From Danish Food Cluster Mega Trends conference, may 2017. How big data and technology influences the food value chain and which overall tecnnology trends are changing the way we work.
Eat Data - How digitization is changing the food chainKim Escherich
Overview of the food system and opportunities for digitization. Covers main issues and talks about a number of IBM-projects. Keynote at the High Tech Summit at Danish Technical University, september, 21st, 2017.
From IBM Business Connect 2016 in Copenhagen. Covers definition of cognitive buildings and background on the global partnership between ISS and IBM on IoT,cognitive buildings, facility management and workforce optimization.
Presentation from the Futurecities 2013 conference Nov 7 at the Danish Parliament. Covers primarily the story of the IBM incident management solutions implemented in RIO.
Conference website: http://www.futurecities2013.dk/
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.
Eat Data - How digitization is changing the food chainKim Escherich
Overview of the food system and opportunities for digitization. Covers main issues and talks about a number of IBM-projects. Keynote at the High Tech Summit at Danish Technical University, september, 21st, 2017.
From IBM Business Connect 2016 in Copenhagen. Covers definition of cognitive buildings and background on the global partnership between ISS and IBM on IoT,cognitive buildings, facility management and workforce optimization.
Presentation from the Futurecities 2013 conference Nov 7 at the Danish Parliament. Covers primarily the story of the IBM incident management solutions implemented in RIO.
Conference website: http://www.futurecities2013.dk/
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.
From a session at OMEP's Manufacturing the Future Summit, January 14, 2014. By: Katie Moore Global Industry Manager – Food & Beverage GE Intelligent Platforms
Er vi alle vindere når ny teknologi, -arbejdsformer og innovation udfordrer d...Kim Escherich
From the Børsen IT-Value conference in the PPP-track. Covers the difficult task of making successfull projects in the greyzone between public and private
Document by McKinsey Quarterly (Michael Chui, Markus Löffler, and Roger Roberts)
More objects are becoming embedded with sensors and gaining the ability to communicate. The resulting information networks promise to create new business models, improve business processes, and reduce costs and risks.
Harbor Research recently completed a review of a new
cloud-based platform that takes a refreshingly new
approach to machine data analytics. Glassbeam jumps
ahead of the current market’s noise and confusion about
Big Data by viewing critical machine data analytics from a
business and operational perspective that can be addressed
by a single, scalable solution. In so doing, Glassbeam is
re-defining how value is created from machine data.
OT - How IoT will Impact Future B2B and Global Supply Chains - SS14Mark Morley, MBA
This presentation was originally given at an EDIFICE plenary in Brussels in May 2014. EDIFICE is a European based industry association driving B2B standards across the high tech industry. The presentation discussed digital disruption and how the Internet of Things is likely to impact future design of B2B platforms and global supply chains. - Updated March 2015
Industrial Internet of Things by Edy Liongosari of Accenturegogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
Introduction to the Industrial Internet of Things as presented at the IoT Inc Business' Fifth Meetup. See: http://www.iot-inc.com/meetup-driving-growth-industrial-internet-of-things/
In our fifth Meetup we have Edy Liongosari, Managing Director of Accenture Technology Labs presenting “Driving Unconventional Growth Through the Industrial Internet of Things.” Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
PRESENTATION ABSTRACT
The Industrial Internet of Things has been heralded primarily as a way to improve operational efficiency. But in today’s environment, companies can also benefit greatly by seeing it as a tool for finding growth in unexpected opportunities. In the future, successful companies will use the Industrial Internet of Things to capture new growth through three approaches: boost revenues by increasing production and creating new hybrid business models, exploit intelligent technologies to fuel innovation, and transform their workforce.
The Internet of Things: Past, Present and FutureSOLIDWORKS
At the end of 2012, there were around 8.7 billion connected objects in the world. As the trend grows, Cisco expects that number to reach over 50 billion by 2020. While a fully connected world – with self-driving cars, grocery-buying fridges, and endlessly quantifiable personal gadgets – may seem like a dream for the now, the Internet of Things may bring it here sooner than you think.
Learn more at http://www.solidworks.com/sw/resources/internet-of-things.htm?scid=sm_ss_IOTInfographic
Designing for Manufacturing's 'Internet of Things'Cognizant
The deeper meshing of virtual and physical machines offers the potential to truly transform the manufacturing value chain, from suppliers through customers, and at every touchpoint along the way.
