AutomationToAI

AI=mimics human behavior, and also improve intelligence, decision making and actions in some cases
Automation = making hardware or software interface do things automatically without human intervention. Automation may or may not be developed based on AI.
#devops

Automation reduces toil, it enhance productivity.Automation is rule -based

AI simulate human thinking ,it enhance predictive & adaptive decision making .AI is autonomous

Automation might precede AI

Automation creates a process to conduct repetitive functions like checking vulnerabilities while AI finds ways to improve the process without human intervention

Different end goals between automation and AI. Some processes can be automated without every needing AI

@TinyCyber automation is reducing the Toil

automation - more for a repetitive task where thinking is less and doing is more. In AI - thinking continuously is more besides doing. #DevOps #DevSecOps #Cloudnative #digitaltransformation

@TinyCyber What can be the goal for AI ?

@alalit Only some AI mimic human behavior, goal, like #AlphaDogfight, is can find AIs who can think differently than people

Goal for AI is increasing business value for your organization, find a goal that looks through Big Data, and finds ways to improve or eliminate margins of error

Automation only reduces the toil we are thinking about, AI finds ways to reduce future toil before it becomes toil, hopefully

i can not get into the session?!

@MardeNamdar you are already in

there is no talk?

@MardeNamdar This is a chat - the Live Stream with questions and responses is on the right side of your screen...

good one

Establish a foundation for AI to join the family – integrated data sources

Upskilling

Decoding the value

Don't think about the tools, think about the people, and where you create value. AI is a tool, a powerful one, but still a tool we can use

A place where small enough for AI fit in.

@SteveZhengCA interesting we love Agile , what can be the smallest step

Initial Investment Costs can be a challenge

I have a example, use AI analysis log, find risk. Small enough and AI text analytics and language processing can handle it very well.

Also a challenge - Hiring skilled staff and transforming your staff skill set for the new environment

no doubt Culture to start with and in no particular order others are, enterprise engineering practices of DevOps like CI/CD, automation, data correlation #DevOps #DevSecOps #Cloudnative #digitaltransformation #Toronto #Montreal #Vancouver #Ottawa #Canada

@SteveZhengCA The AI analysis log, or simply feeding logs into an untrained AI?

Also a challenge to find a way to bring AI into human processes. How to we use AI to manage vacation, payroll, benefits and interactions

@TinyCyber analysis. A good log is readable for human and computer. Developers struggle for that for many years, they have to choose whether generating the log for better "computer processing" or human reading friendly. With AI, this situation will change.

@stevezhengCA This is one of the keys, even when data/evidence presented differently by AI, have to interpret telemetry in a way to improve against future AI models

@TinyCyber Yes. training and evolving

DevOps:The Game Begins

(edited)

2.0 (Kollywood)

Matrix anytime :)

#DevOps #DevSecOps #Cloudnative #digitaltransformation #Toronto #Montreal #Vancouver #Ottawa #Canada

"Big" With Tom Hanks

DevOps Zinda Hai!

I, Devops

The Three Amigos

AI and the next gen DevOps, sounds more like a webinar than a movie :)

Establish a vision

Innovation, inculcating spirit of change across organization

Experimenting with Data

commit to the shift-up, and shift-left. Listen, advocate and account.

DevOps + AI = Shift-Up nice!

Treat AI as a software framework, a tools, but not a evolution.

I don't think there is a gap, DevOps is a cultural process and AI is a tool which can facilitate functions. DevOps advocates for certain processes, automated big/data process benefits from AI

structure them to complement not compete with each other. They use common vocabulary, tools, data.
#DevOps #DevSecOps #Cloudnative #digitaltransformation #Toronto #Montreal #Vancouver #Ottawa #Canada

@TinyCyber interesting

@alalit open source framework for data management ..

It helps orchestrate speed.
Helps bring compliance and audit control
Automation enhance the pace and scale of DevOps adoption

Like what AI does in other industries, AI start at the edge and assist DevOps staff, provide warnings or notifications, then become the action taker, eventually help us make the decision.

helping & improving in achieving things faster including feedbacks. #DevOps #DevSecOps #Cloudnative #digitaltransformation #Toronto #Montreal #Vancouver #Ottawa #Canada

Automation is definitely speeding DevOps adoption, which raises questions on organization and business culture

Automate to let people do people things and accelerate the process, people over process Need to automate while still focusing on value

@SteveZhengCA In the best scenario, the AI learns from the automated process, and helps to find ways to improve, even setting multiple GANs across several pipelines or functions