I gave this presentation at the 2nd Lake Constance Supplier Dialogue in October 2017 in Friedriechshafen/Germany as part of the German Purchasing Association.
Say Hello to Watson on the Shopfloor - AI and Cognitive Manufacturing in ActionThorsten Schroeer
I gave this presentation at the chamber of commerce in luxemburg for the cluster of logistics in november 2017. Key themes are #ai #cognitive #watson #iot #manufacturing #supply chain #robotics
Big Data LDN 2018: THE THIRD REVOLUTION IN ANALYTICSMatt Stubbs
Date: 13th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Rob Davis
Organisation: MicroStrategy
About: While great strides have been made in equipping the analyst with ever smarter tools for gleaning insight from data, techniques and platforms for allowing the workforce to benefit from these insights in a timely fashion have been lacking. The third revolution in analytics will enable this wider workforce, consisting of front line workers who are not traditional users of data, to rapidly monetise insights coming from the business analyst even while their day to day actions improve the intelligence of the enterprise.
In this session, you will learn what characteristics an analytics platform must possess in order to enable the third revolution as well as see examples of how to build the organisational and cultural changes that are also necessary. A case study and common pitfalls to be avoided will be presented. Key industry trends such as AI, embedded analytics, and widening data literacy will be discussed as enablers for the third revolution in analytics.
Join Rob Davis, Vice President of Product Management for MicroStrategy, as he presents the importance of bridging this last mile of analytics to the creation of a truly Intelligent Enterprise.
Build it…will they come by Shawn TrainerData Con LA
Abstract:- The truth about enabling self-service (and why you need it) Data is growing astronomically, historically and in real-time. So is the need for exploration and discovery. One size doesn’t fit all. We’ll be covering how to efficiently deliver information on-demand and promote self-service adoption with the right data platform.
Big Data and Analytics: The IBM PerspectiveThe_IPA
Gareth Mitchell-Jones, Associate Partner Big Data & Analytics at IBM, shares his thoughts on the hot topic of Big Data from his unique perspective at an IPA 44 Club event in London. To learn more about The IPA visit www.ipa.co.uk and The 44 Club here http://www.ipa.co.uk/groups/44-club-2
Logitech Accelerates Cloud Analytics Using Data Virtualization by Avinash Des...Data Con LA
Abstract:- Many firms are adopting a cloud first strategy and are migrating their on-premises technologies to the cloud. Logitech is one of them. We have adopted the AWS platform and big data on the cloud for all of their analytical needs, including Amazon Redshift and S3. In this presentation, I will present: The business rationale for migrating to the cloud. How data virtualization enables the migration. Running data virtualization itself in the cloud.
Reducing Image Hide & Seek with AI for In-House AgenciesNuxeo
Most designers spend a lot of time (too much, in fact) searching for images. The thing is, finding what you’re looking for assumes the image was tagged with the appropriate terms up front. Artificial intelligence (AI) can be a useful aid to identify image attributes. And, applying AI using machine learning (ML) models that can be trained on your specific business data can add real value by reducing tedious manual tagging while increasing search effectiveness.
In this webinar, we walk through a practical example from an apparel manufacturer of how business-trained AI is being used to identify and label creative assets during mass image uploads.
In this presentation Andy considers what was learnt building the EVRYTHNG IoT platform which helps billions of things get smart since 2011. In particular he'll be talking about patterns and anti-patterns, tools and common architectures. Finally, we'll have a glimpse at the future of IoT which will truly transform our businesses: from smart labels to LPWAN and blockchains. Speaker: Andy Hobsbawm, CTO & Co-Founder @ EVRYTHNG
Understanding Content:Machine Learning & the Modern InsurerNuxeo
In today’s digital world, insurers are literally drowning in content. Accident photos, policy applications, statements, customer emails and SMS messages -- these are all content that underpins your business and your customer experience. Yet for most insurers, content remains a massive business challenge: difficult to find, hard to process, impossible to analyze, and oh so expensive.
