Fi Dairy Innovatrion Conference, Amsterdam dec2014Krijn Poppe
Connecting the consumer and producer in dairy, measuring sustainability, ICT for data transfer and research infrastructure to investigate consumer behaviour
Food Nutrition Health RI presented at IAAE VancouverKrijn Poppe
Presentation of the Food Nutrition and Health Research Infrastructure, as developed in European projects EuroDISH and Richfields, for the IAAE Conference 2018 in Vancouver
How will food and everything related to food will look like in future? What role will technology and innovation play in making people more conscious about what they eat?
What will be the food ecosystem of the future?
The current generation is getting health conscious and the same has been started reflecting in all the new age innovations.
In this report by the Institute of Customer Experience (ICE), we explore how the ecosystem around food will evolve and what are the key signals around this ecosystem.
Fi Dairy Innovatrion Conference, Amsterdam dec2014Krijn Poppe
Connecting the consumer and producer in dairy, measuring sustainability, ICT for data transfer and research infrastructure to investigate consumer behaviour
Food Nutrition Health RI presented at IAAE VancouverKrijn Poppe
Presentation of the Food Nutrition and Health Research Infrastructure, as developed in European projects EuroDISH and Richfields, for the IAAE Conference 2018 in Vancouver
How will food and everything related to food will look like in future? What role will technology and innovation play in making people more conscious about what they eat?
What will be the food ecosystem of the future?
The current generation is getting health conscious and the same has been started reflecting in all the new age innovations.
In this report by the Institute of Customer Experience (ICE), we explore how the ecosystem around food will evolve and what are the key signals around this ecosystem.
Product Service System Design Master Thesis: A future vision of data-driven h...Ying Wang
With the growing trends of globalization and population aging, international traveling and after-retirement traveling are becoming more and more common. The purpose of this study is to investigate the effects of new technologies on travelers’ safety and health. It is often difficult for travelers to understand and choose from a wide variety of local food with unfamiliar spices and flavors. Moreover, travelers tend to be under high risk of getting food allergies and other food related problems. This severely prevents travelers’ willingness to explore indigenous cuisines. I generated two ideas to relieve their concern: providing them with per-selected information based on both environmental data and their real-time body data; and including suggestions from previous visitors and local dwellers filtered by specific cultural background to better fit individual’s taste. The output of this research is a vision called “Eatin”, a data-driven and human-powered food suggestion service, which supports travelers to make smart choices among the local healthy food. Based on travelers’ health condition, preferences and activities, the service creates a customized food suggestion list and offers detailed information about certain food such as its ingredients, nutritive properties, and related culture.
This blog post aims to explore the powerful synergy that exists at the intersection of food science, technology, and animal science, unraveling the positive possibilities that arise from their collaboration.
Se application notes_smarthomes_foodscanAnne Stiegler
APP NOTE AcalBFI / SpectralEngines : SMART HOMES - Spectral Engines’ award-winning Food Scan technology combines affordable material sensors and cloud computing. Future smart home appliance will tell about the food you consume.
GENOMIC INTELLIGENCE
Applying biological information, scientific data and technological capability to develop personalised and precise health solutions.
Suisse Life Science is a biological big data analytics company that has developed a knowledge-discovery platform to extract cause-effect relationships directly from genetic interpretation – and at scale – linking them to lifestyle data from consumer devices in real time to provide actionable recommendations.
Our goal is to leverage these capabilities to transform health from an expert-driven field – with poor predictive power and large gaps in its fundamental understanding of human biology – and transforming it into a data-driven predictive science that makes it as easy as possible for individuals of all ages to take a more active role in managing their health.
TRANSFORMING THE DELIVERY OF GENETIC SERVICES
MAKE DNA DATA ACTIONABLE
Suisse Life Science’s Genomic Intelligence technology uncovers specific health & wellness recommendations from DNA and connects them to living data from consumer devices — after intelligent, personalised analysis of the cause and effect relationships from the most validated scientific literature available — to make DNA actionable for both lasting, behavioural population health intervention and personalised insights.
ISDM February 2022 E-Newsletter
Digital Therapeutics, AI, Virtual Reality, Nutrition and Healthy Ageing
Digital Therapeutics and Immersive Technologies
Digital Health, Nutrition and Healthy Ageing
Tripp Digital Therapeutics Virtual Reality
CAR-T Therapies Webinar
How AI is Enhancing Personal Development IORMA Webinar
Hospitals, Technology and the Patient IORMA Webinar
Strengthening Health Systems in Africa Zenith Global Health Conference
Royal Society of Medicine Upcoming Webinars
Digital Medicine Journal Special Edition
Future Events Program and Speaker Invitations
As we are approaching an end to the restrictions associated with COVID-19, it seems a good time to reflect on the disruptions and focus on how technology might be applied to avoid the same situation happening again. It is almost inevitable, in my opinion, that our pre-COVID lifestyles and travel/mobility will almost certainly lead to future pandemics and whilst the lessons learnt in fast-tracking clinical research and development of new drugs and vaccines will help to mitigate the situation, it does not alter the pressing need to shift focus from cure to prevention.
