The document discusses how artificial intelligence and cognitive computing can be used to make precise decisions by leveraging large amounts of data through techniques like natural language processing, machine learning, and deep domain expertise. It provides examples of how IBM is applying these technologies through its Watson platform to support decision making across different industries. The goal is to help reduce wasteful spending and risk through more informed and precise decisions.
Sldies I proposed for the lecture at CUOA Business School for the 2016 Edition of the Executive Master on ITC - Path Big Data e Social Analytics - http://www.cuoa.it/ita/formazione/corsi-executive/jobleader-big-data-e-social-analytics.php#/
How Artificial Intelligence (AI) Is Used To Make BeerBernard Marr
Are AI machines going to take over our brewpubs? Unlikely, but it is almost certain that breweries will continue to use AI and data to create new beer recipes and optimize existing formulations. Here are some ways AI is currently used in beer making.
Had the great privilege to deliver this presentation at one of Europe's finest alternative tech conferences. Enjoyed it immensely. Check it out http://brainbar.com/#speakers and join next year!
Edelman’s 2019 Artificial Intelligence (AI) Survey compares the U.S. general public’s perceptions of AI with those of senior tech executives who have a front row seat on AI development and deployment.
Respondents in both survey groups clearly see the potential upsides of AI, but also significant problems; 60 percent of the general public and 54 percent of tech executives agree that regulation of AI is critical for its safe development.
While 91 percent of tech executives and 84 percent of the general public believe that AI constitutes the next technology revolution, there are very real concerns about its impact on society, business and government. These range from smart toys that could invade children’s privacy to negative impacts on the poor to a loss of human intellectual capabilities.
About a third of both groups believe AI-powered “deepfake” videos (videos or audio recordings that are doctored to alter reality) could lead to an information war that, in turn, might lead to a shooting war (30 percent of the general population; 33 percent of tech executives).
Among the key findings:
54 percent of the general public and 43 percent of tech executives say AI will hurt the poor, and 67 percent and 75 percent, respectively, believe it will benefit the wealthy;
71 percent of the general public and 65 percent of tech executives worry that AI will lead to a loss of human intellectual capabilities;
74 percent of the general population and 72 percent of tech executives say that smarter AI-powered devices will lessen the need for people to interact with others, leading to more isolation;
81 percent within the general population and 77 percent of tech executives believe that advances in AI will likely cause a reactionary response from a society that feels threatened;
51 percent of the general population and 45 percent of tech executives state that AI-powered deepfake videos could mean that no information is believable and that they are highly corrosive to public trust.
The research was developed by the Edelman AI Center of Expertise with input from the World Economic Forum.
Sldies I proposed for the lecture at CUOA Business School for the 2016 Edition of the Executive Master on ITC - Path Big Data e Social Analytics - http://www.cuoa.it/ita/formazione/corsi-executive/jobleader-big-data-e-social-analytics.php#/
How Artificial Intelligence (AI) Is Used To Make BeerBernard Marr
Are AI machines going to take over our brewpubs? Unlikely, but it is almost certain that breweries will continue to use AI and data to create new beer recipes and optimize existing formulations. Here are some ways AI is currently used in beer making.
Had the great privilege to deliver this presentation at one of Europe's finest alternative tech conferences. Enjoyed it immensely. Check it out http://brainbar.com/#speakers and join next year!
Edelman’s 2019 Artificial Intelligence (AI) Survey compares the U.S. general public’s perceptions of AI with those of senior tech executives who have a front row seat on AI development and deployment.
Respondents in both survey groups clearly see the potential upsides of AI, but also significant problems; 60 percent of the general public and 54 percent of tech executives agree that regulation of AI is critical for its safe development.
While 91 percent of tech executives and 84 percent of the general public believe that AI constitutes the next technology revolution, there are very real concerns about its impact on society, business and government. These range from smart toys that could invade children’s privacy to negative impacts on the poor to a loss of human intellectual capabilities.
