AI & Machine Learning News. 19, August 2019

News clippings are provided algorithmically with CloudQuant’s NLP engine which seeks out articles relevant to our community.


Towards Data Science Weekly Selection — August 16, 2019

  • The most powerful idea in data science – A quick fix for separating red herrings from useful patterns
  • Useful String Methods in Python – Learn about some of Python’s built-in methods that can be used on strings
  • AI discovers the heart beat in your face = A medium-depth dive into technology that reads vital signs from video
  • 4 Tips for Advanced Feature Engineering and Preprocessing – Techniques for creating new features, detecting outliers, handling imbalanced data, and impute missing values.
  • Architecting For The -ilities – 6 Essential Software Qualities
  • Building a Vocal Emotion Sensor with Deep Learning – Teaching machines to better understand human communication
  • The Natural Roots of Artificial Intelligence – The challenge in establishing a common understanding of AI hearkens back to debates over the nature of intelligence.
  • You Are What You Tweet – Detecting Depression in Social Media via Twitter Usage

2019-08-16  Read the full story…
CloudQuant Thoughts… Always one of our favorites and worthy of top spot on a regular basis.

U.S., China Jockey for AI ‘Lead’

The U.S. is maintaining its lead in AI development as China hustles and spends to catch up, outpacing its rivals in areas like AI funding, adoption and access to data. Still, a report released this week by the Center for Data Innovation finds the U.S. remains the clear leader in key categories such as R&D, “talent” and hardware development. China still trails the U.S. despite heavy investment, with the European Union trailing, paying what the report said is an “economic price [by] staying on the sidelines” of the AI race.

The current American lead in AI development stems largely from a vibrant AI startup community that has attracted heavy venture capital and private equity investment. Another key contributor is the huge U.S. lead in AI chip development by Nvidia (NASDAQ: NVDA) and other chip startups. For example, Cerebras Systems unveiled a dinner plate-sized “wafer scale engine” on Monday (Aug. 19) aimed at accelerating AI processing.

2019-08-19 00:00:00 Read the full story…
Weighted Interest Score: 5.9075, Raw Interest Score: 2.3642,
Positive Sentiment: 0.3018, Negative Sentiment 0.1761

CloudQuant Thoughts… Whilst the US AI talent is considered ‘Elite’ the Chinese are catching up fast. Those who prefer a free democratic system can only hope that the US prevails.

Bloomberg Uses Predictive Intelligence in Corporate Credit

Bloomberg announced the launch of Early Alerts, a ground breaking predictive model built by Bloomberg’s Enterprise Data business and available for analyzing the likelihood for future shifts in corporate credit spreads.

Early Alerts is a data driven output that uses Bloomberg’s proprietary library of fixed income data in concert with machine learning models to develop predictive insights that offer market participants an edge in an increasingly competitive market. The solution analyzes over 16,000 USD denominated corporate investment grade and high yield securities, providing scores over 1-day, 5-day, and 20-day horizons. The scores provide Bloomberg clients with valuable insight and an estimate for the likelihood a corporate security will undergo a significant credit spread tightening or widening over a specific time horizon – the higher the score, the greater the modeled probability.

2019-08-15 08:07:56+00:00 Read the full story…
Weighted Interest Score: 4.9273, Raw Interest Score: 2.7243,
Positive Sentiment: 0.3758, Negative Sentiment 0.1409

CloudQuant Thoughts… It should not be surprising that a company like Bloomberg, with their terminals ubiquitous in the trading industry, would begin to provide a service like this. We will have to wait and see just how effective it is. The field is still wide open for newcomers to disrupt in this environment.

Ideas on pricing alternative data – Cuemacro

We all know fizzy drinks are awful. They’re acidic, thanks to all the CO2. They are usually packed with copious amounts of sugar. Your teeth are unlikely to be fans of either carbonic acid or sugar. Fizzy drinks make it very easy to ingest large amounts of sugar very quickly in a few gulps, which isn’t good for you. Despite all this, I admit that I do drink Coca-Cola every so often, because it tastes good! In pretty much every vending machine I’ve used, there is something I’ve noticed. Coca-Cola is nearly always more expensive than Diet Coke, whether it’s in the US or Europe. Usually it’s something like 10 cents more. People clearly like Coca-Cola more than Diet Coke. One explanation is that, whilst Diet Coke doesn’t have sugar, it also tastes absolutely awful (I realise I may well get critical comments for this incredibly valid observation). I assume that the additional demand for Coca-Cola, means the manufacturer can charge more.

Fizzy drinks are commoditised items. Hence, for pricing there are likely to be billions of transactions and a huge amount of data. There are many other types of similar drinks (Pepsi!), which keeps price levels in a range. It is likely that there are lots of seasonal patterns in the data to help understand how much to supply to the market. Financial markets are all about pricing. What do you think an asset should be worth? Too cheap, buy it. Too expensive, sell it. There’s a market because everyone has different views on what the price should be. One of the main drivers for trading in markets is the use of data. Some of this data is very commoditised and there is a big data market. However, when it comes to alternative data, it is extremely difficult to know how to price it.
2019-08-17 00:00:00 Read the full story…
Weighted Interest Score: 4.6689, Raw Interest Score: 1.2080,
Positive Sentiment: 0.1658, Negative Sentiment 0.1658

CloudQuant Thoughts… How alternative data is priced, how one sorts the wheat from the chaff, how a data scientist can easily review an alternative dataset when its structure “WILL” be different from any other data they have ingested is the current major issue in data science. At CloudQuant we are working hard on delivering the solutions. The easy way to find the data you want, in a format you can use, with demonstrable impact that includes code which you can inspect and re-run at your leisure. Watch this space.

Neueda and Levyx bring Python into big data era

Capital Markets technology specialist Neueda has partnered with Levyx Inc, a big data system software provider, to vastly increase data processing capacity for the Python community. Through the new Helium-Python interface, Neueda and Levyx have significantly increased Python’s utility, offering increased efficiency and effectiveness to users within financial markets and beyond. 2019-08-16 00:00:00 Read the full story…
Weighted Interest Score: 4.5455, Raw Interest Score: 2.0116,
Positive Sentiment: 0.4235, Negative Sentiment 0.0529

Neueda Increases Data Processing for Python Users With Levyx

Neueda has partnered with big data system software provider, Levyx, to increase data processing capacity for the Python community of users within financial markets and beyond.

