Avanxo

Keynote:

Peter SchwartzSVP, Global Government Relations & Strategic Planning

Salesforce.com

May 27 – 2014

Bogotá - Colombia

Cloud 2020: Taking your customers into the future

Cloud Forum 2014

May 27, 2014

Peter Schwartz

SVP, Global Government Relations & Strategic Planning

Salesforce.com

Third Wave of Computing:“Internet of Things”

LAN/WAN

Client

Server

Millions

SNA

Mainframe

Terminal

Thousands

LTE

Cloud

Social . Mobile . Cloud . Connected

50 Billion Connected “Things”

Technological change is transforming human relationships

Cloud Market & Adoption, Large & Accelerating

Unlocking the Valueof the Organization

Next Evolution: Mobile as a Powerful Hub

• More powerful, low cost smartphones

• Increased connectivity (via Google Project Loon,

Facebook Internet.org, Wireless Mesh Networking etc.)

will expand users exponentially

Mobile & Beyond: Ubiquitous Access

Next Level User Interfaces

• Sales apps will line up profiles for people who have scheduled

meetings throughout the day or who are attending a meet-and-greet

• Facial recognition – valuable at trade shows, conferences and events.

• Real time coaching allows sales coaches to directly observe and

record their teams’ sales calls; managers provide feedback in real time

or when convenient

• Field Service (among first adopters for mobile CRM)

– Pull-up account history so data readily available and hands-free

– Training and coaching via live-streaming video conferencing

functionality so a team of experts can be with the technician at the

job site virtually in order to diagnose a problem.

• Gesture controlled interface (LeapMotion, EyeTribe, Myo,

Fin, etc.)

• Virtual reality, .e.g Oculus Rift; Holographs

• Advancements in natural language processing, smart data, and neurobiology will

evolve into artificially intelligent systems that will know us better than our best

friends. Voice interface will be more powerful and specialized

• Powered with instant knowledge, these personal management hubs/assistants

will prioritize and optimize, prompt as well as respond, and continuously learn to

help us manage and clarify an increasingly cluttered information horizon

From Personal to Intimate Computing

• Social channels will be used to gain insights on trends, markets, geographies, prospects,

customers, products, services, competitors

• It will be default for companies to have social platforms where they can engage with

customers and partners. Products, services and institutions will be evaluated and reviewed

on social platforms

• Crowd-sourced service issues often increase customer satisfaction while reducing demand

on financial institution resources

Social & Collaborative Revolution

NEW/Collaborative Economy

Funded &

insured via

Lending Club

Independent

Designers

Components

& Suppliers

Wiki-speed

Real-time

interaction &

feedback with

producer

Cloud,

Collaborative,

Mobile,

Social

Real-time

interaction &

feedback with

driver

Real-time

interaction &

feedback with

other drivers

Social Proof: the Future of Selling

Leads

Prospects

Customers

Sensors everywhere

The new jet engine

Salesforce Customer Stories, Gartner Research, Predicts 2013: “Application Integration” Nov 14, 2012

• Telematics/sensors monitoring behavior

• Microsatellites and drones monitoring assets such as crops,

business locations, disaster areas, etc.

• Driverless cars & autonomous driving

• Wearables and ingestibles will drive proactive healthcare

versus reactive sick-care

• 50B connected devices combined with the power of

geospatial, temporal, and social provide FIs with valuable

CONTEXT to deliver integrated solutions with more

personal, multiple and frequent touch points

Connected & Contextual

Predictive Analytics

• Critical to sense the environment & respond in real-time, anticipate user

action, and meet users in their moment of need.

• Customer management to improve customer treatment and

engagement. Product and service recommendations direct to the

customer, and sales prompts for salespeople

• Production systems. Pattern matching against historical data, a

system can sense if a bottleneck is about to occur within the supply

chain or a particular machine is about to break down.

• HR and recruiting to determine the likelihood of a job candidate being

happy with the company and remaining for a long term.

• Pricing models to determine the best price for a product and To

monitor and predict whether prices of good or services will rise or fall.