From the conference Future Tech in Insurance at Forsikringsakademiet, nov 15 2016. Defining cognitive and how that is relevant for insurance companies.
Keynote presentation at 2017 Smart Buildings Summit (http://www.smartbuildingsummit.com.au/)
Technology is providing new opportunities for investors, tenants, designers and managers of smart, sustainable buildings. Are we finally witnessing the emergence of a new quality of assets that are truly smarter than their predecessors? This presentation will introduce the topic of Smart Buildings and what we can expect the future to hold.
• Smart Buildings defined
• What are the drivers of a Smart Building design?
• Who are the stakeholders who will benefit from a Smart Building?
• What the key technologies can you expect to find in a Smart Building?
The Internet of Things refers to a web of interconnected, interconnected objects where information can be exchanged, and it is possible to collect and transfer data over a wireless network without human intervention. IoT can be classified as a path of communication between the virtual and real world.
Visit at-: https://insellers.com/blogs/
Enabling Service-Delivery Business Models with Remote Sensing TechnologyMark Benson
Presented at Sensors Midwest in Chicago, IL by Mark Benson on September 28th, 2016.
ABSTRACT: IoT device fleets are becoming more pervasive. As devices are becoming connected to the Internet, new possibilities for how to use the data for aftermarket services are opening up. For any IoT solution, there are steps of maturity that occur in sequence: (1) connected, (2) managed, and (3) optimized. Data analytics maturity mirrors these three steps: (1) when devices are connected we can get some descriptive data about them; (2) when devices are managed, we can generate predictive analytics on them to figure out what might happen in the future such as with a motor failure; and (3) we can optimize devices and user interactions by using prescriptive analytics to provide closed loop feedback. This session will lay out the foundations of data analytics and how remote sensing technology can enable a new class of after service-delivery business models.
A look at what is the Internet of Things from the minds at https://losant.com
Truly, it's all about adding value to your life, business, and customers.
Gartner projects more than 20 billion connected IoT devices by end of 2020, http://www.gartner.com/newsroom/id/3165317.
My exact definition is:
The Internet of Things Is a term that represents a collection of ideas, devices, and processes.
Each thing is represented by a device or sensor.
These things are usually working together to create larger solutions by sending and reacting to data from an eco-system.
Internet of Things B2B market study 2016Yoann Kolnik
Internet of things 2016 market study. Designed for companies that expect to take part in the IoT revolution, accelerate growth and leave competition behind
How IoT is changing the agribusiness landscapeSjaak Wolfert
Smart Farming involves many sensing and monitoring devices, intelligent software for analysis & planning and mechatronics/robots closing the cyber-physical farm management cycle. Big Data on prices, markets, consumer behavior, etc. increasingly affect the whole agribusiness providing predictive insights in farming operations, drive real-time operational decisions and redesign business processes for game-changing business models. Major shifts in roles and power relations among different players in food supply chain networks can be expected. This presentation will briefly describe the IoT developments in agri-food business and present the changing business landscape with special attention to the role of software ecosystems in this development.
key note on Big Data in Horticulture, for Vineland Research and Innovation, November, Ontario Canada. (overlaps considerably with the earlier presentation for USDA NIFA in Chicago)
From a session at OMEP's Manufacturing the Future Summit, January 14, 2014. By: Katie Moore Global Industry Manager – Food & Beverage GE Intelligent Platforms
Er vi alle vindere når ny teknologi, -arbejdsformer og innovation udfordrer d...Kim Escherich
From the Børsen IT-Value conference in the PPP-track. Covers the difficult task of making successfull projects in the greyzone between public and private
Document by McKinsey Quarterly (Michael Chui, Markus Löffler, and Roger Roberts)
More objects are becoming embedded with sensors and gaining the ability to communicate. The resulting information networks promise to create new business models, improve business processes, and reduce costs and risks.
Harbor Research recently completed a review of a new
cloud-based platform that takes a refreshingly new
approach to machine data analytics. Glassbeam jumps
ahead of the current market’s noise and confusion about
Big Data by viewing critical machine data analytics from a
business and operational perspective that can be addressed
by a single, scalable solution. In so doing, Glassbeam is
re-defining how value is created from machine data.
