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Getting the Most Out of Cloud Data Lakes – ITPro Today

Data lakes are having a moment. According to one recent report, they are expected to grow by about 30% over the next five years. Tomer Shiran, CEO of data-as-a-service vendor Dremio, explains what they are, why they make sense in the cloud and how to make them work best for your company. Dremio has its own cred: Founded just five years ago, the company is routinely named to "best of" lists, including Pagan Research's list of "Most Promising Big Data Startups in the World" and CRN's "10 Hottest Big Data Startups of 2019."

What is a data lake?

It provides a united source for all data in an organization by replacing the many siloed file and object stores that hold collections of data that tend to spring up inside organizations. Data lakes are also inherently open, providing clear separation of storage from compute and processing, and provide a non-proprietary storage alternative compared to ingesting data into proprietary solutions such as data warehouses. This gives organizations the flexibility to bring best-of-breed processing to their data as needed, while maintaining full control of the data itself.

What type of data do data lakes typically include?

Everything from structured data from relational databases (rows and columns), to semi-structured data such as CSV, JSON, to unstructured data like documents and binary data like images or video. Each of these data types can then be collectively transformed, analyzed and more.

How is a data lake different from a data warehouse?

Data lakes are a more modern approach to storing data for analytics. Even if you don't have the structure at the time you're ingesting into a data lake, you can structure it after you ingest it. It's also more flexible in terms of what you can do with the data. If you have data in cloud data lake storage, you could use Dremio to perform SQL queries and use business intelligence tools on that data, and then use Spark to perform processing and ETL jobs. With a data warehouse, you have to structure the data at time of ingestion, which makes it more difficult to get the data in. Also, it's more restricted in what you can do; basically, you are just running SQL queries on tables.

What types of organizations or use cases are best for data lake storage?

If there is strategic value in your data today or there may be in the future, you'll want to hold onto it and treat it as a strategic asset. It's also a good choice for companies that collect large volumes of data, with high variety that accrue at a high rate. Also consider it if you value maintaining control of your data at all times so you can apply best-of-breed approaches to analyze that data. Last, if you want to streamline and simplify your data architecture to support their lines of business and improve overall business agility.

Should a data lake be built in the cloud or on-premises?

We recommend organizations build new data lakes in the cloud. Cloud data lake storage can easily be leveraged by many cloud services for things like processing, analytics and reporting. From a scalability point of view, you can start with a few small files and grow your data lake to exabytes in size, without the worries associated when expanding storage and data maintenance internally. Cloud storage providers also allow for multiple storage classes and pricing options, which helps organizations only pay for exactly as much as they need, instead of planning for an assumed cost and capacity as is needed when building a data lake locally. Cloud data lake storage is also proven to be highly durable and available for example, eleven 9s of durability for Amazon S3. Finally, all companies have a responsibility to protect their data, and with data lakes designed to store all types of data, including sensitive information like financial records or customer details, security becomes even more important. Cloud providers guarantee security of data as defined by the shared responsibility model.

What about organizations that maintain some combination of cloud and on-premises data lake solutions? How can they make sure everything is synced up?

Most of the time some data lives on premises because that's where it's generated, while other data is generated and lives in the cloud. IoT [internet of things] data, for example, is generated in many different places and then aggregated in the cloud, but the company may have some business data that is stored somewhere in an on-premises source. In both cases, the data is not being copied from one location to another, so there is no need to keep it synced. Data consumers are accessing the data wherever it lay.

What if the organization already has an on-premises data lake and is considering moving it to the cloud? What advice do you have for a migration?

Migrating an on-premises data lake to the cloud can be challenging, since data consumers are connecting into all of the existing data sources, and any changes to those sources as a result of migrations break those connections and require data engineers to rebuild them. So, they need a way to abstract the underlying migration to the cloud from the usage by data analysts, business intelligence users and data scientists.

If you choose to standardize on cloud data lake storage, do you have to stick with one cloud provider?

Not necessarily. The multicloud model means you are using more than one set of cloud data lake storage, but that storage is used by a separate and distinct set of applications or workloads. In this way, an organization can spread its workloads around multiple cloud providers. This is true whether some of the data lake storage is on-premises (private cloud) or only in public clouds. Then there is the hybrid cloudmodel, where you are using more than one set of data lake storage in support of a single workload. In the hybrid cloud, the workload joins data from multiple data lake storage services. In this scenario, there could be multiple workloads, each joining data from more than one set of data lake storage. Once again, this is true whether some of the data lake storage is on-premises (private cloud) or only in public clouds.

How can businesses get the most value from a cloud-based data lake?

To take full advantage of data processing and analytics on your data, you need technologies that were built for the type of platform you are using. That's because the latency and performance aren't the same as what you would get with local NVMe on a single server. Because you're going over a network to another service, it can slow down the workflow if you aren't using a technology designed specifically for data lake storage.

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Cloud Storage MARKET BOOMING BY SIZE, REVENUE, TREND AND TOP GROWING COMPANIES 2026 – Healthcare News

Global Cloud Storage Market Overview:

New Jersey, United States The report is just the right resource that global and regional Cloud Storage Market players and investors need to peep into the future of their business and plan out effective growth strategies. It is a compilation of intelligent and accurate research and analysis studies that help players in the Cloud Storage Market business to understand the growth patterns of leading segments and regions, nature of competition, and other significant aspects. Buyers of the report are provided with reliable forecasts for total revenue, consumption, sales, CAGR, production, and other important factors.

Global cloud storage market was valued at USD 22.56 billion in 2016 and is projected to reach USD 191.17 billion by 2025, growing at a CAGR of 26.8% from 2017 to 2025.