2019-08-18 00:28:37+10:00 Read the full story…
Weighted Interest Score: 4.4826, Raw Interest Score: 2.2204,
Positive Sentiment: 0.3770, Negative Sentiment 0.0838

CloudQuant Thoughts… Big data, Data Lakes, Data Seas… the data just keeps growing, providing a solution to the problem of data that is growing more rapidly than the memory available to our Python applications is essential. I am very excited by the quote “We have connected Levyx’s Helium data store into Python to create a new dictionary object that can extend to many Terabytes on a single server.”! WOW!

Calypso and 2021.AI team up to leverage AI in financial institutions

Calypso Technology Inc. and 2021.AI are joining forces in a new partnership with the aim of optimizing back-office processes for Calypso’s global client base. Combining their distinctive competencies by delivering state-of-the-art AI models and with access to 2021.AI’s Grace AI platform, Calypso continues to offer the best solutions to their clients while remaining at the forefront of the latest technologies.

AI is a growing presence in the Fi…
2019-08-14 00:00:00 Read the full story…
Weighted Interest Score: 6.4991, Raw Interest Score: 2.3493,
Positive Sentiment: 0.4746, Negative Sentiment 0.1424

An Introductory Guide To Time Series Forecasting –

Time Series data is one of the most common types of data that is available today. The data can be about how a person’s salary changes over the years, it can be about how the value of INR compares to other currencies over a period of time — everything that changes with time forms Time-Series.

In this article, we will understand what is Time-Series Forecasting and will look into some basic terminologies we use while performing a Time-Series Analys…
2019-08-19 03:51:25+00:00 Read the full story…
Weighted Interest Score: 4.5245, Raw Interest Score: 3.1429,
Positive Sentiment: 0.1099, Negative Sentiment 0.1538

Banking Can No Longer Ignore The Power of AI

One of the most important components of digital transformation is the ability for machines and analytics to work together to deliver more intelligent solutions than humans alone can deliver. The foundation of this transformation leveraging internal and external data sources, placing the customer – instead of products and solutions – at the center of customer experiences. The success of these efforts will define the winners and losers in the future.

In an effort to determine how frontrunners are deploying AI, the Deloitte Center for Financial Services surveyed more than 200 financial services executives who were already using AI technology. Their research identified three key characteristics of those organization who have seen the best results from the perspective of financial returns from AI and the number of AI deployments.
2019-08-19 00:04:11+00:00 Read the full story…
Weighted Interest Score: 4.4360, Raw Interest Score: 1.8780,
Positive Sentiment: 0.5294, Negative Sentiment 0.0504

Programmers of the Future Will Collect, Clean and Manipulate the Data Feeding the AI of the Application

By AI Trends Staff

Now machine learning is seen as the new way forward in software development. It is seen as potentially able to take the programming out of programming.

Google research engineer Peter Warden said, “In 10 years, I predict most software jobs won’t involve programming,” in a recent article in TopBots.

Waterfall software development, also called the Systems Development Life Cycle (SDLC), entailed a programmer using a la…
2019-08-15 19:10:03+00:00 Read the full story…
Weighted Interest Score: 4.3633, Raw Interest Score: 2.3115,
Positive Sentiment: 0.1926, Negative Sentiment 0.1101

So You Want to be a Machine Learning Engineer?

Ideally, a machine learning engineer would have both the skills of a software engineer and the experience of a data scientist and data engineer. However, data scientists and software engineers usually come from very different backgrounds, and data scientists should not be expected to be great programmers, nor should software engineers be expected to provide statistical summaries. Nonetheless, a background in machine learnin…
2019-08-14 07:35:54+00:00 Read the full story…
Weighted Interest Score: 4.3545, Raw Interest Score: 1.9963,
Positive Sentiment: 0.2315, Negative Sentiment 0.0964

Credit Suisse Invests In Fixed Income Data Provider

Solve Advisors, a leading provider of pre-trade price transparency in fixed income markets, announced an investment from Credit Suisse Asset Management’s NEXT Investors. The investment will be primarily used to drive Solve Advisors’ business growth, expand the company’s sales and marketing presence, and further product development.

Founded in 2011 in New York, Solve Advisors’ mission is to address data fragmentation and lack of transparency in t…
2019-08-16 09:21:10+00:00 Read the full story…
Weighted Interest Score: 4.3235, Raw Interest Score: 2.4732,
Positive Sentiment: 0.6645, Negative Sentiment 0.0738

Investors Seek Out Lucidworks

Lucidworks, the high-flying search engine platform developer, announced a $100 million funding round. The haul will be poured into its AI-based recommendation tools, including its flagship Fusion search platform.

San Francisco-based Lucidworks said Monday (Aug. 12) the funding round was led by Francisco Partners, a technology-focused equity fund, along with TPG Sixth Street Partners. They join existing investors Allegis Cyber, Granite Ventures, …
2019-08-12 00:00:00 Read the full story…
Weighted Interest Score: 4.1725, Raw Interest Score: 2.2059,
Positive Sentiment: 0.0460, Negative Sentiment 0.0460

Artificial Intelligence and Enterprise Knowledge Graphs: Better Together

At the heart of things, an enterprise knowledge graph supports decision and process augmentation based on linked data. These models of knowledge domains are created by subject matter experts with the help of machine learning algorithms. They live as virtual data layers on top of existing databases or data sets to link both structured and unstructured data at scale and across disparate data silos. Introduce new data and the graph accepts it withou…
2019-08-15 07:35:27+00:00 Read the full story…
Weighted Interest Score: 4.0641, Raw Interest Score: 1.9964,
Positive Sentiment: 0.1512, Negative Sentiment 0.1059

Emirates NBD taps SAP for data-driven decision making

Source: Emirates NBD

Emirates NBD, a leading bank in the Middle East, has partnered with SAP, a market leader in enterprise software, to become the first bank globally to implement SAP Financial Services Data Platform. It is powered by SAP in-memory data platform, SAP HANA and can now deliver customer intelligence across all Emirates NBD Group market segments, entities and countries.

The implementation of the SAP Financial Services Data Platfor…
2019-08-19 12:09:00 Read the full story…
Weighted Interest Score: 3.9223, Raw Interest Score: 2.4829,
Positive Sentiment: 0.2519, Negative Sentiment 0.0720

A Data Science Leader’s Perspective on Getting Value from AI Workloads

Research in Deep Learning started as early as the 1960s, though the term itself was coined in 1986. With accurate predictions becoming the need of the hour, the amount of computing available and the massive data being collected, Deep Learning became the preferred algorithms at least over the last 5 years or so. As the complexity of problems arose, Deep Learning became the answer for problems that involved heavy datasets.

