decor
 

Planet Big Data logo

Planet Big Data is an aggregator of blogs about big data, Hadoop, and related topics. We include posts by bloggers worldwide. Email us to have your blog included.

 

December 17, 2017


Simplified Analytics

How Mining Industry is adopting Digital Transformation

Digital Transformation is sweeping each industry around us. Those who embrace it and adopt the change will have multitudes of benefits. The mining industry is by far still a very labor intensive and...

...
 

December 15, 2017


Revolution Analytics

Because it's Friday: Editing Star Wars

It's said that a movie is written three times: in the screenplay, in the filming, and finally in the editing. This video essay is about how Star Wars — the original 1977 release, that is — was...

...

Curt Monash

The technology industry is under broad political attack

I apologize for posting a December downer, but this needs to be said. The technology industry is under attack: From politicians and political pundits … … especially from...

...
 

December 14, 2017


Forrester Blogs

US Data Management Platform Market To More Than Double In Five Years

US companies continue to spend more on ad technology (adtech). In our latest Forrester Data Business Technographics® Marketing Survey, 2017, 60% of US respondents expect to increase spending on...

...

Forrester Blogs

Target Buying Shipt Won’t Make Same-Day Delivery Any Easier

Target announced yesterday that it acquired a startup in the grocery delivery space called Shipt for $550MM yesterday.  If you’re familiar with Instacart, you get the gist of Shipt.  If not, think...

...

Forrester Blogs

Net Neutrality Is Dead – Long Live Common Sense

My fellow Americans, the FCC has finally acted on its promise to repeal the regulations known at Net Neutrality. This move has been a magnet for political debate by those on both extremes. Ignore...

...

Forrester Blogs

Agile Plus DevOps Is Slowly But Steadily Reaching Enterprise Scale

Agile is still alive and well and in demand, according to Forrester’s Agile adoption panel. This year, our biannual survey tracking the health of Agile initiatives focused on the main...

...

Revolution Analytics

An introduction to seplyr

by John Mount, Win-Vector LLC [`seplyr`](https://winvector.github.io/seplyr/) is an [`R`](https://www.r-project.org) package that supplies improved standard evaluation interfaces for many common data...

...

Revolution Analytics

The Trouble with Bias, by Kate Crawford

Bias is a major issue in machine learning. But can we develop a system to "un-bias" the results? In this keynote at NIPS 2017, Kate Crawford argues that treating this as a technical problem means...

...

Revolution Analytics

R in the Windows Subsystem for Linux

R has been available for Windows since the very beginning, but if you have a Windows machine and want to use R within a Linux ecosystem, that's easy to do with the new Fall Creator's Update (version...

...

Forrester Blogs

Our New Differentiate With Digital Research Is Coming

I’ve been quiet on here for a while because I’ve had my head down in a major refresh of our digital research. I can’t take all the credit. Far from it. In the new year we’ll be relaunching our...

...
 

December 13, 2017


Forrester Blogs

Who Currently Offers The Best Online Banking Services in Europe?

Online banking is currently the most frequently used banking touchpoint in Europe, with 70% of European online adults now using online banking on a desktop or laptop at least once a month.[i] Most...

...
Solaimurugan V.

List of TOP Deep Learning packages in R

list of deep learning packages in R

Complete list of Deep Learning package in R

R Package Description
nnet Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.
neuralnet Training of neural networks using backpropagation
h2o R scripting functionality for H2O
RSNNS Interface to the Stuttgart Neural Network Simulator (SNNS)
tensorflow Interface to TensorFlow
deepnet Deep learning toolkit in R
darch Package for Deep Architectures and Restricted Boltzmann Machines
rnn Package to implement Recurrent Neural Networks (RRNs)
FCNN4R Interface to the FCNN library that allows user-extensible ANNs
rcppDL Implementation of basic machine learning methods with many layers (deep learning), including dA (Denoising Autoencoder), SdA (Stacked Denoising Autoencoder), RBM (Restricted Boltzmann machine) and DBN (Deep Belief Nets)
deepr Package to streamline the training, fine-tuning and predicting processes for deep learning based on darch and deepnet
MXNetR Package that brings flexible and efficient GPU computing and state-of-art deep learning to R
Next :
Ronald van Loon

What is Big Data And How Does It Work?

Your technology is generating data whenever you use your smartphone, when you chat with your family and friends on Facebook, and when you shop.

Anytime you go online, you’re producing data and leaving a digital trail of information.

All of this data is very complex, there’s so much of it from many different sources, and it’s coming in quickly in real-time.

This is Big Data.

Businesses use all of this data to create customized and improved experiences for all of us.

There are billions of gigabytes of data being generated every single day by people and technologies all around the world.

They use this data to figure out what kind of new drink people will like, or where would be a good place to open up a new store location.

We are living in a world of Big Data.

But businesses are not just simply collecting all of this data that we are generating. They’re actually analyzing it, and finding ways to improve their products and services, which in turn shapes our lives and the experiences that we are having with the world around us.

That is what Big Data is: it’s all of the data being generated in the digital era from all of the different types of technologies out there.

But what is the specific purpose of Big Data? What are major companies doing with it? How does it affect us?

