“summit broadband”

Deploy360@IETF99, Day 3: IPv6 & TLS

By News Aggregator

By Kevin Meynell

After a packed first couple of days, Wednesday at IETF 99 in Prague is a bit quieter for us. Each day we’re bringing you blog posts pointing out what Deploy360 will be focusing on.

There’s just the three working groups to follow today, starting at 09.30 CEST/UTC+2 with TLS. A couple of very important drafts up for discussion though, with both the TLS 1.3 and DTLS 1.3 specifications in last call. There’s also a couple of other interesting drafts relating to DANE record and DNSSEC authentication chain extension for TLS, and Data Center use of Static DH in TLS 1.3.


NOTE: If you are unable to attend IETF 99 in person, there are multiple ways to participate remotely.


Alternatively, there’s DMM that will be discussing at least one IPv6-relevant draft on the Applicability of Segment Routing IPv6 to the user-plane of mobile networks.

During the first afternoon session at 13.30 CEST/UTC+2, there’s DHC. This will continue to discuss four DHCPv6 related drafts, as well as hear about the DHCPv6 deployment experiences at Comcast.

Don’t forget that from 17.10 CDT/UTC-6 onwards will be the IETF Plenary Session. This is being held in Congress Hall I/II.

For more background, please read the Rough Guide to IETF 99 from Olaf, Dan, Andrei, Mat, Karen and myself.

Relevant Working Groups

Read more here:: www.internetsociety.org/deploy360/blog/feed/

The post Deploy360@IETF99, Day 3: IPv6 & TLS appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Deploy360@IETF99, Day 3: IPv6 & TLS

By Kevin Meynell

After a packed first couple of days, Wednesday at IETF 99 in Prague is a bit quieter for us. Each day we’re bringing you blog posts pointing out what Deploy360 will be focusing on.

There’s just the three working groups to follow today, starting at 09.30 CEST/UTC+2 with TLS. A couple of very important drafts up for discussion though, with both the TLS 1.3 and DTLS 1.3 specifications in last call. There’s also a couple of other interesting drafts relating to DANE record and DNSSEC authentication chain extension for TLS, and Data Center use of Static DH in TLS 1.3.


NOTE: If you are unable to attend IETF 99 in person, there are multiple ways to participate remotely.


Alternatively, there’s DMM that will be discussing at least one IPv6-relevant draft on the Applicability of Segment Routing IPv6 to the user-plane of mobile networks.

During the first afternoon session at 13.30 CEST/UTC+2, there’s DHC. This will continue to discuss four DHCPv6 related drafts, as well as hear about the DHCPv6 deployment experiences at Comcast.

Don’t forget that from 17.10 CDT/UTC-6 onwards will be the IETF Plenary Session. This is being held in Congress Hall I/II.

For more background, please read the Rough Guide to IETF 99 from Olaf, Dan, Andrei, Mat, Karen and myself.

Relevant Working Groups

Read more here:: www.internetsociety.org/deploy360/blog/feed/

Smart city IoT company Worldsensing closes €8.3M Series B

Worldsensing, a sensing software provider for smart cities has raised €8.3 million in a Series B round. It was co-led by McRock Capital and ETF Partners. Existing investor Cisco Investments also participated in the round.

Mobility Operations Solution

The company plans to use the latest investment to win more clients in the Industrial IoT (IIoT) and smart city markets. Further, it plans to double its revenue and employees by 2017.

Worldsensing’s core solutions include parking, traffic flow management, asset tracking and seismic data monitoring. These solutions are delivered via a combination of sensors, cloud-based/on premise software and an API.

“Since 2010, when we launched our first product, we have excelled in producing end-to-end software and hardware solutions for both smart city and industrial applications.” Said Ignasi Vilajosana, CEO at Worldsensing. Urbiotica Sl and Ingenu are two of the established competitors of Worldsensing with a specialty in IoT and monitoring sensors.

