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These will be the most important AI and automation economies, according to Tortoise Intelligence’s Global AI Index – World Economic Forum

Artificial Intelligence (AI) is shaking up the global pecking order, allowing many smaller countries to stand tall in a new competitive landscape. Established metrics such as gross domestic product (GDP) can tell you at a glance which are the worlds largest economies. But, according to a new report, they wont tell you which ones are most likely to succeed in a new AI-driven world.

That prize is likely to go to the country, or countries, that are making the right strategic investments now. Those investments are focused on equipping their citizens, businesses and institutions with the tools, technology and training needed for AI. And while the worlds two largest economies - the United States and China - look likely to dominate the AI race, some smaller nations could start to make an impact on the global AI stage.

Against the backdrop of the Fourth Industrial Revolution, which is disrupting the old global business order, having the right AI strategy in place could turn out to be vital.

The World Economic Forum was the first to draw the worlds attention to the Fourth Industrial Revolution, the current period of unprecedented change driven by rapid technological advances. Policies, norms and regulations have not been able to keep up with the pace of innovation, creating a growing need to fill this gap.

The Forum established the Centre for the Fourth Industrial Revolution Network in 2017 to ensure that new and emerging technologies will helpnot harmhumanity in the future. Headquartered in San Francisco, the network launched centres in China, India and Japan in 2018 and is rapidly establishing locally-run Affiliate Centres in many countries around the world.

The global network is working closely with partners from government, business, academia and civil society to co-design and pilot agile frameworks for governing new and emerging technologies, including artificial intelligence (AI), autonomous vehicles, blockchain, data policy, digital trade, drones, internet of things (IoT), precision medicine and environmental innovations.

Learn more about the groundbreaking work that the Centre for the Fourth Industrial Revolution Network is doing to prepare us for the future.

Want to help us shape the Fourth Industrial Revolution? Contact us to find out how you can become a member or partner.

Spending on AI between 2014 and 2019.

Image: Tortoise Intelligence

These are some of the conclusions of an analysis carried out by Tortoise Intelligence into the AI investments made by a group of 54 countries.

To date, the US has spent far more than any other country on AI. But a large part of that is made up of investments into privately owned AI businesses; it is not necessarily a sign of a coherent nationwide AI strategy. To see evidence of that, you need to look to China.

China's public investment in AI compared tpo

Image: Tortoise Intelligence

China may be in second place right now, but its government-driven industrial policies have committed to a level of AI spending this decade that will eclipse the US. According to Tortoise, the value of Chinas AI spending plans are one-and-a-half times greater than every other country in the world combined. It already spends more than the US on AI research.

Chinas AI spending far exceeds that of the US.

Image: Tortoise Intelligence

One of the mechanisms used by Tortoise to assess countries relative AI performance was to look at the number of articles published by AI academics and experts. The greatest number of these were clustered around two groups of nations: the traditional champions and the rising stars.

The traditional champions are countries such as Canada, France, Germany and the UK. These are well-established, developed economies that have made good progress on AI. Theyre determined not to miss out, but they will never compete with the two superpowers.

Rising stars and traditional champions benefit from a wealth of talent.

Image: Tortoise Intelligence

The rising stars are an even more interesting collection. They wont be found in the Top 10 of economies based on GDP. But they have a solid talent base and are demonstrating excellence in research. Singapore, Israel, Ireland and Finland are all in this group, along with Australia, Denmark and Switzerland.

These countries are likely to remain middle-ranking AI economies, but for some smaller nations like those in the Nordics, this could be an opportunity to leapfrog to a much higher spot in the global power league.

For some countries, there are infrastructure challenges that need to be addressed before a serious conversation can be had about their ability to take advantage of AI. These nascent economies such as Kenya, Sri Lanka, Nigeria, Egypt and Pakistan could be left even further behind as wealth inequalities are compounded by a widening global digital divide.

But in India, the United Arab Emirates and other nations waking up to AI, there are encouraging signs of progress. India has a large, well-educated middle class that is very tech-savvy, not to mention several multinational technology businesses. Building on those foundations means Indias AI prowess is likely to grow rapidly. While the UAE is the only country in the world to have both a national AI strategy and appointed an AI minister.

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World Economic Forum articles may be republished in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

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2020: The Year Of Peak New-Car? Disruption Is Fast Approaching – InsideEVs

In January 2020, Tony Seba gave the keynote speech at the North Carolina Department of Transportation 2020 Summit.

He titled his speech "The Future of Transportation."

It is a very good speech. If you have an hour to watch it, I recommend doing so. Or, you can just read my summary and get the key points he made. This summary is not a transcript. I have quoted some of what he said, but mostly I've organized and paraphrased his words.

Tony begins talking in general about technology disruption. He begins with the adoption of automobiles. He showed a picture of the 1900 Easter parade in New York City. The road was filled with horse-drawn carriages and one automobile. He then showed a picture taken in 1913 in New York City. The road was filled with automobiles and one horse-drawn carriage.

