Microsoft Azure sets its sights on more analytics workloads


This post is by Frederic Lardinois from TechCrunch


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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


This post is by Frederic Lardinois from TechCrunch


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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


This post is by Frederic Lardinois from TechCrunch


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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


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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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George Church’s genetics on the blockchain startup just raised $4.3 million from Khosla


This post is by Sarah Buhr from TechCrunch


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Nebula Genomics, the startup that wants to put your whole genome on the blockchain, has announced the raise of $4.3 million in Series A from Khosla Ventures and other leading tech VC’s such as Arch Venture Partners, Fenbushi Capital, Mayfield, F-Prime Capital Partners, Great Point Ventures, Windham Venture Partners, Hemi Ventures, Mirae Asset, Hikma Ventures and Heartbeat Labs.

Nebula has also has forged a partnership with genome sequencing company Veritas Genetics.

Veritas was one of the first companies to sequence the entire human genome for less than $1,000 in 2015, later adding all that info to the touch of a button on your smartphone. Both Nebula and Veritas were cofounded by MIT professor and “godfather” of the Human Genome Project, George Church.

The partnership between the two companies will allow the Nebula marketplace, or the place where those consenting to share their genetic data can earn Nebula’s cryptocurrency called “Nebula

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How Big Data Will Unlock the Potential of Healthcare


This post is by Jeff Desjardins from Technology – Visual Capitalist


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How Big Data Will Unlock the Potential of Healthcare

How Big Data Will Unlock the Potential of Healthcare

Data is driving the future of business, and any company not prepared for this transformation is at risk of being left behind.

This is a reality in almost every sector, but it’s especially relevant to companies in the healthcare industry. That’s because the amount of health data being created is growing at a 48% rate annually, and by 2020, a Stanford University study estimates that 2,314 exabytes of healthcare data will be produced per year.

Simply put, the companies that can extract meaningful insights from these mountains of data will have a serious and durable competitive advantage – and those that don’t have a proper strategy for this boom in data will get lost in the weeds.

Breaking Down Big Data

Today’s infographic comes to us from Publicis Health, and it shows why big data is one of the six

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Outlier raises $6.2 M Series A to change how companies use data


This post is by Ron Miller from TechCrunch


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Traditionally, companies have gathered data from a variety of sources, then used spreadsheets and dashboards to try and make sense of it all. Outlier wants to change that and deliver a handful of insights right to your inbox that matter most for your job, company and industry. Today the company announced a $6.2 million Series A to further develop that vision.

The round was led by Ridge Ventures with assistance from 11.2 Capital, First Round Capital, Homebrew, Susa Ventures and SV Angel. The company has raised over $8 million.

The startup is trying to solve a difficult problem around delivering meaningful insight without requiring the customer to ask the right questions. With traditional BI tools, you get your data and you start asking questions and seeing if the data can give you some answers. Outlier wants to bring a level of intelligence and automation by pointing out insight

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SessionM customer loyalty data aggregator snags $23.8 M investment


This post is by Ron Miller from TechCrunch


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SessionM announced a $23.8 million Series E investment led by Salesforce Ventures. A bushel of existing investors including Causeway Media Partners, CRV, General Atlantic, Highland Capital and Kleiner Perkins Caufield & Byers also contributed to the round. The company has now raised over $97 million.

At its core, SessionM aggregates loyalty data for brands to help them understand their customer better, says company co-founder and CEO Lars Albright. “We are a customer data and engagement platform that helps companies build more loyal and profitable relationships with their consumers,” he explained.

Essentially that means, they are pulling data from a variety of sources and helping brands offer customers more targeted incentives, offers and product recommendations “We give [our users] a holistic view of that customer and what motivates them,” he said.

Screenshot: SessionM (cropped)

To achieve this, SessionM takes advantage of machine learning to analyze the data stream and integrates

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Sumo Logic brings data analysis to containers


This post is by Ron Miller from TechCrunch


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Sumo Logic has long held the goal to help customers understand their data wherever it lives. As we move into the era of containers, that goal becomes more challenging because containers by their nature are ephemeral. The company announced a product enhancement today designed to instrument containerized applications in spite of that.

They are debuting these new features at DockerCon, Docker’s customer conference taking place this week in San Francisco.

Sumo’s CEO Ramin Sayer says containers have begun to take hold over the last 12-18 months with Docker and Kubernetes emerging as tools of choice. Given their popularity, Sumo wants to be able to work with them. “[Docker and Kubernetes] are by far the most standard things that have developed in any new shop, or any existing shop that wants to build a brand new modern app or wants to lift and shift an app from on prem [to

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Devo scores $25 million and cool new name


This post is by Ron Miller from TechCrunch


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Logtrust is now known as Devo in one of the cooler name changes I’ve seen in a long time. Whether they intended to pay homage to the late 70s band is not clear, but investors probably didn’t care, as they gave the data operations startup a bushel of money today.

The company now known as Devo announced a $25 million Series C round led by Insight Venture Partners with participation from Kibo Ventures. Today’s investment brings the total raised to $71 million.

The company changed its name because it was about much more than logs, according to CEO Walter Scott. It offers a cloud service that allows customers to stream massive amounts of data — think terabytes or even petabytes — relieving the need to worry about all of the scaling and hardware requirements processing this amount of data would require. That could be from logs from web servers, security

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Alibaba Group leads $26.4M Series B in GPU database provider SQream


This post is by Catherine Shu from TechCrunch


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SQream CEO and co-founder Ami Gal

SQream, the GPU database developer, will deepen its focus on China after raising a $26.4 million Series B led by Alibaba Group. The round also included investors Hanaco Venture Capital, Sistema.vc, World Trade Ventures, Paradiso Ventures, Glory Ventures and Silvertech Ventures.

The startup describes the funding, which brings its total raised to a little over $40 million, as a strategic investment from Alibaba. Earlier this year, SQream and Alibaba Cloud announced a new agreement that will give Alibaba Cloud users access to the GPU database starting in October.

In a statement to TechCrunch, Chaoqun Zhan, director of Alibaba Database Business, said “Alibaba Cloud and SQream announced a collaboration in February and this investment deepens our relationship, and together we aim to provide the best cloud solutions to all kinds of businesses to enable their success in this digital age.”

Based

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