Digital Health and Digital Therapeutics technologies can help to protect the future sustainability of public health services through personal physical and mental health management whilst Digital Medicine will enable early detection of clinical problems and a range of innovative new solutions for cures.
This month’s E-Newsletter includes details of previous and upcoming events where the focus has been on addressing some of the challenges of preventative healthcare, especially in the area of the Ageing Society. Links to archived presentations and future events are included and we hope you will enjoy the past presentations and register for some of the upcoming events.
Twenty million wearable devices were sold last year and over 10% of the US population now has a wearable. And, we expect wearables to top many wish-lists this holiday season. Wearable adoption is well past the early adopter phase and is going mainstream with health and fitness devices leading the way. People want to track and quantify their exercise patterns, and feel that these devices help motivate them to exercise more. And, this is just the beginning.
The Nutrition Security Challenge – Assessing Sustainable Nutrition Security
The world faces an escalating challenge to meet accelerating demand (driven by both increasing population and per-capita income growth) for sustainable, nutritious food in the face of multiple constraints – climate change, human population pressure, local and global resource scarcity, and ecosystem preservation (Freibauer et al., 2011). About one billion people in the world live in conditions of poverty and lack sufficient food (FAO, 2013a). In addition, about two billion people already suffer from a number of micronutrient deficiencies (WHO, 2000). These deficiencies may worsen due to increasing atmospheric CO2, which not only drives climate change but also lowers crop concentrations of zinc and iron (Myers et al., 2014). Inadequate intake or nutrient utilization may also result from situations of poor sanitation and hygiene.
FoodTech 101: A beginner’s guide to the future of foodAlexander Clifford
The FoodTech industry is experiencing rapid growth, transforming not only hospitality establishments like bakeries and restaurants but also the food in our home fridges. Businesses are leveraging innovative thinking to overhaul how food is being distributed, manufactured, marketed, and consumed. Investors are directing their attention towards FoodTech startups, and the UK is witnessing a surge in food technology activity, driven by increasing demand.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Product Service System Design Master Thesis: A future vision of data-driven h...Ying Wang
With the growing trends of globalization and population aging, international traveling and after-retirement traveling are becoming more and more common. The purpose of this study is to investigate the effects of new technologies on travelers’ safety and health. It is often difficult for travelers to understand and choose from a wide variety of local food with unfamiliar spices and flavors. Moreover, travelers tend to be under high risk of getting food allergies and other food related problems. This severely prevents travelers’ willingness to explore indigenous cuisines. I generated two ideas to relieve their concern: providing them with per-selected information based on both environmental data and their real-time body data; and including suggestions from previous visitors and local dwellers filtered by specific cultural background to better fit individual’s taste. The output of this research is a vision called “Eatin”, a data-driven and human-powered food suggestion service, which supports travelers to make smart choices among the local healthy food. Based on travelers’ health condition, preferences and activities, the service creates a customized food suggestion list and offers detailed information about certain food such as its ingredients, nutritive properties, and related culture.
This blog post aims to explore the powerful synergy that exists at the intersection of food science, technology, and animal science, unraveling the positive possibilities that arise from their collaboration.
Se application notes_smarthomes_foodscanAnne Stiegler
APP NOTE AcalBFI / SpectralEngines : SMART HOMES - Spectral Engines’ award-winning Food Scan technology combines affordable material sensors and cloud computing. Future smart home appliance will tell about the food you consume.
GENOMIC INTELLIGENCE
Applying biological information, scientific data and technological capability to develop personalised and precise health solutions.
Suisse Life Science is a biological big data analytics company that has developed a knowledge-discovery platform to extract cause-effect relationships directly from genetic interpretation – and at scale – linking them to lifestyle data from consumer devices in real time to provide actionable recommendations.
Our goal is to leverage these capabilities to transform health from an expert-driven field – with poor predictive power and large gaps in its fundamental understanding of human biology – and transforming it into a data-driven predictive science that makes it as easy as possible for individuals of all ages to take a more active role in managing their health.