A few millions of rows o…
2019-08-19 08:28:15+00:00 Read the full story…
Weighted Interest Score: 3.9203, Raw Interest Score: 1.8377,
Positive Sentiment: 0.3365, Negative Sentiment 0.2459

An easy introduction to unsupervised learning with 4 basic techniques

An easy introduction to unsupervised learning with 4 basic techniques George Seif Follow Aug 19 · 5 min read

Deep Learning has gotten a lot of love from both the AI community and the general public. But most recently, researchers have started to question and doubt that deep learning is really the future of AI.

The prominent deep learning techniques used today all rely on supervised learning, yet we see quite clearly that humans learn things, pa…
2019-08-19 14:07:15.237000+00:00 Read the full story…
Weighted Interest Score: 3.9050, Raw Interest Score: 1.6276,
Positive Sentiment: 0.1495, Negative Sentiment 0.1163

How Conversational AI Is Changing The Face Of Modern B2C Communication

Conversational AI has been a major area for innovation, as it serves as a bridge between the machine and human interaction. It plays an important role in the digital transformation for organisations. The demand for conversational AI is increasing as people are embracing these evolving technologies.

Regardless of the size, both large and small organisations are working for the enhancement of this technology and progressing in dialogue research in…
2019-08-19 13:00:45+00:00 Read the full story…
Weighted Interest Score: 3.7941, Raw Interest Score: 1.9404,
Positive Sentiment: 0.2859, Negative Sentiment 0.0613

SnapLogic Delivers AI-powered Pipeline Recommendations, API Developer Portal

According to a recent press release, “SnapLogic today announced the availability of the August 2019 release of the SnapLogic Intelligent Integration Platform, delivering several new innovations that drive better productivity, deeper insights, and higher performance for customers. With this release, SnapLogic makes enterprise integration even faster and easier with new AI capabilities that recommend completed pipelines – from within the user’s org…
2019-08-16 07:15:53+00:00 Read the full story…
Weighted Interest Score: 3.4215, Raw Interest Score: 1.5049,
Positive Sentiment: 0.4152, Negative Sentiment 0.0519

Nvidia CEO says Google is the company’s only customer building its own silicon at scale

Jensen Huang, president and CEO of Nvidia, speaks during the company’s event at the 2019 Consumer Electronics Show in Las Vegas on Jan. 6, 2019.

Nvidia’s CEO, Jensen Huang, has reason to be concerned about other chipmakers, like AMD.

But he’s not worried about Nvidia’s own big customers turning into competitors.

Amazon, Facebook, Google and Tesla are among the companies that buy Nvidia’s graphics cards and have kicked off chip-development proj…
2019-08-15 00:00:00 Read the full story…
Weighted Interest Score: 3.3562, Raw Interest Score: 1.4980,
Positive Sentiment: 0.0810, Negative Sentiment 0.1215

Franz AllegroGraph Supports Shapes Constraint Language

Franz Inc., an early adopter of Artificial Intelligence (AI) and provider of Semantic Graph Database technology for Knowledge Graph Solutions, is now supporting Shapes Constraint Language (SHACL), a World Wide Web Consortium (W3C) specification for validating graph-based data against a set of conditions.

Franz’s Knowledge Graph solutions with SHACL improves the ability to validate data and applications from independently maintained sources withi…
2019-08-15 00:00:00 Read the full story…
Weighted Interest Score: 3.3560, Raw Interest Score: 1.7425,
Positive Sentiment: 0.1275, Negative Sentiment 0.1275

Is Python Strangling R to Death?

As programming languages go, there’s no denying that Python is hot. Originally created as a general-purpose scripting language, Python somehow became the most popular language for data science. But is Python’s fame coming at the expense of R? Yes, according to some folks in the IT industry, who say R is a dying language.

There is some evidence that Python’s popularity is hurting R usage. According to the TIOBE Index, Python is currently the thir…
2019-08-15 00:00:00 Read the full story…
Weighted Interest Score: 3.3278, Raw Interest Score: 2.2674,
Positive Sentiment: 0.3307, Negative Sentiment 0.1535

Applied Materials Reports Earnings With Stock Holding a Value Level

Applied Materials, Inc. (AMAT) is a semiconductor equipment company and software provider. It makes computer chips for electronic devices including flat panel TVs, smartphones, and solar products. The company is set to report earnings after the closing bell on Thursday, Aug. 15, with the stock above its monthly value level at $46.33.

The stock has had a solid performance so far in 2019, up 42.7% year to date and in bull market territory at 62.2%…
2019-08-15 18:23:39.599000+00:00 Read the full story…
Weighted Interest Score: 3.1665, Raw Interest Score: 1.5023,
Positive Sentiment: 0.1454, Negative Sentiment 0.3635

Better Ways to Predict Who’s Going to Quit

Most retention efforts rely on two retrospective tools: exit interviews and annual employee surveys. The problem is that these data don’t give managers a real-time picture of who might be considering leaving. Researchers used big data and machine-learning algorithms to develop a turnover propensity index for individuals – a real-time indicator of who is likely thinking about quitting. Their results demonstrate that it is possible to develop indic…
2019-08-16 12:05:24+00:00 Read the full story…
Weighted Interest Score: 3.1627, Raw Interest Score: 1.3514,
Positive Sentiment: 0.3339, Negative Sentiment 0.1749

Evaluate Topic Models: Latent Dirichlet Allocation (LDA)

Evaluate Topic Models: Latent Dirichlet Allocation (LDA)

A step-by-step guide to building interpretable topic models

In the previous article, I introduced the concept of topic modeling and walked through the code for developing your first topic model using Latent Dirichlet Allocation (LDA) method in the python using sklearn implementation.

Pursuing on that understanding, in this article, we’ll go a few steps deeper by outlining the framework t…
2019-08-19 14:49:40.687000+00:00 Read the full story…
Weighted Interest Score: 3.1153, Raw Interest Score: 1.1999,
Positive Sentiment: 0.0722, Negative Sentiment 0.0722

SnapLogic Releases Enhanced Platform with New AI Features

SnapLogic is releasing the August 2019 version of the SnapLogic Intelligent Integration Platform, delivering several new innovations that drive better productivity, deeper insights, and higher performance for customers.

With this release, SnapLogic makes enterprise integration even faster and easier with new AI capabilities that recommend completed pipelines – from within the user’s organization or from the SnapLogic Patterns Catalog – improving…
2019-08-14 00:00:00 Read the full story…
Weighted Interest Score: 3.1111, Raw Interest Score: 1.7284,
Positive Sentiment: 0.4938, Negative Sentiment 0.0494

Can Robots Write Better Financial Ad Copy than You Do?

