Sign up | Login with →

Policy and Governance

Why I’m Teaching Twitch to Predict the Future

October 31, 2016 by Daniel Hernandez-Stewart

Predicting the future is not a theoretical superpower. It is a skill we already rely on to make decisions, and like any other skill it can be rapidly improved with deliberate practice. Unsurprisingly, deliberate practice looks like making predictions within a domain and comparing the results to reality. This year I’ve built a culture of doing just that at Twitch. It’s the most exciting work I’ve ever done.[read more]

Massive DDoS attack spotlights internet choke point

October 25, 2016 by CIO Dive

Friday's mass DDoS attack against a DNS provider spotlights a long-standing weakness in how traffic moves across the internet. Internet services were interrupted several times Friday following a mass DDoS attack that caused disruptions of Netflix, Twitter, Spotify, SoundCloud, GitHub and Reddit, to name a few.Both the...[read more]

exclusive

How Big Data is Aiding in Disaster Relief

October 19, 2016 by Ryan Ayers

When it comes to disaster preparedness, predicting disasters is one of the biggest problems governments have. That is where big data technology and predictive analytics step in and provide the solution. Over recent years, big data has been able to help scientists and disaster aid agencies narrow down to the hardest hit areas.[read more]

exclusive

Cloud Managed Services Provider (MSP) Is it really about services or winning customer trust?

August 24, 2016 by Alakh Verma

            We have entered the era of outcome economy, or it would be appropriate to say that we are slowly entering the era of consumer trust economy. We can conclude that customers across the industry are shying away from paying for products or services. Consumers are willing to sign on the outcome,...[read more]

exclusive

Keeping Sales & Marketing Data in Order: What startups must learn from the enterprise.

June 29, 2016 by Maria Grineva

Keeping Sales & Marketing Data in Order: What startups must learn from the enterprise.Nowadays it’s hard to find a startup CEO or CTO who’s not thinking about how their company can maximize the value of its data. Yet, most of the startups I speak with are shocked to learn how much money they’re leaving on the table as a result of...[read more]

Tracking All The Things You Need To Analyze

February 12, 2016 by Bill Franks

As the Internet of Things (IOT) continues to gain momentum, there is a critical component to success that is missing today. While I’ve written about the power of the Analytics of Things (AOT), without addressing some tactical issues regarding the registering, tracking, and retiring of the things we want to analyze, we won’t be able to get where we need to be. We need to be in a position that allows easy and pervasive access and analysis of IOT data.[read more]

exclusive

Big Data Helps Alleviate Aviation Risk Management Problems

December 23, 2015 by Sarah Smith

Today, an increasing number of commercial airlines employ Big Data and real time analysis to help alleviate problems in many traditional areas of aviation risk management. Modern aviation safety management systems suggestion here can benefit from the creative use of these high tech tools in a variety of ways. Passengers have already begun to see the benefits.[read more]

exclusive

Less Dogma Equals Better Decision Making

August 17, 2015 by Paul Barsch
2

Some of the biggest breakthroughs come as a result of challenging assumptions; especially those that are commonly accepted. But first you'll need to put processes, systems and people in place to continually overcome preconceived notions.[read more]

exclusive

As the Internet of Things Mobilizes, Safeguarding the Cloud Is Our Prerogative

August 6, 2015 by Daniel Matthews

Where we drive with big data now will determine our destination on the Internet of Things superhighway. Securing data on the cloud is imperative--here is a rundown on doing just that.[read more]

Open Data: Why the U.S. Needs Federal Legislation to Unlock the Secret Dealings of Shell Companies

July 23, 2015 by Joshua New

Just as Congress recognizes open data as a valuable tool for investigating fraud and providing oversight in government, it is time policymakers create better open data on shell corporations to achieve the same in the private sector.[read more]

EU Regulators Misunderstand Big Data

July 17, 2015 by Joshua New

Some European Union regulators reportedly are concerned that major Internet companies such as Google and Facebook gain an unfair competitive advantage from the detailed consumer data they hold, since other companies can never hope to amass anywhere near as much of it. In addition, some regulators worry that with less competition, these data-rich companies will disregard their customers’ privacy preferences and become more invasive.[read more]

The Internet of Ordinary Things Is Still Extraordinary

July 9, 2015 by Joshua New

Should the public sector view the Internet of Things as a practical tool that can develop incrementally, rather than a collection of futuristic gadgets, it is more likely to embrace the Internet of Things as an early adopter and start enjoying its benefits.[read more]

exclusive

The Data Lake Debate: Conclusion (With Apologies to the Rolling Stones)

April 30, 2015 by Jill Dyché

The Data Lake Debate.

In an homage to the Rolling Stones, I blithely suggested that if you try sometimes, you get what you need—be it more funding, access to third-party data, a more effective executive sponsor, or a Hadoop distribution provider. It’s not an easy decision, but I’d call the data lake debate a draw. After all, when it comes to the verdict on whether or not a data lake is a worthwhile investment, the success stories will start to emerge. In the meantime, I’m happy to watch those stories unfold. Time, after all, is on my side. Yes it is.[read more]

exclusive

The Data Lake Debate: The Final Word from Negative

April 22, 2015 by Anne Buff
1

The Data Lake Debate.

Well, it seems you took the gloves off this time, Tamara. I appreciate the valiant effort and your passionate belief in the Hadoop ecosystem. However, given your revisit to the definition of the data lake and clarifications about Hadoop, I find it important to repeat the resolution we are debating: “a data lake is essential for any organization to take full advantage of its data”. We are not debating whether a data ecosystem is essential – just the data lake.[read more]

exclusive

The Data Lake Debate: Pro Delivers First Rebuttal

April 10, 2015 by Tamara Dull

Data Lake Debate.

In my opening argument, I defined the data lake as a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured, and unstructured data. I also mentioned that a data lake can take on different shapes and sizes, and provided these examples: A single data lake; or a data lake with multiple data ponds—similar in concept to a data warehouse/data mart model; or multiple, decentralized data lakes; or a virtual data lake to reduce data movement.[read more]