Cannes Lions Innovation, unlocking mobile personalisation using sensorsFilip Maertens
As smartphones and wearables are packed with sensors and computing power, they introduce a new type of data: sensor data that contains realtime and accurate observations of the world around a mobile user.
With the Internet of Everything booming, our homes, cars and phones are increasingly interconnected, as they become valuable channels to interact with the world around us in new and more intelligent ways.
Our increasingly sensor equipped world brings us the opportunity of a growing level of ambient intelligence that is capable of understanding and predicting human behavior, emotions and context, so that mobile applications can engage with us in a proactive and hyperpersonalized manner.
Argus Labs' technology renders mobile devices into sensing, intelligent and feeling devices. Learn how this revolution has started and what the near future holds. Already today...
When smart-phones sense how you feel: The era of intelligent mobile devices -...Internet World
Mobile Theatre - June 17th, 12:30-13:00
Argus Labs uses deep learning algorithms to sense, understand and predict human behaviour and emotions, based on the sensors in a smart-phone and general usage of a smart-phone. The presentation will demonstrate how smart-phones will start to behave as intelligent entities that know how a user feels and improve our lives.
Sentiance: from Mobile Data to Smart LifeSentiance
As we transitioned out of the ‘labs’ phase into a market-ready product, raised $US 2M and expanded the management team, we decided to change the name to better reflect our mission statement from mobile data to smart life. Here are the must knows.
Making your smartphone truly intelligent with SentianceSentiance
Sentiance can make your smartphone truly intelligent. We unlock contextual mobile experiences by mining sensor data on smartphones, wearables and connected devices. This enables companies worldwide to tap into a new level of mobile personalization and engagement. From mobile data to smart life.
The recent convergence of portable devices have led to the rise of a new trend which I have termed the “Mobilitization of Things” or MoT for short. At Frost & Sullivan, we believe this trend could become the harbinger for new disruptive business models and computing practices especially in the ICT sector.
Big Tech wants us to start wearing their AR wearables. It will make it even more difficult to escape from their 'surveillance capitalism'. This presentation explains how we can avoid this situation with DIY AI
Cannes Lions Innovation, unlocking mobile personalisation using sensorsFilip Maertens
As smartphones and wearables are packed with sensors and computing power, they introduce a new type of data: sensor data that contains realtime and accurate observations of the world around a mobile user.
With the Internet of Everything booming, our homes, cars and phones are increasingly interconnected, as they become valuable channels to interact with the world around us in new and more intelligent ways.
Our increasingly sensor equipped world brings us the opportunity of a growing level of ambient intelligence that is capable of understanding and predicting human behavior, emotions and context, so that mobile applications can engage with us in a proactive and hyperpersonalized manner.
Argus Labs' technology renders mobile devices into sensing, intelligent and feeling devices. Learn how this revolution has started and what the near future holds. Already today...
When smart-phones sense how you feel: The era of intelligent mobile devices -...Internet World
Mobile Theatre - June 17th, 12:30-13:00
Argus Labs uses deep learning algorithms to sense, understand and predict human behaviour and emotions, based on the sensors in a smart-phone and general usage of a smart-phone. The presentation will demonstrate how smart-phones will start to behave as intelligent entities that know how a user feels and improve our lives.
Sentiance: from Mobile Data to Smart LifeSentiance
As we transitioned out of the ‘labs’ phase into a market-ready product, raised $US 2M and expanded the management team, we decided to change the name to better reflect our mission statement from mobile data to smart life. Here are the must knows.
Making your smartphone truly intelligent with SentianceSentiance
Sentiance can make your smartphone truly intelligent. We unlock contextual mobile experiences by mining sensor data on smartphones, wearables and connected devices. This enables companies worldwide to tap into a new level of mobile personalization and engagement. From mobile data to smart life.
The recent convergence of portable devices have led to the rise of a new trend which I have termed the “Mobilitization of Things” or MoT for short. At Frost & Sullivan, we believe this trend could become the harbinger for new disruptive business models and computing practices especially in the ICT sector.
Big Tech wants us to start wearing their AR wearables. It will make it even more difficult to escape from their 'surveillance capitalism'. This presentation explains how we can avoid this situation with DIY AI
The developments in the field of AR hardware are having an effect on the type of software we'll be confronted with in the next 10 years. As an individual, and as society. What are the choices we have in this?