Discover how AI and machine learning can be used to transform your content into a business advantage.
We'll share real examples of how other P&C and Health insurers are using these technologies to automate virtual claims, intelligently process policy applications, detect fraud, and even gain new insight into accident damage.
You will learn:
- How AI uniquely addresses your content challenges
- Why custom ML models deliver more value
- What “content lakes” are, and what value they add
- How to take your first steps with AI
Say Hello to Watson on the Shopfloor - AI and Cognitive Manufacturing in ActionThorsten Schroeer
I gave this presentation at the chamber of commerce in luxemburg for the cluster of logistics in november 2017. Key themes are #ai #cognitive #watson #iot #manufacturing #supply chain #robotics
Big Data LDN 2018: THE THIRD REVOLUTION IN ANALYTICSMatt Stubbs
Date: 13th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Rob Davis
Organisation: MicroStrategy
About: While great strides have been made in equipping the analyst with ever smarter tools for gleaning insight from data, techniques and platforms for allowing the workforce to benefit from these insights in a timely fashion have been lacking. The third revolution in analytics will enable this wider workforce, consisting of front line workers who are not traditional users of data, to rapidly monetise insights coming from the business analyst even while their day to day actions improve the intelligence of the enterprise.
In this session, you will learn what characteristics an analytics platform must possess in order to enable the third revolution as well as see examples of how to build the organisational and cultural changes that are also necessary. A case study and common pitfalls to be avoided will be presented. Key industry trends such as AI, embedded analytics, and widening data literacy will be discussed as enablers for the third revolution in analytics.
Join Rob Davis, Vice President of Product Management for MicroStrategy, as he presents the importance of bridging this last mile of analytics to the creation of a truly Intelligent Enterprise.
Build it…will they come by Shawn TrainerData Con LA
Abstract:- The truth about enabling self-service (and why you need it) Data is growing astronomically, historically and in real-time. So is the need for exploration and discovery. One size doesn’t fit all. We’ll be covering how to efficiently deliver information on-demand and promote self-service adoption with the right data platform.
Big Data and Analytics: The IBM PerspectiveThe_IPA
Gareth Mitchell-Jones, Associate Partner Big Data & Analytics at IBM, shares his thoughts on the hot topic of Big Data from his unique perspective at an IPA 44 Club event in London. To learn more about The IPA visit www.ipa.co.uk and The 44 Club here http://www.ipa.co.uk/groups/44-club-2
Logitech Accelerates Cloud Analytics Using Data Virtualization by Avinash Des...Data Con LA
Abstract:- Many firms are adopting a cloud first strategy and are migrating their on-premises technologies to the cloud. Logitech is one of them. We have adopted the AWS platform and big data on the cloud for all of their analytical needs, including Amazon Redshift and S3. In this presentation, I will present: The business rationale for migrating to the cloud. How data virtualization enables the migration. Running data virtualization itself in the cloud.
Reducing Image Hide & Seek with AI for In-House AgenciesNuxeo
Most designers spend a lot of time (too much, in fact) searching for images. The thing is, finding what you’re looking for assumes the image was tagged with the appropriate terms up front. Artificial intelligence (AI) can be a useful aid to identify image attributes. And, applying AI using machine learning (ML) models that can be trained on your specific business data can add real value by reducing tedious manual tagging while increasing search effectiveness.
In this webinar, we walk through a practical example from an apparel manufacturer of how business-trained AI is being used to identify and label creative assets during mass image uploads.
In this presentation Andy considers what was learnt building the EVRYTHNG IoT platform which helps billions of things get smart since 2011. In particular he'll be talking about patterns and anti-patterns, tools and common architectures. Finally, we'll have a glimpse at the future of IoT which will truly transform our businesses: from smart labels to LPWAN and blockchains. Speaker: Andy Hobsbawm, CTO & Co-Founder @ EVRYTHNG
Understanding Content:Machine Learning & the Modern InsurerNuxeo
In today’s digital world, insurers are literally drowning in content. Accident photos, policy applications, statements, customer emails and SMS messages -- these are all content that underpins your business and your customer experience. Yet for most insurers, content remains a massive business challenge: difficult to find, hard to process, impossible to analyze, and oh so expensive.