Data is always being generated by digital technologies, whether we are using apps on our phones, interacting on our social media, or shopping for products. All of this information combines with other data sources and becomes Big Data.

Companies even combine Big Data with technologies like Machine Learning and Artificial Intelligence to further improve their ability to enhance our daily lives with faster, more personalized experiences.

Data is being produced by manufacturing machinery, healthcare equipment at the hospital or doctor’s office, electronic airline tickets at an airport, and from the computer in a connected car.

Big Data comes from text, audio, video, and images.

Big Data is analyzed by organizations and businesses for reasons like discovering patterns and trends related to human behavior and our interaction with technology, which can then be used to make decisions that impact how we live, work, and play.

Just think that as we go about our daily lives, our technology and Big Data is helping businesses to understand more about us, and this information is used in turn to shape our experiences for the better.

Ronald

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach.

He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation.

He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions.

Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining.

Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

More Posts - Website

Follow Me:
TwitterLinkedIn

Author information

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach. He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation. He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions. Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining. Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

The post What is Big Data And How Does It Work? appeared first on Ronald van Loons.

 

December 12, 2017


M. Kinde

Taking the Plunge

After much thought, I’ve decided it was time to get a more formal education in analytics. I applied and was accepted to Georgia Tech’s online Master of Science in Analytics program this...

...

Forrester Blogs

Shining The Spotlight On SAST; Some Vendors Flourish, Others Wither

Static Application Security Testing (SAST) has gained renewed popularity as pre-release security testing takes advantage of continuous integration automation early in the software delivery life cycle...

...

Revolution Analytics

A chart of Bechdel Test scores

A movie is said to satisfy the Bechdel Test if it satisfies the following three criteria: The movie has at least two named female characters ... who have a conversation with each other ... about...

...

Curt Monash

Notes on artificial intelligence, December 2017

Most of my comments about artificial intelligence in December, 2015 still hold true. But there are a few points I’d like to add, reiterate or amplify. 1. As I wrote back then in a post about...

...

SoftBase

DB2 z/OS Development Webinar: SQLCODE -911 – Now What?

WEBINAR: SQLCODE -911 – Now What? Thursday, December 14 2017 2:00PM-3:00PM Eastern Register here The Deadlock timeout, or Db2 z/OS sqlcode -911, is a problem that Db2 developers, as well as...

...
Ronald van Loon

Retail: How to Keep it Personal & Take Care of Privacy

For years the retail sector has been making use of customer data to propel their own marketing campaigns forward. What remains to be seen in this regard is, how the future of better data collection and technology, coupled with an enhanced need for customer personalization shakes up this procedure in the future.

For the retail sector the future promises amplified feasibility and a better distribution network. We even have data centric innovations that use up data to point out towards what the customers want. On the other side of the coin, customers love every little bit of personalization that is thrown at them. Personalization feels like a brand is communicating with them, and they love every bit of it. But, the only drawback here is that customers are beginning to question what happens to data collected by or through them? Simply put, customers want the best of both worlds; a complete personalized experience, with the perks of enhanced privacy. The onus now lies on protagonists within the retail sector, and how they are able to meet these enhanced needs from customers.

Up Close with Customers

The recent wave towards providing a better customer experience has meant that retailers now value customers more than they ever did before. This has meant that retailers are bidding to go up close with customers and find out exactly what they are looking for. A recent study conducted at a mass level across the globe has garnered sufficient insight into what the customers want from this digital transformation. Are they okay with the huge chunks of data that is collected through them? Or, are they just indifferent to the whole issue? Let’s have a look at some of the most interesting facts and figures found out through this authentic research. 

  • Almost 90 percent of all customers are concerned regarding the security of their data. The study found out that no less than 9 out of every 10 people were concerned about data security and the privacy that was compromised in collecting such data. This means that a vehemently strong subgroup within the large group of customers is definitely not ok with the current flow of data achieved by moguls in the retail industry. The 90 percent customers that felt their data was insecure and that they needed more transparency in this respect also pointed out that they wanted to know where their data is going. What happens to the data should be communicated to them and they should know what happens with their personal information.
  • 80 percent of all customers want to enjoy a personalized experience from their retailer. The personalized experience makes them feel more at ease and they can communicate at a whole different level with retailers of all sorts. Customers don’t want to be treated as numbers on a fact sheet and love it when organizations show a semblance of personalization towards them. This now presents a conundrum for retailers vying to put customers first. For personalization to be provided, customer data has to be collected. Both these activities walk hand in hand and it is imperative for one to happen for the other to take place.
  • 86 percent of all customers want to know whether their data will be transferred to other third parties to feed their marketing campaigns. This is a genuine claim as customers have long been kept unaware of whether their data goes on to other parties or not.
  • Customers that were part of this global survey also outlined three of the factors that they would like to see before they get aligned with a business from the current marketing structure. 94 percent of all customers felt that businesses should be placing emphasis on data privacy and how important it is for garnering customer trust and they would love to be aligned with a business that does so. 95 percent of all customers feel that personalization is the need of the day and should be provided for customers to form a stronger bond with the brand they like or want to be associated with. This personalization can open doors to a new era of brand loyalty. 92 percent of customers also believed that businesses need to resolve queries in a stringent manner. The queries need to be resolved quickly.