Top Key Players in the global Cloud Storage market include:

Dropbox, IBM Corporation, VMware, Google, Oracle Corporation, Rackspace Hosting, Amazon Web Services, Microsoft Corporation, Hewlett Packard Enterprise Company, EMC Corporation, Red Hat

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Global Cloud Storage Market: Segmentation

For a clearer understanding of the global Cloud Storage market, analysts have segmented the market. The segmentation has been done on the basis of application, technology, and users. Each segment has been further explained with the help of graphs figures. This breakdown of the market gives the readers an objective view of the global Cloud Storage market, which is essential to make sound investments. The report has segregated the global Cloud Storage industry into segments comprising the application, product type, and end-user to simplify the overall understanding for the readers. Industry share accrued by each segment and their growth potential has been scrutinized in the report. Besides, regional analysis is comprehensively done by the researchers. Cloud Storage revenue in connection with the key regions and their countries is detailed in the report.

Global Cloud Storage Market: Segment Analysis

To the understanding of the reader, the report has also studied the segments including product type, application, and end-user of the global Cloud Storage market in a comprehensive manner. Apart from that, the market professionals have laid emphasis on the key regional markets and their respective countries having growth potential.

Industry trends and opportunities:

The researchers find out why sales of Cloud Storage Market are projected to surge in the coming years. The study covers the trends that will strongly favour the industry during the forecast period, 2020 to 2026. Besides this, the study uncovers important facts associated with lucrative growth and opportunities that lie ahead for the Cloud Storage Market industry.

Global Cloud Storage Market: Regional Analysis

The report also includes a thorough analysis of both developed and developing regions, including North America, Europe, the MEA, and the Asia Pacific. It offers useful suggestions and recommendations for Cloud Storage Market companies to help them gain a competitive edge over their toughest competitors in different regions and countries.

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Major Point of TOC:

Table of Content

1 Introduction of Cloud Storage Market

1.1 Overview of the Market

1.2 Scope of Report

1.3 Assumptions

2 Executive Summary

3 Research Methodology of Verified Market Research

3.1 Data Mining

3.2 Validation

3.3 Primary Interviews

3.4 List of Data Sources

4 Cloud Storage Market Outlook

4.1 Overview

4.2 Market Dynamics

4.2.1 Drivers

4.2.2 Restraints

4.2.3 Opportunities

4.3 Porters Five Force Model

4.4 Value Chain Analysis

5 Cloud Storage Market, By Deployment Model

5.1 Overview

6 Cloud Storage Market, By Solution

6.1 Overview

7 Cloud Storage Market, By Vertical

7.1 Overview

8 Cloud Storage Market, By Geography

8.1 Overview

8.2 North America

8.2.1 U.S.

8.2.2 Canada

8.2.3 Mexico

8.3 Europe

8.3.1 Germany

8.3.2 U.K.

8.3.3 France

8.3.4 Rest of Europe

8.4 Asia Pacific

8.4.1 China

8.4.2 Japan

8.4.3 India

8.4.4 Rest of Asia Pacific

8.5 Rest of the World

8.5.1 Latin America

8.5.2 Middle East

9 Cloud Storage Market Competitive Landscape

9.1 Overview

9.2 Company Market Ranking

9.3 Key Development Strategies

10 Company Profiles

10.1.1 Overview

10.1.2 Financial Performance

10.1.3 Product Outlook

10.1.4 Key Developments

11 Appendix

11.1 Related Research

Chapter Thirteen: Appendix12.1 Research Methodology12.1.1 Methodology/Research Approach12.1.2 Data Source12.2 Author Details12.3 Disclaimer

Complete Report is Available @ https://www.verifiedmarketresearch.com/product/global-cloud-storage-market-size-and-forecast-to-2025/?utm_source=TMH&utm_medium=007

What the Report has to Offer?

Market Size Forecasts: The report has provided accurate and precise estimations of the global Cloud Storage market size in terms of value and volume

Market Trend Analysis: Here, the report has shed light on the upcoming trends and developments anticipated to impact the Cloud Storage market growth

Future Prospects: The analysts have focused on the growth opportunities that may prove beneficial for the market players to make their mark in the Cloud Storage market

Segmental Analysis: Exclusive analysis of the product type, application, and end-user segments is provided in this unit of the report

Regional Analysis: This section explores the growth opportunities in key regions and countries, which will help the market players to focus on the potential regions

Vendor Competitive Analysis: The report has focused on the strategies considered by the market participants to gain a major share in the global Cloud Storage market. This will help the competitors to get an overview of the competitive landscape so as to make sound business decisions

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Verified Market Research has been providing Research Reports, with up to date information, and in-depth analysis, for several years now, to individuals and companies alike that are looking for accurate Research Data. Our aim is to save your Time and Resources, providing you with the required Research Data, so you can only concentrate on Progress and Growth. Our Data includes research from various industries, along with all necessary statistics like Market Trends, or Forecasts from reliable sources.

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Cloud Storage Market Size, Cloud Storage MarketAnalysis, Cloud Storage Market Growth, Verified Market Research

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Kasten klimbs Kubernetes kontainer protection mountain with K10 – Blocks and Files

For anyone wanting to code a data protection app for containers, Kubernetes (K8s) is a great big help. Because it orchestrates container instantiation and operations, it knows everything about them that such an app needs to know.

This theoretically puts three-year-old startup Kasten in a good position, as Kubernetes, a control plane for containers, is its gateway to container data protection. The firm uses Kubernetes to auto-discover containerised apps, and to list their components and their startup processes. K10, Kastens application, is a K8s data protection layer, using it and its interfaces to avoid having to have direct storage product system level integrations.

K10 doesnt need to understand specific array interfaces, using K8s CSI (Container Storage Interface) abstractions instead, for block interface and object interface storage devices. It works with any CSI-supporting storage system.

Migration and disaster recovery are covered as well because Kubernetes enables K10 to snapshot a containers entire state, not just the data it needs protecting. That means the K10-protected container can be moved to a different system and instantiated there; migration, and also sent to a disaster recovery site and kept there until needed.

