Artificial
Intelligence as a service (AIaaS) is a business model at
the forefront of computing technology which will dominate in Year 2020 and
Software as a Service (SaaS) companies need to upgrade to AIaaS else they will
be overshadowed. Here is some important
information about AIaaS which I gathered.
First we
need to understand is
What is Artificial Intelligence as a
Service (AIaaS)?
AIaaS is
short for AI-as-a-Service upgraded version of SaaS powered by Artificial
Intelligence. When Artificial Intelligence
as a Service is offered that can be bought and implemented or integrated
immediately is termed as AIaaS. In other words, it can be termed as ‘third
party AI service offerings’ as well. Like all other _ -as-a-Service packages,
AIaaS also makes use of cloud computing.
AI should be
viewed as an end-to-end technology – which uses various techniques and modules
to analyse data better, identify patterns and trends, and calculate the
probabilities of different end results (say, for predictive purposes). The two algorithms
– the deep learning (DL) algorithms and the machine learning (ML) algorithms –
are used in full-fledged AIaaS services.
AIaaS
solutions are dynamic and highly adaptable; they also help in optimising the
effectiveness of big data analytics. With ‘readymade’ AI services, it becomes easy
for companies to derive all the key advantages of artificial intelligence. When
the concept of “everything as a service” refers to any software that can be
called upon across a network because it uses cloud computing and can add
significant strategic flexibility to the operations of organisations, pulling
up efficiency and productivity levels.
How AIaaS different from SaaS?
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SaaS: Software as a Service
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AIaas: Artificial Intelligence as a
Service
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Software as a Service, also known as
cloud application services, represents the most commonly utilized option for
businesses in the cloud market. SaaS utilizes the internet to deliver
applications, which are managed by a third-party vendor, to its users. A
majority of SaaS applications run directly through your web browser, which
means they do not require any downloads or installations on the client side.
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Artificial Intelligence as a Service
is extended version of SaaS just powered by Artificial Intelligence.
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Examples of SaaS
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Examples of AIaaS
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Some popular examples of SaaS,
including: Google GSuite (Apps), Dropbox, Salesforce, Cisco WebEx, SAP
Concur, and GoToMeeting.
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Top companies which are offering AIaaS
are IBM, Google, Amazon Web Services, Microsoft, Salesforce, FICO, SAS
Institute, Intel, SAP, IRIS AI, Bigml, H2o.AI, Absolutdaten, Fuzzy.AI, Vital
AI, Rainbird Technologies, Craft.AI, Sift Science, Mighty.AI, Cognitive
Scale, Centurysoft, Yottamine Analytics, Datarobot, Meya.AI
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Why SaaS companies should migrate to
AIaaS?
A latest
trend which is running is Artificial Intelligence powered. And Software as
Service is powered by AI makes that service more powerful, latest and trending
in the market.
If you are a
Product or Service based software companies you need to migrate your product
and service to Artificial intelligence as it is a versatile tool that can have more than one
impact within a given organization.
Also Artificial
intelligence is unlocking the next frontier for tech-savvy corporations willing
to invest in the future technology.
Why 2020 will be year of AIaaS
companies?
The AIaaS
market will continue to grow stronger in the foreseeable future. More than 60%
experts feel that artificial intelligence is the most important element in their
overall digital strategies and AIaaS makes the technology easily accessible –
with users being able to enjoy the benefits at a much lower cost.
AIaaS Services
by Amazon’s “Amazon Web Services” and Google’s “Cloud Platform” are offering
predictive analytics, speech recognition, machine learning applications, and
much more.
As the
technology of AI improves in 2020, with a significant lean business
towards machine learning and predictive functionalities, AI-as-a-Service will
only grow in prominence.
