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This Distributed computing report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.
The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Distributed computing’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.
The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.
The platform monitors over six thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.
Predictive Analytics Scores:
004800 – CAP theorem
001000 – Citizen Science Grid
000503 – OpenACC
000452 – Fog computing
000293 – Distributed cache
000260 – Machine learning
000165 – TeraFLOPS
000122 – MoneyBee
000107 – Artificial Intelligence System
000106 – Virtual reality
000102 – OpenCL
000099 – Code mobility
000097 – Universe@Home
000093 – Blockchain (database)
000091 – Parallel LINQ
000053 – Cilk
000051 – Data analysis
000036 – OpenMP
000029 – Framework Program
000023 – Microfluidics
000022 – Artificial intelligence
000021 – Protein aggregation
000017 – Factorization
000016 – Protein function
000015 – Cloud computing
000014 – Cache coherence
000012 – DIMES
000011 – Quantum computing
000008 – SISD
000005 – Discrete mathematics
000004 – RNA structure
000003 – SIMAP
Evaluation Criteria Definitions:
Interest and Popularity:
Leaders:
100 – TeraFLOPS
100 – MoneyBee
100 – Machine learning
Google Trends data for gauging mindshare and awareness, the numbers are relative to their maximum (100), meaning number 100 has maximum interest right now and number 50 has half the interest it had from its peak of 100.
Employment Demand:
Leaders:
042485 – Data analysis
009477 – Cloud computing
009049 – Machine learning
Open employment opportunities on the date of this report for the subject. Indicator of the need of employers for this specific skill set and therefore their organization’s application of it in relation to the other subjects.
Active Practitioners:
Leaders:
04305535 – Data analysis
02119670 – Cloud computing
00347563 – Machine learning
Number of practitioners and professionals which have the subject skill set and experience. Indicator of the need of employers (and availability of employees) for this specific skill set and therefore their organization’s application of it in relation to the other subjects.
Monthly Searches:
Leaders:
246000 – Cloud computing
110000 – Artificial intelligence
049500 – Virtual reality
How often a month a search is performed for the keyword/phrase: and indicator of interest in the subject.
Cost per Click:
Leaders:
029.34 – Cloud computing
007.55 – Artificial Intelligence System
004.80 – Data analysis
CPC: The average amount advertisers pay Google anytime someone clicks their own ad for this keyword. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.
Active Advertisers:
Leaders:
062 – Cloud computing
051 – Data analysis
026 – Machine learning
This shows how many unique advertisers have appeared on this subject in the last 12 months. Indicator of the advertising being spent on the topic ergo investments being made to attract clients.
Patents:
Leaders:
00319000 – Data analysis
00082200 – Cloud computing
00078600 – Artificial intelligence
Patents issued for the specific subject. Indicator of R&D investments and innovation in the specific subject.
Books in print:
Leaders:
00051101 – Artificial intelligence
00045310 – Data analysis
00017906 – Virtual reality
Number of in-print books that cover the subject. Indicator of the need for knowledge sharing and its availability.
Instruction and courseware available content:
Leaders:
05740000 – Virtual reality
02440000 – Data analysis
01630000 – Artificial intelligence
Number of instruction and courseware available content that covers the subject. Indicator of the need for knowledge sharing and its availability.