Where Buying IoT Stocks? An effective guide to Innovations ScoutingAtooma Inc
Where buying IoT Stocks? In this guide we are going to define the correct process to start while looking for innovation in technology. The Internet of Things is a tricky space and only a precise and analytic job can reward. In this guide there are the steps you should take to be successfull
The Internet Of Everything - How To Make It SmarterAtooma Inc
Companies really know the importance to enter the IoT space today because, if you don't do it.... you'll lose against your competitors.
But, nowadays, they rely on static Apps and products that not really interact with user lives. As a result, users are not engaged and IoT products don't scale.
Giving an example, insurance apps are only showcases of personal data, with simple connections to social networks and nothing more. This can’t be called IoT.
How can companies leverage the IoE and Big Data capabilities in order to better profile users, enhance his Company’s Digital strategy and win the IoT battle against the competitors?
Here's the answer.
Slides from my talk at AWE2014.
Youtube video is available here - http://youtu.be/OxKC1AyZ26U
I took 15 minutes to cover a few fun topics.. contextually aware apps, embedded sensors, wearables, the internet of things, quantified self movement, feedback loops, privacy vs transparency, AR UI/UX, HMD's, smart homes, pervasive gaming, and ambient intelligence.
Nikolas Perrault | Artificial Intelligence Trends for 2019Nikolas Perrault
Nikolas Perrault discusses some of the most important and influential artificial intelligence trends for 2019. These include more smart technology and advanced uses for AI in everyday life.
Originally published on NikolasPerrault.com
MEDINFO 2013 Panel on Personalized Healthcare and Adherence: Issues and Chall...Pei-Yun Sabrina Hsueh
Venue: The 14th World Congress on Medical and Health Informatics will take place in Copenhagen, Denmark.
http://medinfo2013.dk
Moderator: Dr. Marion Ball (IBM Research/JHU); Panelists: Dr. Vimla Patel (NYAM), Dr. Bern Shen (Healthcrowd), Dr. Pei-Yun Sabrina Hsueh (IBM Research)
Organizer: Dr. Pei-Yun Sabrina Hsueh (phsueh@us.ibm.com)
Personalization is key to the delivery of wellness care including preventive measures and disease management regimes, where patients take on increased responsibility for
their own health. While personalized care has already taken a giant leap through genomics, it remains a challenge to understand how individual differences play a role in patient adherence and manage recommended changes accordingly.
Practical methods of creating and evaluating personalized
systems have not been fully established. In particular, the role of data-driven analytics in producing actionable insights for practitioners is unclear, and the use of behavioral data has created additional challenges to the understanding of patient adherence for effective care delivery.
The panel will discuss the challenges that face many countries around personalized care from various perspectives. These range from behavioral aspects such as maintaining good practices, cognitive aspects such as how do individuals make decisions in the lights of good evidence, social aspects such as how to engage patients in sustaining adherence behavior, to technological aspects such as how to evaluate individual applicability of data-driven analytics and personalized technological systems.
The panel is expected to contribute to the global community by presenting lessons learned from
existing pilot designs and a collective list of recommendations for pilot design of personalized services at the conclusion of this panel.
Using data to design personalized customer experiences CXAileen Cahill
At the intersection of “Big Data” and the Big Blender – Ad Tech + Mar Tech – lies growth & competitive advantage, harkening in the era of personalization and customer experience design.
Breakthrough marketing begins by harnessing omnichannel customer insights. Using data-driven insights to design, inform & deploy your Customer Relationship Marketing, creative & media mix is where breakthrough marketing happens! A holistic view of the customer informing CX, over time, across channels and devices. Creating personalized experiences that result in long-term, high-value customer relationships.
Customer’s are in the driver’s seat! With complete information at their fingertips and numerous choices, “one size fits all” product-centered marketing is the by gone era of Mad Men.
In this presentation to the Argyle CMO Forum, Dr Volker G. Hildebrand, SAP Hybris talks "Rethinking Personlization" into the core capabilities in developing an individualized personalization strategy in which customers are identified and treated as individuals.
