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Is today's world all about creativity and ideation?

Are they the seeds to be nurtured to bring in automation, innovation and transformation.  There is a saying, necessity is the mother of invention. I would say, innovation is amalgamation of creativity and necessity.  We need to understand the ecosystem, to apply creativity and identify the ideas to bring in change. We need to be competent with changing ecosystem and think beyond the possible. What is the biggest challenge in doing this? "Unlearning and Learning", we think the current ecosystem is the best. Be it health, finserve, agriculture or mechanical domain, we need to emphasize with the stakeholders, to come up with the strategy to drive. The very evident example here is the quality of life is changing every millisecond. Few decades back the phone connection was limited to few, but today all the millennials are having a mobile phone. Now phone is not just a medium to talk, but are so powerful devices that an innovative solution can be developed on it....

Do we really need Data Scientist?


Hello Data Inquisitors,

Today while having my discussion with Database expert, there was a healthy discussion between us around "Do we really need Data Scientist?".

"DATA SPEAKS WHAT AND HOW ONE WANT TO SEE" - AG

Discussion started by one of my dear friend who is the DB expert, he is the database administrator and is serving the industries consuming Data Mining and Data Warehouse techniques. He was very clear when he called out that Data Analytics is like an old wine in the new bottle. It just a new Job title has been created to continuous with thunder in new disruptive world. I appreciated his thought and the sense of attachment to "Data Cloud". Discussion went on for an hour before he embraced the need of Data Scientists. 

Data Scientist to me is an Architect who has the skills to project collection of data points i.e., " Data Ocean" to a decision-making Data Visualization asset by using complex statistical theorems called Data Analytics. Structure Data is one of the type of data that is mined by DB experts, which is later used by Data Scientist by applying theories like Probability, Normal Distribution, Poison algorithm etc. DB experts help collect data whereas Data Scientists help process meaningful information out of it and present it in visual form for consumption for quick informed decision.  
In the current disruptive world, all industries are leveraging Internet of things which is generating TBs of data in a day. Data is the future currency for every industry, be it Retailers who need it to understand Customer better, Health Care to study their patients to cure them using Preventive measures, similarly Tourism is using it to make their visitor's journey memorable by preempting their behavior and needs. Data is getting consumed in Tera Bytes by most of the Industries. It is becoming more and more eminent for Data Scientists to connect dots (not visible by naked eyes) and help generate visuals real time for quick response to the situation. Artificial Intelligence or Machine Learning techniques are leveraged by everyone seamlessly without realization around us be it a customer care or driving a vehicle. AI is enabling individuals to focus on core by strategic decisions.

Data Scientists are in shortfall across industries. Digital revolution had infused data galaxies on net by various tools like Google Analytics which is helping Digital creators capture any action on ecommerce site. Data Scientists come in and rescue entities by properly applying (Black Box Technologies J) algorithms to conclude Confidence level of accuracy or Predictive analytics to prepare for future “Unknown” event. Disruption everywhere is driven by Data Scientists to be able to catchup with fast pace changes.

How Data Scientists are helping shape up future?
  1. Structured approach to Decision making, much more informed decision using data analytics.
  2. Data collection and real time processing of data is helping machines becoming more intelligent called "Artificial Intelligence".
  3. Predictive and Descriptive Analysis help minimize risk for risk takers.
  4. Help generate newer set of opportunities by presenting data dashboards.
  5. The enable us to extract patterns and meaningful information for organizations and individuals.

Data Scientist are the future for this economy to grow and make it more informed to have right set of decisions.  Artificial Intelligence and Machine Learning to rely on the right information feed to system to have right decisions.  Data Scientist help drive economy towards intelligence and excellence.

Satya Nadella, CEO of Microsoft recently said “Data is the real currency of your company”.

In future blog let us talk about Data Analytics and power of R language.

Outstanding Outliers Productivity SolutionsThank you...
Outstanding Outliers "AG".  

Comments

  1. Extremely well written! 💯

    ReplyDelete
  2. "Data is the future currency for every industry"
    Well said.

    ReplyDelete

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