Data science vision and roadmap, IBM research highlights 5 in 5
Presentation delivered to Consultant System Integrators's event run in IBM Client Center Montpellier
David Mattin - Human after all: new technologies and the search for meaningNEXTConference
We all want to fix digital. But if we want the next wave of technologies – AI, VR, robotics and more – to shape a better future, we need to understand where they are leading us. The way to do that? View these transformative technologies through the lens of our age-old, evolutionary human nature. In this fast-paced session TrendWatching’s Global Head of Trends and Insights, David Mattin, argues that the coming wave of digital technologies will transform the search for connection, status and belief in the 21st-century. New trends in lifestyles, behaviours and mindsets will mean huge opportunities for innovators – and huge new challenges for us as individuals and societies. Are we ready?
AI - introduction to the latest state, issues and challenges
Presented by Mr Stephen Ibaraki, Founding Chair of Global Industry Council, Chairman, Outreach Board of ITU “ICT Discoveries” Journal, Advisor of board within IEEE
at the UN briefing on AI, the UN Headquarters in New York, 20 April 2017
Trends and challenges for Digital Health Technology reaching peopleSpeck&Tech
ABSTRACT: The real impact of healthcare goes much beyond technology. Current tech stacks allow us to solve most of the challenges faced by innovators, but still, Digital Health is not a common practice in everyday lives. In this talk, we will go deep on how health data is being used to bring value to healthcare and the challenges this faces. We will also explore some of the main challenges of Health Data today in Europe, and discuss how technology can come to the rescue, from blockchain storage to distributed computing.
BIO: Miguel Amador is the current President of the EIT Health Alumni, which aims to be the largest community of health innovators around Europe. He is also a Ph.D. candidate in Bioengineering Systems at Instituto Superior Técnico (IST) in Lisbon, under the MIT Portugal Program, focusing on Public Policies to foster Health Innovation using real-world data. In 2014, he was awarded a Fulbright Fellowship to the MIT Center for Biomedical Innovation, in Boston, USA. He is also the founder of Pi Ventures, a Company Builder supporting innovation in Digital Health, from which he is building several ventures ranging from AI for diagnostics, to regulatory technology for Digital Health, and a new class of ink for printed biosensors and electronics. Previously, Miguel was the Head of Operations of UTRUST, a cryptopayments startup, which he joined after his role as Manager of the HealthTech and NanoTech Programs at Startup Braga, incubator and accelerator of new tech-based businesses in Braga, Portugal.
Artificial intelligence : Basics and application in AgricultureAditi Chourasia
Agriculture is the mainstay of Indian economy as about 60% of our population depends directly or indirectly on agriculture.Exploration of technology in digital world gave birth to a whole new field of making intelligent machines i.e. Artificial intelligence (AI). AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, AI is steadily emerging as part of the Agricultural industry’s technological evolution. The automation in agriculture is the main concern and the emerging subject across the world. AI in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.Technological advancement in the future will provide more useful applications to the sector helping the world deal with various farming challenges used to be faced in traditional agricultural practices.
David Mattin - Human after all: new technologies and the search for meaningNEXTConference
We all want to fix digital. But if we want the next wave of technologies – AI, VR, robotics and more – to shape a better future, we need to understand where they are leading us. The way to do that? View these transformative technologies through the lens of our age-old, evolutionary human nature. In this fast-paced session TrendWatching’s Global Head of Trends and Insights, David Mattin, argues that the coming wave of digital technologies will transform the search for connection, status and belief in the 21st-century. New trends in lifestyles, behaviours and mindsets will mean huge opportunities for innovators – and huge new challenges for us as individuals and societies. Are we ready?
