“Information is the oil of the 21st century and analytics is the combustion engine” – Peter Sondergaard, Senior Vice President at Gartner
With enterprises of today constantly striving towards digitally transforming themselves to fit and function in the world of the future, the top management is bound to make some key strategic shifts to remain agile and intelligent in their operations to achieve sustainability in the long run.
Although data is the new oil that is fueling the technological innovations (AI, ML, Blockchain, Cloud Computing, etc.) in 2019 and the years to come ahead, it is being further leveraged by deep-level analytics to generate data patterns and meaningful insights. These actionable insights serve as inputs to the decision-making process by the business leaders to achieve competitive advantage for their business across multiple functions.
In light of this scenario, we can observe that there has been a “positive” change in the way companies are increasing their IT budgets on data science and analytics. Moreover, companies are also looking for collaborations with leading data science service providers to help them deliver tailored solutions to their clients.
When it comes to discussing the major Data Science trends to watch out for in 2019, Anthony Goldbloom, CEO and Co-Founder of Kaggle, has predicted that the business-specific or departmental data science teams will soon replace the traditional data centers. It also indicates that the people in the technology industry are shifting towards data science-oriented roles which have a strong staying power in the job marketplace, allowing them to make significant contributions to their companies in particular and society at large.
Amidst the technological advancements, the convergence of algorithms, data, storage and computational power is setting the stage for a wave of creative disruption, thereby blurring the lines between the physical world and the digital world and making them highly connected to each other.
For the individuals, data science has given birth to ‘voice-based assistants’ like Alexa, Google which extracts knowledge and insights based on your input/query, voice and then responds to you with the desired output thereby saving you on time and effort. For the companies, data science is the best asset as it serves the dual purposes of digitizing the customer interactions and digitizing the internal processes both to generate data that can be used for product development, marketing and sales as well as optimizing operations and improving productivity.
TED Talks is a platform that brings together bright minds and knowledge experts from across the globe to put forth their ideas on business, global issues, anything and everything under the sun that’s worthy and share it with the world. Over the years, Ted Talks has captured the growth and development of data with the advent of the Industrial Revolution 4.0. The discussions aptly demonstrate how Data Science encompasses, influences and leverages the business, lifestyle, and even futuristic technologies.
Whether you are just interested in the data science field or already immersed in it, I have consolidated 7 best TED Talks that you must watch to give you a comprehensive overview of data science:
1. Relationship Analytics & Business (Zack Johnson)
And that’s a wrap!
Whether it is for everyday life or for the business purpose, we cannot deny the fact that data science is the need of the hour in the modern world and the basis of the future world. The more we familiarize ourselves with it, the better equipped we will be to survive.
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