He gives the following definition:

"A disruption is essentially when there is a convergence of technologies that make a product or service possible, and that product, in turn, can help create new markets ... and at the same time destroy or radically transform existing industries."

Tony explains a few case studies of companies that have experienced disruptions. These disruptions were often glossed over by analysts. He cites AT&T and Nokia.

He asks, why do smart organizations fail to anticipate or lead in technology disruptions? He talks a little about his disruption framework, which he has created to examine disruptions. He asks, "can we anticipate, can we forecast, more or less, disruptions to come?"

Tony takes a dive into technology cost curves. As production expands, the costs of technologies come down. Technologies are not adopted linearly but are always adopted in an S curve manner.

He reflects on the speed of the automobile adoption. It went from 0% to 95% nationally in 20 years. However, the adoption went from the tipping point to 80% in just 10 years. All the while, the US concurrently built the oil industry (distribution infrastructure), a national road infrastructure and fought WWI.

Tony touts that technology S curves are getting steeper. Adoption is happening faster and faster.

Analysts' projections are very often linear. Analysts often don't take into consideration the fact that adoptions are about systems, technology improvements working together. He cites forecasts made by the EIA (Energy Information Administration) as an example. The EIA has consistently failed with many projections.

Tony talks about technology convergence, a set of technologies that come together at the same time. He says disruptions happen from the outside. It's very rare that a company disrupts itself.

He briefly discusses ride-hailing, Uber & Lyft. The smart-phone made ride-hailing possible. In just eight years ride-hailing went from 0% to 20% of vehicle miles driven in San Francisco. He predicts that in 2020, we will realize peak new-car (globally). Car ownership will begin to decline thereafter.

Tony talks about the concept of "Market Trauma." Mainstream analysts say that EVs are "only 2% - 3% of the market, how much damage can it do?" They say "it's going to take 10 - 20 years before this takes over." A technology can disrupt the economics of an incumbent way before they have 10 - 20% of the market.

Small changes can have swift, dramatic impact in existing industries. In 2014, Tony wrote a book called "Clean Disruption of Energy & Transportation." The book focuses on these areas; batteries, electric vehicles, autonomous vehicles, on-demand transportation and solar.

In 2014, he made a predictive cost curve for lithium-ion batteries. He predicted that lithium-ion batteries would cost $100/kWh by 2023. His cost curve has actually proven to be a little conservative. Tony gives batteries storage as an example of "Market Trauma."

One example is the Tesla battery bank in Australia. The Tesla battery holds only 2% of the market capacity (ancillary services market) and yet has taken 55% market share. It has pushed down wholesale prices by 90%. Incumbent revenues have been brought down by 90%. Natural gas peaker-plants are being stranded. He also cites GE's mistaken choice to invest heavily in natural gas electrical as another example of market trauma.

Tony transitions to talking about EVs. He talks about the "gas savings EVs enjoy. EVs are much cheaper to operate. They are up to ten times cheaper to maintain. He shows a clip of the Rivian truck doing tank turns, as an example of EVs being a better product.

EVs have a much longer life span, up to 500,000 miles, up to 2.5 times longer than IC vehicles. This is of particular interest to fleet operators. It makes total sense for fleet managers to go full EV.

He shows his cost curve for EVs. He predicts in his curve that basic 200 mile EVs will cost as little as $12,000 by 2025.

Tony predicts that next year is the EV tipping point, "for purely economic reasons." He says "it won't make any sense to buy a gas car." He predicts that every new car after 2025 will be electric. Tony cites Amazon's order of 100,000 delivery vans from Rivian, "for purely economic reasons."

Tony goes on to talk about autonomous technology. He features Waymo's autonomous ride-hailing. More than four dozen companies are investing in autonomous technology. He says "Think of EVs as computers on wheels." No one is waiting around to create autonomous technology. Only two companies will survive (only two autonomous companies).

Autonomous vehicles are safer than humans. Prediction: by 2030, we are going to be talking about taking away drivers licenses from humans. Insurance costs for human drivers will go up.

Tony brings up computing power. How quickly is the supercomputing cost curve improving? In the year 2000, the largest supercomputer on earth cost 46 million dollars and could do 1 TeraFlops (Sandia National Labs). The Apple X on iPhone released in 2019 can do 5 TeraFlops and costs about $600.

The improvements in AI are double exponential. Tony cites an AI learning to play AlphaGo and beating the world champion, then the next generation AI learning to beat the previous generation AI within days rather than months or years.

The real big disruption is in the convergence of electric vehicles, ride-hailing and autonomous vehicles. This convergence will create Transportation as a Service (TaaS). "Everyone is going electric." DIDI (the China equivalent to Uber) expects to have 1 million electric vehicles on the road by 2020.

Tony predicts that when autonomous technology goes live (approved) consumers will face the choice of buying a vehicle or using TaaS. TaaS will be up to ten times less expensive than vehicle ownership. Tony predicts that eventually, TaaS will cost less than 18 cents per mile. He says that by 2030 95% of all vehicles miles driven will be done by TaaS fleets.

