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Artificial Intelligence (AI) and Project Management are being discussed together for a while now.

Rather seriously! There is anxiety and excitement in almost equal measures among professionals across the globe.

What makes Project Management so relevant for Artificial Intelligence (AI)?

The answer is straight forward and lies in the very definition of AI and Machine Learning (ML). Let us take a look.

Artificial Intelligence or AI sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving”.

In simpler terms, AI enables machines to learn, think and act like humans. AI uses data, servers and algorithms to train machines for specific actions such as recognizing objects, reasoning, problem solving, planning, and perception.

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use in order to perform a specific task effectively without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. 

After careful review of both their definitions, one can safely state that AI and ML help provide deep insights from a huge data source built over time which is often difficult to track by us.

If you take a further closer look, ML enables identifying patterns and structures within the data and predict outcomes of specific activities. 

Do note that the data is nothing else but “human actions and inputs recorded by various systems during the course of a specific activity or a project”.

Read the full article at Orangescrum Blog

Artificial Intelligence, Big Data, Machine Learning and IoT are courses that are in demand.

The report from a global tech firm confirms that 70% of the Indian firms will deploy AI solutions by 2019.Though these terminologies may look suave and sophisticated, but they have the power to change the world.Internet of Things is a concept of connecting the device using the internet and then passing the message.It includes the objects like cellphones, coffee vending machine, cars, wearable device, headphones, etc.It can help you to operate multiple devices from a single device, which is your smartphone.

Artificial intelligence and its related tools should bring dealers and clients closer in the coming years, a special thanks to social media outreach and big data. Customers have a well understanding of a product and marketers have a better understanding of consumers.

The vast populace engaged requires technicians, scientists, and a range of equipment to run the games.

Technology assures precision, makes sports more enjoyable, and expands options.

The world is evolving, and individuals are having more opportunities to earn money through online sports applications, which all have an AI foundation.

Fantasy sports leagues are one of the most well-known instances of artificial intelligence.

Coaches are receiving a clear picture of where they need to focus more on the player's thanks to big data.

AI and machine learning are spreading roots in every direction, assisting humanity in every facet of life.

Banks regularly partner with Fintech startups to implement innovative technologies such as Robo advice, Chatbots, KYC and Regtech, Blockchain, Wealth Management, Artificial Intelligence, Big Data and so on.

Entersoft has helped over 30 Fintech companies in Australia, Singapore, HongKong and India win big banks as their customers.

We followed a proactive approach to help our customers successfully sign up with banks like NAB, ANZ, Macquarie, Standard Chartered and UBS.

If you don’t have any existing compliance practices and certifications in place, they will ask you to fill out a questionnaire to evaluate your product security posture.

Most Fintech startups panic and struggle when they come across the never ending checklist.

A lot of questions asked by banks are also outdated and not applicable to Fintech products.

Java was a famous programming couple of years back and each specialized proficient needed to ace this innovation to manufacture a vocation in the IT industry.

Give us a chance to think about the two occupation profiles as far as the pay climb, obligation increment, and tremendous changes.Java is the programming language of decision for HadoopAs you know Hadoop is a gigantic Open Source stage for chipping away at very tremendous volumes of information that is past the limit of the customary database the executive’s devices.

The handling motor of the Hadoop environment is MapReduce structure which is fundamentally written in Java programming language.

So as to effectively send MapReduce in a Big Data condition, information of Java is fundamental.

So in the event that you are as of now a Java designer, at that point, it turns out to be very simple for you to compose the MapReduce contents that will be widely conveyed on the Hadoop group for Big Data computational occupations.HDFS additionally has the Java programming language at its center.

Presently Java controls all these different innovations and instruments giving you a strong head begin in your profession.Need Hadoop Certification Training in Bangalore?Hadoop is a common profession movement for Java engineers Java writing computer programs is being sent in different applications and to meet changing business needs.

ARSR Resources | Familiarize yourself with high-end technologies such as Artificial Intelligence, Data Science & Analytics, Machine Learning, Big Data, Cloud services & more