Opening Data for Fun and Profit

•Download as PPTX, PDF•

0 likes•1,739 views

Opening data can unlock its value through various business models using APIs as the key. There are diverse models like charging for commercial access to data or enabling customers to integrate data for free. APIs make it easy to provide access and derive value from data at different openness stages from internal reuse to partnerships. Using an API platform like 3scale allows deriving value from data while managing access control and monetization.

Opening Data for Fun
and Profit
3scale
Steven Willmott
Data 2.0 Summit / San Francisco 2012

One of the largest API
Infrastructure Providers
Worldwide

Objective: Maximise Data Value

To your To your To the World
Business Customers at Large

Provide Access to that Data

Access tends to be Messy

• Direct to the Database
• Segregated Silos
• Tools Built Directly onto
Data
• Complex Steps to provide
access

Sunk Cost
Low Level Systems Lock In
Missed Opportunities

Have a sound interface from the
beginning

=> Use an API

Out of the Box Control

Internal and External
Audiences

Access Control, Rate Limits,
Developer Portal,
Monetization
http://www.3scale.net
Plug-and-play Setup

Get Traffic running
immediately

Scale quickly and efficiently
10

e.g.
Real Time Bus Data

Impossible to get
Anywhere Else

Stand Alone
Applications

Integrated
Applications

e.g.
Embed Lyrics Legally
Anywhere

Data and Licensing
Business

Distribution for Rights
Owners

Multi-channel

Common Models

Data is Infrastructure, Fair Use,
Public Enabling Citizens

Direct For Fee Data (and Analysis) Access
Commercial can a powerful business model

Indirect Enabling your customers to
Commercial integrate is very sticky

Stages of Data Value
Internal Re-Use
Inter Dept, Dashboards, Processes
Raw Data
Measure, Collate, Analyze

Customer
Re-use
Apps, Integration
DATA
Open to
Anybody
1000 Flowers, Market
Extension
Partners and Distribution
New Revenue, New Reach, Ecosystem

Releasing Data Value

APIs are Key to
Unlocking
This Data Value

Look Ahead in the
Cycle

Derive Value from
Every Step

Summary

Opening Data is one of the Keys to
unlocking its Value

There are many varied diverse business
models to apply

You can derive value from pretty much any
level of data openess

Get into the Data Driving Seat
With 3scale

Contact: info@3scale.net
Web: http://www.3scale.net and @3scale
Offices: San Francisco, Barcelona, London
Speaker: @njyx or steve@3scale.net

Credits & More Resources

• 3scale: http://www.3scale.net
• More on API Business Models and Development
Models
– http://www.slideshare.net/3scale/apis-for-biz-dev-20-
which-business-model-9672038
– http://www.slideshare.net/3scale/apis-power-mvc-for-
the-web
• Images:
– Flickr & iStockphoto

Location plays a huge role in big data analytics which in turn powers new and existing digital businesses. From Uber-like participatory businesses to government-led fleet and transport management, location is a differentiator that is ubiquitous and a core part of digital transformation. This session looks at how location data can be leveraged for digital transformation – be it for a new disruptive digital business or for an existing business looking to leverage existing data for newer business opportunities. For instance, Internet of Things and mobile devices usually have a location parameter associated with the device which in turn can be used by the analytics engine to figure out the most optimal route. This data has to be overlaid and integrated with external spatial systems and shared with stakeholders via spatial APIs to encourage participatory business models. Even security can have a spatial aspect to it. We will look at some interesting theories, examples and business + technical ideas. This is the importance of WHERE, NOW!

Splunk live london_grsjenny_splunk

BSFI Technology Offerings by Value Innovation Labs

Mount Talent Consulting

Architecting for Big Data: Trends, Tips, and Deployment Options

Caserta

Joe Caserta, President at Caserta Concepts addressed the challenges of Business Intelligence in the Big Data world at the Third Annual Great Lakes BI Summit in Detroit, MI on Thursday, March 26. His talk "Architecting for Big Data: Trends, Tips and Deployment Options," focused on how to supplement your data warehousing and business intelligence environments with big data technologies. For more information on this presentation or the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/.