OT - How IoT will Impact Future B2B and Global Supply Chains - SS14Mark Morley, MBA
This presentation was originally given at an EDIFICE plenary in Brussels in May 2014. EDIFICE is a European based industry association driving B2B standards across the high tech industry. The presentation discussed digital disruption and how the Internet of Things is likely to impact future design of B2B platforms and global supply chains. - Updated March 2015
Industrial Internet of Things by Edy Liongosari of Accenturegogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
Introduction to the Industrial Internet of Things as presented at the IoT Inc Business' Fifth Meetup. See: http://www.iot-inc.com/meetup-driving-growth-industrial-internet-of-things/
In our fifth Meetup we have Edy Liongosari, Managing Director of Accenture Technology Labs presenting “Driving Unconventional Growth Through the Industrial Internet of Things.” Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
PRESENTATION ABSTRACT
The Industrial Internet of Things has been heralded primarily as a way to improve operational efficiency. But in today’s environment, companies can also benefit greatly by seeing it as a tool for finding growth in unexpected opportunities. In the future, successful companies will use the Industrial Internet of Things to capture new growth through three approaches: boost revenues by increasing production and creating new hybrid business models, exploit intelligent technologies to fuel innovation, and transform their workforce.
The Internet of Things: Past, Present and FutureSOLIDWORKS
At the end of 2012, there were around 8.7 billion connected objects in the world. As the trend grows, Cisco expects that number to reach over 50 billion by 2020. While a fully connected world – with self-driving cars, grocery-buying fridges, and endlessly quantifiable personal gadgets – may seem like a dream for the now, the Internet of Things may bring it here sooner than you think.
Learn more at http://www.solidworks.com/sw/resources/internet-of-things.htm?scid=sm_ss_IOTInfographic
Designing for Manufacturing's 'Internet of Things'Cognizant
The deeper meshing of virtual and physical machines offers the potential to truly transform the manufacturing value chain, from suppliers through customers, and at every touchpoint along the way.
From the conference Future Tech in Insurance at Forsikringsakademiet, nov 15 2016. Defining cognitive and how that is relevant for insurance companies.
Keynote presentation at 2017 Smart Buildings Summit (http://www.smartbuildingsummit.com.au/)
Technology is providing new opportunities for investors, tenants, designers and managers of smart, sustainable buildings. Are we finally witnessing the emergence of a new quality of assets that are truly smarter than their predecessors? This presentation will introduce the topic of Smart Buildings and what we can expect the future to hold.
• Smart Buildings defined
• What are the drivers of a Smart Building design?
• Who are the stakeholders who will benefit from a Smart Building?
• What the key technologies can you expect to find in a Smart Building?
The Internet of Things refers to a web of interconnected, interconnected objects where information can be exchanged, and it is possible to collect and transfer data over a wireless network without human intervention. IoT can be classified as a path of communication between the virtual and real world.
Visit at-: https://insellers.com/blogs/
Enabling Service-Delivery Business Models with Remote Sensing TechnologyMark Benson
Presented at Sensors Midwest in Chicago, IL by Mark Benson on September 28th, 2016.
ABSTRACT: IoT device fleets are becoming more pervasive. As devices are becoming connected to the Internet, new possibilities for how to use the data for aftermarket services are opening up. For any IoT solution, there are steps of maturity that occur in sequence: (1) connected, (2) managed, and (3) optimized. Data analytics maturity mirrors these three steps: (1) when devices are connected we can get some descriptive data about them; (2) when devices are managed, we can generate predictive analytics on them to figure out what might happen in the future such as with a motor failure; and (3) we can optimize devices and user interactions by using prescriptive analytics to provide closed loop feedback. This session will lay out the foundations of data analytics and how remote sensing technology can enable a new class of after service-delivery business models.
A look at what is the Internet of Things from the minds at https://losant.com
Truly, it's all about adding value to your life, business, and customers.
Gartner projects more than 20 billion connected IoT devices by end of 2020, http://www.gartner.com/newsroom/id/3165317.
My exact definition is:
The Internet of Things Is a term that represents a collection of ideas, devices, and processes.
Each thing is represented by a device or sensor.
These things are usually working together to create larger solutions by sending and reacting to data from an eco-system.
