Artificial Intelligence is the most demanding and emerging technologies
nowadays. The demand for AI is continuously increasing in every enterprise. AI
is like a blessing for us because of its specific features. Every day we able
to see new technologies and this thing happen only because of AI. That is the
main reason that every industry is adopting AI technologies to enhance the
customer experience and bring new and advance technology to customers. Today
all industries are moving toward new innovation bring revolution in every state
of emerging technology. As per the report, the market value of AI in 2020 is
USD 62.4 Billion and expected to grow to USD 733.7 Billion, revenue may
forecast by 2027. From July to August 2020, the Indian Artificial Intelligence
market is estimated at $6.4 Billion. As reported, this covers revenue from all
AI operations originating from India, irrespective of the type of stakeholder
or customer, type of company offering AI services. Industries have the largest
market size in the IT services sector, led by technology with a market share of
41.1% and 23.3%, respectively. With an average salary of INR 14.7 Lakhs, there
are approximately 91,000 Artificial Intelligence workers employed across
companies in India. So by these data, you can see the rising demand for AI in
India. Developers are working in different AI software.
So here we discuss top Artificial Intelligence software 2021:
TensorFlow
For the last decade or so, TensorFlow has been a popular AI platform and
will still remain popular even in 2021. It's easy to see the appeal as one of
the finest open source libraries around for machine learning and other aspects
of artificial intelligence. However, TensorFlow is more than an AI platform.
The term TensorFlow, introduced by Google, has basically become synonymous with
machine learning. Significantly, TensorFlow is free and open-source, and this
open model has made it possible for it to spread to a wide community of
developers, enterprises, and science and academia. This same open architecture
allows GPUs (graphical processing units, the "super-charged" hardware
that powers AI) or CPUs to be used flexibly for computing (central processing
unit, the not-quite-so fast hardware). Tensorflow is undoubtedly the top AI
platform in the world for the creation and implementation of machine learning
models.
H2O.ai
H2O is another AI platform dedicated to making companies aware by giving
them access to these resources of the various advantages of Artificial
Intelligence and Machine Learning. H2O drives major industries in the industry
with its open-source software, such as healthcare, banking, telecommunications,
retail, marketing, pharma, and many others. H2O Q, which allows businesses to
make their own AI applications, is probably the most interesting. In order to
enable a kind of data storytelling based on artificial intelligence, these AI
apps feature a variety of dashboards, modified with real-time data that can be
sourced from several connectors.
Infosys Nia
Infosys Nia is an Artificial Intelligence platform that collects and
aggregates organizational data from individuals, processes, and legacy
structures into a knowledge base for self-learning and then automates repetitive
business and IT processes, freeing up the human effort to solve higher-value
customer problems that involve innovation, enthusiasm, and imagination. Infosys
Nia has been used by our customers to harness their organizational expertise,
create deep insights, and discover possibilities for optimizing, simplifying,
and automating complex business processes.
Google AI Platform
The Google AI Platform is simply deserving of being at the top of the
list. In one way or another, most other platforms below refer to it. For its
ease of use, its unique models, its amazing cloud technology, its architecture,
its beautiful visual interfaces, its library, and more, it is loved by millions
of users. An array of tools, including TensorFlow and TPU, or Tensor processing
units, which is an AI accelerator built by Google, are provided by the
open-source Google AI toolset. This, along with Kubeflow and other main AI and
ML tools, allows businesses to create their own on-premise or Google Cloud AI
implementations without significant code tweaks for either environment. In
essence, to create your own AI, you use the software-hardware ecosystem of
Google AI, which is continuously modified.
Azure Machine Learning
Azure ML provides its comprehensive ML platform without upfront costs,
and on a "pay only for what you use," basis, actively pushing to gain
market share in an increasingly crowded field of machine learning vendors.
MLOps, which can be thought of as DevOps for ML, is part of the Azure toolset;
the ML workflow is greatly improved. Azure also has a complete collection of
features to protect and monitor your data, with a view to avoiding prejudices
that distort the results of the ML model. The Azure ML solutions are, of
course, entirely interoperable with the Azure cloud, which is a significant
benefit of this AI toolset.
Wipro Holmes
Wipro Holmes is the AI and automation platform of Wipro that bridge
between the builders of Fundamental AI algorithms and AI applied. In order to
monetize heterogeneous AI solutions, the Wipro Holmes Platform manages all the
specifications, calculations, and governance. The Holmes offering can create,
track, and even handle revenue chores for an AI application that exists in a
mixed case environment. Aiding this method are pre-built AI properties. The
ultimate objective is to set up a hyper-scale business by using AI to drive
processes that are so powerful that they can expand with great speed and
agility.
IBM Watson
The IBM Machine Learning Studio makes it easy, through automation and
collaboration, to develop, train, and deploy model processes. Therefore, IBM's
AI platforms are worth a look in 2021, as they vow to get even better. With a
full library of solutions and approaches under one name, the IBM Watson AI
solution is comprehensive, all intended to either provide an AI-fueled service
or to integrate AI into your systems and applications. This can be as small as
the functionality of the chatbot that provides directed reaction for
consumer-facing applications, or as all-encompassing AI-based systems to
coordinate and analyze vast data repositories in more cost-conscious and
effective ways. An AI-powered system that enhances and streamlines IT
operations is also included.
Rank Bird
In 2021, Rain Bird, the award-winning program designed to make business
operations smarter and more efficient, is one artificial intelligence platform
to look out for. Rain Bird is the AI platform of choice for companies looking
to automate the knowledge-work process for productivity. It works by allowing
smart systems to be developed that are generated from a mixture of business
data and existing business knowledge. For its RBLang language, unique
analytics, its managed learning algorithms, and use visual user interface,
users love it.
Ayasdi
The software framework and application collection of Ayasdi enable
businesses to build their own data-driven models for a wide range of use cases,
from research to defense, industrial applications to fintech applications. In
order to uncover solutions and grasp trend lines, the company's market
solution, AyasadiAI, uses geometric and mathematical algorithms, ML, and data
analytics. The company's approach basically provides an AI-powered platform to
extract more data value. It is possible to deploy the Ayasdi AI software
solution on-premise or in the cloud.
SparkNLP
Spark NLP is only three years old, but it is already one of the most
popular sites for open-source AI to consider. The focus is on the processing of
natural language and it comes with one of the largest libraries for data
scientists and different NLP examples to refer to. It is based on Apache Spark
and TensorFlow, so it's also impressive in its architecture.
Also Read: Top Artificial Intelligence technologies your enterprise need Today
So these are the top 10 Artificial Intelligence software in 2021. Apart from this if you want to start your career in Artificial Intelligence and want to do a course then join “Nearlearn”. Nearlearn is the Foremost Artificial Intelligence Training Institute in Bangalore and also the Best Machine Learning Training Institute. They provide highly skilled trainers having 10+ years of industry experience in these filed. They provide both online training and classroom training facilities. After completion, of course, they help you to get placement in various companies and also provide internship facilities to their students.
For more information contact us:
Visit: www.nearlearn.com
Execelent content and thanks for sharing!!
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