Financial marketers have to crank out a lot of content — blogs, ad copy, social media posts, web content, and more.

Everyone grinding out content would like to have more help. Would you hire the writer who put together the following paragraph on Search Engine Optimization?

“You should think about AI as a smart, efficient and inspirational assistant.”

— Thomas Husson, Forrester

“Search engine marketers find and rank on websites by making sure …
2019-08-19 00:02:22+00:00 Read the full story…
Weighted Interest Score: 3.1108, Raw Interest Score: 1.2089,
Positive Sentiment: 0.3425, Negative Sentiment 0.0806

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 organizations are turning to innovative new technologies and strategies to reinforce their analytics ecosystems with greater speed, flexibility …
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

Bigger Banks are here to stay

Banking Is More Than Software

Disruption is the current name of the game. The promise is it will upturn any economic sector that’s not sufficiently hip to the new ways of doing business. In some cases that has certainly been true. Uber has taken its toll on traditional taxicab companies. Airbnb has altered the hotel and bed-and-breakfast sectors.

And in the world of finance, the promise that fintech will wipe out traditional banking sounds exci…
2019-08-15 20:28:23 Read the full story…
Weighted Interest Score: 3.0206, Raw Interest Score: 1.1805,
Positive Sentiment: 0.2201, Negative Sentiment 0.2601

A 2019 Guide to Semantic Segmentation

Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We’ll now look at a number of research papers on covering state-of-the-art approaches to building semantic segmentation models.

By Derrick Mwiti, Data Analyst.

Semantic segmentation refers to the process of linking each pixel in an image to a class …
2019-08-20 00:00:00 Read the full story…
Weighted Interest Score: 3.0009, Raw Interest Score: 1.6966,
Positive Sentiment: 0.2030, Negative Sentiment 0.0870

Q&A: CME’s Blu Putnam on reconstructing the order book, rate cuts and slowdowns

aders, billions of data points have become available over the past few years – useful in the search for arbitrage only when the appropriate management and direction are applied to them.

The surge in big data has created an ever-growing market for data management tools, driven in large part by technology, with machine learning and artificial intelligence solutions reading everything from sentiment to event risk and other metrics. Late last year, CME unveiled its Liquidity Tool, designed to allow the firm’s market users to measure current and historic liquidity across asset classes. Heavily involved in…
2019-08-13 00:00:00 Read the full story…
Weighted Interest Score: 2.9957, Raw Interest Score: 1.6879,
Positive Sentiment: 0.0637, Negative Sentiment 0.4618

Alegion Receives $12 Million in Funding Round, Will Boost AI Capabilities

enterprise data science teams, has completed a $12 million Series A-2 round of funding, allowing the company to accelerate the integration of Active Learning and other strategic technologies into its Machine Learning Data Labeling Platform. This funding round was led by RHS Investments.

Alegion’s platform blends human and machine intelligence to provide highly accurate labeled data used to train or validate customer’s machine learning models.

As demand for ML training data increases exponentially, human judgment alone is not a viable mechanism for labeling and scoring.

Active Learning enables the platform …
2019-08-15 00:00:00 Read the full story…
Weighted Interest Score: 2.9616, Raw Interest Score: 2.2770,
Positive Sentiment: 0.3163, Negative Sentiment 0.0000

A bank that runs accounts for just 50 cents a year

I recently attended a FinTech conference where Henry Ma, Vice President & Chief Information Officer of WeBank, presented an update of how the bank is faring in China.

For those unaware, WeBank is the offshoot of WeChat Pay, WeChat and Tencent, and focuses upon financial inclusion in China. This may be surprising for some, as four out of five Chinese citizens already have a basic bank account, but that means that millions do not have one. In fact…
2019-08-14 06:35:17+00:00 Read the full story…
Weighted Interest Score: 2.9259, Raw Interest Score: 1.5849,
Positive Sentiment: 0.0914, Negative Sentiment 0.0610

AI provides the foundation for major breakthroughs in cancer treatments

alent in the United States and abroad. Oncologists are investing in new technology to improve treatments for their growing number of patients. In recent years, healthcare experts have discovered that artificial intelligence is one of the most promising forms of technology in the field of oncology.

The number of benefits of AI in the field of oncology is almost too numerous to list. However, some of these benefits are so promising that they warrant discussion. Here are some of the top benefits of artificial intelligence for treating all types of cancer.

Personalized radiation treatments

Radiation has been one of t…
2019-08-19 08:56:37+00:00 Read the full story…
Weighted Interest Score: 2.9147, Raw Interest Score: 1.4248,
Positive Sentiment: 0.3800, Negative Sentiment 0.1425

3 Specialty Retail Stocks Ready to Bounce

Specialty retail stocks rely heavily on the purchasing power of consumers, a favorable labor market, and rising wages. Therefore, it’s no surprise that the industry has underperformed the S&P 500 Index by about 7.5% over the past month after the June jobs report disappointed. Like most other sectors, talk about a looming recession and constant trade war developments dominating news feeds haven’t helped the space either.

However, encouraging July…
2019-08-19 14:40:42.007000+00:00 Read the full story…
Weighted Interest Score: 2.8939, Raw Interest Score: 1.6467,
Positive Sentiment: 0.4117, Negative Sentiment 0.2148

How to drive business value with APIs in the cloud

The cloud simplifies and accelerates delivery of open banking standards, providing opportunities to improve awareness, transparency, and scale. Industry players would benefit by forging ahead with more effective and structured collaboration, facilitated by application programming interface (API) standardisation and shared customer data insights.

The current bank model is shifting as regulations such as the Competition and Markets Authority’s (CM…
2019-08-16 12:31:00 Read the full story…
Weighted Interest Score: 2.8143, Raw Interest Score: 1.6396,
Positive Sentiment: 0.3223, Negative Sentiment 0.0140

Accenture to acquire data firm Analytics8

Accenture will acquire privately-held big data and analytics consultancy Analytics8 for an undisclosed amount.

Analytics8 provides data and analytics solutions to some of Australia’s largest organisations enabling them to derive enhanced insights from data, according to the company.

Accenture said the acquisition shows its continued investment in innovation and ongoing commitment to growing its capabilities in digital growth channels.

