3 page presentation of KnowNow Information's technologies as of October 2015 featuring Home Sensing IoT, Big Data Analytics via the Flood Event Model and the KnowNow Trust personal information micro service.
CIR’s Events upcoming are always listed at http://www.hvm-uk.com Go there to plan your excellent networking and tech learning schedule!
CIR is proud to present the takeaways from the Smart Systems Summit 2014 at the prestigious Institute of Directors in Pall Mall, West London 1-2 October. This year's programme was truly excellent, with over 30 speakers.
smart, energy, grids, power, homes. transport, living, sensors, IOT, M2M, Industrial internet, technology, industry, markets, value, innovation, marketing, products, services, monetisation, growth, better
Bei der Digital Konferenz The Future of AI & Big Data Analytics gibt Julian Fischer, Artificial Intelligence Account Executive bei intel, Einblick in End-to-End AI Acceleration mit Intel.
Julian Fischer ist seit 2018 bei intel. Er steht ein für die Förderung der Digitalisierung auf Basis der Intel-Technologie durch Unterstützung seiner Kunden und Partner bei allen IT-Herausforderungen, einschließlich der Zukunft des Arbeitsplatzes, der künstlichen Intelligenz und der DataCenter-Transformation.
CIR’s Events upcoming are always listed at http://www.hvm-uk.com Go there to plan your excellent networking and tech learning schedule!
CIR is proud to present the takeaways from the Smart Systems Summit 2014 at the prestigious Institute of Directors in Pall Mall, West London 1-2 October. This year's programme was truly excellent, with over 30 speakers.
smart, energy, grids, power, homes. transport, living, sensors, IOT, M2M, Industrial internet, technology, industry, markets, value, innovation, marketing, products, services, monetisation, growth, better
Bei der Digital Konferenz The Future of AI & Big Data Analytics gibt Julian Fischer, Artificial Intelligence Account Executive bei intel, Einblick in End-to-End AI Acceleration mit Intel.
Julian Fischer ist seit 2018 bei intel. Er steht ein für die Förderung der Digitalisierung auf Basis der Intel-Technologie durch Unterstützung seiner Kunden und Partner bei allen IT-Herausforderungen, einschließlich der Zukunft des Arbeitsplatzes, der künstlichen Intelligenz und der DataCenter-Transformation.
AllThingstalk presenting at Microsoft Innovation CenterStefaan Top
On 26 January, 2016, Tom Casaer and me were invited to present at the Microsoft Innovation Center in Kortrijk, Belgium. Tom shared some of his insights in Internet of Things (IoT) and I presented the AllThingsTalk Liato case to help elderly live a longer independent life. The crowd enjoyed the demo of our AllThingsTalk IoT platform as well.
Digital Twin refers to a physical and functional description of a component, product or system together with all available operational data. This includes all information which could be useful in current and subsequent lifecycle phases. Benefit of it for mechatronic and cyber-physical systems is to provide the information created during design and engineering also at the operation of the system. The comprehensive networking of all information, shared between partners and connecting design, production and usage, forms the presented paradigm of next generation Digital Twin.
Big Data Expo 2015 - Microsoft Transform you data into intelligent actionBigDataExpo
Succesvolle big data klanten rapporteren een +47% hogere retailomzet per connected gebruiker, verhogen het slagingspercentage van leerlingen van 55 naar 78%, voorspellen met 92% nauwkeurigheid de uitslag van steekproefkeuringen en besparen 300 k$ per dag als gevolg van geoptimaliseerd onderhoud. Wat kenmerkt deze successen? Hoe kunt u uw data in intelligente aktie omzetten?
Top 5 Deep Learning and AI Stories - November 30, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: 75 healthcare companies partner with NVIDIA to power the future of radiology, NeurIPS conference showcases the latest in AI research, NVIDIA's new research lab pushes machine learning boundaries, Israeli AI startup restores speech abilities to stroke victims and others with impaired language, and radiologists can detect anomalies in medical images with deep learning.
Data Data Everywhere But Not A Drop To Drink - Tech + Built Environment Trend...Matthew Marson
Organizations have invested heavily in data acquisition to improve their operations. Once they have that data, many still lack the time and skills to turn it into something that is trustworthy for impactful change. Furthermore, there is a lack of insight to know if the organization is performing well or not.
Top 5 Deep Learning and AI Stories - September 14, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: NVIDIA’s Clara Smartens up medical instruments, Fujifilm and NVIDIA bring radiology AI to Japan, Cisco boosts its deep learning capabilities, "I am AI" docuseries episode 8: Taking AI to new heights and How a Stanford PhD student is using deep learning to create “dank memes”.