By 2030 vehicle ownership will be 60% fleets and 40% personal. However, most of the miles will be driven by TaaS fleets. People will save, on average, $5,600 a year. The total US vehicle fleet will shrink by 70%. There will be fewer cars. Those fewer cars will be doing most of the driving miles.

By 2030 Taas will save the economy 1 trillion dollars per year. US disposable income will increase by 1 trillion dollars per year. The cost of travel will be only 5 cents to 10 cents per mile. This will have implications for the economy, social, health, work and other areas.

Tony predicts that oil demand will peak this year or next (2021). After this, the price of oil will eventually fall to $25 per barrel.

He talks about parking lots. He says 80% of parking will become obsolete. There will be a drastically reduced need for parking lots. That space can be re-utilized. It can be used for other things.

Tony says this disruption is not just about transportation, everything is changing. Now is the time to imagine what type of city we want in 10 years. He says that it is as if we are in 1900, we are on the cusp of the deepest, fastest, most consequential disruption in 100 years, and perhaps ever.

From the comments on the video, Tony has been saying these things for a while. It is of note, though, how closely he has come to the mark.

I question the 10 cents per mile for ride-hailing and 70% fewer automobile ownership. For the ride-hailing to be this low, electricity would have to be very cheap, and the cost of the autonomous vehicles would have to be extremely low. If an autonomous vehicle was available for $20,000 and it could go 1 million miles with minimal maintenance, then the amortized cost could be 2 - 3 cents per mile. Add to that electricity, at least 4 cents a mile. Add to that the ride-hailing service's cut and the total is going to be over 10 cents a mile.

Besides, if I could buy a million-mile EV for $20,000, why wouldn't I? It could be the last car I'd ever have to buy. The low-cost EV that makes the cheap ride-hailing possible also makes cheap automobile ownership possible, a bit of a paradox (sounds like the topic for another article). I guess we have to wait only a few years to see if Tony Seba is correct.

The Future of Transportation, Tony Seba Keynote Speaker at the 2020 NC DOT Summit http://www.youtube.com/watch?v=y916mxoio0E

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Cloud Hosting Service Providers Market investigated in the latest research – WhaTech Technology and Markets News

Cloud Hosting Service Providers Market 2020: Business Strategy, Revenue, Demands and Future Development. Global Cloud Hosting Service Providers Industry 2020 Market Research Report A new report added by DeepResearchReports.com to its research database. Cloud Hosting Service Providers Market segment by Regions/Countries.

TheGlobal Cloud Hosting Service Providers Industry: 2020 Market Report is a professional and in-depth study on the current state of the Cloud Hosting Service Providers Market.

http://www.deepresearchreports.com/contactme=1222111

The report provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. TheCloud Hosting Service Providers market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status.

This report focuses on Cloud Hosting Service Providers volume and value at global level, regional level and company level. From a global perspective, this report represents overall Cloud Hosting Service Providers market size by analyzing historical data and future prospect.

2020 Global Cloud Hosting Service Providers Market Report is a professional and in-depth research report on the worlds major regional market conditions of the Cloud Hosting Service Providers industry, focusing on the main regions and the main countries (United States, Europe, Japan and China).

The report introduces Cloud Hosting Service Providers basic information including definition, classification, application, industry chain structure, industry overview, policy analysis, and news analysis,. Insightful predictions for the Cloud Hosting Service Providers market for the coming few years have also been included in the report.

Analysis of Cloud Hosting Service Providers IndustryKey Manufacturers:

SoftLayer, Google, Distil Networks, Qt Cloud Services, Telax, CompuLab, Red Hat, Amazon, CenturyLink, Acquia, ViaWest, Microsoft, CSC, HP, Fujitsu

Development policiesand plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins.

The report focuses on global major leading Cloud Hosting Service Providers Industry players providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information. Upstream raw materials and equipment and downstream demand analysis is also carried out.

The Cloud Hosting Service Providers industry development trends and marketing channels are analyzed. Finally the feasibility of new investment projects are assessed and overall research conclusions offered.

With the list of tables and figuresthe report provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.

Table of Contents

1 Industry Overview of Cloud Hosting Service Providers2 Manufacturing Cost Structure Analysis of Cloud Hosting Service Providers3 Technical Data and Manufacturing Plants Analysis of Cloud Hosting Service Providers4 Capacity, Production and Revenue Analysis of Cloud Hosting Service Providers by Regions, Types and Manufacturers5 Price, Cost, Gross and Gross Margin Analysis of Cloud Hosting Service Providers by Regions, Types and Manufacturers6 Consumption Volume, Consumption Value and Sale Price Analysis of Cloud Hosting Service Providers by Regions, Types and Applications7 Supply, Import, Export and Consumption Analysis of Cloud Hosting Service Providers

8 Major Manufacturers Analysis of Cloud Hosting Service Providers9 Marketing Trader or Distributor Analysis of Cloud Hosting Service Providers10 Industry Chain Analysis of Cloud Hosting Service Providers11 Development Trend of Analysis of Cloud Hosting Service Providers12 New Project Investment Feasibility Analysis of Cloud Hosting Service Providers13 Conclusion of the Global Cloud Hosting Service Providers Industry 2020 Market Research Report

Download PDF Report http://www.deepresearchreports.com/contactme=1222111

The study objectives are:

- To analyze and research the Cloud Hosting Service Providers status and future forecast in United States, European Union and China, involving sales, value (revenue), growth rate (CAGR), market share, historical and forecast.

