catalysing research and enterprise collaboration in the data ecosystem
TRANSCRIPT
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catalysing research and enterprise collaboration in the data ecosystem
CeADAR: centre for applied data analytics
introductionthemes
USPecosystem
delivering value
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CeADAR: Centre for Applied Data Analytics
CeADAR is amarket-focussed
technology centre for innovation and
applied research that accelerates the
development, deployment and
adoptionof Data Analytics
technology
CeADAR’s market-defined themes
Visualisation & Analytic Interfaces
• ‘Beyond the desktop’
• Ease of interaction
• Changing user behaviour
• Passive analytics
Data Management for Analytics
• Reduce data management effort for analytics
• Data validation
• Relevance of events to relationships
• Data curation (determining useful data)
• Adaptive ETL (Extract, Transform, Load)
Advanced Analytics
• Causation challenge
• Live topic monitoring
• Social trending and contextualisation
• Continuous analytics
• Social Identity fingerprinting
Geared to delivering a laser focus on industry and business needs
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Governance model:Industry Steering Board (ISB)
ISB is CeADAR’s main governing
body
independent industry
chairperson
6 industry members
3 PIs
Platform research projects must be approved by ISB
Research projects require ≥ 2 industry member sponsors
ISB allocates resource from core
funding for an initial 6 months
After 6 months:
• The project is concluded or• 3 month (max) extension
Our core-funded proposition
We develop analytics tools, techniques and technologies
for better decision making
• Applied R&D addressed to specific industry challenges
• Senior R&D staff (we don’t run PhD/MSc programmes)
• Approx. 20 demonstrators per year
• Demonstrator rapid-prototyping delivers in 6 months
• Demonstrators funded from CeADAR core funds
• Opportunities to trial existing CeADAR technologies
• Access to CeADAR IP
• Each project delivers: State-of-the-art review Technical specification A demonstrator Industry evaluated demonstrator performance
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Our non core-funded proposition
As well as the core-funded engagement model,
companies also engage with CeADAR in:
• Contract research
• Contract consultancy
• Enterprise Ireland instruments
• Horizon 2020 instruments:– RIA
– IA
– SME Instrument
– FTI
www.ceadar.ie
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Customer Exploration Tool
A data analytics tool to allow users, without significant data analytics expertise, to explore any customer segments that they have themselves manually defined in an ad-hoc manner, e.g. for a mobile phone operator, this could be how many women between the ages of 16-20 use their services?
Real time continuous analytics: clustering
High-throughput scalable clustering for data streams
Live data capabilities to advanced analytics tasks
Solution processes > 3M entities/minute (50K/sec)
Implemented on Apache Storm with commodity hardware
Applications: SPAM detection in networks fraudulent behaviour detection identifying emerging topics in
content streams detecting new user behaviour
and patterns
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Contact centre analytics
Text stream
Issues and
alerts
Automatic speech-to-text transcription Topic modelling
Automatic topic and issue extraction over large volume audio dialogue
Alerting to new and trending topics and tracking of known topics
Applications
– contact centre data
– online video transcription data
– large-volume speech audio domains
Overview
Develops new techniques and methods to identify users across disparate social networks based on both network-based metadata and content-based features
Applications
• Social fingerprinting: identifying individuals across different networks for user validation, user profiling, fraud prevention etc.
• Identification of domain expertise e.g. for social recruitment or expertise discovery
Social identity resolution & validation
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Nudge Along: changing user behaviours
Applications
This work benefits any company whichwishes to make sure that theircommunications with customersproduce the required or expectedoutcome. For example, the ability tochange user behaviour is of interest toany company that wishes to see theeffects of a marketing campaign, or acampaign to get staff to save energy intheir offices by switching off lights etc.
OverviewMeasuring the success of any analytics-driven project requires looking beyond the insights that are produced to ways in which these insights are communicated and delivered to ensure that behavioural change takes place
Beyond the desktopVoice-controlled access to KPIs
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Delivering value with CeADAR
Become a member
Propose new projects
Partner on projects
Evaluate demonstrators
Commission projects
Collaborate on H2020