Alternative Data News. 26, June 2019

Finding sources and uses for alternative data can be difficult. At CloudQuant we regularly read and search the internet for new sources of data that can be used in our mission to find alpha signals and build quantitative trading strategies. We recognize that we are technology and data junkies so we wrote our own crawler that specifically seeks out web pages, posts, and news articles that give us a snapshot of what is going on in the world of Alt Data. The following is a collection of articles that we think you will find interesting from the past week.





Data-As-A-Service Bible: Everything You Wanted To Know About Running DaaS Companies


Data-As-A-Service Bible: Everything You Wanted To Know About Running DaaS Companies

“Just five years ago, only about 20 of the 11,000 hedge funds were making use of large amounts of alternative data. Today (2019 as of this writing) it is still only about 100 funds. But hundreds of funds are currently making the investment to get better at managing, ingesting, and using this data. So five years from now, it might be 500 funds. 500 is still only a fraction of the 11,000 funds … but it is a significant increase just in recent history.”

2019-06-18 15:44:50.456000+00:00 Read the full story.


CloudQuant Thoughts: The business of data is growing by leaps. Every day we talk to data providers about having their data on our backtesting service. The expected growth rate in Alt Data, Data Science, and data-driven companies is incredible.

  • Greenwich & Associate is saying that there will be a 50% Growth in Institutional Investors

  • Deloitte Center for Financial Services is saying that spending in this area will be $7B USD by 2020


The difficulty will be seeing if the institutional investors will be able to ingest and interpret the data in an efficient manner.

 





The ID Co. Join New FinTech Grouping To Promote Collaboration


The ID Co. are delighted to have joined a new partnership grouping designed to promote FinTech within the UK.

The FinTech Alliance has been designed in collaboration with the UK Government that brings together FinTech companies to explore, engage and do business.

They state:

“This will be the first ever community driven platform for the whole FinTech Industry, where all profits made will be reinvested back into the FinTech sector, provid…
2019-06-25 00:00:00 Read the full story.
Weighted Interest Score: 6.6155, Raw Interest Score: 1.6219,
Positive Sentiment: 0.6829, Negative Sentiment 0.0427




Global trading head at Nasdaq set to retire by end of the year


US exchange operator Nasdaq has confirmed that its head of global trading and market services is due to retire by the end of the year after more than a decade with the company.

Nasdaq confirmed in a statement that Tom Wittman will step down from his role by the end of 2019 and become an executive advisor reporting to Adena Friedman, CEO of Nasdaq, but will continue to manage the fixed income division for the rest of the year.

Wittman has led Na…
2019-06-25 10:58:20+01:00 Read the full story.
Weighted Interest Score: 6.1779, Raw Interest Score: 2.3534,
Positive Sentiment: 0.4129, Negative Sentiment 0.0000




Global AI in Financial Asset Management Market to 2025: Key Players are Genpact, IBM, Infosys, Synechron, Next IT, IPsoft, Lexalytics, & Narrative Science


DUBLIN, June 24, 2019 /PRNewswire/ — The “Global AI in Financial Asset Management Market – Drivers, Restraints, Opportunities, Trends, and Forecast up to 2025” report has been added to ResearchAndMarkets.com’s offering.

The Global AI in Financial Asset Management Market is Expected to Witness a CAGR of 33.84% to Reach Revenue of $11.39 Billion by 2025

In recent years, financial institutions are adopting the artificial intelligence (AI) technolo…
2019-06-24 21:35:55+00:00 Read the full story.
Weighted Interest Score: 5.5420, Raw Interest Score: 2.7251,
Positive Sentiment: 0.1217, Negative Sentiment 0.0243




How AI could shape the future of investment banking


Artificial intelligence (AI)’s potential is difficult to pin down. In a competitive market like investment banking every advantage is needed to come out on top in terms of profitability, lead generation and customer experience.

Yet according to a June 2018 survey from Greenwich Associates, just 17% of investment professionals are currently using artificial intelligence as part of their processes. 40% of respondents from the same report indicated…
2019-06-26 00:00:00 Read the full story.
Weighted Interest Score: 4.9108, Raw Interest Score: 2.2844,
Positive Sentiment: 0.2145, Negative Sentiment 0.2896




The quiet rock stars of hedge funds are data junkies, and they’re in such high demand that they’re navigating 30 back-to-back meetings in 48 hours


Roberto Jedreicich gets to the point.

