Month: September 2020

Build a recommendation system

I have recently built a recommendation system at work and I was quite fascinated by application of recommendation system so I summarized high level of different types of recommendation system. To summarize what I have learned.

  1. Content based recommendation system requires a lot of knowledge about user and product
  2. Collaborative Filtering will require no knowledge about user or product but there are also 2 different types.
    1. Memory based – item item similarity
    2. Model based – matrix factorization
  3. Knowing what metric you would want to use for recommendation system is important

I also found out that Netflix uses a combination model which is really cool.

To know more detail: https://www.youtube.com/watch?v=u55NeEoclHI

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How Security Intelligence Protects Sensitive Retail Data

Neiman Marcus… Target… Home Depot… Panera Bread… Macy’s: These retailers are among the most famous brands that have suffered major cyberattacks. It doesn’t end there. Just recently, fashion brand H&M apologized and could face a fine of close to $1 billion for data protection breaches that involved illegally stored employee data.

Defending Data and Digital Assets: A Major Challenge for Retailers

One reason why retailers are frequently victimized by cyberattacks is because they must cater to a large customer base of connected consumers. Those customers are not always savvy when it comes to protecting log-in credentials. Any customer that provides a cybercriminal with an easy entryway to a retailer’s website or mobile app just might make that retailer’s digital assets vulnerable to a full-blown cyberattack.

Retail organizations process high volumes of financial transactions and store customer data in multiple databases, as well. In addition, retailers deploy many endpoints throughout their stores to service customers. Every retail company’s third-party supply chain represents a whole host of potential security risks to systems and data, as well. High staff turnover is another factor that makes it difficult to maintain a culture of security consistent from shift-to-shift — never mind season-to-season and year-to-year.

On top of all this, retailers are under tremendous pressure to continuously innovate with e-commerce sites and in-store technologies such as self-checkout, near-field communications, RFID inventory, beacons, point-of-sale devices, and digital menus. And guest WiFi is now something customers expect from just about every store they enter.

All of these factors make it difficult for retailers to maintain a strong security posture, and failing to do so exposes them to a wide range of cybercriminal risks. If someone compromises a single device, they may gain access to an entire network — and potentially to sensitive customer data. If that happens, there’s certain to be a major impact on revenue, and also brand reputation.

Security Intelligence Is the Answer for Retail Businesses

To take on these security challenges and disrupt adversaries at scale, Recorded Future created the world’s most advanced security intelligence platform. It combines analytics with human expertise to unite an unrivaled variety of open source, dark web, technical sources, and original research.

By dynamically categorizing, linking, and analyzing intelligence in real time, the Recorded Future Security Intelligence Platform delivers easy-to-consume insights for proactively reducing risk via six distinct modules that are tailored to your needs.

These six solutions move at the speed of business by empowering security teams to expose unknown threats and use intelligence to empower better, faster decision-making and amplify risk reduction across the entire organization.

Security Intelligence in Action for Retailers

Here are three use cases that illustrate how security intelligence empowers retail security teams to identify, prioritize, and mitigate risk:

  • Prioritizing Vulnerabilities: Retail organizations deploy multiple systems to process customer payments. These devices generally connect to the internet, as well as cloud environments, making them enticing and accessible targets for attackers. Security intelligence solves this challenge by surfacing which vulnerabilities hackers are actively exploiting. This makes it possible for security teams to patch the most relevant vulnerabilities right away — before negative consequences occur.
  • Defending the Brand: For retail organizations, their brand is their most valuable asset — but their reputations are instantly damaged beyond repair when customer data becomes compromised. Security intelligence makes it easy to monitor for domain abuse (like typosquat websites that may be used in phishing campaigns targeting customers) and get assistance to take them down.
  • Detecting Weak Links in the Supply Chain: In order to maintain business continuity, retailers need to outsource certain functions to third-party vendors. However, any security risk to a company in their supply chain potentially introduces security risk to the retailer. Security intelligence provides immediate, ongoing visibility into new third-party risks as they arise with deep analysis about the ever-evolving risk landscapes for more than 150,000 companies — updated in real time.

Protecting the Bottom Line for Retailers

For retail businesses, security intelligence is the key to maintaining a strong brand, customer trust, and even a positive balance sheet. We commissioned Forrester to conduct a Total Economic Impact™ (TEI) study that examines the ROI benefits a major global retailer realized when using Recorded Future. The report illustrates how this client’s security workflow efficiency improved by 50%. That alone resulted in $263,538 saved — but the savings did not end there.

