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Data Talk Articles

24 Jan

Global AI & Big Data Expo London 17 - 18 March

The AI & Big Data Expo will be kicking 2020 off in style with the first of the AI & Big Data Expo’s three-part World Series taking place at Olympia in London. Opening its doors on the 17-18th March, the conference will bring 9,000 attendees from across the globe together exploring the latest developments within the AI and Big Data sector, as well as showcasing the latest technological developments. Read more

21 Jan

Submit your paper for the upcoming conference – limited speaking slots available!

Call for papers for the world’s foremost AI for Business event series The AI Summit, London’s ExCeL Center on June 10-11. This is your chance to join them as a speaker at this year’s show. Read more

15 Jan

AI & Automation Leaders’ Investment Priorities Revealed

Ahead of the Intelligent Automation Exchange USA on 3 - 4 March, the event organizers surveyed senior executives to find out their investment priorities for the next 6 - 12 months to get ahead of their competitors and to deliver for their businesses in 2020. Read more

14 Jan

Data Analytics: Typical Pre-Analytical Mistakes

No matter how accurate our analysis is, it has to be carried out on the basis of verifiable data sets that have been assembled and interpreted in accordance with the project requirements. This article discusses some of the most typical (as per my subjective point of view) pre-analytical mistakes. Read more

11 Jan

AI Doctor: Image Cognition and Ophthalmology

The name of AI doctor is sometimes misleading – it sounds like AI is intelligent enough and soon would take jobs away from doctors in the future. On the contrary, AI can be a good assistant for doctors and there is increasing demands from hospitals. --Read about the AI doctor project I took part in. Read more

30 Dec

Machine Learning Algorithm

Machine Learning Algorithm used most commonly and the Types of ML. Just a short-notes on these. Read more

30 Dec

Understanding why Machine Learning?

Before getting into the definition, let’s first understand why we need Machine Learning and how it came into existence. Read more

24 Dec

How to begin when you don’t know where to start on Machine Learning?

This article is on where to start with Machine Learning. Read more

17 Dec

Understanding the Big Data Challenges in User-Centred Design: The Big Data Variety will Keep Getting Bigger and Bigger

VARIETY is one dimension of data analysis that poses challenges that are often beyond technologies to ease. In the past, user expectations were significantly easier to identify. Ford’s saying that ‘’any customer could have any car painted any colour as long as it was black’’ was reflective of the user requirements and expectations. Today, it is no longer the case! Read more

30 Nov

AI Summit New York 11-12th December

The AI Summit New York will bring together an elite group of global change makers to the Javits Center. Change makers who are crushing the obstacles in the way of leveraging data and interpreting data, the world’s most valued resource. Over 150 speakers have already joined the roster, including, Google, Pepsico, Mastercard, Mount Sinai Health System, Sony Music Entertainment, Walmart, Actify Data Labs and more. Read more

WHITEPAPERS

24 Jan

ARK STACK DEPLOYMENT: AN INTEROPERABILITY SOLUTION FOR SEAMLESS BLOCKCHAIN ECOSYSTEM

Ark – a decentralized mechanism invented to increase user assumption of blockchain technology. Ark plans to make a whole environment of connected affixes by giving simple to utilize devices to send our own blockchain. Being versatile and adaptable, it enables items to be procured by the across the board and make the use of the technology easier to use.

31 Dec

BIG DATA ANALYTICS: IDEA, DATA TYPES AND REFERENCE ARCHITECTURE

Data Analytics is the study of breaking down information to change over data to helpful information. This information could assist us with understanding our reality better, and in numerous settings empower us to settle on better choices.

17 Dec

Blockchain Technology a Changing Face of Healthcare

Blockchain innovation has increased extensive consideration, with a raising enthusiasm for a plenty of various applications, going from information the board, money related administrations, digital security, IoT, and nourishment science to human services industry and mind examine. There has been a wonderful intrigue seen in utilization of blockchain for the conveyance of sheltered and secure human

01 Dec

AN OVERVIEW LIST OF FREE CYBERSECURITY TOOLS

Dr.S. Balakrishnan Professor and Head, Department of Computer Science and Business Systems, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India. With so many open source tools available to help with cybersecurity, it can be tricky to figure out where to start, especially if you are an IT generalist who has been tasked with security.

31 Oct

A QUICK INTRO OF BIG DATA VISUALIZATION TECHNIQUES AND TOOLS

For conventional Business Intelligence (BI), Data Visualization is useful: rather than glancing through a report with many lines, a business client can simply look at a diagram. For Big data, Visualization isn't only an advantageous component; rather it's an absolute necessity. Data Visualization techniques allude to the making of graphical portrayals of data.

