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Anne Le Grand
Vice President IBM Watson Health
General Manager Watson Health Imaging
Big Data in Health Care Transformation
Tel Aviv
25 March, 2019
Predicting and Inventing a
New Era of Health with AI
A future with AI
Make the
invisible,
visible
Become a
trusted
advisor
Derive
actionable
insights
Industry challenges:
- Explosion of data
- Physician burnout / shortages
- Disease burden
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 2
Annotator for Clinical Data
Natural language processing
Natural language processing is the
ability to read and understand
unstructured data
Watson can “read” = identify,
categorize and code medical
information
of healthcare data is
unstructured!
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 3
Deep learning
Deep learning is a branch of
machine learning that
makes use of multiple
processing layers and
hierarchical representations
to drive the learning
process.
Three factors account for
the increased use of deep
learning:
Traditional AI Deep Learning
Feature engineering
Hierarchical model with
layers of abstraction
Human-annotated data types Unlabeled data types
Sequential computation Multiple decisions simultaneously
The Data
Explosion
The
Algorithms
The
Hardware
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 4
Make the invisible,
visible
–
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 5
Accelerating the pace of drug discovery
• Using Watson for
Drug Discovery to
research immuno-
oncology
• Goal: Identify novel
gene sets not
previously
associated with
immune response
• Study findings
published in Acta
Neuropathologica1
• Watson ranked 1,500
proteins for their
predicted association
with ALS (Amyotrophic
Lateral Sclerosis)
• Eight of the top 10
ranked proteins proved
to be linked to ALS,
five proteins had never
before been linked to
ALS
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 6
1. Bakkar N, Kovalik T, Lorenzini I, Spangler S, Lacoste A, Sponaugle K, et al. Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify
additional RNA-binding proteins altered in amyotrophic lateral sclerosis. Acta Neuropathol 2017;124:339. doi:10.1007/s00401-017-1785-8
Become a trusted
advisor
–
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 7
88%
Concordance between
WfO/Cota and breast cancer
experts (N = 223)
“…nearly a fifth of patients with
similar disease (CNA)
characteristics received non-
recommended options in a real
world database highlights a need.
WfO/Cota is an innovative
decision support tool that derives
new insights based on existing real
world evidence to reduce
variations in practice.”
Are treatment recommendations provided by
cognitive computing supported by real world
data (Watson for Oncology with Cota RWE)
concordant with expert opinions?
*excerpt from abstractWatson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 8
Derive actionable
insights
–
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 9
Managing care and improving lives
High-cost, high-need populations typically make
up 20% of the population, yet consume 80% of
costs.
Uses in behavioral health/social care:
• Opioid addiction
• Aging populations
• Child welfare services
• Food assistance
• Specialty courts
Watson Care Manager
147,000 lives managed
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 10
Identifying outcomes of
precision cohorts
Development project underway with Atrius Health.
Creating “precision cohorts” to provide additional
information to physicians about what has worked in
the past for patients similar to this patient, matching
up to 10,000 co-variates.
The application would determine how well different
treatments work for them and present outcomes for
people like this patient, as additional information to
the clinician.
What medication
should we add next?
ARB
132/7
ARB +
CCB
121/78
ARB +
BB
152/96
CCB
164/93
ARB
140/89
ARB +
CCB
167/88
ARB +
Diuretic
142/82
ARB +
CCB
136/82
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 11
Empowering people living with diabetes
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 12
AI in medical
imaging
–
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 13
AI in healthcare – market size by 2021
The AI health
market is seeing
explosive growth
Acquisitions of AI startups
are rapidly increasing while
the health AI market is set
to register an explosive
CAGR of 40% through
2021
20212014
Health AI Market Size 2014-2021
Source: Accenture
11x
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0
14
AI value by 2026
Source: Accenture
Imaging touches both
image diagnosis +
preliminary diagnosis
$2B $3B $5B $13B $14B $16B $17B $18B $20B $40B
Cyber-
security
Automated
Image
Diagnosis
Preliminary
Diagnosis
Clinical
Trial
Participants
Identifier
Connected
Machines
Dosage
Error
Reduction
Fraud
Detection
Administrati
ve
Workflow
Assistance
Virtual
Nursing
Assistants
Robot-
Assisted
Surgery
Total = -$150BTop 10 AI Applications
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0
15
Imaging AI market – analyst
view of maturity
Source: Signify Research
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0
16
Four critical tests – how to set priorities
Can AI contribute
to the solution?
