Why Big Data Keeps Getting Bigger


This post is by Jeff Desjardins from Technology – Visual Capitalist


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Why Big Data Keeps Getting Bigger

Why Big Data Keeps Getting Bigger

The sun never sets on the creation of new data.

Yes, the rate of generation may slow down at night as people send fewer emails and watch fewer videos. But for every person hitting the hay, there is another person on the opposite side of the world that is turning their smartphone on for the day.

As a result, the scale of data being generated—even when we look at it through a limited lens of one minute at a time—is quite mind-boggling to behold.

The Data Explosion, by Source

Today’s infographic comes to us from Domo, and it shows the amount of new data generated each minute through several different platforms and technologies.

Let’s start by looking at what happens every minute from a broad perspective:

As FTC cracks down, data ethics is now a strategic business weapon


This post is by Danny Crichton from TechCrunch


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Five billion dollars. That’s the apparent size of Facebook’s latest fine for violating data privacy. 

While many believe the sum is simply a slap on the wrist for a behemoth like Facebook, it’s still the largest amount the Federal Trade Commission has ever levied on a technology company. 

Facebook is clearly still reeling from Cambridge Analytica, after which trust in the company dropped 51%, searches for “delete Facebook” reached 5-year highs, and Facebook’s stock dropped 20%.

While incumbents like Facebook are struggling with their data,

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Italy stings Facebook with $1.1M fine for Cambridge Analytica data misuse


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Italy’s data protection watchdog has issued Facebook with a €1 million (~$1.1M) fine for violations of local privacy law attached to the Cambridge Analytica data misuse scandal.

Last year it emerged that up to 87 million Facebook users had had their data siphoned out of the social media giant’s platform by an app developer working for the controversial (and now defunct) political data company, Cambridge Analytica.

The offences in question occurred prior to Europe’s tough new data protection framework, GDPR, coming into force — hence the relatively small size of the fine in this case, which has been calculated under Italy’s prior data protection regime. (Whereas fines under GDPR can scale as high as 4% of a company’s annual global turnover.)

We’ve reached out to Facebook for comment.

Last year the UK’s DPA similarly issued Facebook with a £500k penalty for the Cambridge Analytica breach, although Facebook

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With Tableau and Mulesoft, Salesforce gains full view of enterprise data


This post is by Ron Miller from TechCrunch


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Back in the 2010 timeframe, it was common to say that content was king, but after watching Google buy Looker for $2.6 billion last week and Salesforce nab Tableau for $15.7 billion this morning, it’s clear that data has ascended to the throne in a business context.

We have been hearing about Big Data for years, but we’ve probably reached a point in 2019 where the data onslaught is really having an impact on business. If you can find the key data nuggets in the big data pile, it can clearly be a competitive advantage, and companies like Google and Salesforce are pulling out their checkbooks to make sure they are in a position to help you out.

While Google, as a cloud infrastructure vendor, is trying to help companies on its platform and across the cloud understand and visualize all that data, Salesforce as a SaaS vendor

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Automakers have a choice: Become data companies or become irrelevant


This post is by David Riggs from TechCrunch


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While Bezos amassed billions, Apple took over our culture, Google became ubiquitous and software ate the world, the automotive industry needed a bailout. Since then, they have more or less recovered, but they are no longer the undisputed titans of American industry. That title now belongs to companies that traffic in data, and the FAANGs of the world have their digital fingers on the pulse of what moves us.

However, not all hope is lost for the old auto titans. Cars are here to stay, whether they have drivers or not. Automakers can ensure their seat at the table by

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Tealium, a big data platform for structuring disparate customer information, raises $55M led by Silver Lake


This post is by Ingrid Lunden from TechCrunch


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The average enterprise today uses about 90 different software packages, with between 30-40 of them touching customers directly or indirectly. The data that comes out of those systems can prove to be very useful — to help other systems and employees work more intelligently, to help companies make better business decisions — but only if it’s put in order: now, a startup called Tealium, which has built a system precisely to do just that and works with the likes of Facebook and IBM to help manage their customer data, has raised a big round of funding to continue building out the services it provides.