江振宇/It's Not What You Say: It's How You Say It!台灣資料科學年會
Chen-Yu Chiang was born in Taipei, Taiwan, in 1980. He received the B.S., M.S., Ph.D. degrees in communication engineering from National Chiao Tung University (NCTU), Hsinchu, Taiwan, in 2002, 2004, and 2009, respectively. In 2009, he was a Postdoctoral Fellow at the Department of Electrical Engineering, NCTU, where he primarily worked on prosody modeling for automatic speech recognition and text-to-speech system, under the guidance of Prof. Sin-Horng Chen. In 2012, he was a Visiting Scholar at the Center for Signal and Image Processing (CSIP), Georgia Institute of Technology, Atlanta. Currently he is the director of the Speech and Multimedia Signal Processing Lab and an assistant professor at the Department of Communication Engineering, National Taipei University. His main research interests are in speech processing, in particular prosody modeling, automatic speech recognition and text-to-speech systems.
The developments in the field of AR hardware are having an effect on the type of software we'll be confronted with in the next 10 years. As an individual, and as society. What are the choices we have in this?
Where Buying IoT Stocks? An effective guide to Innovations ScoutingAtooma Inc
Where buying IoT Stocks? In this guide we are going to define the correct process to start while looking for innovation in technology. The Internet of Things is a tricky space and only a precise and analytic job can reward. In this guide there are the steps you should take to be successfull
The Internet Of Everything - How To Make It SmarterAtooma Inc
Companies really know the importance to enter the IoT space today because, if you don't do it.... you'll lose against your competitors.
But, nowadays, they rely on static Apps and products that not really interact with user lives. As a result, users are not engaged and IoT products don't scale.
Giving an example, insurance apps are only showcases of personal data, with simple connections to social networks and nothing more. This can’t be called IoT.
How can companies leverage the IoE and Big Data capabilities in order to better profile users, enhance his Company’s Digital strategy and win the IoT battle against the competitors?
Here's the answer.
Slides from my talk at AWE2014.
Youtube video is available here - http://youtu.be/OxKC1AyZ26U
I took 15 minutes to cover a few fun topics.. contextually aware apps, embedded sensors, wearables, the internet of things, quantified self movement, feedback loops, privacy vs transparency, AR UI/UX, HMD's, smart homes, pervasive gaming, and ambient intelligence.
Nikolas Perrault | Artificial Intelligence Trends for 2019Nikolas Perrault
Nikolas Perrault discusses some of the most important and influential artificial intelligence trends for 2019. These include more smart technology and advanced uses for AI in everyday life.
Originally published on NikolasPerrault.com
MEDINFO 2013 Panel on Personalized Healthcare and Adherence: Issues and Chall...Pei-Yun Sabrina Hsueh
Venue: The 14th World Congress on Medical and Health Informatics will take place in Copenhagen, Denmark.
http://medinfo2013.dk
Moderator: Dr. Marion Ball (IBM Research/JHU); Panelists: Dr. Vimla Patel (NYAM), Dr. Bern Shen (Healthcrowd), Dr. Pei-Yun Sabrina Hsueh (IBM Research)
Organizer: Dr. Pei-Yun Sabrina Hsueh (phsueh@us.ibm.com)
Personalization is key to the delivery of wellness care including preventive measures and disease management regimes, where patients take on increased responsibility for
their own health. While personalized care has already taken a giant leap through genomics, it remains a challenge to understand how individual differences play a role in patient adherence and manage recommended changes accordingly.
Practical methods of creating and evaluating personalized
systems have not been fully established. In particular, the role of data-driven analytics in producing actionable insights for practitioners is unclear, and the use of behavioral data has created additional challenges to the understanding of patient adherence for effective care delivery.
The panel will discuss the challenges that face many countries around personalized care from various perspectives. These range from behavioral aspects such as maintaining good practices, cognitive aspects such as how do individuals make decisions in the lights of good evidence, social aspects such as how to engage patients in sustaining adherence behavior, to technological aspects such as how to evaluate individual applicability of data-driven analytics and personalized technological systems.
The panel is expected to contribute to the global community by presenting lessons learned from
existing pilot designs and a collective list of recommendations for pilot design of personalized services at the conclusion of this panel.
Using data to design personalized customer experiences CXAileen Cahill
At the intersection of “Big Data” and the Big Blender – Ad Tech + Mar Tech – lies growth & competitive advantage, harkening in the era of personalization and customer experience design.
Breakthrough marketing begins by harnessing omnichannel customer insights. Using data-driven insights to design, inform & deploy your Customer Relationship Marketing, creative & media mix is where breakthrough marketing happens! A holistic view of the customer informing CX, over time, across channels and devices. Creating personalized experiences that result in long-term, high-value customer relationships.