- To present the key Cloud Hosting Service Providers manufacturers, presenting the sales, revenue, market share, and recent development for key players.

- To split the breakdown data by regions, type, companies and applications

- To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.

- To identify significant trends, drivers, influence factors in global and regions

- To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market

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Mastering the complexity of multi-cloud in 2020 – Intelligent CIO ME

As enterprises demands look set to continue maturing thisyear, they are better able to distinguish between cloud platforms and identifywhich ones work best for their applications.

Its no longer about moving to cloud, its aboutwhich cloud, said Andrew Cruise, Managing Director at Routed, Africas onlyvendor neutral cloud infrastructure provider.

Now that market penetration of cloud, particularlyinternationally, has hit a critical mass, we see enterprises are much moreconfident about moving workloads than before when it appeared they would be onthe bleeding edge. While there are still some concerns around uptime, performanceand security, these are largely being addressed without any need to reinventthe wheel.

Multi-cloud is already broadly being achieved throughSaaS applications like Salesforce.com and Office365, through utilising anenterprises own on-premise infrastructure, and via several other cloudplatforms.

True multi-cloud however, involves IaaS from multipleproviders across native hyperscale IaaS (or PaaS) as well as private cloud,both hosted and on-premise, explained Cruise.

In order to successfully implement multi-cloud, an enterprise would need to replace parts of their overall infrastructure estate, either by re-hosting workloads (lift and shift) into a hosted private cloud, or re-architecting applications in a cloud-native way to suit native hyperscale clouds. Secure connectivity, either through VPN, SD-WAN or private circuit, is also a must.

Not one single cloud can ever be the silver bullet tosolve all an enterprises problems.

Cloud only, hybrid cloud, or on-premise onlysolutions are already legacy and too restrictive. Utilising a hosted privatecloud for traditional applications as an initial lift-and-shift can make it easierto digitally transform by alleviating pressures on on-premise resources andallow them time to properly re-architect suitable applications in the nativehyperscale cloud.

While the benefits of multi-cloud are impossible tooverlook, enterprises need to think carefully about the best strategies formanaging the complexity of multi-cloud environments. It is not possible tomanage mult-icloud effectively on-demand, manually, without automation.

Similarly, human expertise will always be required, saidCruise.

Any kind of one-size-fits-all thinking is bound tofail. Further, workload migration between on-premise and cloud and betweencloud and cloud is non-trivial and the difficulties should not beunderestimated. Unless one standardises on a single platform across multipleclouds, for example, VMware ESXi (which is available on local VMware cloudproviders and on all the major hyperscalers too), the ideal of frictionlessmigration between clouds is a pipedream.

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Weather Source uses Snowflake to keep ahead of extreme weather – ComputerWeekly.com

Due to the increased frequency of extreme weather, businesses have to make sure they protect themselves. In January, Brge Brende, president of the World Economic Forum, warned that climate change and environmental risks are the biggest threats facing society.

Even businesses that are not directly affected by extreme weather events may face risks if accurate weather forecasting is not built into their business assumptions, with Peter Giger, group chief risk officer of Zurich Insurance Group, recently asking: If weather patterns change, how do I look at the probability of events occurring?

The floods in 2013 were reported as the worst December and January rainfall on record. Two years later, in 2015, Cumbria and North East England faced Storm Desmond, which broke records for the most rainfall in a single day. This week, residents of Cumbria are again facing the big clean-up in the wake of Storm Ciara.

Weather Source provides enterprise clients with meteorological data to support their businesses. Such information is becoming business critical, due to the effects of climate change.

What we are seeing is climate change is in full effect, says Mark Gibbas, CEO of Weather Source. Weather information is important to many companies that have sensitivity to weather, which can impact their operations and their revenue.

As weather becomes more extreme, accurate forecasting becomes increasingly important in helping companies to quantify and manage climate risks.

Weather Source has created a business to provide such information to businesses. According to Gibbas, what makes the service unique is that it offers a continuum of weather over space and time, which provides a history of normal weather conditions for any hour of the year and the variants in weather.

In the early years of the company, around 2015, Weather Source used MySQL on optimised hardware for speed. As it expanded, it began hosting the service on Amazon Web Services (AWS) and Google Cloud Platform (GCP). While public cloud hosting is still being used, Gibbas says the company wanted to achieve greater speed and efficiency.