McRock’s Scott MacDonald and ETF’s Remy de Tonnac have joined Worldsensing’s Board of Directors. Worldsensing ‘unfair’ advantage will be the lead investor McRock Capital’s experience in industrial IoT space. McRock specializes in IIoT investments. Early- and growth-stage investments of the IIoT include Serious Integrated, an IoT-platform for OEMs, Decisive Farming, a precision-farming startup, and Mnubu, an IoT data analytics company.

Read more here:: feeds.feedburner.com/iot

Smart city IoT company Worldsensing closes €8.3M Series B

By News Aggregator

Worldsensing, a sensing software provider for smart cities has raised €8.3 million in a Series B round. It was co-led by McRock Capital and ETF Partners. Existing investor Cisco Investments also participated in the round.

Mobility Operations Solution

The company plans to use the latest investment to win more clients in the Industrial IoT (IIoT) and smart city markets. Further, it plans to double its revenue and employees by 2017.

Worldsensing’s core solutions include parking, traffic flow management, asset tracking and seismic data monitoring. These solutions are delivered via a combination of sensors, cloud-based/on premise software and an API.

“Since 2010, when we launched our first product, we have excelled in producing end-to-end software and hardware solutions for both smart city and industrial applications.” Said Ignasi Vilajosana, CEO at Worldsensing. Urbiotica Sl and Ingenu are two of the established competitors of Worldsensing with a specialty in IoT and monitoring sensors.

McRock’s Scott MacDonald and ETF’s Remy de Tonnac have joined Worldsensing’s Board of Directors. Worldsensing ‘unfair’ advantage will be the lead investor McRock Capital’s experience in industrial IoT space. McRock specializes in IIoT investments. Early- and growth-stage investments of the IIoT include Serious Integrated, an IoT-platform for OEMs, Decisive Farming, a precision-farming startup, and Mnubu, an IoT data analytics company.

Read more here:: feeds.feedburner.com/iot

The post Smart city IoT company Worldsensing closes €8.3M Series B appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Three Ways to Generate Profit With the Data You Already Have

By Industry Perspectives

Andrew Roman Wells is the CEO of Aspirenta, and Kathy Williams Chiang is VP, Business Insights, at Wunderman Data Management.

Build it and they will come. That is the view many organizations maintain about their data lakes and data warehouses. Companies are rapidly investing in systems and processes to retain business data that they know is valuable but have no clue what to do with it. Even the government collects mass amounts of data without specific plans for using the information at the time of collection.

This trend only accelerates as the amount of data being produced continues to escalate. Today, it is estimated that human knowledge is doubling every 12 to 13 months, and IBM is estimating that with the build out of the “Internet of Things,” knowledge will double every 12 hours.

Most organizations search for value in their data by throwing teams of data scientists at the various stores of data collected hoping to find insights that are commercially viable. This approach typically results in endless hours of digging for insights and if any are found, they rarely see the light of day. In order to monetize your data, you need a different approach, one that starts by turning the process on its head. We recommend three approaches to help you monetize your data:

  1. It’s About the Decision. A common approach when starting an analytics project is to ask what questions you would like the analysis to answer. But if your goal is to drive actionable analytics that monetize your data, you need to start at a different point. You need to understand the decisions you would like the analytics to support. This approach, termed Decision Architecture, is radically different from conventional methods. Understanding the decisions you would like to support drives the direction for the rest of the analytical exercise, including the type of data and analytics needed to support the decision. The decisions you focus on determine the analytics your team will undertake which can range from simple metrics like ROI or it may call for more sophisticated metrics such as a propensity or churn model.2. Align Decisions to Business Objectives. Knowing the goal is to provide analytics to support value driving decisions, you need to make sure the goals align with overall corporate objectives. Through mapping your decisions to key business drivers that achieve corporate objectives, you are charting a clear path to actionable analytics.