The key here is to get all the basics right. The journey for better customer satisfaction begins with understanding what customers want, because if this is not achieved organizations actually risk losing customers.

Providing Personalization

Providing personalization is not as simple as it seems. With over millions of customers at times, ensuring a personalized experience requires the power of smart analytics. Data algorithms lead the way in this regard and provide a simple yet proficient solution. Data from multiple sources can be fed to these algorithms, which can in turn give retailers the right tools for targeting the right customers through a seamless form of personalization across all channels.

Several fashion brands have already implemented the right mix of personalization. Fashion brands have realized the importance of personalization in their offerings and have come up with ways to predict products that will appeal to a certain customer. Another subtle approach to the conundrum of personalization will be for retailers to give customers the leverage of shaping their loyalty cards according to their own preferences. This would mean that customers could tailor the offers they get on their loyalty cards based on their preferences. But, despite the benefits of personalization it often collides with interests of customers who want their data to be safe and secure. To understand this better, we need to take a look at GDPR regulations.

GDPR

What the new General Data Protection Regulation Law does is it shifts data control from businesses to clients. Using this control, clients would be able to specifically decide the companies they want to store their data and the companies they would rather pass. Moreover, they can specify the manner they want their data to be used by such organizations. As per the GDPR, clients can exercise the following rights:

  • Submit a formal request for accessing their data that a company has
  • Rectify the data present with a company
  • Ask an organization to completely delete their data
  • Withdraw their consent at any given time
  • Obtain and reuse their data across different platforms for individual purposes

Ask the Readers

Every single customer can give their insight to propose a solution to this conundrum. This is why we ask all our readers to suggest whether customers need a solution to control their data? And should consumers communicate with companies anonymously, by sharing some basic information or by providing personal data? Below you can find an example how you can (temporarily) provide access to the personal information you would like to share so the retailer can personalize its offers.

We look forward to seeing what you think and how retailers can flex their offerings based on the opinion of all customers.

About the Authors

Bob Nieme

For over 15 years, Bob Nieme has been a Digital Transparency protagonist, being the most essential condition for long term relationships based on trust and mutual interest.

In 2014 Bob was recognized as a Privacy by Design Ambassador by the Information and Privacy Commissioner of Ontario, Canada and in 2013 he was admitted to the Advisory Board of the Department of Mathematics and Computer Science of Eindhoven University of Technology. As a Data Science Ambassador, he initiates and supports various start-ups and education programs. Bob Nieme founded 3 leading data-technology companies: Adversitement specializes in data process management, O2MC I/O offers a prescriptive web computing framework, and Datastreams.io empowers data-driven collaboration by providing governed access to trusted data sources.

Ronald van Loon

Ronald van Loon is, Director at Adversitement, an Advisory Board Member and Big Data & Analytics course advisor for Simplilearn. He contributes his expertise towards the rapid growth of Simplilearn’s popular Big Data & Analytics category.

If you would like to read more from Ronald van Loon on the possibilities of Big Data and the Internet of Things (IoT), please click “Follow” and connect on LinkedInTwitter and YouTube.

Ronald

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach.

He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation.

He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions.

Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining.

Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

More Posts - Website

Follow Me:
TwitterLinkedIn

Author information

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach. He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation. He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions. Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining. Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

The post Retail: How to Keep it Personal & Take Care of Privacy appeared first on Ronald van Loons.

 

December 11, 2017


Revolution Analytics

Personal note on joining the Microsoft Cloud Advocates team

A quick personal note: today is my first day as a member of the Cloud Developer Advocates team at Microsoft! I'll still be blogging and events related to R, and supporting the R community, but now...

...

Forrester Blogs

20-Year Predictions

At a client dinner last week in Amsterdam we turned from talking digital transformation and customer experience to a more future-oriented topic:  What’s going to happen in the next 20 years? It...

...

Forrester Blogs

What Chief Customer Officers Talk About Over Dinner

For a CX transformation effort to go beyond the small and tactical, organizations need an executive in charge of leading the effort. Although these senior leaders go by various titles, the most...

...

Forrester Blogs

A Digital Strategy Is A Prerequisite To Maximize The Return On Digital Investments

At the core of all ROI calculations are costs and benefits. However, there is no single catchall equation that allows your organization to calculate the ROI from digital investments. Benefits from...

...
InData Labs

A Guide to Selecting a Data Science Vendor

Making a choice of a data science vendor can be a make-or-break decision for your company so here are some points to consider when developing a solid strategy for vendor selection in the data science technology space.

Запись A Guide to Selecting a Data Science Vendor впервые появилась InData Labs.

 

December 10, 2017


Simplified Analytics

How to conduct a Digital Transformation Workshop?

Digital disruption is really fast.  The change it brings is sweeping the business landscape at such a furious pace that old ways of thinking are not relevant today. Organizations are under...

...
 

December 08, 2017


Revolution Analytics

Because it's Friday: 3-D Animation

We've had 3-D animation for quite a while now, of course, but what happens when a traditional 2-D animator uses a virtual reality system to draw? When famed Disney animator Glen Keane sketches his...

