Monthly Archives: January 2021

FILE PHOTO: The logo for Amazon Web Services (AWS) is seen at the SIBOS banking and financial conference in Toronto, Ontario, Canada October 19, 2017. REUTERS/Chris Helgren

ATHENS (Reuters) - Amazon Incs cloud computing division opened its first office in Greece on Friday to support what it said was a growing number of companies and public sector agencies using its cloud services.

The move by Amazon Web Services (AWS) comes as Prime Minister Kyriakos Mitsotakiss conservative government has stepped up efforts to attract foreign investment and draw high tech companies to Greece.

We have seen increased customer adoption of AWS in the country and decided to open an office in Athens to better support new customers, Przemek Szuder, the head of AWS operations in central and eastern Europe said in a statement.

No financial details were disclosed.

AWS already provides cloud computing services to companies and organisations in Greece including telecoms group Wind Hellas, PAOK FC, one of Greeces top football clubs, and a number of public sector organisations, the group said.

It said services covered areas from big data analytics and mobile, web and social media applications to enterprise business applications and the internet of things.

In October, when Microsoft Corp announced plans to build a data centre hub in Greece, Mitsotakis said the country could become a world cloud computing hub.

Reporting by James Mackenzie. Editing by Mark Potter

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Amazon Web Services opens first office in Greece - Reuters

As important it is for businesses to embark on their cloud journeys today, it is equally important to plan and strategize it. Implementing cloud is one of the biggest changes that the company goes through and it could be a smooth process if strategized well.

In conversation with ETCIO, Vasanth Kamatgi, CTO, Ferns N Petals, shares the strategy behind the companys move to cloud computing.

We - FNP CET (Center of Excellence in Technology) were given the responsibility to forcefully impact the bottomline and growth of FNP. We decided to adopt four main goals towards this end - cost, resourcefulness, simplified and highly secure platform as the means of achieving that goal. One factor that precipitated this entire episode was the amount of time and energy being spent in administering the set of dedicated servers during various business peaks, Kamatgi said.

We had a strong belief (ne, myth) at that time that dedicated hosting was the best option to ensure performance. And the cost of administering the infrastructure, was a necessary evil. We went through various benchmark tests on cloud to understand how it may impact the speed of the system. Most critical parameter was - low latency during peak. Through the varied experiments that we conducted, with the help of our cloud provider, we could demonstrate ways of overcoming latency on cloud by creating a setup that is cost effective and scalable on demand utilizing capabilities of caching and CDN which was already part of our application architecture, he explained.

Kamatgi believes that the journey from proposal to realization was not an easy one. With every aspect of the companys e-commerce application setup certain to be impacted, it was both a challenge and learning experience.

The company concluded that it should go big bang in terms of setup, but release with circumspect. This approach allowed them to measure vitals and enabled them to react on failures, apply the fix - tune until convinced - with a deadline and scope in mind. While this strategy made the companys Infra (ops) team learn the dynamics, the team could create a successful internal training program to bring everyone to this new expedition.

We let people experiment on the cloud, as the cost of experimentation is significantly less (compared to non-cloud), and in certain cases sponsored by the provider. This resulted in budgets being available to ops engineers, which enabled them to learn fast and fail fast, he said.

Prima facie the cloud enabled us to replicate environments, viz., add compute, add storage, with the click of a button. This made the system breathe easy. This changed the thought process of solutioning. We kept introducing simplified solutions, experimented at speed of thought - and all this was achieved with lesser effort, he added.

One classic solution FnP applied was on the RDBMS architecture - separating Reads and Writes on the database. The company was able to isolate critical DB Writes and execute them on a fail-safe service instance. And DB Reads were distributed across replicated slave instances, which could be scaled up or down independently during load surges.

Spinning up servers on-demand, automating, fault tolerant configurations have been included as default. This allowed the team to sleep peacefully during a load surge. We could also create more cache layers by context ensuring they enhance speed and automated the processes of clearing stale data to be time critical on updates to all systems. In essence, cloud computing gave us many advantages in terms of cost savings, security, flexibility, mobility, quality control, sustainability and competitive edge, he said

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Strategy behind this retailers cloud migration journey - ETCIO.com

New York, USA, Jan. 11, 2021 (GLOBE NEWSWIRE) -- According to a report published by Research Dive, thecognitive cloud computing market is expected to cross the $108,788.7 million mark by 2027, from a significant market size of $11,530.0 million in 2019, with a healthy CAGR of 31.3%. This report elaborates about the present condition of the market and includes features like growth aspects, market dynamics, hurdles and challenges, restraints, and plausible opportunities in the forecast period. The report also highlights market figures; thus making it simple and beneficial for the novel market players to comprehend the overall market situation.