Incremental changes can be snapshotted at intervals and sent to the remote site to keep it up to date. The remote sites can be in public clouds or on-premises, as can the source site. Wherever K8s runs then Kastens K10 can run; it is itself a containerised application.

Tolia told Blocks & Files in a briefing that in the containerised world, the app is the operational unit for backup and not, for example, the virtual machine. He said that, with K8s and containers: The software application monolith is blown up.

Mentioning a Fortune 1000 customer with 106 K8s pods and 538 app components, he said: Traditional backup software cant protect this. Recovery is very hard [and] scripting is too complex.

The company was started up in the Bay Area in 2017 by CEO Niraj Tolia and Engineering VP Vaibhav Kamra. It raised $17m in a A-round of VC funding from Insight Partners in summer last year and has set up a second office in Salt Lake City.

Tolia and Kamra were previously involved with cloud storage gateway business Maginatics which was bought by EMC in 2014.Its IP included a distributed scale-out filesystem.

The CEO was Maginatics VP of engineering and Kamra its engineering director. Both stayed with EMC until leaving to found Kasten.

Tolia calls K10 a data management facility for containerised apps; preferring that term to data protection, since it provides migration and DR on top of backup. To find out more detail, check out a K10 data sheet.

Kasten is fresh in the market and in a good place, with K8s orchestration set to become a standard feature of enterprise IT.

But two factors make the startups mid- and long-term position vulnerable to future attack. One is that it backs up entire containerised apps which can be re-instantiated. In other words it does not write them in a proprietary backup format, making it non0sticky in a backup application sense.

Secondly its gateway to the world of containerised app information is K8s, and that is open source, meaning anybody else can use it too.

Indeed Cohesity already does, and K8s-orchestrated container apps are just one of its backup source systems, which include multi-hypervisor VMs, physical server apps, such as relational and distributed databases, and the main public clouds, not available to Kasten. Cohesity can provide container app data protection, migration and disaster recovery too, like Kasten, but also file storage services, copy data management, archiving and more.

Other data protection suppliers could build their own K8s-based on-ramp to container backup as well, or buy the technology by buying a supplier, such as Kasten. It is easier for them to do that than for Kasten, with its limited resources, to expand into generalised backup or data management and take them on in their own product areas.

In B&Fs view, the ability to protect K8s-orchestrated apps will become table stakes for every data protection supplier in five or so years time. It will be a feature and not, as it is now for Kasten, a basis for a product.Time is short and Kasten has to move fast.

For mountaineering wonks, K10 is a peak in the Karakoram range, otherwise known as Saltoro Kangri 1. It is the 31st highest mountain in the world.

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Google is taking another stab at a messaging service, and this one could work – Chrome Unboxed

I suppose it has simply been too long since Google made a new messenger, so its about time. Should we recount the ways Google has attempted messaging in the past? First we have Gmail, and it is great, stable, and embedded in our collective workflows. Gmail is going nowhere. We also have Duo for video chats and as far as we can tell, Duo is going to be here for the long haul as well. The problem really shows up when we start talking about instant messengers where Google has historically tried and failed to create something that sticks.

From Google Talk to Hangouts (which is also Hangouts Chat and Hangouts Meet in the enterprise arenas), Allo to Messages to Google Voice, Google has struggled mightily to develop a messaging platform that stands the test of time and is adopted as widely and universally as some of its other services have. There are a multitude of reasons for all the shifts and changes and attempts, but those are for another time. Today is about yet another attempt at a messaging platform for businesses.

The Information reports (via The Verge) that Google is internally testing yet another messaging platform aimed at business users. This new service looks to leverage Gmail, Drive, and Hangouts (Chat and Meet) into one singular service. Anyone remember Google Wave? From what we know of this new venture, Wave was a similar attempt that failed as well. It isnt all doom and gloom, though, as the things Google learned from Wave carried through to other products and connected services in the aftermath of its demise. Many cloud-centric services we rely on every day exist because Google tried out Wave. Check out the video below to see how far ahead Googles thinking was around all this back in 2010. Wave may have failed, but it clearly spawned all sorts of online, cloud-based productivity tools in its wake.

Shop The Best Chromebooks of 2019 at Chrome Shop

This new service from Google could help them fight back against services like Slack and Microsoft Teams where email, messaging, and shared cloud storage meld into a single, coheasive platform. I imagine there are some creative and unique things Google can do if they put all this together in the right way. Internal teams may be able to finally get away from the headache that is extended email threads. If youve ever worked in an environment where the primary communication tool is email, you know the pain I speak of.

For many communications internally, chats get the job done in a much more effective and consumable manner. Where they tend to fall down is in the management of documents and files and their re-integration back into email when outside communication becomes necessary. Slack and Teams do a good job with this once users are on board and leveraging the services, and it sounds like Google is ready to take a step in that direction.

I sincerely hope Google chooses to take what those services excel at and build upon them. Google is in a unique position with all of its assets to really create something special for the workforce, but they need to nail the basics, get everything that Slack or Teams users would expect, and then deliver a few new killer features on top of that. If they can do that successfully, maybe Google will finally launch a new messaging app that is necessary, makes sense, and actually sticks around for a while. Maybe, like Gmail or Google Calendar, this new service will turn into something that we will all wonder, years down the road, how it was we lived without it.

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Ten of the best home tech gadgets for 2020:from ‘rollable TVs’ to ingenious pop-up steam closets and hi-tech home brew kits – Homes and Property

As Londoners we need the technology in our homes to do more for us.

We want our homes to be smart in every sense of the word, with devices that make life easier and anticipate our needs - not pointless products that take forever to set up.

The best new tech for 2020 fits the bill. You can use your voice to command more than just music.

The latest televisions disappear when not in use. This is discreet tech that serves you perfectly.