About a third of both groups believe AI-powered “deepfake” videos (videos or audio recordings that are doctored to alter reality) could lead to an information war that, in turn, might lead to a shooting war (30 percent of the general population; 33 percent of tech executives).
Among the key findings:
54 percent of the general public and 43 percent of tech executives say AI will hurt the poor, and 67 percent and 75 percent, respectively, believe it will benefit the wealthy;
71 percent of the general public and 65 percent of tech executives worry that AI will lead to a loss of human intellectual capabilities;
74 percent of the general population and 72 percent of tech executives say that smarter AI-powered devices will lessen the need for people to interact with others, leading to more isolation;
81 percent within the general population and 77 percent of tech executives believe that advances in AI will likely cause a reactionary response from a society that feels threatened;
51 percent of the general population and 45 percent of tech executives state that AI-powered deepfake videos could mean that no information is believable and that they are highly corrosive to public trust.
The research was developed by the Edelman AI Center of Expertise with input from the World Economic Forum.
3 Steps To Tackle The Problem Of Bias In Artificial IntelligenceBernard Marr
Artificial intelligence (AI) is facing a problem: Bias. As more and more decisions are being made by AIs, this is an issue that is important to us all. In this article we look at some key steps you can take to ensure AIs of the future are not biased against, e.g., race, gender, sexuality, etc.
The Cloud may invoke images of effervescence that leaves no trace,
but in reality the Cloud means just another data center, along with the
accompanying Carbon Footprint. The issue of being Green has never
been higher on the agenda, but how do professionals feel about Green IT,
and how does this vary either side of the Atlantic? This paper compares
the enthusiasm for Green IT between the US and Europe.
The article illustrates the key vital elements of artificial Intelligence impacts and effects on the corporate domain in perspective. It contemplates the issues and problems and also suggestive solutions in brief..
It serves as a guideline to the corporate mangers to get the insights into the latest research findings
Artificial Intelligence For Good - Also Makes Business SenseBernard Marr
Artificial Intelligence (AI) has the potential to do a lot of good in the world. In this post we look at how AI has been used to tackle some of the world’s biggest challenges and why doing so is also good for business.
Reinventing Healthcare to Serve People, Not InstitutionsTim O'Reilly
My talk at South by Southwest on March 16, 2015. I use examples from consumer technology (the Apple Store, Uber/Lyft, and Google Now) to show where "the bar" is now for user experience, and what that should teach us about how to redesign healthcare. I also talk about the work of Code for America to debug the UX for CalFresh and MediCal.
Presented at the Healthcare CEO50 Certificate Program, School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 4, 2021
Frankie Rybicki slide set for Deep Learning in Radiology / MedicineFrank Rybicki
These are my #AI slides for medical deep learning using #radiology and medical imaging examples. Please use them & modify to teach your own group about medical AI.
An Introduction to Bioinformatics
Drexel University INFO648-900-200915
A Presentation of Health Informatics Group 5
Cecilia Vernes
Joel Abueg
Kadodjomon Yeo
Sharon McDowell Hall
Terrence Hughes
Big data in the real world opportunities and challenges facing healthcare -...Leo Barella
The Healthcare system will be target of major disruption more than any other industry in the next 10 years.
The Digital economics and increasing demand by consumers for more real time information in order to make better decisions on who they want to "hire" to perform services for them or in their behalf will be the driver of this disruption. Analytics, Big Data and Machine Learning will lay the foundation for the next generation of healthcare yet there are still many challenges to truly revolutionize the healthcare system end to end (Providers, Pharma, Payers)
3 Steps To Tackle The Problem Of Bias In Artificial IntelligenceBernard Marr
Artificial intelligence (AI) is facing a problem: Bias. As more and more decisions are being made by AIs, this is an issue that is important to us all. In this article we look at some key steps you can take to ensure AIs of the future are not biased against, e.g., race, gender, sexuality, etc.
The Cloud may invoke images of effervescence that leaves no trace,
but in reality the Cloud means just another data center, along with the
accompanying Carbon Footprint. The issue of being Green has never
been higher on the agenda, but how do professionals feel about Green IT,
and how does this vary either side of the Atlantic? This paper compares
the enthusiasm for Green IT between the US and Europe.
