Mac DevineVP and CTO for Innovation Services, IBM Distinguished EngineerIBM Cloud Division

wdevine@us.ibm.com@mac_devine

Surthrival Guide to solving the Perfect Digital Storm

There is a Perfect (Digital) Storm brewing…

2

Surthrival Approach

3

The Golden Circle

Distributed Digital Enterprise Advanced predictive analytics

Real-time sensors

Explosion of mobile devices Enterprise Social MediaInfrastructure optimization(cloud computing)

Cyber security

The Perfect Storm: The Problem

5

Developer BusinessNumber of

DevicesAmount of

DataGeographicalDistribution

• Billions of Devices

• Data Onslaught

• Borderless Networks

• Security• Privacy• Data

Insights

Recipe for Disaster

Internet of Things Reference Model

Levels

Application(Reporting, Analytics, Control)

Data Abstraction(Aggregation & Access)

Data Accumulation(Storage)

Edge Computing(Data Element Analysis & Transformation)

Connectivity(Communication & Processing Units)

Physical Devices & Controllers(The “Things” in IoT)

Collaboration & Processes(Involving People & Business Processes)

1

2

3

4

5

6

7

Data at Rest

Data in Motion

Sensors, Devices, Machines,Intelligent Edge Nodes of all types

Center

Edge

The model is based on

“Information Flow”

IT

OT

The model is based on“Integrated Security &

Management”

Solving the “The Perfect Storm”

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Data Acquisition Flexibility & Efficiency

Security Clear End to End Security Model

Scalability Automated Elastic Scaling on demand

Data & Analytics Real-time Insights, Actionable Intelligence

Eco-System Digital Platform, APIs for exposure

Actionable Insights = Always right decision

cs

Tier 1: Devices / Sensors (Things)

Tier 2: Protocol Gateways

rules

aggregation

filteringsampli

ng analytics zone

model dev. , training and

operationalization

real-time CEP

real-time predictive analytics

real-time entity matching

real-time event management

Tier 3: Operational Gateways

Analytics pushdown

rulesInternet

Tier4: Data & Analytics Zone

Context pushdown

But is th

is the rig

ht Archite

cture?

Business Insights

Autonomous Smarter

Processing

Edge Intelligence

OT/LOB

FACTS - F(ast), A(ccurate), C(omplete), T(rusted), S(calable)

Enterprise

Core IT

Project MTNDecentralized Autonomous Edge Computing

device

mobile

office

datacenter

car

cloud

• Blockchain• Contracts• Exchange• Markets• Directory

• Whisper• Async Messaging

• Bittorrent (->Swarm, ->IPFS)• Microservice Deployment• Firmware Deployment• Large Files

BrowserBrowser

API

• What is the Edge? Everything is the Edge (e.g. cloud, devices, homes, your datacenter, etc…)• MTN is the decentralized P2P Fabric that connects all the Edge endpoints together.• MTN only uses P2P Technologies because it is Decentralized.• Edge/endpoint behavior (connecting to other endpoints, and/or accept connections from other

endpoints, services provided/used, cost, security, duration, etc…) is driven by local policy.• There is no center. Edge/endpoint access to Exchanges, Directory Services, Discovery,

Markets, etc… is done locally.• Severable, fault tollerant, audiable, multiparity, encrypted, smart contract driven.• Cryptocurrency, virtual currency, hard currency, trade, cold hard cash supported.

Colonus

• Governance• Policy Enforcement• Automation• Autonomous (policy driven)• Control Plane• Push all compute to data, any

data, anywhere.• Every endpoint large or small a

cloud with static and/or dynamic services.

MTN = Decentralized Micro-services Platform

cs

Tier 1: Devices / Sensors (Things)

Tier 2: Protocol Gateways

rules

aggregation

filteringsampli

ng analytics zone

model dev. , training and

operationalization

real-time CEP

real-time predictive analytics

real-time entity matching

real-time event management

Tier 3: Operational Gateways

Analytics pushdown

rulesCloud

Tier4: Data & Analytics Zone

Context pushdown

Secure Connectors

M2M communication

Empoweredanalyst

Heroanalysts

The future of intelligence

Skills and experience spotting patterns in data and assessing threats

Using Watson to expand data sources and filter out the

noise, analysts can focus on their high value skills

Valu

e

The transformation of a Security Agency is about maximizing the performance of the analyst

A collaboration of human & machine to uncover

insights and counteract threats in the most timely

manner

Watson Can Be Transformational in Security

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IBM investing in Cloud, IoT, API, Security & Big Data Analytics

Acquisitions

+$7B on 15 cloud acquisitions, including SoftLayer (2005 – ’13)

$2B on SoftLayer acquisition in 2013

Acquisitions have continued through 2015

Capacity Expansion

$1.2B Data Center Expansion40 cloud data centers15 countries 5 continents

$1B investment in BlueMix, IBM’s PaaS, running on SoftLayer

Bluemix

70+ Bluemix services, runtimes, boilerplates

40 Locations , ~500 IBM and Third-Party cloud services on the IBM Cloud marketplace

Partnerships

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The Weather Company (now part of IBM)

Steer

Dev/Test

Deploy

OperateDevOps

Continuous Feedback

Design Thinking

Containers

Extreme Agile

Cognitive Intelligence

IoT

AnalyticsMicroservices

Tooling

Runtimes

Instant access to APIs, micro services and infrastructure needed to launch ideas

Composeable Digital Platform = Bluemix

Mobile

DB choices

API Management

Security

Alchemy

APIHarmony Watson

API Catalog

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Excited? – Now get on it!!!

Join our BetaGo here for more information on

Getting Started (Initial Setup & Applications)

http://tremor.hovitos.engineering/Based on open source and open sourcing shortly.