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Market Dynamics

Benefits associated with cognitive cloud computing such as synthesizing data from natural language processing, data mining, and pattern recognition is the driving factor for the market. Moreover, usage of cognitive cloud computing by various end-users and role of artificial intelligence in cognitive cloud computing is predicted to promote the market further. Apart from this, OTT sectors prefer cognitive cloud computing for delivering high quality video content is also anticipated to increase the market growth. These all factors are fueling the market growth in the forecast period.

Check out How COVID-19 impacts the Global Cognitive Cloud Computing Market. Click here to Connect with our Analyst to get more Market Insight: https://www.researchdive.com/connect-to-analyst/2800

However, high costs involved in incorporating cognitive cloud computing is hindering the market growth in the forecast period. On the other hand, various interactive platforms like Chatbots and innovative tools will create opportunities for the market.

Impact of the Covid-19 Crisis on Cognitive Cloud Computing Market

The Covid-19 pandemic has affected the market in a positive way as natural language processing (NLP) technique is gaining significance in the pharmaceutical and healthcare sectors during the pandemic. This NLP technique is supporting all scientists and healthcare professionals for carrying out their duties in the Covid-19 outbreak.

Furthermore, the NLP technique helps clinicians to monitor patient population by picking up virus symptoms at real-time basis. Beyond this, this technique is considered as useful in treating diseases, thus enhancing the demand of NLP in the healthcare sector. All these aspects are creating growth and development of the market during the Covid-19 crises.

Access Varied Market Reports Bearing Extensive Analysis of the Market Situation, Updated With The Impact of COVID-19: https://www.researchdive.com/covid-19-insights

The report divides the market into segments based on technology, enterprise size, industry vertical and regional analysis.

Natural Language Processing Technology Sub-Segment to Garner Significant Growth Rate

This sub-segment is predicted to harbor considerable growth rate of 32.2% in the estimated timeframe. The feature of NLP technology to interact with humans at real time basis and adoption of NLP by various industry verticals is predicted to drive the market in forecast period. Furthermore, additional abilities such as content extraction, text-to-speech, and content categorization will further boost the market. All these factors are fueling the market growth.

Large Enterprises Sub-Segment to be the Most Lucrative

The large enterprise sub-segment is anticipated to reach $73,711.1 million by 2027, from a healthy market size of $8,069.0 million in 2019. The major reason driving the market is utilization ofcognitive computing techniques by large enterprises for employees who are dealing with complicated descion making processes.

Healthcare Sub-Segment to Generate Maximum Growth Rate

The healthcare sub-segment is predicted to grow with a notable CAGR of 32.5% in the analyzed timeframe. The use of cognitive computing techniques for aiding healthcare practitioners in treating diseases is considered as the main factor for propelling the market growth.

Regional Analysis

North American region is anticipated to dominate the market in the estimated timeframe, mainly due to significant revenue of $3,849.9 million in the previous years. Well development economies of the U.S.A, and Canada is opening doors to many technologies. These technologies are widely accepted by businesses for modernizing their activities. These factors are driving the market in the estimated forecast period.

Check out all Information and communication technology & media Industry Reports: https://www.researchdive.com/information-and-communication-technology-and-media

Key Players and Business Strategies

Nuance Communications, Inc. SparkCognition Numenta Cisco Microsoft SAP CognitiveScale Hewlett Packard Enterprise Development LP EXPERT.AI IBM

These prominent businesses are opting for several strategies that include partnerships and collaborations, acquisitions, and expansion of businesses to achieve a competitive edge in the cognitive cloud computing industry worldwide.

The report consists of various facets of all the vital players that are operative in the market such as financial performance, product portfolio, present strategic moves, major developments and SWOT. Click Here to Get Absolute Top Companies Development Strategies Summary Report.