The decision-maker on all things alternative data at Credit Suisse’s internal $650 million quant fund, QT, is flooded with pitches and meeting requests from new data vendors on the average day. But last week, at BattleFin’s Discovery Day in the opulent Plaza hotel in New York, it was more of a tsunami than a flood — he had 30 official 20-minute meetings in two days and dozens of unofficial ones.

So, with li…
2019-06-26 00:00:00 Read the full story.
Weighted Interest Score: 4.6324, Raw Interest Score: 1.8273,
Positive Sentiment: 0.0962, Negative Sentiment 0.1496




DataRobot Acquires MLOps Pioneer and Category Leader, ParallelM


helps organizations scale the deployment, management, and governance of machine learning in production using any ML platform on any cloud or on-premise environment. Despite the massive investments in data science teams, platforms, and infrastructure, as well as a dramatic increase in the number of active AI projects, the value derived from these investments is grossly lacking due to the inability to deploy AI models into production. According to industry analysts, only a small percentage of AI models make it into production, and the few AI models that do severely lack the necessary governance and monitori…
2019-06-25 07:05:49+00:00 Read the full story.
Weighted Interest Score: 4.0547, Raw Interest Score: 1.9827,
Positive Sentiment: 0.1525, Negative Sentiment 0.2542




Impact of Data Quality on Big Data Management


As the available industry literature suggests, Data Quality (DQ) is seriously hindering the success of many Big Data projects. However, it is apparent that without an organized movement in favor of Data Quality for Big Data, nothing will actually happen to change the current scenario.

In an interview with the CEO of Informatica, Anil Chakravarthy, reveals how the lack of DQ can inhibit innovation in information technology. The two major impedime…
2019-06-25 07:35:06+00:00 Read the full story.
Weighted Interest Score: 3.9689, Raw Interest Score: 2.3226,
Positive Sentiment: 0.2297, Negative Sentiment 0.4467




Resurgens Technology Partners invests in Mackey RMS


MackeyRMS, a provider of research management software, has secured a significant equity investment from Resurgens Technology Partners.

The partnership makes MackeyRMS the third FinTech investment in Resurgens’ USD200 million flagship private equity fund, and will enable the Company to accelerate investment in its market-leading software, expand its global presence and enhance the overall customer service experience.

MackeyRMS is a rapidly gro…
2019-06-26 00:00:00 Read the full story.
Weighted Interest Score: 3.8383, Raw Interest Score: 2.2518,
Positive Sentiment: 0.4606, Negative Sentiment 0.0512




Financial data specialist MX raises $100m


MX, a US outfit that promises to help banks, credit unions and fintechs use their data more effectively, has raised $100 million in a Series B funding round led by Battery Ventures.

HIG Growth Partners, Point72 Ventures, Sorenson Ventures, Pelion Venture Partners, and Cross Creek Capital joined the round alongside existing investors Industry Ventures, Digital Garage, TTV Capital, and Commerce Ventures, as well MX customers National Bank of Canad…
2019-06-25 15:47:00 Read the full story.
Weighted Interest Score: 3.7267, Raw Interest Score: 2.1295,
Positive Sentiment: 0.2662, Negative Sentiment 0.0887




Amazon researchers boost multilabel classification efficiency


Multilabel classifiers are the bedrock of autonomous cars, apps like Google Lens, and intelligent assistants from Amazon’s Alexa to Google Assistant. They map input data into multiple categories at once — classifying, say, a picture of the ocean as containing “sky” and “boats” but not “desert.”

In pursuit of more computationally efficient classifiers, scientists at Amazon’s Alexa AI division recently experimented with an approach they describe i…
2019-06-25 00:00:00 Read the full story.
Weighted Interest Score: 3.6325, Raw Interest Score: 1.7412,
Positive Sentiment: 0.2702, Negative Sentiment 0.2101




Nvidia’s new Data Science Workstation — a review and benchmark


The past several years have seen a massive surge in interest for Data Science, so much so that many companies are reorienting their business strategy and branding themselves as “data driven”.

There’s a good reason for this and it’s no secret: more data gives us bigger opportunities to extract insights and create bigger business value.

