in terms of both scope and capabilities. Enter the smart city, where the Internet of Things will impact everything from lighting to the flow of traffic through urban centres

What You Need to Know about the EU’s 2018 General Data Protection Regulation

24 May 2018 | Summer Phillips | A DSF White Paper

Data is everything. In fact, thieves are now targeting consumer and business information rather than financial assets, simply because there is so much more value in data. Find out more about how GDPR is changing the way we all work with data in the midst of this Information age.

Solar Energy Portal Service using IoT

11 May 2018 | Vishwajeet Yadav | A DSF White Paper

Traditional sources of energy are in decline and the world is shifting towards renewable forms of energy. There are around 50 solar power plants in India. These power plants incorporate solar power grids, inverters, batteries and various sensors for monitoring and control. There is a requirement for efficiency and to detect system faults; to this end the data generated by sensors must be constantly monitored and analysed. With cloud service technology, solar grids sensors can be connected to remote monitoring facilities by utilizing Internet of Things (IOT) technology. The huge volumes of data produced by sensors is now manageable, and with Big Data techniques and MapReduce algorithm, it is not only possible to store and analyse data, but predict potential problems. This paper investigates ways to store, analyze and visualize the data produced by solar sensors.This paper aims to analyze following things: 1) Detecting Flaws in solar power plants/farms 2) Analyzing Power generated 3) Visualizing the results

Artificial Intelligence In Search of Protection

10 May 2018 | Francesco Corea | A DSF White Paper

This paper describes the advantages and costs of patenting, as well as what can be patented today in the AI domain and what instead needs or should be kept undisclosed.

AI in Financial Trading: White Paper

01 May 2018 | Kirill Goltsman | A DSF White Paper

With recent breakthroughs in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP), financial companies are beginning to pass the task of identifying and executing trades on to automated systems. Algorithmic Trading (AT), smart stock advisors, and ‘self-learning’ Reinforcement Learning (RL) agents now powerful tools in the financial decision-making process. In this white paper, we’ll discuss how financial companies can benefit from the ongoing AI revolution in their investment and technical analysis, portfolio management and diversification, and other important areas of investment decision-making. Hopefully, by the end of the paper, you’ll have a better understanding of how AI can boost a financial investment strategy.

Forecasts on AI

22 April 2018 | Francesco Corea | A DSF White Paper

This article provides a series of forecasts regarding the development of AI and robotics. We have discussed some AI topics in the previous posts, and it should seem now obvious the extraordinary disruptive impact AI had over the past few years. However, what everyone is now thinking of is where AI will be in five years time. I find it useful then to describe a few emerging trends we start seeing today, as well as make few predictions around machine learning future developments. The following proposed list does not want to be either exhaustive or truth-in-stone, but it comes from a series of personal considerations that might be useful when thinking about the impact of AI on our world. The interesting aspect of those is that are predictions made one year ago, and many turned out to be true.

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INFORMATION ON DATA SCIENCE

The Data Science Foundation is your source of information on big data techniques and practices. We review and publish industry news, comment and white papers submitted by our members. Our information includes various data science courses available and offered by different universities and online data science course administrators as well as information on data science training & certification. We are recruiting editors and contributors to work with us on this site. Get in touch.

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