The Transformative Potential of Artificial Intelligence in Life Sciences
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Discover the transformative potential Artificial Intelligence has for impacting human life and the world around us. Visit https://accntu.re/2r6T2g2 to learn more.
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The Transformative Potential of Artificial Intelligence in Life Sciences
- 1. ARTIFICIAL INTELLIGENCE The transformative potential for impacting human life and the world around us LOIC GIRAUD NOVARTIS ARNAB CHAKRABORTY ACCENTURE DIGITAL
- 2. ARTIFICIAL INTELLIGENCE IS MOVING FROM EXPERIMENTAL TO EXPONENTIAL Funding for AI startups. Annual compound growth in G20 since 2010 60% Number of AI patents. Annual compound growth in G20 since 2010 26% Source: Accenture Research, Accenture TechVision 2017 Survey, subscribed databases BIG DATA Proportion of 5400 IT and business execs investing in AI in next 3 years. 85% COMPUTING POWER AI TECHNOLOGIES
- 3. AI TECHNOLOGIES & APPLICATIONS HOW DOES IT ALL FIT TOGETHER? Knowledge Representation Search and Optimization Predictive Systems Biometrics, Facial & Gesture Recognition Genomic and *iomic Analysis Virtual Agent Personality Insight Expert Systems (Inference) Intelligent Automation Recommendation Systems Text, speech image & video analytics Augmented Reality Deep Learning Shallow Learning Deep Neural Networks Intelligent Products NaturalLanguage Understanding Computer Vision Speech to Text Regression SVM Audio & Signal Processing APPLICATIONS Enable intelligent Enterprise using Machine Learning & Supporting Technologies AI CAPABILITIES Complement Machine Learning to Comprehend, Reason, Predict & Optimize Constraints MACHINE LEARNING Algorithms & Architectures that allow ‘learning’ DEEP & SHALLOW LEARNING Supervised, Semi Supervised, Unsupervised, Reinforcement
- 4. EMPOWERING HEALTHCARE WITH ARTIFICIAL INTELLIGENCEDATACOMPLEXITY Structured, Stable, Low-Volume Unstructured, Volatile, High-Volume WORK COMPLEXITYRoutine, Predictable, Rules- based Ad-Hoc, Unpredictable, Judgment-based EFFECTIVENESS • Patient Flow Management • Clinical Workflow Management • Nursing Handoffs • Operating Room Scheduling INNOVATION • Biomedical Research • Medical Ethics Rulings • e-Consulting EFFICIENCY • Physician authorization requests • Ordering Labs • e-Prescribing • Appointment Scheduling EXPERT • Robotics-aided surgery • Medical specialist diagnosis • Prescription advising • Simple medical diagnosis AUGMENT AUTOMATE
- 5. IN THE PRESS QUANTUM COMPUTING Quantum computing to help speed up drug discovery VISUAL ASSISTANT AI-powered solution, to assist visually impaired people in gaining more insight INTELLIGENT PATIENT CARE ADVANTICS™ platform to improve patient outcomes and reduce cost of treating cardiovascular conditions TUMOR BOARD Digital Healthcare for cancer patients based on Roche’s NAVIFY Tumor Board solution.
- 6. AI-EMPOWERED BUSINESSES KNOW THE POWER OF • DATA • AUTOMATION & AUGMENTATION • FOCUS & EXPERIMENTATION • THE NETWORK EFFECT • RESPONSIBLE AI COMPREHEND LEARN SENSE ACT DECIDE
- 7. DRUG DISCOVERY Apply ML to scientific data to predict activity and toxicity with much higher precision PRECISION MEDICINE Identify patterns for multifactorial diseases and target those with high specificity CLINICALTRIALS Predict drug interaction with targets, allowing clinical trial experimentation to be reduced PHARMACOVIGILANCE Learn from safety pattern to predict risks of adverse effects DISEASE MANAGEMENT AI enhances patient monitoring to better manage diseases THE NEW POSSIBLE IN LIFE SCIENCES
- 8. EMPOWERING NEW BUSINESS OUTCOMES AT SPEED AND SCALE NEW SPEED TO MARKET REDEFINE WORKFORCE CREATE NEW REVENUE STREAM OPEN NEW MARKETS REIMAGINE PRODUCTS & SERVICES
- 9. HOW NOVARTIS USES AI AS COMPETITIVE ADVANTAGE
- 10. NOVARTIS LEADERS BELIEVE DIGITAL WILL TRANSFORM HEALTHCARE Le Temps, Oct 2017 J. Reinhart, Novartis chairmanFinancial Times, Sep 2017, Vas Narasimhan, Novartis CEO World Economic Forum Davos, Jan 2018 AI WILL HELP NOVARTIS SAVING BILLIONS IN NEW DRUG DEVELOPMENT
- 11. NOVARTIS 5 YEARS DIGITAL AMBITION ADVANCED ANALYTICS COGNITIVE & RPA ENTERPRISE DATA REPOSITORY IOT API CLOUD BUSINESS STRATEGY INNOVATE SELL OPERATE ENTERPRISE-WIDE ENABLERS TECHNOLOGY CAPABILITIES INDUSTRY LEADER IN ADVANCED ANALYTICS 1. Data as a strategic asset 2. World-class advanced analytics capabilities NEW NOVARTIS DIGITAL OPERATING MODEL 3. Empowered leader and business ownership 4. Expert support and supporting governance and incentives DIGITAL TALENT AND CAPABILITY PROGRAM 5. Leadership capabilities, new way of working and attractive careers for digital talent