Due to the complex dataset it requires a time series database which spans the planet Gibbas says the company needed something that could handle petabytes of data.

Weather Source selected Snowflakes Data Exchange to provide its clients with a better understanding of climate change risk and to increase its customer portfolio. This data includes hyper-local weather information and climate data from around the world.

Snowflake is extremely efficient and fast, and has powerful technology for data sharing, he says. This allows us to store information once and share with many different clients, cutting down on the total storage we require and avoid duplicating information.

The Weather Sources service runs on Snowflake, which is hosted in AWS. Moving historical data into the cloud is time-consuming, but once there, updates to the database can be achieved relatively quickly. For instance, migrating half a petabyte of historical data into the public cloud can take several days.

But once the data is in Snowflake, operationally, it only takes seconds to update the latest weather information, according to Gibbas. The Weather Source has two ways to upload data: either via an AWS S3 bucket, which can automatically load data into Snowflake, or via the Snowflake application programming interface (API), which Gibbas says is very fast.

Snowflake is also very efficient computationally. Only a few hundred Gbytes of new data per day is processed, he adds. For comparison, the company needed to process a terabyte of data on GCP or AWS.

Such efficiency gains are essential in accurate forecasting. Each days forecast is made up of several forecasts and is projected over 15 days, leading to petabyte scale of data processing. But once the data is in Snowflake, Weather Source does not have to move the data.

The Weather Source data service is available in Snowflakes Data Exchange market. Snowflake users who require weather data are able to access different views of the weather data provided by Weather Source, without the need to download anything.

Traditionally, organisations both had to make a copy of the data locally on their own systems when they needed to share data, which Gibbas says dramatically expands the amount of data they need.

However, data sharing through the Snowflake Data Exchange market provides a single place where the data is stored. They just access one common database, Gibbas adds.

This also cuts down the speed of data transfer as there is no need to load the data into their own systems, says Gibbas. Since there is only a single copy of the weather data, as and when the forecast is refreshed, users can immediately access the new data.

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Video Hosting Software Market Investigation Highlights Growth Trends in the Coming Years: Wistia, Vimeo, BombBomb – Nyse Nasdaq Live

Global Video Hosting Software Market Latest Research Report 2020:

Los Angeles, United State- QY Research has published a latest and most trending report on Video Hosting Software Market offers detailed value chain assessment, comprehensive study on market dynamics including drivers, restraints and opportunities, recent trends, and industry performance analysis. Furthermore, it digs deep into critical aspects of key subjects such as market competition, regional growth, and market segmentation so that readers could gain a sound understanding of the global Video Hosting Software market.

Global Video Hosting Software Market is estimated to reach xxx million USD in 2020 and projected to grow at the CAGR of xx% during 2020-2026. According to the latest report added to the online repository of QY Research the Video Hosting Software market has witnessed an unprecedented growth till 2020. The extrapolated future growth is expected to continue at higher rates by 2026.

>>>Download Full PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart):https://www.qyresearch.com/sample-form/form/961546/global-video-hosting-software-market

Major Key Manufacturers of Video Hosting Software Market are: Wistia, Vimeo, BombBomb, Cincopa, Vidyard, YouTube, CloudApp, Hippo Video, VidGrid, Adobe, Bonjoro, Brightcove, vooPlayer, Consensus, Knovio, Azure Media Services,

In terms of region, this research report covers almost all the major regions across the globe such as North America, Europe, South America, the Middle East, and Africa and the Asia Pacific. Europe and North America regions are anticipated to show an upward growth in the years to come. While Video Hosting Software market in Asia Pacific regions is likely to show remarkable growth during the forecasted period. Cutting edge technology and innovations are the most important traits of the North America region and thats the reason most of the time the US dominates the global markets. Video Hosting Software Market in South, America region is also expected to grow in near future.

Major Classification are follows:

Cloud BasedWeb Based

Major Application are follows:

Large EnterprisesSMEs

Get Customized Report in your Inbox within 24 hours @ https://www.qyresearch.com/customize-request/form/961546/global-video-hosting-software-market

Strategic Points Covered in TOC:

Chapter 1: Introduction, market driving force product scope, market risk, market overview, and market opportunities of the global Video Hosting Software market

Chapter 2: Evaluating the leading manufacturers of the global Video Hosting Software market which consists of its revenue, sales, and price of the products

Chapter 3: Displaying the competitive nature among key manufacturers, with market share, revenue, and sales

Chapter 4: Presenting global Video Hosting Software market by regions, market share and with revenue and sales for the projected period

Chapter 5, 6, 7, 8 and 9: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions

Finally, the global Video Hosting Software Market is a valuable source of guidance for individuals and companies. One of the major reasons behind providing market attractiveness index is to help the target audience and clients to identify the several market opportunities in the global Video Hosting Software market. Moreover, for the better understanding of the market, QY Research has also presented a key to get information about various segments of the global Video Hosting Software market.

