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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.

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LATEST NEWS

Artificial Intelligence Has A Problem With Bias, Here's How To Tackle It

29 January 2019

One of the problems in society that AI decision-making was meant to solve, was bias. After all, aren’t computers less likely to have inherent views on, for example, race, gender, and sexuality?

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Why Google, Infosys & Amazon Are Betting High On Open-Source AI Projects

23 January 2019

With applicability of artificial intelligence and machine language becoming pervasive across various sectors in India and around the world, noted tech giants are now open-sourcing more and more of their AI and ML projects.

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Enterprise AI: Biggest Moments Of Truth In 2019

18 January 2019

2018 was a year of reckoning for artificial intelligence (AI), proving that it's here to stay and will soon be all around us. Although the hype was at an all-time high, Deloitte’s State of AI in the Enterprise 2018 report showed that 82% of early adopters of AI saw positive ROI, and 63% adopted machine learning (ML) as a key technology in 2018.

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Turning Big Data to Smart Data: Emerging Opportunities -- Global Smart Data Market is Expected to Grow at a CAGR of 14% till 2022

15 January 2019

Unstructured Data/Big Data can be turned into Smart Data using data analytics tools that utilizes advanced artificial intelligence (AI) and machine learning (ML) algorithms

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20 Things to Know About Artificial Intelligence for Supply Chain Management

15 January 2019

Any device that can perceive its environment and takes actions that maximize its chance of success at some goal is engaged in some form of artificial intelligence

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10 Data Science Projects Most E-Commerce Businesses Are Using In India

15 January 2019

In this article, we list 10 important data science projects that every e-commerce is using to ensure healthy business.

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Americans want to regulate AI but don’t trust anyone to do it

12 January 2019

The public thinks that human-level AI is likely to cause more harm than good, a new report has shown.

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Ovarian cancer AI can tell how aggressive a woman’s tumour is

12 January 2019

Yinyin Yuan and colleagues at the Institute of Cancer Research in London built an AI to look for differences in tumour cell shape.

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Top Singaporean data scientists raise $6m from Sequoia India, Temasek for AI startup

09 January 2019

Basis AI announced today that it has raised S$8.2 million (US$6 million) in seed funding from high-profile investors Temasek and Sequoia India.

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Columbia professor uses data science to create personalized cancer therapies

07 January 2019

Columbia's Andrea Califano has developed a highly-predictive computer platform that can analyze all tumor types and predict which drug or drugs will be most effective in treating them.

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New reference values for cancer patients' quality of life

07 January 2019

For the first time, a group of researchers from Charité - Universitätsmedizin Berlin have determined general population quality of life normative data for 15 individual countries

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Data Science: What to Expect in 2019

02 January 2019

Data science is rapidly changing. New advances in AI and machine learning mean that data can be applied in brand new ways, and in unprecedented modeling systems, to do much more than was possible just a few years ago

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Meeshkan ML wins Slush and is now on Product Hunt!

20 December 2018

Meeshkan allows data science teams to train, test, and deploy ML models right from Slack. Meeshkan is free and can be installed into your Slack workspace in less than a minute. I have been following them for a while now and they are amazing, pushing forward the boundaries of ML development! Upvote them on Product Hunt and start using the platform! https://www.producthunt.com/posts/meeshkan-2

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DataCamp raises $25 million for customizable online data science courses

20 December 2018

According to LinkedIn, as of August 2018 in the U.S., the tech industry is experiencing a shortage exceeding 150,000 of people with data science skills. And with firms like IBM forecasting 28 percent growth in the number of AI- and analytics-related job listings, it’s a virtual certainty that corporate recruitment won’t get any easier in the months ahead.

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https://techcrunch.com/2018/12/19/dataiku-raises-101-million-for-its-collaborative-data-science-platform/?guccounter=1

20 December 2018

Dataiku wants to turn buzzwords into an actual service. The company has been focused on data tools for many years, before everybody started talking about big data, data science and machine learning.

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whitepapers

Fantastic (data)-Beasts and Where to Find Them: Data Scientists and Data Engineers

06 January 2019 | Francesco Corea | A DSF White Paper

This paper discusses the role of the data scientist, what a data scientist is, and the set of skills needed to become one.

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The Perfect Storm. How the Confluence of AI, Robotics Technology and Big Data Will Affect Human Employment

02 January 2019 | Chris Tomlinson | A DSF White Paper

Ultimately, the widespread adoption of automation and robotics, as well as the rise of artificial intelligence will have profound impacts on the world, particularly in terms of human employment and even the global economy, such as the questions asked by Martin Ford, in his book, Rise of the Robots. Martin Ford suggests the outlook is bleak for millions of workers who define their self-worth in terms of their employment. Increasingly workers will no longer be exploited by those in control of capital and intelligent machines, they will be irrelevant to them.

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AI and Insurance

18 October 2018 | Francesco Corea | A DSF White Paper

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

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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.

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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?

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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.

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Investing in AI: an overview

10 August 2018 | Francesco Corea | A DSF White Paper

The hype about AI makes it difficult for experienced investors to understand where the real value and innovation in the technology are to be found. This paper helps to bring some clarity to what is happening on the investment side of the artificial intelligence industry.

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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.

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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?

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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.

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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.

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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

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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.

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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

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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.

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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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