TRANSFORMING THE DELIVERY OF GENETIC SERVICES
MAKE DNA DATA ACTIONABLE
Suisse Life Science’s Genomic Intelligence technology uncovers specific health & wellness recommendations from DNA and connects them to living data from consumer devices — after intelligent, personalised analysis of the cause and effect relationships from the most validated scientific literature available — to make DNA actionable for both lasting, behavioural population health intervention and personalised insights.
ISDM February 2022 E-Newsletter
Digital Therapeutics, AI, Virtual Reality, Nutrition and Healthy Ageing
Digital Therapeutics and Immersive Technologies
Digital Health, Nutrition and Healthy Ageing
Tripp Digital Therapeutics Virtual Reality
CAR-T Therapies Webinar
How AI is Enhancing Personal Development IORMA Webinar
Hospitals, Technology and the Patient IORMA Webinar
Strengthening Health Systems in Africa Zenith Global Health Conference
Royal Society of Medicine Upcoming Webinars
Digital Medicine Journal Special Edition
Future Events Program and Speaker Invitations
As we are approaching an end to the restrictions associated with COVID-19, it seems a good time to reflect on the disruptions and focus on how technology might be applied to avoid the same situation happening again. It is almost inevitable, in my opinion, that our pre-COVID lifestyles and travel/mobility will almost certainly lead to future pandemics and whilst the lessons learnt in fast-tracking clinical research and development of new drugs and vaccines will help to mitigate the situation, it does not alter the pressing need to shift focus from cure to prevention.
Digital Health and Digital Therapeutics technologies can help to protect the future sustainability of public health services through personal physical and mental health management whilst Digital Medicine will enable early detection of clinical problems and a range of innovative new solutions for cures.
This month’s E-Newsletter includes details of previous and upcoming events where the focus has been on addressing some of the challenges of preventative healthcare, especially in the area of the Ageing Society. Links to archived presentations and future events are included and we hope you will enjoy the past presentations and register for some of the upcoming events.
Twenty million wearable devices were sold last year and over 10% of the US population now has a wearable. And, we expect wearables to top many wish-lists this holiday season. Wearable adoption is well past the early adopter phase and is going mainstream with health and fitness devices leading the way. People want to track and quantify their exercise patterns, and feel that these devices help motivate them to exercise more. And, this is just the beginning.
The Nutrition Security Challenge – Assessing Sustainable Nutrition Security
The world faces an escalating challenge to meet accelerating demand (driven by both increasing population and per-capita income growth) for sustainable, nutritious food in the face of multiple constraints – climate change, human population pressure, local and global resource scarcity, and ecosystem preservation (Freibauer et al., 2011). About one billion people in the world live in conditions of poverty and lack sufficient food (FAO, 2013a). In addition, about two billion people already suffer from a number of micronutrient deficiencies (WHO, 2000). These deficiencies may worsen due to increasing atmospheric CO2, which not only drives climate change but also lowers crop concentrations of zinc and iron (Myers et al., 2014). Inadequate intake or nutrient utilization may also result from situations of poor sanitation and hygiene.
FoodTech 101: A beginner’s guide to the future of foodAlexander Clifford
The FoodTech industry is experiencing rapid growth, transforming not only hospitality establishments like bakeries and restaurants but also the food in our home fridges. Businesses are leveraging innovative thinking to overhaul how food is being distributed, manufactured, marketed, and consumed. Investors are directing their attention towards FoodTech startups, and the UK is witnessing a surge in food technology activity, driven by increasing demand.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Intro - Three pillars for building a Smart Data Ecosystem: Trust, Security an...Big Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
Three pillars for building a Smart Data Ecosystem: Trust, Security and PrivacyBig Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
Market into context - Three pillars for building a Smart Data Ecosystem: Trus...Big Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
BDV Skills Accreditation - Future of digital skills in Europe reskilling and ...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BDV Skills Accreditation - Recognizing Data Science Skills with BDV Data Scie...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
EIT label intro by Rroberto Prieto
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
Muluneh Oli (EIT Digital)
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BDV Skills Accreditation - Definition and ensuring of digital roles and compe...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector WebinarBig Data Value Association
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BDV PPP projects I-BiDaaS, BigDataStack, Track & Know and Policy Cloud deliver innovative technologies to address the emerging needs of data operations and applications. To fully exploit the sustainability and take full advantage of the developed technologies, the projects onboarded pilots that exhibit their applicability in a wide variety of sectors. In the Big Data Pilot Demo Days, the projects will showcase the developed and implemented technologies to interested end-users from the industry as well as technology providers, for further adoption.