AI - introduction to the latest state, issues and challenges
Presented by Mr Stephen Ibaraki, Founding Chair of Global Industry Council, Chairman, Outreach Board of ITU “ICT Discoveries” Journal, Advisor of board within IEEE
at the UN briefing on AI, the UN Headquarters in New York, 20 April 2017
Trends and challenges for Digital Health Technology reaching peopleSpeck&Tech
ABSTRACT: The real impact of healthcare goes much beyond technology. Current tech stacks allow us to solve most of the challenges faced by innovators, but still, Digital Health is not a common practice in everyday lives. In this talk, we will go deep on how health data is being used to bring value to healthcare and the challenges this faces. We will also explore some of the main challenges of Health Data today in Europe, and discuss how technology can come to the rescue, from blockchain storage to distributed computing.
BIO: Miguel Amador is the current President of the EIT Health Alumni, which aims to be the largest community of health innovators around Europe. He is also a Ph.D. candidate in Bioengineering Systems at Instituto Superior Técnico (IST) in Lisbon, under the MIT Portugal Program, focusing on Public Policies to foster Health Innovation using real-world data. In 2014, he was awarded a Fulbright Fellowship to the MIT Center for Biomedical Innovation, in Boston, USA. He is also the founder of Pi Ventures, a Company Builder supporting innovation in Digital Health, from which he is building several ventures ranging from AI for diagnostics, to regulatory technology for Digital Health, and a new class of ink for printed biosensors and electronics. Previously, Miguel was the Head of Operations of UTRUST, a cryptopayments startup, which he joined after his role as Manager of the HealthTech and NanoTech Programs at Startup Braga, incubator and accelerator of new tech-based businesses in Braga, Portugal.
Artificial intelligence : Basics and application in AgricultureAditi Chourasia
Agriculture is the mainstay of Indian economy as about 60% of our population depends directly or indirectly on agriculture.Exploration of technology in digital world gave birth to a whole new field of making intelligent machines i.e. Artificial intelligence (AI). AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, AI is steadily emerging as part of the Agricultural industry’s technological evolution. The automation in agriculture is the main concern and the emerging subject across the world. AI in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.Technological advancement in the future will provide more useful applications to the sector helping the world deal with various farming challenges used to be faced in traditional agricultural practices.
The use of technology and artificial intelligence in agriculture is more common every day. In Summar Financial we focus our efforts on helping the United States leading companies to expand the market. Join us and ask for our finance programs!
BA and Beyond 19 - Jack Esselink - Mastering data in exponential timesBA and Beyond
Data is growing at an exponential pace these days. According to an IBM study 90% of all the world's data has been generated in the last 2 years alone. This offers endless opportunities for organizations to tap into, however reality has it there's lots of room for improvement here. In this session Jack Esselink will discuss the latest developments in data analytics and what pivotal role the Business Analyst can play to leverage data as a strategic asset.
- Why data and analytics matter in these exponential times
- What are the latest developments in the data analytics area (think - AI, deep learning etc)
- What steps should a BA take to become proficient in data analytics
23 9150 survey of ict knowledge based agriculture dev edit septianIAESIJEECS
E-agriculture gives to applying new things to use ICTs in the country, with the main heart on agricultural. ICT in Agriculture provides a wide range of solutions to some farming ideas. The rising field focuses on the development of agricultural and rural advance through improved information and communication. This time, ICT is used as around all information and communication developments including Android mobiles, IOT devices, communication networking devices, web services; this variety from original Internet-era technologies and sensors to other pre-accessible aids such as TV, satellites, and radios. This technique continues to evolve in scope as new ICT applications continue to be harnessed in the agriculture industries. It involves the concept, development, design, application, and evaluation of novel ways to use ICTs in the rural domain, with the main focus on cultivation. This includes principles, norms, methods, and apparatus as well as the growth of personality and institutional capacity, and policy hold is all key mechanism of e-agriculture.
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
Artificial intelligence — creator, operator and destroyer, story of brahma, v...Yogesh Malik
Artificial intelligence — creator, operator and destroyer, story of brahma, vishnu and; mahesh
Artificial Intelligence might be producing a useless class of human, Artificial Intelligence might beat us at everything by 2060, or like what Stephen Hawking warned us that Artificial Intelligence could end mankind.