The article illustrates the key vital elements of artificial Intelligence impacts and effects on the corporate domain in perspective. It contemplates the issues and problems and also suggestive solutions in brief..
It serves as a guideline to the corporate mangers to get the insights into the latest research findings
Artificial Intelligence For Good - Also Makes Business SenseBernard Marr
Artificial Intelligence (AI) has the potential to do a lot of good in the world. In this post we look at how AI has been used to tackle some of the world’s biggest challenges and why doing so is also good for business.
Reinventing Healthcare to Serve People, Not InstitutionsTim O'Reilly
My talk at South by Southwest on March 16, 2015. I use examples from consumer technology (the Apple Store, Uber/Lyft, and Google Now) to show where "the bar" is now for user experience, and what that should teach us about how to redesign healthcare. I also talk about the work of Code for America to debug the UX for CalFresh and MediCal.
Presented at the Healthcare CEO50 Certificate Program, School of Hospital Management, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on October 4, 2021
Frankie Rybicki slide set for Deep Learning in Radiology / MedicineFrank Rybicki
These are my #AI slides for medical deep learning using #radiology and medical imaging examples. Please use them & modify to teach your own group about medical AI.
An Introduction to Bioinformatics
Drexel University INFO648-900-200915
A Presentation of Health Informatics Group 5
Cecilia Vernes
Joel Abueg
Kadodjomon Yeo
Sharon McDowell Hall
Terrence Hughes
Big data in the real world opportunities and challenges facing healthcare -...Leo Barella
The Healthcare system will be target of major disruption more than any other industry in the next 10 years.
The Digital economics and increasing demand by consumers for more real time information in order to make better decisions on who they want to "hire" to perform services for them or in their behalf will be the driver of this disruption. Analytics, Big Data and Machine Learning will lay the foundation for the next generation of healthcare yet there are still many challenges to truly revolutionize the healthcare system end to end (Providers, Pharma, Payers)
An Opportunity for delegates to know how much they really know / need to know . The first person who answers a question correctly will get a prize. 30 Minutes of action
packed intellectual treat to find out the smartest !
Welcome to the age of cognitive computing: where intelligent machines have
moved from the realms of science fiction to the present day. This groundbreaking
technology is driving advanced discoveries and allowing improved decision-making –
resulting in better patient care
HumanTechBiota is acting as the human microbiota
(the collective microorganisms that resides symbiotically in our bodies) having an increasing role for our overall well being
A slide deck that supported my recent university lectures during this autumn in Italy (Polytechnic of Bari), Switzerland (EPFL Lausanne) and Poland (SWPS University Warsaw).
It introduces Artificial Intelligence from a business perspective, talks about the need to have a more robust AI tools with AI Ethics and Trust and eventually presents future trajectories such as the Active Intelligence frontier.
A number of Artificial Intelligence and Aanalytics tools already support our decisions but ACTIVE INTELLIGENCE SYSTEMS, that blend AI, Big Data , Analutics and IotT and much more, will take care of us
The future of AI & ML in Cognitive DiscoveryPietro Leo
My keynote slide deck for the ENEL Innovation Community MeetUp. Recorded session here: in Italian, English and Spanish https://echannel.enel.com/livePages/innovation-communities-meetup-with from minute 2h-38'
BM Research continues this work through the pursuit of new scientific instruments – whether physical devices or advanced software tools – designed to make what’s invisible in our world visible, from the macroscopic level down to the nanoscale.
This is a summary 5-in5-5 deck
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
1. Artificial Intelligence
to make precise decisions
June 28, 2017
Pietro Leo
Executive Architect & CTO
Chief scientist, and research strategist IBM Italy
IBM Academy of Technology Leadership Team
pieroleo.com
6. 6
You shared
your position
with me and
can guess
your mobility
need.
I can take you
where you
need to be
Just enjoy
your new
experience.
