My talk on the biggest disruptions to CDO's, 1) The Gravity of Data, 2) DevOps & Software Defined Everything, and 3) Watson the horizon for Cognitive Computing

1. A PERFECT STORM IS BREWING
Three Big Disrup-ons Facing CDO’s - Any one of them could sink your boat
The Gravity of Data | DevOps & So5ware Defined Everything | Cogni=ve Compu=ng

2. The Gravity of Data - when a weak force accretes & develops mass.
“As did planets over 0me due to their size & mass, Data has in effect developed
it’s form of own Gravity.. Data has become the center of our #Digital Universe..”
• We’ve actually always been Data Driven
• The journey from the Abacus to Mainframe to HPC Clouds
• What changed is Data now drives every aspect of our lives
• Data now has weight & like gold is valued & traded as a commodity
• Edge AnalyBcs & “Fog CompuBng”
• The shi5 from Mainframe era compute to the IoT
• Moving compute & business logic to the data
• We have to rethink our design paKerns & make data smarter
• To know me is to know my data
• Customer Experience isn’t new, we just have more data now
• Petabytes of Bad data will never translate into a good UX / CX
• The “human toll” being ravaged upon our customers with each Data Breach

3. CreaBng data out of thin air, aircraH are now flying Data Centers!!
“Today’s aircraF are literally crea0ng data out of thin air, by the Petabyte, every
single day.. Introducing the #IoT to aircraF with sensor counts in the tens of
thousands, created a Cambrian event for data..”
• Boeing 787 Dreamliner
• 4,000 sensors p/aircra5
• 500 GB p/flight
• FAA says reboot them once a month !!
• Airbus A330-1000
• 10,000 sensors in each wing !!
• 2.5 TB p/flight
• Yes that’s two and a half Terabytes !!
• 87,400 domesBc flights p/day just in the USA
• Dreamliner 787’s would = approx. 43.5 PB of data p/day
• A330-1000’s would = approx. 220 PB of data p/day !!

4. How much data can one device make? No seriously, how much!?
“If you thought aircraF crea0ng Terabytes per flight was scary, wait 0ll you see
what autonomous cars are about to do to our brave new #digital world..”
• An autonomous car could create 4 PB p/day !!
• Radar, Sonar, LiDAR
• Wifi, 3G, 4G, Bluetooth
• Cameras, GPS, Logging
• 4 x PB per day?
• 28 PB p/week
• 120 PB p/month
• 360 PB p/quarter & 720 PB p/6mths!!
• 1.45 Exabyte p/year !?
That’s approx. the same amount of data per day as
three thousand people watching NePix for 24 hours..

5. Data ScienBsts have started finding Alligators in our Data Lakes..

6. DevOps and “SoHware Defined Everything” is the new normal..
“SoFware is now effec0vely the new Hardware.. (cloud is just someone else’s hardware)..”
Cloud NaBves like SoHware smart & Hardware dumb ;-)
• Bi-Modal / Bi-Muddle* / Bi-Muggle !!
• On-Prem / Off-Prem / Hybrid / Physical / Virtual / Cloud
• MaaS / IaaS / PaaS / SaaS / XaaS / CaaS / MSaaS / MLaaS
• C.I. & C.D. recipes with Chef / Salt / Ansible / Puppet / Vagrant
• KuberneKes / Docker / Terraform / OpenShi5 / OpenStack / Mesos
• Dev / Test / Int / SIT / UAT / Training / Prod / DR
• Pets VS Cadle: FIY - ITSM isn’t ready for Containers & MicroServices
• OpenStack lab project circa 2014
• 168,000 VM’s in minutes (32 GB RAM, 500 GB HD)

7. This is a car which has A.I. built in, and it’s programmed to kill..

8. CogniBve CompuBng isn’t just about A.I. or Machine Learning..
“Everyone with a SmartPhone has some form of rudimentary A.I. in their hands, but
how may of us really put even that to use daily? Most likely zero.. Ask yourself why..”
• CogniBve CompuBng – Access vs Use
• Siri vs. Google Assistant vs. Alexa vs. Cortana
• Speaking “to” our phones vs Talking “with” our phones
• Chicago Cubs 2016 USA “world series” at the World of Watson??
• SoHware Bots are not the same as CogniBve CompuBng
• Robo=c so5ware bots are changing our world, but they are not A.I
• So5ware that wins Chess and Go matches & Machine Learning is fun but ..
• Historical, Real-=me and Predic=ve Analy=cs are also not Cogni=ve Compu=ng
• CogniBve CompuBng – OK so what is it exactly
• It needs to be Trainable, Self Learning, leverage Machine Learning and eat Data
• It should perform human like tasks, be able to classify data or objects as we do
• It must be able to operate the way we do, natural language, text, voice, audio, video
• Cogni=ve Compu=ng is about knowledge automa=on, it’s about brains and not brawn