Future Management Challenges :: Making Better Decisions Today -- Looking at Challenges in 21st Century -- Most significant changes affecting organizations know no borders or markets and affect every part of society today and tomorrow. Countries, governments, businesses, and institutions continue to witness ever increasing surprise as complexity increases. New surprises impact us far faster, and more profoundly, than we might think, e.g., pandemics, changing weather conditions, terrorist events, health crises, altered social values, economic and political uncertainties, and technological advances.
Organizations, too, face additional new challenges including:
1. Intelligence
2. Climate
3. Water
4. Cities
5. Consumer
6. Education
7. Energy
8. Food
9. Health
10. Manufacturing
11. Poverty
12. Resources
13. Security
14. Geopolitics
15. Science
Dr. Michael Jackson, a founder member and chairman of Shaping Tomorrow not only listed major challenges above, but also gave the scenario lenses with Implications for Asia. His Shaping Tomorrow is a futures intelligence, trends research tool and knowledge management portal (website) that helps people and organizations to better anticipate what's next through collaborative foresight.
We Get What We Ask For: Towards a New Distributional EconomicsTim O'Reilly
My keynote at the Venturebeat Blueprint conference in Reno, NV on March 6, 2018. The bad maps that are holding us back from building a better world. Technology need not eliminate jobs. It could be helping us tackle the world's great problems, and helping design marketplaces that ensure a more equitable distribution of the proceeds from doing so. The narrative that goes with the deck is in the speaker notes. There is also a summary and link to the video at https://venturebeat.com/2018/03/06/tim-oreilly-to-tech-companies-use-a-i-to-do-more-than-cut-costs/
Use of It in Agriculture. There are several examples but for example one is addressed. For another green revolution IT is must and farmers should be educated.
We are living in the world of “Big Data”. “Big Data” is mainly expressed with three Vs – Volume, Velocity and Variety. The presentation will discuss how Big Data impacts Pharmaceutical Industry and how drug companies can lead this new Big Data environment.
Lecture on "Machine Learning Applications in Healthcare" delivered by Darlington Akogo, Founder, CEO, and Director of Artificial Intelligence, minoHealth AI Labs.
What Do World Class Innovators Do That Others Don't Do?UBMCanon
Jim Carroll, Author, Columnist, Futurist, Innovation and Trends Expert
Jim Carroll is one of the world's leading international futurists, trends and innovation experts, with a client list that ranges from Northrop Grumman to Johnson & Johnson, the Swiss Innovation Forum to the National Australia Bank; the Walt Disney Organization to NASA. His focus is on helping to transform growth oriented organizations into high-velocity innovation heroes.
He has a unique professional background as a Fellow Chartered Accountant, author, and frequent speaker at corporate and association events. Jim loves to golf, but isn't very good at it, which caused him some amazement when he was invited to open the 94th Annual General Meeting of the PGA -- the Professional Golf Association of America -- to challenge 500 golf pros as to how to think about innovation and future trends.
Jim was the first speaker the PGA has ever engaged to speak at their AGM, and has high hopes that he has helped to shape the future direction of the world's largest sport. He's also hoping to inspire you in a similar way.
The use of technology and artificial intelligence in agriculture is more common every day. In Summar Financial we focus our efforts on helping the United States leading companies to expand the market. Join us and ask for our finance programs!
BA and Beyond 19 - Jack Esselink - Mastering data in exponential timesBA and Beyond
Data is growing at an exponential pace these days. According to an IBM study 90% of all the world's data has been generated in the last 2 years alone. This offers endless opportunities for organizations to tap into, however reality has it there's lots of room for improvement here. In this session Jack Esselink will discuss the latest developments in data analytics and what pivotal role the Business Analyst can play to leverage data as a strategic asset.
