The Future Of Big Data And Ai In Business World

By Author: James Church
Total Articles: 4
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Well said by Daniel Keys Moran, an American science fiction writer and computer programmer-“You can have data without information, but you cannot have information without data.”

It’s true. You cannot make a decision unless you have a series of prior information about a subject. Let’s say, you need to judge a stranger. Will it not be an uphill climb to pass any judgment sans having any previous knowledge about him? On the flip side, you will speak up in a second, if it comes to judging a known one.

It’s not a strange thing. A deep observation reveals that it’s no big deal. Your memory comes forth with accumulated information, which you obtain on recalling several previous actions. What if you did not witness those previous actions? It indicates that you don’t have the data about those actions. Thereby, you will be unable to conclude anything. Data mining proves this phenomenon right. All in all, it determines the data are making rounds in almost every domain. The advent of artificial intelligence (AI) has made its results more aggressive & viable. Its significance is helping multiple organisations ...
... to go some extra miles in terms of success and achievements.

How do data and AI change the future of business world?
Unfortunately, a man tends to forget. This biggest downside grounded up the need of having machine to keep everything. Thereby, AI marked its footprints. At present, you witness the fourth industrial revolution. It was mere an interesting sci-fi topic until today. Its efficacies, prominence and epic solutions have assigned machines a control over prospects. This control will be stronger in the future. It’s all because of the machine intelligence.

If you ask to define AI, it can be seen as “an array of tools and techniques fused to make a software smarter. The outside observer thinks that the answer is given by a man.” The smart devices, like Siri, Home and Echo, prove it right.

Let’s understand how it can change the way you make decisions in any business through AI processing data:
1. Marathon for learning data science: Artificial intelligence is a fertile ground wherein blockbuster ideas stem up. The great contribution of these ideas emerges in high scalability, significant cost saving, consistent revenue & growth, which consistent & error free data deliver. These are the prominent wants of every industry. This is why the demand for the techie data scientist is going to be exhaustive. Data Science platforms are perceived to grow at a 13% CAGR through 2021 in the BI and analytics market, according to Gartner.

But, the foremost challenge is limited AI-equipped workforce. With its massive disruption, a huge number of aspirants have inclined to data science. Being a sophisticated job requiring logical reasoning & analytical eyes, IBM recruits a data scientist at an average pay scale of $65,889 whereas Microsoft pays $115, 412 to the career oriented job seekers. Their pay scale defeats lucrative packages of the most sought-after latest UPSC jobs in a govt. job in India.

2. Unmatched AI triggered intelligence: AI has three stages-Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI). By the end of 2020, the two stages will be passed. This technology will merge multiple fields, including reasoning, problem solving and abstract thinking. Several software, like Clara, AnswerRocket and Fyle, together with Facebook and Google algorithms employ this technology for pulling out business opportunities. It clearly expresses that the transition, wherein machine intelligence will surpass human brain across all fields, is just a few years away.

3. Machine learning at peak: The International Data Corporation (IDC) has estimated that the potential investment will range from $12 billion to $57.6 billion by 2021. Even, Deloitte has also predicted that machine learning pilots will be double in the upcoming years.
It’s just because of the accurate data that AI-based algorithms fetch to integrate with research and develop understanding. This is how learning patterns are derived to educate machines for self-determining human intends and instincts.

4. Speech recognition will amplify: A Market research report suggests that speech and voice recognition market will boom worth $21.5 billion by 2024 at a CARG of 19.18%. Its demand will be at peak in healthcare application, mobile banking application and multifunctional devices/ smart speakers. This technology is already penetrating breakthroughs through Intelligent Virtual Assistance (IVA), for example-Amazon Echo, Google Home and Apple HomePod in North America and Europe. This technology will assist recognition software with micro-linguistics and local languages to educate illiterate customers and disabled students.

The big shots like Nuance (US), Microsoft, Alphabet, IBM, Amazon, Sensory and Baidu are busy with mining revolutionary methods through this technology.

5. Sentiments-based Analytics: Sentiment analysis exposes emotional tone or voice behind a score of words and deep analysis of human emotions through data. With the valuable contribution of deep learning, the globe is likely to engage grow worth USD 6 billion at a CARG of 14% over the period of 2017-2023.

The vitality of this technology transforms the level of sentiment analytics and opinion mining of consumers. This comprehensibility figures out issues related to consumers’ need, expectations and extending customer base. It will enhance through artificial intelligence in the future.

James is a business analyst with over five years of experience. He inclines toward big data for deriving incredible intelligence. Their implementation injects breakthroughs, which steer an operation from loss-bearing to profit-making scenario. He has written several success stories during outsourcing data solutions for innumerable clients.