The late…
2019-08-15 12:32:11+10:00 Read the full story…
Weighted Interest Score: 2.7991, Raw Interest Score: 1.7615,
Positive Sentiment: 0.3613, Negative Sentiment 0.0903

25 Tricks for Pandas

Check out this video (and Jupyter notebook) which outlines a number of Pandas tricks for working with and manipulating data, covering topics such as string manipulations, splitting and filtering DataFrames, combining and aggregating data, and more.

By Matthew Mayo, KDnuggets.

Last week, Kevin Markham (@justmarkham) of DataSchool.io posted a handy video and an companion Jupyter notebook titled “My top 25 pandas tricks.” I found the collection of…
2019-08-25 00:00:00 Read the full story…
Weighted Interest Score: 2.7652, Raw Interest Score: 1.4044,
Positive Sentiment: 0.0000, Negative Sentiment 0.1652

Veeva Brings Artificial Intelligence to Drug Safety

According to a recent press release, “Veeva Systems today announced Veeva Vault Safety.AI, a new artificial intelligence (AI) application that automates case intake to reduce the time and effort of manual data entry for more efficient case processing. Together with Vault Safety and Vault SafetyDocs, Veeva offers the first integrated suite of cloud applications on a common platform to manage the end-to-end drug safety lifecycle, from case intake and adverse event processing to authoring and submissions. ‘There is a …
2019-08-16 07:05:53+00:00 Read the full story…
Weighted Interest Score: 2.7586, Raw Interest Score: 1.6765,
Positive Sentiment: 0.3452, Negative Sentiment 0.1479

Learning from Data to Create a Safer and Smarter Self-Driving Experience

The automotive industry isn’t just being driven by people — it’s also driven by data, particularly as automobile manufacturers move toward autonomous, self-driving vehicles. Last year, Waymo cars drove 1.2 million miles in California. Meanwhile, Tesla, with its Autopilot program, is actively collecting data from hundreds of thousands of vehicles to predict how its cars might perform autonomously. So far the company has collected hundreds of milli…
2019-08-16 00:00:00 Read the full story…
Weighted Interest Score: 2.7410, Raw Interest Score: 1.4904,
Positive Sentiment: 0.3075, Negative Sentiment 0.0473

This Virtual Bank Wants to Be The Engine Behind Fintech Brands

Radius Bank demonstrates that established banking institutions can put themselves successfully through a reboot that can drastically change their business model. For Boston-based Radius, virtual banking and fintech relationships have been the routes of choice.

“Fintechs love to be disruptive and love to be in industries that can be disrupted,” says veteran banker Michael Butler, President and CEO in a CNBC interview. “We kind of agree with that …
2019-08-15 00:52:22+00:00 Read the full story…
Weighted Interest Score: 2.7088, Raw Interest Score: 1.1457,
Positive Sentiment: 0.1193, Negative Sentiment 0.1074

Data Science And Design Collide — There’s A Better Way

get out of tables of data and talk to real people — you know, do qualitative research — went viral among these two constituencies. The resulting debate reflected the state of the relationship between data science and design: They’re not on the same page. One participant even deleted one of his tweets, overwhelmed by the volume and combative tone of the feedback.

The worlds of data science and design are indeed colliding. More and more companies want to transform experiences with machine learning. The best organizations rely on customer analytics to make decisions. At the same time, the size of design tea…
2019-08-13 17:16:07-04:00 Read the full story…
Weighted Interest Score: 2.6970, Raw Interest Score: 1.4381,
Positive Sentiment: 0.2455, Negative Sentiment 0.2806

Graph Database ‘Shapes’ Data

A semantic graph database technology vendor is supporting a key specification designed to validate graph-based data against a set of conditions that specify the “shape” of data. The goal is a more agile way of analyzing larger volumes of complex, distributed data.

Franz Inc. said this week its flagship AllegoGraph platform now supports SHACL, the SHApe Constraint Language used to describe “the shape that data should have.” The spec was developed…
2019-08-16 00:00:00 Read the full story…
Weighted Interest Score: 2.6911, Raw Interest Score: 1.5991,
Positive Sentiment: 0.1560, Negative Sentiment 0.1170

Insurers and Lawyers are stepping into AI

The insurance business revolves around measuring and pricing risks. In short, it’s a business about caution. Perhaps that’s the reason why insurance companies have lagged other industries, such as banking, in adopting new technologies that offer more powerful analytics capabilities. But the insurance industry’s reluctance to adopt new technologies is breaking down. So-called insurtech is one of the industries drawing investor interest as startup …
2019-08-15 19:41:26+00:00 Read the full story…
Weighted Interest Score: 2.6906, Raw Interest Score: 1.2841,
Positive Sentiment: 0.1427, Negative Sentiment 0.4280

Modern Data Warehousing: Enterprise Must-Haves

SPECIAL DBTA ROUNDTABLE WEBINAR TUESDAY, NOVEMBER 19 – 11:00 am PT / 2:00 pm ET

To fit into modern analytics ecosystems, legacy data warehouses must evolve—both architecturally and technologically—to deliver the agility, scalability and flexibility that business need to thrive in today’s data-driven economy. Alongside new architectural approaches, a variety of technologies have emerged as key ingredients of modern data warehousing, from data vir…
2019-11-19 00:00:00 Read the full story…
Weighted Interest Score: 2.6801, Raw Interest Score: 1.6779,
Positive Sentiment: 0.2517, Negative Sentiment 0.1678

When AI and 5G Combine, Watch For a New Generation of Applications

By AI Trends Staff

AI and 5G enable each other. Machine learning thrives on massive amounts of data, and 5G will create massive amounts of data. 5G provides the high-speed network to move the data that AI needs to succeed, and AI potentially has the ability to handle the complexity of 5G.

The combination stands to enable a new generation of applications, suggests a recent article in Electronic Design. These include autonomous driving, augmented…
2019-08-15 19:00:16+00:00 Read the full story…
Weighted Interest Score: 2.6710, Raw Interest Score: 1.2212,
Positive Sentiment: 0.5069, Negative Sentiment 0.0461

RBS bail out fund disburses further £40 million

Atom Bank, iwoca, Modulr Finance and Currencycloud have each been awarded £10 million from the Banking Competition Remedies Board to provide lending or payment services to the UK’s SMEs.

An on-demand working capital facility (delivered in 2020);

Unsecured term lending that responds dynamically to forecast cash flow and financial health (2020)

•Access to lending secured over business assets (2021); and

•Invoice discounting to provide instant a…
2019-08-14 09:10:00 Read the full story…
Weighted Interest Score: 2.6539, Raw Interest Score: 1.7112,
Positive Sentiment: 0.2674, Negative Sentiment 0.0535

The Allure of the Cloud for Data Lakes

Click to learn more about author Sanjay Vyas.