- Why data and analytics matter in these exponential times
- What are the latest developments in the data analytics area (think - AI, deep learning etc)
- What steps should a BA take to become proficient in data analytics
23 9150 survey of ict knowledge based agriculture dev edit septianIAESIJEECS
E-agriculture gives to applying new things to use ICTs in the country, with the main heart on agricultural. ICT in Agriculture provides a wide range of solutions to some farming ideas. The rising field focuses on the development of agricultural and rural advance through improved information and communication. This time, ICT is used as around all information and communication developments including Android mobiles, IOT devices, communication networking devices, web services; this variety from original Internet-era technologies and sensors to other pre-accessible aids such as TV, satellites, and radios. This technique continues to evolve in scope as new ICT applications continue to be harnessed in the agriculture industries. It involves the concept, development, design, application, and evaluation of novel ways to use ICTs in the rural domain, with the main focus on cultivation. This includes principles, norms, methods, and apparatus as well as the growth of personality and institutional capacity, and policy hold is all key mechanism of e-agriculture.
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
Artificial intelligence — creator, operator and destroyer, story of brahma, v...Yogesh Malik
Artificial intelligence — creator, operator and destroyer, story of brahma, vishnu and; mahesh
Artificial Intelligence might be producing a useless class of human, Artificial Intelligence might beat us at everything by 2060, or like what Stephen Hawking warned us that Artificial Intelligence could end mankind.
Future Management Challenges :: Making Better Decisions Today -- Looking at Challenges in 21st Century -- Most significant changes affecting organizations know no borders or markets and affect every part of society today and tomorrow. Countries, governments, businesses, and institutions continue to witness ever increasing surprise as complexity increases. New surprises impact us far faster, and more profoundly, than we might think, e.g., pandemics, changing weather conditions, terrorist events, health crises, altered social values, economic and political uncertainties, and technological advances.
Organizations, too, face additional new challenges including:
1. Intelligence
2. Climate
3. Water
4. Cities
5. Consumer
6. Education
7. Energy
8. Food
9. Health
10. Manufacturing
11. Poverty
12. Resources
13. Security
14. Geopolitics
15. Science
Dr. Michael Jackson, a founder member and chairman of Shaping Tomorrow not only listed major challenges above, but also gave the scenario lenses with Implications for Asia. His Shaping Tomorrow is a futures intelligence, trends research tool and knowledge management portal (website) that helps people and organizations to better anticipate what's next through collaborative foresight.
We Get What We Ask For: Towards a New Distributional EconomicsTim O'Reilly
My keynote at the Venturebeat Blueprint conference in Reno, NV on March 6, 2018. The bad maps that are holding us back from building a better world. Technology need not eliminate jobs. It could be helping us tackle the world's great problems, and helping design marketplaces that ensure a more equitable distribution of the proceeds from doing so. The narrative that goes with the deck is in the speaker notes. There is also a summary and link to the video at https://venturebeat.com/2018/03/06/tim-oreilly-to-tech-companies-use-a-i-to-do-more-than-cut-costs/
Use of It in Agriculture. There are several examples but for example one is addressed. For another green revolution IT is must and farmers should be educated.
We are living in the world of “Big Data”. “Big Data” is mainly expressed with three Vs – Volume, Velocity and Variety. The presentation will discuss how Big Data impacts Pharmaceutical Industry and how drug companies can lead this new Big Data environment.
Lecture on "Machine Learning Applications in Healthcare" delivered by Darlington Akogo, Founder, CEO, and Director of Artificial Intelligence, minoHealth AI Labs.
What Do World Class Innovators Do That Others Don't Do?UBMCanon
Jim Carroll, Author, Columnist, Futurist, Innovation and Trends Expert
Jim Carroll is one of the world's leading international futurists, trends and innovation experts, with a client list that ranges from Northrop Grumman to Johnson & Johnson, the Swiss Innovation Forum to the National Australia Bank; the Walt Disney Organization to NASA. His focus is on helping to transform growth oriented organizations into high-velocity innovation heroes.