And integrate into
imaging workflow
Is there a
problem to solve?
That people can
agree upon
What will
doctors use?
Without being
nickeled and dimed
What will
organizations
pay for?
Because problems
cost money
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 17
Gorilla?
What gorilla?
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 18
Safety net
for clinicians
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 19
A global
issue
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 20
Help clinicians
focus on sick patients
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 21
How AI fits
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 22
Design for
the wild
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 23
Watson Health Imaging strategy: AI marketplace
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 24
AI imaging analytics maturity curve
Workflow Detection
Diagnosis
Suggestion
Second Read
Primary Read
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 25
How AI in imaging will evolve
V2: Specific Organs &
Disease Recognition
• Clinical Review v3
• Care Advisor v1
• iConnect Access
• VNA
V3: Entire Body Systems
(Head, Chest, Abdomen, Pelvis)
• Clinical Review v3
• Care Advisor v2
• iConnect Access
• VNA
V4: Imaging Biomarkers &
Virtual Biopsy via
Radiomics
• Care Advisors
• Combined with WH Data Platform
& genomics
V5: Cohorts enable
precision medicine &
Decision support
2026
Imaging is a key
biomarker that
unlocks precision
medicine
$134B
Source: Frost & Sullivan, Signify, Team Analysis
V1: NLP Driven
Workflow
• Patient Synopsis
• Clinical Review v1
IBM is uniquely positioned to
deliver multi-modal analytics
$2.1B by
2023
$8B by
2026
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0
26
Precision medicine
In the future,
precision medicine
will be enabled by
data both from
direct (quantifiable)
and indirect
(quantifiable)
sources affecting
individual health
and well-being.
Note: Each data sources are not mutually exclusive to individual factors and are not exhaustive in nature. Source: Frost & SullivanWatson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0
27
Picking priorities
Breast
Structural
Heart
Stroke
Lung CT/
X-Ray
Diabetic
Retinopathy
Alzheimer’s /
Dementia
Liver
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 28
Our AI Journey
IBM Watson
Imaging Care
Advisor*
Intends to share insights
derived from Watson
image analytics to help
inform decisions
IBM Watson
Imaging
Clinical Review
Highlights potential
discrepancies in
documentation via
retrospective review of
structured and
unstructured data
1.0 launched in Q1 2017
2.0 launched Q3 2018
IBM Watson
Imaging
Patient Synopsis
Intends to provide
clinicians with clinical
context during image
interpretation by surfacing
relevant patient data
1.0 launched Q3 2018
*This technology is in the research and development phase and has not been evaluated by any regulatory agencies (such as USFDA) for safety or efficacy. It is not available for any commercial
or non-commercial use. Information about R&D stage technology is shared only for purposes of feedback.
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 29
Watson Imaging Clinical Review:
Retrospective then prospective
Clinical Review 3.0* aims to analyze for the supported pathologies in CT Chest/Abdomen and X-Ray Chest
imaging studies and compare them with the findings mentioned in the final imaging report for quality assurance,
education, and training processes**
Emphysema/COPD
High prevalence worldwide
Aneurysm
Frequently missed incidental
finding
Pulmonary Embolism
1/3 die
undiagnosed and untreated
Emphysema/COPD
High prevalence worldwide
Pneumonia
High economic burden
Fracture
Most common diagnostic error
Pulmonary Edema
Most commonly missed
finding in X-ray
CT Chest Abd
X-Ray Chest
* *Targeted findings still being finalized
Patient Care, Peer Review, Billing
*Product is under development and not yet evaluated by the FDA
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0
30
31
PURPOSE = PEOPLE
“AI” = “Augmented Intelligence” and
“Actionable Insights” to support what humans
do, not replace them.
TRANSPARENCY = TRUST
Full transparency (aka, “glass box”) about how
our systems are trained and the data &
knowledge used to train them.
SKILLS = SYMBIOTIC with AI
AI systems are trained by and supporting
human professionals and this will change the
workforce and lead to “new skills” and “new
collar” jobs.
3 Key Principles for the AI Era
Watson Health © IBM Corporation 2018
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 32
Legal Disclaimer
© IBM Corporation 2018. All Rights Reserved.
The information contained in this publication is provided for informational purposes only. While efforts were made to verify the completeness and
accuracy of the information contained in this publication, it is provided AS IS without warranty of any kind, express or implied. In addition, this
information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible
for any damages arising out of the use of, or otherwise related to, this publication or any other materials. Nothing contained in this publication is
intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and
conditions of the applicable license agreement governing the use of IBM software.