Today, it is announcing a $55 million round of funding — a Series F led by Silver Lake Waterman, the firm’s late-stage capital growth fund; with ABN AMRO, Bain Capital, Declaration Partners, Georgian Partners, Industry Ventures, Parkwood, and Presidio Ventures also participating.

Jeff Lunsford, Tealium’s

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Timeline: The 30-Year History of the World Wide Web


This post is by Frank Cardona from Technology – Visual Capitalist


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The World Wide Web is now as old as the typical millennial.

On March 12, the World Wide Web celebrated its 30th birthday. Over the last three decades, we’ve seen it mature from the first webpage to having a ubiquitous presence in our lives.

Visualizing the History of the World Wide Web

Today’s infographic comes to us from the App Institute, and highlights key milestones since the inception of the web. We’ll look at some major developments on this timeline that defined what the web is today.

30 Years of the World Wide Web

Tim Berners-Lee Proposes The World Wide Web on March 12, 1989

Although the giant network of computers that formed the Internet – and its “ARPANET” predecessor – already existed, there was no universal way of writing, transmitting, storing, and accessing the Internet in a clean and organized manner.

A computer scientist named Tim Berners-Lee is credited with the first formalized

Web Proposal Flow Chart
Browser Market Share
Web Crawler Search Engine
Web Access Device Market Share
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Microsoft Azure sets its sights on more analytics workloads


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Enterprises now amass huge amounts of data, both from their own tools and applications, as well as from the SaaS applications they use. For a long time, that data was basically exhaust. Maybe it was stored for a while to fulfill some legal requirements, but then it was discarded. Now, data is what drives machine learning models, and the more data you have, the better. It’s maybe no surprise, then, that the big cloud vendors started investing in data warehouses and lakes early on. But that’s just a first step. After that, you also need the analytics tools to make all of this data useful.

Today, it’s Microsoft turn to shine the spotlight on its data analytics services. The actual news here is pretty straightforward. Two of these are services that are moving into general availability: the second generation of Azure Data Lake Storage for big data analytics workloads and

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Big companies are not becoming data-driven fast enough


This post is by Ron Miller from TechCrunch


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I remember watching MIT professor Andrew McAfee years ago telling stories about the importance of data over gut feeling, whether it was predicting successful wines or making sound business decisions. We have been hearing about big data and data-driven decision making for so long, you would think it has become hardened into our largest organizations by now. As it turns out, new research by NewVantage Partners finds that most large companies are having problems implementing an organization-wide, data-driven strategy.

McAfee was fond of saying that before the data deluge we have today, the way most large organizations made decisions was via the HiPPO — the highest paid person’s opinion. Then he would chide the audience that this was not the proper way to run your business. Data, not gut feelings, even those based on experience, should drive important organizational decisions.

While companies haven’t failed to recognize McAfee’s advice, the NVP

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Databricks raises $250M at a $2.75B valuation for its analytics platform


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Databricks, the company behind the Apache Spark big data analytics engine, today announced that it has raised a $250 million Series E round led by Andreessen Horowitz. Coatue Management, Microsoft and NEA, also participated in this round, which brings the company’s total funding to $498.5 million. Microsoft’s involvement here is probably a bit of a surprise, but it’s worth noting that it also worked with Databricks on the launch of Azure Databricks as a first-party service on the platform, something that’s still a rarity in the Azure cloud.

As Databricks also today announced, its annual recurring revenue now exceeds $100 million. The company didn’t share whether it’s cash flow-positive at this point, but Databricks CEO and co-founder Ali Ghodsi shared that the company’s valuation is now $2.75 billion.