Discover how AI and machine learning can be used to transform your content into a business advantage.
We'll share real examples of how other P&C and Health insurers are using these technologies to automate virtual claims, intelligently process policy applications, detect fraud, and even gain new insight into accident damage.
You will learn:
- How AI uniquely addresses your content challenges
- Why custom ML models deliver more value
- What “content lakes” are, and what value they add
- How to take your first steps with AI
Azure IoT - A Practical Entry to New RetailDaniel Li
The document discusses how retailers can use Microsoft Azure and Azure IoT technologies like IoT Edge, IoT Central, machine learning, and Dynamics 365 to transform their business through connecting devices, analyzing data, gaining insights, and delivering personalized customer experiences across channels from edge to cloud. It provides an overview of the Azure IoT reference architecture and key Azure IoT technologies and services that retailers can leverage, and suggests next steps for developers and decision makers to explore these solutions.
How a Top Bank Improved Customer Experience Through Digital TransformationNuxeo
As competition from BigTech enters the financial services market, banks are struggling to deliver added value to their customers.
When the Technology & Operations Department, at one of the top banks in the world, set out to improve customer experience, decrease time to market, and reduce technology costs, they knew they had to transform the business.
Discover how they modernised their legacy systems to use data in new and innovative ways that deliver value to the customer and discover lessons learned about:
- Challenges with competition, regulation, and customer satisfaction
- Common obstacles to success
- The realities of culture and technology change
"Designing Better Machines: Evolution of a cognitive Digital Twin"
Industry 4.0 Meets Industrial Internet of Things Forum at Hannover Messe 2018 with IBM Watson IoT CTO Sky Matthews @blueskyflash @IBMIoT #HM18 #IBM #WatsonIoT
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...Dataconomy Media
The challenges of increasing complexity of organizations, companies and projects are obvious and omnipresent. Everywhere there are connections and dependencies that are often not adequately managed or not considered at all because of a lack of technology or expertise to uncover and leverage the relationships in data and information. In his presentation, Axel Morgner talks about graph technology and knowledge graphs as indispensable building blocks for successful companies.
From the conference Future Tech in Insurance at Forsikringsakademiet, nov 15 2016. Defining cognitive and how that is relevant for insurance companies.
How to Solve 4 Common Challenges of Legacy Information ManagementNuxeo
The document discusses challenges organizations face with legacy information management systems, including disconnected systems, time spent searching for information, and new compliance mandates. It proposes modernizing content management through a smarter approach that unlocks information, uses AI to enrich metadata and recognize patterns, and bridges existing content silos. The modern content management solution discussed would help reduce costs and risks while meeting customers' changing needs.
How Insurers Fueled Transformation During a PandemicNuxeo
For many insurers, the past year has accelerated strategic investments to manage remote workforces, support virtual claims handling, and face off with FinTech upstarts.
In this webinar, we look at how leading insurers not only addressed the immediate challenges caused by global lockdowns but also found new efficiencies along the way. Get insights into some of the emerging technologies that are driving innovation in insurance, including the Cloud, artificial intelligence, and low-code. We also explore how these technologies reduce claims leakage while improving claims accuracy, employee productivity, and customer satisfaction.
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...Denodo
Watch full webinar here: https://bit.ly/3szm3PV
In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure. This can be achieved with Data Virtualization.
Banking institutions need to update their legacy systems and implement strategies and services that will transform them into digital financial organizations.
They need agile access to information that can be leveraged to make timely business decisions, yet still fulfill the regulatory requirements. In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure.
