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....
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?
- Structured
approach to Decision making, much more informed decision using data
analytics.
- Data
collection and real time processing of data is helping machines becoming
more intelligent called "Artificial Intelligence".
- Predictive
and Descriptive Analysis help minimize risk for risk takers.
- Help
generate newer set of opportunities by presenting data dashboards.
- 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.
Thank you...
Outstanding
Outliers "AG".
Extremely well written! 💯
ReplyDelete"Data is the future currency for every industry"
ReplyDeleteWell said.