- 12. AROUND THE PATIENT INNOVATOR DIGITAL MEDICINES COMPANIES FOCUSED ONTHE PATIENT JOURNEY • Drive HCP engagement through improved multichannel targeting • Patient journey analysis using RWE to improve drug adherence CREATE DIFFERENTIATED SERVICES AND RUN EFFICIENT OPERATIONS LEAN INNOVATORS FINANCIALLY-DRIVEN, EFFICIENT OPERATORS • Improve clinical trial selection by differentiating responders to non- responders • Ensure 100% up-time of manufacturing machines to ensure drug fulfillment • Automated financial forecasting NEW HEALTH DIGITALS DIGITAL-TO-HEALTH OR HEALTH-TO-DIGITAL COMPANIES • Remote clinical trial monitoring • Illness detection through image recognition
- 13. It takes years and billions to discover and commercialize new drugs – though application of AI, Novartis aims to reduce costs of drug development by 25% AI FOR DRUG DEVELOPMENT AI OPTIMIZES CLINICAL TRIALS 1. Improve global trial cost- efficiency 2. Optimized site allocation 3. Give earlier notification of trials falling behind schedule 4. Identify non-enrolling sites 5. Provide an evidence- based and forward- looking quality risk assessment
- 14. Novartis visits 100000 Health Care Professionals every day – But do we address the right HCPs and do we address them in the right way? AI FOR INCREASING TOP LINE SALES AI OPTIMIZES HCP ENGAGEMENTS 1. Increase Drug prescriptions 2. Timely and targeted actions with HCP 3. Optimize resource allocation 4. Better ROI on marketing spend
- 15. AI REQUIRES NEW SKILLS Novartis hires new talent, trains existing workforce and leverages its partner ecosystem – deploying a federated hub and spoke model HIRING Selective recruitments for data scientists and data engineers DIGITAL ACADEMY Train executives and analytics workforce to understand the art of possible PARTNER ECOSYSTEM Complement workforce and infuse innovation using differentiated sourcing and engagement models ROLES DATA SCIENTIST SOLUTION ARCHITECT BUSINESS ANALYST BIG DATA ENGINEER DATA ANALYST VISUALIZATION EXPERT PROJECT MANAGER PRIVACY EXPERT BUSINESS DOMAIN EXPERT(S)
- 16. THE NEW IMPERATIVES GETTING YOUR AI TRANSFORMATION RIGHT NEW COLLABORATION MODELS GOVERNANCE ECOSYSTEM OF INNOVATION E2E CAPABILITIES THAT SCALE OPERATING MODEL CHANGE MANAGEMENT
- 17. UNTRAP NEW DATA & INTELLIGENCE New data sources and new data science for speed to insight DISCOVER NEW BUSINESS OPPORTUNITIES New business models and revenue streams for speed to confidence DEFINE NEW WAYS OF WORKING Responsible AI implementation for speed to adoption SCALE WITH NEW AGILITY Automation and augmentation via Platforms, Ecosystems & Solutions for speed to efficiency DO THINGS DIFFERENTLY DO DIFFERENT THINGS CREATE NEW PRODUCTS & SERVICES New ways to engage customers for speed to value HOW WE DO IT HUMAN + MACHINE = SUPERPOWERS
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- Effectiveness
- AI technologies and applications are powering analytics and businesses in new ways - to sense, comprehend, decide, act and learn in order to unlock an abundance of new economic possibilities that were previously hidden or unreachable. The new imperative is to transform every facet of your business through intelligent technology and human ingenuity to become an intelligent enterprise. This isn’t a world of old rules-based processes, but more of what we call a living process full of constant learning loops and adaptation - finding the right balance between automation and augmentation. What does an AI-powered business look like? DATA - They understand the power of data as the fuel that feeds the AI engine to drive better decisions and outcomes AUTOMATION & AUGMENTATION – understanding which processes machines make better decisions, and when humans do and when one should augment the other FOCUS & EXPERIMENTATION – constant learning loops THE NETWORK EFFECT – RESPONSIBLE AI – harnessing the power of AI to drive the right business outcomes that are consistent with corporate and societal values
- Industrialized Solutions unlocking new outcomes across the value chain
- Companies that have embraced the AI agenda are driving new outcomes across their business. Businesses are able to find new efficiencies in their core business that unlocks capital that they can use to invest in the new and reimagine new products, services and revenue streams. Those who get it right start from the top down and focus on the right areas of their business to reimagine every process, every function --- How can person be more effective doing job they do today – e.g. banking AML/KYC – humans doing investigations – 80% false positive – ML is flipping ratio – so work is more effective and productive Find area of business that it will impact – e.g. wireless it’s front office – cross-sell effectiveness/ FS it’s back office and regulation/ Pharma starting in R&D – using deep learning to accelerate time to market Lots of experimentation needed – find right problem, human + machine = superpowers for people. Human empowerment – we haven’t invented industries yet.