This webinar presents:
- How data virtualization can help update and modernize data architectures,
- Success stories of financial companies that already use this technology to differentiate themselves from the competition, optimize processes, and create new business opportunities through more agile data management.
In this new Accenture Finance & Risk presentation we explore machine learning as a solution to some of the most important challenges faced by the banking sector today. To learn more, read our blog on Machine Learning in Banking: https://accntu.re/2oTVJiX
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
Benefiting from Semantic AI along the data life cycleMartin Kaltenböck
Slides of 1 hour session of Martin Kaltenböck (CFO and Managing Partner of Semantic Web Company / PoolParty Software Ltd) on 19 March 2019 in Boston, US at the Enterprise Data World 2019, with its title: Benefiting from Semantic AI along the data life cycle.
Regulatory Reality Check: Improve trust, compliance and visibility with IoT a...IBM Internet of Things
The document discusses how blockchain and IoT can improve trust, compliance and visibility for asset-intensive industries. It provides examples of how non-compliance costs industries billions annually and introduces blockchain as an immutable ledger that can be used with Maximo to improve processes like maintenance, repair, and disposal that involve multiple parties. The remainder demonstrates how Maximo and blockchain could be used together for various asset management scenarios through a network that allows external participants while maintaining data security and integrity.
8 Reasons to Modernize Legacy Information SystemsJodi Rosenblum
In this webinar, discover how top insurers and financial services organizations have successfully modernized their information management infrastructures.
What you’ll learn:
- Why current information management strategies make insurers less competitive
How to bridge information silos to enhance your customer experience
- Methods to improve decision-making with intelligent information
- How AI can provide greater automation and insight to claims and underwriting processes
- New ways to comply with regulations like CCPA and GDPR
Our panelists will discuss common information management challenges that legacy systems pose, and how to intelligently modernize existing systems to support digital transformation, take advantage of new cloud technologies, and gain a competitive advantage in today’s insurance market.
Today’s insurers are under tremendous competitive pressure, both from digital-native, Insuretech start-ups and Bigtech companies entering the market. Join us to learn what carriers are doing to meet the challenge.
This presentation was made on May 13, 2020 and the video recording of it can be viewed here: https://youtu.be/QAgYASr1SHA
Description:
Are AI and AutoML overhyped or the answer to our problems?
Beyond the hyperbole, what are AutoML and AI?
How are they helpful, and when are they not?
Why are they more relevant and valuable than ever?
Our world is changing rapidly, and that implies many organizations will need to adapt quickly. AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business. AI empowers data teams to scale and deliver trusted, production-ready models in an easier, faster, more cost-effective way than traditional machine learning approaches.
AI and AutoML are not magic but it can be transformative, find out how at this virtual meetup. Get practical tips and see AutoML in action with a real-world example. We’ll demonstrate how AutoML can augment your Data Scientists, supercharging your team and giving your organization the AI edge in record time.
Speakers' Bio:
James Orton: He has over a decade of experience in analytics and data science across a number of industries. He has managed data science teams and large scale projects, before more recently launching his own startup. His vision for AI and that of H2O.ai were so closely aligned, it was a fortuitous opportunity for James to join H2O.ai in the Australia and New Zealand region.
State of the State: What’s Happening in the Database Market?Neo4j
Speaker: Lance Walter, CMO, Neo4j
Abstract: The data management landscape continues to evolve rapidly. More and more organizations are waking up to the value of connections and relationships in data, and that’s why Gartner recently named Graph databases one of their Top 10 Technology Trends for 2019.
This session will provide an overview of graph technology and talk about the past, present, and future of graphs and data management. Multiple use cases and customer examples will be covered, including examples of where graph databases can assist and accelerate machine learning and AI projects.
Wikibon is a different type of analyst firm that uses digital technology to conduct and share research on digital business and IT. Presented by Peter Burris and Dave Vellante, here are our 2017 predictions.