Big datasets require big computing power. You’ll need a good CPU, ideally with many cores like a Xeon type processor. Lots of RAM is a definite requirement — it’s not uncommon to see Data Scientists purchasing 64 or even 128GB of RAM, and sometimes t…
2019-06-26 13:36:08.862000+00:00 Read the full story.
Weighted Interest Score: 3.5518, Raw Interest Score: 1.7334,
Positive Sentiment: 0.2422, Negative Sentiment 0.0765




7 Fastest-Growing Job Roles In Data Science & How To Work Towards Them


In an industry that is experiencing a steady rate of job creation, data science itself has moved from just a buzzword to a strategic component in organisations. In addition to this, data scientists are increasingly taking on more strategic roles as organisations employ a product-centric view of data. It is a field that promises tremendous job growth and higher earning potential. Our latest research posits 97,000 jobs are available in this buzzing…
2019-06-25 08:26:19+00:00 Read the full story.
Weighted Interest Score: 3.5143, Raw Interest Score: 2.0860,
Positive Sentiment: 0.2049, Negative Sentiment 0.0559




Drooms strengthens AI capabilities with the appointment of new machine learning team lead


Drooms, a provider of secure cloud solutions in Europe, is expanding its expertise in the fields of machine learning and natural language processing with the appointment of Johannes Leveling as machine learning team lead. Leveling will report to Peter Made, Head of Development at Drooms.

Leveling has over two decades of professional experience in the fields of machine learning, machine translation, natural language processing and information ret…
2019-06-24 00:00:00 Read the full story.
Weighted Interest Score: 3.4673, Raw Interest Score: 2.1104,
Positive Sentiment: 0.3247, Negative Sentiment 0.0541




Experts Discuss Data Science and Machine Learning Best Practices


y having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value.

The challenges are numerous, from selecting data sets and data platforms, to architecting and optimizing data pipelines, and model training and deployment. In response, new solutions have emerged to deliver key capabilities in areas including visualization, self-service and real-time analytics.

Along with the rise of DataOps, greater collaboration and automation have been identified as key success factors.

DBTA recently held a webinar with Bethan…
2019-06-24 00:00:00 Read the full story.
Weighted Interest Score: 3.3909, Raw Interest Score: 1.8541,
Positive Sentiment: 0.2163, Negative Sentiment 0.1545




Creating A Data Culture Based On Data Transparency


(MDM) program is starting to break down silos and move the master data culture to another level of maturity.



With data ownership being spread across the Cigna organization and the customer master data team having over a 100+ stakeholders to deal with, the team needed a new way to handle data issues and accelerate resolution. The master data management team formed a governance forum to discuss data issues in the context of their data environment. The Customer MDM team working with data stewards and custodians approved a Core Customer Data policy, a set of business rules, a set of data rules, and a n…
2019-07-11 00:00:00 Read the full story.
Weighted Interest Score: 3.3486, Raw Interest Score: 1.9026,
Positive Sentiment: 0.0761, Negative Sentiment 0.0761




Kaggle Kernels Notebooks Now Offers BigQuery


enable robust workflows that can empower tomorrow’s data scientists to do their best work. Today, over 200,000 public scripts and notebooks exist on our platform, showcasing a plethora of remarkable data science projects. We want to help our community take these projects to the next level by extending the possibilities of what can be done in Kernels.



That is why we are excited to announce that, as of today, Kaggle has officially integrated into BigQuery, Google’s enterprise cloud data warehouse. In addition to our Python and R environments in Kernels, this integration opens up a third possibility to e…
2019-06-24 00:00:00 Read the full story.
Weighted Interest Score: 3.3166, Raw Interest Score: 1.5236,
Positive Sentiment: 0.2156, Negative Sentiment 0.0000




S&P Futures Dip Day After Record High


The S&P 500 Index (SPX) could be due to pull back today following a run to fresh highs on Thursday. Futures on the Dow Jones Industrial Average (DJI) and Nasdaq-100 Index (NDX) are below fair value, too, with some traders potentially already turning their focus to next week’s big G-20 meeting, where President Donald Trump is expected to meet with Chinese President Xi Jinping. Meanwhile, oil prices are on the rise again, as U.S.-Iran tensions rema…
2019-06-21 00:00:00 Read the full story.
Weighted Interest Score: 3.3160, Raw Interest Score: 1.6758,
Positive Sentiment: 0.1156, Negative Sentiment 0.2889




Tackling fast, hyper-connected data head on


As the speed, volume and complexity of data and regulation increases, how can financial service firms effectively keep up pace and remain competitive – all whilst mitigating rising costs across both people and technology?

