Deep Learning ,Data Science & ML- Changing Paradigm - Chief Data Officer's Bible

A lot have been said, marketed , put across and heavily advertised in areas of Data Science , ML and Deep Learning- which puts us in a frenzy of how do customers embark the journey of Advanced technologies to adopt measurable outcomes.The madness for jargons and strategies thrown about by marketing frenzy is deafening...Let me talk here more as a geek , a partner and a CDO ally who have seen this un-fold..

I have been talking to many CDO's over last year and what comes out as a biggest challenge is that have to lead an entire internal marketing initiative to educate everyone in the company — from senior executives to business to training the data science teams— on the value of internal data science. CDO needs to incorporate this narrative into every aspect of the organization as well as make the technology choices.

As a CDO get's building his Data Platform - making the right choices takes him a long way.Below comparison talks a lot about Data science platforms which have opened a plethora of probabilities to achieve the means.As a Data scientist and CDO 's deepest ally - I have seen various platforms come out to the fore.. Tensor -Flow stands out along with Torch and CNTK..Data science is a continous learning process .What strikes about Tensorflow is that you can express your calculation as an information stream diagram to utilize TensorFlow -profoundly adaptable framework which gives various models or different renditions of a similar model can be served at the same time. The engineering of TensorFlow is very measured, which implies you can utilize a few sections independently or can utilize every one of the parts together

Hitachi does a good job at Democratizing AI , ML and Data science in different industries. Democratize Digital technologies is the top charter for the CDO's nowadays.Being involved in such pursuits - here are few go-to's for customer CDO's as they benchmark such projects. The below points are more a real world peak through experiences i have gathered working with organizations embarking Data Transformation

1. Data Science Reality -Always start with the killing un-realistic expectations from Data science- Business would always want wonders but not explaining the end clearly. The job at hand for CDO is to bridge expectations ,reality and the bridge to get there.
2. Stop the buzz-words & Kill Distraction Sources -Define the use-cases to n-th level killing technology distractions.Communicate a clear defined Data Science , AI & ML Strategy.Cut-through marketing from various Data Vendors..
3. Quantify Impact at the start of Digital Transformation :impact of a CDO on an organization can be significant and lasting. From creating business value and managing firm-wide risk to reducing cost and driving innovation.
4. Start at the Floor :Last but not the least start small by solving business challenges which means a lot to the business. It can be as lucid and simple as the use-cases mentioned below. Hitachi does a good job at defining those with you..

As we know Data science and ML have broad implications. The below study from McKinsey explains it so clearly . ML have broad implications in different industries by volume breadth and frequency of data.

4.Visualize the business priority by potential - A lot can be said on this topic . Below study explains it clearly. In addition to being evangelist who stimulates new thinking about the economic value of data and its importance as the foundation of decision making. At their best CDOs should ask and lead disruptive thinking on how data can be used within an organization.

I will be speaking next month at https://www.dhirubhai.net/posts/sandeep-patel-3567a238_data-strategies-for-digital-transformation-activity-6580694120547831808-5Cqr. Looking to share more on Hitachi Data Science Proposition.

Hope to share more as we unfold the # CDOBible # datascience # machinelearning # deeplearning # getyourredon # digital transformation # CDO # Bigdata # hitachivantara #Data Science

https://www.dhirubhai.net/pulse/deep-learning-data-science-ml-changing-paradigm-chief-patel