Global Artificial Intelligence in Agriculture Market Demands To Open New Avenues Midst 2020 …
Global Artificial Intelligence in Agriculture Market Demands To Open New Avenues Midst 2020 …
Global Artificial Intelligence in Agriculture Market Report by Orbis Research presents a well-researched and verified information profile that upholds information on various factors and facets in the global Artificial Intelligence in Agriculture market. The report takes a detailed tour of the regional and local profile demonstrating key elements governing noteworthy alterations in the various regions that collectively ensure a seamless growth sequence in the Artificial Intelligence in Agriculture market.
The Report presents a detailed and comprehensive matrix of regional and country-wise break down, replicating a country-wise overview of voluminous production details, consumption details and patterns, besides proceeding further with minute details on revenue generation and growth pattern through the forecast period, 2020-2025.
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The idea behind this extensive research initiative is to allow market players gather some real time cues on ongoing market developments to critically encourage some growth intensive developments in terms of product expansion, geographical expanse as well as steady efforts that are being taken regularly to make accurate market predictions to optimize desired growth route in the global Artificial Intelligence in Agriculture market despite challenging odds.
This Report covers Leading Companies associated in Artificial Intelligence in Agriculture Market:
IBM
aWhere
John Deere
Agribotix
The Climate Corporation
Microsoft
Sky Squirrel Technologies
ec2ce
Mavrx
Descartes Labs
Spensa Technologies
FarmBot
Resson
Gamaya
Prospera
Granular
Vision Robotics
Cainthus
Precision Hawk
Connecterra
Autonomous Tractor Corporation
Trace Genomics
Harvest Croo
Vine Rangers
The report also proceeds further with elaborate explanation and information deliverables on key components such as producers, suppliers as well as diverse product type and product diversification that collectively ensure relentless growth and sustainable stance even amidst staggering competition in the Artificial Intelligence in Agriculture market, inclusive of details on product features and their wide range of applications. This elaborate research report presented by Orbis Research on the global Artificial Intelligence in Agriculture market also presents a deep-dive analysis of the product overview, sectioning details on decisive growth opportunities, development trends as well as growth deterrents, restricting growth at the world forum.
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Global Artificial Intelligence in Agriculture Market Report Segmentation by Product Type
Machine Learning
Computer Vision
Global Artificial Intelligence in Agriculture Market Report Segmentation by Application
Precision Farming
Drone Analytics
Agriculture Robots
Proceeding further, the report also shares details on country wise information encapsulating details about developed as well as emerging countries. The report draws specific references of countries such as the USA, Canada and Mexico, Italy, Spain, UK and Rest of EU. Among developing countries, this report by Orbis Research on Artificial Intelligence in Agriculture market also illustrates details on country-specific developments such as India, South Korea, Japan, China, rest of APAC.
Global Artificial Intelligence in Agriculture Market: Regional Analysis Includes:
Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia and Australia)
Europe (Turkey, Germany, Russia UK, Italy, France)
North America (The United States, Mexico and Canada)
South America (Brazil etc)
The Middle East and Africa (GCC Countries and Egypt)
The report specifically focuses on market drivers, challenges, threats, and the like that closely manifest market revenue cycle to encourage optimum profit generation in the Artificial Intelligence in Agriculture market.
Details on product portfolios, user application as well as ongoing technical developments concerning the product line have also been touched upon, to derive accurate understanding about the market prognosis and their subsequent implications upon the Artificial Intelligence in Agriculture market.
About Manufacturers and Growing Competition
• The report shares crucial details on specific areas comprising a close analytical review of competition spectrum.
• Each of the frontline players is thoroughly identified and profiled in the report, followed by a systematic profiling of their product portfolio as well as company status and portfolio against neck deep competition in the Artificial Intelligence in Agriculture market.
• Further, the report also considers various growth nurturing practices and tactical business decisions undertaken by the profiled frontline players to secure seamless stance in the Artificial Intelligence in Agriculture market despite sharp competition.
• The report is a complete representation of all the major initiatives initiated by various market players across diverse geographical hubs and their consequent implications upon consumer preferences and behavior.
• The report also enumerates various short- and long-term goals of the key players.
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Customization of the Report:
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Published at Mon, 07 Sep 2020 06:22:30 +0000
7 Data Science Courses Offered By Large Tech Firms
The uprise of the COVID pandemic has questioned the demand of data scientists for businesses. While companies are fiercely looking out to recruit data scientists for their organisations, they are extremely critical with the candidates and thus only looking to hire professionals with advanced skill sets. However, it is hard to find graduates with such specific skill sets, and therefore struggling to land on the job amid this crisis.
Although there are many online courses that can aid recent graduates with relevant knowledge for the industry, it’s only the certificates that actually authenticates that knowledge. These certifications not only provide prominent validation but also offer a competitive edge among the crowd. Consequently, potential employers and recruiters are constantly looking out for candidates with industry-relevant certification.