Today, businesses using hyper-connected data are facing unprecedented digital disruption and regulatory pressures. Transparency, accuracy and timeliness burden the entire capital markets post-trade cycle, whereas openness, ex…
2019-06-25 00:00:00 Read the full story.
Weighted Interest Score: 3.3043, Raw Interest Score: 1.6521,
Positive Sentiment: 0.6310, Negative Sentiment 0.2524




7 Tips for Dealing With Small Data


7 Tips for Dealing With Small Data

Because more often than not, that’s what you’re gonna get.

Daniel Rothmann Blocked Unblock Follow Following Jun 25

We often hear that Big Data is the key to building successful machine learning projects.

This is a major problem: Many organizations won’t have the data you need.

How can we prototype and validate machine learning ideas without the most essential raw material? How can we efficiently obtain and …
2019-06-25 23:07:38.974000+00:00 Read the full story.
Weighted Interest Score: 3.2946, Raw Interest Score: 1.4463,
Positive Sentiment: 0.2028, Negative Sentiment 0.0541



US Bond Yields Resume Decline, Dollar Eases, Aussie Jumps


Summary: The Dollar eased further against most of its Rivals as US bond yields resumed their decline. Benchmark 10-year yields slipped back to 2.016% 92.05% yesterday). Despite a fall in German business confidence in June to the lowest in over 8 years, the Euro hit 3-month highs at 1.1404 (1.1370 yesterday). Sterling eased against the Greenback, bucking the trend, to 1.2737 from 1.2748. BBC News reported that leading UK Prime Minister candidate B…
2019-06-25 13:24:20+10:00 Read the full story.
Weighted Interest Score: 3.2838, Raw Interest Score: 1.8205,
Positive Sentiment: 0.1471, Negative Sentiment 0.4229




Grads Aiming for Finance IT Must Know Coding


Not long ago, students joining investment banks’ graduate programs were specialists in finance and economics, and busy studying the CFA Level 1 exam to get ahead. Now they’re more likely to be found learning Python in the evenings.

“There is pretty much no grad coming in now who doesn’t know how to code,” said Elly Hardwick, UBS’s new chief digital officer at the recent Women of Silicon Roundabout conference in London. “I don’t think any organiz…
2019-06-26 00:00:00 Read the full story.
Weighted Interest Score: 3.2305, Raw Interest Score: 1.7132,
Positive Sentiment: 0.0979, Negative Sentiment 0.1468




Tamr Launches Spring 2019 Release of Flagship Data Unification System


Tamr has announced the general availability of the Spring 2019 release of the company’s patented data unification system. Purpose-built to leverage machine learning, human knowledge, and—where appropriaterules to solve data integration challenges, Tamr enables organizations to create unified data assets that fuel analytic insights and operational improvements.

Initially conceived by Turing Award winner Michael Stonebraker and his co-inventors wh…
2019-06-18 00:00:00 Read the full story.
Weighted Interest Score: 3.1487, Raw Interest Score: 1.7477,
Positive Sentiment: 0.4939, Negative Sentiment 0.1140




What’s Ahead in Big Data and Analytics


SPECIAL DBTA ROUNDTABLE WEBINAR THURSDAY, DECEMBER 12 – 11:00 am PT / 2:00 pm ET

From data lakes and the cloud, to machine learning and artificial intelligence, the world of big data and analytics continues to evolve rapidly. The demand for fast access to information through better self-service capabilities is growing. At the same time, the need for improved governance and security practices is also intensifying. In response, leading organizatio…
2019-12-12 00:00:00 Read the full story.
Weighted Interest Score: 3.0952, Raw Interest Score: 1.8283,
Positive Sentiment: 0.7154, Negative Sentiment 0.1590




Power your Business Transformation with an Enterprise Data Cloud


nes of data for an enterprise data cloud. To be able to process and stream real-time data from multiple endpoints at the edge, while predicting key outcomes and applying machine learning on that same data set. To be able to take advantage of public cloud infrastructure for its elasticity and self-service capabilities. And to be able to do all of this on an open platform, where consistent security and governance policies are applied everywhere the data lives and analytics run….
2019-06-18 00:00:00 Read the full story.
Weighted Interest Score: 2.9795, Raw Interest Score: 2.0561,
Positive Sentiment: 0.7477, Negative Sentiment 0.0000




Everything you need to know about TensorFlow 2.0


Everything you need to know about TensorFlow 2.0

Keras-APIs, SavedModels, TensorBoard, Keras-Tuner and more.