Internet of Things B2B market study 2016Yoann Kolnik
Internet of things 2016 market study. Designed for companies that expect to take part in the IoT revolution, accelerate growth and leave competition behind
How IoT is changing the agribusiness landscapeSjaak Wolfert
Smart Farming involves many sensing and monitoring devices, intelligent software for analysis & planning and mechatronics/robots closing the cyber-physical farm management cycle. Big Data on prices, markets, consumer behavior, etc. increasingly affect the whole agribusiness providing predictive insights in farming operations, drive real-time operational decisions and redesign business processes for game-changing business models. Major shifts in roles and power relations among different players in food supply chain networks can be expected. This presentation will briefly describe the IoT developments in agri-food business and present the changing business landscape with special attention to the role of software ecosystems in this development.
key note on Big Data in Horticulture, for Vineland Research and Innovation, November, Ontario Canada. (overlaps considerably with the earlier presentation for USDA NIFA in Chicago)
Managing your Assets with Big Data ToolsMachinePulse
This presentation was given by Karthigai Muthu, Lead Big Data Analyst, at a meetup organized by the group Internet of Everything in March 2015.
Through his presentation, Karthik provided a comprehensive understanding of available ecosystem tools and how they can be used to perform data engineering and data analytics. Karthik covers the following topics in his presentation:
• Establishment of complete data pipeline using big data ecosystem tools.
• Tackling of high velocity streams using various stream processing engines on cloud and performing Real Time analytics.
• Tackling of historical data using big data ecosystem tools and migration of traditional infrastructure to big data environments.
• Integration of big data ecosystem for data analysis using SAMOA , R and Mahout.
• Deployments of big data environments on the cloud.
New technologies such as the Internet of Things and Cloud Computing are expected to leverage the current
trend of Smart Farming, introducing more sensors, robots and artificial intelligence, encompassed by the
phenomenon of Big Data.
This presentation will give a quick insight into the state-of-the-art of Big Data applications in Smart Farming
and identify the related challenges that have to be addressed. It shows that the scope of Big Data
applications in Smart Farming goes beyond the farm; it is influencing the entire food supply chain. Big data
are being used to provide predictive insights in farming operations, drive real-time operational decisions, and
redesign business processes for game-changing business models.
It is expected that Big Data will cause major shifts in roles and power relations among different players in
current food supply chain networks. The landscape of stakeholders exhibits an interesting game between
powerful tech companies, venture capitalists and often small startups and new entrants. At the same time
there are several public institutions that publish open data, under the condition that the privacy of persons
must be guaranteed. The future of Smart Farming may unravel in a continuum of two extreme scenarios: 1)
closed, proprietary systems or 2) open, collaborative systems.
The development of data and application infrastructures (platforms and standards) and their institutional
embedment will play a crucial role in the battle between these scenarios. A major challenge is therefore to
cope with governance issues and define suitable business models for data sharing in different supply chain
scenarios.
presentation on ICT at the Global Food Summit Berlin, november 2017 to create awareness that Data creates growth if we pay attention to institutional innovation
Fostering Business and Software Ecosystems for large-scale Uptake of IoT in F...Sjaak Wolfert
The Internet of Things (IoT) is expected to be a real game changer that will drastically improve productivity and sustainability in food and farming. However, current IoT applications in this domain are still fragmentary and mainly used by a small group of early adopters. The Internet of Food and Farm 2020 Large-Scale Pilot (IoF2020) addresses the organizational and technological challenges to overcome this situation by fostering a large-scale uptake of IoT in the European food and farming domain. The heart of the project is formed by a balanced set of multi-actor trials that reflect the diversity of the food and farming domain. Each trial is composed of well-delineated use cases developing IoT solutions for the most relevant challenges of the concerned subsector. The project conducts 5 trials with a total of 19 use cases in arable, dairy, fruits, vegetables and meat production. IoF2020 embraces a lean multi-actor approach that combines the development of Minimal Viable Products (MVPs) in short iterations with the active involvement of various stakeholders. The architectural approach supports interoperability of multiple use case systems and reuse of IoT components across them. Use cases are also supported in developing business and solving governance issues. The IoF2020 ecosystem and collaboration space is established to boost the uptake of IoT in Food and Farming and pave the way for new innovations.
Presentation for a group of employees of Centric, a large software consultancy company. It provides an illustration of how IoT is currently being developed in farming, agri-logistics and food consumption. It also addresses the technical and organizational challenges that have to be overcome to make IoT application in agri-food a success. Open platforms and software development and above all appropriate business models are key issues that have to be addressed. The new EU-project "Internet of Food and Farm 2020" will address these issues by fostering a collaborative IoT ecosystem to upscale the use of IoT in agri-food.