He has a unique professional background as a Fellow Chartered Accountant, author, and frequent speaker at corporate and association events. Jim loves to golf, but isn't very good at it, which caused him some amazement when he was invited to open the 94th Annual General Meeting of the PGA -- the Professional Golf Association of America -- to challenge 500 golf pros as to how to think about innovation and future trends.
Jim was the first speaker the PGA has ever engaged to speak at their AGM, and has high hopes that he has helped to shape the future direction of the world's largest sport. He's also hoping to inspire you in a similar way.
A Journey Towards Trustworthy AI (#AIFightsBack webinar)Ruth Kearney
Everyone has a part to play to make sure responsible and trustworthy AI solutions are delivered. Technologist Clare Dillon uncovers some thought-provoking examples of AI "fails". She also shares practical tips and insights into how to avoid the potential ethical pitfalls associated with building or buying AI applications.
Big data in foods & IBM Chef Watson agrofood parkAnders Quitzau
Presentation given @Agrofood Park on May 28, 2015. The presentation defines big data in relation to agriculture and foods, challenges and opportunities. And as a pragmatic, yet sophisticated and hi-tech example, describes how IBM Chef Watson applies big data when creating innovative new recipes.
هذة المحاضرة فى فاعليات المؤتمر العلمي السادس والعشرون لنظم المعلومات وتكنولوجيا الحاسبات "ثورة البيانات لتعزيز التخطيط القومي والتنمية المستدامة” 13 مارس 2019
تحت رعاية أ.د. هالة حلمي السعيد وزيرة التخطيط والمتابعة والإصالح الإداري رئيس مجلس إدارة معهد التخطيط القومي
Connected Farms ...and the Digital CatapultChandan Rajah
Presented at the "Towards a Connected Farm" workshop conducted by the Satellite Applications Catapult, this presentation highlights the ideas and trends while moving towards a connected farm.
It has been said that Mobiles +Cloud + Social + Big Data = Better Run The World. IBM has invested over $20 billion since 2005 to grow its analytics business, many companies will invest more than $120 billion by 2015 on analytics, hardware, software and services critical in almost every industry like ; Healthcare, media, sports, finance, government, etc.
It has been estimated that there is a shortage of 140,000 – 190,000 people with deep analytical skills to fill the demand of jobs in the U.S. by 2018.
Decoding the human genome originally took 10 years to process; now it can be achieved in one week with the power of Analytic and BI (Business Intelligence). This lecture’s Key Messages is that Analytics provide a competitive edge to individuals , companies and institutions and that Analytics and BI are often critical to the success of any organization.
Methodology used is to teach analytic techniques through real world examples and real data with this goal to convince audience of the Analytics Edge and power of BI, and inspire them to use analytics and BI in their career and their life.
Big Data: Impact on Global Health and Clinical Decision MakingBedirhan Ustun
A primer on Big Data and some warnings:
Big Data is not a FAD
YOU are already using it…
It is here to stay
Big Data has Minimal Structure
Big Data Is usually Raw Data
It is NOT like a typical Relational Database
Big Data is available - and Less Expensive
Big Data is not collected for a purpose - has no map
It is your business – your time and money is at work
Jim discusses how Canada is currently positioned to take advantage of the data deluge, and how a range of stakeholders are involved in ongoing discussions to ensure Canada has the policies, infrastructure and tools to leverage this rich resource.
This webinar covers the highlights of the World Economic Forum meeting in Davos, including responsible AI, the future of food, integrated retail and the blockchain.
IoT LPWANs Global Economic Impact opportunitiesMatthew Bailey
Presentation to TechRiot businesses on the IoT, global market opportunities, climate change, the rise of urban mega cities and how humanity and the planet could co-evolve in synchronicity.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
2. Data science is a "concept to unify statistics,
data analysis and their related methods" in
order to "understand and analyze an actual
phenomena" with data.