Thalles Silva Blocked Unblock Follow Following Jun 26

On June 26 of 2019, I will be giving a TensorFlow (TF) 2.0 workshop at the PAPIs.io LATAM conference in São Paulo. Aside from the happiness of being representing Daitan as the workshop host, I am very happy to talk about TF 2.0.

The idea of the workshop is to highlight what has chan…
2019-06-26 12:01:01.508000+00:00 Read the full story.
Weighted Interest Score: 2.9733, Raw Interest Score: 1.3945,
Positive Sentiment: 0.1926, Negative Sentiment 0.1464




Book review – Python for Programmers, by Paul Deitel and Harvey Deitel


This is a book written while having in mind those who already have some object-oriented programming background but are willing to get into Python and (especially) Artificial Intelligence and Data Science.

Like two books in one:

Part 1) An introduction to Python, with a data science flavor

In the first half, it provides a quick introduction to the Python language that will be easy to follow by experienced programmers, while also introducing some basic data science topics. It covers the basics of the Python language, as well as data analysis essentials like dynamic data visualization with MatPlo…
2019-06-25 20:21:00+01:00 Read the full story.
Weighted Interest Score: 2.9331, Raw Interest Score: 1.6850,
Positive Sentiment: 0.1195, Negative Sentiment 0.1195




Wealthtech Week in Review (6/24/19)


June 24, 2019

By Vasyl Soloshchuk/INSART

PitchBook’s Platform was named Best Financial & Market Data Solution of 2019. Broadridge launched a change management service to help companies be compliant with Securities Financing Transactions Regulation (SFTR).

Entreda commenced the formation of its Advisory Board. Mike Reynolds joined Absolute Engagement as president after a successful career at TD Wealth.

CAIS is partnering with Private Client Re…
2019-06-24 14:26:38+00:00 Read the full story.
Weighted Interest Score: 2.9164, Raw Interest Score: 1.8966,
Positive Sentiment: 0.2684, Negative Sentiment 0.0179




What Facebook’s new currency means for the banking system


C ONSUMERS WILL probably view holding Facebook’s new currency, Libra, as an alternative to putting money in the bank. If they see it as an attractive alternative, Libras could proliferate. If every Westerner held in Libra an amount equal to one-tenth of their bank deposits today, the new currency outstanding would be worth over $2trn. How worried should banks be?

At first pass, Libra looks like a banking system of sorts. The “Libra Reserve” will…
2019-06-20 00:00:00 Read the full story.
Weighted Interest Score: 2.9134, Raw Interest Score: 1.8201,
Positive Sentiment: 0.1055, Negative Sentiment 0.1846




Deep Dive into Catboost Functionalities for Model Interpretation


As Data Scientists, we can easily train models and make predictions, but, we often fail to understand what’s happening inside those fancy algorithms. This is one of the reasons why we see a huge difference in model performance between offline evaluation and final production. It is high time we stop treating ML as a “black box” and give importance to model interpretation while improving model accuracy. This will also help us in identifying data bi…
2019-06-24 20:11:04.471000+00:00 Read the full story.
Weighted Interest Score: 2.9019, Raw Interest Score: 1.4245,
Positive Sentiment: 0.1983, Negative Sentiment 0.2164




How Data Analytics Is Changing The Insurance Industry


The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The journal Risk Management and Insurance Review mentions that historically, in the latter half of the twentieth century, the analysis of trends was the primary driver in determining risk in the insurance business. While it might not take a mountain of data to spot a pat…
2019-06-26 11:30:13+00:00 Read the full story.
Weighted Interest Score: 2.7534, Raw Interest Score: 1.8450,
Positive Sentiment: 0.2998, Negative Sentiment 0.1614




The Complete Guide to Classification in Python


The Complete Guide to Classification in Python

Marco Peixeiro Blocked Unblock Follow Following Jun 26

Dive deep into the inner workings of logistic regression, LDA, and QDA, and implement each algorithm in a project setting.