Digital innovation for sustainable food systemsSjaak Wolfert
This presentation will show that digital solutions help addressing multiple sustainability issues, particularly illuminating how producers and consumers can use digitalisation to support a transition towards healthier diets.
Main stage presentation from the smart city conference Nordic Edge in Stavanger. On tech trends, ethical issues and how to build a more resilient way of handling the surveillance capitalism.
Keynote fra Ledelsens Dag 21. november 2018 omkring digitalisering, AI og hvordan vi skal lære at navigere i ekstrem kompleksitet ved at styrke vores grundlæggende dannelse.
Keynote from the digital-ethical hackathon arranged by ACAkademikerne. On (digital) ethics in general, how to handle ethical problems and a bunch of cases illustrating possible ethical issues.
Presented at the Scandinavian IBM graduate conference. On how to become a trusted advisor, defining professional services and how to build your professional eminence.
Presentation by Yours Truly (first part) and Christian Gaardboe Carlsen, Head of Property Excellence at ISS Facility Services from the conference "Vejen til det bygbare projekt" November 21st. Defines aspects of the cognitive building, trends, technologies and tells the story about the IBM-ISS partnership in cognitive buildings and facility management.
Keynote from the IBM Watson Summit 2017 in Copenhagen. Explains that Watson is not a supercomputer but a far-reaching set of capabilities and expresses uses in a number of specific stories to shoe the breadth of Watson.
Hvad sker der når digitalisering bliver ekstrem. Når kunstig intelligens, kognitive systemer og IBM Watson begynder at spise sig ind på jobmarkedet. Hvad sker der og hvad gør vi ved det? Afholdt på VidenDanmark kickoff 8. september 2016.
From the conference "Fremtidens Medarbejder" in Copenhagen June 3rd. Covers IBM's use of internal social business technologies and how that has influenced our way of working, culture etc.
How a Jeopardy-winning machine makes the World a Smarter PlaceKim Escherich
Presentation from a lecture at the IT-university, University of Copenhagen, sept 2013. Covers trends, where is data coming from, what is cognitive computing, what is Watson, how does it work and how to apply to real-world issues.
Presentation from the Markedsføringsdagen 2013 conference, june 12 2013 in Copenhagen. Contains an overview of trends, uses, challenges for the CMO and innovation aspects of big data.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
17. Agriculture and the Internet of Things = really big data
Nitrogen
Sensors
GPS/GIS Data from
Satellites
Drone Sensor
and Image
Transmissions
Weather Data
Crop Modeling
Environmental Data –
temp, humidity,
wind, heat units
Soil Moisture
Sensors
Drip Irrigation
Sensors
Pivot Irrigation
Sensors
Social Media
Yield Sensors on
Harvesting
Equipment
Application
Sensors
for Inputs
Seeding/ Planting
Sensors
Connected Tractors &
Harvesters
18. The IBM portfolio for cognitive IoT
Solutions
Enabling new business
models with integrated
solutions for industry
Applications
Optimizing
operations for
business impact
Platform
Everything you
need to innovate
with IoT
Powered by
IBM Watson
Local
Deployment
Enabled
by IBM Cloud
Connecting the
data that matters
Business
Transformation
Blockchain
Edge
Weather
Non-traditional partners
IoT for [X] industry
Predictive maintenance
Asset management
Facilities & real estate
IoT Product engineering
IoT Platform
26. Smarter Agribusiness means enabling end-to-end visibility across the global
supply chain through more connected, instrumented and intelligent
systems that provide more and better information across the global web of
input suppliers, growers, packers, shippers, processers and retailers
So that:
• resources are managed more efficiently and sustainably
• people have more confidence in the quality and safety of their food
• agriculture productivity increases
• the whole world can put healthy meals on the table
IBM’s vision for “Smarter Agribusiness”
involves the innovative use of technology to
improve food science, safety, sustainability,
production and supply chain efficiencies
27. Agronomics Big
Data Analytics
Precision
Agriculture
Agriculture Supply
Chain Solutions
Preventive Farm
Asset
Maintenance
Food Safety and
Traceability
Marketplace
Analytics
Smarter Crop
Insurance
Sustainability
Calculator
IBM is innovating data-driven insights across the Agriculture value
chain
Agriculture
Insight-as-a-Service
28. IBM is innovating to drive solutions for the Agrifood business
Smarter , Agile Agrifood “Insight as a Service” Business
Soil
Management
Fields
Management
Weather
Forecast
Crops,Cows,… & Growth
Models
Pest & Disease
Models
weathermobile satellite
Private/Hybrid Cloud
Data Sources
IBM Cloud
Large Scale
Data Ingestion
Massive Scale
SQL/NoSQL store
Spatio Temporal
Integration