Next IIoT wave: embedded digital twin for manufacturing IRS srl
Next IIoT wave will be a population of digital twin. A digital twin is a real-time digital replica of a physical device. Developing an embedded digital twin allows superior device diagnostic and failure anticipation. Discover how to to implement an embedded digital twin using real-time monitoring, physical models, and machine learning
Hitachi Data Systems is bringing Social Innovation solutions to market for the benefit of business and society. This narrative explains our transformation and what it means for our customers and partners.
6 trends of proptech that are revolutionizing real estateClevAir
Original post here - > https://clevair.io/blog/what-is-proptech-and-what-can-it-do/
PropTech Is disrupting the real-estate industry at a considerable pace. Let's look at some of the reasons more and more Property managers and real-estate owners are investing in it. You will also find examples of Proptech startups that can help you optimize your property and bring your management to the next level.
AllThingstalk presenting at Microsoft Innovation CenterStefaan Top
On 26 January, 2016, Tom Casaer and me were invited to present at the Microsoft Innovation Center in Kortrijk, Belgium. Tom shared some of his insights in Internet of Things (IoT) and I presented the AllThingsTalk Liato case to help elderly live a longer independent life. The crowd enjoyed the demo of our AllThingsTalk IoT platform as well.
Digital Twin refers to a physical and functional description of a component, product or system together with all available operational data. This includes all information which could be useful in current and subsequent lifecycle phases. Benefit of it for mechatronic and cyber-physical systems is to provide the information created during design and engineering also at the operation of the system. The comprehensive networking of all information, shared between partners and connecting design, production and usage, forms the presented paradigm of next generation Digital Twin.
Big Data Expo 2015 - Microsoft Transform you data into intelligent actionBigDataExpo
Succesvolle big data klanten rapporteren een +47% hogere retailomzet per connected gebruiker, verhogen het slagingspercentage van leerlingen van 55 naar 78%, voorspellen met 92% nauwkeurigheid de uitslag van steekproefkeuringen en besparen 300 k$ per dag als gevolg van geoptimaliseerd onderhoud. Wat kenmerkt deze successen? Hoe kunt u uw data in intelligente aktie omzetten?
Top 5 Deep Learning and AI Stories - November 30, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: 75 healthcare companies partner with NVIDIA to power the future of radiology, NeurIPS conference showcases the latest in AI research, NVIDIA's new research lab pushes machine learning boundaries, Israeli AI startup restores speech abilities to stroke victims and others with impaired language, and radiologists can detect anomalies in medical images with deep learning.
Data Data Everywhere But Not A Drop To Drink - Tech + Built Environment Trend...Matthew Marson
Organizations have invested heavily in data acquisition to improve their operations. Once they have that data, many still lack the time and skills to turn it into something that is trustworthy for impactful change. Furthermore, there is a lack of insight to know if the organization is performing well or not.
Top 5 Deep Learning and AI Stories - September 14, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: NVIDIA’s Clara Smartens up medical instruments, Fujifilm and NVIDIA bring radiology AI to Japan, Cisco boosts its deep learning capabilities, "I am AI" docuseries episode 8: Taking AI to new heights and How a Stanford PhD student is using deep learning to create “dank memes”.
Next IIoT wave: embedded digital twin for manufacturing IRS srl
Next IIoT wave will be a population of digital twin. A digital twin is a real-time digital replica of a physical device. Developing an embedded digital twin allows superior device diagnostic and failure anticipation. Discover how to to implement an embedded digital twin using real-time monitoring, physical models, and machine learning
Hitachi Data Systems is bringing Social Innovation solutions to market for the benefit of business and society. This narrative explains our transformation and what it means for our customers and partners.
6 trends of proptech that are revolutionizing real estateClevAir
Original post here - > https://clevair.io/blog/what-is-proptech-and-what-can-it-do/
PropTech Is disrupting the real-estate industry at a considerable pace. Let's look at some of the reasons more and more Property managers and real-estate owners are investing in it. You will also find examples of Proptech startups that can help you optimize your property and bring your management to the next level.
Wonderla Holidays is our typical MULTIBAGGER
stock, which is a good investment due to the
enormous growth opportunities in sector primarily
due to increase in high disposal income
which will result in increase in discretionary
spend. The business model is robust with good pricing
power which will deliver superior returns in
the long run. This is a good investment from a
three year prospective.
Tema 40 Estructura de los ácidos nucleicos: aspectos generales, formas de rep...Dian Alex Gonzalez
Estructura de los ácidos nucleicos: aspectos generales, formas de representación lineal, propiedades físico-químicas, estructura B, A y Z del ADN y estructura de los nucleosomas
Interoperability is a key requirement for the IoT but what does it really mean? Standard protocols for different vendor's devices to interact with each other? Connection between different languages and operating systems? Wireless technology choice? A way for devices to interact with the cloud? Does it include data syntax? Must we model semantics? Can security interoperate? RTI, the world's largest embedded middleware company, participates in about 15 different "interoperability" efforts, including FACE (avionics), GVA (European vehicle architecture), SGIP (smart grid) and ICE (medical systems). We are leaders in the Industrial IoT and its leading consortium, the Industrial Internet Consortium (IIC). This session will examine the depth of the interoperability problem and explore solutions.