Introduction

This article serves as a reference for both simple and complex classification problems. By “simple”, we designate a binary classification problem where a clear linear boundary exists between both classes. Mor…
2019-06-26 13:01:01.421000+00:00 Read the full story.
Weighted Interest Score: 2.7049, Raw Interest Score: 1.2694,
Positive Sentiment: 0.1500, Negative Sentiment 0.2571




Why a Platform Business Model is key to accelerating Top Line Growth at Financial Services


The titans of the banking industry need to set aggressive aspirational goals and execute upon strategic platform building capabilities to grow top line revenues, take their business beyond their core capabilities and compete with digital native platform companies that are moving into the banking domain. Platform business models pioneered by technology companies like Amazon and Google are having a significant impact on traditional banks and asset …
2019-06-26 12:14:03 Read the full story.
Weighted Interest Score: 2.6919, Raw Interest Score: 1.6027,
Positive Sentiment: 0.2290, Negative Sentiment 0.1002




Artificial intelligence and talent management to drive the evolution of buy-side strategies


Supurna VedBrat, global head of trading at BlackRock, identified the emergence of data science and artificial intelligence (AI) as key elements to the next phase of buy-side trading operations for fixed income.

Speaking to Billy Hult, president of Tradeweb, as part of a fireside chat at this year’s Fixed Income Leaders Summit US conference, VedBrat opined that due to the changing nature of the fixed income ecosystem, these differentiators would …
2019-06-20 18:54:16+01:00 Read the full story.
Weighted Interest Score: 2.6316, Raw Interest Score: 1.3333,
Positive Sentiment: 0.4444, Negative Sentiment 0.0000




Artificial Intelligence in Supply Chain Management


Artificial Intelligence in Supply Chain Management

Utilizing data to drive operational performance

Vegard Flovik Blocked Unblock Follow Following Jun 23

Supply chain management (SCM) is critical in almost every industry today. Still, despite the importance, it hasn`t received the same amount of focus from AI startups and vendors as many other domains. However, given the vast amounts of data collected by industrial logistics, transportation and…
2019-06-23 21:30:18.657000+00:00 Read the full story.
Weighted Interest Score: 2.5826, Raw Interest Score: 1.4283,
Positive Sentiment: 0.2484, Negative Sentiment 0.0828




Overcoming Data Integration and Governance Challenges


THURSDAY, JUNE 27 – 11:00 am PT / 2:00 pm ET

The proliferation of data sources, types, and stores is increasing the challenge of combining data into meaningful, valuable information. The need for faster and smarter data integration capabilities is growing. At the same time, to deliver business value, people need information they can trust to act on, so balancing governance is absolutely critical nowadays, especially with new regulations.



To highlight the key technologies…
2019-06-27 00:00:00 Read the full story.
Weighted Interest Score: 2.5664, Raw Interest Score: 1.9469,
Positive Sentiment: 0.1770, Negative Sentiment 0.5310




SIX, SimCorp Partner on Securities Monitoring


SIX partners with SimCorp for Sanctioned Securities Monitoring Service

Swiss financial data expert SIX has announced a partnership with SimCorp, centred on its Sanctioned Securities Monitoring Service, to give financial institutions greater global sanctions data coverage.

In an increasingly complex geopolitical world, staying on top of the myriad of continually evolving sanctions has proved a challenge for compliance officers globally. The partnership between SIX and SimCorp, aims to a…
2019-06-24 13:05:04+00:00 Read the full story.
Weighted Interest Score: 2.5387, Raw Interest Score: 1.4882,
Positive Sentiment: 0.2626, Negative Sentiment 0.1751




Supporting Modern Applications: Data Management for Speed & Scale


SPECIAL DBTA ROUNDTABLE WEBINAR THURSDAY, OCTOBER 24 – 11:00 am PT / 2:00 pm ET

Today, more than ever, businesses rely on data to deliver a competitive edge. From startups to Fortune 100 companies, success means increasing efficiency, agility and innovation through better collaboration, visibility and performance. However, as applications continue to grow in scale and complexity, so does the challenge of supporting them. From high-volume transac…
2019-10-24 00:00:00 Read the full story.
Weighted Interest Score: 2.4812, Raw Interest Score: 1.6541,
Positive Sentiment: 0.6767, Negative Sentiment 0.1504




An Intro to Deep Learning for Face Recognition


What is face recognition? What is deep learning? Most importantly, what power these two can bring together?

If you think this is too many questions for one article, hold on, I can change your mind. In this post, I have done my best to showcase all important concepts and typically make an easy and comprehensive manual for everyone. So all-in-all, I will distribute an explanation of how face recognition works, along with the Deep Learning technolo…
2019-06-26 13:35:13.392000+00:00 Read the full story.
Weighted Interest Score: 2.4783, Raw Interest Score: 1.5659,
Positive Sentiment: 0.2392, Negative Sentiment 0.0942




How to Be a Great Data Scientist – Dataquest


You put in the time learning the skills, you took the right approach to your job applications, and now you’ve found yourself with a job in data science. That’s great! But now that you’ve got that job, how do you keep it and excel at it? How can you prove your value as a great data scientist?