Complete Overview:
Interest and Popularity
100 – TeraFLOPS
100 – MoneyBee
100 – Machine learning
100 – Blockchain (database)
096 – CAP theorem
091 – Virtual reality
077 – OpenACC
077 – Code mobility
071 – Fog computing
065 – Distributed cache
052 – SISD
052 – Data analysis
051 – Framework Program
050 – Citizen Science Grid
048 – Parallel LINQ
043 – Cilk
040 – Protein function
039 – OpenCL
037 – Universe@Home
037 – OpenMP
035 – Microfluidics
035 – DIMES
034 – Discrete mathematics
033 – RNA structure
033 – Cloud computing
033 – Artificial intelligence
032 – Cache coherence
031 – Protein aggregation
030 – SIMAP
030 – Factorization
030 – Artificial Intelligence System
029 – Quantum computing
Employment Demand:
042485 – Data analysis
009477 – Cloud computing
009049 – Machine learning
001569 – Artificial intelligence
000849 – Virtual reality
000298 – OpenCL
000238 – DIMES
000172 – OpenMP
000142 – Microfluidics
000085 – CAP theorem
000080 – Distributed cache
000041 – OpenACC
000037 – Artificial Intelligence System
000035 – Fog computing
000034 – Framework Program
000034 – Discrete mathematics
000024 – Quantum computing
000021 – Factorization
000016 – Protein aggregation
000013 – Protein function
000006 – Cilk
000006 – Cache coherence
000003 – TeraFLOPS
000002 – SISD
000001 – RNA structure
000000 – Universe@Home
000000 – SIMAP
000000 – Parallel LINQ
000000 – MoneyBee
000000 – Code mobility
000000 – Citizen Science Grid
000000 – Blockchain (database)
Active Practitioners:
04305535 – Data analysis
02119670 – Cloud computing
00347563 – Machine learning
00239810 – Artificial intelligence
00072782 – Virtual reality
00071471 – DIMES
00024041 – Discrete mathematics
00022022 – Microfluidics
00017580 – OpenMP
00011341 – OpenCL
00006568 – Quantum computing
00006008 – Framework Program
00003804 – Factorization
00003180 – Protein function
00002324 – Protein aggregation
00001776 – Distributed cache
00001379 – Cache coherence
00001252 – SISD
00001034 – Artificial Intelligence System
00000891 – RNA structure
00000873 – SIMAP
00000628 – OpenACC
00000550 – Fog computing
00000490 – Cilk
00000182 – TeraFLOPS
00000170 – CAP theorem
00000107 – Blockchain (database)
00000082 – MoneyBee
00000078 – Code mobility
00000053 – Parallel LINQ
00000038 – Universe@Home
00000005 – Citizen Science Grid
Monthly Searches:
246000 – Cloud computing
110000 – Artificial intelligence
049500 – Virtual reality
049500 – Machine learning
040500 – Quantum computing
040500 – OpenCL
033100 – Data analysis
027100 – SIMAP
022200 – SISD
018100 – OpenMP
018100 – Discrete mathematics
014800 – Factorization
014800 – DIMES
006600 – Microfluidics
004410 – TeraFLOPS
004410 – Protein function
003600 – RNA structure
001890 – Cilk
001290 – Distributed cache
000990 – Protein aggregation
000210 – MoneyBee
000210 – Artificial Intelligence System
000000 – Universe@Home
000000 – Parallel LINQ
000000 – OpenACC
000000 – Framework Program
000000 – Fog computing
000000 – Code mobility
000000 – Citizen Science Grid
000000 – CAP theorem
000000 – Cache coherence
000000 – Blockchain (database)
Cost per Click:
029.34 – Cloud computing
007.55 – Artificial Intelligence System
004.80 – Data analysis
003.03 – SISD
002.97 – Microfluidics
002.83 – Machine learning
002.80 – Protein function
002.68 – TeraFLOPS
002.53 – Factorization
001.94 – Distributed cache
001.81 – OpenMP
001.73 – Cilk
001.68 – RNA structure
001.66 – MoneyBee
001.43 – SIMAP
001.26 – Quantum computing
001.11 – Virtual reality
001.06 – Artificial intelligence
000.73 – OpenCL
000.57 – Protein aggregation
000.08 – Discrete mathematics
000.04 – DIMES