Big data (reversim)

Nati Shalom

Adopting Hadoop to manage your Big Data is an important step, but not the end-solution to your Big Data challenges. Here are some of the additional considerations you must face: Choosing the right cloud for the job: The massive computing and storage resources that are needed to support Big Data applications make cloud environments an ideal fit, and more than ever, there is a growing number of choices of cloud infrastructure types and providers. Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility for all your IT needs. Big Data is a complex beast: It involves many and different moving parts, in large clusters, and is continually growing and evolving. Managing such an environment manually is not a viable option. The question is, how can you achieve automation of all this complexity? The world beyond Hadoop: Big Data is not just Hadoop – there is a whole rapidly growing ecosystem to contend with, including NoSQL, data processing, analytics tools… As well as your own application services. How can you manage deployment, configuration, scaling and failover of all the different pieces, in a consistent way? In this session, you'll learn how to deploy and manage your Hadoop cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called Cloudify.

Are API Services Taking Over All the Interesting Data Science Problems?

IDEAS - Int'l Data Engineering and Science Association

Stop observing data ! - Turn them into business with OpenDataSoft

OpenDataSoft

WSO2Con EU 2015: Reference Architecture for EDA With 100 billion API calls per minute in the cloud, event-driven architecture is more relevant today than when John started it back in the 1980s at TIBCO. This session will focus on the history of event-driven architecture and the new event-driven architecture that some are calling the 3.0 platform. It will also talk about the suite of core EDA components that work with and are augmented by cloud, mobile, social, big data, and API management. Some sample case study architectures will be presented for cloud as well as an IOT service. Presenter: John Mathon Vice President – Enterprise Evangelism, WSO2

Stream SAP and Other Events Across Your Enterprise with an Event Mesh

Solace

Introduction to Amazon AI & Deep Learning

Amazon Web Services

Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and machine learning (ML) technologies within the reach of every developer. Based on the same proven, highly scalable products and services built by the thousands of deep learning and machine learning experts across Amazon, Amazon AI services provide high-quality, high-accuracy AI capabilities that are scalable and cost-effective. Speaker: Ian Massingham, AWS Evangelist

IoT at the Edge - Greengrass and More - AWS PS Summit Canberra 2017

Amazon Web Services

This session focuses on the business and strategic implications of leveraging IoT, and provides starting points in the AWS Cloud to accelerate your time to value. Learn how to build IoT solutions with AWS Greengrass to connect different types of cloud devices and reap the benefits of communicating your data across platforms to better respond to events, ensure secure communication, and reduce the cost of running IoT applications. Speaker: Craig Lawton, Solutions Architect, Amazon Web Services Level: 200

Event-Driven iPaaS: Enterprise Integration Meets Event-Driven Architecture

Solace

Airbyte - Seed deck

Airbyte

Stream SAP and Other Events Across Your Enterprise with an Event Mesh

Solace

Delivering business value from operational insights at ING Bank

Splunk

Discover how ING Bank gains critical insights from the data generated across its IT estate. This webinar will highlight how the bank benefits from real-time visibility into its operations and performance, while enhancing business analytics to deliver improved insight into customer behavior and ultimately make better business decisions. Join this webinar to learn how ING Bank: - Maps the customer journey end-to-end - Scores each of its retail customers every day to prepare the best offers for them - Categorizes in real-time each financial transaction performed by retail customers to provide them with the best insight into their monthly budget and money flow

Enabling Push Button Productization of AI Models

Databricks

Democratization - New Wave of Data Science (홍운표 상무, DataRobot) :: AWS Techfor...

Amazon Web Services Korea

Splunk for ITOps

Splunk

Open Source adoption in a Mexicon Second tier BankWSO2

Accelerate the Adoption of Event-Driven Architecture

Solace

IDC Insights Awards 2018 - What is an Event Mesh?

Solace

Auto AI : AI used to create AI applications

Karan Sachdeva

Building AI applications is a very complex process involving steps and workflows which are becoming more complex every other day. Its a circle since the AI application is nothing but a feedback loop between various steps involving data. Consider the below picture a data scientist or ML engineer has to work through. Now my mission as an evangelist of the AI technology who sees a lot of promise in this technology would like to make it simple so we can empower more professionals in the business to become what we call "citizen data scientists". A citizen data scientist is a business person empowered so well that he can combine his domain knowledge with tools an expert data scientist uses in a simplified way. We have seen this impacting customer experience in 5x and revenue increase in the range of 15-20%.

Running a World Class SaaS Organization

Flexera

Build V. Buy Infographic

Flexera

From Business Hindsight to Foresight with Azure Synapse Analytics

Korcomptenz Inc

Introduction to Event-Driven Architecture

Solace

SplunkLive! London 2016 Get your service intelligence off to a flying start

Splunk

If data is the new oil, then interfaces are the new delivery means -- Ignite ...