That’s a question that isn’t always as easy as it sounds. Having the skills is key, but a successful data scientist also needs to know how those skills can …
2019-06-20 19:20:14+00:00 Read the full story.
Weighted Interest Score: 2.4386, Raw Interest Score: 1.3429,
Positive Sentiment: 0.3594, Negative Sentiment 0.1986




Introducing TensorWatch: Microsoft Research New Tool for Debugging Deep Learning Programs


Introducing TensorWatch: Microsoft Research New Tool for Debugging Deep Learning Programs

Jesus Rodriguez Blocked Unblock Follow Following Jun 26

Debugging is one of the most difficult aspects in the lifecycle of deep learning problems. The recent advancements in deep learning frameworks have lowered the entry point for creating really sophisticated models that are both effective and hard to interpret at the same time. Very often, researchers n…
2019-06-26 12:48:35.296000+00:00 Read the full story.
Weighted Interest Score: 2.4199, Raw Interest Score: 1.3961,
Positive Sentiment: 0.2127, Negative Sentiment 0.1994




What Kind Of Shareholders Own Reliance Communications Limited (NSE:RCOM)?


Want to participate in a short research study? Help shape the future of investing tools and you could win a $250 gift card!

A look at the shareholders of Reliance Communications Limited (NSE:RCOM) can tell us which group is most powerful. Generally speaking, as a company grows, institutions will increase their ownership. Conversely, insiders often decrease their ownership over time. Companies that have been privatized tend to have low insider ow…
2019-06-25 18:42:54+10:00 Read the full story.
Weighted Interest Score: 2.3882, Raw Interest Score: 1.5966,
Positive Sentiment: 0.1213, Negative Sentiment 0.0808




South African SME finance startup Lulalend raises $6.5M Series A – TechCrunch


rocess and internal credit metrics to provide short-term loans to small and medium sized businesses that are often unable to obtain working capital.

Lulalend will use the round to build its tech and data team and improve its ability to reach more SMEs in South Africa, according CEO Trevor Gosling—who co-founded the startup in 2014 with Neil Welman.

“The biggest thing is strengthening our balance sheet so we can access traditional debt funding to grow our loan book,” Gosling told TechCrunch on a call.

On the market for Lulalend’s business, Gosling highlighted IFC numbers indicating a $23 billion fina…
2019-06-26 00:00:00 Read the full story.
Weighted Interest Score: 2.3339, Raw Interest Score: 1.3850,
Positive Sentiment: 0.2308, Negative Sentiment 0.0513




Wink to Report Indexed Product Sales by Index


s: Wink Inc. says it will be offering an index-based sales report.

(Related: Annuity Index War May Reveal a Data Gap)

The Des Moines, Iowa-based company has been publishing life and annuity product sales data since 1997.

In recent years, consumer groups, policymakers and some financial professionals have complained about the difficulty of getting complete, detailed, standardized information for some indexes.

Critics have argued that, in some cases, issuers might be using consumers’ difficulties with understanding and comparing indexes to avoid having to include the actual or potential impact of the …
2019-06-24 00:00:00 Read the full story.
Weighted Interest Score: 2.2572, Raw Interest Score: 1.8468,
Positive Sentiment: 0.0684, Negative Sentiment 0.3420




How Successful Data Scientists Use Task-Batching To Maximising Productivity


Data science without a doubt one of the most rapidly growing domains in the tech industry. However, the domain is not something that anyone can work in — one needs to have tremendous skills, knowledge and staying power to deal with the daily hustle and bustle. Whether it’s about extracting the exact insight or it’s about building that ultimate model, a data scientist puts in a significant amount of effort on …
2019-06-26 06:54:34+00:00 Read the full story.
Weighted Interest Score: 2.1330, Raw Interest Score: 1.3532,
Positive Sentiment: 0.2523, Negative Sentiment 0.2982




Data Governance and Data Architecture: There is No Silver Bullet


In terms of a market perspective, Data Governance has increased in visibility partly because of the increase in security breaches, data security issues, and compliance requirements for various industry regulations. To secure and manage data properly, it helps to manage it at a higher level and know which of your data is sensitive in the first place. Having the foundation of a solid Data Architecture is fundamental, because without it, Data Govern…
2019-06-18 07:35:53+00:00 Read the full story.
Weighted Interest Score: 2.1304, Raw Interest Score: 1.3096,
Positive Sentiment: 0.1476, Negative Sentiment 0.1845




Lennar’s stock swings sharply lower as weak outlook overshadows earnings beat


Shares of Lennar Corp. turned around into negative territory Tuesday, as a weak third-quarter outlook unveiled in a midday conference call with analysts overshadowed big earnings and revenue beats reported before the open.