6. Healthcare
Government
Financial Services
Healthcare
Industry Cloud
IoT
Blockchain
Cognitive Robotics
Financial Services
Accessibility
Green Horizon Energy
OpenPOWER Cloud
Cognitive Health
National Skilling
Education
Healthcare
Cognitive AMS & Finance
Cognitive
Healthcare
IoT & Mobile
Security
Security
Analytics
Nanotechnology
Exascale
Healthcare
Cognitive IoT
Data Centric Computing
Big Data & Cognitive
Cloud
Core Technologies
Quantum Computing
POWER
Mobile
Aging
Cognitive Oil & Gas
Insurance Analytics
Industry Cloud
Big Data
Nanomaterials
Neurosynaptics
8. IBM’s 5 in 5
predicts five
technologies that
will fundamentally
reshape business
and society in the
next five years.
#Twinning
Plastic Surgery Spoiler Alert
Dinner Plate
Detectives
Culture Club
9. Worldwide population is
growing… Fast !
• In 2050, we will probably be more than 10 Billion
people on Earth,
• While farmable lands will deacrease by 20%.
• We need to find a better way to feed the people
without harming our planet.
10. Feed the earth
Analyse farmlands
Prepare the soils
CAROLINA
Collect, organize, analyze, trust, infuse
11. Feed the earth
Analyse farmlands
Prepare the soils
Challenges:
• Provide agriculture ecosystem with
hyperlocal tailored data insights.
• Work with a considerable amount of data
from various formats.
How ?
• Bring analytics to the data.
• Avoid data preparation.
IBM PAIRS Geoscope
12. IBM Watson Decision for Agriculture
A large amount of ressources are wasted due to
diseases or loss…
We need to accelerate data insights and prediction.
13. Feed the earth
Analyse farmlands
Prepare the soils
Collect, organize, analyze, trust, infuse
14. …the airbnb of tractors
Hello tractor
In Africa,
more than 60% of crops are managed
manually with less than 20% managed
by tractors.
up to 50% of farmers suffer post-
harvest losses annually due to poor
planting practices.
IBM AgroPad
15. Feed the earth
Analyse farmlands
Prepare the soils
Collect, organize, analyze, trust, infuse
16. WMaasp
Water Management Service Platform
Only 9 out of 55 public water service
providers in Kenya provide continuous
supply…
…leaving people to find their own ways of
searching for appropriate solutions to basic
needs.
The Kenya RAPID program has helped
268,000 people and close to half a
million animals gain access to safe
drinking water.
17. Yara and IBM join forces to transform the future of
farming
• Feed a growing population without
increase worldwide deforestation.
• Yara and IBM will combine world-class
agronomy and cutting-edge technology to
develop the world's leading global digital
farming platform.
18. IBM’s global research capability
Australia
Tokyo
China
Almaden
Haifa
Zurich
Africa
Ireland
Brazil
Yorktown
Austin
India
IBM research labs
Plateform for agriculture
19. IBM’s global research capability
Australia
Tokyo
China
Almaden
Haifa
Zurich
Africa
Ireland
Brazil
Yorktown
Austin
India
Augmented agriculture is for now
21. The food supply chain
The ability to constantly and cheaply monitor the behaviors
of microbes at every stage of the supply chain represents a
huge leap in food safety.
Traditional culture test could take days to perform and may
only indicate the existence of one target problematic
bacteria. This inability to proactively sound an alarm bell
about a potential anomaly in a microbiome costs
governments and companies billions of dollars.
OBJECTIVE : Map all the microbes and identify the bad
from the good
22. Taking a new approach for Food Safety…
Within five years, food safety inspectors around the world
will gain a new superpower: the ability to understand how
millions of microbes coexist within the food supply chain:
food safety becomes predictive instead of reactive.
Why is it important ?
3000 deaths in the US linked to food-borne illnesses
$9 billion in medical costs
$75 billion in recalls and destroyed food annually
25. You and Us
• Infuse data science
• Improve data governance
• Evolve information architecture
• Focus on ethics & transparency to be succesfull with
augmented Intelligence
To accelerate data insight