TRENDING REPORTS WITH COVID-19 IMPACT ANALYSIS

Post Production Market:https://www.researchdive.com/covid-19-insights/195/post-production-marketGaming Simulator Market:https://www.researchdive.com/covid-19-insights/210/global-gaming-simulator-marketEnterprise Data Management Market:https://www.researchdive.com/167/enterprise-data-management-market

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Global Cognitive Cloud Computing Market to Garner Revenue of $108,788.7 Million in 2019 to 2027 - [240 pages] Exclusive Report by Research Dive -...

Healthcare Cloud Computing Market research report is the new statistical data source added by A2Z Market Research.

Healthcare Cloud Computing Market is growing at a High CAGR during the forecast period 2021-2027. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market.

Healthcare Cloud Computing Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis.

Get the PDF Sample Copy (Including FULL TOC, Graphs and Tables) of this report @:

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Note In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.

Top Key Players Profiled in this report are:

CareCloud Corporation, ClearData Networks, Athenahealth, Cerner Corporation, Epic Systems Corporation, NextGen Healthcare, Carestream Corporation, Dell, DICOM Grid, INFINITT Healthcare, Sectra AB, Merge Healthcare, Siemens Healthineers, iTelagen, NTT DATA Corporation, Nuance Communications, Ambra Health.

The key questions answered in this report:

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Healthcare Cloud Computing market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the Healthcare Cloud Computing markets trajectory between forecast periods.

Regions Covered in the Global Healthcare Cloud Computing Market Report 2021: The Middle East and Africa (GCC Countries and Egypt) North America (the United States, Mexico, and Canada) South America (Brazil etc.) Europe (Turkey, Germany, Russia UK, Italy, France, etc.) Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

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The cost analysis of the Global Healthcare Cloud Computing Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

The report provides insights on the following pointers:

Market Penetration: Comprehensive information on the product portfolios of the top players in the Healthcare Cloud Computing market.

Product Development/Innovation: Detailed insights on the upcoming technologies, R&D activities, and product launches in the market.

Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the market.

Market Development: Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies.

Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the Healthcare Cloud Computing market.

Table of Contents

Global Healthcare Cloud Computing Market Research Report 2021 2027

Chapter 1 Healthcare Cloud Computing Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Healthcare Cloud Computing Market Forecast

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Impact of COVID-19 on Healthcare Cloud Computing Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027 | CareCloud Corporation,...

In recent years, the application of artificial intelligence in different organizations around the world has changed. As company-wide initiatives continue to dominate, cloud computing has become a critical part of AI growth. As clients spend more time on their computers, organizations are increasingly aware of the need to add critical computing to the user in order to support more clients. This is why the market for Edge Computing in the years ahead will continue to rise.

Instead of needing data to move from the source to a data center or cloud and back, Edge computing allows applications to run close to where data is produced, generating congestion that can not be endured by mission-critical operations. In addition, edge computing will open doors to innovation, improved security and enforcement, and automation when combined with artificial intelligence (AI).

According to Rapyder, The speed at which data generates will never slow down. In fact, its only going to see an upward trend by the day. As a result, businesses will be heavily relying on technologies like edge computing, in the future. An IDC research predicts that in 3 years, 45% of IoT-created data will be stored, processed, analyzed, and acted upon close to, or at the edge of the network. The research also points out that 6 billion devices will be connected to edge computing solutions.

By bringing in decentralization to cloud networks, edge computing has added to the many advantages that businesses can reap from data.

For example, disruptions can be limited to only one point in the entire network. Consider that there is a cyberattack that leads to a power outage. With edge computing, you can curb its impact on only the local applications rather than letting it spread through the entire network. Thats just a one-use case. Every industry can benefit tremendously from edge computing.

It provides improved reliability for high speed, reduced latency, allowing faster processing of data and delivery of content.

It provides better protection through the delivery of transmission, storage, and applications via a number of devices and data centers, making it impossible to recover the network from any disturbance.

It provides a much less expensive path to flexibility and scalability, enabling businesses to extend their computing power through a mix of IoT devices and edge data centers.

According to DevPro Journal, Sastry Malladi, CTO of FogHorn and Senthil Kumar, FogHorns Global Head and VP of Software Engineering, expect edge AI to make a significant impact on businesses and industries in 2021, for example:

The future of edge computing is actively committed. Through the use of data, Edge can converge through artificial intelligence and machine learning in order to integrate insight into behavior that benefit companies and their consumers. Ultimately, it will be treated much like any other location where applications can be placed smoothly without compromises and with accuracy.

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How Edge Computing will revamp businesses in 2021? - Analytics Insight