This document discusses how Nuxeo offers AI capabilities to improve productivity and customer experience. It describes Nuxeo's AI platform called Nuxeo Vision that uses generic AI services for image and text recognition. The document then outlines Nuxeo's ambition to develop more advanced custom AI models using their content platform and insight cloud. It provides examples of how Nuxeo AI could be used for content enrichment, custom model training, learning from business processes, and decision assistance.
What happens in the Innovation of Things?Kim Escherich
From the ComputerWorld Internet of Things conference in Copenhagen October 27 2015. On definitions, markets, trends, needed capabilities and how to implement using IBM BlueMix.
The growth on the Internet of Things (IoT) has been astonishing.
From Home to Cities,
Wearables to Driverless Cars, Agriculture to Factories ,
more and more things are being connected and embedded with technology and generating big-data.
- When Data became really ‘Big-Data’?
- What are the characteristics/complexities of Big-Data in IoT?--
- What is the role of Analytics and How is it different in IoT context?
- What are the use-cases of IoT with Analytics in Action?
- When AI meets IoT: Frameworks, Tools, Technologies
Azure IoT - A Practical Entry to New RetailDaniel Li
The document discusses how retailers can use Microsoft Azure and Azure IoT technologies like IoT Edge, IoT Central, machine learning, and Dynamics 365 to transform their business through connecting devices, analyzing data, gaining insights, and delivering personalized customer experiences across channels from edge to cloud. It provides an overview of the Azure IoT reference architecture and key Azure IoT technologies and services that retailers can leverage, and suggests next steps for developers and decision makers to explore these solutions.
How a Top Bank Improved Customer Experience Through Digital TransformationNuxeo
As competition from BigTech enters the financial services market, banks are struggling to deliver added value to their customers.
When the Technology & Operations Department, at one of the top banks in the world, set out to improve customer experience, decrease time to market, and reduce technology costs, they knew they had to transform the business.
Discover how they modernised their legacy systems to use data in new and innovative ways that deliver value to the customer and discover lessons learned about:
- Challenges with competition, regulation, and customer satisfaction
- Common obstacles to success
- The realities of culture and technology change
"Designing Better Machines: Evolution of a cognitive Digital Twin"
Industry 4.0 Meets Industrial Internet of Things Forum at Hannover Messe 2018 with IBM Watson IoT CTO Sky Matthews @blueskyflash @IBMIoT #HM18 #IBM #WatsonIoT
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...Dataconomy Media
The challenges of increasing complexity of organizations, companies and projects are obvious and omnipresent. Everywhere there are connections and dependencies that are often not adequately managed or not considered at all because of a lack of technology or expertise to uncover and leverage the relationships in data and information. In his presentation, Axel Morgner talks about graph technology and knowledge graphs as indispensable building blocks for successful companies.
From the conference Future Tech in Insurance at Forsikringsakademiet, nov 15 2016. Defining cognitive and how that is relevant for insurance companies.
How to Solve 4 Common Challenges of Legacy Information ManagementNuxeo
The document discusses challenges organizations face with legacy information management systems, including disconnected systems, time spent searching for information, and new compliance mandates. It proposes modernizing content management through a smarter approach that unlocks information, uses AI to enrich metadata and recognize patterns, and bridges existing content silos. The modern content management solution discussed would help reduce costs and risks while meeting customers' changing needs.
How Insurers Fueled Transformation During a PandemicNuxeo
For many insurers, the past year has accelerated strategic investments to manage remote workforces, support virtual claims handling, and face off with FinTech upstarts.
In this webinar, we look at how leading insurers not only addressed the immediate challenges caused by global lockdowns but also found new efficiencies along the way. Get insights into some of the emerging technologies that are driving innovation in insurance, including the Cloud, artificial intelligence, and low-code. We also explore how these technologies reduce claims leakage while improving claims accuracy, employee productivity, and customer satisfaction.