...

Forrester Blogs

TV Industry: It’s Time For A Round of “Stop, Keep, Change”

I’m obsessed with the future of television. A couple years ago, I pursued it largely as a research exercise. Today, I’m up in arms based on my own experience as a TV consumer. The rumors are true:...

...
 

December 07, 2017


Revolution Analytics

In case you missed it: November 2017 roundup

In case you missed them, here are some articles from November of particular interest to R users. R 3.4.3 "Kite Eating Tree" has been released. Several approaches for generating a "Secret Santa" list...

...

Forrester Blogs

Retailers’ CX Slips In 2017

Across industries, improvement in CX leads to growth in total revenue. Facing stiff competition on- and off-line, retailers need to invest in superior CX to differentiate themselves and foster the...

...

Forrester Blogs

The Forrester Wave: Digital Experience Service Providers, Q4 2017

In our 23-criteria evaluation of digital experience service providers, we identified the 14 most significant ones — Accenture, Deloitte, Digitas, EPAM, Epsilon, IBM, Isobar, MRM//McCann, PwC,...

...
Silicon Valley Data Science

Q&A: On Being Data-Driven

Editor’s Note: This is a transcript of the Q&A portion of a webinar we held earlier this year, called “What it Means to be Data-Driven”. These questions have come up repeatedly at other talks we’ve given on the topic, and so we decided to present them in blog format in the hopes that they will reach and help even more people. Have additional questions? Leave them in the comments below.

Q: What is the minimum viable platform infrastructure I need to play with data? It’s not easy to transition an entire organization’s infrastructure, and in order to convince people to do that, I need to show a proof of concept first.

A: We’ve never heard of a successful data project that went “zero to hero” overnight. It’s true that you need to move through stages, proving what works. You can create a minimum viable environment from anything, just on your laptop or in a couple of virtual machines in the cloud. That itself isn’t the issue—it’s when you get to architecting and building out the larger thing that risk comes in. Once we get past a proof of concept stage, we do what we call a “steel thread.” That steel thread is a valuable business case, the solution to an important problem. For example, it could be personalizing product pages for customers.

As we build out the parts of an ultimate platform, it’s necessary to solve that one problem first. By orienting your build-out around this steel-thread business case, you create both immediate business value and reusable parts that can support additional use cases.

Q: How do I talk to my leadership about experimentation and failure in a way that gets them on board?

A: Focus on the problems that data can solve. For example, saying “You have this business problem, I think that this data has the answer.” Also, you could point out that there is power in the data, but it is unknown and so you need to manage the risk (through experimentation platforms). The A/B testing used in products and web analytics shows where experimentation has been industrialized to prove optimization and worth. So there’s lots of external proof you can look to.

Q: What processes do you put around an iteration loop to set expectations and keep it orderly?

An iteration loop that shows starting with business goals and working through understanding data, preparing data, modeling, evaluation, and deployment

A: This is the foundation of our agile data science process, as detailed in this blog post by CTO John Akred. We create “epics”—which are large themes that we want to investigate in our data science explorations—and then we work in a cadence of two-week sprints. At the beginning, we work on one of the epics—for example, seeing whether we can predict the buying behavior of customers. Then we break down what we need to do into what are called “stories” in agile methodology. After looking into that for two weeks, we check back with business stakeholders and tell them what we’ve learned so far. Agile is part of how we ensure that business has regular buy-in.

Q: Would you consider data engineering as part of the Cloud, DevOps, or Open Source section of the Experimental Enterprise?

A: Data engineering is really about constructing the architecture that supports data science on top of it, so in many ways you could say the collective of data engineering has everything below the data science brick. It’s a lot of plumbing and software engineering work.

Data Science, Agile, Platforms & APIs, Cloud, DevOps, Open Source

It’s worthwhile to reiterate that we do believe in the close association of data engineers and data scientists. It’s not uncommon for data scientists to build models in R, for example, and when one of these models is thrown over to the engineers it needs to be re-implemented in Java for production purposes. This system is suboptimal for a few reasons:

  • It’s slow.
  • It’s open to mistakes in translation.
  • It’s very difficult for data scientists to dig in and figure out what’s going on if things don’t go according to plan.

So we believe that both disciplines must work together, and also that tools like Spark are useful, in that they blur the lines and allow both sides to use the same systems for development and production.

Q: It sounds so simple when you lay out the idea of doing things with data, but I don’t even know where to start inside of my traditional organization. What are the immediate, concrete steps I can take to work toward the things you’re recommending?

A: The best way to spread data-driven thinking through an organization is by solving a problem. That is famously how Intuit retooled from being a financial services company to being a data company—it was one department arguing that data could help business problems, and a manager supporting that. In other words, demonstrating success is what moves data projects forward.

So in terms of concrete steps, I’d point to the following questions. (You can do this big, or you can do this small.) What are the problems you want to solve? What data do you have? Can you combine those things to take a step toward solving a small burden or problem? You may need to get resources, you may need to persuade people, and so on—but it’s really as simple and as complicated as this. It’s simple emotionally; it’s complicated because people are involved and data is everywhere.