Google has positioned itself at the heart of the smart home since merging its wireless speakers with acquired home security brand Nest.

The new second-generation Nest Mini sounds better than ever. Its convenient, compact, can be wall-mounted and comes in four attractive colours the fabric covers are made from recycled plastic water bottles.

Google Assistant is built in, letting you control smart home appliances (including Nest security cameras, doorbell, smoke alarms and central heating thermostat, Philips Hue light bulbs and more), play music or ask Google to search for something on the internet.

It understands accents and natural speech - you dont have to stick to a short list of commands. Priced from 49. Visit store.google.com.

Going on sale this year, this unique rollable TV has a stunning OLED screen thats just 0.2mm thick and made of flexible materials, so it rolls up when not in use.

The 65-inch picture is bright and lifelike but the sets innovative design is the star of the show. The screen disappears into a discreet, minimalist table designed by Foster + Partners.

You can even use a voice command to tell it to roll up. Or partially retract the screen and enjoy it as a short, wide display for everything from apps to art. Price to be confirmed. Visit lg.com/uk.

Youve seen beans-to-cup coffee machines, how about a hops-to-glass beer machine? Home brew goes hi-tech with this Dutch beer-making device, which lets you brew five litres of world-class beer from raw ingredients then enjoy it poured straight from the keg.

The process of mashing, boiling and fermenting is straightforward and automatic. You get the ingredients as a pack, the machine does the rest. It includes a transparent mashing tun and a traditional-looking, copper-coloured keg.

The results are fresher than any beer you can buy from the supermarket and can be preserved for up to three months thanks to a built-in cooler. Priced about 1,020 at minibrew.io.

Clothes care is set to be revolutionised with this new steam closet that sits in your wardrobe area, refreshing clothes with cycles as quick as 20 minutes. It steams garments, banishing odours and lifting creases, reducing the need for dry cleaning.

Its heat pump can also be used to gently quick-dry delicates such as lingerie and sweaters, or dry coats that have been caught in a rain shower.

Refresh up to four garments at a time, including trousers or jeans in a press in the door. You can even sanitise clothes and pillows: the machine uses steam to reduce allergens and germs by 99.9 per cent, certified by the British Allergy Foundation.

App control with Artificial Intelligence works with Google Assistant, so you can turn it on with a voice command or ask how long till the cycle is finished. Priced 1,899 at lg.com/uk.

(Getty Images/iStockphoto)

Elipson revolutionised loudspeaker design with its first spherical speakers in the Sixties. These new Planets update the design for the 21st century with wireless high-definition audio. Connect any source via aptX Bluetooth or wi-fi. Or a wire if you prefer.

The spherical design measures 35cm and contains left and right stereo speakers, so you only need one to fill a room with sound.

You can add other W35s around the home for a stylish multi-room system, with app control so you can enjoy the same music everywhere or different sounds in each room.

Sit it on a stand, tripod, wall mount or even suspend it from the ceiling. Priced 799 each at elipson.com/gb.

Need to reduce the noise of urban living? Whether you want to protect neighbours from your listening habits or protect yourself from their noise, these new sound-absorbing panels from Ikea are a must. Theyre also good for softening the sound coming from teenagers bedrooms.

The panels come in packs of 15 and are modular, so you can create a wall hanging in a design of your choosing or use them as a room divider. Priced 25 for a pack of 15. Visit ikea.com.

You can now add vintage-style Filament bulbs to your Hue smart lighting system, which can be controlled via app using Bluetooth or by voice using Google Assistant or Amazon Alexa.

Add a Hue Bridge to control a whole home of up to 50 lights via app from anywhere, with smart mood settings and more.

A single button can turn off all the lights in the house when youre out, saving energy. Hue also offers colour-change light bulbs while its Friends of Hue collaborations offer a wide selection of lighting designs from brands including John Lewis & Partners. Priced from 17.99. Visit meethue.com.

An amazing way to avoid the bulk of a television is a short throw projector. Theyre designed to be placed very close to the wall or screen, yet project a huge, perfectly proportioned home cinema picture. There are no cables to trip over and no heads in the way.

Place this space-saving Optoma on a sideboard, just inches in front of a white wall, to enjoy a 120-inch 4K HDR big picture. Connect any source via HDMI or play media from a USB stick.

Powerful speakers are built in, so you wont need a soundbar or external speakers. Its also compatible with voice commands from Amazon Alexa or Google Assistant. Priced 3,299 at optoma.co.uk.

Control your smart home from anywhere in the world using an Android smartphone with Google Assistant. The upcoming Motorola Razr is the hottest of the lot. Its clamshell design features a flexible OLED screen. It looks like a normal-sized phone but you can fold it in half when not in use and the flexible screen simply folds up.

The Razr fits easily in a pocket when folded, while the big screen is protected from damage. Whether the phone is open or closed, you can control smart home devices with your voice. Priced 1,168 (SIM-free) or on contract with EE. Visit motorola.co.uk.

Want to store or back up your data on the internet without paying a monthly fee or worrying that your privacy could be breached? This hexagonal gizmo makes cloud storage more affordable and secure. Your data is chopped into little pieces, encrypted and the pieces are spread around thousands of Cubbits worldwide.

No one has access to your data because its dotted all over the place. And there are multiple copies, so its safe even if something goes wrong with one piece.

Theres no monthly fee. Instead you add storage to your own Cubbit for example, recycling an old hard drive by hooking it up to increase your storage allowance. Priced from 245 at cubbit.io.

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Ten of the best home tech gadgets for 2020:from 'rollable TVs' to ingenious pop-up steam closets and hi-tech home brew kits - Homes and Property

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How to talk someone out of bigotry with deep canvassing – Vox.com

What does it take to divert someone away from prejudice and toward greater acceptance of others in order to build support for progressive causes? Deep canvassing, a relatively new technique, is showing promise and is backed by rigorous testing from researchers and activists in the field.