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...Denodo
Watch full webinar here: https://bit.ly/3szm3PV
In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure. This can be achieved with Data Virtualization.
Banking institutions need to update their legacy systems and implement strategies and services that will transform them into digital financial organizations.
They need agile access to information that can be leveraged to make timely business decisions, yet still fulfill the regulatory requirements. In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure.
This webinar presents:
- How data virtualization can help update and modernize data architectures,
- Success stories of financial companies that already use this technology to differentiate themselves from the competition, optimize processes, and create new business opportunities through more agile data management.
In this new Accenture Finance & Risk presentation we explore machine learning as a solution to some of the most important challenges faced by the banking sector today. To learn more, read our blog on Machine Learning in Banking: https://accntu.re/2oTVJiX
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
Benefiting from Semantic AI along the data life cycleMartin Kaltenböck
Slides of 1 hour session of Martin Kaltenböck (CFO and Managing Partner of Semantic Web Company / PoolParty Software Ltd) on 19 March 2019 in Boston, US at the Enterprise Data World 2019, with its title: Benefiting from Semantic AI along the data life cycle.
Regulatory Reality Check: Improve trust, compliance and visibility with IoT a...IBM Internet of Things
The document discusses how blockchain and IoT can improve trust, compliance and visibility for asset-intensive industries. It provides examples of how non-compliance costs industries billions annually and introduces blockchain as an immutable ledger that can be used with Maximo to improve processes like maintenance, repair, and disposal that involve multiple parties. The remainder demonstrates how Maximo and blockchain could be used together for various asset management scenarios through a network that allows external participants while maintaining data security and integrity.
8 Reasons to Modernize Legacy Information SystemsJodi Rosenblum
In this webinar, discover how top insurers and financial services organizations have successfully modernized their information management infrastructures.
What you’ll learn:
- Why current information management strategies make insurers less competitive
How to bridge information silos to enhance your customer experience
- Methods to improve decision-making with intelligent information
- How AI can provide greater automation and insight to claims and underwriting processes
- New ways to comply with regulations like CCPA and GDPR
Our panelists will discuss common information management challenges that legacy systems pose, and how to intelligently modernize existing systems to support digital transformation, take advantage of new cloud technologies, and gain a competitive advantage in today’s insurance market.
Today’s insurers are under tremendous competitive pressure, both from digital-native, Insuretech start-ups and Bigtech companies entering the market. Join us to learn what carriers are doing to meet the challenge.
This presentation was made on May 13, 2020 and the video recording of it can be viewed here: https://youtu.be/QAgYASr1SHA
Description:
Are AI and AutoML overhyped or the answer to our problems?
Beyond the hyperbole, what are AutoML and AI?
How are they helpful, and when are they not?
Why are they more relevant and valuable than ever?
Our world is changing rapidly, and that implies many organizations will need to adapt quickly. AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business. AI empowers data teams to scale and deliver trusted, production-ready models in an easier, faster, more cost-effective way than traditional machine learning approaches.
AI and AutoML are not magic but it can be transformative, find out how at this virtual meetup. Get practical tips and see AutoML in action with a real-world example. We’ll demonstrate how AutoML can augment your Data Scientists, supercharging your team and giving your organization the AI edge in record time.
Speakers' Bio:
James Orton: He has over a decade of experience in analytics and data science across a number of industries. He has managed data science teams and large scale projects, before more recently launching his own startup. His vision for AI and that of H2O.ai were so closely aligned, it was a fortuitous opportunity for James to join H2O.ai in the Australia and New Zealand region.
State of the State: What’s Happening in the Database Market?Neo4j
Speaker: Lance Walter, CMO, Neo4j
Abstract: The data management landscape continues to evolve rapidly. More and more organizations are waking up to the value of connections and relationships in data, and that’s why Gartner recently named Graph databases one of their Top 10 Technology Trends for 2019.