Stay safe as
in your
friend’s
home
I know
what is
needed for
you, even
before you
order it
Please, come
with me and
stay by me.
I know your
content I can
take care of all
your digital life
14. 14
Image source: http://personalexcellence.co/blog/i deal-beauty/
City
Lifestyle
ZIPcode
Costal vs Inland Marital status
Generation
Location
Family Size
Gender
Income Level
Competitors
Age
Loyalty & Card
Activity
Revenue Size
Life Stages
Eductation
Legal status
Sector
Industry
Subscriptions
Date on Site
Wish List
Size of
Network
Check-ins
App usage duration
Number of Apps on Device
Deposits/Withdrawals
Device Usage
Purchase History
Following
Followers
Likes
Number of Hashtags used
History of Hashtags
Search Strings entered
Sequence of visits
Time/Day log in
Time spent on site
Time spent on page
Frequency of Search
Videos Viewed
Photos liked
15. 15
Image source: http://personalexcellence.co/blog/i deal-beauty/
City
Lifestyle
ZIPcode
Costal vs Inland Marital status
Generation
Location
Family Size
Gender
Income Level
Competitors
Age
Loyalty & Card
Activity
Revenue Size
Life Stages
Eductation
Legal status
Sector
Industry
Subscriptions
Date on Site
Wish List
Size of
Network
Check-ins
App usage duration
Number of Apps on Device
Deposits/Withdrawals
Device Usage
Purchase History
Following
Followers
Likes
Number of Hashtags used
History of Hashtags
Search Strings entered
Sequence of visits
Time/Day log in
Time spent on site
Time spent on page
Frequency of Search
Videos Viewed
Photos liked
Sentiment
Tone
Euphemisms
Hedonism
Extroversion
Face Recognition
Openess
Colloquialism
Reasoning Strategies
Language Modeling
Dialog
Intent
Latent Semantic Analysis
Phonemes
Ontology Analysis
Linguistics
Image Tags
Question Analysis
Self-transcendent
Affective Status
16. 16
Image source: http://personalexcellence.co/blog/i deal-beauty/
City
Lifestyle
ZIPcode
Costal vs Inland Marital status
Generation
Location
Family Size
Gender
Income Level
Competitors
Age
Loyalty & Card
Activity
Revenue Size
Life Stages
Eductation
Legal status
Sector
Industry
Subscriptions
Date on Site
Wish List
Size of
Network
Check-ins
App usage duration
Number of Apps on Device
Deposits/Withdrawals
Device Usage
Purchase History
Following
Followers
Likes
Number of Hashtags used
History of Hashtags
Search Strings entered
Sequence of visits
Time/Day log in
Time spent on site
Time spent on page
Frequency of Search
Videos Viewed
Photos liked
Sentiment
Tone
Euphemisms
Hedonism
Extroversion
Face Recognition
Openess
Colloquialism
Reasoning Strategies
Language Modeling
Dialog
Intent
Latent Semantic Analysis
Phonemes
Ontology Analysis
Linguistics
Image Tags
Question Analysis
Self-transcendent
Affective Status
X-rays (CT scans)
sound (ultrasound),
magnetism (MRI),
Radioactive (SPECT, PET)
light (endoscopy, OCT)
Bio-Images
Clinical/Biochemical
DataMicrobiome
EnvironmentDNA
Proteome
Steps
Nutrition
Genetics
Runs
Food
Source: Bipartisan Policy Center,
“F” as in Fat: HowObesity Threatens America’s Future (TFAH/RWJF, Aug. 2013)
Internet of Body
BMI
19. > 2.5 Trillion PDF Files
in the World
Majority with public and private
enterprises and institutions.
Enterprise HYPERDATA
19
Multi-Modal Rich data: Text, Tables, Images, Audio, Video, Formats,
Hierarchy….
20. A small step with a big result:
Raw Data to Business Artifacts: Understanding PDFs
Document
Structure
Model
Multi-Modal Rich data: Text, Tables, Images, Audio, Video, Formats, Hierarchy….