One of the main goals of the I-BiDaaS project is to provide a Big Data as a self-service solution that will empower the actual employees of European companies in targeted sectors (banking, manufacturing, telecom), i.e., the true decision-makers, with the insights and tools they need in order to make the right decisions in an agile way. In this big data pilot webinar, we will demonstrate in a step by step fashion the I-BiDaaS self-service solution and its application to the banking sector. In more detail, we will present an overview of the I-BiDaaS project focusing on the requirements of the CaixaBank pilot study, the I-BiDaaS architecture with its core technologies, and a step by step demo of the I-BiDaaS solution. Last but not least, we will show through CaixaBank's success story how I-BiDaaS can resolve data availability, data sharing, and breaking silos challenges in the banking domain.
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
Virtual BenchLearning - I-BiDaaS - Industrial-Driven Big Data as a Self-Servi...Big Data Value Association
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.
Policy Cloud Data Driven Policies against Radicalisation - Participatory poli...Big Data Value Association
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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.
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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.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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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.
1. Data as the future food
Prof Nesli Sözer
25/10/2019 VTT – beyond the obvious
https://www.tcmworld.org/humans-food-connection-universe/
2. Food 4.0 is about personalization
➢Consumers have more power
➢to decide what food fits their body and
values
➢to select products and delivery ways that fit
their lifestyle
➢Consumers are more active partners of
the food system
➢to share their preferences & needs
➢to modify food options and influence
production to support their individual
choices
3. 25.10.2019 VTT – beyond the obvious 3
DATA
SERVICES
SUSTAINABILITY
CONVENIENCE
NUTRITION
SAFE
PRICE
TASTE
Must factors in food
Growth lays in data driven
efficacy, new added values,
services
4. Ingredient
technologies
25/10/2019 VTT – beyond the obvious
Smart Food
Platforms &
Crowds
Hyper-local
sourcing &
distribution
Hyper-
personalization
”Data is the fuel and analytics is the engine” of smart
and sustainable food production!
5. Food cycle is empowered by new
technologies & digitalization
Agile food
manufacturing
Ingredient
4.0
Solutions at
consumer interface
Se
Robotics,IoT,
AI, smart
logistics and
packaging
Circular
systems,
farming
tech,
synthetic
biology, AI
Self monitoring,
sensing, MyData, AI,
AR/VR
6. Sensorization of things is the key towards
hyper-personalizated food
25/10/2019 VTT – beyond the obvious
I MADE IT! MADE FOR ME!
7. Sensorization of things: FOOD
25/10/2019 VTT – beyond the obvious
➢ Tellspec combines spectroscopy and learning
algorithms to analyze the chemical composition of
simple foods.
➢ Tellspec identifies calories, macronutrients, and
allergens in foods, as well as specific nutritional
information such as glycemic index and dietary fibre.
➢ The information is displayed in an easy-to-
understand interface on your smart phone.
http://tellspec.com
8. Sensorization of things: ME
25/10/2019 VTT – beyond the obvious
▪ Our skin is an excellent media for
electronic devices to assess the
current wellness and health status of
the body.
▪ Possible to measure f.ex. heart rate,
hydration, oxygen saturation,
breathing rate and temperature
https://graphene-flagship.eu
9. Sensorization of things: ME
25/10/2019 VTT – beyond the obvious
➢ WearSens created by UCLA: A “smart”
necklace that tracks vibrations in the
neck to automatically detect if a user is
eating, what he is eating, and whether
he should stop.
➢ Measures the change in chewing,
swallowing, and breathing patterns
based on what food is being consumed.
The necklace uses piezoelectric sensors that generate
electricity under applied stress to record the body’s
movements as food moves in, around and down the
mouth and throat.
http://www.prototypingengineer.com/smart-necklace-tracks-eat/
10. Sensorization of me in the augmented
environment to boost my eating
experiences
25/10/2019 VTT – beyond the obvious
➢Our visual and auditory perceptions of eating
environment alter our food choices, sensory
and emotional aspects related to the eating
experience
➢Augmentation of the eating environment:
➢altered consumers’ emotional responses
➢elevated consumers’ evaluations of healthy
snack to the same level as unhealthy snack
11. Fusion of ‘Big data’ with ‘Internet of Things’, will
catalyze decentralized food manufacturing.
25/10/2019 VTT – beyond the obvious
Digital
systems
Biological
systems
Physical
systems
Food
Ind 4.0
12. Example smart food manufacturing:
VTT’s cake in a cup machine
25/10/2019 VTT – beyond the obvious
VTT’s cake in a cup machine makes on-demand single
serving sweet or savory ”cup” cakes formulated and
baked at the point-of-purchase to allow
personalization of nutritional and taste profile.
13. 25/10/2019 VTT – beyond the obvious 13
Next generation of food
manufacturing is fueled by data
connecting your feelings, your
health & wellbeing with your food!