One such activist is David Topping, who decided, along with other LGBTQ activists and allies, to try deep canvassing in Massachusetts in 2018, when transgender rights were on the ballot.

Massachusetts voters could choose to keep or throw out a law that banned discrimination based on gender identity. Topping, whos nonbinary, and others, went door to door. If they met a voter who wanted to get rid of the law, they wouldnt call them out for prejudice. Instead, they did something more radical: They listened, nonjudgmentally, and began a conversation.

Its not easy to confront people whose votes would seek to hurt you, and then try to change their minds. I came out two years ago now, and one of the hardest things for me has been talking with folks who dont understand [gender identity], and not immediately writing someone off because they dont immediately get it, Topping says.

Topping calls this giving them grace. Its a powerful idea: Giving grace ... means being able to hear someone say something that can be hurtful, and trying to think about how to have a real conversation and connect with them.

Massachusetts voters chose to protect trans rights, and Topping believes deep canvassing helped. This tactic is the only thing that has been proven to work on nondiscrimination, so without it we wouldnt have been able to win, they say.

Giving grace. Listening to a political opponents concerns. Finding common humanity. In 2020, these seem like radical propositions. But when it comes to changing minds, they work.

New research tells us changing minds with deep canvassing is not impossible; its just very hard. The payoffs are small and incremental, but they are real.

A 2016 study in Science proved it was possible. And now, a new peer-reviewed study a series of three placebo-controlled field experiments soon to be published in American Political Science Review replicates the findings and gives us new insights into the conditions for lasting opinion change and reductions in prejudice.

The new research shows that if you want to change someones mind, you need to have patience with them, ask them to reflect on their life, and listen. Its not about calling people out or labeling them fill-in-the-blank-phobic. Which makes it feel like a big departure from a lot of the current political dialogue.

I think in todays world, many communities have a call-out culture, says David Broockman, a UC Berkeley political scientist who has run these experiments with Josh Kalla, a political scientist at Yale University. Twitter is obviously full of the notion that what we should do is condemn those who disagree with us. What we can now say experimentally, the key to the success of these conversations is doing the exact opposite of that.

Over the past few years, deep canvassing has been adopted by some progressive activist groups looking to not only change minds when it comes to policies on immigration and LGBTQ rights, but also to reduce prejudice toward these groups.

In 2016, Broockman and Kalla showed that a 10-minute deep canvass conversation could reduce transgender prejudice for at least three months (you might recall this study was a redo of a previous experiment, from a separate team of researchers, which was retracted due to falsified data).

Topping and dozens of other canvassers were a part of that 2016 effort. It was an important study: Not only has social science found very few strategies that work, in experiments, to change minds on issues of prejudice, but even fewer tests of those strategies have occurred in the real world.

Typically, the conversations begin with the canvasser asking the voter for their opinion on a topic, like abortion access, immigration, or LGBTQ rights. Canvassers (who may or may not be members of the impacted community) listen nonjudgmentally. They dont say if they are pleased or hurt by the response. They are supposed to appear genuinely interested in hearing the subject ruminate on the question, as Broockman and Kallas latest study instructions read.

The canvassers then ask if the voters know anyone in the affected community, and ask if they relate to the persons story. If they dont, and even if they do, theyre asked a question like, When was a time someone showed you compassion when you really needed it? to get them to reflect on their experience when they might have felt something similar to the people in the marginalized community.

The canvassers also share their own stories: about being an immigrant, about being a member of the LGBTQ community, or about just knowing people who are. (You can read the full deep canvassing script here on page 47.)

Its a type of conversation thats closer to what a psychotherapist might have with a patient than a typical political argument. (One clinical therapist I showed it to said it sounded a bit like motivational interviewing, a technique used to help clients work through ambivalent feelings.) Its not about listing facts or calling people out on their prejudicial views. Its about sharing and listening, all the while nudging people to be analytical and think about their shared humanity with marginalized groups.

Its also quite a departure from standard political canvassing. Typically, in a political canvass, an activist might list a bunch of facts or statistics about why the voter should support their cause. Not so with deep canvassing.

Instead of pelting voters with facts, we ask open-ended questions and then we listen, Dave Fleischer, the LGBTQ rights organizer who developed the technique, told me in 2016. And then we continue to ask open-ended questions based on what they just told us. The idea is that people learn lessons more durably when they come to the conclusion themselves, not when someone bitch-slaps you with a statistic, Fleischer said. It is stories, not facts, that are most compelling to people when theyre changing their minds.

Heres a 2015 video example of deep canvassing. Its of a real voter and a canvasser from the Leadership Lab, a program of the Los Angeles LGBT Center, which spearheaded this canvassing method after losing the 2008 Proposition 8 ballot initiative in California. The woman in the video starts off ambivalent on transgender issues. But through deep canvassing, the activist is able to turn her around.

Specifically, the canvasser asks the voter to recall a time when he or she was discriminated against. Toward the end of the conversation, the canvasser nudges the voter into thinking about how that experience can relate to the plight of transgender people. The idea is that people learn lessons more durably when they come to the conclusions on their own.

In the video above, notice how the voter starts to come around on the issue when the canvasser asks if shes ever been on the receiving end of discrimination. She talks about being picked on at work and feeling different. He responds by telling his story of being discriminated against for being gay. Its a real heart-to-heart between strangers.

And in that moment, he points out that a transgender nondiscrimination law would help people who feel discriminated against at school or work.

Oh, okay, that makes a lot of sense, she says.

The video ends like this. I would totally vote in favor, the woman says of a transgender protection law. Its only right. Let a person be who they are.

In the new study, Kalla and Broockman put deep canvassing through a more rigorous test. Namely: Its larger, and it targets more issues, both trans rights and policies protective of undocumented immigrants.