21 Oct

Agent Based Internet of Things System in a Cloud Environment

In an Artificial Intelligence world, Agent-based technology is one of the most vibrant and important areas of R&D, emerging in the Information Technology in industry recent years. In Agent Based Cloud Computing, Intelligent Agent does Coordination, Integration, Mobility, Believable Agent and Assistance in achieving its expectancy.

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LATEST DISCUSSION

Digital Marketing Transition;

23 December 2019 | Priya Prakash

digital marketing analytics is a part of data science domain only , please be specific about your role as data scientist .

Ocean Protocol;

21 December 2019 | Sebastian Howler

Dear Scientist,I'm an enthuastic future seeker today I'm trying to gather some outside opinion on a project I'm fond of.It's a data marketplace, which will need curators, data cleaners, validators and of course sellers. The underlying idea is to allow AI modell to train on data without the data ever leaving the owner's property. So imagine training and validating a modell to indetify cancer cells from thousands of patients files without ever accessing the data. Or car manufacturares earning revenue by sharing their data with competitors and in the process never leaking any sensitive information. The team has extensive experience in handling Data their company is BigchainDB which launched Ocean Protocol to be a community based project. The founder Trent Mcconaghy has several patents and successfully built 2 other businesses before this. I would like to know what you guys think about this as I think trading data is going to be needed in the future. Are there any other initiative out there? Would you partake in a system like Ocean Protocol? They have dozens of developers and very active both on TG and Gitter. I'm not technically capable to answer questions but the team and the devs are. They are also running a challenge for developers to brainstorm and develop ideas and build marketplaces. The best ones will get rewarded dearly.The tech whitepaper would be a great place to start and also an article about the nature of the project.: https://blog.oceanprotocol.com/ocean-is-decentralized-orchestration-766b7538d08As far as token utility goes, I've always liked this article which explains the various ways in which it can be used (under the section Benefits): https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f

Blockchain Technology: a changing face of health care;

03 December 2019 | Santosh Kumar

Do you think ,Tele-medicine and e-wellness , or any such program can increase penetration of healthcare in developing countries? As a big portion of population are illiterate for such advance technology.

Computer vision Impact on Medical Treatment Topology;

24 November 2019 | ARUPRATAN BAGCHI

How can the privacy be maintained during the research?

Human Factor Research and Machine Learning;

22 November 2019 | Liyju Janardhan

OEMs spend too much conducting user trials of their products. AI in human factor research can help in reduce the spend. A ML model for different personas can to be created by learning from questionnaire. The design imperatives and the HMI attributes based on Norman's Visceral, Behavioral and Reflective aspects can be quantified. The model will rate the product based on the HMI attributes.

Herding sheep, Social Media and AI;

21 November 2019 | Liyju Janardhan

The herding anaimals tend to move in a one particular direction. There are sheepdogs who are in charge of herding the sheeps. The dogs analyze the state of a given herd and determine the best action to keep the sheep together while herding. These sheepdog think algorithmically. Social media discussion could be considered as herding sheep. Each of the smaller groups have a direction, right, left, centre etc. The dog algorithm could be employed to influence the group behavior. Machine Learning could be used to identify the groups and its direction and analyse the influence of sheepdog algorithm.

Medical Diagnostics and Machine Learning;

20 November 2019 | Liyju Janardhan

I agree on that. Who could store these? It's a risk of loosing privacy. And it could be used to develop better diagnostic I like this idea very much!I've currently came accross Ocean Protocol which is set out to make a marketplace for data. I think it could be interesting for you. I posted about it on this forum.

Influence of AI and Big Data in Medicine;

09 November 2019 | Santosh Kumar

Kindly suggest some paper or book for detailed reading

Is Informed Decisions Come from The Intersection of Data?;

21 October 2019 | Santosh Kumar

Decision making in the information to choices world analyzes the important instruments, steps and techniques for getting understanding from information and following up on it. These devices are valuable making educated individuals and procedures, yet the continuation and finish to choices and activities requests a hearty arrangement of execution observing and the executives rehearses. Those are the table stakes. By and large, utilization of choice robotization, semantic innovation and collective instruments are likewise required. Information to choices is tied in with moving from understanding to activity and moving to actuality based choices making at all degrees of the association.