• Healthcare to help in medical diagnosis and mapping the success of

drug trials

Closing the Loop: Predictive Context & Real-time Analytics

• Capitalize upon IoT to provide the: the right

information, at the right time, at the right place,

for the right person, on the right device/form

factor

• $140 billion in value creation. Increased

productivity, higher revenue, more loyal

customers

• 50B+ connected devices combined with the

power of geospatial, temporal, and social provide

valuable CONTEXT to deliver integrated

solutions with more personal touch points

Capture activities Before

Engagement

Structure Engagement based on this information

Capture activities

AfterEngagement

Refine & extend

Engagement Strategy

-Real-time

relevance

-Continuous

learning

3D Printing & Maker Movement: evolution from the masses back to the individual: e.g. Shoes

Fog/Edge Computing

• Cloud computing extended to the edge of the

network in age of billions of connected things

• Intelligent processing closer to the data with nodes

distributed between end devices and data centers

to provide compute, storage, and networking

services

• Improves scalability, reliability, faster response time,

lower cost…enables truly real-time analytics

Cisco Technology Radar Trends 2014

Core Mobile Technologies Enabling the Future

Processors

• transition of the mobile ecosystem to 64-bit processing by Qualcomm

Snapdragon 800 series and Apple A7+

• LTE to become standard on all chipsets within a couple years, including the

cheapest chips targeted towards the developing world

• 64-bit architectures lays the groundwork for a future in which more

sophisticated and memory-intensive applications and operating systems prevail

• Promising advancements in germanium (~2018), carbon nano-tubes and

graphene with the potential to operate at exponentially greater speeds while

also consuming less power and producing less heat

Spectrum Crunch solved through Optimization

• Geo-location, database-based spectrum

sharing

• Cognitive radio

– Senses & monitors the radio environment

– Allows co-existence with radar & satellite

systems

• Software-Defined Radio allows devices to

adapt to local radio conditions and use the

appropriate frequencies

Cisco Technology Radar Trends 2014

WebRTC for the Enterprise

• Applications:

– Real-time communication as part of an internal workflow, e-

commerce, or business process

– Website becomes call center; click-to-call capabilities,

immediately chat with a real person (audio or video)

– Web-conferencing; Host internal & external meetings using

browser instead of installed client

– Encryption capabilities appealing to finance and healthcare for

customer/patient meetings

– In-house telco servicies; SMBs no longer reliant on 3rd party

software or telecom companies

• Real-time, peer-to-peer voice & video communication

through a browser, no plug-ins necessary

In-Memory Revolution driving Real-time Intelligence

• Greater speed, more predictable, larger capacity, ability to handle structured, semi-structured,

and unstructured data

• The falling price of RAM coupled with more than 40x times the data to be stored in the same

finite space as disc-memory allows for reduced data center costs, energy usage slashed up to

80%, reduced maintenance needs, and streamlined performance

• Sweet spot is where massive amounts of data, complex

operations, and business challenges demanding real-

time support collide

• Projected to grow from $2.2B in 2013 to $13.2B in 2018

Infrastructure/Core Technologies of the FutureProcessors - Future

• “Brain-like” neuromorphic processors under development

• “Neuron-like” elements that are able to learn from their own experience and make correlations

that dictate the course of action instead of relying on a pre-programmed set of commands

• As a coprocessor alongside regular CPUs it would allow for a new generation of AI that will

perform a variety of actions that humans do with ease: see, speak, listen, navigate, manipulate

and control. Hence it will greatly enhance facial and speech recognition, navigation and planning

• Google developing a machine-learning algorithm, known as a neural network, to perform an

identification task without supervision.

• The network scanned a database of 10 million images, and in doing so trained itself to recognize

cats and a human face

Conclusion

• The cloud will be everywhere, high and low

• The smart phone will be the hub of our personal networks

• Intelligence and analytics will be in every app

• Voice will be the new User Interface

• Every interaction will have a context

• We will all have personal assistants for both work and home

• Sensors and things will be universally connected

More info:

www.avanxo.com