Computational Behaviour Modelling for the Internet of ThingsFahim Kawsar
We are observing a monumental effort from the industry and academia to make everything connected. Naturally, to understand the needs of these connected things, we need a better understanding of humans and where, when, and how they interact. This behavioural understanding would help us to create digital services and capabilities that fundamentally change the way we experience our lives. In this talk, I will explore the system and algorithmic challenges in modelling human behaviour. I will discuss how mobile and wearable devices together with the wireless network can be used as a multi-sensory computational platform to learn and infer human behaviour and to design user-centred connected services across Enterprise, Urban City and Lifestyle.
Emotions Drive Better Video Performance - iiex 2014Realeyes
At iiEX, Sydney, Matt Newcomb from Realeyes presents how emotion analytics are used to optimise content, predict media performance and evaluate campaign effectiveness. He covers how Realeyes collects big data from collecting audience emotions via webcam and crunches the data in to insightful reports which enable clients to predict the social media performance of content and ultimately drives consumer behaviour.
In festive spirit Matt shows how the David Jones Christmas ad has made audiences even happier than the famous John Lewis "Monty the Penguin" ad which has been nominated as the best performing Christmas ad in the UK.
Data is just like your senses: only interesting when attached to a brain.
Key take-aways:
- Data - as such - is meaningless. It’s an eye seeing something. A contextless observation.
- Therefore, KPI dashboards are just meaningless data on one screen.
- The value of Big Data lies in the patterns and relations it holds.
- The problem is: there is a huge amount of patterns to be discovered.
- As a consequence a lot of processes could be enriched with data.
- The key is not to start with the data, but to start from the process you wish to enrich.
- You will only find answer in data when you’re asking specific questions.
Final report from Project HealthDesign Round One, which involved nine interdisciplinary teams collaborating with patients through a user-centered design process.
Computational Behaviour Modelling for the Internet of ThingsFahim Kawsar
We are observing a monumental effort from the industry and academia to make everything connected. Naturally, to understand the needs of these connected things, we need a better understanding of humans and where, when, and how they interact. This behavioural understanding would help us to create digital services and capabilities that fundamentally change the way we experience our lives. In this talk, I will explore the system and algorithmic challenges in modelling human behaviour. I will discuss how mobile and wearable devices together with the wireless network can be used as a multi-sensory computational platform to learn and infer human behaviour and to design user-centred connected services across Enterprise, Urban City and Lifestyle.
Emotions Drive Better Video Performance - iiex 2014Realeyes
At iiEX, Sydney, Matt Newcomb from Realeyes presents how emotion analytics are used to optimise content, predict media performance and evaluate campaign effectiveness. He covers how Realeyes collects big data from collecting audience emotions via webcam and crunches the data in to insightful reports which enable clients to predict the social media performance of content and ultimately drives consumer behaviour.
In festive spirit Matt shows how the David Jones Christmas ad has made audiences even happier than the famous John Lewis "Monty the Penguin" ad which has been nominated as the best performing Christmas ad in the UK.
Data is just like your senses: only interesting when attached to a brain.
Key take-aways:
- Data - as such - is meaningless. It’s an eye seeing something. A contextless observation.
- Therefore, KPI dashboards are just meaningless data on one screen.
- The value of Big Data lies in the patterns and relations it holds.
- The problem is: there is a huge amount of patterns to be discovered.
- As a consequence a lot of processes could be enriched with data.
- The key is not to start with the data, but to start from the process you wish to enrich.
- You will only find answer in data when you’re asking specific questions.
Final report from Project HealthDesign Round One, which involved nine interdisciplinary teams collaborating with patients through a user-centered design process.
Social network analysis: uncovering the secrets of information flow for our i...Mia Horrigan
Social network analysis: uncovering the secrets of information flow for our information architecture.
ozia09
Mia presents a case study in which she explores the use of Social Network Analysis (SNA) to model her users’ network and map the relationships between people, groups, organisations and information. She will explore how understanding the degrees of centrality and closeness in the network can uncover the flows of knowledge between users to create a deeper understanding reflected in Personas.
Agile Personas are "skinny" and are fleshed out as you uncover more information during the project.
Data analysis has transformed the way organizations and individuals make decisions. As the volume of data continues to grow exponentially, the need for data-driven insights has become increasingly critical. However, raw data, no matter how extensive, can often be overwhelming and challenging to interpret. This is where the concept of data storytelling comes into play. In this comprehensive exploration, we will delve into the essence of data storytelling, its significance in data analysis, the key elements that constitute an effective data story, and practical tips for implementing data storytelling techniques.
NTEN Your Analytics doesn't have to be dramatic to be usefulAndrew Patricio
My presentation at the 2024 NTEN conference in Portland, OR. I talk about practical approaches and benefits to deploying your analytics and reporting systems. Three high level themes:
1. Focus on people not the system, in particular make sure you start with hiring someone who understands your data before building your system. Data analytics augments human intuition not replaces it.
2. Make sure you start with your organizational vision to define your business outcomes to define your metrics and analytics to define your data. In other words make sure you are tracking relevant data
3. It is more about evolution not revolution. Data science is incremental not sudden.
Are research data management plans (RDMPs) failing to create the cultural change they are meant to inspire?
Katheryn Unsworth (ANDS-NECTAR-RDS)
Presented at eResearch Australasia October 2017
Social network analysis: uncovering the secrets of information flow for our i...Mia Horrigan
Social network analysis: uncovering the secrets of information flow for our information architecture.
ozia09
Mia presents a case study in which she explores the use of Social Network Analysis (SNA) to model her users’ network and map the relationships between people, groups, organisations and information. She will explore how understanding the degrees of centrality and closeness in the network can uncover the flows of knowledge between users to create a deeper understanding reflected in Personas.
Agile Personas are "skinny" and are fleshed out as you uncover more information during the project.
Data analysis has transformed the way organizations and individuals make decisions. As the volume of data continues to grow exponentially, the need for data-driven insights has become increasingly critical. However, raw data, no matter how extensive, can often be overwhelming and challenging to interpret. This is where the concept of data storytelling comes into play. In this comprehensive exploration, we will delve into the essence of data storytelling, its significance in data analysis, the key elements that constitute an effective data story, and practical tips for implementing data storytelling techniques.
NTEN Your Analytics doesn't have to be dramatic to be usefulAndrew Patricio
My presentation at the 2024 NTEN conference in Portland, OR. I talk about practical approaches and benefits to deploying your analytics and reporting systems. Three high level themes:
1. Focus on people not the system, in particular make sure you start with hiring someone who understands your data before building your system. Data analytics augments human intuition not replaces it.
2. Make sure you start with your organizational vision to define your business outcomes to define your metrics and analytics to define your data. In other words make sure you are tracking relevant data
3. It is more about evolution not revolution. Data science is incremental not sudden.
Are research data management plans (RDMPs) failing to create the cultural change they are meant to inspire?
Katheryn Unsworth (ANDS-NECTAR-RDS)
Presented at eResearch Australasia October 2017
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
9. It is a proven fact that human brain understands
visual information better and faster
10. 90 percent of information transmitted to the brain is
visual
11. Visual information is simply more effective, which
in turn makes complex data more accessible and
creates a better connect with audience
12. Hence, it demands a certain amount of trust and in
turn improves the credibility of the presenter
13. Managers and data scientists benefit the most out
of it as they are on the presenting side most of the
time
14. By leveraging the power of visualizations they can
add meaning and narrative to huge amounts of
data and take control of the information that
surrounds them