The new research also tries to identify the secret ingredient that makes deep canvassing work, and whether versions of it that occur over the phone or through video prompts can be useful as well. (These methods may make it easier to scale up in a bigger campaign.)

The first of the three experiments was pretty much a replication of the 2016 study, but on the topic of rights for undocumented immigrants.

In it, canvassers in three areas central Tennessee; Fresno, California; and Orange County, California went door to door and interacted with 2,374 voters in these communities during the runup to the 2018 midterm elections.

All three places are experiencing demographic change, with a growing and diversifying population of immigrant residents, says Kim Serrano, the messaging research project manager at the California Immigrant Policy Center. Tennessee and the Central Valley have been the sites of large-scale workplace raids by ICE [Immigration and Customs Enforcement] in recent years, she says, and various cities in Orange County have attempted to opt out of the California Values Act. Thats a state law that limits the collaboration between local law enforcement and federal immigration enforcement.

The experiment, like all the ones in the study, was run a bit like a drug trial: The voters were randomly assigned (before the canvassers even knocked on their doors) to receive either the full deep canvassing conversation treatment, a watered-down version where the voters and canvassers dont exchange personal stories, or a placebo condition, where voters were engaged in a conversation that had nothing to do with immigration. The voters were followed up with by survey one week, one month, and several months after being contacted by the canvassers.

After the canvassing, 29 percent of the people in the placebo condition said they strongly supported policies inclusive of undocumented immigrants. In the full-conversation condition, 33 percent were in support. The effect was durable, too: Three to six months after the conversation, voters who shared their feelings with canvassers in this manner also reported less prejudice toward undocumented immigrants.

The watered-down intervention without the two-way exchange didnt move anyone to support undocumented immigrants. Thats a new finding.

Now we can show experimentally that when you take away the two-way nature of the conversation, the effects go away, Broockman says. Its this nonjudgmental exchanging of narratives that Broockman and Kalla think is the key ingredient in how deep canvassing works.

Keep in mind the media environment the canvassers were working in. Immigration particularly that of asylum seekers loomed over the 2018 elections. In the runup, conservative news outlets were blaring headlines about a scary immigrant caravan marching north through Mexico to the US southern border. President Trump called it an invasion, apparently hoping that by raising xenophobic, dehumanizing fears about nonwhite immigrants, as he had in 2016, hed help his party win seats in Congress.

In this graph, Broockman and Kalla break down how the canvassing moved the needle on particular questions: whether the government should provide attorneys for undocumented immigrants in legal proceedings; whether the US should grant legal status to people who were brought to the US illegally as children; whether they support deporting all undocumented immigrants; and whether undocumented immigrants should live in fear of daily deportation.

Broockman points out that this graph shows the impacts of deep canvassing among all people who came to the door to answer the canvassers questions. It includes those who immediately shut the door in the canvassers face. The numbers get a bit bigger when you just focus on people who actually entered into the conversation, he says. Among those who started the conversation, there was a 7 percentage point increase for granting legal status to people brought to the US as children, he says, for example.

This is not just a story of pushing on an open door and taking people who are already Democrats and they just needed a small push, Broockman adds. Even as Trump was talking about the caravan, we see that Republicans in our study are moving.

And like the 2016 study, Broockman and Kalla found it didnt matter who the canvassers were: They could be members of the impacted communities, or just allies. Both types of canvassers could instigate change.

The two other experiments in the study targeted transphobia. In these, researchers included conditions to see whether the conversations could work if conducted over the phone (they did, but it was slightly less effective). In another condition, the canvassers didnt share their own story, but instead played a video of someone experiencing prejudice and then based the conversation around that. That also worked.

Its worth noting that some of the results were less strong than those Broockman and Kalla reported in their 2016 paper.

The impacts these conversations had on feelings of prejudice, Broockman admits, are about a third as strong. When working with new groups, new staff, on a new issue and at bigger scale, I think its natural to expect smaller effects, he says. (Its hard, he adds, to directly compare the two papers, though, since the 2016 effort focused a bit more on combating prejudice, and this one more so on policy.)

Emile Bruneau, a neuroscientist who studies intergroup conflict at the University of Pennsylvania and was not involved in the canvassing experiments, tells me in an email it is so promising to see an intervention, any intervention, that has a lasting effect on big social issues.

Whats missing here, she says, is a theoretical understanding for why the change is occurring. Without that theoretical understanding, its difficult to generalize and use the approach in other settings, Bruneau says.

It does seem as though the two-way nature of the conversations is essential for the canvassing technique to work. But why? Broockman and Kalla arent completely sure. Their main hypothesis is that it works because its not threatening. People are resistant to changing their mind during an argument, the hypothesis goes, because it threatens their self-image. Sharing narratives gets around that: The persuasion happens because in talking about themselves, the voters realize a more tolerant attitude is consistent with their self-image.

Broockman says they didnt set out to find the exact mechanism. That is just not what we are trying to do here, he says. Social science experiments are usually conducted on college campuses, in a lab, in contrived scenarios. Theres plenty of work that offers some possible mechanisms by which opinions change. But this work isnt about that. One way you could think about our study is as an effort to try to ... use the insights of lab studies in real-world settings, he says.

(Also worth noting: Deep canvassing has only been tested with progressive causes. Could it be used to wage conservative culture wars? Possibly. Or for issues like the acceptance of genetically modified foods? Thats not known.)

Theres also the question: Is it worth the effort?

The truth is, theres not much out there in scientific literature on what can change a voters mind.

In 2018, Kalla and Broockman published a meta-analysis of 49 experiments that were designed to test whether voters are persuadable by conventional means: phone calls, television ads, traditional canvassing, and so on. In aggregate, it turns out these tactics dont work at all.

The effects of most efforts to change peoples minds on an issue, if successful at all, tend to fade over time. The impact of television ads, in particular, can fade in just a week. Deep canvassing, it appears from the research, has an effect that can last for several months.