Many organizations are considering whether it’s the right time to shift from an on-premises data lake to a cloud data lake. From scalability issues to software incompatibility and security, on-premises data lakes haven’t delivered on the promise to give organizations fast and unfettered access to all their data from any source. Are cloud data lakes the answer?

For many organizations, the answer is y…
2019-08-19 07:30:35+00:00 Read the full story…
Weighted Interest Score: 2.5265, Raw Interest Score: 1.4055,
Positive Sentiment: 0.1495, Negative Sentiment 0.1047

Working in the West Loop: 10 Tech Companies You Should Know

Along the western bank of the Chicago River and expanding west until Ashland Ave. is a fast-growing area called the West Loop. Once full of warehouses and manufacturing operations, the area has rapidly transformed as home to some of the city’s most popular gathering spots, watering holes and, yes, tech companies. Drawn to large, open spaces, many startups and tech-focused businesses see the former warehouses as ideal places to set up shop.

With …
2019-08-13 00:00:00 Read the full story…
Weighted Interest Score: 2.3733, Raw Interest Score: 1.4339,
Positive Sentiment: 0.0989, Negative Sentiment 0.0247

Accessing Remote Data with a Generalized File System

Originally created for the needs of Dask, we have spun out a general file system implementation and specification, to provide all users with simple access to many local, cluster, and remote storage media. Dask and Intake have moved to use this new package: fsspec .

Introduction

For context, we are talking about the low-level business of getting raw bytes from some location. We are used to doing that on a local disk, but communicating with other…
2019-08-14 19:31:49+00:00 Read the full story…
Weighted Interest Score: 2.3678, Raw Interest Score: 0.8840,
Positive Sentiment: 0.0474, Negative Sentiment 0.0000

How to Implement an AI-Enhanced, Intelligent Automation Platform

The dreaded trend term “digital transformation” is a bit worn out at this point for those of us who talk and write about it on a daily basis, but it remains a top priority for many organizations. These companies are trying to automate capabilities as a lever for optimizing operations, delivering better service to customers and driving top-line growth. They’re also looking to deploy automation against increasingly complex business processes and sc…
2019-08-14 00:00:00 Read the full story…
Weighted Interest Score: 2.3349, Raw Interest Score: 1.5139,
Positive Sentiment: 0.3543, Negative Sentiment 0.1127

Baidu Reports Earnings With Stock Holding a Value Level

nings after the closing bell on Monday, Aug. 19, with the stock holding its value level for August at $95.19. The company is a Chinese technology giant specializing in internet applications including artificial intelligence.

The stock set its all-time intraday high of $284.22 during the week of May 18, 2018, and since then, it has crashed by 67% to a multi-year low of $93.39 set on Aug. 15. Baidu shares closed last week at $96.70, down 39% year to date and in bear market territory at 58.8% below the 52-week high of $234.88 set on Sept. 21, 2018.

Analysts expect Baidu to post earnings per share between 92 cents and…
2019-08-18 17:12:24.005000+00:00 Read the full story…
Weighted Interest Score: 2.3267, Raw Interest Score: 1.1269,
Positive Sentiment: 0.1225, Negative Sentiment 0.5145

Accenture to Acquire Analytics8, Australian Analytics and Data Specialists

A recent press release reports, “Accenture has entered into an agreement to acquire Analytics8, a privately held Australian big data and analytics consultancy that specialises in data management, reporting and visualisation, data science and analytics services. Founded in 2002, Analytics8 provides data and analytics solutions to some of Australia’s largest organisations. With deep expertise across multiple industries, from healthcare to financial services, Analytics8 enables clients to derive enhanced insights from data. Analy…
2019-08-19 07:15:40+00:00 Read the full story…
Weighted Interest Score: 2.3230, Raw Interest Score: 1.6049,
Positive Sentiment: 0.3320, Negative Sentiment 0.0553

7 reasons why data cleansing is important to every business in today’s world

The quality of data is the most crucial element of any business intelligence strategy. Developing systems to collect and distribute information is one thing, but if that data becomes corrupted, then it becomes useless. No matter what niche business is in or what kind of data they collect, data cleansing is going to be a requirement. Why is data cleansing important in business?

Data cleansing is the process of cleaning up data. Think of it as spr…
2019-08-13 13:18:19+00:00 Read the full story…
Weighted Interest Score: 2.2760, Raw Interest Score: 1.2502,
Positive Sentiment: 0.3045, Negative Sentiment 0.4488

Cerebras Systems unveils a record 1.2 trillion transistor chip for AI

New artificial intelligence company Cerebras Systems is unveiling the largest semiconductor chip ever built.

The Cerebras Wafer Scale Engine has 1.2 trillion transistors, the basic on-off electronic switches that are the building blocks of silicon chips. Intel’s first 4004 processor in 1971 had 2,300 transistors, and a recent Advanced Micro Devices processor has 32 billion transistors.

Most chips are actually a collection…
2019-08-19 00:00:00 Read the full story…
Weighted Interest Score: 2.1944, Raw Interest Score: 1.3244,
Positive Sentiment: 0.2721, Negative Sentiment 0.1270

Black box problem stunting ML adoption in default risk analysis

Difficulties in explaining machine learning (ML) models is causing concern as banks look to the technology for default risk analysis, according to market participants.

“Many different types of ‘black-box’ models have been developed out there even by banks claiming that they can accurately predict mortgage defaults. This is only partially true,” said Panos Skliamis, chief executive officer at SPIN Analytics in an email.

“[These models] usually t…
2019-08-14 00:00:00 Read the full story…
Weighted Interest Score: 2.1855, Raw Interest Score: 1.4067,
Positive Sentiment: 0.0938, Negative Sentiment 0.6877

4 Machine Learning Use Cases in the Automotive Sector

From parts suppliers to vehicle manufacturers, service providers to rental car companies, the automotive and related mobility industries stand to gain significantly from implementing machine learning at scale. We see the big automakers investing in proof-of-concept projects at various stages, while disruptors in the field of autonomous driving are trying to build entirely new businesses on a foundation of artificial intelligence and machine learn…
2019-08-15 13:54:12+00:00 Read the full story…
Weighted Interest Score: 2.1293, Raw Interest Score: 1.2700,
Positive Sentiment: 0.3572, Negative Sentiment 0.2249

A coordinated and forward looking approach towards ASEAN disaster and climate risk resilience

Distinguished guests, ladies and gentlemen,

Good morning.

