Post the financial crisis, banks in the US have faced increased regulatory scrutiny that has resulted in broader and tougher regulations. Bankers are fully aware of the investments and efforts they have to put in to comply with these regulations. Consequently, compliance function in banks is evolving towards a broader risk canvas that is now seeking tighter coordination between the first and second lines of defense. This poses new challenges to banks – from being compliant to getting the…

We want to create a repository of apps / APIs that provide forecasts and predictions for a broad class of questions that concern all  human beings. We would also like to create our own predictive API - so if you are interested in this project, contact us at [email protected], we might have a gig for you! Here's an example of what we did in the past. We also designed apps for stock market predictions (see…

Hadoop: The Elephant In The Room

Hadoop has been a great solution to analyzing big data, but is too much for most companies. Most don’t have petabytes of data, or a team of engineers and PhD’s to set up and maintain a cluster. So what options are left for these companies? Until recently..not many. There are a few startups looking to change this.

Zillabyte

A distributed cloud platform built independent of Hadoop,…

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. 

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• Data scientists face burnout due to work-related stress *…

This article was first posted in 2014 but the message bears repeating.  There is a lot being written about tools simple enough for the citizen data scientist to operate.  The unstated constraint is that if you don't have significant experience in data science then these will always be "good enough" models.  The problem is that 'good enough' models under achieve both revenue and profit.  Very small increases in model fitness can translate into much larger increases in campaign ROI.  Business…

How are developers building the next big app? What’s this next big app look like? What are the factors that will transform Big Data-infused apps into game-changers?

Actuate recently invited four industry experts to discuss the future of creating the next generation of data-driven applications and how they are influenced by open source and freemium software.



Allen…

How are developers building the next big app? What’s this next big app look like? What are the factors that will transform Big Data-infused apps into game-changers?

Actuate recently invited four industry experts to discuss the future of creating the next generation of data-driven applications and how they are influenced by open source and freemium software.…

How are developers building the next big app? What’s this next big app look like? What are the factors that will transform Big Data-infused apps into game-changers?

These are important questions to answer in a time when the lines are blurring between consumer and enterprise applications; business-to-business and business-to-consumer communications; and open-source and freemium and commercial software.

Actuate recently invited four industry experts to discuss…

Has the availability of more data improved democracy around the world? Watch the talk in which Conrad Wolfram discusses how computation for everyone can help people get answers relevant for them and how allowing people to make informed decisions in the key to our future democracy.

If you're in the UK and would like to hear more from Conrad, he's delivering a talk 'Master Your Data with Computation' in London on 21 November. Details at …

Top data science bloggers, authors, websites, or Twitter profiles worth following is now a popular topic, sure to attract lots of attention. We've published our share, including 

• Top 2,500 Data Science, Big Data and Analytics Websites…

As a product manager in the domain of predictive analytics, I own the responsibility to build predictive analytics capabilities for consumer facing and/or enterprise platforms; the business applications vary among item recommendations for consumers, prediction of event outcomes based on classification models, demand forecasting for supply optimization, and so on. We usually see the applications where the predictive model built using machine learning technique(s) is leveraged to score the new…

UPDATE: I fixed the links, as they were not being displayed correctly.

All was fine in the endless gardens of salads and breadsticks (I can't be the only one who orders extra breadsticks to take home with leftovers, right? ... Right...??). 55 consecutive quarters of increased same store sales. Kudos to the olive farmers!

All was fine...

Until that sour year of 2009, which initiated a continuous erosion of that once fertile soil.…

In the last few weeks we have seen new products launched by IT majors that have the potential to greatly influence the fortunes of the Analytics and Insights business. IBM’s Watson Analytics and Oracle’s Cloud based Analytics are just two new solutions/ platforms that have hit the market.  We can rest assured that many more such offerings will be launched in the coming weeks. As the products keep coming, they raise some important question for the analytics industry. What impact they will…

From episode 10 of my Naked Analyst Channel on YouTube.

I think I do - and it is the ‘appification’ of analytics. What I mean by this is the reduction of a complex analytic activity such as market segmentation, down to a single button on your computer interface. Very much like the…

Over the past six months we have been working with the reliability and maintenance organization within a large oil and gas client to build out their Master Equipment List (MEL). Like many asset-intensive organizations, they have implemented an Enterprise Asset Management (EAM) tool to give them visibility and control over their capital equipment to optimize their maintenance strategies, reduce operating costs, and better manage their workforce and spare parts inventories. The challenge is…

Having found a dataset on Ebola cases, thought of checking it out quickly what the statistics really look like.

The dataset contains 3 countries and within each there are multiple regions.

So just using the high level information at the country level this is what we can see in a simple line chart.

In the below Chart,

The blue line > Total Death cases

The green line > Total Cases

The Orange line > Currently admitted

And the Red…

Most of you will read this article to discover the most popular blogs, but the real purpose here is to show what goes wrong with many data science projects as simple as this one, and how it can easily be fixed. In the process, we created a new popularity score, much more robust than any ranking used in similar articles (top bloggers, popular books, best websites etc.) This scoring, based on a decay function, could be incorporated in recommendation engines.…

There are lies, damn lies, and Amazon reviews. Why are so many Amazon or Yelp reviews bogus? Do they have bad data scientists who can't detect fraudulent reviews? No, they have unethical CEOs ready to do anything to make money short-term. And complaining about being unable to find real data scientists to solve their problems. This is a challenge for ethical data scientists who want to create value, but get punished by top management for not condoning their misdeeds.…

Summary:  Here’s an easy to understand example of how predictive analytics can reduce cost while increasing efficacy of disease management programs.

Healthcare providers have made major breakthroughs over the last two decades by creating and implementing increasingly sophisticated disease management programs (DMPs).  At their core there are always two motives, improve the human condition by…

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. 

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• Top 30 DSC blogs, based on new scoring technology *…