About Us:

QY Research established in 2007, focus on custom research, management consulting, IPO consulting, industry chain research, data base and seminar services. The company owned a large basic data base (such as National Bureau of statistics database, Customs import and export database, Industry Association Database etc), experts resources (included energy automotive chemical medical ICT consumer goods etc.

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Innovative Report on Cloud-based Database Market with Competitive Analysis, New Business Developments and Top Companies: Amazon Web Services, Google,…

The Cloud-based Database Market report enlightens its readers about its products, applications, and specifications. The research enlists key companies operating in the market and also highlights the roadmap adopted by the companies to consolidate their position in the market. By extensive usage of SWOT analysis and Porters five force analysis tools, the strengths, weaknesses, opportunities, and combination of key companies are comprehensively deduced and referenced in the report. Every single leading player in this global market is profiled with their related details such as product types, business overview, sales, manufacturing base, applications, and other specifications.

Major Market Players Covered In This Report: Amazon Web Services, Google, IBM, Microsoft, Oracle, Rackspace Hosting, Salesforce, Cassandra, Couchbase, MongoDB, SAP, Teradata, Alibaba, Tencent

Click Here To Access The Sample Report: https://www.acquiremarketresearch.com/sample-request/295691/

Cloud-based Database Market has exhibited continuous growth in the recent past and is projected to grow even more throughout the forecast. The analysis presents an exhaustive assessment of the market and comprises Future trends, Current Growth Factors, attentive opinions, facts, historical information, in addition to statistically supported and trade validated market information.

The Global Cloud-based Database Market Can Be Segmented As The key product type of Cloud-based Database market are: SQL Database, NoSQL Database

Cloud-based Database Market Outlook by Applications: Small and Medium Business, Large Enterprises

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The Cloud-based Database market comprising of well-established international vendors is giving heavy competition to new players in the market as they struggle with technological development, reliability and quality problems the analysis report examines the expansion, market size, key segments, trade share, application, and key drivers.

Cloud-based Database Market Research Methodology: This study estimates a detailed qualitative and quantitative analysis of the Cloud-based Database market. Primary sources, such as experts from related industries and suppliers of Cloud-based Database were interviewed to obtain and verify critical information and assess business prospects of the Cloud-based Database market.

Key players within the Cloud-based Database market are identified through secondary analysis, and their market shares are determined through primary and secondary analysis. The report encloses a basic summary of the trade lifecycle, definitions, classifications, applications, and trade chain structure. Each of these factors can facilitate leading players to perceive the scope of the Market, what unique characteristics it offers and the manner in which it will fulfill a customers need.

By Company Profile, Product Image and Specification, Product Application Analysis, Production Capability, Price Cost, Production Value, Contact Data are included in this research report.

What Cloud-based Database Market report offers: Cloud-based Database Market share assessments for the regional and country-level segmentsMarket share analysis of the highest trade playersCloud-based Database Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and Recommendations)Strategic recommendations on key business segments

The Report Answers Following Questions: Over successive few years, which Cloud-based Database application segment can perform well?Within which market, the businesses ought to establish a presence?Which product segments are exhibiting growth?What are the market restraints which are likely to impede the growth rate?However, market share changes their values by completely different producing brands?

To Know More About The Assumptions in This Market Report: https://www.acquiremarketresearch.com/industry-reports/cloud-based-database-market/295691/

The report entails detailed profiling of each company, and information on capacity, production, price, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategies, and the technological developments, are also included within the scope of the report. In the end, the Cloud-based Database Market Report delivers a conclusion which includes Breakdown and Data Triangulation, Consumer Needs/Customer Preference Change, Research Findings, Market Size Estimation, Data Source. These factors are expected to augment the overall business growth.

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like Asia, United States, Europe.

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Acquire Market Research is a market research-based company empowering companies with data-driven insights. We provide Market Research Reports with accurate and well-informed data, Real-Time with Real Application. A good research methodology proves to be powerful and simplified information that applied right from day-to-day lives to complex decisions helps us navigate through with vision, purpose and well-armed strategies. At Acquire Market Research, we constantly strive for innovation in the techniques and the quality of analysis that goes into our reports.

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One.com buys its second Nordics web hosting firm in months – Data Economy

A large number of technology firms have opened up shop in Manchester, as the centre of the developing Northern Powerhouse starts to give London a run for its money.

Enterprise City, thetechnology cluster in central Manchester, UK has been awarded a 2mgrant from the UK governments Department for Culture, Media andSport (DCMS) to support its Exchange programme. The money will beused to support and attract more cloud service, cybersecurity andedge technology firms to the area.

Last year, forinstance, US cloud and IT consulting services firm Slalom choseManchester as the location for its second UK office after London.Partnering with over 200 solution providers including Amazon WebServices, Google Cloud, Salesforce, Microsoft and Tableau, Slalomhelps companies tackle digital transformation.