Download Forrester’s study today to read the full breakdown of monetary savings when using Recorded Future.

The post How Security Intelligence Protects Sensitive Retail Data appeared first on Recorded Future.

Personal updates and DSC

After more than 10 years being involved with Data Science Central, initially as the founder, and most recently being acquired by TechTarget, I have decided to pursue new interests. TechTarget now has a great team taking care of DSC, and I will still be involved as a consultant to make sure that everything continues to run smoothly and that the quality standards are maintained and even enhanced. In my new role, I will become a contributor and write articles for DSC, so I will still be visible, even more than before as I find more time to write more articles.

I am happy to announce that TechTarget has just brought on Kurt Cagle as the new Community Manager for DSC. Kurt is a former DSC blogger and also living in WA two miles away from my place where DSC was created (so it will be easy to meet in person to explain all the tricks) and will take over many of my responsibilities, including interactions with the community. As for me, I will be spending more needed time in my new restaurant opening next month, Paris Restaurant in Anacortes, WA.

My new upcoming articles will be original, with the same style aimed at explaining sometimes advanced and new, original ML concepts and recipes in layman terms to a large range of analytics professionals: data scientists, executives, decision makers, and consumers of analytic products.

I wish all the best to Kurt and TechTarget. I am very happy to have worked with the stellar TechTarget team after the acquisition, as well as to continue to work with former DSC colleagues who were hired by TechTarget and are still there and happy today. This relationship will continue to grow in the foreseeable future, with TechTarget’s strong commitment to the DSC community.

Best,

Vincent

Weekly Entering & Transitioning into a Business Intelligence Career Thread. Questions about getting started and/or progressing towards a future in BI goes here. Refreshes on Mondays: (September 28)

Welcome to the ‘Entering & Transitioning into a Business Intelligence career’ thread!

This thread is a sticky post meant for any questions about getting started, studying, or transitioning into the Business Intelligence field.

This includes questions around learning and transitioning such as:

  • Learning resources (e.g., books, tutorials, videos)

  • Traditional education (e.g., schools, degrees, electives)

  • Career questions (e.g., resumes, applying, career prospects)

  • Elementary questions (e.g., where to start, what next)

I ask everyone to please visit this thread often and sort by new.

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Why Data Studio is not so popular as compared to other BI tools?

I recently came across Data Studio from Google and I am surprised with the features it offers for Free.

I am highlighting some of the features:

1 . Data connectors:

Offers more than 250 various Data connectors to land data from different sources. Example, Youtube, Google search etc. It also offers ‘Extract’ which creates snapshot of data to improve the performance.

2 . Sharing reports/Dashboard to External audience:

It allows you to share your dashboard to ANYONE you want. So far, I have not seen this features in PowerBI, Tableau without paying extra bucks or going the route of embedding.

3. Embedding into the website:

You can create your dashboard and embed into your website without paying any extra bucks. So far I know all BI tools charge extra for Embedding options.

4. Developer Support:

If you know programming you can create your own visualizations and use them in your Dashboards.

5. Data Manipulation:

It’s not very powerful like power query but offers a lot of functions and regex that can be used for basic ETL.

I can understand there are lot of other features that come with other BI Tools like advanced visualizations, dedicated support and More user friendly but they all comes with big price tag for offering all the above features (anywhere from 40k- 60k) and if you are working for a small company it’s a big number to spend just on a viz tool. I think Data studio can be good choice in that case especially if you are not heavy analytical company .

I am surprised why it is not popular? What am I missing?

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Delivering Maximum Impact in the Public Sector

Our guest is Michael Anderson, chief information security officer for Dallas County — the eighth largest county in the United States. He oversees the IT security program for over 6,800 county employees and the electronic records for over 2.6 million residents.

Michael shares his career journey, including 10 years served in the Army in the Intelligence Corp, and over 20 years of strategic and tactical expertise across a wide range of IT disciplines. We’ll find out how he and his team use modern tools to make the most of limited resources, the type of leadership style he uses to inspire and motivate his coworkers, and how he approaches hiring in a highly competitive jobs market.

This podcast was produced in partnership with the CyberWire.

The post Delivering Maximum Impact in the Public Sector appeared first on Recorded Future.

Weekly Digest, September 28

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