These deep conversations, I suspect, may be more cost-effective in the long run because the impacts are durable, Serrano says.

And while the effects may be small, only moving opinion a handful of percentage points among those canvassed may be worth it, too. Im a campaign person; youd do anything for 3.5 points, says Fran Hutchins, the deputy director of the Equality Federation who worked on deep canvassing efforts reported in the new study. Think of any of our recent elections nobody is winning these things by 10 or 20 points. It always comes down to just a few points.

Theres a smaller finding nestled in Broockman and Kallas new paper, one that might not make headlines but is worth thinking about.

In the experiment on immigration, Broockman and Kalla found that 78 percent of all the people who came to the door when the canvasser rang ended up staying for the entire conversation. And 75 percent of the people who start the conversations with the canvassers share a story about their own lives.

Those basic numbers tell you something about just how willing most Americans are to have an open conversation with a stranger about these ostensibly divisive issues, Broockman says.

Its a reminder that our political opponents arent always as rigid or ideologically severe as they appear in our minds. In his work, Bruneau finds that political partisans have a skewed view of how they think their opponents think of them. Which is to say: Republicans assume Democrats dislike them more than they actually do, and vice versa. And its this meta-perception, Bruneau finds, that then fuels ongoing conflict and dehumanization.

The activists and scientists I spoke to for this story all agree that you cant change everyones minds.

Topping says, in their experience, deep canvassing works best on people who might be concerned about an issue like transgender people in bathrooms but have never really talked through their feelings. Thats likely a lot of people.

In the age of Trump, theres a compelling push to call things what they are. When we see racist behavior, we should call it racist and not be euphemistic by calling it racially charged. Arguably, theres a time and place for calling people out, particularly when it comes to powerful, influential people. But maybe not when it comes to our neighbors.

Broockman says this research can at least lend ordinary people a new script when dealing with people in their lives who hold prejudicial opinions. Thats refreshing and useful. These conversations arent arguments. In a way, they may be a form of public therapy for all sides involved.

This kind of conversation helps me talk to family members who arent totally there yet on accepting their identity, Topping says. It has taught me patience, and taught me to see people from the most positive view that I can.

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What Made Virginia Change Its Mind on Guns? – The New York Times

But in recent years, the district has tilted leftward as once rural areas of Chesterfield County have been developed into housing that attracts young professionals. The newcomers often have brought different, more liberal political sensibilities, becoming a potent force on gun safety issues. And some suburban women, even longer-term residents of the district like Ms. Johnson, who now considers herself a Democrat, have changed their opinions on gun control or increasingly seen gun limits as central to their political outlook.

In November, that tilt became clear with the election of Ghazala Hashmi, the Democrat who won the State Senate seat with 54 percent of the vote. She defeated Glen Sturtevant Jr., a Republican incumbent who had been endorsed by the National Rifle Association.

I think women especially have realized they have a strong opportunity to make political change, Ms. Hashmi said. For me, I felt not just a deflation of expectation when gun safety laws werent passed last summer, but I also noticed there was a more general feeling going around that enough is enough weve given these folks every opportunity to give the public what they want.

In interviews this week with about two dozen people who live in her Senate district, many said they supported restrictions on firearms to prevent gun violence, including suicides. But opinions varied, often significantly, depending on which portion of the district the voter lived in.

Powhatan County is only a 45-minute drive from Richmond but can feel much further away, with its forested fields and hawks circling overhead. There, people said lawmakers in Richmond had gone too far.

Some said they fear that gun control measures being weighed in the state capital in recent days were a prelude to the government seizing all firearms. What I see is that people want to control something theyre afraid of, or they dont understand, said Jean Gannon, Powhatan Countys Republican Party chairwoman. This is just the beginning because the ultimate goal is to take guns from people.

At the root of this districts and Virginias political transition is a slow-moving demographic change, a new kind of suburbanization that is sweeping through national politics. From Atlanta to Houston, this pattern is repeating itself suburban housing developments gobbling up rural areas and farmland and lifting Democrats to power.

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What Made Virginia Change Its Mind on Guns? - The New York Times

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Advancing AI Through Collaborative Sprints at VA – GovernmentCIO Media

The agency is creating datasets to foster artificial intelligence development through private-public partnerships.

The Department of Veterans Affairs has laid out a blueprint for advancing artificial intelligence development through a program of data curation and collaboration between private and public research institutions, presented by AI Director Gil Alterovitz at ACT-IAC's Artificial Intelligence Automation Forum Tuesday.

With the VAs nascent AI departmentfounded in May 2019 and Alterovitz appointed director just two months later, the agency has already made considerable strides in applying AI to diagnostics and medical care.

There was a paper in 'Nature' that was done in collaboration with VA and Google DeepMind around predicting acute kidney injury," Alterovitz said in discussing the agency's early collaborative successes. If youre actually able to predict [acute kidney injury] 48 hours in advance you can actually reverse course and prevent the disease from happening.

The collaboration between the VA and DeepMind appears to be a template the VA is intent on following toadvance its AI research. Sharing newfound applications of AI and machine learning between the federal government and private sector allows for the consilience of best practices, creating a knowledge base that would be unfeasible were the two spheres to work in isolation, Alterovitz said.

There were some initial challenges in fostering private-public collaboration, especially through the availability of viable data sets. This has led to fostering data sharing and curation a priority at the VA, a project that remains an area of ongoing development.

One of the things weve been working on at the VA is called the AI-able Data Ecosystem Pilot thats basically a way to incentivize government and industry to work together by sharing data, Alterovitz said.People who want to make AI models can get data that works for those AI models.

The complexity and variety of potential AI projects demands an equal variability of data sets, with the AI-able Data Ecosystem Pilot drawing data sets from both government agencies and private firms with a corresponding diversity of missions and institutional priorities.