Slalom plans to employover 200 people in Manchester by 2025. Manchester is a city ofdigital enterprise with strengths in a wide range of industries,including manufacturing, healthcare, utilities and consumer services,which perfectly complements Slaloms breadth of expertise, saidDave Williams, Slalom UK country managing director at the time.

Manchester wants moresuch firms to enter its designated Enterprise City. The new centralgovernment funding, which will be managed by Manchester City Council(MCC) on behalf of DCMS, will be used to help create and sustain over2,000 jobs in the city over the next 15 years.

Exchange, a newbusiness support programme, based within Enterprise Citys 2m sq ftcommercial district, will give ambitious, early stage techcompanies and entrepreneurs access to the tools and infrastructurethey need to grow and succeed, said Enterprise City.

Exchange will be basedon the second and third floors of Bonded Warehouse, the oldestbuilding in the Enterprise City district. It will initially supportmore than 15 businesses within its first cohort over a 6-12-monthperiod. Applications for this have now closed, and the programmesfirst wave of businesses will be announced later this month.

Entries for Exchangessecond cohort will open in August 2020, giving new organisations theopportunity to apply. New cohort call-outs for the scheme will runevery six months, as the scheme pledges to offer on-going support tothe growing tech ecosystem in Manchester and the North of England.

Tanya Grady, head ofpartnerships at Enterprise City, said: Exchange is a uniqueprogramme that adds genuine value to the city and its booming techand digital sector. We would not be able to deliver this level ofcomprehensive training and coaching without the funding from MCC andDCMS, which will create more than 2,000 jobs in the city.

She said: EnterpriseCitys vision, to create a home for startups through to global techbusinesses, has received a significant boost thanks to the funding,which will allow us to work with, and foster, a community oflike-minded entrepreneurs.

The Exchange programmewill be delivered in collaboration with its knowledge partner TechNation, the UK national network for technology entrepreneurs.

Sir Richard Leese,leader of Manchester City Council, said: The growth in Manchesterdigital and tech startups has been remarkable over the last decadeand has set the mood for the citys economic direction. As thelargest tech hub outside London, the city has become renowned as aplace where SME entrepreneurs are supported to incubate theirbusiness, grow and collaborate with major players and investors.

He added: The DCMSfunding has helped to refurbish a priceless heritage asset in theBonded Warehouse at the heart of Enterprise City, creating a stunningexample of how we should celebrate our citys heritage to helpcreate the conditions of our future growth. Our aim is to be aleading European digital city.

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alwaysAI now open to meet growing demand from computer vision developers – PR Web

SOLANA BEACH, Calif. (PRWEB) February 12, 2020

alwaysAI, a software company dedicated to making computer vision (CV) accessible to all developers with its innovative and easy-to-use platform, announced today that its beta program is open for all software developers to quickly create and deploy CV applications on the edge.

The move builds on the momentum of its recent private beta program, which attracted more than 1,600 developers since it opened in October 2019.

We see enormous interest in computer vision and how it can drive new value for enterprise applications and developers it makes AI and IoT come alive in the real world, said Marty Beard, co-founder and CEO of alwaysAI. We love evangelizing the value of this exciting new technology, and I believe we are fundamentally changing the way developers create, prototype and deploy computer vision applications at the edge.

Developers, from beginners to experts alike, are encouraged to open their free account at http://www.alwaysai.co and start creating, prototyping and deploying CV apps on ARM-based devices including cameras, drones, wearables, industrial monitoring equipment and transportation units.

Making Development Easy

In the open beta, developers get immediate access to a growing, searchable catalog of pre-trained computer vision models, a full set of CV primitives including image classification, object detection, tracking, counting, face detection and now human pose estimation and semantic segmentation, as well as an expanding array of supported edge environments.

In addition, developers get an open channel of communication with alwaysAIs rapidly growing developer community and direct access to the engineering team.

alwaysAIs accessible and user-friendly platform enables developers to create and deploy computer vision applications in three simple steps:

And with alwaysAI, inferencing happens on the edge, so there is lower latency and no required cloud hosting or inference charges a significant cost and time savings.

Growing Demand from Developers

Co-founders Marty Beard and Steve Griset started alwaysAI with the intention to democratize computer vision and help all enterprise developers leverage CV in practical and affordable ways.

We have seen communications like messaging and speech get automated and proliferated across a wide variety of end-points. But vision arguably the most powerful human attribute has simply been too difficult for technologists to implement and deploy, Beard said. With the open beta program, we are broadening access and offering new features that make it even easier and more powerful for the everyday developer.

Developers from a wide variety of backgrounds and industries agree:

New Computer Vision Features

alwaysAIs computer vision software is now available on NVIDIAs Jetson systems. The combination of alwaysAI's software and NVIDIA's Jetson hardware will provide intelligent sight to devices that run autonomous machines, smart cities, retail services and other advanced computer vision applications.