The post Q&A: On Being Data-Driven appeared first on Silicon Valley Data Science.

 

December 06, 2017


Revolution Analytics

The British Ecological Society's Guide to Reproducible Science

The British Ecological Society has published a new volume in their Guides to Better Science series: A Guide to Reproducible Code in Ecology and Evolution (pdf). The introduction, by , describes its...

...

Mario Meir-Huber

Inoxoft – Trusted Software Development Company

Inoxoft is a technology company that operates in a variety of service and product provision areas in order to satisfy the needs of their clients. For the best affordable prices, you get the help you in any type of business you operate in. some of their services include:

Software product development

This aims at making your business better in every aspect. Other than the operational aspect, the organizational parts will also become better with the software products from this company.

Web and cloud development

The consultants and engineers in this category of service provision work together to give you a very professional product. They also work as fast as they can while keeping you in the loop the whole time so that you give a personal touch to the website. This saves a lot of time and resources as your taking part ensures every unsatisfactory step is dealt with immediately. They are conversant with a number of development technologies ranging from PHP to Angular JS Development. You just state the one you prefer and it is done your way.

Quality assurance and testing

Those who already have software that they need to be verified or validated can find immense help from this company. The quality assurance team https://inoxoft.com/service/quality-assurance-and-testing/ ensures that the analysis and testing process of the product is thorough enough to give you an honest opinion including possible tips to make your product better.

IT consultation services

Every business needs technology to get to the next kevel nowadays. This is something the company understands very well and as such, they ensure every consultation is geared towards using technology to take your business to the next level.

Custom software development

The provision of solutions that actually work in the real is one of the main objectives of this company. They have specialists who have the necessary knowledge about embedded software and database management that can help in optimizing your daily business operations

Mobile application development

With highly skilled developers https://inoxoft.com/service/mobile-application-development who are conversant with different operating systems, your mobile application idea will become a reality with this company. This team of developers is always ready to rise above any challenge, which makes them the best in the market.

Custom application development

With the custom development services that this company offers, your ideas and visions can become reality. Whichever part of your business you want to improve on, the team understands that it’s your idea and their only purpose is to implement it. they therefore refrain from making unnecessary changes while still giving you the best advice that will the final product as solely your own.

With over 90 specialists in different fields, Inoxoft software development company https://inoxoft.com/service/web-and-cloud-development guarantees that your needs will be met. Product delivery is always on time and as the client, you have the final say on whether the product has been delivered as per your expectations or not. This ensures client satisfaction, something that the company tries to capitalize on. In case of any concerns or complaints, you get feedback within the shortest time possible. High quality products and services together with how well they meet clients’ needs are what make this company one of the best in the technology industry,

The post Inoxoft – Trusted Software Development Company appeared first on Techblogger.


Forrester Blogs

Forrester Data Infographic: Who’s Driving AI Adoption In The Enterprise?

There’s no doubt that artificial intelligence (AI) and its underlying technology building blocks are top of mind for enterprises today. But who’s driving this change and its adoption within their...

...

Forrester Blogs

Digital advertising and marketing under the GDPR: A question of How, not If.

The May 25th deadline announces a period great reckoning for data-driven marketing in Europe. The question marketers ask me most often is “Can we continue to do this…” or in other words, will this...

...
Ronald van Loon

What Is AI? | Artificial Intelligence For Beginners

Do you remember the first time that you saw R2D2 and C3P0 from Star Wars? These two robots exhibited human-like behavior as they interacted with people and the world around them. How about when the whole world was subject to machine control in The Matrix? That’s a pretty frightening concept. These movies, like many others, have their own depictions of what Artificial Intelligence looks like, and means to us as a society.

The term Artificial Intelligence has been popularized in books and movies to depict futuristic settings where machines take over the world, or live with us side by side as if they were humans. But did you know that Artificial Intelligence is actually here with us, today? That we as a society and a culture are already embracing Artificial Intelligence in our daily lives, everyday? We no longer live in a world where Artificial Intelligence is just a story in our books, or on the big screen when we go to the movies. But if Artificial Intelligence is already here, what is it really like? How does it work? How does Artificial Intelligence actually compare to the fictional representations of AI in our culture?

 

About the Author

Ronald van Loon is an Advisory Board Member and Big Data & Analytics course advisor for Simplilearn. He contributes his expertise towards the rapid growth of Simplilearn’s popular Big Data & Analytics category.

If you would like to read more from Ronald van Loon on the possibilities of Big Data and the Internet of Things (IoT), please click “Follow” and connect on LinkedInTwitter and YouTube.

Ronald

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach.

He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation.

He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions.

Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining.

Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

More Posts - Website

Follow Me:
TwitterLinkedIn

Author information

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach. He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation. He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions. Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining. Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

The post What Is AI? | Artificial Intelligence For Beginners appeared first on Ronald van Loons.

 

December 05, 2017


BrightPlanet

Utilize OSINT Services for Better Fraud Prevention and Detection

The amount of purchases being made on e-commerce sites is at an all-time high. Today, you can buy almost anything on the Internet such as, new tennis shoes, a vehicle, a new mattress, and so much more. Unfortunately, this rise in e-commerce activity has also spiked an increase in the amount of counterfeit, stolen, and […] The post Utilize OSINT Services for Better Fraud Prevention and Detection appeared first on BrightPlanet.