    3. Economic Value and Decision Theory. In order to monetize your data, adding economic value to your decisions through the use of data science and decision theory is a must. Whereas data science helps you generate insights from your data about actions you can take, decision theory helps you structure your decisions for maximum impact and feasibility. Economic value captures both the quantitative and qualitative aspects of an action and can come in various forms including revenue and profitability, market growth or process efficiency. The goal of economic value analysis is to provide the decision maker with an understanding of the economic trade-off among the set of decisions they have available to them.Decision theory is applied to help decision makers select the best choice to achieve their objectives. Structuring the decision criteria into a decision matrix laying out anticipated acts, events, outcomes, and payoffs helps managers see more clearly the full scope of their proposed actions and make more objective choices, guarding against hidden or implicit cognitive biases. Cognitive biases arise where an individual holds a view of a situation that is based on prior subjective experiences but may not be completely consistent with current reality. Confirmation bias, for example, occurs when the inclination is to look for information and analytics that support pre-existing beliefs or goals.

    If you focus your analytics on your decision, you are already ahead of most analytical practitioners. Creating alignment from your decisions to your business drivers that achieve your corporate objectives makes your analytics actionable and relevant. Assessing economic value of your decision choices and employing decision theory to assist the decision maker with making the best possible choice will improve the value of your decisions. These three practices will drive up the value of your analytics and enable you to monetize your data.

Opinions expressed in the article above do not necessarily reflect the opinions of Data Center Knowledge and Penton.

Industry Perspectives is a content channel at Data Center Knowledge highlighting thought leadership in the data center arena. See our guidelines and submission process for information on participating. View previously published Industry Perspectives in our Knowledge Library.

Read more here:: datacenterknowledge.com/feed/

Three Ways to Generate Profit With the Data You Already Have

By News Aggregator

By Industry Perspectives

Andrew Roman Wells is the CEO of Aspirenta, and Kathy Williams Chiang is VP, Business Insights, at Wunderman Data Management.

Build it and they will come. That is the view many organizations maintain about their data lakes and data warehouses. Companies are rapidly investing in systems and processes to retain business data that they know is valuable but have no clue what to do with it. Even the government collects mass amounts of data without specific plans for using the information at the time of collection.

This trend only accelerates as the amount of data being produced continues to escalate. Today, it is estimated that human knowledge is doubling every 12 to 13 months, and IBM is estimating that with the build out of the “Internet of Things,” knowledge will double every 12 hours.

Most organizations search for value in their data by throwing teams of data scientists at the various stores of data collected hoping to find insights that are commercially viable. This approach typically results in endless hours of digging for insights and if any are found, they rarely see the light of day. In order to monetize your data, you need a different approach, one that starts by turning the process on its head. We recommend three approaches to help you monetize your data:

  1. It’s About the Decision. A common approach when starting an analytics project is to ask what questions you would like the analysis to answer. But if your goal is to drive actionable analytics that monetize your data, you need to start at a different point. You need to understand the decisions you would like the analytics to support. This approach, termed Decision Architecture, is radically different from conventional methods. Understanding the decisions you would like to support drives the direction for the rest of the analytical exercise, including the type of data and analytics needed to support the decision. The decisions you focus on determine the analytics your team will undertake which can range from simple metrics like ROI or it may call for more sophisticated metrics such as a propensity or churn model.2. Align Decisions to Business Objectives. Knowing the goal is to provide analytics to support value driving decisions, you need to make sure the goals align with overall corporate objectives. Through mapping your decisions to key business drivers that achieve corporate objectives, you are charting a clear path to actionable analytics.

    3. Economic Value and Decision Theory. In order to monetize your data, adding economic value to your decisions through the use of data science and decision theory is a must. Whereas data science helps you generate insights from your data about actions you can take, decision theory helps you structure your decisions for maximum impact and feasibility. Economic value captures both the quantitative and qualitative aspects of an action and can come in various forms including revenue and profitability, market growth or process efficiency. The goal of economic value analysis is to provide the decision maker with an understanding of the economic trade-off among the set of decisions they have available to them.Decision theory is applied to help decision makers select the best choice to achieve their objectives. Structuring the decision criteria into a decision matrix laying out anticipated acts, events, outcomes, and payoffs helps managers see more clearly the full scope of their proposed actions and make more objective choices, guarding against hidden or implicit cognitive biases. Cognitive biases arise where an individual holds a view of a situation that is based on prior subjective experiences but may not be completely consistent with current reality. Confirmation bias, for example, occurs when the inclination is to look for information and analytics that support pre-existing beliefs or goals.