000.00 – Universe@Home
000.00 – Parallel LINQ
000.00 – OpenACC
000.00 – Framework Program
000.00 – Fog computing
000.00 – Code mobility
000.00 – Citizen Science Grid
000.00 – CAP theorem
000.00 – Cache coherence
000.00 – Blockchain (database)
Active Advertisers
062 – Cloud computing
051 – Data analysis
026 – Machine learning
016 – Virtual reality
012 – Microfluidics
009 – Protein aggregation
008 – Artificial intelligence
006 – Artificial Intelligence System
003 – Discrete mathematics
001 – RNA structure
001 – OpenCL
001 – MoneyBee
001 – Distributed cache
000 – Universe@Home
000 – TeraFLOPS
000 – SISD
000 – SIMAP
000 – Quantum computing
000 – Protein function
000 – Parallel LINQ
000 – OpenMP
000 – OpenACC
000 – Framework Program
000 – Fog computing
000 – Factorization
000 – DIMES
000 – Code mobility
000 – Citizen Science Grid
000 – Cilk
000 – CAP theorem
000 – Cache coherence
000 – Blockchain (database)
Patents:
00319000 – Data analysis
00082200 – Cloud computing
00078600 – Artificial intelligence
00067400 – Virtual reality
00064200 – Machine learning
00040000 – Microfluidics
00039900 – Protein function
00015600 – Factorization
00014800 – Protein aggregation
00009920 – RNA structure
00008810 – Cache coherence
00005410 – Distributed cache
00004660 – Quantum computing
00004330 – DIMES
00002950 – Artificial Intelligence System
00002030 – Framework Program
00001580 – OpenCL
00001440 – OpenMP
00001320 – Discrete mathematics
00001070 – SISD
00000366 – TeraFLOPS
00000327 – Code mobility
00000150 – Cilk
00000134 – MoneyBee
00000079 – CAP theorem
00000059 – SIMAP
00000046 – Fog computing
00000043 – OpenACC
00000042 – Parallel LINQ
00000004 – Universe@Home
00000000 – Citizen Science Grid
00000000 – Blockchain (database)
Books in print:
00051101 – Artificial intelligence
00045310 – Data analysis
00017906 – Virtual reality
00015145 – Machine learning
00010789 – Cloud computing
00007948 – Discrete mathematics
00006411 – DIMES
00002706 – Factorization
00001618 – Quantum computing
00001292 – Microfluidics
00000869 – Protein function
00000700 – Artificial Intelligence System
00000423 – OpenMP
00000348 – Cache coherence
00000347 – RNA structure
00000317 – Framework Program
00000251 – Distributed cache
00000202 – Protein aggregation
00000201 – OpenCL
00000195 – CAP theorem
00000070 – Universe@Home
00000070 – Code mobility
00000058 – Parallel LINQ
00000048 – Cilk
00000033 – TeraFLOPS
00000029 – SIMAP
00000028 – OpenACC
00000023 – Fog computing
00000019 – SISD
00000008 – Blockchain (database)
00000003 – MoneyBee
00000000 – Citizen Science Grid
Instruction and courseware available content:
05740000 – Virtual reality
02440000 – Data analysis
01630000 – Artificial intelligence
01320000 – Machine learning
00477000 – DIMES
00337000 – Cloud computing
00173000 – Factorization
00063300 – Quantum computing
00040900 – OpenCL
00018300 – Discrete mathematics
00014000 – Microfluidics
00006180 – SISD
00005660 – OpenMP
00003570 – TeraFLOPS
00002780 – Cilk
00002580 – RNA structure
00001710 – Artificial Intelligence System
00001660 – Protein function
00001600 – Distributed cache
00001180 – SIMAP
00001070 – Fog computing
00001060 – OpenACC
00000982 – Universe@Home
00000970 – Cache coherence
00000704 – MoneyBee
00000633 – CAP theorem
00000461 – Framework Program
00000359 – Protein aggregation
00000053 – Blockchain (database)
00000032 – Parallel LINQ
00000022 – Code mobility
00000000 – Citizen Science Grid
Start with CAP theorem, Citizen Science Grid, OpenACC, and make the above top Predictive Analytics results happen:
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