Read more »

Revolution Analytics

On the biases in data

Whether we're developing statistical models, training machine learning recognizers, or developing AI systems, we start with data. And while the suitability of that data set is, lamentably, sometimes...

...

Forrester Blogs

Consumer Good Unclear in CVS/Aetna Merger

CVS and Aetna have formalized a merger agreement with CVS set to acquire Aetna for roughly $69 Billion dollars. In deals of this nature, approval hinges on one thing: consumer good. The Department of...

...
 

December 04, 2017


Revolution Analytics

AI School: Microsoft R and SQL Server ML Services

If you'd like to learn how you use R to develop AI applications, the Microsoft AI School now features a learning path focused on Microsoft R and SQL Server ML Services. This learning path includes...

...
Ronald van Loon

How to Create a Smart City with IoT and Big Data

These days, it seems like every city is trying to implement “smart” initiatives. Take Singapore for example, now known for the most extensive effort to collect data on citizens’ daily living habits/routines ever attempted by a municipality. Even Bill Gates has pumped millions of dollars into helping Phoenix in their smart city efforts.

But what do we mean when we talk about a “smart city”? Is it the better use of resources within the city center, or the fact that all resources being wasted would eventually be overcome? Eventually, we can all agree to disagree, as there is a perception most people have in their mind with regards to the functionality and the phenomenon we know as the smart city.

Since development has been rapid, it is difficult to keep an eye on all that is happening. Industries have started adapting the Internet of Things (IoT) and wish to implement it in a broader level to increase efficiency. But regardless of what’s transpired to-date in all industries, one thing that does not escape the eye is M2ocity’s rollout in France.

To talk over this matter, I got in touch with the man behind these technicalities: Xavier Diab, IT director at M2ocity. Readers who are not yet familiar with M2ocity should know that the company is France’s biggest telecom operator for the Internet of Things (IoT). A result of a merger between water supplier Veolia and operator Orange, M2ocity has emerged as a leading protagonist in the market for IoT in France.

Drivers for Merger

Veolia water and Orange gave birth to m2ocity in 2011, bringing both companies’ services together in the form of a smart metering entity. M2ocity has expanded its range from France to other areas of the world. Veolia water, which had a strong presence across France, initiated the union with Orange, fostering hopes that both the companies could improve their quality of customer service by safeguarding resources and optimizing performance at scale

The merger between Veolia water and Orange has come a long way from where it started, as M2ocity now stands at a crucial position in the drive towards a smart city.

One of my first questions to M2ocity’s Xavier Diab was about the drivers behind the merger into M2ocity, France’s biggest telecom operator for IoT and applications. Xavier responded that water was and is a vital resource for inhabitants living in all major cities and metropolitan centers around the world. Since water resources are very important, it is imperative that all stakeholders involved take steps to preserve and manage it in a “smart” way.

Although we know about the importance of water as a commodity, we haven’t taken concrete steps to address its preservation. In France alone, around 343 billion gallons (1,300 billion liters) of all portable water goes to waste due to leaks in hydraulic systems across French cities. The extent of the waste can be equated to 25% of the country’s total water being lost due to minor leaks across the region. These leaks come at a cost to both consumers and operators.

M2ocity, being the biggest player in the French telecom market, hopes to implement a three point initiative for better waste management. The initiative includes smart city networks, smart objects, and energy efficiency, which end up forming the smart city itself.

Challenges

M2ocity’s aim to create a smart city was met by numerous challenges. Some of the challenges they faced can be listed in the following ways:

  • Water Leakages: As mentioned above, water leakage was a big hindrance in the fulfillment of the smart city project. Water leakages are usually comprised of end point leakages, underground leakages (the most complicated ones), and above ground leakages.
  • Data Collection: Along their way, M2ocity realized that data collection for IoT is not as easy as it sounds. Since there is are standards available in the market, it is difficult to collect data in a seamless way. The availability of different formats means that collectors often face a conundrum of what to collect, how to monitor, and what to use.
  • Too Much Data: While the implications of collecting data also proved to be problematic, the high scale of data present offers another challenge. As I have highlighted in ⦁ previous articles, AI or IoT can only be successful if the data is cleansed.. The challenges in delivering data with the added responsibility to rationalize and cleanse data makes for an interesting challenge that can only be adressed through the use of seamless methods that make the process flawless. While the size of the data brings challenges to the collection and setting a metric for the compilation of data, there are also numerous implications when it comes to visualizing/displaying the data . The visualization of such high quantities of data requires both performance and architectural capabilities. For M2ocity to display these proficiencies, it was imperative that it got in touch with a data integration firm that had both better standardized devices and formats.

The Solution

When asked about the solution to the problem, Xavier responded:

For M2ocity, that data integration entity was Talend, which offered the flexibility and reliability they were looking for. M2ocity’s data needs were diverse and required the best of Talend to process the information in a way that would be suitable for both M2ocity and its customers. Talend’s format, collection intervals, and scalability fit perfectly with what M2ocity required.