References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM
operates. Product release dates and/or capabilities referenced in this presentation may change at any time at IBM’s sole discretion based on
market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. Nothing
contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any
specific sales, revenue growth or other results.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or
performance that any user will experience will vary depending upon many factors, including considerations such as the amount of
multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance
can be given that an individual user will achieve results similar to those stated here.
All customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have
achieved. Actual environmental costs and performance characteristics may vary by customer.
IBM, the IBM logo, ibm.com, and Watson Health are trademarks of International Business Machines Corp., registered in many jurisdictions
worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the
Web at “Copyright and trademark information” at ibm.com/legal/copy trade.
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 33
Forward Looking Statements
Certain statements contained in this presentation may constitute forward-looking statements within the meaning of the Private Securities Litigation
Reform Act of 1995. Forward-looking statements are based on the company’s current assumptions regarding future business and financial
performance. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially,
including the following: a downturn in the economic environment and client spending budgets; the company’s failure to meet growth and
productivity objectives; a failure of the company’s innovation initiatives; risks from investing in growth opportunities; failure of the company’s
intellectual property portfolio to prevent competitive offerings and the failure of the company to obtain necessary licenses; cybersecurity and data
privacy considerations; fluctuations in financial results; impact of local legal, economic, political and health conditions; adverse effects from
environmental matters, tax matters and the company’s pension plans; ineffective internal controls; the company’s use of accounting estimates; the
company’s ability to attract and retain key personnel and its reliance on critical skills; impacts of relationships with critical suppliers; product quality
issues; impacts of business with government clients; currency fluctuations and customer financing risks; impact of changes in market liquidity
conditions and customer credit risk on receivables; reliance on third party distribution channels and ecosystems; the company’s ability to
successfully manage acquisitions, alliances and dispositions; risks from legal proceedings; risk factors related to IBM securities; and other risks,
uncertainties and factors discussed in the company’s Form 10-Qs, Form 10-K and in the company’s other filings with the U.S. Securities and
Exchange Commission (SEC) or in materials incorporated therein by reference. The company assumes no obligation to update or revise any
forward-looking statements. These charts and the associated remarks and comments are integrally related, and are intended to be presented
and understood together.
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 34
IBM's statements regarding its
plans, directions and intent
are subject to change or
withdrawal without notice at
IBM's sole discretion.
Information regarding potential future products is intended to
outline our general product direction and it should not be
relied on in making a purchasing decision.
The information mentioned regarding potential future
products is not a commitment, promise, or legal obligation to
deliver any material, code or functionality. Information about
potential future products may not be incorporated into any
contract. The development, release, and timing of any future
features or functionality described for our products remains
at our sole discretion.
Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 35

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mHealth Israel_Anne LeGrand_IBM Watson_Big Data in Healthcare

  • 1. Anne Le Grand Vice President IBM Watson Health General Manager Watson Health Imaging Big Data in Health Care Transformation Tel Aviv 25 March, 2019 Predicting and Inventing a New Era of Health with AI
  • 2. A future with AI Make the invisible, visible Become a trusted advisor Derive actionable insights Industry challenges: - Explosion of data - Physician burnout / shortages - Disease burden Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 2
  • 3. Annotator for Clinical Data Natural language processing Natural language processing is the ability to read and understand unstructured data Watson can “read” = identify, categorize and code medical information of healthcare data is unstructured! Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 3
  • 4. Deep learning Deep learning is a branch of machine learning that makes use of multiple processing layers and hierarchical representations to drive the learning process. Three factors account for the increased use of deep learning: Traditional AI Deep Learning Feature engineering Hierarchical model with layers of abstraction Human-annotated data types Unlabeled data types Sequential computation Multiple decisions simultaneously The Data Explosion The Algorithms The Hardware Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 4
  • 5. Make the invisible, visible – Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 5