22. Leveraging the Explosion of Data in Medicine
An Impossible Task Without Analytics and New advanced Artificial Intelligence
Computing Models
1000
FactsperDecision
10
100
1990 2000 2010 2020
Human Cognitive
Capacity
Electronic
Health Records
(Clinical Data)
Internet of
Things
(Exogenous
Data)
The Human
Genome
(Genomic
Data)
Capturing the Value of Data: Big Changes Ahead
Medical error—the third leading cause of
death in the US
Source: BMJ 2016; 353 doi: http://dx.doi.org/10.1136/bmj.i2139
(Published 03 May 2016) Cite this as: BMJ 2016;353:i2139
23. 23
Body Mass Index (BMI)
Mass (weight - Kg) /
height (cm) x height (cm)
You are “Normal” if your BMI is
between 18.5 and 24.99
Adolphe Quetelet, 1832
24. 24
Practice Pearls:
• BMI - Body mass
index is a strong and
independent risk factor
for being diagnosed
with type 2 diabetes
mellitus
• Type 2 diabetes risk
may be incrementally
higher in those with a
higher body mass index
• Understanding the risk
factors helps to shorten
the time to diagnosis
and treatment
How precise could be a “simple” signal
33. 33
Top outcomes from cognitive initiatives vary by industry
Finance
49% Increased market agility
46% Improved customer service
43% Increased customer
engagement
43% Improved productivity &
efficiency
42% Improved security &
compliance, reduced risk
Retail
56% Personalized customer / user
experience
56% Increased customer engagement
56% Improved decision making &
planning
56% Reduced costs
55% Improved customer service
Health
66% Accelerated innovation of
new products / services
66% Improved productivity & efficiency
64% Improved security & compliance,
reduced risk
62% Reduced costs
59% Improved customer service
Manufacturing
64% Improved decision making
& planning
58% Improved productivity &
efficiency
54% Improved security &
compliance, reduced risk
52% Improved customer service
49% Enhanced thelearning
experience
Government/Education
54% Personalized customer / user
experience
50% Improved customer service
37% Improved decision making &
planning
36% Improved productivity & efficiency
33% Increased customer engagement
Professional Services
40% Reduced costs
36% Personalized customer/user
experience
36% Improved customer service
36% Expanded ecosystem
34% Accelerated innovation of new
products / services
% achieving outcome with cognitive
Source: An IBM study of over 600 early cognitive adopters - 2016 Full report: http://www.ibm.com/cognitive/advantage-reports/
34. IBM Watson is the most advanced Artificial Intelligence & Machine Learning platform to
support Decision Making in Business
Toward a Precise Decision Making to reduce the wasteful
spend as well as the risk in every industry
Watson
:
Cognitive System
35. IBM Cognitive Computing
45
Nazioni
100+
Applications
già nel mercato
6.000
Ricercatori e
Specialisti in IBM
8
Lingue
200
Università
organizzano corsi su Watson
500+
Partners
Che integranoWatson
API & Hybrid
Cognitive
Frameworks
20
Industrie
80.000
Sviluppatori
costruiscono applicazioni
con Watson
Watson Health
5.000 Dipendenti,6B$ di
investimento
Watson Internet
Of Things
1000 Dipendenti, 3B$di
investimento
Watson Finantial
Services
3 Unità di Business
Verticali
200M
Cittadini
60M
Pazienti
30B
Immagini
1.2M
Abstract
Medici
60+
Soluzioni
36. Who: Current top players (prevalent) competitive directions and approaches
Personalized Service /
Content Aggregation
Industry-oriented / Professions Specific
Outcomes via cognitive Solutions
Core Business Cognitive /
Enhance Experiences
IBM (Health,
Finance, …)
API SERVICES /
PLATFORM
AWS
Microsoft
Goggle
Amazon (Alexa)
Facebook
IBM BlueMix
42. 42
I am going to
New York
next May
Man
Walking, go
around
vest
Where and When will you be using this jacket?
I'll find a jacket that fits those conditions.Are you
looking for a men's or women'sjacket?
Okay, I got it. What will you use this jacket for?