Xavier elaborated on the company’s selection criteria, noting it had numerous vendors from which it had to choose. However, despite other vendor bids, the offer from Talend beat out competing solutions for its ability to keep pace with rapidly evolving business needs, an easy-to-use interface, and a reasonable pricing model that was in-line with their budget.

Results

It has been over 7 years both firms went into an agreement, and the ride has been nothing short of incredibly successful. Some of the results Xavier pointed to as metrics of the project’s success include:

  • More than 2.3 million smart sensors have been installed across 3,000 cities.
  • The system manages around 20 million messages of data from clients per day.
  • There are around 140 million messages collected and displayed every week.

 “We collect all types of data—water, temperature, electricity, pollution, noise data, etc.—and analyze them to develop innovative public services in smart cities.”

Xavier Diab

The future for the IoT and better data integration is indeed bright, and M2ocity wants to expand its services into lighting, safety, security, and temperature.

If you would like to read more from Ronald van Loon on the possibilities of Big Data and Artificial Intelligence please click “Follow” and connect on LinkedIn and Twitter.

Ronald

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach.

He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation.

He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions.

Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining.

Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

More Posts - Website

Follow Me:
TwitterLinkedIn

Author information

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach. He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation. He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions. Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining. Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

The post How to Create a Smart City with IoT and Big Data appeared first on Ronald van Loons.


Forrester Blogs

The Power Of Our Brand Energy Framework, Now In Your Hands

A FOND FAREWELL TO BRAND MANAGEMENT (AS WE KNEW IT) It is apparent to marketers who’ve chosen to look with a critical eye that the old-school, text book, command-and-control branding is headed...

...

Revolution Analytics

R 3.4.3 released

R 3.4.3 has been released, as announced by the R Core team today. As of this writing, only the source distribution (for those that build R themselves) is available, but binaries for Windows, Mac and...

...
 

December 03, 2017


Simplified Analytics

Impact of Digital disruption on Education sector

As Charles Darwin once said, “It is not the strongest of the species that survive, nor the most intelligent, but the one most responsive to change”. Commercial industry is radically changed by the...

...
 

December 01, 2017


Revolution Analytics

Because it's Friday: The Whole of the Moon

As we've noted before, the Solar System is a big place. You can watch a voyage from the Sun to Jupiter, and it takes 45 minutes at the speed of light. A scale model of the Solar System, with the Sun...

...

Revolution Analytics

A case study in messy data analysis: the Australian same-sex marriage survey

Last month the Australian people signaled their approval of legalizing same-sex marriage by a 62%:38% margin in a national survey. (On a personal note, I was elated and relieved by the result: my...

...

Forrester Blogs

Selling Your Vision: What I Look For In A Briefing

I’m an analyst. It’s my job to formulate opinions on your product and company and provide that insight to my clients. Prior to joining Forrester, the impact analysts have on the...

...

BrightPlanet

Differentiate the Deep Web and Dark Web with New Overview Resources

At BrightPlanet, we live and breath everything related to the Deep Web and Dark Web, and write about both topics often in our Deep Web University blog. Working in both the Deep Web and Dark Web allows businesses to gain remarkable insight into their organization by harvesting data otherwise absent from ordinary Surface Web data […] The post Differentiate the Deep Web and Dark Web with New Overview Resources appeared first on BrightPlanet.

Read more »
Ronald van Loon

Mobile Data Traffic Explosion: Explore IoT, 5G, & VR Opportunities

The technology revolution of the 21st Century has opened the avenues towards many possibilities. We now have a mobile data traffic explosion on our hands, which can end up expanding growth while we move into the next decade. Due to a continuous upwards curve in the number of people using mobile phones, global mobile data is set to witness a steep rise in its chart. The rise has also been propagated through technological advances when it comes to the Internet of Things (IoT) and the use of 4G networks in expanding the scope of all that is offered to the consumers.

Experts have also suggested that global mobile data traffic is set to explode and reach a figure of 100 exabytes per month in 2023. This would mean that annual figures would surge well over 580 exabyte. Moreover, there would also be an increase in the number of connected devices. There would be 31.6 billion devices in the world by 2023, which would be a sizable increase from the 17.5 billion devices we have now. This expected rise in mobile data traffic and the presence of newer and better technology outlets has meant that firms operating in the industry need to up their game. The activities towards introducing a better range of services and improvement in CX have already started. A few advances in this regard will be discussed below.

Upcoming Mobile Applications

With a massive explosion of traffic on the cards, cellular networks have not backed away from embracing the challenges and presenting valid innovations. Some of the advances in this regard include and are not limited to:

Internet of Things

One thing that we can successfully predict about the future is the wide range of devices that will be connected to the IoT. Devices connected to the IoT are expected to grow at an annual growth rate of 19 percent until 2023. To summarize this information in figures, the world would have around 20 billion of the expected 30 billion devices in total related to the IoT by 2023. By connected IoT devices, we mean connected machines, cars, sensors, meters, consumer electronics, point of sale terminals, and consumer wearables.