NVIDIAs Jetson Nano is a small, powerful computer that lets a developer run multiple neural networks in parallel for applications like image classification, object detection, segmentation and speech processing. The Jetson Nano is the ideal platform for creating high-performance deep learning, computer vision projects at the edge.

The alwaysAI platform also makes it easy to build, test and deploy computer vision applications for autonomous driving applications, including a pedestrian and bicyclist detector equipped with semantic segmentation. Autonomous vehicles need to determine how far away pedestrians and bicyclists are, as well as their intentions.

With semantic segmentation, detections are done pixel-by-pixel, rather than with bounding boxes. In certain scenarios like foot and bicycle traffic in bustling urban areas the autonomous vehicle needs much more detailed information about the exact location of a pedestrian or a bicyclist. alwaysAI makes that fast and easy.

In opening up the beta, alwaysAI carefully listened to its growing developer base, offering more of the powerfully optimized tools they want. The alwaysAI platform recently released an easy-to-deploy image for both Raspberry Pi 3B+ and the Raspberry Pi 4. Enterprise software developers and hobbyists alike are tapping into the alwaysAI platform to get their edge computer vision projects up and running.

alwaysAI is an awesome product ... it makes computer vision development on the edge simple, said Tomas Migone, hardware hacker in residence at balena. The tools are easy to use, and the documentation is straightforward. Developing with alwaysAI is a great experience. I'm looking forward to continuing using it for computer vision projects.

For more information about alwaysAI, or to join the companys open beta program, visit http://www.alwaysai.co.

About alwaysAI:

alwaysAI (http://www.alwaysai.co) brings deep learning computer vision to embedded and IoT devices. By providing a professional catalog of pre-trained models, innovative set of computer vision APIs, and growing array of supported edge environments, alwaysAI accelerates the time it takes to get a computer vision app up and running. Based in San Diego, alwaysAI is led by a team of technology veterans who are passionate about democratizing access to computer vision. Co-founders Marty Beard and Steve Griset have more than 40 years of combined experience in enterprise software, mobility, cloud applications and cybersecurity.

Media ContactStephanie CasolaalwaysAI Marketing Manager stephanie.casola@alwaysai.co858-692-6075

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Crypto Market Has All Signs of an Explosive Altcoin Season Brewing – newsBTC

Altcoins are not dead.

The alternative crypto markets explosive $56 billion-rise this year has left skeptics confused. Native tokens of controversial blockchain projects like Bitcoin Cash and Bitcoin SV have swelled by 130 and 280 percent, respectively. An under-developed Ethereum has notched up 95 percent.

Meanwhile, XRP, whose long-term holders accused its issuing company Ripple of crashing the token, is trading 54 percent higher. EOS, facing criticism for having excessive control over its so-called decentralized blockchain, is also up by more than 100 percent.

Crypto Market Cap (Excluding Bitcoin) | Source: TradingView.com

In total, there are more than 5,000 crypto tokens that have suddenly woken up to deliver twofold and in some cases, threefold gains.

At the same time, the original cryptocurrency bitcoin appears dwarfed. The Satoshi Nakamotos brainchild is up by just 46 percent despite its growing prominence as a safe-haven asset on Wall Street.

So it appears, altcoins are attracting capital from two markets: one denominated in bitcoin, and the other in the US dollar.

All the leading cryptos have logged extensive gains against bitcoin lately thanks to liquidity offered by hundreds of big and small crypto exchanges around the world. Apparently, that has inflated altcoins prices in dollar markets, making it even more attractive for institutional investors or venture capitalists that are willing to increase their risk appetite.

The reason is Coronavirus. The epidemic in China has taken more than 1,000 lives and has infected more than 40,000 people across the world. It has also left a dent on global equity markets, leading investors to search for havens elsewhere.

As a result, gold is maintaining gains even against a stronger US dollar, equities helped by easing policies are moving up, and bitcoin an offbeat asset in the eyes of many Wall Street veterans is also going up.

Mati Greenspan, the founder of Quantum Economics, said in an interview with BlockTV that investors are seeking to invest in riskier assets that can yield more returns in a shorter span of time. That is the same reason why Bitcoin, whose volatility lately neared to its historic low, is underperforming against rival cryptos.

The evidence of that is the altcoin season, said Mr. Greenspan. Altcoins are outperforming bitcoin consistently on a day-to-day basis pretty much since the beginning of this year [] It means investors are looking to take risks, which is pretty much different from safe-haven trading.

Noted analyst GalaxyBTC today said that a bitcoin correction next could cause a hysterical price pump across the altcoin market.

His comments followed bitcoins move towards $10,500 this Wednesday which has made the cryptocurrency most overbought since December 2017. Full-time crypto trader CryptoHamster additionally noted that there is no clean high on short-term bitcoin charts, adding that the cryptocurrency could correct.

Without a continuation of the growth, some bearish divergencies could have a chance to be formed. If it happens, a new [bitcoin] correction would start very likely, he tweeted.

That has left altcoins waiting for their next explosive move upward.

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