Blockchain transform the education system;

21 October 2019 | Santosh Kumar

Education industry is a division that is similarly as significant as social insurance and account, and there are loads of regions inside this area that could be improved utilizing innovation. The market for education-tech is developing rapidly, and is assessed to reach $93.76 billion internationally by 2020. As of now, apparatuses like computer generated experience and customized learning with man-made consciousness are improving learning results for understudies at all levels. By looking to different ventures that right now use blockchain innovation, we can begin to make forecasts about how these systems could be utilized in an instructive setting. While the quantity of potential uses in instruction is huge, there are a not many that are the most energizing. Another blockchain stage that is rising in this space is chatbot application to assist understudies with test arrangement. It answers questions and prescribes assets while monitoring understudy progress in the blockchain.

Blockchain still an Alien;

09 October 2019 | Santosh Kumar

I don't think general masses are ready for the tech yet. I just posted about an interesting project in the space called Ocean Protocol check out the thread I'm intrested in your thoughts.

Leaders are made by Data Analytics;

09 October 2019 | Santosh Kumar

can read a good article from Mckinsey & Company in the regards for further detail

CROWDSOURCING BIG DATA ANALYTICS – IMPACT;

13 September 2019 | Balakrishnan Subramanian

Thank you Santosh

ABC’S OF SYSTEMIC APPROACH OF MACHINE LEARNING;

10 September 2019 | Balakrishnan Subramanian

The role of AI has been evolved from the Computer science to Business integration, some examples are Algorithm based trading in stock market . Al based recruitment system.

Why AI Is More Important Than Ever;

10 September 2019 | Francesco Corea

great post

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LATEST NEWS

The battle for ethical AI at the world’s biggest machine-learning conference

25 January 2020

Bias and the prospect of societal harm increasingly plague artificial-intelligence research — but it’s not clear who should be on the lookout for these problems.

Data science in GAD helps clients

15 January 2020

GAD uses data science to identify patterns, gain detailed insights and offer better advice to clients.

Artificial intelligence is helping us talk to animals. Yes, really

29 December 2019

AI has helped us decode ancient languages, and now researchers are turning the same technique to help understand our pets

Clear standards required for development and use of AI in healthcare

21 December 2019

With digital technologies set to irrevocably change the face of our healthcare systems, the ethical concerns surrounding the use of artificial intelligence (AI) are increasingly gaining prominence in policy circles.

Three ways data science is unbaking the cake

14 December 2019

Here are three ways data science is already doing the impossible

AI DEEMED ‘TOO DANGEROUS TO RELEASE’ MAKES IT OUT INTO THE WORLD

09 November 2019

Researchers had feared that the model, known as "GPT-2", was so powerful that it could be maliciously misused by everyone from politicians to scammers.

Opinion: Why we should be worried about artificial intelligence on Wall Street

02 November 2019

Until recently, artificial intelligence has struggled to gain a foothold on Wall Street. No longer.

What Can AI and Big Data Do for Finance?

23 October 2019

AI and big data represent the future of investing. Their broad application is likely to usher in perhaps the most significant change in the history of the industry. Why? Because with AI and big data: Analysts will be able to perform more thorough analysis. Portfolio managers will make better informed decisions.

This Technique Can Make It Easier for AI to Understand Videos

16 October 2019

A staggering amount of video is shared online. Researchers are teaching artificial intelligence to process more—while using less power.

McKinsey & Co. keeps hiring data scientists. This is how much it pays them

12 October 2019

If you're a data scientist and you don't want to work for a technology company or in finance or for a random corporate, there's another alternative. The big strategy consulting firms McKinsey & Co, Bain & Co, Boston Consulting Group have discovered data science and are going for data scientists in a big way.

BHF launches £10m national cardiovascular data science centre

09 October 2019

The British Heart Foundation (BHF) has launched a £10m national data science centre to drive new research into the prevention and treatment of cardiovascular disease.

IBM certifies a much-needed 140 data scientists for AI development

07 October 2019

Last year LinkedIn estimated 151K data scientist jobs went unfilled, and demand continues to outpace supply. Find out more about IBM's Data Science Apprenticeship program.

AI and ethics: The debate that needs to be had

16 September 2019

Like anything, frameworks and boundaries need to be set -- and artificial intelligence should be no different.

Me, myself and A.I. — should robots look like us?

14 September 2019

In Berkeley, California, little robots have been trundling along the city streets for the past year or so, delivering food to students. Most who see the wheeled boxes let them pass peacefully by or stop to take a photo.

Dangerous AI offers to write fake news

28 August 2019

An artificial intelligence system that generates realistic stories, poems and articles has been updated, with some claiming it is now almost as good as a human writer.

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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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