By the end of 2017, there will be roughly 0.5 billion IoT devices that have a cellular connection with them. This number will increase over time, and is projected to reach around 1.8 billion by the year 2023. This would add up to be 75 percent of the whole wide area category. Presently, the most dominant technology in the widespread wide-area-segment is GPRS/GSM. However, by the time we reach 2023, cellular connectivity will mainly be centered towards 5G and LTE.

Voice Applications

Voice over LTE or VoLTE (Voice over Long Term Evolution) subscriptions are believed to exceed over 650 million by the year end. The rising number of customers this year and for the coming years will create a foundation for enterprise communication and for interoperable consumer services on connected devices.

VoLTE has currently been launched over 125 networks across 60 countries in all regions. The number of subscribers connected to VoLTE will eventually reach more than 5.5 billion customers by the end of the year 2023. The high increase in connection would account for more than 80 percent of all LTE and 5G subscriptions by that time.

VoLTE is basically delivered through the IMS or the IP Multimedia Subsystems, and allows operators to provide high quality communication and other data services on smartphones. Functionalities in this setup include HD voice, HD voice+, music within calls, video communication, content sharing in calls, evolution to chat bots, several devices sharing one phone number, and IP messaging. WI-FI calling is also built on the core network systems present in VoLTE. This gives operators the leverage to extend their offerings to areas with limited coverage. WI-FI calling has been incorporated on 55 networks in over 30 countries.

Event Experiences

Data compiled from highly anticipated sporting events has illustrated the growing use of mobile services by spectators during these competitions. Studying the feasibility for this setup, operators have now planned to implement 5G technologies at upcoming events such as the 2018 meet in Pyongyang and the 2020 event in Tokyo. This would be done to showcase an enhanced customer experience during these events by  more engaging content such as video integrated with real-time data, historic event data, sports performance data, live event replays, event highlights, interactive statistics, event-related social media, and exclusive behind-the-scenes content, including press conferences and interviews.

The statistics for this to be implemented have been gathered in an in-depth way. At the recent 2016 event in Rio, there was four times more data traffic carried by networks as compared to the 2012 event in London. Data from another event held in Hungary during the current year shows that the daily mobile data traffic raised by more than 10 times the volumes in areas associated with the event. To meet these magnified expectations from customers, operators would need to effectively prepare well before the event kicks off.

The average traffic of data per smartphone is also on a steep rise, and as mentioned above would reach new heights by the end of 2023. Consumers in North America, which has the highest traffic and usage, are expected to consume 7.1 GB of data per smartphone per month by the end of this year. This usage rate is expected to increase up to 48 GB per smartphone per month, by the end of 2023. Simultaneously, Western Europe currently has a usage rate of 4.1 GB, which is predicted to increase up to 28 GB by the end of the year 2023. India will also experience the impact of this growth, which makes this a global forecast rather than a regional trend.

Different Types of Networks

The move into the future would require an evolution in networks to meet the enhanced needs of the future. As networks evolve further, there will be a great opportunity to solve present use cases as well as to meet the demands of the new ones that arise when 5G is implemented. The evolution to 5G networks would mean that the usage of the data will be met by an increasing network quality. Mobile broadband is currently used for browsing, going over your social media, listening to some music, and watching a video. The evolution of data networks through 5G will enhance this experience and make room for creative live sport events and concerts, 4K/8K videos, and an enthralling AR/VR gaming experience. This would be replicated across all major factors such as automotive, manufacturing, healthcare, technologies, energy, and utilities. The use case for all of these industries would increase over time, and the evolution to 5G will be present to support the increase.

With unlimited prospects, Telcos will play an even more important role in ensuring the smooth flow of affairs into the modern era of possibilities. Users wishing to step into the possibilities will be aided by the presence of compatible offerings of Telcos, aligned with all that has been mentioned above.

The data for this article has been garnered from the mobility report by Ericsson. I captured this content on behalf of DevMode Strategies during an invite-only tour of the Ericsson Studio in Kista. Rest assured, the text and opinions are my own. I would like to thanks them for giving me the privilege to use their exemplary research statistics for my article and inviting me in Kista.

Interested readers can download the report by clicking here.

About the Author

Ronald van Loon is an Advisory Board Member and Big Data & Analytics course advisor for Simplilearn. He contributes his expertise towards the rapid growth of Simplilearn’s popular Big Data & Analytics category.

If you would like to read more from Ronald van Loon on the possibilities of Big Data and the Internet of Things (IoT), please click “Follow” and connect on LinkedIn, Twitter and YouTube.

Ronald

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach.

He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation.

He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions.

Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining.

Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

More Posts - Website

Follow Me:
TwitterLinkedIn

Author information

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach. He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation. He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions. Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining. Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

The post Mobile Data Traffic Explosion: Explore IoT, 5G, & VR Opportunities appeared first on Ronald van Loons.


Forrester Blogs

Two Minutes of Advice for B2B Marketers On Content Marketing Platforms

In April 2017, I completed a Wave report on content marketing platforms (CMPs) – specifically, Contently, Kapost, NewsCred, Opal, Percolate, ScribbleLive, Skyword, Spredfast, and Sprinklr – for B2C...

...
decor