Customer’s are in the driver’s seat! With complete information at their fingertips and numerous choices, “one size fits all” product-centered marketing is the by gone era of Mad Men.
In this presentation to the Argyle CMO Forum, Dr Volker G. Hildebrand, SAP Hybris talks "Rethinking Personlization" into the core capabilities in developing an individualized personalization strategy in which customers are identified and treated as individuals.
江振宇/It's Not What You Say: It's How You Say It!台灣資料科學年會
Chen-Yu Chiang was born in Taipei, Taiwan, in 1980. He received the B.S., M.S., Ph.D. degrees in communication engineering from National Chiao Tung University (NCTU), Hsinchu, Taiwan, in 2002, 2004, and 2009, respectively. In 2009, he was a Postdoctoral Fellow at the Department of Electrical Engineering, NCTU, where he primarily worked on prosody modeling for automatic speech recognition and text-to-speech system, under the guidance of Prof. Sin-Horng Chen. In 2012, he was a Visiting Scholar at the Center for Signal and Image Processing (CSIP), Georgia Institute of Technology, Atlanta. Currently he is the director of the Speech and Multimedia Signal Processing Lab and an assistant professor at the Department of Communication Engineering, National Taipei University. His main research interests are in speech processing, in particular prosody modeling, automatic speech recognition and text-to-speech systems.
Yi-Hsuan Yang is an Associate Research Fellow with Academia Sinica. He received his Ph.D. degree in Communication Engineering from National Taiwan University in 2010, and became an Assistant Research Fellow in Academia Sinica in 2011. He is also an Adjunct Associate Professor with the National Tsing Hua University, Taiwan. His research interests include music information retrieval, machine learning and affective computing. Dr. Yang was a recipient of the 2011 IEEE Signal Processing Society (SPS) Young Author Best Paper Award, the 2012 ACM Multimedia Grand Challenge First Prize, and the 2014 Ta-You Wu Memorial Research Award of the Ministry of Science and Technology, Taiwan. He is an author of the book Music Emotion Recognition (CRC Press 2011) and a tutorial speaker on music affect recognition in the International Society for Music Information Retrieval Conference (ISMIR 2012). In 2014, he served as a Technical Program Co-chair of ISMIR, and a Guest Editor of the IEEE Transactions on Affective Computing and the ACM Transactions on Intelligent Systems and Technology.
Prior to the start of the new year we published our 2017 trend framework (http://engage.epsilon.com/top-trends-for-2017) this document sets the foundation for how we identify macro trend territories that have the highest probability of creating new behaviors and empower consumers through the lens of Connection, Cognition & Immersion in the near future.
CES 2017 was our first opportunity to further validate the territories but more importantly identify some of the key tech trends that will have a major impact on marketing over the next few years. In the attached document you will find an in-depth review of key trends such as the impact a connected product ecosystem and how Alexa Voice Services are quickly positioning to scale quickly through 3rd party integrations. You will also find examples of new types of interfaces and input devices that may further lead to an ambient computing future.
2017 is also the turning point from “everything will be connected” to everything will be cognified”. The impact of artificial intelligence will be a big topic in 2017 and Epsilon is uniquely positioned to capitalize (look for more on this topic on January 19th via an industry AI op-ed). CES validated the idea of pervasive cognition as well as advancements via contextual assistants and object recognition. The rapidly developing immersion ecosystem built on full sensory immersion, spatial freedom and alternative interfaces also caught our attention.
AIoT stands for AI+IoT, which refers to the integration of artificial intelligence technology and the Internet of Things in practical applications. At present, more and more industries and applications combine AI and IoT. AIoT has become the best channel for the intelligent upgrade of major traditional industries and an important direction for the development of the Internet of Things in the future.