This session will provide an overview of graph technology and talk about the past, present, and future of graphs and data management. Multiple use cases and customer examples will be covered, including examples of where graph databases can assist and accelerate machine learning and AI projects.
Wikibon is a different type of analyst firm that uses digital technology to conduct and share research on digital business and IT. Presented by Peter Burris and Dave Vellante, here are our 2017 predictions.
This document discusses how Nuxeo offers AI capabilities to improve productivity and customer experience. It describes Nuxeo's AI platform called Nuxeo Vision that uses generic AI services for image and text recognition. The document then outlines Nuxeo's ambition to develop more advanced custom AI models using their content platform and insight cloud. It provides examples of how Nuxeo AI could be used for content enrichment, custom model training, learning from business processes, and decision assistance.
What happens in the Innovation of Things?Kim Escherich
From the ComputerWorld Internet of Things conference in Copenhagen October 27 2015. On definitions, markets, trends, needed capabilities and how to implement using IBM BlueMix.
The growth on the Internet of Things (IoT) has been astonishing.
From Home to Cities,
Wearables to Driverless Cars, Agriculture to Factories ,
more and more things are being connected and embedded with technology and generating big-data.
- When Data became really ‘Big-Data’?
- What are the characteristics/complexities of Big-Data in IoT?--
- What is the role of Analytics and How is it different in IoT context?
- What are the use-cases of IoT with Analytics in Action?
- When AI meets IoT: Frameworks, Tools, Technologies
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
"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
IBM BC2015 - Internet of Things - from hype to realityIBM Sverige
Denna presentation hölls på IBM Business Connect (http://www.ibm.com/se/businessconnect) i oktober 2015 av Kim Escherich (IoT Innovation Architect, IBM)
Beskrivning:
Internet of Things is everywhere, and almost everyone is talking about it its impact to society. It is changing how we innovate to create new cool things, how people interact and learn, and our ability more wisely use our resources.
This presentation will briefly review IBM's journey, what areas are in focus and what IBM sees as its key contributions to this transformation.
This document discusses how cognitive computing can help realize the full potential of the Internet of Things (IoT). It notes that while early IoT applications are providing value, the vast majority of data generated by IoT devices is currently unused. Cognitive systems that can learn from large amounts of structured and unstructured data have the potential to extract much more insights from IoT data and enable more advanced IoT applications. The document outlines some key foundations for a successful IoT strategy and argues that cognitive systems like IBM's Watson platform can help address the data challenges of IoT by facilitating deeper human engagement, continuous learning, predictive capabilities, knowledge sharing and optimization of complex systems.
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.
The document discusses IoT driven wearable devices for healthcare and defense applications. It outlines an upcoming two-week faculty development program on IoT and interfacing techniques sponsored by Atal Academy. The agenda includes discussions on the background of IoT, examples of IoT, elements of IoT, interfacing techniques, and future trends. It also provides information on embedded systems, definitions of IoT, possible IoT applications, IoT architecture including sensors, edge devices, connectivity, and analytics challenges.
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.
Cognitive Digital Twin by Fariz SaračevićBosnia Agile
Data are driving the world today and they are becoming world's precious currency. Continuous Engineering, the default set of applications for enterprise software development, produce a wealth of data but it is hard to understand its value. What if you could find hidden patterns in your data your development teams create? What if you could discover ways to improve your team's performance? This presentation reviewed some of the different ways the Collaborative Lifecycle Management team (http://jazz.net) is utilizing Watson Analytics to gain insights into and improve efficiency with their own processes.
Digital transformation in the manufacturing industryBenji Harrison
The document discusses how digital transformation through technologies like Industry 4.0, IoT, big data, VR/AR, and artificial intelligence can benefit manufacturers. Industry 4.0 uses advanced technologies like smart sensors to increase visibility, minimize costs, and speed up production. IoT networks connect intelligent devices to gather and analyze data for cost control, efficiency, and innovation. Big data and advanced analytics provide insights from historical data to optimize processes. VR/AR technologies improve product design and help workers perform tasks faster and more accurately. Artificial intelligence and analytics help integrate systems for greater speed and scale.