The home builder’s stock LEN, -2.26% had initially rallied as much as 6.4% in premarket trading, and was up as much as 3.6% moments after the opening bell, after Lennar reported fiscal second-quarter results that were well abo…
2019-06-25 00:00:00 Read the full story.
Weighted Interest Score: 2.1289, Raw Interest Score: 1.2486,
Positive Sentiment: 0.1703, Negative Sentiment 0.1986




Why is Data Integration So Hard Now? (VIDEO)


Video produced by Steve Nathans-Kelly

As data flows into organizations from a previously unimaginable array of sources and at greater speed and volume than ever before, the challenges of cleaning, deduplicating, and integrating data are also increasing

At Data Summit 2019, Pythian’s Danil Zburivsky considered the question of why data integration is so hard today in a presentation titled, “Dismantling Data Silos Through Cloud Integration.”

DBTA…
2019-06-25 00:00:00 Read the full story.
Weighted Interest Score: 1.9752, Raw Interest Score: 1.0844,
Positive Sentiment: 0.0775, Negative Sentiment 0.3098




Going for Golden Copy: Tips for Improving Your Master Data Management


till talking about why reference data seems like such a difficult nut to crack.

There are reasons. At the highest level, organizations usually break data down into two categories: reference data and transaction data. Reference data goes by a variety of names — master data, reference data, “static” data (which is anything but), golden copy, single source of truth (SSOT) — but they all refer to the set of information an organization needs to refer to in order to operate on a day-to-day basis. Transactional data, on the other hand, describes the ongoing events of an organization. It’s bigger, and while errors a…
2019-06-24 07:35:32+00:00 Read the full story.
Weighted Interest Score: 1.9455, Raw Interest Score: 1.1997,
Positive Sentiment: 0.3729, Negative Sentiment 0.2594




The Advisor Compliance Issue That’s Bigger Than Reg BI


Beth Haddock

The biggest compliance issue facing advisors isn’t Reg BI. It’s cybersecurity. Protecting clients’ and firms’ confidential information from a nightmare breach is critical — and urgent, says attorney and compliance expert Beth Haddock in an interview with ThinkAdvisor.

A 20-year-plus veteran of running big firms’ compliance departments, she has helmed her own compliance consultancy, Warburton Advisers, in New York City since 2014.


2019-06-21 00:00:00 Read the full story.
Weighted Interest Score: 1.8982, Raw Interest Score: 1.1006,
Positive Sentiment: 0.1424, Negative Sentiment 0.1813




EURUSD Stops at 1.14, BTC Continues Higher and Traders turn Focus to G20 Meeting in Osaka Japan


Asian indices finished lower today as traders focus turn to G20 meeting in Osaka, Japan. The Nikkei225 finished 0.43 percent lower to 21,193; the Hang Seng benchmark in Hong Kong, finished 1.15 percent lower at 28,185. The Shanghai Composite finished 0.87 percent lower to 2,982, while in Singapore, the FTSE Straits Times index finished 0.21 percent lower to 3,304. Australian equities finished lower today with the ASX200 down 7 points or 0.1 perce…
2019-06-25 20:08:52+10:00 Read the full story.
Weighted Interest Score: 1.8749, Raw Interest Score: 1.4376,
Positive Sentiment: 0.1057, Negative Sentiment 0.0634




10 Mobile Apps All Data Scientist Should Have On Their Smartphones


Being one of the highest paying job roles, the data science domain involves complex computations. And because of that, a data scientist is always stuck to his/her laptop. The professionals are becoming so used to their laptops and computers that they tend to stick to them even for some of the things that can be done on a smartphone.

Here are some of the key apps that will make any data scientist’s life easier and more portable:

MOOC Apps

Data science i…
2019-06-26 11:29:30+00:00 Read the full story.
Weighted Interest Score: 1.8337, Raw Interest Score: 1.2711,
Positive Sentiment: 0.4376, Negative Sentiment 0.1250


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