Current customers, which the company says number around 2,000, include the likes of Nielsen, Hotels.com, Overstock, Bechtel, Shell

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Japan’s “Society 5.0” initiative is a roadmap for today’s entrepreneurs


This post is by Jonathan Shieber from TechCrunch


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Japan, still suffering the consequences of its ‘Lost Decade’ of economic stagnation, is eyeing a transformation more radical than any the industrialized world has ever seen.

Boldly identified as “Society 5.0” Japan describes its initiative as a purposeful effort to create a new social contract and economic model by fully incorporating the technological innovations of the fourth industrial revolution. It envisions embedding these innovations into every corner of its ageing society. Underpinning this effort is a mandate for sustainability, bound tightly to the new United Nations global goals, the SDG’s. Japan wants to create, in its own words, a ‘super-smart’ society, and one that will serve as a roadmap for the rest of the world.

Japan hosts its first ever G20 summit in 2019 and this grand initiative will be on the agenda at the

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Has the fight over privacy changed at all in 2019?


This post is by Arman Tabatabai from TechCrunch


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Few issues divide the tech community quite like privacy. Much of Silicon Valley’s wealth has been built on data-driven advertising platforms, and yet, there remain constant concerns about the invasiveness of those platforms.

Such concerns have intensified in just the last few weeks as France’s privacy regulator placed a record fine on Google under Europe’s General Data Protection Regulation (GDPR) rules which the company now plans to appeal. Yet with global platform usage and service sales continuing to tick up, we asked a panel of eight privacy experts: “Has anything fundamentally changed around privacy in tech in 2019? What is the state of privacy and has the outlook changed?” 

This week’s participants include:

Industries must adopt ethics along with technology


This post is by Jonathan Shieber from TechCrunch


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A recent New York Times investigation into how smartphone-resident apps collect location data exposes why it’s important for industry to admit that the ethics of individuals who code and commercialize technology is as important as the technology’s code itself.

For the benefit of technology users, companies building technologies must make efforts to raise awareness of their potential human risks – and be honest about how people’s data is used by their innovations. People developing innovations must demand commitment from the C-suite – and boardrooms – of global technology companies to ethical technology. Specifically, the business world needs to instill workforce ethics champions throughout company ranks, develop corporate transparency frameworks and hire diverse teams to interact with, create and improve upon these technologies.

Image courtesy of Shutterstock

Responsible

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Dataiku raises $101 million for its collaborative data science platform


This post is by Romain Dillet from TechCrunch


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Dataiku wants to turn buzzwords into an actual service. The company has been focused on data tools for many years, before everybody started talking about big data, data science and machine learning.

And the company just raised $101 million in a round led by Iconiq Capital with Alven Capital, Battery Ventures, Dawn Capital and FirstMark Capital also participating.

If you’re generating a lot of data, Dataiku helps you find a meaning behind data sets. First, you import your data by connecting Dataiku to your storage system. The platform supports dozens of database formats and sources — Hadoop, NoSQL, images, you name it.

You can then use Dataiku to visualize your data, clean your data set, run some algorithms on your data in order to build a machine learning model, deploy it and more. Dataiku has a visual coding tool, or you can use your own code.

But Dataiku isn’t just a

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Children are being “datafied” before we’ve understood the risks, report warns


This post is by Natasha Lomas from TechCrunch


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A report by England’s children’s commissioner has raised concerns about how kids’ data is being collected and shared across the board, in both the private and public sectors.

In the report, entitled Who knows what about me?, Anne Longfield urges society to “stop and think” about what big data means for children’s lives.

Big data practices could result in a data-disadvantaged generation whose life chances are shaped by their childhood data footprint, her report warns.

The long term impacts of profiling minors when these children become adults is simply not known, she writes.

“Children are being “datafied” – not just via social media, but in many aspects of their lives,” says Longfield.

“For children growing up today, and the generations that follow them, the impact of profiling will be even greater – simply because there is more data available about them.”