  • 6. Accelerating the pace of drug discovery • Using Watson for Drug Discovery to research immuno- oncology • Goal: Identify novel gene sets not previously associated with immune response • Study findings published in Acta Neuropathologica1 • Watson ranked 1,500 proteins for their predicted association with ALS (Amyotrophic Lateral Sclerosis) • Eight of the top 10 ranked proteins proved to be linked to ALS, five proteins had never before been linked to ALS Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 6 1. Bakkar N, Kovalik T, Lorenzini I, Spangler S, Lacoste A, Sponaugle K, et al. Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify additional RNA-binding proteins altered in amyotrophic lateral sclerosis. Acta Neuropathol 2017;124:339. doi:10.1007/s00401-017-1785-8
  • 7. Become a trusted advisor – Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 7
  • 8. 88% Concordance between WfO/Cota and breast cancer experts (N = 223) “…nearly a fifth of patients with similar disease (CNA) characteristics received non- recommended options in a real world database highlights a need. WfO/Cota is an innovative decision support tool that derives new insights based on existing real world evidence to reduce variations in practice.” Are treatment recommendations provided by cognitive computing supported by real world data (Watson for Oncology with Cota RWE) concordant with expert opinions? *excerpt from abstractWatson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 8
  • 9. Derive actionable insights – Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 9
  • 10. Managing care and improving lives High-cost, high-need populations typically make up 20% of the population, yet consume 80% of costs. Uses in behavioral health/social care: • Opioid addiction • Aging populations • Child welfare services • Food assistance • Specialty courts Watson Care Manager 147,000 lives managed Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 10
  • 11. Identifying outcomes of precision cohorts Development project underway with Atrius Health. Creating “precision cohorts” to provide additional information to physicians about what has worked in the past for patients similar to this patient, matching up to 10,000 co-variates. The application would determine how well different treatments work for them and present outcomes for people like this patient, as additional information to the clinician. What medication should we add next? ARB 132/7 ARB + CCB 121/78 ARB + BB 152/96 CCB 164/93 ARB 140/89 ARB + CCB 167/88 ARB + Diuretic 142/82 ARB + CCB 136/82 Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 11
  • 12. Empowering people living with diabetes Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 12
  • 13. AI in medical imaging – Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 13
  • 14. AI in healthcare – market size by 2021 The AI health market is seeing explosive growth Acquisitions of AI startups are rapidly increasing while the health AI market is set to register an explosive CAGR of 40% through 2021 20212014 Health AI Market Size 2014-2021 Source: Accenture 11x Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 14
  • 15. AI value by 2026 Source: Accenture Imaging touches both image diagnosis + preliminary diagnosis $2B $3B $5B $13B $14B $16B $17B $18B $20B $40B Cyber- security Automated Image Diagnosis Preliminary Diagnosis Clinical Trial Participants Identifier Connected Machines Dosage Error Reduction Fraud Detection Administrati ve Workflow Assistance Virtual Nursing Assistants Robot- Assisted Surgery Total = -$150BTop 10 AI Applications Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 15
  • 16. Imaging AI market – analyst view of maturity Source: Signify Research Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 16
  • 17. Four critical tests – how to set priorities Can AI contribute to the solution? And integrate into imaging workflow Is there a problem to solve? That people can agree upon What will doctors use? Without being nickeled and dimed What will organizations pay for? Because problems cost money Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 17
  • 18. Gorilla? What gorilla? Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 18
  • 19. Safety net for clinicians Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 19
  • 20. A global issue Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 20
  • 21. Help clinicians focus on sick patients Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 21
  • 22. How AI fits Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 22
  • 23. Design for the wild Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 23
  • 24. Watson Health Imaging strategy: AI marketplace Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 24
  • 25. AI imaging analytics maturity curve Workflow Detection Diagnosis Suggestion Second Read Primary Read Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 25
  • 26. How AI in imaging will evolve V2: Specific Organs & Disease Recognition • Clinical Review v3 • Care Advisor v1 • iConnect Access • VNA V3: Entire Body Systems (Head, Chest, Abdomen, Pelvis) • Clinical Review v3 • Care Advisor v2 • iConnect Access • VNA V4: Imaging Biomarkers & Virtual Biopsy via Radiomics • Care Advisors • Combined with WH Data Platform & genomics V5: Cohorts enable precision medicine & Decision support 2026 Imaging is a key biomarker that unlocks precision medicine $134B Source: Frost & Sullivan, Signify, Team Analysis V1: NLP Driven Workflow • Patient Synopsis • Clinical Review v1 IBM is uniquely positioned to deliver multi-modal analytics $2.1B by 2023 $8B by 2026 Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 26
  • 27. Precision medicine In the future, precision medicine will be enabled by data both from direct (quantifiable) and indirect (quantifiable) sources affecting individual health and well-being. Note: Each data sources are not mutually exclusive to individual factors and are not exhaustive in nature. Source: Frost & SullivanWatson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 27