Introduction

1. It is my pleasure and honour to join you today at the 10th anniversary of the NTU Institute of Catastrophe Risk Management (ICRM)’s annual symposium. Since its establishment in 2010, ICRM has come a long way to become one of Asia’s leading research institutes in catastrophe risk modelling and management.

2. The theme for this year’s symposium – “Towards Viable Disaster …
2019-08-13 18:18:54+10:00 Read the full story…
Weighted Interest Score: 2.1251, Raw Interest Score: 1.3469,
Positive Sentiment: 0.2245, Negative Sentiment 0.7183

Build Your Next-Generation Business Case Using A Lifecycle

So you’ve got a great new idea for how technology-driven innovations can transform your business, reinvent the way employees work, and/or drive customer obsession. That’s a great start! But too many of you tell us, “I’m really excited about this new idea, but I can’t get the internal buy-in that’s needed to fund the initiative.”

Building a business case and influencing your peers is key to every technology initiative, so overcoming this obstacle…
2019-08-13 12:34:39-04:00 Read the full story…
Weighted Interest Score: 2.0695, Raw Interest Score: 1.0986,
Positive Sentiment: 0.4088, Negative Sentiment 0.1277

TCS AI Platform Ignio Crosses $60m Mark In Annual Revenue

so announced that ignio had doubled its revenue as well as the number of customers, year-on-year, as it completes four years since launch.

Ignio was launched in 2015 with the objective of leveraging artificial intelligence, machine learning and advanced software engineering to transform enterprise IT services.

Akhilesh Tripathi, Global Head, Digitate, said, “ignio’s unique capabilities cover the breadth and depth of an enterprise from IT to business and from context to self-heal. ignio closes the loop between prediction, recommendation and autonomous execution on a single platform, and delivers unparalleled result…
2019-08-13 12:12:25+00:00 Read the full story…
Weighted Interest Score: 1.9160, Raw Interest Score: 1.2648,
Positive Sentiment: 0.2040, Negative Sentiment 0.2040

TVS Motor Singapore Invests $3.2 Million In Predictronics Corporation

rporation, headquartered in Cincinnati, Ohio, which specialises in providing end-to-end predictive maintenance analytics solutions.

Predictronics’ solutions combine expertise in IIoT, Industrial AI, Big Data, Machine Learning, and Predictive Analytics to remove the uncertainty from industrial operations and improve process uptime, production planning, maintenance, and product quality by providing actionable information and accurate predictions that empower clients to have a transparent, worry-free business. Their claim to fame is that “We know what happens next, and so can you.”

Rajesh Narasimhan, B…
2019-08-19 05:57:14+00:00 Read the full story…
Weighted Interest Score: 1.8119, Raw Interest Score: 1.0294,
Positive Sentiment: 0.3431, Negative Sentiment 0.0980

Amazon’s algorithm is reading a new emotion on faces: fear

Earlier this week, Amazon announced that it had improved the accuracy of its machine learning system Rekognition , improving its “emotion detection” capabilities. Along with detecting the emotions of happy, sad, angry, surprised, disgusted, calm, and confused, Amazon says it has “added a new emotion: fear.”

Technically, the algorithm works by learning how people’s faces usually look when they express fear. Then, when you show it a new image, it can tell you with a certain probability whe…
2019-08-15 07:00:01 Read the full story…
Weighted Interest Score: 1.7677, Raw Interest Score: 0.8980,
Positive Sentiment: 0.1361, Negative Sentiment 0.5986

A Foot in the Door: 8 Companies With Open Entry-Level Marketing Jobs in Chicago

The U.S. is currently experiencing a booming candidate job market, a dwindling unemployment rate and new job creation across industries. So, finding a job shouldn’t be too difficult, right? Unfortunately, there’s still the tricky business of navigating the job market when you’re fresh out of school or don’t have a lot of experience in a given area. Of course, everyone has to get their start somewhere and we’ve found eight cool tech companies curr…
2019-08-16 00:00:00 Read the full story…
Weighted Interest Score: 1.7070, Raw Interest Score: 1.3042,
Positive Sentiment: 0.1660, Negative Sentiment 0.0949

Re-Imagining Big Data in a Post-Hadoop World

In the big data battle for architectural supremacy, the cloud is clearly winning and Hadoop is clearly losing. Customers are shying away from investing in monolithic Hadoop clusters in favor of more nimble (if not less expensive) cloud platforms. While the bubble has clearly popped on Hadoop, organizations still face many questions when it comes to building for big data.

HPE’s acquisition of MapR last week was …
2019-08-12 00:00:00 Read the full story…
Weighted Interest Score: 1.6425, Raw Interest Score: 1.2080,
Positive Sentiment: 0.1546, Negative Sentiment 0.2319

Exploratory Data Analysis — Unravelling a story with data

Exploratory Data Analysis — Unravelling a story with data

In this article, we will explore how to unearth hidden patterns in data.

I found the Housing Prices competition on Kaggle a great place to hone your analytical skills and start thinking like a Data Scientist. For some context, do read the Ames Housing Data documentation. The 80 explanatory variables seem to be typically the kind of factors which house owners would quote as influencing th…
2019-08-19 14:06:21.069000+00:00 Read the full story…
Weighted Interest Score: 1.6281, Raw Interest Score: 0.8472,
Positive Sentiment: 0.0652, Negative Sentiment 0.0978

Solving Gen Z’s Financial Challenges By Blending Human + Tech Solutions

Each generation brings new hurdles and challenges that banks and credit unions must consider when undergoing structural transformation. But while Millennials somewhat straddled the line between full-digital and legacy services —making innovative transformation a much-less daunting task for financial institutions — Gen Z is primed to cause much more disruption.

Gen Z Ranks Convenience and Timeliness over All Else

Studies have shown that Gen Z co…
2019-08-15 00:01:20+00:00 Read the full story…
Weighted Interest Score: 1.5270, Raw Interest Score: 0.9279,
Positive Sentiment: 0.2183, Negative Sentiment 0.1274

Telco Subscription Fraud: A Disappearing Act

Ever wondered how great magicians can trick us into believing things which aren’t quite true? From David Copperfield’s flying illusion to one of Penn & Teller’s card tricks, they all have one thing in common: misdirection or the art of deception.