What styles are you looking for?
Conversation
https://www.thenorthface.com/xps
43. 43
I am going to
New York
next May
Where and
When will
you be using
this jacket?
I'll find a jacket
that fits those
conditions. Are
you looking for a
men's or women's
jacket?
https://www.thenorthface.com/xps
Man
Okay, I got it.
What will you
use this
jacket for?
Walking,
go around
What styles
are you
looking for?
vest
44. 44
It will be more and more a
bots vs bots marketing battle!
Our personal BOTS will buy
for us, #Brands should
convince them NOT us!
47. 47
The Medical Sieve § Build a fast anomaly detection
engine
–Quickly filters irrelevant images
–Highlights disease-depicting regions
–Flags coincidental diagnosis
§ Intended as a radiology assistant
–Clinicians still do the diagnosis
–Machine reduces workload
–Machine performs triage/decision support
Given history of the patient and images of
a study
Is there an anomalous image here?
If so, where is the anomaly ?
Describe the anomaly
The Medical Sieve
49. Weather is
the secret to understanding
how consumers feel… and cook
A brand able to gain a
spot in the daily
routines and rituals of
consumers creates a not
only a relationbut a
deep intimacywith
them
49
57. 57 IBM Cognitive Cloud | Electrolux Digital Summit 2017
Cloud Infrastructure
A highly scalable, security
enabled infrastructure
Data
Tools to prepare data
for cognitive
AI
Cognitive building blocks
for developers
Applications, solutions
and services
Targeted solutions for
enterprise businesses
IBM delivers an architecture
engineered for disruption
Cognitive Systems
leverage machine
learning to predict
meaning in features of
human language (spoken,
written, visual) and
related forms of human
reasoning
58. 58 IBM Cognitive Cloud | Electrolux Digital Summit 2017
Cloud Infrastructure
A highly scalable, security
enabled infrastructure
Data
Tools to prepare data
for cognitive
AI
Cognitive building blocks
for developers
Applications, solutions
and services
Targeted solutions for
enterprise businesses
Ingestion
ConversationAPI
Storage Analytics Deployment Governance
Watson
Health
Solutions
Watson
Cyber
Security
Weather
IBM Services
& Ind.
Solutions
Watson
Virtual
Agent
Watson
Explore
and
Discover
IBM Risk
and
Compliance
Asset
Mgmt.
(Maximo)
Visual
Recognition
API Discovery
API
Speech
API
Compare
and Comply
API
Document
Conversion
API
DLaaS
API
Nat Language
Understanding
API
Nat Language
Classifier
API
Tone
Analyzer
API
Personal
Insight
API
Knowledge
Query
API
IBM delivers an architecture
engineered for disruption
Cloud Integration
Networking Security
Core
Enterprise
Infrastructure
Cognitive
Systems
Virtual
Servers
File StorageObject
Storage
Cognitive Micro-services DevOps Tooling
ISV Solutions Client Solutions
59. 59 IBM Cognitive Cloud | Electrolux Digital Summit 2017
Data analyticsServe modelTrain model
Cognitive technologies transform data into augmented
intelligence that drives differentiated experiences and outcomes
Cognitive micro-services driven tooling
Curate
Training data
Conversation
API
Tone
Analyzer
API
Document
Conversion
API
Discovery
API
Personal
Insight
API
Nat Language
Understanding
API
Compare &
Comply
API
Visual Recognition
API
Nat Language
Classifier
API
DLaaS
API
Speech
API
Knowledge
Query
API
AI
https://developer.ibm.com/academic/ https://www.ibm.com/developerworks/
60. 60 IBM Cognitive Cloud | Electrolux Digital Summit 2017
IBM Academic
Initiative
https://developer.ibm.com/ac
ademic/
References
Bluemix
https://www.ibm.com/cloud-
computing/bluemix/
65. Thank you
for your attention.
Pietro Leo
Executive Architect & CTO
Chief scientist, and research strategist IBM Italy
IBM Academy of Technology Leadership Team pieroleo.com