Big data
processing
Large Scale
Analytics
High Performance Computing Streams Predictive Optimization
Acquired
Data
Qualified
Data
Enriched
Data
Insight Data
Context Models
& Data
Agrifood
Corpus
Watson for
Agriculture
Crop physical models Field management
Prediction
Nutrient
Management
Automation
Irrigation
Weather
Government/Universities
Go to
Market
Channels
Seed & Crop Protection &
Nutrient companies
Agribusiness companies
Cooperatives
Precision Ag Companies
soil
First
party
data
Second
party
data
Third
party
datatopography Land-use Irrigationyield equipments Literature
Food Container
Food Processing,
Food Distribution,
Food Logistics Management
Supply
Chain
Cold Chain
Monitoring
Food
Conservation
Food Branding,
Food retail
Food Value Management
Local, sustainable, healthy
food, food branding
E-commerce fresh food &
delivery
Waste
reduction
Agrifood
Use
Cases
External
Data
Social
Media
data
Public
Opinion Consumer
Data
Disease
Monitoring
Climate,Food,
Agri Policies
Food Consumer
IBM Watson IoT Platform
IBM PAIRS
29. Structured, Unstructured, Internal, or
External can all be indexed together in
a unified view for the end user.
“They don’t want the systems
to make decisions.
They want the system to help
wade through all the data that
exists and put the relevant
pieces in front of them so they
can make better decisions”
Consider Watson a very smart
assistant to yourAgronomist.
John Gordon, IBM Watson Group
30. 30
Source: McKinsey: The Age of Analytics – Competing in a data-driven world
http://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/the-age-of-analytics-competing-in-a-data-driven-world
A COGNITIVE BUSINESS HAS SYSTEMS THAT CAN ENHANCE DIGITAL INTELLIGENCE EXPONENTIALLY.
Key to attaining a richer digital intelligence are cognitive systems.
With analytics, we get key insights from data, but with cognitive systems, we can turn those key insights into knowledge.
Traditional computing is programmed (rules-based, logic-driven, dependent on organized information), but cognitive systems are probabilistic (they learn systematically, they are not dependent on rules, they handle disparate and varied data).
Cognitive systems can understand unstructured information such as the imagery, natural language and sounds in books, emails, tweets, journals, blogs, images, sound and videos.
They unlock meaning because they can reason through it, giving us new contexts to weigh and consider.
Cognitive systems also learn continually, honing our own expertise so we can immediately take more informed actions.
And they interact with us and with our customers, dissolving barriers between humans and machine, fueling unique, essential user experiences.
Notes for presenter:
This slide can be inserted after or in place of slide 9 (The IBM portfolio for cognitive IoT)
Here is how this depiction of the portfolio relates to the three areas on slide 9:
“Platform” on this slide – relates to Cloud-based platform for development and production on slide 9
“Applications” and “Solutions” on this slide – relate to Software and services tailored to specific industry needs on slide 9
“Powered by Watson” on this slide – relates to IBM Watson cognitive computing application programming interfaces (APIs), software and services on slide 9
Slides 19–21 drill down on specific offerings and capabilities within platform, applications, and solutions
This graphic enables you to tell a fuller story, adding the following elements:
Connecting the data that matters
IBM makes connecting devices easy
We have a vibrant, ever-expanding ecosystem of ecosystem partners, including silicon and device manufacturers
We are working with AT&T, National Instruments, ARM, Semtech, The Weather Company and more to ensure the secure and seamless integration of data services and solutions on IBM’s open platform
We actively contribute to open source and participate in standards bodies to drive ecosystem-wide interoperability, security, scalability.
We are working with Industrial Internet Consortium, LoRa Alliance, Open InterConnect, and Allseen Alliance
Enabled by IBM Cloud
IBM operates more than 41 cloud data centers in the Americas, Asia, Australia and Europe
This enables customers to provision cloud resources exactly where and when they need them to minimize network latency, improve application performance, and comply with local data regulations
Local Deployment
IBM also supports local on-premise deployment and hybrid cloud
Business transformation
All of these portfolio elements work together to achieve the end state of business transformation, which can be driven by any or all of the three key IoT outcomes: boosting operational efficiency, transforming the customer experience/relationship, or driving industry disruption
So Blockchain technology comprises these four main blocks, that can lead to increased efficiencies, and cost reduction across the business network.