Fraudsters, like magicians, are crafty individuals who use a series of techniques to appear as legitimate persons or businesses when in fact they are not. Once they gain access to the coveted goods or s…
2019-08-15 09:31:34 Read the full story…
Weighted Interest Score: 1.4620, Raw Interest Score: 0.8310,
Positive Sentiment: 0.3158, Negative Sentiment 0.7479

The Current State of Business Intelligence and Analytics (VIDEO)

Video produced by Steve Nathans-Kelly

In a presentation at Data Summit 2019, Athena IT Solutions managing partner Richard Sherman discussed the four prevalent states of data analytics and BI today. For many reasons, we’re in these four states, said Sherman.

Silos: “One is we have lots of silos. Our organizations are set up as business functions. We have different business units. Our source systems, our ERP systems, et cetera, are all set up to handle functions because it’s more efficient, but then we somehow have to get that data together and get people to agree to key perfor…
2019-08-13 00:00:00 Read the full story…
Weighted Interest Score: 1.4561, Raw Interest Score: 0.8737,
Positive Sentiment: 0.1092, Negative Sentiment 0.0728

Google’s Go Programming Language Is Going Places — By How Far?

With the extensive number of programming languages available out there, for any language to emerge among the best is no easy feat.

The Google’s Go programming language is one of the languages that has come out of obscurity and is now seeing clear traction in popularity for various development tasks.

Andrey, who is a German-based software developer with plentiful of experience in teaching people how to develop various applications, says that “Go…
2019-08-16 15:35:41.653000+00:00 Read the full story…
Weighted Interest Score: 1.3990, Raw Interest Score: 1.2282,
Positive Sentiment: 0.3856, Negative Sentiment 0.1000

Big Data Shines Way Forward for Big Quake Prediction

The magnitude 6.4 earthquake that struck near Ridgecrest, California, on July 4 was an eye opener for many in the region. But when a much larger magnitude 7.1 quake hit the following day, it became clear the first temblor was just an opener for the main act. It was also a dramatic display of the predictive potential of foreshocks, which earth scientists are now beginning to unravel.

In April, three months before the Ridgecrest quakes, researcher…
2019-08-14 00:00:00 Read the full story…
Weighted Interest Score: 1.3106, Raw Interest Score: 0.7339,
Positive Sentiment: 0.0262, Negative Sentiment 0.1311

Do You Understand the Variance In Your Data?

To fully understand what your data is telling you, you must sort out variation and what is causing it. You must acknowledge that variation is important and take it into account. As you dive into the numbers, aim to understand the sources of variation. Then, consider these sources as you gain a feel for measurements of variation, including standard deviation and R-squared. Understanding variation is not that difficult, and it puts a powerful tool …
2019-08-16 12:35:50+00:00 Read the full story…
Weighted Interest Score: 1.2646, Raw Interest Score: 0.9417,
Positive Sentiment: 0.3057, Negative Sentiment 0.2813

The State of Data Science in 2019 and How to Overcome the Talent Shortage

Join Anaconda’s Chief Technology Officer, Peter Wang, and Maria Khalusova, Developer Advocate at JetBrains, for a webinar on August 28. We’ll discuss the results of our 2019 survey and how the data science talent shortage will be addressed.

Register Now
2019-08-19 00:00:00 Read the full story…
Weighted Interest Score: 1.1811, Raw Interest Score: 0.7874,
Positive Sentiment: 0.0000, Negative Sentiment 0.3937

These 5 Tech Companies Are the Fastest-Growing in Chicago, According to Inc.

Image via shutterstock

If Inc. Magazine’s latest Inc. 5000 list is any indication, fresh blood is on the way for Chicago’s tech scene.

The magazine released the annual list on Thursday, which highlights the fastest growing young companies across the U.S. The magazine’s list only includes private companies that have started generating revenue by the end of March 2015. Those companies are then ranked based on revenue growth generated between 2015…
2019-08-14 00:00:00 Read the full story…
Weighted Interest Score: 1.1792, Raw Interest Score: 0.9434,
Positive Sentiment: 0.1887, Negative Sentiment 0.0000

Managed Services and Risk: Mitigation or Inherent Acceptance?

With the evolution of cybersecurity over the last decade, it’s easy to forget what security is; the art of dealing with risk. The flood of funding into the space has created a host of marketing buzzwords that pollute the board room and pull the attention from the “why?” of security. What is the reason cybersecurity exists? What is the problem we’re trying to solve?

Control-based vs risk-based

The conversation around security has shifted, and no…
2019-08-15 11:00:00+00:00 Read the full story…
Weighted Interest Score: 0.9925, Raw Interest Score: 0.7816,
Positive Sentiment: 0.2115, Negative Sentiment 0.6529

Urgent Tips To Guard Against New IoT Cybersecurity Threats

Networking technologies have made the world very small in the sense that they have allowed people who are thousands of miles apart to communicate in real-time. But network technologies and gadgets can be dangerous when it comes to cyber espionage. Hacked network equipment could cause losses in the tens and hundreds of US dollars. Botnets that affect poorly protected network devices are particularly dangerous. For example, the Mirai botnet, which …
2019-08-19 19:21:04+00:00 Read the full story…
Weighted Interest Score: 0.9493, Raw Interest Score: 0.8677,
Positive Sentiment: 0.0982, Negative Sentiment 0.3602

Teaching People to Share Technology: Adafruit Founder Limor Fried

This story is based on our interview with Adafruit founder Limor Fried

When Adafruit founder Limor Fried was studying electrical engineering and computer science at MIT, she realized she was less interested in the electrical engineering part.

“What I really liked to do was build stuff,” she said.

Instead of working on her homework or thesis, Fried spent her time designing hardware projects in her dorm. She built an MP3 player way before Apple …
2019-08-14 02:51:26+00:00 Read the full story…
Weighted Interest Score: 0.8308, Raw Interest Score: 0.7053,
Positive Sentiment: 0.3023, Negative Sentiment 0.1259


This news clip post is produced algorithmically based upon CloudQuant’s list of sites and focus items we find interesting. We used natural language processing (NLP) to determine an interest score, and to calculate the sentiment of the linked article using the Loughran and McDonald Sentiment Word Lists.

If you would like to add your blog or website to our search crawler, please email customer_success@cloudquant.com. We welcome all contributors.

This news clip and any CloudQuant comment is for information and illustrative purposes only. It is not, and should not be regarded as investment advice or as a recommendation regarding a course of action. This information is provided with the understanding that CloudQuant is not acting in a fiduciary or advisory capacity under any contract with you, or any applicable law or regulation. You are responsible to make your own independent decision with respect to any course of action based on the content of this post.