The VA designed the AI-able Ecosystem Pilot with the intent of supporting demonstrable uses of AI and machine learning.

The thinking is that you can give someone little bits of data, just enough that they can build tools it allows them to show some proof of concept, Alterovitz said.

The development of AI-able data and test applications have been organized under a program of tech sprints overseen by the VA, a project supported by the recent allocation of a Government Innovation Award. This has allowed the VA to create a basis for supporting these collaborative initiatives, with Alterovitz noting, We created new data sets and data policies specifically for the tech sprints.

Going forward, the VA appears focused on further exploring the scope of potential AI uses particularly through broadening the scope of institutions participating in these tech sprints.

Were also interacting and collaborating with a number of other programs, Alterovitz said.

Ultimately, the NAII is aiming to foster larger-scale, systemic AI applications beyond the standalone projects developed under the prior tech sprints.

Looking ahead, a lot of the challenges are really around scaling AI, Alterovitz concluded.

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The connection between Penn wrestling and engineering is one that runs decades deep – The Daily Pennsylvanian

Eleven of the team's 38 wrestlers are engineers By Will DiGrande 23 hours ago

Sophomore Anthony Artalona is just one of Penn's 11 wrestlers in the Engineering school.

Studying engineering at a school like Penn is no easy feat by itself, but a select group of wrestlers somehow makes it work every year along with their time on the mat.

Penn wrestling has historically been closely tied to the School of Engineering and Applied Science, with a significant number of team members drawn to the rigorous yet well-renowned programs it offers.

Presently, the Red and Blue have 11 engineers out of a roster of 38, a much greater fraction than most other Penn teams. These student-athletes are not limited to a certain year either, with four freshmen, three sophomores, and four seniors including Adam Kirsh, in a dual-degree program with Wharton comprising wrestling's engineering contingent.

Some of the most talented members of the team happen to be among this group, including sophomore Anthony Artalona, who just last week was ranked No. 13 for the 157-pound weight class in the NCAA Division I Coaches Panel.

"The main part of balancing it is just enjoying the work," Artalona said. "I don't mind working many hours in the week to finish the work I need to do because I enjoy it."

Other engineers who have seen notable recent success for the Red and Blue are freshman Jake Stefanowicz and sophomore Jake Hendricks, each of whom picked up wins in Penn's most recent set of dual matches.

Brothers and teammates Carl and Neil Antrassian, a senior and sophomore, respectively, are also engineers on the team and bring a unique bond that helps bring the whole group closer.

"When I was a freshman, other members of the team were able to help me with my classes, so it's really great to have teammates that you can rely on to help," Neil said.

"It's nice to have people around you doing the hard stuff, too," Artalona agreed. "When you're working extra hard, you know they are as well, so it's nice to know you're not the only one."

The Penn wrestling-engineering connection is by no means a recent one. Program greats such as Class of 1999 graduate Andrei Rodzianko in a dual-degree program with Wharton and Class of 2002 graduate Rick Springman were also engineering students during their undergraduate careers.

In addition to being Penn's first-ever title winner at the Midlands Championship and an NCAA All-American, Rodzianko also received the Dr. Harry Fields Award for academic achievement in three of his four years, showcasing his dominance both inside and out of the classroom.

Springman will likewise be remembered for his success on and off the mat, as he captured an EIWA title in 2000 while also contributing to the Philadelphia spoken word scene during his time at Penn.

The tradition has continued to the present day, where the wrestling mat still remains a special place on campus for the tight-knit group bound by their academic passion.

Get our newsletter, Dear Penn, delivered to your inbox every weekday morning.

But like all other student-athletes, how wrestling engineers balance their priorities all comes down to being organized with their schedules.

"One thing our coach stresses when we're freshmen and new to Penn is being efficient with your time," Neil said. "We don't have as much free time as other students because we have to come in here, watch film, and be on the road a lot, so you really have to make your time count."

While many aspects of the Penn wrestling roster have changed over the years including the 2005 departure of coach Roger Reina before he returned three years ago the consistent and impactful engineering class won't likely be shrinking anytime soon.

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The connection between Penn wrestling and engineering is one that runs decades deep - The Daily Pennsylvanian

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This AI startup went viral after fooling airport facial recognition with printed masks. Here’s the pitch deck it used to raise $73 million from…

Kneron, the AI startup working to make home devices more secure, has raised $73 million in a Series A fundraising round led by Horizons Ventures, an early backer of DeepMind and Siri.

The US-Taiwanese company gained fame in December 2019 after its researchers found they were easily able to fool facial recognition scanners on payment devices and at Schiphol airport in Amsterdam with printed masks.

The company designs edge AI chips that keep customer data off the cloud, using algorithms to process information on-device, improving security and efficiency when performing tasks like voice or facial recognition.

Edge AI is a term for on-device AI, and the technology is becoming increasingly popular. According to market research firm Million Insights, the edge AI industry is set to be worth $3.24 billion by 2025. And Apple acquired edge AI company Xnor.ai earlier in January.

As well as Horizons, backers of Kneron's Series A round include Alibaba's Entrepreneurs Fund, Sequoia Capital and Qualcomm.

Albert Liu, founder and CEO, said "We are excited to continue our journey with partners like Horizons Ventures who share our passion and dedication towards our mission to enable AI on any device [and] democratize AI."

Jonathan Tam, an investor with Horizons Ventures, said: "We are excited to see Kneron's AI software and hardware solutions integrating into partner products that are shipping worldwide."

He added: "We expect to see a surge in demand for on-device AI compute going forward, and Kneron is perfectly positioned to equip these devices with highly efficient AI capabilities without sacrificing power."

Check out the pitch deck Kneron used to bring on investors below:

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This AI startup went viral after fooling airport facial recognition with printed masks. Here's the pitch deck it used to raise $73 million from...

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