JyotPrakash Gugnani, Student of sem 2 from department of journalism and mass communication, JIMS Vasant Kunj II talk about Areas of Artificial Intelligence. Have a Look!! For more updates: visit: jimssouthdelhi.com
Artificial intelligence of things(AIoT): What is AIoT: AIoT applicationsAnusha Aravindan
AIoT(Artificial intelligence of things) is a relatively new term and has recently become a hot topic which combines two of the hottest acronyms AI( Artificial intelligence) and Internet of things (IoT)
The research highlights 200 emerging technologies and developments that could have an impact on society and business over the next 10-15 years. The technologies have been grouped under 10 categories:
1. End User Devices, Tools and Trends
2. Interfaces and Displays
3. Internet and Social Media
4. Communications, Collaboration and Networking Tools and Developments
5. Software Tools, Techniques and Trends
6. Artificial Intelligence (AI) and Intelligent Systems
7. Computing Technology and Devices
8. Management and Analysis of Data, Information and Knowledge
9. Security Technology
10. Disruptive Scientific Developments
SixthSense is a name for extra information supplied by a wearable computer, such as the device called EyeTap (Mann), Telepointer (Mann), and "WuW" (Wear yoUr World) by Pranav Mistry
What if Things Start to Think - Artificial Intelligence in IoTMuralidhar Somisetty
Artificial intelligence will be functionally necessary to wield the vast number of connected “things” online, and will be even more important in making sense of an almost endless sea of data streamed in from these devices.
3. A perfect storm is coming
@arguslabs
IOT
AI
Mobile
Sensors
User acceptance
4. The Mobile & Internet of Things Everything storm
Wearable
30B by 2018
Smart Appliances
US$ 290B by 2018
Apps
BILLIONS
Cars
DISRUPTED
@arguslabs
The coming era of smart-phone intelligence will allows any
human to interact with the physical world in completely new ways
5. The sensor storm: sensors are everywhere
Sensors are a device’s equivalent to possessing human-like sensing
capabilities and allow to sense and understand contextual cues.
Automatic gender detection, through walking patterns
Mood detection, through mobile handling
Activity detection (walking, running, sitting, …)
…
Automatic in- versus outdoor detection
Mood detection, through heart rate and oxygen level detection
…
@arguslabs
6. The data and AI storm
Activity of spiny stellate neuron part of primary visual
cortex, with developed horizontally-oriented receptive
field
Recent Artificial Intelligence breakthroughs are based on computational models
of the human brain.
With the worldwide adoption of smart-phones, data generation has exploded
while processing capabilities have never been as powerful as today.
500+ TB
200+ TB
700+ TB
@arguslabs
8. A phone or interconnected sensory device ?
2000
Verbal
2014
Non
verbal
9. User experiences are changing
Intelligent capabilities need to be interfacing with the end user, as
an overall service layer. Good privacy controls are required, but
most importantly added value must be shown through the use of
intelligent and sensing apps.
This might feel strange today, but remember the last time you didn’t
allow this?
10. Apps are changing
Service layers are emerging as background apps that only
interface with a mobile users when it’s really relevant.
12. A phone is only a form factor
The functionality of a smart-phone will come in many
shapes and functionalities.
Already a first generation of smart wearable devices
illustrate how this might go.
13. Your smart-phone is a docking station
Due to increasing processing and connectivity capabilities, your smart-phone will be a
hub and controller that will be used to gather and control data from other connected
devices, implants, or wearable devices.
Emerging fog computing architectures are only a prelude.
Important channel for handling, analyzing and processing data.
Controls the user experience.
15. Your smart-phone is a
smart agent
Capable of interpreting the context of a mobile user
a smart-phone is capable of responding to the
needs of said user in a proactive manner.
17. What if we told you, your phone could
already be empathic ?
18. Turning smart-phones into sentient, cognitive and
empathic devices.
Make a better future by augmenting the cognitive
capacities of humans by means of an exocortex.
If we want machines to start working for us, they need to understand us, in order to become truly engaging.
19. We did it !
The first time ever people can start making machines and software
cognitive and emotionally aware of their human users
20. It’s a service layer
Cognitive platform through SDK and API
Handling > 1 million requests per second
Ambient sensing technology (no input needed)
Android, IOS*, Microsoft Mobile** & Tizen**
Built for mobile and embedded devices
Proprietary IP and patented
Now, anyone can use the human channel
*
Being
ported/tested
**
Por0ng
started
21.
22. Self-learning
biking – running – depression – stress – happy – excited – petrol
head – soccer mom – car – party – music – meeting room – busy
day – and much, much more
25. The future of mobile
Is fueled by artificial intelligence and empathic algorithms and will
transform your future as if you could never have imagined !
26.
27. Argus Labs – ASK FOR A DEMO
http://www.arguslabs.be w @arguslabs