With the currently mandated lockdown in place, many big tech companies have started collaborating with ed-tech platforms to offer these industry-relevant certifications. These certifications will help learners master practical skills that would make them industry ready amid this crisis. Here, we will look at a few of them:
Also Read: How Data Scientists Can Benefit From Certifications While Looking For Jobs
Data Science with R Certification Course
Collaboration with: IBM
About: The program, Data Science with R Certification Course is offered by Simplilearn, which will enable learners to be an expert in data analytics using the R programming language. Covering subjects like data exploration, data visualisation, predictive analytics, and descriptive analytics techniques with the R language, this certification course will enable learners to take up data science skills into a variety of companies. Starting with learning about R packages and how to import and export data in R, the certification course will also teach data structures in R, various statistical concepts, cluster analysis, and forecasting. The course provides ten real-life industry projects and a dedicated mentoring session from industry experts, with IBM certification.
Cost: ₹19,999 for self-paced learning; ₹21,999 for blended learning.
Check out the course here.
Data Scientist – Advanced Analytics
Collaboration with: Dell Technologies
About: Data Scientist – Advanced Analytics is a certification course provided by Dell Technologies, which provides a learning path with practical foundation level training that allows learners to have significant participation in big data and analytics projects. This certification course is a two-step process, where learners can choose from either virtual classes or on-demand classes and then pass the certification exam for gaining a Data Scientist Associate v2 (DCA-DS) Certification from Dell. Starting from introduction to big data and data analytics lifecycle to addressing business challenges, this certification course teaches advanced analytic methods and tools like MapReduce and Hadoop.
Cost: $1500 (approximately ₹11,0233)
Check out the course here.
Azure Data Scientist Associate
Collaboration with: Microsoft
About: Azure Data Scientist Associate is a certification program by Microsoft where the learners learn to implement their knowledge of data science and machine learning to run machine learning workloads on Azure, in particular, using Azure Machine Learning Service. Starting with operating ML solutions at cloud scale using Azure Machine Learning, this course will teach how to leverage the knowledge of Python and machine learning to address data ingestion, data preparation, model training and deployment, and monitoring ML solution monitoring in Microsoft Azure.
Cost: Free for Online; $165 for Instructor-Led (approximately ₹12,121)
Check out the course here.
Advanced Analytics Professional
Collaboration with: SAS
About: Advanced Analytics Profesional is a certification program offered by SAS Academy, which will cover the skills that are relevant to the business for the current era. Starting from skills required to assemble analysis flow diagrams using SAS Enterprise Miner for both pattern discovery to segmentation, association, and sequence analysis, this course will provide an in-depth understanding of advanced analytics. This program will teach ways to define a SAS Enterprise Miner project and will guide data exploration for better analysis results. Alongside, it will help in building and understanding predictive models, including decision trees and regression models.
Cost: $1,295/year (approximately ₹95,132)
Check out the course here.
Also Read: Top Premier Global Professional Certifications & Designations In Data Science
Big Data and Machine Learning Fundamentals
Collaboration with: Google Cloud
About: ‘Big Data and Machine Learning Fundamentals’ is a certification program by Google Cloud, which introduces learners to the machine learning capabilities of Google Cloud Platform. Starting with providing a quick overview of Google Cloud Platform and its data processing capabilities, it also follows up with machine learning products in the Google Cloud Platform. Further, it will teach how to use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform. Completing this certification program will count towards learners learning both data engineering as well as data engineering with machine learning.
Cost: Free Trial for seven days; and ₹3,689 per month post-trial period
Check out the course here.
Machine Learning With AWS
Collaboration with: AWS
About: Machine Learning With AWS is a certification offered by Amazon Web Services, which will allow the learners to deep dive into the ML curriculum used to train Amazon’s data scientists. The accreditation provides 65+ machine learning training courses with over 50 hours of hands-on labs and classes. This certification will enable learners to understand how to apply machine learning, artificial intelligence, and deep learning to solve business problems unlocking new insights and value with an AWS Certification.
Cost: $300 (approximately ₹22,017)
Check out the certification here.
Data Science with Machine learning & AI Pro+ Certification Course
Collaboration with: Honeywell
About: The Data Science with Machine learning and AI Pro+ is a six months certification program offered by Honeywell in collaboration with Ivy Pro School, which has been aimed at creating industry-relevant expertise among data scientists. Starting with advanced excel along with SQL queries and relationship data management, this course also includes data visualisation using Tableau, business statistics, predictive modelling with R and machine learning. With this certification course, learners can get an industry-endorsed certificate, join the data science industry, and can work on real-life cases and projects.
Cost: ₹77,000 for Classroom; ₹64,000 for Online Mode)
Check out the course here.
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Published at Mon, 07 Sep 2020 04:30:00 +0000