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1. The document discusses IBM's strategy around cognitive manufacturing and the Industrial Internet of Things (IIoT).
2. It describes IBM's Watson IoT platform, which collects data from devices, enables edge analytics, and provides analytics and cognitive capabilities to help manufacturers predict needs, improve decision making, and gain competitive advantages.
3. Examples are given of how IBM has helped manufacturers increase productivity, reduce costs, and improve quality through applying cognitive technologies like predictive analytics, machine learning and natural language processing to manufacturing data.
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Learn more: http://ms.spr.ly/6000Tweiq
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The document discusses how the future of the Internet of Things (IoT) will be cognitive. It notes that cognitive capabilities like artificial intelligence, machine learning, and deep learning are driving new capabilities. By 2025, annually 1 Bronto Byte of data will be created, but currently 80% of data is "dark." The rise of cognitive systems means they can understand text, images, and speech with context; reason and interpret information; and continuously learn from every interaction. Examples are given of how cognitive systems can be applied in retail, sales/marketing, manufacturing, equipment maintenance, quality control, and automotive to augment human performance.
𝐔𝐧𝐯𝐞𝐢𝐥 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐄𝐧𝐞𝐫𝐠𝐲 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐰𝐢𝐭𝐡 𝐍𝐄𝐖𝐍𝐓𝐈𝐃𝐄’𝐬 𝐋𝐚𝐭𝐞𝐬𝐭 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠𝐬
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During the budget session of 2024-25, the finance minister, Nirmala Sitharaman, introduced the “solar Rooftop scheme,” also known as “PM Surya Ghar Muft Bijli Yojana.” It is a subsidy offered to those who wish to put up solar panels in their homes using domestic power systems. Additionally, adopting photovoltaic technology at home allows you to lower your monthly electricity expenses. Today in this blog we will talk all about what is the PM Surya Ghar Muft Bijli Yojana. How does it work? Who is eligible for this yojana and all the other things related to this scheme?
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10. 10
[tʃæt boːt]
“A.I. computer program designed
to behave like a human
that you can interact with,
in order to get information
or get things done.“
Hello. How can I help?
11. By 2019,
40%
of all Digital Transformation initiatives, and
100%
of all effective IoT efforts, will be supported by
Cognitive/AI capabilities.
24. Understand me and my needs
Advise me interactively in solving my
problem without reading half of the
intranet
Guide me in performing the high
variety of processes with supporting
applications
Cognitive Advisor for Interactive User
Relationship & Continuous Learning
25. act like a STARTUP scale like an ENTERPRISE
Vision created by
Design Thinking
Agile Co-Creation Pilot
Minimum Viable
Product
3days 3weeks 3months
28. Watson IoT / Presentation Title / Date
28
Our customers do not longer
want to buy product features,
they want to buy business
outcomes
Henrik Ehrnrooth
CEO and President, KONE
“
“
29. What the hell is
Blockchain?
29
Free Download: https://ibm.co/2qFBdnr
33. Blockchain Project – Parcel Chain use case
Based on Hyperledger
„ Open source and open standards-based
„ Modular and scalable architecture
„ Permissioned
„ Performant
„ Privacy & confidentiality assured
Advantages
„ Transparency on product logistics
„ Potential cost savings
„ Improved fake detection granularity
„ Identification of gray market imports
„ Extensible to other business cases
Blockchain Nodes
XX IoT Cloud
Data Center XX
Public Cloud Distr. A
Data Center Distr. B
Public Cloud Logistic
Transactions
Description Parcel
Container ID _cont_12345
Product ID _bosch_part12345
Prod Date 01.10.2016 14:45:22
Origin China
Destination
Distributor A –
Lissbon
Blockchain Ledger
Block 1
#0155fa4bee112ce46739
8
H
Hash
Function