Presented by Stan Schneider, RTI CEO at IoTDevCon 2015
Please see this exciting news from Wunderlich-Malec Engineering.
Be sure to visit our VIP Tower webpage at http://www.wmvipservices.com/
Thank you in advance for your coverage of this exciting news.
Internet of Things is at the top of the Gartner Hype Cyle and scores of entrepreneurs are out building IoT products and solutions. A key question that requires discussion and clarity is – Who will pay for IoT and why? This talk demystifies the novelty of IoT and explains the roles played by various actors in the IoT ecosystem.
Who will pay for IoT and why? - Atanu Roy Chowdhury, Senior Product Manager a...Lounge47
“WHO WILL PAY FOR IoT AND WHY? " was a thought-provoking session. Here are the Lounge47 key takeaways: 1.IoT is a self-organizing system of Internet connected peripheral systems providing new and improved converged services 2.The value of the digitally charged thing in IoT comes from an extension of the local function with new digital services. Thing(s) + IT=Local function + measurements (historical, instantaneous) leading to new services and supercharged functions 3.The IoT hype is about the opportunity to monetize services from 50b connected devices by 2020 4.IoT devices can be classified by human desires - to know (omniscence), for human connection (telepathy), to protect & be protected (safekeeping), to be healthy & vital ( immortality), to move effortlessly (teleportation), to create, make and play (expression) 5.The IoT difference: Edgeware driving value, the “ecosystem of devices” paradigm and the possibilities for entrepreneurship 6.PC to Mobile industry to IoT is transitioning the traditional “top down” to a more collaborative approach 7.Value to the customer: a.high resolution real-time information b.M2M silos interconnected for greater visibility c.Interoperated and leveraged common infrastructure d.low cost solution solving specific consumer pain points e.improved traceability, resource utilization, health and safety 8.Value to developer: a.can handle multiple business models b.can handle multiple deployment models c.can create new products and services to diversify revenues d. Services in addition to devices can be created by developers 8. The actors in the IoT ecosystem – those that, discover new services, deliver supercharged services, create supercharged services, create Smart Things 9.Technical best practices: a.cost of data acquisition is not homogeneous b.diversity in sensors, devices and vendors is endemic c.business requirements can exceed technology reach d.device failures will happen, plan to handle them e. ensure that products are certified f.security is not an afterthought 10.Business best practices: a.device costs are a function of volumes, functionality and robustness b.there is a creepiness factor to IoT solutions c.new services require training d.market potential is hard to guesstimate e.Know your competition f.understand local regulations and tax regimes g.Process changes will be resisted h.Disgruntled customers seldom return 11. Different Business Models should be considered.
In summary, IoT offers significant opportunities, but the successful players will be those that emphasize and deliver value relative to existing services rather than just offer new functionality with undeterminable value.
Opportunities, Promises and Challenges of the New IT Model for EnterprisesFrank Greco
An overview of the new IT model. What are the specific opportunities, valuable technology promises and challenges facing enterprises and IT management.
Consumers will increasingly expect retailers to offer highly customized buying recommendations at the right time through the right device.
Being able to follow these through with seamless and secure e-commerce transactions.
The potential of Data blending in every area from automotive telemetry to medical science to national security is enormous.
Markus Stückler (Hewlett Packard Enterprise)Praxistage
Herausforderungen auf dem Weg der Digitalen Transformation. Beispiele und Lösungsansätze aus den Bereichen Cloud, Big Data und Mobilität. - Markus Stückler (Hewlett Packard Enterprise)
Internet of Things will generate ample of value to business in coming years, visit http://www.softwebsolutions.com/trends/internet-of-things/internet-of-things-applications.html for more details.
"Toward Cognitive-IoT Applications -- Integrating AI with Fog Computing" by Dr. Frank C. D. Tsai, Workshop of Mobile IoT with Edge Computing and Artificial Intelligence, sponsored by Ministry of Education, Taiwan
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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.
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.
1. Sensing in a space
Home and building sensing solutions
Temperature, Humidity, Energy Consumption, Presence Awareness
Delivered in Passivhaus home in South Downs National Park
Available for demonstrations at IBM’s IoT lab, Hursley, Hants.
2. Analytics
Producers of the Flood Event Model
Winners of the Open Data Institute Open Data Prize 2014
Experts in Visualisation and non-visual representation of data
3. Trust
A microservice for apps providing a measured level of trust between users
and applications
Solves the issue of accepting all T&C’s or not receiving the service.
Supported by the Digital Catapult and currently going through Information
Security Solutions Europe (ISSE) evaluation and ISO 23001
Going through User Testing at University of Southampton
To be available to developers worldwide from the IBM Cloud Marketplace in
early 2016