We will “unpack” CONSENSUS PRIVACY & SMART CONTRACT in the next couple of slides.
Shared LEDGER has been already covered, and a SMART CONTRACT enables the business rules implied by the contract to be embedded in the Blockchain and executed with the transaction
So Blockchain technology comprises these four main blocks, that can lead to increased efficiencies, cost reduction, and decrease risk across the business network.
A blockchain contains the shared LEDGER, which has already been covered. It has a SMART CONTRACT the enables the business rules implied by the contract to be embedded in the Blockchain and executed in the transaction. As part of the blockhain, our view is that it must be PERMISSIONED… ensuring that transactions are appropriate, secure, and validated. CONSENSUS is the concept that all parties agree to the networked transaction.
So Blockchain technology comprises these four main blocks, that can lead to increased efficiencies, and cost reduction across the business network.
We will “unpack” CONSENSUS PRIVACY & SMART CONTRACT in the next couple of slides.
Shared LEDGER has been already covered, and a SMART CONTRACT enables the business rules implied by the contract to be embedded in the Blockchain and executed with the transaction
Other benefits include :
Improve discoverability
When everyone on an exchange can view the same ledger, it is easy to broadcast an intention (or offer) by appending it. For example, in a trading network, all asks and bids would be visible to every network participant.
Automate trusted processes
Unlike a centralized system where only the network operator can create a generalized solution that fits every user’s needs, Blockchain networks allow each participant to create customized solutions using their own proprietary business logic while running on the same common ledger.
Ensure trusted record-keeping
By design, no one party can modify, delete, or even append any record to the ledger without the consensus from others on the network, making the system useful for ensuring the immutability of contracts and other legal documents.
Traceability can be extended as a use case from the whole idea of ‘farm to fork’ traceability for product safety and recalls, to provenance of the authenticity of a product --- in the prevention of fraud, to government compliance – to show for instance that we are not doing forced labor or child labor as part of our international supply chain, to proving food is organic.
Other extensions of the area of traceability include the pharma industry – being able to better track prescriptions and controlled substances.
When blockchains track the movement of objects through the supply chain they can also note how individual ingredients combine to form a newly manufactured item. This proving out allows an end user to know exactly what went into the product even if it has been through multiple manufacturing steps at different companies.
These moments show how in a future with blockchains, our experience producing and consuming food could be quite different than it is today. At the core of this is the ability to assign identity to people, to organizations, and to goods, to track in a transparent way the provenance of goods as they pass from one organization to the next, and lastly, as goods change hands, to exchange payment between the two organizations.
Food is a compelling supply chain because we’re deeply sensitive to where our meals come from, and how they arrived at our plate, but importantly the human-scale impact of blockchains could be felt throughout the world’s supply chains.
Blockchain can track what went into a product, and who handled it along the way, revealing the provenance of a product to everyone involved, from origin to end user. BCs offer a way to introduce transparency into supply chains and to create entirely new opportunities for participation.
As a shared, secure record of exchange, blockchains can track what went into a product and who handled it along the way, breaking supply chain data out of silos, and revealing the provenance of a product to everyone involved from originator to end user.
Food products require consumer trust: trust that the kitchen that made the product X is sanitary, that the ingredients that went into it are fresh, and that product X tastes good. This trust is critical, but there’s so much more we could know. We could create entirely new relationships with the stuff we buy, namely where it came from and how it arrived in our hands
26
Breadth of Expertise -useful data analytic tools in the industry is still a work in progress. It is easier today to collect agronomic and machine data. That requires solving a logistics problem. But finding a platform that can crunch the numbers and provide a farmer with useful, practical information that improves their farming practices is more difficult.
Door de digitalisering van je productie, kun je de waarde van jullie fysische producten (smaak, origine, ecologische voetafdruk, fairtrade label, waterverbruik) zichtbaar maken.
Je kunt je ecologische, fairtrade waarde per koe/varken/kip of per container van je gewas/veld digitaal zichtbaar, traceable en auditable maken
Je supply chain partners verderop de ketting, kunnen deze waarde zichtbaar houden en valoriseren naar de consument toe