  • 28. Picking priorities Breast Structural Heart Stroke Lung CT/ X-Ray Diabetic Retinopathy Alzheimer’s / Dementia Liver Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 28
  • 29. Our AI Journey IBM Watson Imaging Care Advisor* Intends to share insights derived from Watson image analytics to help inform decisions IBM Watson Imaging Clinical Review Highlights potential discrepancies in documentation via retrospective review of structured and unstructured data 1.0 launched in Q1 2017 2.0 launched Q3 2018 IBM Watson Imaging Patient Synopsis Intends to provide clinicians with clinical context during image interpretation by surfacing relevant patient data 1.0 launched Q3 2018 *This technology is in the research and development phase and has not been evaluated by any regulatory agencies (such as USFDA) for safety or efficacy. It is not available for any commercial or non-commercial use. Information about R&D stage technology is shared only for purposes of feedback. Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 29
  • 30. Watson Imaging Clinical Review: Retrospective then prospective Clinical Review 3.0* aims to analyze for the supported pathologies in CT Chest/Abdomen and X-Ray Chest imaging studies and compare them with the findings mentioned in the final imaging report for quality assurance, education, and training processes** Emphysema/COPD High prevalence worldwide Aneurysm Frequently missed incidental finding Pulmonary Embolism 1/3 die undiagnosed and untreated Emphysema/COPD High prevalence worldwide Pneumonia High economic burden Fracture Most common diagnostic error Pulmonary Edema Most commonly missed finding in X-ray CT Chest Abd X-Ray Chest * *Targeted findings still being finalized Patient Care, Peer Review, Billing *Product is under development and not yet evaluated by the FDA Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 30
  • 31. 31 PURPOSE = PEOPLE “AI” = “Augmented Intelligence” and “Actionable Insights” to support what humans do, not replace them. TRANSPARENCY = TRUST Full transparency (aka, “glass box”) about how our systems are trained and the data & knowledge used to train them. SKILLS = SYMBIOTIC with AI AI systems are trained by and supporting human professionals and this will change the workforce and lead to “new skills” and “new collar” jobs. 3 Key Principles for the AI Era Watson Health © IBM Corporation 2018
  • 32. Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 32
  • 33. Legal Disclaimer © IBM Corporation 2018. All Rights Reserved. The information contained in this publication is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this publication, it is provided AS IS without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this publication or any other materials. Nothing contained in this publication is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in this presentation may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results. Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here. All customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. IBM, the IBM logo, ibm.com, and Watson Health are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at ibm.com/legal/copy trade. Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 33
  • 34. Forward Looking Statements Certain statements contained in this presentation may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company’s current assumptions regarding future business and financial performance. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially, including the following: a downturn in the economic environment and client spending budgets; the company’s failure to meet growth and productivity objectives; a failure of the company’s innovation initiatives; risks from investing in growth opportunities; failure of the company’s intellectual property portfolio to prevent competitive offerings and the failure of the company to obtain necessary licenses; cybersecurity and data privacy considerations; fluctuations in financial results; impact of local legal, economic, political and health conditions; adverse effects from environmental matters, tax matters and the company’s pension plans; ineffective internal controls; the company’s use of accounting estimates; the company’s ability to attract and retain key personnel and its reliance on critical skills; impacts of relationships with critical suppliers; product quality issues; impacts of business with government clients; currency fluctuations and customer financing risks; impact of changes in market liquidity conditions and customer credit risk on receivables; reliance on third party distribution channels and ecosystems; the company’s ability to successfully manage acquisitions, alliances and dispositions; risks from legal proceedings; risk factors related to IBM securities; and other risks, uncertainties and factors discussed in the company’s Form 10-Qs, Form 10-K and in the company’s other filings with the U.S. Securities and Exchange Commission (SEC) or in materials incorporated therein by reference. The company assumes no obligation to update or revise any forward-looking statements. These charts and the associated remarks and comments are integrally related, and are intended to be presented and understood together. Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 34
  • 35. IBM's statements regarding its plans, directions and intent are subject to change or withdrawal without notice at IBM's sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. Watson Health / © 2018 IBM Corporation / ECM-19578 Rev. 1.0 35

Notes de l'éditeur

  1. 10
  2. 11
  3. 12
  4. 18
  5. 19
  6. 20
  7. 22
  8. 23
  9. 28
  10. Peer review
  11. 30