    If you focus your analytics on your decision, you are already ahead of most analytical practitioners. Creating alignment from your decisions to your business drivers that achieve your corporate objectives makes your analytics actionable and relevant. Assessing economic value of your decision choices and employing decision theory to assist the decision maker with making the best possible choice will improve the value of your decisions. These three practices will drive up the value of your analytics and enable you to monetize your data.

Opinions expressed in the article above do not necessarily reflect the opinions of Data Center Knowledge and Penton.

Industry Perspectives is a content channel at Data Center Knowledge highlighting thought leadership in the data center arena. See our guidelines and submission process for information on participating. View previously published Industry Perspectives in our Knowledge Library.

Read more here:: datacenterknowledge.com/feed/

The post Three Ways to Generate Profit With the Data You Already Have appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Ars is hiring—if you’re an experienced product reviewer, we want you!

By Ars Staff

Enlarge / Artist’s impression of how busy this person will be once hired. (credit: Aurich Lawson / Thinkstock)

Ars Technica is seeking an experienced writer and reviewer to join our Reviews Team. The world of technology products is vast, and the ideal candidate will have a broad interest in technology goodies that stretches from flagship products to the lesser wonders that we nonetheless can’t live without.

This position will work closely with our Senior Android Editor to make sure Ars stays on top of computing in all of its forms. Expertise in a major branch of technology is required (e.g., Apple or Microsoft technologies; Internet of Things; networking).

Candidates must have 3 or more years of professional experience writing and reviewing products in technology. You should be comfortable in a fast-paced, often chaotic environment, driven by a desire to delight our readers.

Read 4 remaining paragraphs | Comments

Read more here:: feeds.arstechnica.com/arstechnica/index?format=xml

Ars is hiring—if you’re an experienced product reviewer, we want you!

By News Aggregator

By Ars Staff

Enlarge / Artist’s impression of how busy this person will be once hired. (credit: Aurich Lawson / Thinkstock)

Ars Technica is seeking an experienced writer and reviewer to join our Reviews Team. The world of technology products is vast, and the ideal candidate will have a broad interest in technology goodies that stretches from flagship products to the lesser wonders that we nonetheless can’t live without.

This position will work closely with our Senior Android Editor to make sure Ars stays on top of computing in all of its forms. Expertise in a major branch of technology is required (e.g., Apple or Microsoft technologies; Internet of Things; networking).

Candidates must have 3 or more years of professional experience writing and reviewing products in technology. You should be comfortable in a fast-paced, often chaotic environment, driven by a desire to delight our readers.

Read 4 remaining paragraphs | Comments

Read more here:: feeds.arstechnica.com/arstechnica/index?format=xml

The post Ars is hiring—if you’re an experienced product reviewer, we want you! appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Number of smart homes in Europe and North America reached 30.3m in 2016, says Berg Insight

By Sheetal Kumbhar

According to a new research report from Berg Insight, the number smart homes in Europe and North America reached 30.3 million in 2016. North America is the world’s most advanced smart home market and the region had an installed base of 21.8 million smart homes at the end of the year, a 47% year-on-year growth. […]

The post Number of smart homes in Europe and North America reached 30.3m in 2016, says Berg Insight appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

Number of smart homes in Europe and North America reached 30.3m in 2016, says Berg Insight

By News Aggregator

By Sheetal Kumbhar

According to a new research report from Berg Insight, the number smart homes in Europe and North America reached 30.3 million in 2016. North America is the world’s most advanced smart home market and the region had an installed base of 21.8 million smart homes at the end of the year, a 47% year-on-year growth. […]

The post Number of smart homes in Europe and North America reached 30.3m in 2016, says Berg Insight appeared first on IoT Now – How to run an IoT enabled business.

Read more here:: www.m2mnow.biz/feed/

The post Number of smart homes in Europe and North America reached 30.3m in 2016, says Berg Insight appeared on IPv6.net.

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