By the time a child is 13

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Audit Facebook and overhaul competition law, say MEPs responding to breach scandals


This post is by Natasha Lomas from TechCrunch


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After holding a series of hearings in the wake of the Facebook Cambridge Analytica data misuse scandal this summer, and attending a meeting with Mark Zuckerberg himself in May, the European Union parliament’s civil liberties committee has called for an update to competition rules to reflect what it dubs “the digital reality”, urging EU institutions to look into the “possible monopoly” of big tech social media platforms.

Top level EU competition law has not touched on the social media axis of big tech yet, with the Commission concentrating recent attention on mobile chips (Qualcomm); and mobile and ecommerce platforms (mostly Google; but Amazon’s use of merchant data is in its sights too); as well as probing Apple’s tax structure in Ireland.

But last week Europe’s data protection supervisor, Giovanni Buttarelli, told us that closer working between privacy regulators and the EU’s Competition Commission is on the

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Nvidia launches Rapids to help bring GPU acceleration to data analytics


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Nvidia, together with partners like IBM, HPE, Oracle, Databricks and others, is launching a new open-source platform for data science and machine learning today. Rapids, as the company is calling it, is all about making it easier for large businesses to use the power of GPUs to quickly analyze massive amounts of data and then use that to build machine learning models.

“Businesses are increasingly data-driven,” Nvidia’s VP of Accelerated Computing Ian Buck told me. “They sense the market and the environment and the behavior and operations of their business through the data they’ve collected. We’ve just come through a decade of big data and the output of that data is using analytics and AI. But most it is still using traditional machine learning to recognize complex patterns, detect changes and make predictions that directly impact their bottom line.”

The idea behind Rapids then is to work with the

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AI could help push Neo4j graph database growth


This post is by Ron Miller from TechCrunch


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Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial intelligence and machine learning too. Today, Neo4j, the makers of the open source and commercial graph database platform, announced the release of Neo4j 3.5, which has a number of new features aimed specifically at AI and machine learning.

Neo4j founder and CEO Emil Eifrem says he had recognized the connection between AI and machine learning and graph databases for awhile, but he says that it has taken some time for the market to catch up to the idea.

“There has been a lot momentum around AI and graphs…Graphs are very fundamental to AI. At the same time we were seeing some early use cases, but not really broad adoption, and that’s what we’re seeing right now,” he explained.

EU antitrust regulator eyeing Amazon’s use of merchant data


This post is by Natasha Lomas from TechCrunch


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The European Union’s competition commission is looking into how Amazon uses data from retailers selling via its ecommerce marketplace, Reuters reports.

Competition commissioner Margrethe Vestager revealed the action today during a press conference. “We are gathering information on the issue and we have sent quite a number of questionnaires to market participants in order to understand this issue in full,” she said.

It’s not a formal antitrust probe at this stage, with Vestager also telling reporters: “These are very early days and we haven’t formally opened a case. We are trying to make sure that we get the full picture.”

The Commission appears to be trying to determine whether or not third-party merchants selling on Amazon’s platform are being placed at a disadvantage vs the products Amazon also sells, thereby competing directly with some of its marketplace participants.

Companies found to be in breach of EU antitrust rules can

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Computational Design: The Future of How We Make Things is Tech-Driven


This post is by Jeff Desjardins from Technology – Visual Capitalist


Click here to view on the original site: Original Post




Computational Design: The Future of How We Make Things is Tech-Driven

Future Design is Computational

Design is always changing, and never stagnant.

In the late 20th century, it was the emergence of Design Thinking that upended how architects, engineers, and industrial design organizations made decisions about how to make new things.

Now, the rapid pace of technological advancement has brought forth a new design methodology that will again forever alter the course of design history. Computational design, which takes advantage of mass computing power, machine learning, and large amounts of data, is changing the fundamental role of humans in the design process.

Designing With Billions of Data Points

Today’s infographic comes to us from Schneider Electric, and it looks at how the future of design will be driven by data and processing power.

While computational design is still a term with no real consensus, attempts to define it do have overlap:

Parameter setting
Algorithmic, “rules-based” code can be applied as

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