@RKs2cents According to Gartner, there's a scarcity of engineering skills. So, democratizing data will help permanently solve the problem. #eweektweetchat

Hello, everyone! #eweektweetchat

I am fortunate to work for a company Hitachi whose tagline is "Powering good". Excited to be talking at the #WomenofSiliconValley on "Tech for Good", in addition to a mentor session with high school students re #stem #techforgood #bettersociety.

Great discussion everyone. Look forward to the next time @JamesMaguire. #eweekchat

A10. As #ITandOT converge, the demand for #DataOps will end up serving more interconnected applications, devices, algorithms and #MachineLearning models that drive #digital experiences. #IoT #eweekchat

A9. Automating large volumes of repetitive tasks such as #DataClassification and #DataProtection, can improve productivity by using business policies applied to volumes of data. Automation to curate #Metadata and analysis helps to augment hum. #eweekchat

A8. We are seeing demand increase across all industries with the most exciting #DataOps innovations in #Banking, #Technology, #Consulting, #Government, #Telecommunications, #Insurance, #Healthcare. #eweekchat

A7. Far from diluting the value of #DataOps, we are seeing the more widespread DataOps becomes, the more powerful the organization becomes at managing and governing #data well. #DataGovernance #eweekchat

A6.2) Being successful means #DataOps practice is understood, adopted and performed by a critical mass of producers and consumers across the enterprise. #eweekchat

A6.1 ) #DataOps isn’t a noun, it’s a verb i.e. it’s something that is performed day-in, day-out as the new norm. A company can always procure new tools and technologies and then buy in or even hire in new expertise to run it. #DataCulture #D. #eweekchat

A5. It’s both and necessarily so. Challenge is how we effectively #collaborate in a large organization, how we create processes to add end-to-end visibility, what tech do we use for scalable #DataManagement. #UX #AI #eweekchat

A4. The reality is 87% of #DataScience projects never make it into production and the majority of #DataLakes have become unmanaged and ungoverned. See the report: #DataOps provides better practices to bring back value. #eweekchat

A3. To unlock value, applications need access to that data to contextualize it and correlate it across different datasets from 1000s of different sources coming in different formats all the time. #DarkData #eweekchat

A2. 2) As IT increasingly becomes hybridized across #CloudComputing, #IoT and on-premise systems, #DataOps practices are rising to the forefront to serve how data is created, managed, governed and consumed. #eweekchat

A2 .1) #DataOps practices are not yet mainstream in today’s enterprise. However, what is mainstream is the recognition amongst our customers that adopting and applying DataOps is required to become a #DataDriven organization. #eweekchat

A1. 2) Hitachi defines DataOps as collaborative and automation with an outcome focused data culture and processes to address data friction across your fabric. #eweekchat

A1. 1) In DataOps, the idea is to deliver, in the words of 451 Research - “more agile and automated approaches to data management.” See the report: #eweekchat

Hi Everyone! Thanks for having me on @JamesMaguire #eweekchat

RT @thenewstack: Hitachi Vantara Launches a Cloud Native DataOps Suite @andrewbrust and Pamela Steger @HitachiVanta….

RT @HitachiVantara: How does Radhika Krishnan @RKs2cents describe the #Lumada DataOps Suite? She calls it our answer to bringing emerging #….