- How do we do it? It’s the ultimate combination of human and machine to optimize people, processes and technology Un-trap New Intelligence: Finding answers to the biggest questions starts with data, and ensuring you are capitalizing on vast data sources available within your own business – dark data, unstructured, and third party sources. Thanks to the power of AI/Machine Learning and advanced algorithms, we have moved from the era of big data, to the era of ALL data and that is helping clients create a more holistic view of their customer and creating more operational efficiencies. Metadata management and talent are important factors and doing this responsibly ensures that you’ve accounted for fairness and transparency in your algorithms and aren’t scaling bias. Scale with New Agility: Add experimentation and OODA content here (fast iterations, highly distributed across its various functions, rapid learning and inflight adjustment, and a high degree of autonomy), People/Process – where do you automate vs where do you augment Tech - There’s been a chronic underinvestment in IT over the last twenty years so the ability to innovate and to do it a scale is hampered by the need to keep the legacy or core business running. Digital decoupling techniques and a new set of technologies like real-time data lakes, artificial intelligence, APIs and microservices allow us to build powerful digital solutions on top of legacy systems and paper back offices. Cloud-based, as-a-service models and open-source tools are making it easier for enterprises to scale this new intelligence across their enterprise. Discover New Opportunities: New intelligence is powering predictions thanks to robust data and industrialized + bespoke models – illuminating new opportunities and probable business outcomes that is helping shape overall business/investment strategy. With a more holistic customer view, it’s easier to spot new revenue potential and reimagine your business model. Create New Products and Services: Intelligent Technologies and Applications can be used to power new products and services that elevate and extend core business models. New partner ecosystems can create seamless customer experiences with new revenue streams. Network Effect – every customer transaction enriches All of this is underpinned by Defining New Ways of Working: Putting people at the center. AI and Intelligent Technologies and applications can change the way people work. Machines can augment humans with tools like AR/VR, bots, and design-led dashboards that empower employees to make more intelligent decisions, faster, and to offload more rote tasks so they can focus energy on strategy. Humans, too, can augment machine, by refining algorithms and ensuring certain automated tasks and applications, like customer care, respond in a way that reflects corporate values. Training and reskilling is a key corporate responsibility when applying AI technology across your organization. Management – move from all knowing manager who issues commands to a manager driven by the data. How do you manage your operations in this new world? What kind of dashboard and business reporting is needed? Financial management and governance – How does your financial reporting process need to accommodate the dynamism of a business which may make intraday changes to parts of its operation entirely autonomously? Operations: how do you manage your AI operations? E.g. Model drift, kaizen / continuous performance improvement, reliability engineering (bias, prejudice, false positives/negatives, legal risk)
- It’s no secret that artificial intelligence is powering our new ambitions. It’s rewriting the rules of human experience and redefining what’s possible across every industry in the world today. So what do you next? The critical first step is to look for and unlock hidden value within your own business. Using artificial intelligence, we help collect, interpret, and enhance data to generate actionable insights and find new opportunities for business growth. And we help you empower your employees with AI-enabled tools so they can operate more intelligently and efficiently, freeing up time to focus on new strategic opportunities. With our industry-specific expertise in analytics, strategy and technology and our industrialized solutions and partners, we are uniquely positioned to help you operate as an intelligent business, anywhere in the world. By embedding AI into the core of your business, you’ll not only unlock trapped value, but also create new value to help you realize tangible results. Let’s discover your ambition.